Literature DB >> 33288551

Early-Life and Adult Adiposity, Adult Height, and Benign Breast Tissue Composition.

Hannah Oh1,2, Lusine Yaghjyan3, Rebecca J Austin-Datta3, Yujing J Heng4, Gabrielle M Baker4, Korsuk Sirinukunwattana4,5, Adithya D Vellal4, Laura C Collins4, Divya Murthy6, A Heather Eliassen6,7, Bernard A Rosner6,8, Rulla M Tamimi9.   

Abstract

BACKGROUND: Early-life and adult anthropometrics are associated with breast density and breast cancer risk. However, little is known about whether these factors also influence breast tissue composition beyond what is captured by breast density among women with benign breast disease (BBD).
METHODS: This analysis included 788 controls from a nested case-control study of breast cancer within the Nurses' Health Study BBD subcohorts. Body fatness at ages 5 and 10 years was recalled using a 9-level pictogram. Weight at age 18, current weight, and height were reported via questionnaires. A deep-learning image analysis was used to quantify the percentages of epithelial, fibrous stromal, and adipose tissue areas within BBD slides. We performed linear mixed models to estimate beta coefficients (β) and 95% confidence intervals (CI) for the relationships between anthropometrics and the log-transformed percentages of individual tissue type, adjusting for confounders.
RESULTS: Childhood body fatness (level ≥ 4.5 vs. 1), BMI at age 18 (≥23 vs. <19 kg/m2), and current adult BMI (≥30 vs. <21 kg/m2) were associated with higher proportions of adipose tissue [β (95% CI) = 0.34 (0.03, 0.65), 0.19 (-0.04-0.42), 0.40 (0.12, 0.68), respectively] and lower proportions of fibrous stromal tissue [-0.05 (-0.10, 0.002), -0.03 (-0.07, 0.003), -0.12 (-0.16, -0.07), respectively] during adulthood (all P trend < 0.04). BMI at age 18 was also inversely associated with epithelial tissue (P trend = 0.03). Adult height was not associated with any of the individual tissue types.
CONCLUSIONS: Our data suggest that body fatness has long-term impacts on breast tissue composition. IMPACT: This study contributes to our understanding of the link between body fatness and breast cancer risk.See related commentary by Oskar et al., p. 590. ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 33288551      PMCID: PMC8026662          DOI: 10.1158/1055-9965.EPI-20-1348

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.090


  42 in total

1.  The influence of family history on breast cancer risk in women with biopsy-confirmed benign breast disease: results from the Nurses' Health Study.

Authors:  Laura C Collins; Heather J Baer; Rulla M Tamimi; James L Connolly; Graham A Colditz; Stuart J Schnitt
Journal:  Cancer       Date:  2006-09-15       Impact factor: 6.860

2.  Standardized measures of lobular involution and subsequent breast cancer risk among women with benign breast disease: a nested case-control study.

Authors:  Jonine D Figueroa; Ruth M Pfeiffer; Louise A Brinton; Maya M Palakal; Amy C Degnim; Derek Radisky; Lynn C Hartmann; Marlene H Frost; Melody L Stallings Mann; Daphne Papathomas; Gretchen L Gierach; Stephen M Hewitt; Maire A Duggan; Daniel Visscher; Mark E Sherman
Journal:  Breast Cancer Res Treat       Date:  2016-08-03       Impact factor: 4.872

3.  Mammographic densities and risk of breast cancer.

Authors:  A F Saftlas; R N Hoover; L A Brinton; M Szklo; D R Olson; M Salane; J N Wolfe
Journal:  Cancer       Date:  1991-06-01       Impact factor: 6.860

Review 4.  Overweight, obesity and risk of premenopausal breast cancer according to ethnicity: a systematic review and dose-response meta-analysis.

Authors:  A Amadou; P Ferrari; R Muwonge; A Moskal; C Biessy; I Romieu; P Hainaut
Journal:  Obes Rev       Date:  2013-04-25       Impact factor: 9.213

5.  Relationship of Terminal Duct Lobular Unit Involution of the Breast with Area and Volume Mammographic Densities.

Authors:  Gretchen L Gierach; Deesha A Patel; Ruth M Pfeiffer; Jonine D Figueroa; Laura Linville; Daphne Papathomas; Jason M Johnson; Rachael E Chicoine; Sally D Herschorn; John A Shepherd; Jeff Wang; Serghei Malkov; Pamela M Vacek; Donald L Weaver; Bo Fan; Amir Pasha Mahmoudzadeh; Maya Palakal; Jackie Xiang; Hannah Oh; Hisani N Horne; Brian L Sprague; Stephen M Hewitt; Louise A Brinton; Mark E Sherman
Journal:  Cancer Prev Res (Phila)       Date:  2015-12-08

6.  Early-Life and Adult Anthropometrics in Relation to Mammographic Image Intensity Variation in the Nurses' Health Studies.

Authors:  Hannah Oh; Megan S Rice; Erica T Warner; Kimberly A Bertrand; Erin E Fowler; A Heather Eliassen; Bernard A Rosner; John J Heine; Rulla M Tamimi
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-12-11       Impact factor: 4.254

7.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

8.  Height, adiposity and body fat distribution and breast density in young women.

Authors:  Joanne F Dorgan; Catherine Klifa; John A Shepherd; Brian L Egleston; Peter O Kwiterovich; John H Himes; Kelley Gabriel; Linda Horn; Linda G Snetselaar; Victor J Stevens; Bruce A Barton; Alan M Robson; Norman L Lasser; Snehal Deshmukh; Nola M Hylton
Journal:  Breast Cancer Res       Date:  2012-07-13       Impact factor: 6.466

9.  Deep Learning Image Analysis of Benign Breast Disease to Identify Subsequent Risk of Breast Cancer.

Authors:  Adithya D Vellal; Korsuk Sirinukunwattan; Kevin H Kensler; Gabrielle M Baker; Andreea L Stancu; Michael E Pyle; Laura C Collins; Stuart J Schnitt; James L Connolly; Mitko Veta; A Heather Eliassen; Rulla M Tamimi; Yujing J Heng
Journal:  JNCI Cancer Spectr       Date:  2021-01-11

Review 10.  Mammographic density, lobular involution, and risk of breast cancer.

Authors:  O M Ginsburg; L J Martin; N F Boyd
Journal:  Br J Cancer       Date:  2008-09-09       Impact factor: 7.640

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