Automated Quantitative Measures of Terminal Duct Lobular Unit Involution and Breast Cancer Risk

Manual qualitative and quantitative measures of terminal duct lobular unit (TDLU) involution were previously reported to be inversely associated with breast cancer risk. We developed and applied a deep learning method to yield quantitative measures of TDLU involution in normal breast tissue. We asse...

Full description

Saved in:
Bibliographic Details
Published inCancer epidemiology, biomarkers & prevention Vol. 29; no. 11; pp. 2358 - 2368
Main Authors Kensler, Kevin H, Liu, Emily Z F, Wetstein, Suzanne C, Onken, Allison M, Luffman, Christina I, Baker, Gabrielle M, Collins, Laura C, Schnitt, Stuart J, Bret-Mounet, Vanessa C, Veta, Mitko, Pluim, Josien P W, Liu, Ying, Colditz, Graham A, Eliassen, A Heather, Hankinson, Susan E, Tamimi, Rulla M, Heng, Yujing J
Format Journal Article
LanguageEnglish
Published United States 01.11.2020
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Manual qualitative and quantitative measures of terminal duct lobular unit (TDLU) involution were previously reported to be inversely associated with breast cancer risk. We developed and applied a deep learning method to yield quantitative measures of TDLU involution in normal breast tissue. We assessed the associations of these automated measures with breast cancer risk factors and risk. We obtained eight quantitative measures from whole slide images from a benign breast disease (BBD) nested case-control study within the Nurses' Health Studies (287 breast cancer cases and 1,083 controls). Qualitative assessments of TDLU involution were available for 177 cases and 857 controls. The associations between risk factors and quantitative measures among controls were assessed using analysis of covariance adjusting for age. The relationship between each measure and risk was evaluated using unconditional logistic regression, adjusting for the matching factors, BBD subtypes, parity, and menopausal status. Qualitative measures and breast cancer risk were evaluated accounting for matching factors and BBD subtypes. Menopausal status and parity were significantly associated with all eight measures; select TDLU measures were associated with BBD histologic subtype, body mass index, and birth index ( < 0.05). No measure was correlated with body size at ages 5-10 years, age at menarche, age at first birth, or breastfeeding history ( > 0.05). Neither quantitative nor qualitative measures were associated with breast cancer risk. Among Nurses' Health Studies women diagnosed with BBD, TDLU involution is not a biomarker of subsequent breast cancer. TDLU involution may not impact breast cancer risk as previously thought.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Co-senior authors
Authors’ contributions: Conceived and designed the study: RMT YJH MV. Data analysis: YJH KHK EZL. Epidemiological data collection: RMT GAC SEH AHE KHK YL. Breast pathology expertise: LCC SJS GMB AMO CIL. Computational method and data acquisition: SCW MV JPWP YJH VCB. All authors contributed to the writing and reviewing of the manuscript.
ISSN:1055-9965
1538-7755
DOI:10.1158/1055-9965.EPI-20-0723