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Weight, physical activity and breast cancer survival

Published online by Cambridge University Press:  26 February 2018

Anne McTiernan*
Affiliation:
Division of Public Health Sciences, Program in Epidemiology, Fred Hutchinson Cancer Research Center, PO Box 19024, M4-B874, Seattle, Washington 98109, USA
*
Corresponding author: Anne McTiernan, fax 206-667-4787, email [email protected]
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Abstract

Weight, weight change and physical activity may affect prognosis among women who are diagnosed with breast cancer. Observational studies show associations between overweight/obesity and weight gain with several measures of reduced prognosis in women with breast cancer, and some suggestions of lower survival in women who are underweight or who experience unexplained weight loss after diagnosis. Observational studies have also shown an association between higher levels of physical activity and reduced breast cancer-specific and all-cause mortality, although a dose–response relationship has not been established. The effects of purposive dietary weight loss and increase in physical activity on survival or recurrence in breast cancer are not yet established, and randomised controlled trials are needed for definitive data. This paper presents the epidemiologic evidence on weight status, weight change, and physical activity and breast cancer survival; suggests potential mediating mechanisms; summarises evidence on weight loss interventions in breast cancer survivors; describes ongoing randomised clinical trials designed to test the effects of weight loss or physical activity on breast cancer survival; and provides information on available guidelines on weight and physical activity for cancer survivors.

Type
Conference on ‘Diet, nutrition and the changing face of cancer survivorship’
Copyright
Copyright © The Author 2018 

The American Society for Clinical Oncology in 2016 recommended that cancer patients maintain a normal weight, increase physical activity and eat a diet low in fat and refined carbohydrates and high in vegetables and fruit, as a potential aid to some aspects of prognosis, acknowledging the lack of definitive data(Reference Runowicz, Leach and Henry1). If lifestyle factors could be confirmed as important in breast cancer prognosis, they may provide additional options for breast cancer survivors to maximise health and well-being.

This paper reviews the literature on associations between weight, physical activity and prognosis variables (cancer-specific mortality, all-cause mortality, recurrence and second primary cancers) in breast cancer in women. Referenced are comprehensive reviews of weight status, physical activity and breast cancer prognosis(Reference Chan, Vieira and Aune2Reference Zhong, Jiang and Ma11). Many observational studies and one randomised clinical trial have investigated the associations of weight, weight change or physical activity with prognosis among women diagnosed with breast cancer, as discussed in the sections following.

Weight, BMI and breast cancer prognosis

Overweight, obesity or underweight may increase the risk of breast cancer recurrence or death, although the effect of weight change on prognosis is not established. Overweight and obesity also increase the risk of some complications from breast cancer treatment and increase the risk of several co-morbidities.

A recent meta-analysis on weight status and breast cancer survival included 213 075 breast cancer patients from eighty-two prospective cohort studies, with 41 477 deaths (of which 23 182 were breast cancer-specific deaths)(Reference Chan, Vieira and Aune2). Thirty-five studies (114 012 women; 17 894 deaths) provided categorical results on BMI within 12 months after diagnosis, using WHO standard classifications (underweight, BMI <18·5 kg/m2; normal weight, BMI 18·6 to <25·0 kg/m2; overweight, BMI 25·0 to <30·0 kg/m2; obese, BMI ≥30·0 kg/m2).

Compared with normal weight women, the summary relative risks (RR) for total mortality were 1·23 (twenty-four studies, 95 % CI 1·12, 1·33) for obese women, 1·07 (twenty-two studies, 95 % CI 1·02, 1·12) for overweight women and 1·25 (eleven studies, 95 % CI 0·99, 1·57) for underweight women (Table 1). Compared with normal weight women, the summary RR for breast cancer-specific mortality were 1·25 (twelve studies, 95 % CI 1·10, 1·42) for obese women, 1·11 (twelve studies, 95 % CI 1·03, 1·20) for overweight women and 1·53 (five studies, 95 % CI 1·27, 1·83) for underweight women (Table 1).

Table 1. Summary of meta-analyses of BMI (kg/m2) and survival in women with breast cancer

*BMI before and after diagnosis (<12 months after, or ≥12 months after diagnosis) was classified according to the exposure period which the studies referred to in the BMI assessment; the BMI categories were included in the categorical meta-analyses as defined by the studies.

P h, P for heterogeneity between the studies; I 2, percentage of variation across studies that is due to heterogeneity rather than chance.

From: Chan DSM, Vieira AR, Aune D, Bandera EV, Greenwood DC, McTiernan A, Navarro Rosenblatt D, Thune I, Vieira R, Norat T. Body mass index and survival in women with breast cancer – systematic literature review and meta-analysis of 82 follow-up studies. Annals of Oncology, 2014, Volume 25, Issue 10, 1 October 2014, Pages 1901–1914, by permission of Oxford University Press.

The meta-analysis did not identify any subgroups of patients that were statistically significantly different from other subgroups in terms of weight associations with mortality, including menopausal status, hormone receptor status, sample size (number of deaths), length of follow-up, geographic location, or method of ascertaining height and weight (measured v. self-reported). Adjustment for potential confounders also did not substantially influence effect size, including tumour stage, cancer treatment, presence of diabetes or other co-morbidities, physical activity or smoking.

Dose–response curves were estimated, and showed a non-linear J-shaped curve for total mortality, with increasing RR for underweight, overweight and obese breast cancer survivors (Fig. 1). However, the dose–response relationship for breast cancer-specific mortality revealed only a linear response.

Fig. 1. (Colour online) Non-linear dose–response curves of BMI and mortality in women with breast cancer.

Several cohort studies have investigated whether the association of overweight/obesity with survival differs by molecular subtype of breast cancer. A 2012 meta-analysis with twenty-one studies found that all-cause mortality was higher in patients with highest v. lowest category of BMI for patients with both oestrogen receptor-positive and oestrogen receptor-negative tumours(Reference Niraula, Ocana and Ennis4). The pooled hazard ratio (HR) for all-cause mortality in heavier v. lighter women was 1·31 (95 % CI 1·17, 1·46) for those with oestrogen receptor/progesterone receptor-positive cancers; 1·18 (95 % CI 1·06, 1·31) for those with oestrogen receptor/progesterone receptor-negative cancers; and the difference between the two groups was NS (P = 0·31). The same meta-analysis found a statistically significant association between heavier v. lighter weight and risk of breast cancer-specific mortality in patients with oestrogen receptor/progesterone receptor-positive tumours (HR 1·36 95 % CI 1·20, 1·54). For women with oestrogen receptor/progesterone receptor-negative breast cancer, heavier v. lighter weight was associated with a non-statistically significant increase in breast cancer-specific mortality (HR 1·46; 95 % CI 0·98, 2·19). A combined analysis of 15 538 breast cancer patients from the National Surgical Adjuvant Breast and Bowel Project trials found some variability in the association of BMI with survival, with the suggestion that the effect of obesity on survival was limited to women with oestrogen receptor-positive disease(Reference Cecchini, Swain and Costantino12).

A smaller number of studies have looked at the association of obesity with survival by other classifications of tumour type and patients, including tumour genetics, locally advanced or inflammatory breast cancer and young patients(Reference Ligibel, Cirrincione and Liu13Reference Mazzarella, Disalvatore and Bagnardi17). In general, obesity increases the risk for poor survival, although some types may be more affected than others.

Several studies have investigated interactions between overweight/obesity and adjuvant therapy effectiveness. A National Surgical Adjuvant Breast and Bowel Project analysis of 3385 clinical trial patients from a randomised, placebo-controlled trial evaluating tamoxifen for lymph node-negative, oestrogen receptor–positive breast cancer found that obese women benefited from tamoxifen therapy as much as lighter weight women(Reference Dignam, Wieand and Johnson18). Compared with normal weight women, however, obese women had greater all-cause mortality (HR 1·31, 95 % CI 1·12, 1·54) and non-breast cancer mortality (HR 1·49, 95 % CI 1·15, 1·92). Several studies have found evidence that obesity reduces the effectiveness of some, but not all, aromatase inhibitors(Reference Jiralerspong and Goodwin19).

Two studies have reported on body fat distribution in relation to breast cancer prognosis, with suggestions of increased breast cancer mortality risk with android body fat distribution defined as the high waist:hip ratio(Reference Borugian, Sheps and Kim-Sing20) or as high suprailiac:thigh ratio(Reference Kumar, Cantor and Allen21).

Risk of future second primary breast cancer may also be increased with higher levels of adiposity. In a 2014 meta-analysis, highest v. lowest BMI increased the risk for the development of a second primary breast cancer (RR 1·30, 95 % CI 1·14, 1·48)(22). In this same meta-analysis, each five unit increase in BMI was associated with a 13 % increased risk for a second primary breast cancer (RR 1·13, 95 % CI 1·06, 1·21).

Weight change after breast cancer diagnosis and risk of mortality

Weight gain after diagnosis has been frequently reported for breast cancer patients, especially among women receiving systemic adjuvant chemotherapy(Reference Chlebowski, Aiello and McTiernan23, Reference Goodwin, Ennis and Pritchard24); with weight gains averaging between 2 and 4 kg, following some chemotherapy exercises such as cyclophosphamide, methotrexate and 5-fluorouracil(Reference Demark-Wahnefried, Winer and Rimer25, Reference Shepherd, Parulekar and Day26). Tamoxifen treatment does not appear to influence body weight(Reference Goodwin, Ennis and Pritchard24), and the effect of aromatase inhibitors on weight is not established. A 2015 meta-analysis including twelve studies found a 23 % increase in all-cause mortality in breast cancer survivors who had a >10 % weight gain after diagnosis(Reference Playdon, Bracken and Sanft3). Lesser amounts of weight gain were not associated with increased mortality, however.

Weight loss after a diagnosis of breast cancer is less common, but may be a sign of disease progression. In a meta-analysis of five studies, weight loss after diagnosis was associated with increases in both all-cause and breast cancer-specific mortality, both in women who at diagnosis were non-overweight and in those who were overweight or obese(Reference Jackson, Heinrich and Beeken5).

Obesity and development of co-morbidities in breast cancer survivors

Obese breast cancer patients are at increased risk for morbidities including surgical wound complications, lymphoedema and possibly, congestive heart failure if treated with doxorubicin(Reference Chlebowski27). Obesity also may increase the risk for development of endometrial cancer among women with breast cancer treated with tamoxifen(Reference Bernstein, Deapen and Cerhan28). Obesity increases the risk of several cancers in addition to breast and endometrium, including kidney, oesophageal adenocarcinoma, colon and others(29). Finally, overweight or obese breast cancer survivors may suffer from obesity-related co-morbidities including type II diabetes, hypertension, CVD, osteoarthritis and pulmonary disease(Reference Everett, Tamimi and Greer30, Reference von Gruenigen, Courneya and Gibbons31).

Physical activity and breast cancer prognosis

Evidence from several systematic reviews and meta-analyses shows a consistent inverse association between physical activity level after diagnosis and cancer-specific and all-cause mortality among breast cancer survivors(Reference Friedenreich, Neilson and Farris6Reference Zhong, Jiang and Ma11, Reference Ballard-Barbash, Friedenreich and Courneya32). A 2015 meta-analysis of eight cohorts found that highest v. lowest levels of physical activity were associated with a 48 % reduction in the risk for all-cause mortality (RR 0·52, 95 % CI 0·43, 0·64)(Reference Lahart, Metsios and Nevill9). A 2016 meta-analysis of ten cohorts found that highest v. lowest levels of post-diagnosis physical activity were associated with a 38 % reduction in the risk of breast cancer-specific mortality (RR 0·62, 95 % CI 0·48, 0·80)(Reference Friedenreich, Neilson and Farris6). This latter study found that the risk of recurrence was significantly reduced in four cohorts and one trial that collected recurrence data (RR 0·68, 95 % CI 0·58, 0·80)(Reference Friedenreich, Neilson and Farris6). It should be noted that various studies used quite different definitions of recurrence, so it is difficult to interpret the combined effect of these results.

A pooling project addressed the association between meeting the 2008 US Physical Activity Guidelines recommended activity levels and breast cancer survival(33). The project found that engaging in ≥10 metabolic equivalent of task-hours/week was associated with a 27 % reduction in all-cause mortality (HR 0·73, 95 % CI 0·66, 0·82) and a 25 % reduction in breast cancer-specific mortality (HR 0·75, 95 % CI 0·65, 0·85)(Reference Beasley, Kwan and Chen34).

Little information is available on the dose–response association of physical activity with breast cancer survival. A meta-analysis of four cohort studies found that each 5, 10 or 15 metabolic equivalent of task-hours/week increase in post-diagnosis physical activity was associated with a 6 % (95 % CI 3, 8 %), 11 % (95 % CI 6, 15 %) and 16 % (95 % CI 9, 2 %) reduction in the risk of breast cancer mortality, respectively(Reference Schmid and Leitzmann10). Furthermore, each 5, 10 or 15 metabolic equivalent of task-hours/week increase in post-diagnosis physical activity was associated with a 13 % (95 % CI 6, 20 %), 24 % (95 % CI 11, 36 %) and 34 % (95 % CI 16, 38 %) decreased risk of all-cause mortality, respectively(Reference Schmid and Leitzmann10).

Increasingly, research is focusing on the role of sedentary behaviour in health and disease. While several studies have looked at the associations of indices of sedentary lifestyle (e.g. sitting, television watching) and the risk for cancer(Reference Biswas, Oh and Faulkner35), only one study has focused on the association of sedentary behaviour and breast cancer survival(Reference George, Smith and Alfano36). In this study, 687 breast cancer survivors in the HEAL cohort were queried about the time spent watching television approximately 30 months after diagnosis, and were followed for a mean 7 years. Women in the top v. bottom tertile of television time had almost double the risk of all-cause mortality compared with women in the lowest tertile (HR 1·94, 95 % CI 1·02, 3·66, P trend = 0·024). However, the association was attenuated and no longer statistically significant after adjusting for potential confounders such as physical activity level.

Randomised controlled trials of weight loss and breast cancer prognosis

In the women's intervention nutrition study, 2437 women with breast cancer were randomly assigned between 1994 and 2001 in a ratio of 40 : 60 to a low-fat dietary intervention (n 975) or control (n 1462) group and followed for a median of 60 months(Reference Chlebowski, Blackburn and Thomson37). While the goals of the intervention did not include weight loss, at 12 months, women in the intervention group weighed a mean 6 pounds less than controls despite identical mean baseline weights in the groups (160 lbs). A total of 277 relapse events (local, regional, distant or ipsilateral breast cancer recurrence or new contralateral breast cancer) were reported in ninety-six of 975 (9·8 %) women in the dietary intervention group and 181 of 1462 (12·4 %) women in the control group. The HR of relapse events in the intervention group compared with the control group was 0·76 (95 % CI 0·60, 0·98, P = 0·077 for stratified log-rank and P = 0·034 for adjusted Cox model analysis). Exploratory analyses suggested a greater effect of the dietary intervention among women with hormone receptor-negative tumours.

There are several ongoing randomised clinical trials testing the effects of weight loss on breast cancer survival and related variables(Reference Chlebowski and Reeves38). The DIANA-5 trial is randomly assigning 1208 pre- and postmenopausal women with early-stage breast cancer at increased risk for recurrence (oestrogen receptor-negative, metabolic syndrome, high testosterone or high insulin) to the Mediterranean and macrobiotic diet intervention or control(Reference Villarini, Pasanisi and Traina39). The intervention is delivered via group face-to-face session including cooking classes. Recruited patients are a mean 1·8 years post-diagnosis. The primary outcome is breast cancer recurrence.

The SUCCESS-C trial is testing a 2-year reduced energy, reduced fat intervention with physical activity v. controls. The trial is a 2 × 2 factorial with chemotherapy exercises as the other two conditions(Reference Rack, Andergassen and Neugebauer40). A total of 3547 pre- and postmenopausal patients will be enrolled in the trial. Women with BMI between 24·0 and 40·0 kg/m2 will be randomised into the weight loss intervention or control arms of the trial. Patients are recruited within 6 weeks after surgery for human epidermal receptor-2-negative, node-positive or high-risk node-negative breast cancer. The intervention, delivered via phone, includes a 2092–4184 kJ/d deficit, fat intake reduction to 20–25 % of energy and 150–200 min/week of moderate-intensity physical activity. The primary outcome is disease-free survival.

In the UK, a small randomised controlled trial, the B-AHEAD3 trial, is testing energy reduction via 2 d fasting/5 d usual diet, v. control, on progression-free survival in 134 pre- and postmenopausal women with advanced breast cancer (locally advanced or distant metastases)(Reference Chlebowski and Reeves38). Patients are eligible if they have BMI ≥24·0 kg/m2.

A randomised trial in Spain (PREDICOP) will evaluate a 12-month lifestyle intervention v. usual care on breast cancer recurrence over 5 years’ follow-up(41). A total of 2108 pre- and postmenopausal women diagnosed with stage I–IIIa breast cancer (BMI 18–40 kg/m2) will be recruited. The reduced energy intervention is delivered in person, with once-weekly nutrition classes and twice-weekly supervised moderate- to high-intensity exercise sessions, with reduced frequency in the second 6 months. The primary endpoint is progression-free survival.

The Breast Cancer Weight Loss Study will enrol 3136 pre- and postmenopausal women with stage II or III human epidermal receptor-2-negative breast cancer (BMI ≥27 kg/m2) in the USA and Canada to determine whether weight loss will improve breast cancer outcome(Reference Ligibel, Barry and Alfano42). Participants will be randomly assigned to a 2-year weight loss intervention or control group. The phone-based intervention has goals to increase exercise and reduce energy, with the inclusion of a variety of exercise recording devices and programmes. The primary outcome is invasive disease-free survival, with follow-up over 10 years.

These ongoing trials are well powered to determine the effects of various dietary weight loss interventions on breast cancer prognosis endpoints, although their success will depend on patient recruitment, adherence to interventions and ability to retain participants long term.

Potential mechanisms for the effects of obesity and physical activity on breast cancer prognosis

Several mechanisms have been proposed to explain the relationships between overweight/obesity, physical activity and breast cancer prognosis, as graphically depicted in Fig. 2(Reference Jiralerspong and Goodwin19, Reference Chlebowski, Aiello and McTiernan23, Reference McTiernan43Reference Griggs, Mangu and Anderson46). These mechanisms include increased circulating or tissue levels of sex and metabolic hormones; reduced levels of hormone-binding proteins; increased levels of inflammation and other adipocytokines; and chemotherapy underdosing in obese patients.

Fig. 2. (Colour online) Potential mechanisms explaining associations between obesity, physical activity and breast cancer prognosis.

Excess oestrogens and androgens are related to reduced prognosis as supported by some(Reference Rock, Flatt and Laughlin47, Reference Micheli, Meneghini and Secreto48) but not all observational data(Reference Goodwin, Ennis and Pritchard49), and by the effect of anti-oestrogens or withdrawal of endogenous oestrogens as adjuvant treatments for breast cancer(Reference Howell50). Overweight and obese breast cancer patients and survivors have elevated blood levels of oestrogens and androgens, and some hormonal therapies have lower efficacy in obese patients(Reference Dignam, Wieand and Johnson18, Reference McTiernan, Rajan and Tworoger51, Reference Ioannides, Barlow and Elwood52).

High levels of insulin and C-peptide are elevated in overweight/obese and sedentary individuals and are reduced with either weight loss or regular exercise(Reference Frank, Sorensen and Yasui53). In a study of 535 women with early-stage breast cancer, women in the highest quartile of fasting insulin levels had a 2·1 times increased risk of distant recurrence compared with those in the lowest quartile (95 % CI 1·2, 3·6, P = 0·01) and a 3·3 times greater risk of death (95 % CI 1·5, 7·0, P = 0·002; adjusted for age, nodal stage, tumour stage, tumour grade, hormone receptor status, adjuvant chemotherapy, adjuvant tamoxifen)(Reference Goodwin, Ennis and Pritchard49). The effect of insulin on survival was independent of BMI. In a cohort of 571 breast cancer survivors diagnosed with stage I–IIIa breast cancer and followed for 5–8 years (median 6 years), fasting C-peptide levels at approximately 3 years post-diagnosis among women without type 2 diabetes were associated with an increased risk of death due to all causes or breast cancer(Reference Irwin, Duggan and Smith54). A 1 ng/ml increase in C-peptide was associated with a 34 % increased risk of death (HR 1·34; 95 % CI 1·07, 1·69; P = 0·013) and a 58 % increased risk of breast cancer death (HR 1·58; 95 % CI 1·15, 2·16, P = 0·0048) after adjustment for confounding variables. Women with C-peptide levels >2·5 ng/ml had an approximate 4-fold increased risk of breast cancer death compared with women with a C-peptide level <1·7 ng/ml (HR 3·90, 95 % CI 1·16, 13·13; P for trend = 0·028). Another report from this study found that decreased adiponectin levels and greater insulin resistance were associated with both increased breast cancer-specific and all-cause mortality(Reference Duggan, Irwin and Xiao55).

Overweight, obesity and lack of physical activity are associated with elevated inflammatory markers including C-reactive protein, serum amyloid A, IL-6, IL-1 and TNF-α, some of which have been shown to be higher in patients with metastatic breast cancer compared with women without breast cancer and with women with early breast cancer(Reference Chlebowski, Aiello and McTiernan23, Reference Pierce, Neuhouser and Wener56). In 731 breast cancer patients diagnosed with early-stage breast cancer, elevated inflammation markers C-reactive protein and serum amyloid A at approximately 31 months post-diagnosis were associated with reduced overall survival (P trend <0·002 and <0·0001, respectively)(Reference Pierce, Ballard-Barbash and Bernstein57). The HR for C-reactive protein and serum amyloid A tertiles suggested a threshold effect on death, rather than a dose–response relationship (HR for highest v lowest tertile: 2·27 and 3·15, respectively). Elevated C-reactive protein and serum amyloid A were also marginally associated with reduced disease-free survival.

Results of small randomised controlled trials suggest that weight loss or exercise interventions can alter circulating levels of obesity-related biomarkers in women with breast cancer. A 2014 systematic review reported statistically significant decreases in both insulin and C-reactive protein for dietary weight loss interventions that produced sizeable weight loss, such as >5 %(Reference Reeves, Terranova and Eakin58). That review also concluded that weight loss in breast cancer survivors reduces leptin and increases adiponectin. A meta-analysis found an overall statistically significant reduction in insulin with exercise interventions, and non-statistically significant reductions in C-reactive protein(Reference Kang, Lee and Suh59). The exercise intervention programmes varied in type (aerobic exercise, resistance exercise, aerobic plus resistance exercise, yoga or Tai Chi), setting (supervised, home-based or combined), intensity (moderate, moderate to vigorous or vigorous) and session length (from 15 to 90 min per session).

All the trials presented in these reviews of exercise or weight loss were of small size (N ≤ 102), and all were of short duration (range from 6 to 24 weeks). Given the small sizes, there is a considerable chance of publication bias.

Clinical impact

Over 297 million women worldwide were estimated to be obese in 2008, and the prevalence of overweight and obesity continue to rise(Reference Finucane, Stevens and Cowan60, 61). Globally, approximately 1·7 million women develop new breast cancer each year(62), of whom an estimated 40 % are obese(Reference Jiralerspong and Goodwin19). In developed countries such as the UK and US, the prevalence of overweight or obesity in postmenopausal breast cancer survivors may approach 65 %(Reference Reeves, Pirie and Beral63, Reference Engmann, Golmakani and Miglioretti64). After diagnosis, breast cancer patients on average decrease their levels of physical activity, and many remain less active for a decade or longer(Reference Irwin and Ainsworth65, Reference Mason, Alfano and Smith66). A US population-based cohort study of women diagnosed with breast cancer showed that by 10 years post-diagnosis, only about one-fifth of survivors engaged in recommended levels of physical activity (≥150 min/week moderate or ≥75 min/week vigorous activity)(33, Reference Mason, Alfano and Smith66). Therefore, overweight/obesity and lack of physical activity are common in breast cancer survivors and may counteract some of the benefits of modern treatments for this disease.

Clinical guidelines

Several organisations have developed guidelines for weight and physical activity for cancer survivors, including breast cancer survivors.

The American Cancer Society/American Society for Clinical Oncology guidelines(Reference Runowicz, Leach and Henry1, Reference Rock, Doyle and Demark-Wahnefried67) are based on expert opinion, and include recommendations that clinicians counsel survivors to: (1) achieve and maintain healthy weight, and if overweight or obese, limit consumption of high-energy foods and beverages and increase physical activity to promote and maintain weight loss; (2) engage in regular physical activity and specifically avoid inactivity and return to normal daily activities as soon as possible after diagnosis, aim for ≥150 min of moderate or 75 min vigorous aerobic exercise per week, and include strength training exercises ≥2 d per week and emphasise strength training for women treated with adjuvant chemotherapy or hormone therapy; and (3) achieve a dietary pattern that is high in vegetables, fruit, whole grains and legumes; low in saturated fats; and limited in alcohol consumption.

The 2008 United States Department of Health and Human Services Physical Activity Guidelines included recommendations for physical activity for individuals who have had a diagnosis of cancer, which was to follow guidelines for adults, if possible(33). In 2018, these guidelines will be updated based on the 2018 United States Department of Health and Human Services Physical Activity Guidelines Advisory Committee Report. The American College of Sports Medicine published recommendations for physical activity for cancer survivors, with detailed guidance for specific types of cancer patients and survivors including the stage of disease, the phase of treatment and co-morbidities(Reference Schmitz, Courneya and Matthews68). The World Cancer Research Fund guidance for breast cancer survivors is to follow cancer prevention guidelines(69). For weight and physical activity, this includes: maintain body weight within the normal range, avoid weight gain, be moderately physically active (such as brisk walking) for at least 30 min every day; as fitness improves, aim for 60 min or more of moderate, or for 30 min or more of vigorous, physical activity every day; limit sedentary habits such as watching television; limit consumption of energy-dense foods (foods high in fats and/or added sugars and/or low in fibre); and avoid sugary drinks.

Research needs

While a large number of prospective observational studies have investigated the association between BMI or other weight indicators and breast cancer prognosis, none have completely controlled for potential confounding effects of disease spread, treatment type and completion of treatment. Therefore, more rigorous sources of data are needed. In particular, randomised clinical trials are needed to determine the effects and safety of weight loss interventions on breast cancer survival and related variables. There is a need to test diets in addition to standard reduced energy/reduced fat, such as reduced carbohydrate diets and alternate fasting diet. The effects on survival of weight loss medications in addition to behavioural weight loss interventions need to be tested. The effect of physical activity interventions on survival needs to be tested. Trials in patients with advanced cancer/metastatic disease are needed, as are intervention trials in patients with specific types of breast cancers and particular treatment exercises.

Given the long-term survival of many breast cancer patients, but with continuing risk of recurrence, present prospective cohort studies should be extended for follow-up for at least 20 years. The role of sedentary behaviours on breast cancer survival should be investigated in cohort studies. Finally, the associations of weight, physical activity and sedentary lifestyles on breast cancer prognosis in understudied, underserved populations should be investigated, such as women from racial/ethnic minorities, young and aged women, and women with co-morbidities.

Conclusion

Observational data show strong evidence that increased adiposity and insufficient physical activity are associated with decreased prognosis in women with breast cancer. There is also a suggestion of reduced prognosis in underweight breast cancer survivors. Both weight gain and unexplained weight loss are associated with lower survival in women with breast cancer. The worldwide trends in increasing overweight and obesity and decreased physical activity may lead to an increasing proportion of women with breast cancer being overweight, obese and sedentary, thus the clinical implications are significant.

There have been no randomised clinical trials testing the effect of weight loss or physical activity interventions on recurrence or survival in overweight or obese breast cancer patients. In the absence of clinical trial data, most individual patients should be advised to avoid weight gain through the cancer treatment process. In addition, weight loss through dietary change is probably safe, and perhaps helpful, for overweight and obese breast cancer survivors who are otherwise healthy. Finally, most breast cancer survivors should be able to perform regular physical activity with the goal of achieving recommended levels.

Financial support

Grants from the Breast Cancer Research Foundation (BCRF-16-106 and BCRF-17-105). The Breast Cancer Research Foundation had no role in the design, analysis or writing of this article.

Conflicts of interest

None.

Authorship

A. McT. was responsible for the concept, writing and review of this manuscript.

References

1.Runowicz, CD, Leach, CR, Henry, NL et al. (2016) American Cancer Society/American Society of Clinical Oncology Breast Cancer Survivorship Care Guideline. J Clin Oncol 34, 611635.Google Scholar
2.Chan, DS, Vieira, AR, Aune, D et al. (2014) Body mass index and survival in women with breast cancer-systematic literature review and meta-analysis of 82 follow-up studies. Ann Oncol 25, 19011914.Google Scholar
3.Playdon, MC, Bracken, MB, Sanft, TB et al. (2015) Weight gain after breast cancer diagnosis and all-cause mortality: systematic review and meta-analysis. J Natl Cancer Inst 107, djv275.Google Scholar
4.Niraula, S, Ocana, A, Ennis, et al. (2012) Body size and breast cancer prognosis in relation to hormone receptor and menopausal status: a meta-analysis. Breast Cancer Res Treat 134, 769781.Google Scholar
5.Jackson, SE, Heinrich, M, Beeken, R et al. (2017) Weight loss and mortality in overweight and obese cancer survivors: a systematic review. PLoS ONE 12, e0169173.Google Scholar
6.Friedenreich, CM, Neilson, HK, Farris, M et al. (2016) Physical activity and cancer outcomes: a precision medicine approach. Clin Cancer Res 22, 47664775.Google Scholar
7.Ibrahim, EM & Al-Homaidh, A (2011) Physical activity and survival after breast cancer diagnosis: meta-analysis of published studies. Med Oncol (Northwood, London, England) 28, 753765.Google Scholar
8.Fontein, DB, de Glas, NA, Duijm, M et al. (2013) Age and the effect of physical activity on breast cancer survival: a systematic review. Cancer Treat Rev 39, 958965.Google Scholar
9.Lahart, IM, Metsios, GS, Nevill, A et al. (2015) Physical activity, risk of death and recurrence in breast cancer survivors: a systematic review and meta-analysis of epidemiological studies. Acta Oncol (Stockholm, Sweden) 54, 635654.Google Scholar
10.Schmid, D & Leitzmann, MF (2014) Association between physical activity and mortality among breast cancer and colorectal cancer survivors: a systematic review and meta-analysis. Ann Oncol 25, 12931311.Google Scholar
11.Zhong, S, Jiang, T, Ma, T et al. (2014) Association between physical activity and mortality in breast cancer: a meta-analysis of cohort studies. Eur J Epidemiol 29, 391404.Google Scholar
12.Cecchini, RS, Swain, SM, Costantino, JP et al. (2016) Body mass index at diagnosis and breast cancer survival prognosis in clinical trial populations from NRG oncology/NSABP B-30, B-31, B-34, and B-38. Cancer Epidemiol Biomarkers Prev 25, 5159.Google Scholar
13.Ligibel, JA, Cirrincione, CT, Liu, M et al. (2015) Body mass index, PAM50 subtype, and outcomes in node-positive breast cancer: CALGB 9741 (Alliance). J Natl Cancer Inst 107.Google Scholar
14.Dawood, S, Broglio, K, Gonzalez-Angulo, AM et al. (2008) Prognostic value of body mass index in locally advanced breast cancer. Clin Cancer Res 14, 17181725.Google Scholar
15.Widschwendter, P, Friedl, TW, Schwentner, L et al. (2015) The influence of obesity on survival in early, high-risk breast cancer: results from the randomized SUCCESS A trial. Breast Cancer Res 17, 129.Google Scholar
16.Copson, ER, Cutress, RI, Maishman, T et al. (2015) Obesity and the outcome of young breast cancer patients in the UK: the POSH study. Ann Oncol 26, 101112.Google Scholar
17.Mazzarella, L, Disalvatore, D, Bagnardi, V et al. (2013) Obesity increases the incidence of distant metastases in oestrogen receptor-negative human epidermal growth factor receptor 2-positive breast cancer patients. Eur J Cancer (Oxford, England: 1990) 49, 35883597.Google Scholar
18.Dignam, J, Wieand, K, Johnson, K et al. (2003) Obesity, tamoxifen use, and outcomes in women with estrogen receptor-positive early-stage breast cancer. J Natl Cancer Inst 95, 14671476.Google Scholar
19.Jiralerspong, S & Goodwin, PJ (2016) Obesity and breast cancer prognosis: evidence, challenges, and opportunities. J Clin Oncol 34, 42034216.Google Scholar
20.Borugian, M, Sheps, S, Kim-Sing, C et al. (2003) Waist-to-hip ratio and breast cancer mortality. Am J Epidemiol 158, 963968.Google Scholar
21.Kumar, N, Cantor, A, Allen, et al. (2000) Android obesity at diagnosis and breast carcinoma survival: evaluation of the effects of anthropometric variables at diagnosis, including body composition and body fat distribution and weight gain during life span, and survival from breast carcinoma. Cancer 88, 27512757.Google Scholar
23.Chlebowski, RT, Aiello, E & McTiernan, A (2002) Weight loss in breast cancer patient management. J Clin Oncol 20, 11281143.Google Scholar
24.Goodwin, PJ, Ennis, M, Pritchard, KI et al. (1999) Adjuvant treatment and onset of menopause predict weight gain after breast cancer diagnosis. J Clin Oncol 17, 120129.Google Scholar
25.Demark-Wahnefried, W, Winer, E & Rimer, B (1993) Why women gain weight with adjuvant chemotherapy for breast cancer. (review). J Clin Oncol 11, 14181429.Google Scholar
26.Shepherd, L, Parulekar, W & Day, A (2001) Weight gain during adjuvant therapy in high risk pre/perimenopausal breast cancer patients: analysis of a National Cancer Institute of Canada Clinical Trials Group (NCIC CTG) Phase III Study. Proc Am Soc Clin Oncol 20, 36a.Google Scholar
27.Chlebowski, RT (2002) Breast cancer risk reduction: strategies for women at increased risk. Annu Rev Med 53, 519540.Google Scholar
28.Bernstein, L, Deapen, D, Cerhan, JR et al. (1999) Tamoxifen therapy for breast cancer and endometrial cancer risk. J Natl Cancer Inst 91, 16541662.Google Scholar
29.IARC Working Group on the Evaluation of Cancer-Preventive Agents (2002) Weight Control and Physical Activity (IARC Handbooks of Cancer Prevention, Vol. 6). Lyon: IARC.Google Scholar
30.Everett, E, Tamimi, H, Greer, B et al. (2003) The effect of body mass index on clinical/pathologic features, surgical morbidity, and outcome in patients with endometrial cancer. Gynecol Oncol 90, 150157.Google Scholar
31.von Gruenigen, VE, Courneya, KS, Gibbons, HE et al. (2008) Feasibility and effectiveness of a lifestyle intervention program in obese endometrial cancer patients: a randomized trial. Gynecol Oncol 109, 1926.Google Scholar
32.Ballard-Barbash, R, Friedenreich, CM, Courneya, KS et al. (2012) Physical activity, biomarkers, and disease outcomes in cancer survivors: a systematic review. J Natl Cancer Inst 104, 815840.Google Scholar
33.Physical Activity Guidelines Advisory Committee report, 2008 (2009) To the Secretary of Health and Human Services. Part A: executive summary. Nutr Rev 67, 114120.Google Scholar
34.Beasley, JM, Kwan, ML, Chen, WY et al. (2012) Meeting the physical activity guidelines and survival after breast cancer: findings from the after breast cancer pooling project. Breast Cancer Res Treat 131, 637643.Google Scholar
35.Biswas, A, Oh, PI, Faulkner, GE et al. (2015) Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: a systematic review and meta-analysis. Ann Intern Med 162, 123132.Google Scholar
36.George, SM, Smith, AW, Alfano, CM et al. (2013) The association between television watching time and all-cause mortality after breast cancer. J Cancer Surviv 7, 247252.Google Scholar
37.Chlebowski, RT, Blackburn, GL, Thomson, CA et al. (2006) Dietary fat reduction and breast cancer outcome: interim efficacy results from the Women's Intervention Nutrition Study. J Natl Cancer Inst 98, 17671776.Google Scholar
38.Chlebowski, RT & Reeves, MM (2016) Weight loss randomized intervention trials in female cancer survivors. J Clin Oncol 34, 42384248.Google Scholar
39.Villarini, A, Pasanisi, P, Traina, A et al. (2012) Lifestyle and breast cancer recurrences: the DIANA-5 trial. Tumori 98, 118.Google Scholar
40.Rack, B, Andergassen, U, Neugebauer, J et al. (2010) The German SUCCESS C study – the first European lifestyle study on breast cancer. Breast Care (Basel, Switzerland) 5, 395400.Google Scholar
42.Ligibel, JA, Barry, WT, Alfano, C et al. (2017) Randomized phase III trial evaluating the role of weight loss in adjuvant treatment of overweight and obese women with early breast cancer (Alliance A011401): study design. NPJ Breast Cancer 3, 37.Google Scholar
43.McTiernan, A (2008) Mechanisms linking physical activity with cancer. Nat Rev Cancer 8, 205211.Google Scholar
44.Koelwyn, GJ, Quail, DF, Zhang, X et al. (2017) Exercise-dependent regulation of the tumour microenvironment. Nat Rev Cancer 17, 620632.Google Scholar
45.Ashcraft, KA, Peace, RM, Betof, AS et al. (2016) Efficacy and mechanisms of aerobic exercise on cancer initiation, progression, and metastasis: a critical systematic review of in vivo preclinical data. Cancer Res 76, 40324050.Google Scholar
46.Griggs, JJ, Mangu, PB, Anderson, H et al. (2012) Appropriate chemotherapy dosing for obese adult patients with cancer: American Society of Clinical Oncology clinical practice guideline. J Clin Oncol 30, 15531561.Google Scholar
47.Rock, CL, Flatt, SW, Laughlin, GA et al. (2008) Reproductive steroid hormones and recurrence-free survival in women with a history of breast cancer. Cancer Epidemiol Biomarkers Prev 17, 614620.Google Scholar
48.Micheli, A, Meneghini, E, Secreto, G et al. (2007) Plasma testosterone and prognosis of postmenopausal breast cancer patients. J Clin Oncol 25, 26852690.Google Scholar
49.Goodwin, PJ, Ennis, M, Pritchard, KI et al. (2002) Fasting insulin and outcome in early-stage breast cancer: results of a prospective cohort study. J Clin Oncol 20, 4251.Google Scholar
50.Howell, A, on behalf of the ATAC Trialists’ Group A (2004) The ATAC (‘Arimidex’, Tamoxifen, Alone or in Combination) trial in postmenopausal women with early breast cancer – updated efficacy results based on a median follow-up of 5 years. Breast Cancer Res Treat 88(1 Suppl), 57.Google Scholar
51.McTiernan, A, Rajan, KB, Tworoger, SS et al. (2003) Adiposity and sex hormones in postmenopausal breast cancer survivors. J Clin Oncol 21, 19611966.Google Scholar
52.Ioannides, SJ, Barlow, PL, Elwood, J et al. (2014) Effect of obesity on aromatase inhibitor efficacy in postmenopausal, hormone receptor-positive breast cancer: a systematic review. Breast Cancer Res Treat 147, 237248.Google Scholar
53.Frank, LL, Sorensen, BE, Yasui, Y et al. (2005) Effects of exercise on metabolic risk variables in overweight postmenopausal women: a randomized clinical trial. Obes Res 13, 615625.Google Scholar
54.Irwin, ML, Duggan, C, Smith, A et al. (2011) Fasting C-peptide levels and death due to all causes and breast cancer: The Health Eating Activity and Lifestyle (HEAL) Study. J Clin Oncol 29, 4753Google Scholar
55.Duggan, C, Irwin, ML, Xiao, L et al. (2010) Associations of insulin resistance and adiponectin with mortality in women with breast cancer. J Clin Oncol 29, 3239.Google Scholar
56.Pierce, BL, Neuhouser, ML, Wener, MH et al. (2009) Correlates of circulating C-reactive protein and serum amyloid A concentrations in breast cancer survivors. Breast Cancer Res Treat 114, 155167.Google Scholar
57.Pierce, BL, Ballard-Barbash, R, Bernstein, L et al. (2009) Elevated biomarkers of inflammation are associated with reduced survival among breast cancer patients. J Clin Oncol 27, 34373444.Google Scholar
58.Reeves, MM, Terranova, CO, Eakin, E et al. (2014) Weight loss intervention trials in women with breast cancer: a systematic review. Obes Rev 15, 749768.Google Scholar
59.Kang, DW, Lee, J, Suh, SH et al. (2017) Effects of exercise on insulin, IGF axis, adipocytokines, and inflammatory markers in breast cancer survivors: a systematic review and meta-analysis. Cancer Epidemiol Biomarkers Prev 26, 355365.Google Scholar
60.Finucane, MM, Stevens, GA, Cowan, MJ et al. (2011) National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9·1 million participants. Lancet 377, 557567.Google Scholar
61.NCD Risk Factor Collaboration (2016) Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants. Lancet 387, 13771396.Google Scholar
63.Reeves, GK, Pirie, K, Beral, V et al. (2007) Cancer incidence and mortality in relation to body mass index in the Million Women Study: cohort study. BMJ (Clin Res ed) 335, 1134.Google Scholar
64.Engmann, NJ, Golmakani, MK, Miglioretti, DL et al. (2017) Population-attributable risk proportion of clinical risk factors for breast cancer. JAMA Oncol 3, 12281236.Google Scholar
65.Irwin, ML & Ainsworth, BE (2004) Physical activity interventions following cancer diagnosis: methodologic challenges to delivery and assessment. Cancer Invest 22, 3050.Google Scholar
66.Mason, C, Alfano, CM, Smith, AW et al. (2013) Long-term physical activity trends in breast cancer survivors. Cancer Epidemiol Biomarkers Prev 22, 11531161.Google Scholar
67.Rock, CL, Doyle, C, Demark-Wahnefried, W et al. (2012) Nutrition and physical activity guidelines for cancer survivors. CA Cancer J Clin 62, 243274.Google Scholar
68.Schmitz, KH, Courneya, KS, Matthews, C et al. (2010) American College of Sports Medicine roundtable on exercise guidelines for cancer survivors. Med Sci Sports Exerc 42, 14091426.Google Scholar
69.World cancer Researcch Fund International (2018) Available at https://www.wcrf.org/int/research-we-fund/our-cancer-prevention-recommendations.Google Scholar
Figure 0

Table 1. Summary of meta-analyses of BMI (kg/m2) and survival in women with breast cancer

Figure 1

Fig. 1. (Colour online) Non-linear dose–response curves of BMI and mortality in women with breast cancer.

Figure 2

Fig. 2. (Colour online) Potential mechanisms explaining associations between obesity, physical activity and breast cancer prognosis.