Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-23T00:00:58.093Z Has data issue: false hasContentIssue false

Diet, physical activity and energy balance and their impact on breast and prostate cancers

Published online by Cambridge University Press:  01 December 2006

John M. Saxton*
Affiliation:
Centre for Sport and Exercise Science, Sheffield Hallam University, Sheffield, S10 2BP, UK
*
*Corresponding author: Dr John M. Saxton, fax +44 114 225 4341, email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Obesity, physical activity status and circulating levels of sex steroid hormones and growth factor proteins are intrinsically linked to energy balance. Epidemiological studies have previously reported associations between these factors and the risk of hormone-related cancers such as prostate and breast cancer in men and postmenopausal women. An increasing number of intervention studies in ‘at-risk’ populations and cancer survivors are now investigating the effects of lifestyle interventions that promote negative energy balance on circulating levels of sex hormones and growth factor proteins as surrogate markers of cancer risk. Evidence from these studies suggests that lifestyle interventions can improve insulin sensitivity, alter the balance of circulating sex steroid hormones and insulin-like growth factor (IGF) axis proteins (including IGF-1 and the IGF binding proteins 1 and 3) and change the functioning of immune cells in peripheral blood. Such changes could influence the risk of developing hormone-related cancers, as well as having the potential to improve disease-free survival in patients recovering from cancer treatment. However, despite promising results, the methodological quality of most intervention studies has been limited due to small subject numbers, lack of adequate control groups or non-randomised designs and the absence of long-term follow-up measures. More intervention studies with randomised controlled designs, higher numbers of subjects and longer-term follow-up measures are needed to establish which combination of specific dietary and physical activity interventions work best for reducing risk in ‘at-risk’ populations and survivors, optimal dose–response relationships and the magnitude of change in surrogate markers of cancer risk that is required to induce a protective effect.

Type
Research Article
Copyright
Copyright © The Author 2006

Introduction

In the UK, cancers of the breast and prostate represent the most prevalent forms of the disease in women and men, respectively. More than 40 000 new cases of breast cancer were diagnosed in 2001, which accounts for 30 % of all female cancers and almost half (48 %) of all cancers diagnosed in UK women aged 40–60 years (Cancer Research UK, 2005a). Prostate cancer accounted for 22 % of all male cancers in 2001, with over 30 000 new cases (Cancer Research UK, 2005a). Worldwide, breast cancer was estimated to account for 1 105 000 cases and 373 000 deaths in 2000, with the corresponding figures for prostate cancer being 543 000 cases and 204 000 deaths (Parkin et al. Reference Parkin, Bray, Ferlay and Pisani2001).

Studies of Scandinavian twins led to estimates that over 70 % of breast cancer cases and over 50 % of prostate cancer cases are related to environmental factors (Lichtenstein et al. Reference Lichtenstein, Holm, Verkasalo, Iliadou, Kaprio, Koskenvuo, Pukkala, Skytthe and Hemminki2000). Additional evidence of the role of environmental factors in cancer risk has come from international comparisons, which have reported considerable variation in the incidence of these diseases between countries. For example, the breast cancer incidence is about five times higher in Western countries than in less developed countries and Japan, and mortality from prostate cancer is ten times higher in North America and Europe than Asia (Key et al. Reference Key, Schatzkin, Willett, Allen, Spencer and Travis2004). However, exposure to Western lifestyles increases the risk of developing both hormone-related cancers in Asian women and men who migrate to the USA (Haenszel & Kurihara, Reference Haenszel and Kurihara1968; Ziegler et al. Reference Ziegler, Hoover and Pike1993).

Evidence suggests that the interaction between Western diets and increased levels of obesity, physical inactivity and insulin resistance might be implicated in the risk of hormone-related cancers such as breast and prostate cancer (Stoll, Reference Stoll1999; Barnard et al. Reference Barnard, Aronson, Tymchuk and Ngo2002). Insulin resistance, and the consequent rise in circulating insulin levels, is associated with the consumption of high-fat, refined-sugar diets with excess energy, and overweight individuals, especially with increased intra-abdominal body fat (central adiposity), are at increased risk of hyperinsulinaemia (Matsuzawa et al. Reference Matsuzawa, Shimomura, Nakamura, Keno and Tokunaga1995). However, lifestyle interventions that promote negative energy balance have the potential to improve insulin resistance and influence circulating levels of sex steroid hormones and growth factor proteins that have been linked to the risk of developing hormone-related cancers (Friedenreich & Orenstein, Reference Friedenreich and Orenstein2002; Barnard & Aronson, Reference Barnard and Aronson2005).

The main aim of the present review is to consider the evidence linking the risk of hormone-related cancers with lifestyle factors associated with energy balance. A literature search (Medline; National Library of Medicine, Bethesda, MD, USA) was undertaken to find research articles that had (i) investigated associations between lifestyle factors and cancer risk, and (ii) studied the effects of lifestyle interventions on circulating biomarkers implicated in the development of these diseases in ‘at-risk’ populations. In addition, since lifestyle factors that can affect the risk of developing primary cancers might also be of relevance to the prevention of disease recurrence and secondary primary tumours in cancer survivors, the search was extended to studies of patients recovering from cancer treatment.

Overweight, obesity and risk of hormone-related cancers

Being overweight or obese has been associated with a reduced risk of breast cancer in the premenopausal years (McTiernan, Reference McTiernan2003), although a loss of at least 4·5 kg of body weight between the ages of 18 and 30 years was recently reported to halve the risk of developing breast cancer between the age of 30 and 49 years (Kotsopoulos et al. Reference Kotsopoulos, Olopado and Ghadirian2005). In postmenopausal women, being overweight or obese is associated with a 30–50 % increased risk of developing breast cancer (for a review, see McTiernan, Reference McTiernan2003), though the role of central adiposity in breast cancer risk is more equivocal (Harvie et al. Reference Harvie, Hooper and Howell2003). In addition, a positive association between the risk of oestrogen receptor positive/progesterone receptor positive (ER+/PR+) but not ER − / PR −  breast cancer and BMI was reported for postmenopausal women (Enger et al. Reference Enger, Ross, Paganini-Hill, Carpenter and Bernstein2000), suggesting a hormone-mediated mechanism. Up to 60 % of women diagnosed with breast cancer experience an increase in body weight associated with chemotherapy and treatment-related menopause (Holmes & Kroenke, Reference Holmes and Kroenke2004) and there is evidence that heavier women and women who gain weight after diagnosis have a poorer prognosis and an increased risk of disease recurrence and death compared with normal-weight women, irrespective of menopausal status (Kroenke et al. Reference Kroenke, Chen, Rosner and Holmes2005).

The association between obesity and prostate cancer risk seems less clear, with studies reporting a positive association between BMI and prostate cancer risk, no association and even decreased risk in men under 60 years of age, or those with a family history of prostate cancer (for a review, see Freedland & Aronson, Reference Freedland and Aronson2005). The recent inverse association that has been reported between BMI and prostate cancer risk (Giovannucci et al. Reference Giovannucci, Rimm, Liu, Leitzmann, Wu, Stampfer and Willett2003) is particularly intriguing, as obesity is characterised by lower circulating testosterone levels in men (Field et al. Reference Field, Colditz, Willett, Longcope and McKinlay1994) which could provide a mechanistic link. However, a recent case–control study showed that high visceral fat area and high visceral fat:subcutaneous fat ratio (as quantified by computer tomography) is associated with a more than four-fold increased risk of prostate cancer (von Hafe et al. Reference von Hafe, Pina, Perez, Tavares and Barros2004). There is also a growing body of evidence which shows that obesity is an independent predictor of prostate cancer recurrence, adverse pathological features and biochemical progression in prostate cancer patients following treatment with radical prostatectomy (Bassett et al. Reference Bassett, Cooperberg, Sadetsky, Silva, DuChane, Pasta, Chan, Anast, Carroll and Kane2005; Freedland et al. Reference Freedland, Grubb, Yiu, Humphreys, Nielsen, Mangold, Isaacs and Partin2005).

Physical activity and risk of common hormone-related cancers

Prospective epidemiological studies have shown that physical fitness is a strong predictor of cancer mortality in men but not women, with men in the highest physical fitness category having significantly lower risk of cancer mortality in comparison with their sedentary counterparts (Kampert et al. Reference Kampert, Blair, Barlow and Kohl1996; Evenson et al. Reference Evenson, Stevens, Cai, Thomas and Thomas2003). However, epidemiological evidence of an inverse relationship between physical activity level and risk of hormone-related cancers has been more consistent for breast cancer than for prostate cancer. A comprehensive review of the literature by Gammon et al. (Reference Gammon, John and Britton1998) showed that eighteen out of twenty-five studies reported a decreased risk of breast cancer among women who were most active at work (risk reduction of 18–52 %) or during their leisure time (risk reduction of 12–60 %) in comparison with sedentary women, although a dose–response relationship was not evident in most of the studies (Gammon et al. Reference Gammon, John and Britton1998). It was unclear whether all physically active women are at decreased risk, or whether the risk reduction is restricted to premenopausal or postmenopausal women only. Furthermore, the wide variety of study designs (including prospective and case–control studies) and problems associated with accurately assessing physical activity status contributed to the conflicting findings on the optimal time period, duration, frequency, or intensity of physical activity required to minimise breast cancer risk. For prostate cancer, the evidence is more inconsistent, with about half of the prospective cohort and case–control studies so far completed reporting a reduction in risk in the range of 10–30 % for the most physically active men, but with an increased risk of prostate cancer being observed among the most physically active men in some studies (Thune & Furberg, Reference Thune and Furberg2001; Friedenreich & Orenstein, Reference Friedenreich and Orenstein2002).

Recent evidence has shown that women who have been treated for breast cancer can improve their chances of survival by engaging in a physically active lifestyle (Holmes et al. Reference Holmes, Chen, Feskanich, Kroenke and Colditz2005). Compared with women who were least physically active, the risk of death over an average of 8 years of follow-up was halved in breast cancer patients who reported participating in the equivalent of 3–5 h of walking exercise per week at average pace. The benefit of physical activity was particularly apparent in women whose tumours were over-expressing oestrogen and progesterone receptors, consistent with a hormone-mediated mechanism. No detrimental effects of vigorous physical activity participation were found, but neither was there any evidence that higher weekly energy expenditures were associated with increased benefit (Holmes et al. Reference Holmes, Chen, Feskanich, Kroenke and Colditz2005). No epidemiological studies have investigated the effects of physical activity on disease-free survival in patients recovering from prostate cancer treatment.

Lifestyle change and cancer risk: the role of sex steroid hormones and insulin-like growth factor axis proteins

Since circulating sex steroid hormones and growth factors can be influenced by lifestyle factors such as diet, physical activity level and BMI (Friedenreich & Orenstein, Reference Friedenreich and Orenstein2002; Barnard & Aronson, Reference Barnard and Aronson2005), an increasing number of intervention studies are investigating how lifestyle changes that promote negative energy balance could affect the risk of hormone-related cancers by modulating circulating levels of sex steroid hormones and insulin-like growth factor (IGF) axis proteins. Intervention studies have focused on the effects of increased physical activity levels, dietary fat restriction and combined exercise and dietary interventions. Consumption of low-fat diets is associated with reduced energy intake in comparison with diets with higher fat content (Lissner et al. Reference Lissner, Levitsky, Strupp, Kalkwarf and Roe1987). However, the independent effects of dietary fat restriction and other changes to the quality of the diet, including fibre intake, cannot be overlooked even though the link between dietary fat consumption and risk of hormone-related cancers is unproven (Schuurman et al. Reference Schuurman, van den Brandt, Dorant and Goldbohm1999; Chan et al. Reference Chan, Stampfer, Ma, Gann, Gaziano and Giovannucci2001; Michaud et al. Reference Michaud, Augustsson, Rimm, Stampfer, Willet and Giovannucci2001; Smith-Warner et al. Reference Smith-Warner, Spiegelman and Adami2001).

Sex steroid hormones and risk of hormone-related cancers

Breast cancer

The three principal forms of oestrogen in the human body are oestrone, oestradiol and oestriol. In premenopausal women, most oestrogen is produced in the ovaries, with a smaller quantity being produced in the adrenal glands and peripheral tissues (including adipose tissue, the liver and kidneys). After the menopause, ovarian oestrogen synthesis is negligible but oestrogens continue to be synthesised, mainly in the stromal cell fraction of subcutaneous adipose tissue via aromatase activity (Simpson et al. Reference Simpson, Merrill, Hollub, Graham-Lorence and Mendelson1989). Oestradiol is the primary circulating oestrogen before the menopause, whereas oestrone produced from the peripheral conversion of adrenal androstenedione via aromatase activity in subcutaneous adipose tissue becomes the dominant oestrogen in postmenopausal women (Schindler et al. Reference Schindler, Ebert and Friedrich1972).

Breast cancer risk is increased by early menarche and late menopause (Kelsey, Reference Kelsey1979), suggesting an association with premenopausal cyclic ovarian function and duration of oestrogen and progesterone exposure. Oestradiol stimulates breast cell mitosis and evidence suggests that this effect is augmented by progesterone during the luteal phase of the menstrual cycle (Key, Reference Key1999). In addition, some breast cancer cell lines are oestrogen dependent (Pike et al. Reference Pike, Spicer, Dahmoush and Press1993), with about two-thirds of these tumours expressing higher concentrations of oestrogen receptor than normal breast tissues (Early Breast Cancer Trialists' Collaborative Group, 1998), whereas anti-oestrogens such as tamoxifen and ovariectomy inhibit hormone-dependent breast cancer growth (Bulbrook et al. Reference Bulbrook, Greenwood, Hadfield and Scowen1958; Bagga et al. Reference Bagga, Ashley, Geffrey, Wang, Barnard, Korenman and Heber1995).

Although cumulative lifetime exposure to sex steroid hormones such as oestrogen is considered to increase breast cancer risk, there is no convincing epidemiological evidence of a positive association between increased circulating levels of oestradiol and breast cancer risk in premenopausal women, but results may be confounded by variations in endogenous hormone levels. Of four prospective studies in premenopausal women, two small-scale studies showed no effect and two slightly larger-scale studies showed non-significant trends for higher oestradiol concentrations to be positively correlated with breast cancer risk (for a review, see Key, Reference Key1999). However, non-protein-bound (bioavailable) oestradiol is increased in premenopausal breast cancer patients and this is not due to a decrease in circulating sex hormone-binding globulin (SHBG) (Moore et al. Reference Moore, Clark, Bulbrook, Hayward, Murai, Hammond and Siiteri1982), which limits the bioavailability of sex steroid hormones in the circulation. More consistent evidence of a link between circulating oestrogens and breast cancer risk exists for postmenopausal women. A recent meta-analysis of nine prospective studies (Key et al. Reference Key, Appleby, Barnes and Reeves2002) showed that circulating levels of oestrogens, androgens and their precursors are directly related to breast cancer risk in postmenopausal women. Postmenopausal women in the highest quintile of circulating sex hormones had at least a two-fold increased risk of breast cancer compared with women in the lowest quintile. This was true for circulating levels of total and free oestradiol, oestrone, oestrone sulfate, androstenedione, dehydroepiandrosterone (DHEA) and testosterone. The oestrone sulfate:oestrone ratio has also been inversely associated with breast cancer risk in postmenopausal women (Dorgan et al. Reference Dorgan, Longcope, Stephenson, Falk, Miller, Franz, Kahle, Campbell, Tangrea and Schatzkin1996b).

The potential adverse effect of obesity on levels of circulating tumour-promoting sex steroid hormones is likely to underpin most of the increased risk of breast cancer in overweight or obese postmenopausal women. The amount of oestrogen produced from adrenal androstenedione in subcutaneous adipose tissue via aromatase activity and the proportion of oestradiol that is bioavailable (as opposed to protein-bound) is increased in obese v. leaner postmenopausal women (MacDonald et al. Reference MacDonald, Edman, Hemsell, Porter and Siiteri1978). Furthermore, higher circulating concentrations of oestrone, oestradiol and testosterone, as well as lower circulating levels of SHBG have been reported in obese v. leaner postmenopausal women and breast cancer survivors (Verkasalo et al. Reference Verkasalo, Thomas, Appleby, Davey and Key2001; McTiernan et al. Reference McTiernan, Rajan, Tworoger, Irwin, Bernstein, Baumgartner, Gilliland, Stanczyk, Yasui and Ballard-Barbash2003). A number of other studies have reported a negative correlation between SHBG and total body fat mass, subcutaneous and intra-abdominal fat and BMI in both premenopausal and postmenopausal women (Haffner et al. Reference Haffner, Katz and Dunn1991; Turcato et al. Reference Turcato, Zamboni, De, Armellini, Zivelonghi, Bergamo-Andreis, Giorgino and Bosello1997; Tchernof et al. Reference Tchernof, Toth and Poehlman1999). Because SHBG serves as a carrier for oestrogen and regulates bioavailability, increased adiposity could be associated with an increase in bioavailable oestrogen.

Prostate cancer

Prostate growth and maintenance depend on androgens such as testosterone (the principal circulating androgen in adult males) and 5α-dihydrotestosterone (DHT), the primary androgen in the prostate gland and most potent androgen (Hsing et al. Reference Hsing, Reichardt and Stanczyk2002). The largest proportion of DHT (65–75 %) arises from the conversion of testosterone in peripheral tissue in a reaction catalysed by the enzyme 5α-reductase or from inactive forms of circulating androgens such as androstenedione, DHEA and DHEA sulfate (Hsing et al. Reference Hsing, Reichardt and Stanczyk2002). Serum concentration of 3α-androstanediol glucuronide (3α-diol G), the main metabolite of DHT, is commonly used as an index of steroid 5α-reductase activity in the prostate gland, or more generally, intraprostatic androgenicity (Gann et al. Reference Gann, Hennekens, Ma, Longcope and Stampfer1996). Evidence suggests that this predominantly reflects type 2 5α-reductase which predominates in the prostate gland, because serum levels of DHT and 3α-diol G decrease in a similar fashion in men treated with the 5α-reductase type 2 inhibitor, finasteride (Stanczyk et al. Reference Stanczyk, Skinner, Mertes, Spahn, Lobo, Ross, Li, Li, Gustafsson, Nandi and Sekely1996). The serum testosterone:DHT ratio has also been used as an index of steroid 5α-reductase type 2 activity (Hsing & Comstock, Reference Hsing and Comstock1993; Nomura et al. Reference Nomura, Stemmermann, Chyou, Henderson and Stanczyk1996).

A meta-analysis of prospective cohort or nested case–control studies showed that men who were in the highest quartile for circulating testosterone level were 2·34 times as likely to develop prostate cancer than those in the lowest quartile (Shaneyfelt et al. Reference Shaneyfelt, Husein, Bubley and Mantzoros2000). Administration of testosterone induces prostate tumours in laboratory animals, whereas prostate cancer regresses after androgen ablation or anti-androgen therapy. Evidence suggests that androgens increase the expression, bioavailability and activity of IGF axis proteins and their receptors, which could have important implications for prostate cancer risk (Chokkalingam et al. Reference Chokkalingam, Pollak and Fillmore2001). In a Chinese population-based case–control study, adjustment for 3α-diol G and SHBG increased the magnitude of association between prostate cancer risk and serum or plasma IGF-1 levels, and the relationship between IGF-1 levels and prostate cancer risk was significantly more pronounced among men with higher 3α-diol G levels, suggesting a significant interaction (Chokkalingam et al. Reference Chokkalingam, Pollak and Fillmore2001). In addition, animal studies have shown that induction of prostate tumours by administration of testosterone is enhanced by the addition of oestradiol (Shirai et al. Reference Shirai, Imaida, Masui, Iwasaki, Mori, Kato and Ito1994), suggesting oestrogens at physiological levels can also enhance prostate carcinogenesis.

The urinary products of oestrogen metabolism, 16α-hydroxyoestrone and 2-hydroxyoestrone, resulting from the hydroxylation of the parent oestrogens (oestradiol and oestrone), have also been studied in relation to prostate cancer in elderly men. 16α-Hydroxyoestrone is oestrogenic whereas 2-hydroxyoestrone can act as an oestrogen antagonist (Pasagian-Macaulay et al. Reference Pasagian-Macaulay, Meilahn, Bradlow, Sepkovic, Buhari, Simkin-Silverman, Wing and Kuller1996). Urinary 2-hydroxyoestrone concentration was recently shown to be negatively related to circulating prostate-specific antigen (PSA) levels in older African-American men, with a reduction of 14·2 % for each 1·0 ng/ml increase in circulating PSA concentration (Teas et al. Reference Teas, Cunningham, Fowke, Nitcheva, Kanwat, Boulware, Sepkovic, Hurley and Hebert2005). However, an increase in urinary 2-hydroxyoestrone clearance was also observed in older men with high BMI (>30 kg/m2), suggesting dysregulation of this oestrogen metabolism pathway (Teas et al. Reference Teas, Cunningham, Fowke, Nitcheva, Kanwat, Boulware, Sepkovic, Hurley and Hebert2005). BMI has been reported to be positively correlated with prostate volume in black and white Caucasian men (Daniell, Reference Daniell1993; Soygur et al. Reference Soygur, Kupeli, Aydos, Kupeli, Arikan and Muftuoglu1996; Sarma et al. Reference Sarma, Jaffe, Schottenfeld, Dunn, Montie, Cooney and Wei2002), which could be linked to increased oestradiol and oestrone levels in obese men through the transformation of adrenal androstenedione via aromatase activity in subcutaneous adipose tissue (Sarma et al. Reference Sarma, Jaffe, Schottenfeld, Dunn, Montie, Cooney and Wei2002). Aromatase activity accounts for a large proportion of oestradiol and oestrone production in men and increases with obesity and age (Kley et al. Reference Kley, Deselaers, Peerenboom and Kruskemper1980). However, the association between BMI and prostate volume in black men observed by Sarma et al. (Reference Sarma, Jaffe, Schottenfeld, Dunn, Montie, Cooney and Wei2002) was independent of oestrogen or testosterone levels (Sarma et al. Reference Sarma, Jaffe, Schottenfeld, Dunn, Montie, Cooney and Wei2002). Although there is limited research in this area, further studies of oestrogen metabolism, its links to prostate cancer risk, and the possible modulating effects of obesity and lifestyle interventions in middle-aged men at increased risk are warranted.

Reduced dietary fat, physical activity and circulating sex steroid hormones

A meta-analysis of dietary fat intervention studies, in which percentage energy from fat intake was changed to 18–25 % in eleven studies and 10–12 % in two studies, showed that reduced dietary fat intake was associated with decreases in serum oestradiol of 7·4 % in premenopausal women (measured at various points of the menstrual cycle) and 23 % in postmenopausal women (Wu et al. Reference Wu, Pike and Stram1999). In premenopausal women, postmenopausal women and postmenopausal breast cancer survivors, decreases in circulating oestrone and oestrone sulfate and oestradiol have all been observed following short-term low-fat dietary interventions in which the total energy intake from fat was restricted to 10–25 % from 3 weeks to 6 months duration (Rose et al. Reference Rose, Boyar, Cohen and Strong1987, Reference Rose, Chlebowski, Connolly, Jones and Wynder1992, Reference Rose, Connolly, Chlebowski, Buzzard and Wynder1993; Boyar et al. Reference Boyar, Rose, Loughridge, Engle, Palgi, Laakso, Kinne and Wynder1988; Woods et al. Reference Woods, Gorbach, Longcope, Goldin, Dwyer and Morrill-LaBrode1989, Reference Woods, Barnett, Spiegelman, Trail, Hertzmark, Longcope and Gorbach1996; Heber et al. Reference Heber, Ashley, Leaf and Barnard1991; Goldin et al. Reference Goldin, Woods, Spiegelman, Longcope, Morrill-LaBrode, Dwyer, Gualtieri, Hertzmark and Gorbach1994). However, in these populations, there is also evidence that SHBG decreases in response to low-fat diets or moderate restriction of energy intake (Rose et al. Reference Rose, Connolly, Chlebowski, Buzzard and Wynder1993; Goldin et al. Reference Goldin, Woods, Spiegelman, Longcope, Morrill-LaBrode, Dwyer, Gualtieri, Hertzmark and Gorbach1994; Crave et al. Reference Crave, Fimbel, Lejeune, Cugnardey, Dechaud and Pugeat1995; Woods et al. Reference Woods, Barnett, Spiegelman, Trail, Hertzmark, Longcope and Gorbach1996), potentially increasing sex steroid hormone bioavailability, although more severe short-term restriction of energy intake (1380 kJ (330 kcal)/d) increases circulating SHBG levels (Franks et al. Reference Franks, Kiddy, Hamilton-Fairley, Bush, Sharp and Reed1991).

In postmenopausal breast cancer survivors, some recent preliminary evidence shows that eating a low-fat diet could significantly improve relapse-free survival. Women who reduced their dietary fat intake to 20 % of the total energy were compared with a control group eating a standard diet containing a higher proportion of fat. After 5 years, breast cancer had recurred in 9·8 % of the women in the intervention group in comparison with 12·4 % in the controls but the dietary effect appeared to be greater in women with hormone receptor-negative disease (Chlebowski et al. Reference Chlebowski, Blackburn, Elashoff, Thomson, Goodman, Shapiro, Giuliano, Karanja, Hoy and Nixon2005). This suggests that the apparent protective effect of the lower-fat diet was not associated with a hormone-mediated mechanism. These preliminary data did not control for fruit and vegetable consumption, chemotherapy treatment or the effects of weight loss, which averaged nearly 2 kg in the intervention group.

In middle-aged men, change from a high-fat, low-fibre diet to a low-fat, high-fibre diet over a period of 8 weeks resulted in a decrease in circulating testosterone and adrenal androgens (androstenedione and DHEA), and smaller decreases in circulating concentrations of oestradiol and SHBG without altering urinary clearance (Wang et al. Reference Wang, Catlin, Starcevic, Heber, Ambler, Berman, Lucas, Leung, Schramm, Lee, Hull and Swerdloff2005). A decrease in circulating total testosterone and SHBG-bound testosterone has also been reported in men aged 19–56 years after changing from a high-fat, low-fibre diet to a low-fat, high-fibre diet (Dorgan et al. Reference Dorgan, Judd and Longcope1996a).

Participation in physical activity is reported to be associated with changes in menstrual cycle duration and circulating oestrogens that could potentially influence breast cancer risk. In premenopausal women, regular exercise is associated with longer menstrual cycles which might be due to suppressed release of gonadotrophin-releasing hormone (Walberg-Rankin et al. Reference Walberg-Rankin, Franke and Gwazdauskas1992; Cooper et al. Reference Cooper, Sandler, Whelan and Smith1996) and can delay the onset of the menstrual cycle in adolescent females or cause anovulation so that exposure to oestrogen and progesterone is reduced or delayed (Bernstein et al. Reference Bernstein, Ross, Lobo, Hanisch, Krailo and Henderson1987; Merzenich et al. Reference Merzenich, Boeing and Wahrendorf1993). In postmenopausal women, increased levels of physical activity were reported to be associated with decreased serum concentrations of oestrone (but not oestradiol or testosterone) (Nelson et al. Reference Nelson, Meredith, Dawson-Hughes and Evans1988), whereas 4–5 months of moderate-intensity physical exercise resulted in decreased circulating levels of SHBG (Caballero & Maynar, Reference Caballero and Maynar1992; Caballero et al. Reference Caballero, Mahedero, Hernandez, Alvarez, Rodriguez, Rodriguez and Maynar1996), which could act to increase sex steroid hormone bioavailability.

There is limited evidence from short-term combined programmes of exercise and low-fat diets in premenopausal or postmenopausal women or in middle-aged men. However, in a study of postmenopausal women following a low-fat (10 % of total energy) high-fibre (8·4–9·6 g dietary fibre/100 kJ (35–40 g dietary fibre/1000 kcal) per d) complex-carbohydrate diet combined with exercise (walking exercise 6–7 d/week), serum insulin was decreased by 39 and 19 % in those taking and not taking hormone replacement therapy, respectively, and was associated with corresponding increases in SHBG of 39 and 42 % in the two groups, which could decrease sex steroid hormone bioavailability (Tymchuk et al. Reference Tymchuk, Tessler and Barnard2000). However, a small feasibility study, involving ten breast cancer survivors who were mainly postmenopausal, only reported slight non-significant changes in free oestradiol, oestrone sulfate, total testosterone, androstenedione and DHEA after a combined 8-week low-fat (20 % of total energy) and aerobic exercise intervention (McTiernan et al. Reference McTiernan, Ulrich, Kumai, Bean, Schwartz, Mahloch, Hastings, Gralow and Potter1998a) in which a moderate 1·2 kg loss of body weight was also observed (Table 1). In middle-aged men following a combined 3-week intensive low-fat-diet (10 % fat; 10–15 % protein; 75–80 % high-complex carbohydrate) and exercise intervention (daily walking and supervised exercise), serum oestradiol was halved but without change in serum testosterone levels (Rosenthal et al. Reference Rosenthal, Barnard, Rose, Inkeles, Hall and Pritikin1985). In another study by the same group (Tymchuk et al. Reference Tymchuk, Tessler, Aronson and Barnard1998), an increase in serum SHBG was accompanied by a decrease in fasting insulin in middle-aged men following the same intervention (Table 1).

Table 1 The effects of combined low-fat and aerobic exercise interventions on circulating levels of insulin, sex steroid hormones and/or insulin-like growth factor (IGF) axis proteins

DE, combined low-fat diet and aerobic exercise intervention; C, control group; ↑ , increase; HRT, hormone replacement therapy; ST, short-term; ↓ , decrease; SHBG, sex hormone-binding globulin; PSA, prostate-specific antigen; LT, long-term; LNCaP, androgen-dependent prostate cancer cell line; FBS, fetal bovine serum; IGFBP, insulin-like growth factor binding protein; E, aerobic exercise-only intervention; DHEA, dehydroepiandrosterone; CRP, C-reactive protein.

The urinary products of oestrogen metabolism, 16α-hydroxyoestrone and 2-hydroxyoestrone, have also been studied in relation to breast cancer risk and lifestyle interventions associated with negative energy balance in premenopausal and postmenopausal women. Two published prospective studies reported a trend for a higher urinary 2-hydroxyoestrone:16α-hydroxyoestrone ratio to be associated with a reduced risk of breast cancer in premenopausal and postmenopausal women (Meilahn et al. Reference Meilahn, De, Allen, Fentiman, Bradlow, Sepkovic and Kuller1998; Muti et al. Reference Muti, Bradlow and Micheli2000). However, studies that have investigated the effect of exercise and dietary interventions on this oestrogen metabolite ratio (to establish whether the pathway of oestrogen metabolism can be manipulated by lifestyle changes) have yielded inconsistent results (Longcope et al. Reference Longcope, Gorbach, Goldin, Woods, Dwyer, Morrill and Warram1987; Pasagian-Macaulay et al. Reference Pasagian-Macaulay, Meilahn, Bradlow, Sepkovic, Buhari, Simkin-Silverman, Wing and Kuller1996; Atkinson et al. Reference Atkinson, Lampe and Tworoger2004; Matthews et al. Reference Matthews, Fowke, Dai, Leon, Jin, Shu, Gao, Longcope, Hebert and Zheng2004; Campbell et al. Reference Campbell, Westerlind, Harber, Friedenreich and Courneya2005).

Of all the possible combinations of negative lifestyle interventions (low-fat diet with or without exercise, exercise alone), the most consistent evidence for an oestrogen-lowering effect exists for restricted dietary fat consumption. A number of mechanisms could explain the decrease in circulating oestrogen levels following reduced dietary fat consumption. Decreased rates of aromatisation in adipose tissue, leading to decreased oestradiol production, could result from a decrease in fat mass or through the conditions of negative energy balance modulating cellular enzyme activity (Heber et al. Reference Heber, Ashley, Leaf and Barnard1991). In addition, a reduction in dietary fat intake as part of an energy-restriction diet can affect β-glucoronidase activity in the intestinal flora (Goldin & Gorbach, Reference Goldin and Gorbach1976), which deconjugates biliary oestrogens so they can be reabsorbed from the intestinal tract, with the remaining conjugated oestrogens being excreted (Goldin et al. Reference Goldin, Adlercreutz, Gorbach, Warram, Dwyer, Swenson and Woods1982). β-Glucoronidase activity increases with high-fat diets, especially high saturated fat intake (Goldin & Gorbach, Reference Goldin and Gorbach1976) which would decrease excretion. Increased faecal oestrogen excretion in vegetarian compared with omnivorous women may also support and emphasise an important role for dietary fibre in the control of oestrogen levels (Goldin et al. Reference Goldin, Adlercreutz, Gorbach, Warram, Dwyer, Swenson and Woods1982). Added benefits of increasing fibre intake during the consumption of low-fat diets might accrue from the presence in high-fibre diets of naturally occurring substances with weak oestrogenic and anti-oestrogenic activity, which may induce production of SHBG in the liver and positively influence sex hormone metabolism and the resulting biological effects (Adlercreutz et al. Reference Adlercreutz, Fotsis, Bannwart, Wahala, Makela, Brunow and Hase1986).

Insulin-like growth factor axis proteins and risk of hormone-related cancers

The IGF system consists of the IGF ligands (IGF-1 and IGF-2), cell surface receptors that mediate the biological effects of the IGF, including the IGF-1 and IGF-2 receptors, the insulin receptor and a family of IGF binding proteins (IGFBP-1–6) (LeRoith & Roberts, Reference LeRoith and Roberts2003). The IGF have an important role in normal growth and development, as well as in a variety of pathological situations, including tumorigenesis (Khandwala et al. Reference Khandwala, McCutcheon, Flyvbjerg and Friend2000). IGF are potent mitogens for diverse cancer cell lines in vitro (Maloney et al. Reference Maloney, McLaughlin, Dagdigian, Garrett, Connors, Zhou, Blattler, Chittenden and Singh2003) and also suppress apoptosis (Parrizas & LeRoith, Reference Parrizas and LeRoith1997; Heron-Milhavet & LeRoith, Reference Heron-Milhavet and LeRoith2002). Extensive evidence shows that breast cancer cells are responsive to exogenous IGF and tamoxifen reduces circulating IGF-1 levels (Pollak, Reference Pollak1998). IGF also exert strong mitogenic and anti-apoptotic effects on normal and transformed prostatic epithelial cells both in vitro and in vivo (Cohen et al. Reference Cohen, Peehl, Lamson and Rosenfeld1991; Angelloz-Nicoud & Binoux, Reference Angelloz-Nicoud and Binoux1995; Torring et al. Reference Torring, Vinter-Jensen, Pedersen, Sorensen, Flyvbjerg and Nexo1997) and modulate growth of the prostate carcinoma cell lines LNCaP, PC-3 and DU-145 in vitro (Pietrzkowski et al. Reference Pietrzkowski, Mulholland, Gomella, Jameson, Wernicke and Baserga1993; Ngo et al. Reference Ngo, Barnard, Leung, Cohen and Aronson2003). Up regulation of IGF-1 receptor expression could augment the response to IGF-1. Compared with equivalent healthy tissues, the IGF-1 receptor is over-expressed in human malignancies, including cancers of the breast and prostate (Hellawell et al. Reference Hellawell, Turner, Davies, Poulsom, Brewster and Macaulay2002; Perks & Holly, Reference Perks and Holly2003).

Hepatic production of IGF axis proteins is mainly dependent on growth hormone secretion (Janssen et al. Reference Janssen, Wildhagen, Ito, Blijenberg, Van Schaik, Roobol, Pols, Lamberts and Schroder2004), but circulating levels are also affected by age and sex, insulin, nutritional status, the host response to systemic diseases such as cancer and endocrine therapy, whereas the locally expressed components are controlled by factors specific to each individual tissue (Rajaram et al. Reference Rajaram, Baylink and Mohan1997; Perks & Holly, Reference Perks and Holly2003). IGF-1 is the major bioactive component among the IGF and shares significant structural homology with insulin (Yu & Rohan, Reference Yu and Rohan2000). IGF-1 bioavailability is influenced by circulating free levels and production in the tissues, as well as tissue expression of the IGF receptors. However, IGF bioavailability in the circulation and extracellular fluids is also modulated by the IGFBP, which bind with varying relative affinity for IGF-1 and IGF-2 (Foulstone et al. Reference Foulstone, Prince, Zaccheo, Burns, Harper, Jacobs, Church and Hassan2005). The most frequently studied binding proteins in relation to cancer risk are IGFBP-1 and IGFBP-3, which are secreted primarily by the liver (Goodwin et al. Reference Goodwin, Ennis, Pritchard, Trudeau, Koo, Hartwick, Hoffma and Hood2002a). Over 90 % of the circulating IGF-1 is bound in a ternary complex with IGFBP-3 (the most abundant circulating binding protein) and a glycoprotein, the acid-labile subunit, and this complex, which constitutes a storage pool of IGF-1 in the blood (Allen et al. Reference Allen, Appleby, Kaaks, Rinaldi, Davey and Key2003), is too large to cross the endothelial membrane. IGFBP-1 is a smaller protein structure that does not form a ternary complex and can pass to the extracellular tissue. Thus, IGFBP-1 is found predominantly in the tissues (although detectable levels circulate in the blood) and acts primarily to inhibit the physiological effects of IGF-1 (Rajaram et al. Reference Rajaram, Baylink and Mohan1997). Changes in IGFBP production resulting from interventions or lifestyle changes affect IGF bioavailability. IGFBP are also subject to potentially regulating proteolysis by various proteases secreted by prostate and breast cancer cells that may act as growth stimulators by increasing local IGF bioavailability (Baxter, Reference Baxter2000).

A recent systematic review and meta-regression analysis of twenty-six datasets from twenty-one studies conducted by Renehan et al. (Reference Renehan, Zwahlen, Minder, O'Dwyer, Shalet and Egger2004) showed that high circulating levels of IGF-1 (highest quartile v. lowest quartile) was associated with a 49 % increased risk of prostate cancer and a 65 % increased risk of premenopausal breast cancer, whereas no association was found for postmenopausal breast cancer. This comprehensive review considered evidence from fifteen prospective studies (usually nested within larger cohorts) and six case–control studies. Prospective studies are preferred because circulating levels of factors that could be implicated in cancer risk can be increased by the disease process itself, and this can undermine the predictive validity of case–control studies. However, re-analysis of the systematic review and meta-analysis presented by Renehan et al. (Reference Renehan, Zwahlen, Minder, O'Dwyer, Shalet and Egger2004) showed that the strengths of association for prostate cancer and premenopausal breast cancer were increased when the case–control studies were omitted from the analysis (Holly, Reference Holly2004).

No consistent association between higher circulating levels of IGFBP-3 and reduced risk of hormone-related cancers was found in a recent systematic review and meta-analysis (Renehan et al. Reference Renehan, Zwahlen, Minder, O'Dwyer, Shalet and Egger2004) and the association between circulating IGFBP-1 and cancer risk has been less well studied. In postmenopausal breast cancer patients, circulating levels of IGFBP-1 significantly predicted distant disease recurrence and death (but the effects were not independent of fasting insulin levels), whereas circulating IGFBP-3 concentrations only predicted distant disease recurrence (Goodwin et al. Reference Goodwin, Ennis, Pritchard, Trudeau, Koo, Hartwick, Hoffma and Hood2002a). However, no association between circulating IGFBP-3 and disease recurrence or disease-free survival was reported in another study (Rocha et al. Reference Rocha, Hilsenbeck, Jackson, VanDenBerg, Weng, Lee and Yee1997). In prostate cancer patients, serum IGFBP-3 levels were low in comparison with normal controls (Kanety et al. Reference Kanety, Madjar, Dagan, Levi, Papa, Pariente, Goldwasser and Karasik1993) and lower in patients with advanced disease v. those with localised tumours and benign prostate hyperplasia (Miyata et al. Reference Miyata, Sakai, Hayashi and Kanetake2003). There is evidence that IGFBP-1 and IGFBP-3 can inhibit the growth of breast and prostate cancer cell lines in vitro (Figueroa et al. Reference Figueroa, Lee, Jackson and Yee1995; Butt et al. Reference Butt, Fraley, Firth and Baxter2002; Wilson et al. Reference Wilson, Birnbaum, Poot, Quinn and Swisshelm2002). As IGFBP limit IGF bioavailability, increased circulating and/or tissue levels could blunt the proliferative effect of IGF on normal and transformed cancer cells. In addition, binding protein proteases such as PSA can modulate IGF bioavailability in the cellular milieu (Pollak, Reference Pollak1998). In this respect, the IGFBP-3:PSA ratio was identified as an independent predictor of relapse-free and cause-specific survival in advanced prostate cancer patients who were treated with hormonal therapy (Miyata et al. Reference Miyata, Sakai, Hayashi and Kanetake2003). However, in some cellular environments IGFBP-3 is anti-apoptotic, as shown with the Hs578T breast cancer cell line (McCaig et al. Reference McCaig, Perks and Holly2002) and this might explain the recently reported positive association between higher IGFBP-3 and premenopausal breast cancer risk in a recent systematic review and meta-analysis (Renehan et al. Reference Renehan, Zwahlen, Minder, O'Dwyer, Shalet and Egger2004).

Dietary energy restriction, physical activity and circulating insulin-like growth factor axis proteins

IGF-1 levels decrease in response to fasting and protein–energy malnutrition, but levels are restored in response to improvements in energy intake and are increased above normal levels and overfeeding (Yu & Rohan, Reference Yu and Rohan2000). IGFBP-1 levels are also influenced by nutritional state, with serum levels being highest during fasting and lowest in the fed state, and an inverse association between circulating IGFBP-1 concentration and insulin secretion (Musey et al. Reference Musey, Goldstein, Farmer, Moore and Phillips1993; Ferry et al. Reference Ferry, Katz, Grimberg, Cohen and Weinzimer1999). A 50 % reduction in energy intake over 6 d caused a significant increase in IGFBP-1 in normal adults (Smith et al. Reference Smith, Underwood and Clemmons1995). Conversely, circulating IGFBP-1 levels are chronically reduced in conditions of elevated fasting insulin levels, such as obesity and insulin resistance (Kaaks & Lukanova, Reference Kaaks and Lukanova2001). Although circulating IGFBP-3 may be less acutely affected by the metabolic state (Underwood et al. Reference Underwood, Thissen, Lemozy, Ketelslegers and Clemmons1994; Smith et al. Reference Smith, Underwood and Clemmons1995), circulating IGFBP-3 decreases with prolonged energy and/or protein restriction (Smith et al. Reference Smith, Underwood and Clemmons1995; Underwood, Reference Underwood1996).

Short-term vigorous aerobic exercise training (in the absence of frank over-feeding) appears to decrease the circulating IGF-1, even in weight-stable individuals (Nemet et al. Reference Nemet, Connolly, Pontello-Pescatello, Rose-Gottron, Larson, Galassetti and Cooper2004). However, evidence for an attenuating effect of regular moderate intensity physical activity on circulating IGF-1 levels is equivocal, as the association between a physically active lifestyle and circulating IGF-1 axis proteins is complex (for a review, see Yu & Rohan, Reference Yu and Rohan2000), being confounded by dietary patterns, age and type of physical activity performed. In premenopausal women, a non-significant trend for increased levels of physical activity to be associated with lower IGF-1 and IGFBP-3 levels and increased levels of IGFBP-1 was reported by Voskuil et al. (Reference Voskuil, Bueno de Mesquita, Kaaks, van Noord, Rinaldi, Riboli, Grobbee and Peeters2001), whereas a 12-month moderate-intensity aerobic exercise programme (5 d/week) had no effect on serum concentrations of IGF-1 or IGFBP-3 (or the ratio of the two) in overweight postmenopausal women (McTiernan et al. Reference McTiernan, Sorensen, Yasui, Tworoger, Ulrich, Irwin, Rudolph, Stanczyk, Schwartz and Potter2005). Furthermore, there were no changes in resting circulating levels of IGF-1, IGFBP or testosterone following a 6-month programme of resistance training in women aged 60–85 years (Borst et al. Reference Borst, Vincent, Lowenthal and Braith2002) or following a 12-week programme of endurance exercise in elderly women (Lange et al. Reference Lange, Lorentsen, Isaksson, Juul, Rasmussen, Christensen, Bulow and Kjaer2001). Similar findings have been reported following a strength training programme in postmenopausal breast cancer survivors (Schmitz et al. Reference Schmitz, Ahmed, Hannan and Yee2005a). However, significantly greater changes in circulating levels of IGF-1 (decrease), IGFBP-3 (increase) and the IGF-1:IGFBP-3 ratio (decrease) were observed following a 15-week aerobic exercise intervention in women recovering from breast cancer treatment v. a patient control group (Fairey et al. Reference Fairey, Courneya, Field, Bell, Jones and Mackey2003). In this study, there was no difference between the increases in circulating IGFBP-1 recorded for the exercise (+5·6 %) or control (+4·2 %) groups and weight loss was minimal, showing that potentially beneficial changes in IGF axis proteins can be induced by exercise without loss of body weight (Fairey et al. Reference Fairey, Courneya, Field, Bell, Jones and Mackey2003). The authors also highlighted the similarity of changes in IGF axis proteins evoked by oestrogen receptor modulation therapies (raloxifene and tamoxifen) in postmenopausal breast cancer survivors. The strengths of the latter two studies include the randomised controlled designs, high exercise adherence rate, and with minimal loss to follow-up, although subject numbers were limited to between twenty-five and thirty-six in the exercise and control groups.

In middle-aged men, a series of insightful studies have investigated the effects of exercise, low-fat diets and combined low-fat diet and exercise programmes on IGF axis markers and the mechanisms by which these interventions might help to reduce the risk of prostate cancer. The effects of short- and long-term combined programmes of low-fat diet and aerobic exercise on circulating IGF axis proteins and insulin were compared in overweight middle-aged men by Ngo et al. (Reference Ngo, Barnard, Tymchuk, Cohen and Aronson2002). Men recruited for the short-term programme consumed a low-fat diet ( < 10 % fat, 10–15 % protein and 75–80 % carbohydrate) and participated in daily aerobic exercise (60 min/d) for 11 d. These were compared with men who had been following a similar regimen for an average of 14·2 years. The researchers also examined the effects of changes in circulating IGF axis proteins and sex steroid hormones on prostate cancer cell growth in vitro by incubating baseline and post-intervention serum with the androgen-dependent prostate cancer cell line LNCaP in cell culture. Fasting insulin levels were 25 and 68 % lower than baseline levels following the short- and long-term combined programmes, respectively, corresponding to decreases in serum IGF-1 of 20 and 55 %, increases in IGFBP-1 of 53 and 150 % and decreases in body weight of 4 and 38 %, respectively. There was no change in circulating IGFBP-3 concentration in either group. LNCaP apoptosis was increased and cell growth inhibited by 30 % (short-term intervention) and 44 % (long-term intervention) when cells were incubated with post-intervention serum v. baseline serum in the cell-culture experiments. Serum levels of IGF-1 and IGFBP-1 were positively and negatively correlated with LNCaP growth, respectively (Table 1).

In another study by the same group, similar positive changes in fasting insulin and IGF axis proteins to those observed following the long-term combined diet and exercise programme were apparent in men who had been engaged in a long-term exercise intervention for an average time of 10 years (Barnard et al. Reference Barnard, Ngo, Leung, Aronson and Golding2003). However, the increase in circulating IGFBP-1 was reported to be greater in men who had been following the long-term combined programme than in men engaged in long-term exercise only. LNCaP cell growth was inhibited to a similar degree when incubated with serum from men on the two interventions in relation to control serum in cell culture, but significantly greater apoptosis was observed when LNCaP cells were incubated in serum from men on the combined diet and exercise intervention. This later finding could have been influenced by the greater change in IGFBP-1 observed in the group following the combined programme as all other changes in serum factors were similar (Table 1).

Other studies by the same group showed that even though the long-term combination of low-fat diet and regular exercise reduced circulating levels of sex hormones in the middle-aged men (Rosenthal et al. Reference Rosenthal, Barnard, Rose, Inkeles, Hall and Pritikin1985), changes in IGF axis proteins were shown to be mainly responsible for the ability of post-intervention serum to inhibit prostate cancer cell growth in the cell-culture experiments. Adding sex steroid hormones and insulin back to the diet and exercise serum, so that levels were comparable with baseline measures before incubation with the LNCaP cells, showed that reductions in serum oestradiol, free testosterone and insulin induced by the diet and exercise intervention accounted for only half of the inhibitory effects on cell growth observed (Tymchuk et al. Reference Tymchuk, Barnard, Ngo and Aronson2002). However, the inhibition of LNCaP cell growth was completely eliminated by adding back IGF-1 (Barnard et al. Reference Barnard, Ngo, Leung, Aronson and Golding2003). Furthermore, when IGFBP-1 was added to baseline serum, LNCaP growth was reduced and apoptosis induced (Ngo et al. Reference Ngo, Barnard, Leung, Cohen and Aronson2003). This series of studies has yielded some very interesting data on the effects of low-fat dietary and moderate-intensity exercise interventions on IGF axis proteins and sex steroid hormones, and the mechanisms by which such changes could influence prostate cancer development. However, small subject numbers, cross-sectional designs or the lack of a control group and the problem of extrapolating in vitro cell-culture data to the in vivo situation are significant limitations.

In a more recent randomised controlled trial in men with early biopsy-proven prostate cancer who had chosen not to undergo any conventional treatment (thus controlling for the confounding effects of treatment interventions), the effects of a 1-year very-low-fat vegan diet and moderate intensity exercise intervention on PSA, treatment trends and serum-stimulated LNCaP growth were investigated (Ornish et al. Reference Ornish, Weidner and Fair2005). After 1 year, PSA had increased by 6 % in the controls and decreased by 4 % in the intervention group. Body weight decreased by 4·5 kg in the intervention group and was unchanged in the controls. Six of the forty-nine control patients went on to conventional treatment (due to rising PSA) compared with none of the forty-four patients in the intervention group. In the serum-stimulated LNCaP assay, cell growth was reduced by 9 % in the controls and by 70 % in the intervention group, but there was no difference between the groups in apoptosis or serum testosterone concentration. The intention is to follow the patients for a longer time period to establish the effect of the intervention on disease recurrence rates and mortality.

Negative energy balance interventions and insulin resistance

Exercise with or without dietary interventions that promote negative energy balance has the potential to improve insulin resistance, which could profoundly influence any beneficial changes in circulating sex steroid hormones and/or IGF axis proteins with respect to cancer risk. Insulin stimulates the hepatic production of IGF and their growth-promoting effects and inhibits IGFBP-1 production (Thissen et al. Reference Thissen, Ketelslegers and Underwood1994; Yu & Rohan, Reference Yu and Rohan2000). By inhibiting IGFBP production, insulin may further increase IGF-1 bioavailability. The regulatory effect of insulin and IGF-1 on SHBG production and sex hormone bioavailability could also have important implications for the development of hormone-related cancers. Insulin and IGF-1 suppress hepatic production of SHBG, resulting in more free testosterone and oestradiol to stimulate cell growth (Plymate et al. Reference Plymate, Matej, Jones and Friedl1988; Singh et al. Reference Singh, Hamilton-Fairley, Koistinen, Seppala, James, Franks and Reed1990; Pasquali et al. Reference Pasquali, Casimirri, de Iasio, Mesini, Boschi, Chierici, Flamia, Biscotti and Vicennati1995). Insulin is also a potent mitogen for various cell lines, mediating glucose transport across the cell membrane to provide an energy source and directly activating cellular RNA and protein production via the mitogen-activating protein kinase pathway (King & Kahn, Reference King and Kahn1981). Insulin has been shown to induce mitogenic effects on normal and malignant breast epithelial cells (Belfiore et al. Reference Belfiore, Frittitta, Costantino, Frasca, Pandini, Sciacca, Goldfine and Vigneri1996; Papa & Belfiore, Reference Papa and Belfiore1996) and prostate cancer cells (Polychronakos et al. Reference Polychronakos, Janthly, Lehoux and Koutsilieris1991) in vitro and elevated circulating insulin is reported to be a risk factor for breast cancer (Bruning et al. Reference Bruning, Bonfrer, van Noord, Hart, de Jong-Bakker and Nooijen1992; Hirose et al. Reference Hirose, Toyama, Iwata, Takezaki, Hamajima and Tajima2003) and prostate cancer (Hsing et al. Reference Hsing, Chua, Gao, Gentzschein, Chang, Deng and Stanczyk2001, Reference Hsing, Gao, Chua, Deng and Stanczyk2003). In addition, high fasting insulin levels have been associated with distant recurrence and death in breast cancer survivors (Goodwin et al. Reference Goodwin, Ennis, Pritchard, Trudeau, Koo, Madarnas, Hartwick, Hoffman and Hood2002b) and visceral fat area and high visceral fat:subcutaneous fat ratio (as quantified by computer tomography) was shown to be associated with a greater than four-fold increased risk of prostate cancer (von Hafe et al. Reference von Hafe, Pina, Perez, Tavares and Barros2004).

Lower BMI, higher levels of physical activity and lower energy intake were all independently associated with lower fasting insulin levels in a recent large-scale study of mostly healthy postmenopausal women (Chlebowski et al. Reference Chlebowski, Pettinger, Stefanick, Howard, Mossavar-Rahmani and McTiernan2004). Dietary-induced weight loss improves insulin sensitivity in obese men (Ross et al. Reference Ross, Dagnone, Jones, Smith, Paddags, Hudson and Janssen2000). However, regular exercise without dietary energy restriction has also been shown to improve insulin sensitivity (Ross et al. Reference Ross, Dagnone, Jones, Smith, Paddags, Hudson and Janssen2000, Reference Ross, Janssen, Dawson, Kungl, Kuk, Wong, Nguyen-Duy, Lee, Kilpatrick and Hudson2004). Improvements in insulin sensitivity following negative energy balance interventions may be mediated by weight loss (Niskanen et al. Reference Niskanen, Uusitupa, Sarlund, Siitonen, Paljarvi and Laakso1996; Goodpaster et al. Reference Goodpaster, Kelley, Wing, Meier and Thaete1999), although improved insulin sensitivity has not been accompanied by weight loss in all exercise intervention studies (Duncan et al. Reference Duncan, Perri, Theriaque, Hutson, Eckel and Stacpoole2003). Furthermore, changes in fasting serum insulin levels have been observed after only 2–3 weeks of diet and exercise interventions, even though the individuals remained obese (BMI>30 kg/m2) (Barnard et al. Reference Barnard, Ugianskis, Martin and Inkeles1992; Tymchuk et al. Reference Tymchuk, Tessler, Aronson and Barnard1998; Ngo et al. Reference Ngo, Barnard, Tymchuk, Cohen and Aronson2002).

Exercise-induced effects on insulin sensitivity that are attributable to weight loss might be associated with the effects of negative energy balance on visceral fat stores. Evidence suggests that weight loss from energy restriction alone causes diffuse fat and lean tissue mass reductions, sometimes with minimal effects on visceral fat (Wood, Reference Wood1993) which is the most metabolically active fat depot (Krotkiewski et al. Reference Krotkiewski, Bjorntorp, Sjostrom and Smith1983). However, aerobic exercise preferentially causes reduction in visceral fat in men (Schwartz et al. Reference Schwartz, Shuman, Larson, Cain, Fellingham, Beard, Kahn, Stratton, Cerqueira and Abrass1991) and women (McTiernan et al. Reference McTiernan, Ulrich, Slate and Potter1998b) and a 1–2 kg reduction in visceral fat can have profound effects on glucose tolerance, fasting insulin and blood lipid levels (Krotkiewski et al. Reference Krotkiewski, Bjorntorp, Sjostrom and Smith1983). In postmenopausal women and middle-aged men, interventions comprising low-fat, high-carbohydrate diets in conjunction with moderate-intensity exercise training that resulted in a decrease in fasting insulin concentration, were accompanied by an increase in circulating SHBG (Tymchuk et al. Reference Tymchuk, Tessler, Aronson and Barnard1998, Reference Tymchuk, Tessler and Barnard2000). However, in postmenopausal breast cancer survivors, positive changes in circulating IGF axis proteins (including IGF-1 and IGFBP-3) after 15 weeks of moderate-intensity aerobic exercise training were independent of changes in fasting insulin or insulin resistance (Fairey et al. Reference Fairey, Courneya, Field, Bell, Jones and Mackey2003).

Other potential benefits of negative energy balance interventions in cancer survivors

Continued advances in early-detection and effective treatments have resulted in the hope of longer survival and even cure for many cancer patients. Despite an increase in UK cancer incidence in the 10-year period between 1994 and 2003, overall mortality from cancer decreased (Cancer Research UK, 2005b). Furthermore, survival data for cancer diagnosis during the period 1996–9 in the UK (Cancer Research UK, 2005c) showed that both breast and prostate cancer fell into the highest 5-year survival category (77 % for breast cancer; 65 % for prostate cancer). With the increasing ageing population, the number of elderly cancer survivors is expected to double over the next 50 years (Demark-Wahnefried et al. Reference Demark-Wahnefried, Clipp, Morey, Pieper, Sloane, Snyder and Cohen2004), which means that disease recurrence and the risk of secondary primary cancers is becoming an important issue in the management of cancer patients.

Given the increase in life expectancy following a cancer diagnosis, promotion of healthy lifestyle behaviours among survivors might help them to enjoy a higher level of physical functioning, improved cardiovascular health and better health-related quality of life. Older individuals diagnosed with cancer are at increased risk of other cancers and chronic age-related conditions and are susceptible to functional losses that can threaten independent living (Aziz, Reference Aziz2002; Hewitt et al. Reference Hewitt, Rowland and Yancik2003). It has been argued that physical activity, diet and/or weight-control interventions hold considerable promise for ameliorating the adverse sequelae of cancer (Aziz, Reference Aziz2002). Studies have shown that participation in regular physical activity and the consumption of healthy low-fat diets during and/or after treatment are associated with higher levels of physical functioning, reduced feelings of fatigue and improved health-related quality of life among breast and prostate cancer survivors (Demark-Wahnefried et al. Reference Demark-Wahnefried, Clipp, Morey, Pieper, Sloane, Snyder and Cohen2004; Knols et al. Reference Knols, Aaronson, Uebelhart, Fransen and Aufdemkampe2005; Schmitz et al. Reference Schmitz, Holtzman, Courneya, Masse, Duval and Kane2005b). Nevertheless, the specific beneficial effects of exercise may vary as a function of disease stage, treatment approach and current lifestyle of the patient (Knols et al. Reference Knols, Aaronson, Uebelhart, Fransen and Aufdemkampe2005) and the full range of positive effects resulting from physical activity is as yet unknown (Schmitz et al. Reference Schmitz, Holtzman, Courneya, Masse, Duval and Kane2005b). In addition, the methodological quality of most studies has been moderate, highlighting the need for more robustly designed randomised controlled trials with larger populations of cancer survivors (Aziz, Reference Aziz2002; Knols et al. Reference Knols, Aaronson, Uebelhart, Fransen and Aufdemkampe2005).

The beneficial effects of physical activity might also extend to anti-tumour defences in cancer patients, which could reduce the risk of disease recurrence and second cancers (Aziz, Reference Aziz2002). Chemotherapy following a cancer diagnosis suppresses immune function, including a reduction in circulating T-helper (CD4+) cells and an impairment of natural killer (NK) cell function (Head et al. Reference Head, Elliott and McCoy1993; Sewell et al. Reference Sewell, Halbert, Robins, Galvin, Chan and Blamey1993; Hakim et al. Reference Hakim, Cepeda, Kaimei, Mackall, McAtee, Zujewski, Cowan and Gress1997). In addition to the effects of treatment per se, the physiological effects of stress associated with a cancer diagnosis might further inhibit cellular immune responses that are relevant to cancer prognosis, including NK cell toxicity and T-cell responses (Andersen et al. Reference Andersen, Farrar, Golden-Kreutz, Kutz, MacCallum, Courtney and Glaser1998). The adverse effect of psychosocial stressors on immune function is considered to be mediated by excess secretion of the stress hormone cortisol and the catecholamines (McEwen & Stellar, Reference McEwen and Stellar1993; Madden & Felten, Reference Madden and Felten1995). Elevated cortisol and catecholamine levels evoked by psychological stressors can significantly influence immune function, including lymphocyte proliferation and NK cell activity (Banu et al. Reference Banu, Vaidya and Udupa1988; Benschop et al. Reference Benschop, Nieuwenhuis, Tromp, Godaert, Ballieux and van Doornen1994; Bryla, Reference Bryla1996; Kronfol et al. Reference Kronfol, Nair, Zhang, Hill and Brown1997). Self-reported negative mood states have been associated with lower NK cell activity (Levy & Herberman, Reference Levy and Herberman1985; Levy et al. Reference Levy, Herberman, Lippman, D'Angelo and Lee1991) and symptoms of depression have been linked with increased salivary cortisol (Ehlert et al. Reference Ehlert, Patalla, Kirschbaum, Piedmont and Hellhammer1990), impaired lymphocyte proliferation (Schleifer et al. Reference Schleifer, Keller, Meyerson, Raskin, Davis and Stein1984; Maes, Reference Maes1995) and reduced NK cell cytotoxicity against tumour cells (Nerozzi et al. Reference Nerozzi, Santoni, Bersani, Magnani, Bressan, Pasini, Antonozzi and Frajese1989; Caldwell et al. Reference Caldwell, Irwin and Lohr1991; Maes et al. Reference Maes, Stevens, Peeters, DeClerck, Scharpe, Bridts, Schotte and Cosyns1992). Studies have reported abnormal circadian rhythmicity of cortisol in breast cancer patients (Touitou et al. Reference Touitou, Bogdan, Levi, Benavides and Auzeby1996; van der Pompe et al. Reference van der Pompe, Antoni and Heijnen1996; Sephton et al. Reference Sephton, Sapolsky, Kraemer and Spiegel2000; Abercrombie et al. Reference Abercrombie, Giese-Davis, Sephton, Epel, Turner-Cobb and Spiegel2004) and flattened or abnormal diurnal salivary cortisol rhythms have recently been associated with earlier mortality in breast cancer patients (Sephton et al. Reference Sephton, Sapolsky, Kraemer and Spiegel2000) and persistent fatigue in survivors 1–5 years after initial diagnosis (Bower et al. Reference Bower, Ganz, Dickerson, Petersen, Aziz and Fahey2005).

Regular physical activity can have a positive effect on psychological health status and quality of life in cancer survivors (Baldwin & Courneya, Reference Baldwin and Courneya1997; Courneya & Friedenreich, Reference Courneya and Friedenreich1997) that could enhance immune function through normalisation of stress hormone levels. Alternatively, changes in circulating sex hormone levels might influence the functioning of immune cells in peripheral blood. Sex hormones have been reported to exert immunoregulatory effects both in vivo and in vitro (Paavonen, Reference Paavonen1994), with evidence of suppressive effects for progesterone and the androgens, whereas oestrogens can be suppressive or stimulatory depending on the situation (van Vollenhoven & McGuire, Reference van Vollenhoven and McGuire1994). Peters et al. (Reference Peters, Lotzerich, Niemeier, Schule and Uhlenbruck1994; Reference Peters, Lotzerich, Niemeir, Schule and Uhlenbruck1995) reported an increase in the percentage of NK cells and an improvement in NK cell function and monocyte phagocytic capacity in breast cancer survivors that was accompanied by an increase in ‘satisfaction of life’ score after 7 months of moderate exercise training. Two recent studies have consolidated this finding with reports of improved immune function in postmenopausal women treated for breast cancer following a period of aerobic exercise or combined aerobic exercise and resistance training lasting for 4–6 months (Fairey et al. Reference Fairey, Courneya, Field, Bell, Jones and Mackey2005; Hutnick et al. Reference Hutnick, Williams, Kraemer, Orsega-Smith, Dixon, Bleznak and Mastro2005). An increase in T-helper cell activation was observed in patients randomised to an exercise group after receiving chemotherapy in comparison with control non-exercising patients who had received chemotherapy (Hutnick et al. Reference Hutnick, Williams, Kraemer, Orsega-Smith, Dixon, Bleznak and Mastro2005). In the other study, an improvement in NK cell cytotoxic activity and in unstimulated lymphocyte proliferation was observed in breast cancer patients randomised to aerobic exercise training following surgery, radiotherapy and/or chemotherapy with or without hormone therapy, in comparison with non-exercising control patients (Fairey et al. Reference Fairey, Courneya, Field, Bell, Jones and Mackey2005). Although the underlying mechanisms for exercise-induced improvements in immune function are poorly understood, further studies are warranted, as lifestyle interventions which could have an impact on anti-tumour defences could have a significant influence on disease-free survival in cancer survivors.

Summary and conclusions

Obesity, physical activity status and circulating levels of sex steroid hormones and IGF axis proteins are intrinsically linked to energy balance. Epidemiological studies have reported a positive association between obesity and breast cancer risk for postmenopausal women, but with the role of central adiposity being more equivocal. However, recent evidence suggests that increased central adiposity is strongly associated with the risk of prostate cancer. In addition, obesity is associated with poorer prognosis following a breast or prostate cancer diagnosis. Evidence for a protective effect of increased physical activity levels on hormone-related cancer risk appears to be stronger for breast cancer than prostate cancer at the present time, with recent data also showing that physically active breast cancer survivors have an improved chance of longer-term survival. The link between physical activity status and disease-free survival has not yet been studied in prostate cancer patients, although one study (Ornish et al. Reference Ornish, Weidner and Fair2005) reported positive results in prostate cancer patients undergoing a combined exercise and low-fat diet intervention. A stronger association between circulating oestrogen levels and breast cancer risk has been reported for postmenopausal than premenopausal women and is linked to an increased aromatase activity in heavier postmenopausal women. Higher circulating testosterone is associated with an increased risk of prostate cancer and the role of oestrogen metabolism in the development of this disease warrants further study. Higher circulating IGF-1 is also associated with an increased risk of developing prostate cancer and breast cancer in premenopausal but not postmenopausal women, whereas a high circulating level of IGFBP-3 is associated with an elevated risk of premenopausal breast cancer.

An increasing number of intervention studies in ‘at-risk’ individuals and in patients recovering from cancer treatment are now investigating the effects of lifestyle interventions that promote negative energy balance on circulating levels of sex hormones and IGF axis proteins as surrogate markers of cancer risk. In relation to such lifestyle interventions, the most consistent evidence for a sex steroid hormone-lowering effect exists for oestrogen following restricted dietary fat consumption with or without regular exercise. For circulating proteins of the IGF-axis, evidence derived predominantly from middle-aged ‘at-risk’ men suggests that combining very-low-fat diets ( ≤ 10 % of total energy) with regular physical activity can induce significant changes in IGF-1 and IGFBP-1 that could protect against the development or progression of prostate cancer. One recent randomised controlled trial also reported positive results in breast cancer survivors (Fairey et al. Reference Fairey, Courneya, Field, Bell, Jones and Mackey2003). Recent evidence also suggests that lifestyle interventions associated with negative energy balance can lead to improvements in physical function and reduced feelings of fatigue, improved anti-tumour defences and an enhancement of health-related quality of life in cancer survivors. Nevertheless, the methodological quality of most intervention studies has been limited due to small subject numbers, lack of adequate control groups or non-randomised designs and a number of significant questions remain. For example, it is not known which combination of specific dietary and physical activity interventions work best for reducing the risk of hormone-related cancers in younger and older obese and non-obese populations, nor whether it is possible to get similar protective effects from dietary energy restriction and physical activity alone in these populations. Second, the optimal dose–response relationship for reducing cancer risk by dietary energy restriction and/or physical activity interventions in these different groups is unknown. Most intervention studies investigating the combined effect of diet and exercise have involved the consumption of very-low-fat-diets ( ≤ 10 % of total energy) and the effect of less intensive reductions of dietary fat and energy intake, with and without simultaneous exercise participation is currently unknown. Third, more studies investigating the association between lifestyle interventions that promote negative energy balance and disease recurrence and/or secondary primary tumours in cancer survivors are needed following promising results from very recent trials. Fourth, the predictive validity of some of the circulating biomarkers being used to assess the risk of hormone-related cancers requires further investigation. Improved knowledge about the degree to which changes in a given surrogate end-point reflects changes in clinically meaningful end-points, such as cancer diagnosis or disease-free survival, is urgently needed. More intervention studies with randomised controlled designs, higher subject numbers and longer-term follow-up measures in ‘at-risk’ populations and survivors are necessary to answer these questions and to establish the magnitude of change required in surrogate markers to induce a protective effect.

References

Abercrombie, HC, Giese-Davis, J, Sephton, S, Epel, ES, Turner-Cobb, JM & Spiegel, D (2004) Flattened cortisol rhythms in metastatic breast cancer patients. Psychoneuroendocrinology 29, 10821092CrossRefGoogle ScholarPubMed
Adlercreutz, H, Fotsis, T, Bannwart, C, Wahala, K, Makela, T, Brunow, G & Hase, T (1986) Determination of urinary lignans and phytoestrogen metabolites, potential antiestrogens and anticarcinogens, in urine of women on various habitual diets. Journal of Steroid Biochemistry 25, 791797CrossRefGoogle ScholarPubMed
Allen, NE, Appleby, PN, Kaaks, R, Rinaldi, S, Davey, GK & Key, TJ (2003) Lifestyle determinants of serum insulin-like growth-factor-I (IGF-I), C-peptide and hormone binding protein levels in British women. Cancer Causes and Control 14, 6574CrossRefGoogle ScholarPubMed
Andersen, BL, Farrar, WB, Golden-Kreutz, D, Kutz, LA, MacCallum, R, Courtney, ME & Glaser, R (1998) Stress and immune responses after surgical treatment for regional breast cancer. Journal of the National Cancer Institute 90, 3036CrossRefGoogle ScholarPubMed
Angelloz-Nicoud, P & Binoux, M (1995) Autocrine regulation of cell proliferation by the insulin-like growth factor (IGF) and IGF binding protein-3 protease system in a human prostate carcinoma cell line (PC-3). Endocrinology 136, 54855492CrossRefGoogle Scholar
Atkinson, C, Lampe, JW, Tworoger, SS, et al. . (2004) Effects of a moderate intensity exercise intervention on estrogen metabolism in postmenopausal women. Cancer Epidemiology Biomarkers and Prevention 13, 868874CrossRefGoogle ScholarPubMed
Aziz, NM (2002) Cancer survivorship research: challenge and opportunity. Journal of Nutrition 132, 3494S3503SCrossRefGoogle ScholarPubMed
Bagga, D, Ashley, JM, Geffrey, SP, Wang, HJ, Barnard, RJ, Korenman, S & Heber, D (1995) Effects of a very low fat, high fiber diet on serum hormones and menstrual function. Implications for breast cancer prevention. Cancer 76, 249124963.0.CO;2-R>CrossRefGoogle ScholarPubMed
Baldwin, MK & Courneya, KS (1997) Exercise and self-esteem in breast cancer survivors: an application of the exercise and self-esteem model. Journal of Sport and Exercise Psychology 19, 347359CrossRefGoogle Scholar
Banu, N, Vaidya, MP & Udupa, KN (1988) Alterations in circulating neurotransmitters & cortisol with severity of breast cancer. Indian Journal of Medical Research 87, 479483Google ScholarPubMed
Barnard, RJ & Aronson, WJ (2005) Preclinical models relevant to diet, exercise, and cancer risk. Recent Results in Cancer Research 166, 4761CrossRefGoogle ScholarPubMed
Barnard, RJ, Aronson, WJ, Tymchuk, CN & Ngo, TH (2002) Prostate cancer: another aspect of the insulin-resistance syndrome? Obesity Reviews 3, 303308CrossRefGoogle ScholarPubMed
Barnard, RJ, Ngo, TH, Leung, PS, Aronson, WJ & Golding, LA (2003) A low-fat diet and/or strenuous exercise alters the IGF axis in vivo and reduces prostate tumor cell growth in vitro. Prostate 56, 201206CrossRefGoogle ScholarPubMed
Barnard, RJ, Ugianskis, EJ, Martin, DA & Inkeles, SB (1992) Role of diet and exercise in the management of hyperinsulinemia and associated atherosclerotic risk factors. American Journal of Cardiology 69, 440444CrossRefGoogle ScholarPubMed
Bassett, WW, Cooperberg, MR, Sadetsky, N, Silva, S, DuChane, J, Pasta, DJ, Chan, JM, Anast, JW, Carroll, PR & Kane, CJ (2005) Impact of obesity on prostate cancer recurrence after radical prostatectomy: data from CaPSURE. Urology 66, 10601065CrossRefGoogle ScholarPubMed
Baxter, RC (2000) Insulin-like growth factor (IGF)-binding proteins: interactions with IGFs and intrinsic bioactivities. American Journal of Physiology 278, E967E976Google ScholarPubMed
Belfiore, A, Frittitta, L, Costantino, A, Frasca, F, Pandini, G, Sciacca, L, Goldfine, ID & Vigneri, R (1996) Insulin receptors in breast cancer. Annals of the New York Academy of Sciences 784, 173188CrossRefGoogle ScholarPubMed
Benschop, RJ, Nieuwenhuis, EE, Tromp, EA, Godaert, GL, Ballieux, RE & van Doornen, LJ (1994) Effects of beta-adrenergic blockade on immunologic and cardiovascular changes induced by mental stress. Circulation 89, 762769CrossRefGoogle ScholarPubMed
Bernstein, L, Ross, RK, Lobo, RA, Hanisch, R, Krailo, MD & Henderson, BE (1987) The effects of moderate physical activity on menstrual cycle patterns in adolescence: implications for breast cancer prevention. British Journal of Cancer 55, 681685CrossRefGoogle ScholarPubMed
Borst, SE, Vincent, KR, Lowenthal, DT & Braith, RW (2002) Effects of resistance training on insulin-like growth factor and its binding proteins in men and women aged 60 to 85. Journal of the American Geriatrics Society 50, 884888CrossRefGoogle ScholarPubMed
Bower, JE, Ganz, PA, Dickerson, SS, Petersen, L, Aziz, N & Fahey, JL (2005) Diurnal cortisol rhythm and fatigue in breast cancer survivors. Psychoneuroendocrinology 30, 92100CrossRefGoogle ScholarPubMed
Boyar, AP, Rose, DP, Loughridge, JR, Engle, A, Palgi, A, Laakso, K, Kinne, D & Wynder, EL (1988) Response to a diet low in total fat in women with postmenopausal breast cancer: a pilot study. Nutrition and Cancer 11, 9399CrossRefGoogle ScholarPubMed
Bruning, PF, Bonfrer, JM, van Noord, PA, Hart, AA, de Jong-Bakker, M & Nooijen, WJ (1992) Insulin resistance and breast-cancer risk. International Journal of Cancer 52, 511516CrossRefGoogle ScholarPubMed
Bryla, CM (1996) The relationship between stress and the development of breast cancer: a literature review. Oncology Nursing Forum 23, 441448Google ScholarPubMed
Bulbrook, RD, Greenwood, FC, Hadfield, GJ & Scowen, EF (1958) Oophorectomy in breast cancer; an attempt to correlate clinical results with oestrogen production. British Medical Journal 30, 711CrossRefGoogle Scholar
Butt, AJ, Fraley, KA, Firth, SM & Baxter, RC (2002) IGF-binding protein-3-induced growth inhibition and apoptosis do not require cell surface binding and nuclear translocation in human breast cancer cells. Endocrinology 143, 26932699CrossRefGoogle Scholar
Caballero, MJ, Mahedero, G, Hernandez, R, Alvarez, JL, Rodriguez, J, Rodriguez, I & Maynar, M (1996) Effects of physical exercise on some parameters of bone metabolism in postmenopausal women. Endocrine Research 22, 131138CrossRefGoogle ScholarPubMed
Caballero, MJ & Maynar, M (1992) Effects of physical exercise on sex hormone binding globulin, high density lipoprotein cholesterol, total cholesterol and triglycerides in postmenopausal women. Endocrine Research 18, 261279CrossRefGoogle ScholarPubMed
Caldwell, CL, Irwin, M & Lohr, J (1991) Reduced natural killer cell cytotoxicity in depression but not in schizophrenia. Biological Psychiatry 30, 11311138CrossRefGoogle ScholarPubMed
Campbell, KL, Westerlind, KC, Harber, VJ, Friedenreich, CM & Courneya, KS (2005) Associations between aerobic fitness and estrogen metabolites in premenopausal women. Medicine and Science in Sports and Exercise 37, 585592CrossRefGoogle ScholarPubMed
Cancer Research UK (2005a) CancerStats Incidence-UK. info. cancerresearchuk.org/cancerstats/typesGoogle Scholar
Cancer Research UK (2005b) CancerStats Mortality-UK. info. cancerresearchuk.org: 8000/cancerstats/mortalityGoogle Scholar
Cancer Research UK (2005c) Survival statistics for the most common cancers: patients diagnosed 1996–1999. info. cancerresearchuk.org: 8000/cancerstats/survivalGoogle Scholar
Chan, JM, Stampfer, MJ, Ma, J, Gann, PH, Gaziano, JM & Giovannucci, EL (2001) Dairy products, calcium, and prostate cancer risk in the Physicians' Health Study. American Journal of Clinical Nutrition 74, 549554CrossRefGoogle ScholarPubMed
Chlebowski, RT, Blackburn, GL, Elashoff, RE, Thomson, C, Goodman, MT, Shapiro, A, Giuliano, AE, Karanja, N, Hoy, MK & Nixon, DW (2005) Dietary fat reduction in postmenopausal women with primary breast cancer: phase III Women's Intervention Nutrition Study (WINS). American Society of Clinical Oncology Annual Meeting, 2005. Journal of Clinical Oncology 23, 10 Abstr.CrossRefGoogle Scholar
Chlebowski, RT, Pettinger, M, Stefanick, ML, Howard, BV, Mossavar-Rahmani, Y & McTiernan, A (2004) Insulin, physical activity, and caloric intake in postmenopausal women: breast cancer implications. Journal of Clinical Oncology 22, 45074513CrossRefGoogle ScholarPubMed
Chokkalingam, AP, Pollak, M, Fillmore, CM, et al. . (2001) Insulin-like growth factors and prostate cancer: a population-based case-control study in China. Cancer Epidemiology Biomarkers and Prevention 10, 421427Google ScholarPubMed
Cohen, P, Peehl, DM, Lamson, G & Rosenfeld, RG (1991) Insulin-like growth factors (IGFs), IGF receptors, and IGF-binding proteins in primary cultures of prostate epithelial cells. Journal of Clinical Endocrinolgy and Metabolism 73, 401407CrossRefGoogle ScholarPubMed
Cooper, GS, Sandler, DP, Whelan, EA & Smith, KR (1996) Association of physical and behavioral characteristics with menstrual cycle patterns in women age 29-31 years. Epidemiology 7, 624628CrossRefGoogle ScholarPubMed
Courneya, KS & Friedenreich, CM (1997) Relationship between exercise during treatment and current quality of life among survivors of breast cancer. Journal of Psychosocial Oncology 15, 3557CrossRefGoogle Scholar
Crave, JC, Fimbel, S, Lejeune, H, Cugnardey, N, Dechaud, H & Pugeat, M (1995) Effects of diet and metformin administration on sex hormone-binding globulin, androgens, and insulin in hirsute and obese women. Journal of Clinical Endocrinology and Metabolism 80, 20572062Google ScholarPubMed
Daniell, HW (1993) Larger prostatic adenomas in obese men with no associated increase in obstructive uropathy. Journal of Urology 149, 315317CrossRefGoogle ScholarPubMed
Demark-Wahnefried, W, Clipp, EC, Morey, MC, Pieper, CF, Sloane, R, Snyder, DC & Cohen, HJ (2004) Physical function and associations with diet and exercise: results of a cross-sectional survey among elders with breast or prostate cancer. International Journal of Behavioural Nutrition and Physical Activity 1, 16Google ScholarPubMed
Dorgan, JF, Judd, JT, Longcope, C, et al. . (1996a) Effects of dietary fat and fiber on plasma and urine androgens and estrogens in men: a controlled feeding study. American Journal of Clinical Nutrition 64, 850855CrossRefGoogle Scholar
Dorgan, JF, Longcope, C, Stephenson, HE Jr, Falk, RT, Miller, R, Franz, C, Kahle, L, Campbell, WS, Tangrea, JA & Schatzkin, A (1996b) Relation of prediagnostic serum estrogen and androgen levels to breast cancer risk. Cancer Epidemiology Biomarkers and Prevention 5, 533539Google ScholarPubMed
Duncan, GE, Perri, MG, Theriaque, DW, Hutson, AD, Eckel, RH & Stacpoole, PW (2003) Exercise training, without weight loss, increases insulin sensitivity and postheparin plasma lipase activity in previously sedentary adults. Diabetes Care 26, 557562CrossRefGoogle ScholarPubMed
Early Breast Cancer Trialists' Collaborative Group (1998) Tamoxifen for early breast cancer: an overview of the randomised trials. Early Breast Cancer Trialists' Collaborative Group. Lancet 351, 14511467CrossRefGoogle Scholar
Ehlert, U, Patalla, U, Kirschbaum, C, Piedmont, E & Hellhammer, DH (1990) Postpartum blues: salivary cortisol and psychological factors. Journal of Psychosomatic Research 34, 319325CrossRefGoogle ScholarPubMed
Enger, SM, Ross, RK, Paganini-Hill, A, Carpenter, CL & Bernstein, L (2000) Body size, physical activity, and breast cancer hormone receptor status: results from two case-control studies. Cancer Epidemiology Biomarkers and Prevention 9, 681687Google ScholarPubMed
Evenson, KR, Stevens, J, Cai, J, Thomas, R & Thomas, O (2003) The effect of cardiorespiratory fitness and obesity on cancer mortality in women and men. Medicine and Science in Sports and Exercise 35, 270277CrossRefGoogle ScholarPubMed
Fairey, AS, Courneya, KS, Field, CJ, Bell, GJ, Jones, LW & Mackey, JR (2003) Effects of exercise training on fasting insulin, insulin resistance, insulin-like growth factors, and insulin-like growth factor binding proteins in postmenopausal breast cancer survivors: a randomized controlled trial. Cancer Epidemiology Biomarkers and Prevention 12, 721727Google ScholarPubMed
Fairey, AS, Courneya, KS, Field, CJ, Bell, GJ, Jones, LW & Mackey, JR (2005) Randomized controlled trial of exercise and blood immune function in postmenopausal breast cancer survivors. Journal of Applied Physiology 98, 15341540CrossRefGoogle ScholarPubMed
Ferry, RJ Jr, Katz, LE, Grimberg, A, Cohen, P & Weinzimer, SA (1999) Cellular actions of insulin-like growth factor binding proteins. Hormone and Metabolic Research 31, 192202CrossRefGoogle ScholarPubMed
Field, AE, Colditz, GA, Willett, WC, Longcope, C & McKinlay, JB (1994) The relation of smoking, age, relative weight, and dietary intake to serum adrenal steroids, sex hormones, and sex hormone-binding globulin in middle-aged men. Journal of Clinical Endocrinology and Metabolism 79, 13101316Google ScholarPubMed
Figueroa, JA, Lee, AV, Jackson, JG & Yee, D (1995) Proliferation of cultured human prostate cancer cells is inhibited by insulin-like growth factor (IGF) binding protein-1: evidence for an IGF-II autocrine growth loop. Journal of Clinical Endocrinology and Metabolism 80, 34763482CrossRefGoogle ScholarPubMed
Foulstone, E, Prince, S, Zaccheo, O, Burns, JL, Harper, J, Jacobs, C, Church, D & Hassan, AB (2005) Insulin-like growth factor ligands, receptors, and binding proteins in cancer. Journal of Pathology 205, 145153CrossRefGoogle ScholarPubMed
Franks, S, Kiddy, DS, Hamilton-Fairley, D, Bush, A, Sharp, PS & Reed, MJ (1991) The role of nutrition and insulin in the regulation of sex hormone binding globulin. Journal of Steroid Biochemistry and Molecular Biology 39, 835838CrossRefGoogle ScholarPubMed
Freedland, SJ & Aronson, WJ (2005) Obesity and prostate cancer. Urology 65, 433439CrossRefGoogle ScholarPubMed
Freedland, SJ, Grubb, KA, Yiu, SK, Humphreys, EB, Nielsen, ME, Mangold, LA, Isaacs, WB & Partin, AW (2005) Obesity and risk of biochemical progression following radical prostatectomy at a tertiary care referral center. Journal of Urology 174, 919922CrossRefGoogle ScholarPubMed
Friedenreich, CM & Orenstein, MR (2002) Physical activity and cancer prevention: etiologic evidence and biological mechanisms. Journal of Nutrition 132, 3456S3464SCrossRefGoogle ScholarPubMed
Gammon, MD, John, EM & Britton, JA (1998) Recreational and occupational physical activities and risk of breast cancer. Journal of the National Cancer Institute 90, 100117CrossRefGoogle ScholarPubMed
Gann, PH, Hennekens, CH, Ma, J, Longcope, C & Stampfer, MJ (1996) Prospective study of sex hormone levels and risk of prostate cancer. Journal of the National Cancer Institute 88, 11181126CrossRefGoogle ScholarPubMed
Giovannucci, E, Rimm, EB, Liu, Y, Leitzmann, M, Wu, K, Stampfer, MJ & Willett, WC (2003) Body mass index and risk of prostate cancer in U.S. health professionals. Journal of the National Cancer Institute 95, 12401244CrossRefGoogle ScholarPubMed
Goldin, BR, Adlercreutz, H, Gorbach, SL, Warram, JH, Dwyer, JT, Swenson, L & Woods, MN (1982) Estrogen excretion patterns and plasma levels in vegetarian and omnivorous women. New England Journal of Medicine 307, 15421547CrossRefGoogle ScholarPubMed
Goldin, BR & Gorbach, SL (1976) The relationship between diet and rat fecal bacterial enzymes implicated in colon cancer. Journal of the National Cancer Institute 57, 371375CrossRefGoogle ScholarPubMed
Goldin, BR, Woods, MN, Spiegelman, DL, Longcope, C, Morrill-LaBrode, A, Dwyer, JT, Gualtieri, LJ, Hertzmark, E & Gorbach, SL (1994) The effect of dietary fat and fiber on serum estrogen concentrations in premenopausal women under controlled dietary conditions. Cancer 74, 112511313.0.CO;2-5>CrossRefGoogle ScholarPubMed
Goodpaster, BH, Kelley, DE, Wing, RR, Meier, A & Thaete, FL (1999) Effects of weight loss on regional fat distribution and insulin sensitivity in obesity. Diabetes 48, 839847CrossRefGoogle ScholarPubMed
Goodwin, PJ, Ennis, M, Pritchard, KI, Trudeau, ME, Koo, J, Hartwick, W, Hoffma, B & Hood, N (2002a) Insulin-like growth factor binding proteins 1 and 3 and breast cancer outcomes. Breast Cancer Research and Treatment 74, 6576CrossRefGoogle ScholarPubMed
Goodwin, PJ, Ennis, M, Pritchard, KI, Trudeau, ME, Koo, J, Madarnas, Y, Hartwick, W, Hoffman, B & Hood, N (2002b) Fasting insulin and outcome in early-stage breast cancer: results of a prospective cohort study. Journal of Clinical Oncology 20, 4251CrossRefGoogle ScholarPubMed
Haenszel, W & Kurihara, M (1968) Studies of Japanese migrants. I. Mortality from cancer and other diseases among Japanese in the United States. Journal of the National Cancer Institute 40, 4368Google ScholarPubMed
Haffner, SM, Katz, MS & Dunn, JF (1991) Increased upper body and overall adiposity is associated with decreased sex hormone binding globulin in postmenopausal women. International Journal of Obesity 15, 471478Google ScholarPubMed
Hakim, FT, Cepeda, R, Kaimei, S, Mackall, CL, McAtee, N, Zujewski, J, Cowan, K & Gress, RE (1997) Constraints on CD4 recovery postchemotherapy in adults: thymic insufficiency and apoptotic decline of expanded peripheral CD4 cells. Blood 90, 37893798CrossRefGoogle ScholarPubMed
Harvie, M, Hooper, L & Howell, AH (2003) Central obesity and breast cancer risk: a systematic review. Obesity Reviews 4, 157173CrossRefGoogle ScholarPubMed
Head, JF, Elliott, RL & McCoy, JL (1993) Evaluation of lymphocyte immunity in breast cancer patients. Breast Cancer Research and Treatment 26, 7788CrossRefGoogle ScholarPubMed
Heber, D, Ashley, JM, Leaf, DA & Barnard, RJ (1991) Reduction of serum estradiol in postmenopausal women given free access to low-fat high-carbohydrate diet. Nutrition 7, 137139Google ScholarPubMed
Hellawell, GO, Turner, GD, Davies, DR, Poulsom, R, Brewster, SF & Macaulay, VM (2002) Expression of the type 1 insulin-like growth factor receptor is up-regulated in primary prostate cancer and commonly persists in metastatic disease. Cancer Research 62, 29422950Google ScholarPubMed
Heron-Milhavet, L & LeRoith, D (2002) Insulin-like growth factor I induces MDM2-dependent degradation of p53 via the p38 MAPK pathway in response to DNA damage. Journal of Biological Chemistry 277, 1560015606CrossRefGoogle ScholarPubMed
Hewitt, M, Rowland, JH & Yancik, R (2003) Cancer survivors in the United States: age, health, and disability. Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 58, 8291CrossRefGoogle ScholarPubMed
Hirose, K, Toyama, T, Iwata, H, Takezaki, T, Hamajima, N & Tajima, K (2003) Insulin, insulin-like growth factor-I and breast cancer risk in Japanese women. Asian Pacific Journal of Cancer Prevention 4, 239246Google ScholarPubMed
Holly, J (2004) IGF-1, IGFBP-3, and cancer risk. Lancet 364, 325326CrossRefGoogle ScholarPubMed
Holmes, MD, Chen, WY, Feskanich, D, Kroenke, CH & Colditz, GA (2005) Physical activity and survival after breast cancer diagnosis. Journal of the American Medical Association 293, 24792486CrossRefGoogle ScholarPubMed
Holmes, MD & Kroenke, CH (2004) Beyond treatment: lifestyle choices after breast cancer to enhance quality of life and survival. Women's Health Issues 14, 1113CrossRefGoogle ScholarPubMed
Hsing, AW, Chua, S Jr, Gao, YT, Gentzschein, E, Chang, L, Deng, J & Stanczyk, FZ (2001) Prostate cancer risk and serum levels of insulin and leptin: a population-based study. Journal of the National Cancer Institute 93, 783789CrossRefGoogle ScholarPubMed
Hsing, AW & Comstock, GW (1993) Serological precursors of cancer: serum hormones and risk of subsequent prostate cancer. Cancer Epidemiology Biomarkers and Prevention 2, 2732Google ScholarPubMed
Hsing, AW, Gao, YT, Chua, S Jr, Deng, J & Stanczyk, FZ (2003) Insulin resistance and prostate cancer risk. Journal of the National Cancer Institute 95, 6771CrossRefGoogle ScholarPubMed
Hsing, AW, Reichardt, JK & Stanczyk, FZ (2002) Hormones and prostate cancer: current perspectives and future directions. Prostate 52, 213235CrossRefGoogle ScholarPubMed
Hutnick, NA, Williams, NI, Kraemer, WJ, Orsega-Smith, E, Dixon, RH, Bleznak, AD & Mastro, AM (2005) Exercise and lymphocyte activation following chemotherapy for breast cancer. Medicine and Science in Sports and Exercise 37, 18271835CrossRefGoogle ScholarPubMed
Janssen, JA, Wildhagen, MF, Ito, K, Blijenberg, BG, Van Schaik, RH, Roobol, MJ, Pols, HA, Lamberts, SW & Schroder, FH (2004) Circulating free insulin-like growth factor (IGF)-I, total IGF-I, and IGF binding protein-3 levels do not predict the future risk to develop prostate cancer: results of a case-control study involving 201 patients within a population-based screening with a 4-year interval. Journal of Clinical Endocrinology and Metabolism 89, 43914396CrossRefGoogle ScholarPubMed
Kaaks, R & Lukanova, A (2001) Energy balance and cancer: the role of insulin and insulin-like growth factor-I. Proceedings of the Nutrition Society 60, 91106CrossRefGoogle ScholarPubMed
Kampert, JB, Blair, SN, Barlow, CE & Kohl, HW III (1996) Physical activity, physical fitness, and all-cause and cancer mortality: a prospective study of men and women. Annals of Epidemiology 6, 452457CrossRefGoogle ScholarPubMed
Kanety, H, Madjar, Y, Dagan, Y, Levi, J, Papa, MZ, Pariente, C, Goldwasser, B & Karasik, A (1993) Serum insulin-like growth factor-binding protein-2 (IGFBP-2) is increased and IGFBP-3 is decreased in patients with prostate cancer: correlation with serum prostate-specific antigen. Journal of Clinical Endocrinology and Metabolism 77, 229233Google ScholarPubMed
Kelsey, JL (1979) A review of the epidemiology of human breast cancer. Epidemiologic Reviews 1, 74109CrossRefGoogle ScholarPubMed
Key, T, Appleby, P, Barnes, I & Reeves, G (2002) Endogenous sex hormones and breast cancer in postmenopausal women: reanalysis of nine prospective studies. Journal of the National Cancer Institute 94, 606616Google ScholarPubMed
Key, TJ (1999) Serum oestradiol and breast cancer risk. Endocrine-Related Cancer 6, 175180CrossRefGoogle ScholarPubMed
Key, TJ, Schatzkin, A, Willett, WC, Allen, NE, Spencer, EA & Travis, RC (2004) Diet, nutrition and the prevention of cancer. Public Health Nutrition 7, 187200CrossRefGoogle ScholarPubMed
Khandwala, HM, McCutcheon, IE, Flyvbjerg, A & Friend, KE (2000) The effects of insulin-like growth factors on tumorigenesis and neoplastic growth. Endocrine Reviews 21, 215244CrossRefGoogle ScholarPubMed
King, GL & Kahn, CR (1981) Non-parallel evolution of metabolic and growth-promoting functions of insulin. Nature 292, 644646CrossRefGoogle ScholarPubMed
Kley, HK, Deselaers, T, Peerenboom, H & Kruskemper, HL (1980) Enhanced conversion of androstenedione to estrogens in obese males. Journal of Clinical Endocrinology and Metabolism 51, 11281132CrossRefGoogle ScholarPubMed
Knols, R, Aaronson, NK, Uebelhart, D, Fransen, J & Aufdemkampe, G (2005) Physical exercise in cancer patients during and after medical treatment: a systematic review of randomized and controlled clinical trials. Journal of Clinical Oncology 23, 38303842CrossRefGoogle ScholarPubMed
Kotsopoulos, J, Olopado, OI, Ghadirian, P, et al. . (2005) Changes in body weight and the risk of breast cancer in BRCA1 and BRCA2 mutation carriers. Breast Cancer Research 7, R833R843CrossRefGoogle ScholarPubMed
Kroenke, CH, Chen, WY, Rosner, B & Holmes, MD (2005) Weight, weight gain, and survival after breast cancer diagnosis. Journal of Clinical Oncology 23, 13701378CrossRefGoogle ScholarPubMed
Kronfol, Z, Nair, M, Zhang, Q, Hill, EE & Brown, MB (1997) Circadian immune measures in healthy volunteers: relationship to hypothalamic-pituitary-adrenal axis hormones and sympathetic neurotransmitters. Psychosomatic Medicine 59, 4250CrossRefGoogle ScholarPubMed
Krotkiewski, M, Bjorntorp, P, Sjostrom, L & Smith, U (1983) Impact of obesity on metabolism in men and women. Importance of regional adipose tissue distribution. Journal of Clinical Investigation 72, 11501162CrossRefGoogle ScholarPubMed
Lange, KH, Lorentsen, J, Isaksson, F, Juul, A, Rasmussen, MH, Christensen, NJ, Bulow, J & Kjaer, M (2001) Endurance training and GH administration in elderly women: effects on abdominal adipose tissue lipolysis. American Journal of Physiology 280, E886E897Google ScholarPubMed
LeRoith, D & Roberts, CT Jr (2003) The insulin-like growth factor system and cancer. Cancer Letters 195, 127137CrossRefGoogle ScholarPubMed
Levy, S & Herberman, R (1985) Prognostic risk assessment in primary breast cancer by behavioural and immunological parameters. Health Psychology 4, 99113CrossRefGoogle ScholarPubMed
Levy, SM, Herberman, RB, Lippman, M, D'Angelo, T & Lee, J (1991) Immunological and psychosocial predictors of disease recurrence in patients with early-stage breast cancer. Behavioural Medicine 17, 6775CrossRefGoogle ScholarPubMed
Lichtenstein, P, Holm, NV, Verkasalo, PK, Iliadou, A, Kaprio, J, Koskenvuo, M, Pukkala, E, Skytthe, A & Hemminki, K (2000) Environmental and heritable factors in the causation of cancer – analyses of cohorts of twins from Sweden, Denmark, and Finland. New England Journal of Medicine 343, 7885CrossRefGoogle ScholarPubMed
Lissner, L, Levitsky, DA, Strupp, BJ, Kalkwarf, HJ & Roe, DA (1987) Dietary fat and the regulation of energy intake in human subjects. American Journal of Clinical Nutrition 46, 886892CrossRefGoogle ScholarPubMed
Longcope, C, Gorbach, S, Goldin, B, Woods, M, Dwyer, J, Morrill, A & Warram, J (1987) The effect of a low fat diet on estrogen metabolism. Journal of Clinical Endocrinology and Metabolism 64, 12461250CrossRefGoogle ScholarPubMed
McCaig, C, Perks, CM & Holly, JM (2002) Intrinsic actions of IGFBP-3 and IGFBP-5 on Hs578T breast cancer epithelial cells: inhibition or accentuation of attachment and survival is dependent upon the presence of fibronectin. Journal of Cell Science 115, 42934303CrossRefGoogle ScholarPubMed
MacDonald, PC, Edman, CD, Hemsell, DL, Porter, JC & Siiteri, PK (1978) Effect of obesity on conversion of plasma androstenedione to estrone in postmenopausal women with and without endometrial cancer. American Journal of Obstetrics and Gynecology 130, 448455CrossRefGoogle ScholarPubMed
McEwen, BS & Stellar, E (1993) Stress and the individual. Mechanisms leading to disease. Archives of Internal Medicine 153, 20932101CrossRefGoogle ScholarPubMed
McTiernan, A (2003) Behavioral risk factors in breast cancer: can risk be modified? Oncologist 8, 326334CrossRefGoogle ScholarPubMed
McTiernan, A, Rajan, KB, Tworoger, SS, Irwin, M, Bernstein, L, Baumgartner, R, Gilliland, F, Stanczyk, FZ, Yasui, Y & Ballard-Barbash, R (2003) Adiposity and sex hormones in postmenopausal breast cancer survivors. Journal of Clinical Oncology 21, 19611966CrossRefGoogle ScholarPubMed
McTiernan, A, Sorensen, B, Yasui, Y, Tworoger, SS, Ulrich, CM, Irwin, ML, Rudolph, RE, Stanczyk, FZ, Schwartz, RS & Potter, JD (2005) No effect of exercise on insulin-like growth factor 1 and insulin-like growth factor binding protein 3 in postmenopausal women: a 12-month randomized clinical trial. Cancer Epidemiology Biomarkers and Prevention 14, 10201021CrossRefGoogle ScholarPubMed
McTiernan, A, Ulrich, C, Kumai, C, Bean, D, Schwartz, R, Mahloch, J, Hastings, R, Gralow, J & Potter, JD (1998a) Anthropometric and hormone effects of an eight-week exercise-diet intervention in breast cancer patients: results of a pilot study. Cancer Epidemiology Biomarkers and Prevention 7, 477481Google ScholarPubMed
McTiernan, A, Ulrich, C, Slate, S & Potter, J (1998b) Physical activity and cancer etiology: associations and mechanisms. Cancer Causes and Control 9, 487509CrossRefGoogle ScholarPubMed
Madden, KS & Felten, DL (1995) Experimental basis for neural-immune interactions. Physiological Reviews 75, 77106CrossRefGoogle ScholarPubMed
Maes, M (1995) Evidence for an immune response in major depression: a review and hypothesis. Progress in Neuropsychopharmacology and Biological Psychiatry 19, 1138CrossRefGoogle ScholarPubMed
Maes, M, Stevens, W, Peeters, D, DeClerck, L, Scharpe, S, Bridts, C, Schotte, C & Cosyns, P (1992) A study on the blunted natural killer cell activity in severely depressed patients. Life Sciences 50, 505513CrossRefGoogle Scholar
Maloney, EK, McLaughlin, JL, Dagdigian, NE, Garrett, LM, Connors, KM, Zhou, XM, Blattler, WA, Chittenden, T & Singh, R (2003) An anti-insulin-like growth factor I receptor antibody that is a potent inhibitor of cancer cell proliferation. Cancer Research 63, 50735083Google ScholarPubMed
Matsuzawa, Y, Shimomura, I, Nakamura, T, Keno, Y & Tokunaga, K (1995) Pathophysiology and pathogenesis of visceral fat obesity. Annals of the New York Academy of Sciences 748, 399406CrossRefGoogle ScholarPubMed
Matthews, CE, Fowke, JH, Dai, Q, Leon, BH, Jin, F, Shu, XO, Gao, YT, Longcope, C, Hebert, JR & Zheng, W (2004) Physical activity, body size, and estrogen metabolism in women. Cancer Causes and Control 15, 473481CrossRefGoogle ScholarPubMed
Meilahn, EN, De, SB, Allen, DS, Fentiman, I, Bradlow, HL, Sepkovic, DW & Kuller, LH (1998) Do urinary oestrogen metabolites predict breast cancer? Guernsey III cohort follow-up. British Journal of Cancer 78, 12501255CrossRefGoogle Scholar
Merzenich, H, Boeing, H & Wahrendorf, J (1993) Dietary fat and sports activity as determinants for age at menarche. American Journal of Epidemiology 138, 217224CrossRefGoogle ScholarPubMed
Michaud, DS, Augustsson, K, Rimm, EB, Stampfer, MJ, Willet, WC & Giovannucci, E (2001) A prospective study on intake of animal products and risk of prostate cancer. Cancer Causes and Control 12, 557567CrossRefGoogle ScholarPubMed
Miyata, Y, Sakai, H, Hayashi, T & Kanetake, H (2003) Serum insulin-like growth factor binding protein-3/prostate-specific antigen ratio is a useful predictive marker in patients with advanced prostate cancer. Prostate 54, 125132CrossRefGoogle ScholarPubMed
Moore, JW, Clark, GM, Bulbrook, RD, Hayward, JL, Murai, JT, Hammond, GL & Siiteri, PK (1982) Serum concentrations of total and non-protein-bound oestradiol in patients with breast cancer and in normal controls. International Journal of Cancer 29, 1721CrossRefGoogle ScholarPubMed
Musey, VC, Goldstein, S, Farmer, PK, Moore, PB & Phillips, LS (1993) Differential regulation of IGF-1 and IGF-binding protein-1 by dietary composition in humans. American Journal of Medical Science 305, 131138CrossRefGoogle ScholarPubMed
Muti, P, Bradlow, HL, Micheli, A, et al. . (2000) Estrogen metabolism and risk of breast cancer: a prospective study of the 2:16alpha-hydroxyestrone ratio in premenopausal and postmenopausal women. Epidemiology 11, 635640CrossRefGoogle Scholar
Nelson, ME, Meredith, CN, Dawson-Hughes, B & Evans, WJ (1988) Hormone and bone mineral status in endurance-trained and sedentary postmenopausal women. Journal of Clinical Endocrinology and Metabolism 66, 927933CrossRefGoogle ScholarPubMed
Nemet, D, Connolly, PH, Pontello-Pescatello, AM, Rose-Gottron, C, Larson, JK, Galassetti, P & Cooper, DM (2004) Negative energy balance plays a major role in the IGF-I response to exercise training. Journal of Applied Physiology 96, 276282CrossRefGoogle Scholar
Nerozzi, D, Santoni, A, Bersani, G, Magnani, A, Bressan, A, Pasini, A, Antonozzi, I & Frajese, G (1989) Reduced natural killer cell activity in major depression: neuroendocrine implications. Psychoneuroendocrinology 14, 295301CrossRefGoogle ScholarPubMed
Ngo, TH, Barnard, RJ, Leung, PS, Cohen, P & Aronson, WJ (2003) Insulin-like growth factor I (IGF-I) and IGF binding protein-1 modulate prostate cancer cell growth and apoptosis: possible mediators for the effects of diet and exercise on cancer cell survival. Endocrinology 144, 23192324CrossRefGoogle ScholarPubMed
Ngo, TH, Barnard, RJ, Tymchuk, CN, Cohen, P & Aronson, WJ (2002) Effect of diet and exercise on serum insulin, IGF-I, and IGFBP-1 levels and growth of LNCaP cells in vitro (United States). Cancer Causes and Control 13, 929935CrossRefGoogle ScholarPubMed
Niskanen, L, Uusitupa, M, Sarlund, H, Siitonen, O, Paljarvi, L & Laakso, M (1996) The effects of weight loss on insulin sensitivity, skeletal muscle composition and capillary density in obese non-diabetic subjects. International Journal of Obesity and Related Metabolic Disorders 20, 154160Google ScholarPubMed
Nomura, AM, Stemmermann, GN, Chyou, PH, Henderson, BE & Stanczyk, FZ (1996) Serum androgens and prostate cancer. Cancer Epidemiology Biomarkers and Prevention 5, 621625Google ScholarPubMed
Ornish, D, Weidner, G, Fair, WR, et al. . (2005) Intensive lifestyle changes may affect the progression of prostate cancer. Journal of Urology 174, 10651069CrossRefGoogle ScholarPubMed
Paavonen, T (1994) Hormonal regulation of immune responses. Annals of Medicine 26, 255258CrossRefGoogle ScholarPubMed
Papa, V & Belfiore, A (1996) Insulin receptors in breast cancer: biological and clinical role. Journal of Endocrinological Investigation 19, 324333CrossRefGoogle ScholarPubMed
Parkin, DM, Bray, F, Ferlay, J & Pisani, P (2001) Estimating the world cancer burden: Globocan 2000. International Journal of Cancer 94, 153156CrossRefGoogle ScholarPubMed
Parrizas, M & LeRoith, D (1997) Insulin-like growth factor-1 inhibition of apoptosis is associated with increased expression of the bcl-xL gene product. Endocrinology 138, 13551358CrossRefGoogle ScholarPubMed
Pasagian-Macaulay, A, Meilahn, EN, Bradlow, HL, Sepkovic, DW, Buhari, AM, Simkin-Silverman, L, Wing, RR & Kuller, LH (1996) Urinary markers of estrogen metabolism 2- and 16 alpha-hydroxylation in premenopausal women. Steroids 61, 461467CrossRefGoogle ScholarPubMed
Pasquali, R, Casimirri, F, de Iasio, R, Mesini, P, Boschi, S, Chierici, R, Flamia, R, Biscotti, M & Vicennati, V (1995) Insulin regulates testosterone and sex hormone-binding globulin concentrations in adult normal weight and obese men. Journal of Clinical Endocrinology and Metabolism 80, 654658Google ScholarPubMed
Perks, CM & Holly, JM (2003) The insulin-like growth factor (IGF) family and breast cancer. Breast Disease 18, 4560CrossRefGoogle ScholarPubMed
Peters, C, Lotzerich, H, Niemeier, B, Schule, K & Uhlenbruck, G (1994) Influence of a moderate exercise training on natural killer cytotoxicity and personality traits in cancer patients. Anticancer Research 14, 10331036Google ScholarPubMed
Peters, C, Lotzerich, H, Niemeir, B, Schule, K & Uhlenbruck, G (1995) Exercise, cancer and the immune response of monocytes. Anticancer Research 15, 175179Google ScholarPubMed
Pietrzkowski, Z, Mulholland, G, Gomella, L, Jameson, BA, Wernicke, D & Baserga, R (1993) Inhibition of growth of prostatic cancer cell lines by peptide analogues of insulin-like growth factor 1. Cancer Research 53, 11021106Google ScholarPubMed
Pike, MC, Spicer, DV, Dahmoush, L & Press, MF (1993) Estrogens, progestogens, normal breast cell proliferation, and breast cancer risk. Epidemiologic Reviews 15, 1735CrossRefGoogle ScholarPubMed
Plymate, SR, Matej, LA, Jones, RE & Friedl, KE (1988) Inhibition of sex hormone-binding globulin production in the human hepatoma (Hep G2) cell line by insulin and prolactin. Journal of Clinical Endocrinology and Metabolism 67, 460464CrossRefGoogle ScholarPubMed
Pollak, MN (1998) Endocrine effects of IGF-I on normal and transformed breast epithelial cells: potential relevance to strategies for breast cancer treatment and prevention. Breast Cancer Research and Treatment 47, 209217CrossRefGoogle ScholarPubMed
Polychronakos, C, Janthly, U, Lehoux, JG & Koutsilieris, M (1991) Mitogenic effects of insulin and insulin-like growth factors on PA-III rat prostate adenocarcinoma cells: characterization of the receptors involved. Prostate 19, 313321CrossRefGoogle ScholarPubMed
Rajaram, S, Baylink, DJ & Mohan, S (1997) Insulin-like growth factor-binding proteins in serum and other biological fluids: regulation and functions. Endocrine Reviews 18, 801831Google ScholarPubMed
Renehan, AG, Zwahlen, M, Minder, C, O'Dwyer, ST, Shalet, SM & Egger, M (2004) Insulin-like growth factor (IGF)-I, IGF binding protein-3, and cancer risk: systematic review and meta-regression analysis. Lancet 363, 13461353CrossRefGoogle ScholarPubMed
Rocha, RL, Hilsenbeck, SG, Jackson, JG, VanDenBerg, CL, Weng, C, Lee, AV & Yee, D (1997) Insulin-like growth factor binding protein-3 and insulin receptor substrate-1 in breast cancer: correlation with clinical parameters and disease-free survival. Clinical Cancer Research 3, 103109Google ScholarPubMed
Rose, DP, Boyar, AP, Cohen, C & Strong, LE (1987) Effect of a low-fat diet on hormone levels in women with cystic breast disease. I. Serum steroids and gonadotropins. Journal of the National Cancer Institute 78, 623626Google ScholarPubMed
Rose, DP, Chlebowski, RT, Connolly, JM, Jones, LA & Wynder, EL (1992) Effects of tamoxifen adjuvant therapy and a low-fat diet on serum binding proteins and estradiol bioavailability in postmenopausal breast cancer patients. Cancer Research 52, 53865390Google Scholar
Rose, DP, Connolly, JM, Chlebowski, RT, Buzzard, IM & Wynder, EL (1993) The effects of a low-fat dietary intervention and tamoxifen adjuvant therapy on the serum estrogen and sex hormone-binding globulin concentrations of postmenopausal breast cancer patients. Breast Cancer Research and Treatment 27, 253262CrossRefGoogle Scholar
Rosenthal, MB, Barnard, RJ, Rose, DP, Inkeles, S, Hall, J & Pritikin, N (1985) Effects of a high-complex-carbohydrate, low-fat, low-cholesterol diet on levels of serum lipids and estradiol. American Journal of Medicine 78, 2327CrossRefGoogle ScholarPubMed
Ross, R, Dagnone, D, Jones, PJ, Smith, H, Paddags, A, Hudson, R & Janssen, I (2000) Reduction in obesity and related comorbid conditions after diet-induced weight loss or exercise-induced weight loss in men. A randomized, controlled trial. Annals of Internal Medicine 133, 92103CrossRefGoogle ScholarPubMed
Ross, R, Janssen, I, Dawson, J, Kungl, AM, Kuk, JL, Wong, SL, Nguyen-Duy, TB, Lee, S, Kilpatrick, K & Hudson, R (2004) Exercise-induced reduction in obesity and insulin resistance in women: a randomized controlled trial. Obesity Research 12, 789798CrossRefGoogle ScholarPubMed
Sarma, AV, Jaffe, CA, Schottenfeld, D, Dunn, R, Montie, JE, Cooney, KA & Wei, JT (2002) Insulin-like growth factor-1, insulin-like growth factor binding protein-3, and body mass index: clinical correlates of prostate volume among Black men. Urology 59, 362367CrossRefGoogle ScholarPubMed
Schindler, AE, Ebert, A & Friedrich, E (1972) Conversion of androstenedione to estrone by human tissue. Journal of Clinical Endocrinology and Metabolism 35, 627630CrossRefGoogle ScholarPubMed
Schleifer, SJ, Keller, SE, Meyerson, AT, Raskin, MJ, Davis, KL & Stein, M (1984) Lymphocyte function in major depressive disorder. Archives of General Psychiatry 41, 484486CrossRefGoogle ScholarPubMed
Schmitz, KH, Ahmed, RL, Hannan, PJ & Yee, D (2005a) Safety and efficacy of weight training in recent breast cancer survivors to alter body composition, insulin, and insulin-like growth factor axis proteins. Cancer Epidemiology Biomarkers and Prevention 14, 16721680CrossRefGoogle ScholarPubMed
Schmitz, KH, Holtzman, J, Courneya, KS, Masse, LC, Duval, S & Kane, R (2005b) Controlled physical activity trials in cancer survivors: a systematic review and meta-analysis. Cancer Epidemiology Biomarkers and Prevention 14, 15881595CrossRefGoogle ScholarPubMed
Schuurman, AG, van den Brandt, PA, Dorant, E & Goldbohm, RA (1999) Animal products, calcium and protein and prostate cancer risk in The Netherlands Cohort Study. British Journal of Cancer 80, 11071113CrossRefGoogle ScholarPubMed
Schwartz, RS, Shuman, WP, Larson, V, Cain, KC, Fellingham, GW, Beard, JC, Kahn, SE, Stratton, JR, Cerqueira, MD & Abrass, IB (1991) The effect of intensive endurance exercise training on body fat distribution in young and older men. Metabolism 40, 545551CrossRefGoogle Scholar
Sephton, SE, Sapolsky, RM, Kraemer, HC & Spiegel, D (2000) Diurnal cortisol rhythm as a predictor of breast cancer survival. Journal of the National Cancer Institute 92, 9941000CrossRefGoogle ScholarPubMed
Sewell, HF, Halbert, CF, Robins, RA, Galvin, A, Chan, S & Blamey, RW (1993) Chemotherapy-induced differential changes in lymphocyte subsets and natural-killer-cell function in patients with advanced breast cancer. International Journal of Cancer 55, 735738CrossRefGoogle ScholarPubMed
Shaneyfelt, T, Husein, R, Bubley, G & Mantzoros, CS (2000) Hormonal predictors of prostate cancer: a meta-analysis. Journal of Clinical Oncology 18, 847853CrossRefGoogle ScholarPubMed
Shirai, T, Imaida, K, Masui, T, Iwasaki, S, Mori, T, Kato, T & Ito, N (1994) Effects of testosterone, dihydrotestosterone and estrogen on 3,2′-dimethyl-4-aminobiphenyl-induced rat prostate carcinogenesis. International Journal of Cancer 57, 224228CrossRefGoogle Scholar
Simpson, ER, Merrill, JC, Hollub, AJ, Graham-Lorence, S & Mendelson, CR (1989) Regulation of estrogen biosynthesis by human adipose cells. Endocrine Reviews 10, 136148CrossRefGoogle ScholarPubMed
Singh, A, Hamilton-Fairley, D, Koistinen, R, Seppala, M, James, VH, Franks, S & Reed, MJ (1990) Effect of insulin-like growth factor-type I (IGF-I) and insulin on the secretion of sex hormone binding globulin and IGF-I binding protein (IBP-I) by human hepatoma cells. Journal of Endocrinology 124, R1R3CrossRefGoogle ScholarPubMed
Smith, WJ, Underwood, LE & Clemmons, DR (1995) Effects of caloric or protein restriction on insulin-like growth factor-I (IGF-I) and IGF-binding proteins in children and adults. Journal of Clinical Endocrinology and Metabolism 80, 443449Google ScholarPubMed
Smith-Warner, SA, Spiegelman, D, Adami, HO, et al. . (2001) Types of dietary fat and breast cancer: a pooled analysis of cohort studies. International Journal of Cancer 92, 7677743.0.CO;2-0>CrossRefGoogle ScholarPubMed
Soygur, T, Kupeli, B, Aydos, K, Kupeli, S, Arikan, N & Muftuoglu, YZ (1996) Effect of obesity on prostatic hyperplasia: its relation to sex steroid levels. International Urology and Nephrology 28, 5559CrossRefGoogle ScholarPubMed
Stanczyk, FZ, Skinner, EC, Mertes, S, Spahn, MF, Lobo, RA & Ross, RK (1996) Alterations in circulating levels of androgens and PSA during treatment with Finasteride in men at high risk for prostate cancer. In Hormonal Carcinogenesis II, pp. 404407 [Li, JJ, Li, SA, Gustafsson, J, Nandi, S and Sekely, LI, editors]. New York: Springer-VerlagCrossRefGoogle Scholar
Stoll, BA (1999) Western nutrition and the insulin resistance syndrome: a link to breast cancer. European Journal of Clinical Nutrition 53, 8387CrossRefGoogle ScholarPubMed
Tchernof, A, Toth, MJ & Poehlman, ET (1999) Sex hormone-binding globulin levels in middle-aged premenopausal women. Associations with visceral obesity and metabolic profile. Diabetes Care 22, 18751881CrossRefGoogle ScholarPubMed
Teas, J, Cunningham, JE, Fowke, JH, Nitcheva, D, Kanwat, CP, Boulware, RJ, Sepkovic, DW, Hurley, TG & Hebert, JR (2005) Urinary estrogen metabolites, prostate specific antigen, and body mass index among African-American men in South Carolina. Cancer Detection and Prevention 29, 494500CrossRefGoogle ScholarPubMed
Thissen, JP, Ketelslegers, JM & Underwood, LE (1994) Nutritional regulation of the insulin-like growth factors. Endocrine Reviews 15, 80101Google ScholarPubMed
Thune, I & Furberg, AS (2001) Physical activity and cancer risk: dose-response and cancer, all sites and site-specific. Medicine and Science in Sports and Exercise 33, S530S550CrossRefGoogle ScholarPubMed
Torring, N, Vinter-Jensen, L, Pedersen, SB, Sorensen, FB, Flyvbjerg, A & Nexo, E (1997) Systemic administration of insulin-like growth factor I (IGF-I) causes growth of the rat prostate. Journal of Urology 158, 222227CrossRefGoogle ScholarPubMed
Touitou, Y, Bogdan, A, Levi, F, Benavides, M & Auzeby, A (1996) Disruption of the circadian patterns of serum cortisol in breast and ovarian cancer patients: relationships with tumour marker antigens. British Journal of Cancer 74, 12481252CrossRefGoogle ScholarPubMed
Turcato, E, Zamboni, M, De, PG, Armellini, F, Zivelonghi, A, Bergamo-Andreis, IA, Giorgino, R & Bosello, O (1997) Interrelationships between weight loss, body fat distribution and sex hormones in pre- and postmenopausal obese women. Journal of Internal Medicine 241, 363372CrossRefGoogle ScholarPubMed
Tymchuk, CN, Barnard, RJ, Ngo, TH & Aronson, WJ (2002) Role of testosterone, estradiol, and insulin in diet- and exercise-induced reductions in serum-stimulated prostate cancer cell growth in vitro. Nutrition and Cancer 42, 112116CrossRefGoogle ScholarPubMed
Tymchuk, CN, Tessler, SB, Aronson, WJ & Barnard, RJ (1998) Effects of diet and exercise on insulin, sex hormone-binding globulin, and prostate-specific antigen. Nutrition and Cancer 31, 127131CrossRefGoogle ScholarPubMed
Tymchuk, CN, Tessler, SB & Barnard, RJ (2000) Changes in sex hormone-binding globulin, insulin, and serum lipids in postmenopausal women on a low-fat, high-fiber diet combined with exercise. Nutrition and Cancer 38, 158162CrossRefGoogle ScholarPubMed
Underwood, LE (1996) Nutritional regulation of IGF-I and IGFBPs. Journal of Pediatric Endocrinology and Metabolism 9, Suppl. 3, 303312Google ScholarPubMed
Underwood, LE, Thissen, JP, Lemozy, S, Ketelslegers, JM & Clemmons, DR (1994) Hormonal and nutritional regulation of IGF-I and its binding proteins. Hormone Research 42, 145151CrossRefGoogle ScholarPubMed
van der Pompe, G, Antoni, MH & Heijnen, CJ (1996) Elevated basal cortisol levels and attenuated ACTH and cortisol responses to a behavioral challenge in women with metastatic breast cancer. Psychoneuroendocrinology 21, 361374CrossRefGoogle ScholarPubMed
van Vollenhoven, RF & McGuire, JL (1994) Estrogen, progesterone, and testosterone: can they be used to treat autoimmune diseases? Cleveland Clinical Journal of Medicine 61, 276284CrossRefGoogle ScholarPubMed
Verkasalo, PK, Thomas, HV, Appleby, PN, Davey, GK & Key, TJ (2001) Circulating levels of sex hormones and their relation to risk factors for breast cancer: a cross-sectional study in 1092 pre- and postmenopausal women (United Kingdom). Cancer Causes and Control 12, 4759CrossRefGoogle ScholarPubMed
von Hafe, P, Pina, F, Perez, A, Tavares, M & Barros, H (2004) Visceral fat accumulation as a risk factor for prostate cancer. Obesity Research 12, 19301935CrossRefGoogle ScholarPubMed
Voskuil, DW, Bueno de Mesquita, HB, Kaaks, R, van Noord, PA, Rinaldi, S, Riboli, E, Grobbee, DE & Peeters, PH (2001) Determinants of circulating insulin-like growth factor (IGF)-I and IGF binding proteins 1-3 in premenopausal women: physical activity and anthropometry (Netherlands). Cancer Causes and Control 12, 951958CrossRefGoogle ScholarPubMed
Walberg-Rankin, J, Franke, WD & Gwazdauskas, FC (1992) Response of beta-endorphin and estradiol to resistance exercise in females during energy balance and energy restriction. International Journal of Sports Medicine 13, 542547CrossRefGoogle ScholarPubMed
Wang, C, Catlin, DH, Starcevic, B, Heber, D, Ambler, C, Berman, N, Lucas, G, Leung, A, Schramm, K, Lee, PW, Hull, L & Swerdloff, RS (2005) Low-fat high-fiber diet decreased serum and urine androgens in men. Journal of Clinical Endocrinology and Metabolism 90, 35503559CrossRefGoogle ScholarPubMed
Wilson, HM, Birnbaum, RS, Poot, M, Quinn, LS & Swisshelm, K (2002) Insulin-like growth factor binding protein-related protein 1 inhibits proliferation of MCF-7 breast cancer cells via a senescence-like mechanism. Cell Growth and Differentiation 13, 205213Google Scholar
Wood, PD (1993) Impact of experimental manipulation of energy intake and expenditure on body composition. Critical Reviews in Food Science and Nutrition 33, 369373CrossRefGoogle ScholarPubMed
Woods, MN, Barnett, JB, Spiegelman, D, Trail, N, Hertzmark, E, Longcope, C & Gorbach, SL (1996) Hormone levels during dietary changes in premenopausal African-American women. Journal of the National Cancer Institute 88, 13691374CrossRefGoogle ScholarPubMed
Woods, MN, Gorbach, SL, Longcope, C, Goldin, BR, Dwyer, JT & Morrill-LaBrode, A (1989) Low-fat, high-fiber diet and serum estrone sulfate in premenopausal women. American Journal of Clinical Nutrition 49, 11791183CrossRefGoogle ScholarPubMed
Wu, AH, Pike, MC & Stram, DO (1999) Meta-analysis: dietary fat intake, serum estrogen levels and the risk of breast cancer. Journal of the National Cancer Institute 91, 529534CrossRefGoogle ScholarPubMed
Yu, H & Rohan, T (2000) Role of the insulin-like growth factor family in cancer development and progression. Journal of the National Cancer Institute 92, 14721489CrossRefGoogle ScholarPubMed
Ziegler, RG, Hoover, RN, Pike, MC, et al. . (1993) Migration patterns and breast cancer risk in Asian-American women. Journal of the National Cancer Institute 85, 18191827CrossRefGoogle ScholarPubMed
Figure 0

Table 1 The effects of combined low-fat and aerobic exercise interventions on circulating levels of insulin, sex steroid hormones and/or insulin-like growth factor (IGF) axis proteins