Literature DB >> 31826913

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

Hannah Oh1,2, Megan S Rice3, Erica T Warner4,5, Kimberly A Bertrand6, Erin E Fowler7, A Heather Eliassen5,8, Bernard A Rosner8,9, John J Heine7, Rulla M Tamimi5,8.   

Abstract

BACKGROUND: The V measure captures grayscale intensity variation on a mammogram and is positively associated with breast cancer risk, independent of percent mammographic density (PMD), an established marker of breast cancer risk. We examined whether anthropometrics are associated with V, independent of PMD.
METHODS: The analysis included 1,700 premenopausal and 1,947 postmenopausal women without breast cancer within the Nurses' Health Study (NHS) and NHSII. Participants recalled their body fatness at ages 5, 10, and 20 years using a 9-level pictogram (level 1: most lean) and reported weight at age 18 years, current adult weight, and adult height. V was estimated by calculating standard deviation of pixels on screening mammograms. Linear mixed models were used to estimate beta coefficients (ß) and 95% confidence intervals (CI) for the relationships between anthropometric measures and V, adjusting for confounders and PMD.
RESULTS: V and PMD were positively correlated (Spearman r = 0.60). Higher average body fatness at ages 5 to 10 years (level ≥ 4.5 vs. 1) was significantly associated with lower V in premenopausal (ß = -0.32; 95% CI, -0.48 to -0.16) and postmenopausal (ß = -0.24; 95% CI, -0.37 to -0.10) women, independent of current body mass index (BMI) and PMD. Similar inverse associations were observed with average body fatness at ages 10 to 20 years and BMI at age 18 years. Current BMI was inversely associated with V, but the associations were largely attenuated after adjustment for PMD. Height was not associated with V.
CONCLUSIONS: Our data suggest that early-life body fatness may reflect lifelong impact on breast tissue architecture beyond breast density. However, further studies are needed to confirm the results. IMPACT: This study highlights strong inverse associations of early-life adiposity with mammographic image intensity variation. ©2019 American Association for Cancer Research.

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Year:  2019        PMID: 31826913      PMCID: PMC7007347          DOI: 10.1158/1055-9965.EPI-19-0832

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  39 in total

1.  A novel automated mammographic density measure and breast cancer risk.

Authors:  John J Heine; Christopher G Scott; Thomas A Sellers; Kathleen R Brandt; Daniel J Serie; Fang-Fang Wu; Marilyn J Morton; Beth A Schueler; Fergus J Couch; Janet E Olson; V Shane Pankratz; Celine M Vachon
Journal:  J Natl Cancer Inst       Date:  2012-07-03       Impact factor: 13.506

2.  Use of the Danish Adoption Register for the study of obesity and thinness.

Authors:  A J Stunkard; T Sørensen; F Schulsinger
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3.  Adult height in relation to risk of cancer in a cohort of Canadian women.

Authors:  Geoffrey C Kabat; Moonseong Heo; Victor Kamensky; Anthony B Miller; Thomas E Rohan
Journal:  Int J Cancer       Date:  2012-08-06       Impact factor: 7.396

4.  Growth patterns and the risk of breast cancer in women.

Authors:  Martin Ahlgren; Mads Melbye; Jan Wohlfahrt; Thorkild I A Sørensen
Journal:  N Engl J Med       Date:  2004-10-14       Impact factor: 91.245

5.  Age differences in the impact of nutritional supplementation on growth.

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Journal:  J Nutr       Date:  1995-04       Impact factor: 4.798

6.  Mammographic features and breast cancer risk: effects with time, age, and menopause status.

Authors:  C Byrne; C Schairer; J Wolfe; N Parekh; M Salane; L A Brinton; R Hoover; R Haile
Journal:  J Natl Cancer Inst       Date:  1995-11-01       Impact factor: 13.506

7.  Association of childhood and adolescent anthropometric factors, physical activity, and diet with adult mammographic breast density.

Authors:  T A Sellers; C M Vachon; V S Pankratz; C A Janney; Z Fredericksen; K R Brandt; Y Huang; F J Couch; L H Kushi; J R Cerhan
Journal:  Am J Epidemiol       Date:  2007-06-04       Impact factor: 4.897

8.  Immunoassay and Nb2 lymphoma bioassay prolactin levels and mammographic density in premenopausal and postmenopausal women the Nurses' Health Studies.

Authors:  Megan S Rice; Shelley S Tworoger; Kimberly A Bertrand; Susan E Hankinson; Bernard A Rosner; Yvonne B Feeney; Charles V Clevenger; Rulla M Tamimi
Journal:  Breast Cancer Res Treat       Date:  2014-12-13       Impact factor: 4.624

9.  The association of breast mitogens with mammographic densities.

Authors:  N F Boyd; J Stone; L J Martin; R Jong; E Fishell; M Yaffe; G Hammond; S Minkin
Journal:  Br J Cancer       Date:  2002-10-07       Impact factor: 7.640

10.  Body fat and breast cancer risk in postmenopausal women: a longitudinal study.

Authors:  Thomas E Rohan; Moonseong Heo; Lydia Choi; Mridul Datta; Jo L Freudenheim; Victor Kamensky; Heather M Ochs-Balcom; Lihong Qi; Cynthia A Thomson; Mara Z Vitolins; Sylvia Wassertheil-Smoller; Geoffrey C Kabat
Journal:  J Cancer Epidemiol       Date:  2013-04-07
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Authors:  Lusine Yaghjyan; Carmen Smotherman; John Heine; Graham A Colditz; Bernard Rosner; Rulla M Tamimi
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-12-03       Impact factor: 4.090

2.  Early-life body mass index and risks of breast, endometrial, and ovarian cancers: a dose-response meta-analysis of prospective studies.

Authors:  Dohyun Byun; SungEun Hong; NaNa Keum; Hannah Oh; Seaun Ryu; Yeonju Nam; Hajin Jang; Yoonkyoung Cho
Journal:  Br J Cancer       Date:  2021-11-12       Impact factor: 9.075

3.  Refining the Focus on Early Life and Adolescent Pathways to Prevent Breast Cancer.

Authors:  Graham A Colditz; Adetunji T Toriola
Journal:  J Natl Cancer Inst       Date:  2021-06-01       Impact factor: 13.506

4.  Understanding Adiposity at Different Times Across the Life Course and Cancer Risk: Is Evidence Sufficient to Act?

Authors:  Graham A Colditz
Journal:  J Natl Cancer Inst       Date:  2022-03-08       Impact factor: 11.816

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

Authors:  Hannah Oh; Lusine Yaghjyan; Rebecca J Austin-Datta; Yujing J Heng; Gabrielle M Baker; Korsuk Sirinukunwattana; Adithya D Vellal; Laura C Collins; Divya Murthy; A Heather Eliassen; Bernard A Rosner; Rulla M Tamimi
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-12-07       Impact factor: 4.090

6.  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

7.  Joanne Knight Breast Health Cohort at Siteman Cancer Center.

Authors:  Graham A Colditz; Debbie L Bennett; Jennifer Tappenden; Courtney Beers; Nicole Ackermann; Ningying Wu; Jingqin Luo; Sarah Humble; Erin Linnenbringer; Kia Davis; Shu Jiang; Adetunji T Toriola
Journal:  Cancer Causes Control       Date:  2022-01-21       Impact factor: 2.506

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