Automated Quantitative Measures of Terminal Duct Lobular Unit Involution and Breast Cancer Risk
| Autor: | Josien P. W. Pluim, Kevin H. Kensler, Ying Liu, Yujing J. Heng, Rulla M. Tamimi, Christina Luffman, Suzanne C. Wetstein, Laura C. Collins, Allison M. Onken, A. Heather Eliassen, Vanessa C. Bret-Mounet, Gabrielle M. Baker, Graham A. Colditz, Susan E. Hankinson, Stuart J. Schnitt, Emily Z.F. Liu, Mitko Veta |
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| Přispěvatelé: | Eindhoven MedTech Innovation Center, Medical Image Analysis, EAISI Health |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Adult
0301 basic medicine Oncology medicine.medical_specialty Epidemiology Breast Neoplasms Logistic regression SDG 3 – Goede gezondheid en welzijn Article 03 medical and health sciences 0302 clinical medicine Breast cancer SDG 3 - Good Health and Well-being Risk Factors Internal medicine medicine Humans Involution (medicine) skin and connective tissue diseases business.industry Middle Aged medicine.disease 030104 developmental biology 030220 oncology & carcinogenesis Female Breast disease business Body mass index Normal breast |
| Zdroj: | Cancer Epidemiol Biomarkers Prev Cancer Epidemiology, Biomarkers & Prevention, 29(11), 2358-2368. American Association for Cancer Research Inc. |
| ISSN: | 1055-9965 |
| Popis: | Background: 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. Methods: 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. Results: 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 (P < 0.05). No measure was correlated with body size at ages 5–10 years, age at menarche, age at first birth, or breastfeeding history (P > 0.05). Neither quantitative nor qualitative measures were associated with breast cancer risk. Conclusions: Among Nurses' Health Studies women diagnosed with BBD, TDLU involution is not a biomarker of subsequent breast cancer. Impact: TDLU involution may not impact breast cancer risk as previously thought. |
| Databáze: | OpenAIRE |
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