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Quantification of Ki67 Staining Density in Tumors of the Colon Using Automated Slide Scanning Followed by Analysis Using the DensitoQuant Module in Quant Center

Published online by Cambridge University Press:  30 July 2020

Hillary Guzik
Affiliation:
Einstein College of Medicine, Analytical Imaging Facility, Bronx, New York, United States
Radhashree Maitra
Affiliation:
Yeshiva University and Albert Einstein College of Medicine, Bronx, New York, United States
Vera DesMarais
Affiliation:
Einstein College of Medicine, Analytical Imaging Facility, Bronx, New York, United States

Abstract

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Type
Biomedical and Pharmaceutical Research on the Development, Diagnosis, Prevention, and Treatment of Diseases
Copyright
Copyright © Microscopy Society of America 2020

References

Leung, S., Nielsen, T., Zabaglo, L. et al. Analytical validation of a standardized scoring protocol for Ki67: phase 3 of an international multicenter collaboration. npj Breast Cancer 2, 16014 (2016). https://doi.org/10.1038/npjbcancer.2016.14Google Scholar
Augustine, T., Maitra, R., Zhang, J. et al. Sensitization of colorectal cancer to irinotecan therapy by PARP inhibitor rucaparib. Invest New Drugs, (2019). 37: 948. https://doi.org/10.1007/s10637-018-00717-9CrossRefGoogle ScholarPubMed
Brown, D.C.. and Gatter, K.C.. Ki67 protein: the immaculate deception?. Histopathology, 40: 211 (2002). https://doi:10.1046/j.1365-2559.2002.01343.xCrossRefGoogle ScholarPubMed
All imaging was conducted in the Analytical Imaging Facility (AIF) (funded by NCI Cancer Grant P30CA013330). Imaging was conducted on a HISTECH P250 High Capacity Slide Scanner funded by SIG (#1S10OD019961-01). The authors would also like to thank Frank Macaluso for proofreading the manuscript.Google Scholar