Literature DB >> 28732538

Consistency, now what?

Mary Beth Terry1,2.   

Abstract

Entities:  

Keywords:  Adolescence; Body size; Breast cancer

Mesh:

Year:  2017        PMID: 28732538      PMCID: PMC5521159          DOI: 10.1186/s13058-017-0869-7

Source DB:  PubMed          Journal:  Breast Cancer Res        ISSN: 1465-5411            Impact factor:   6.466


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In epidemiology, inconsistencies are quite common, consistency less so. In this issue of Breast Cancer Research, Shawon and colleagues provide more evidence of consistency for the inverse associations between childhood and adolescent body size and breast cancer risk [1]. Consistent with previous literature based on both case-control and cohort studies (e.g., [2-4]), they observe an inverse association between larger body size at age 7 and 18 years and breast cancer risk in over 35,000 women including over 6700 women with breast cancer. Their study, by pooling data from two individual studies, is larger than most allowing greater precision in estimating separate effects by subgroups. The similarity of their findings between both estrogen receptor (ER)-positive and ER-negative breast cancers and in pre- and postmenopausal women suggests that the inverse association with childhood body size and breast cancer risk is applicable across the spectrum of underlying breast cancer risk and not specific to tumor subtypes more commonly seen in young women. The consistency observed in the study subgroups builds on a literature that was already consistent across study designs and with breast cancer risk and two of its strongest risk factors, benign breast disease [5] and mammographic density [6]. Shawon and colleagues [1] use pictograms, previously validated [7] by others with fair to good correlation. In addition, the main comparison in epidemiology, as with Shawon and colleagues, is often between the highest and lowest categories where the error is substantially less than adjacent categories. Pictograms can also be compared with questions about relative comparisons, and Robinson and colleagues reported differences by race in the responses to recalled body size when using absolute categories from pictograms but saw similar inverse associations with adolescent body size when making references to peer group [8]. Inverse associations with breast cancer risk have also been seen for relative comparison (e.g., were you heavier/shorter, taller/lighter than your peers at a particular age) without accompanying pictograms [2]. Importantly, Ahlgren et al. [9] reported inverse associations with breast cancer risk when using school records. Thus, the observed inverse association is robust and consistently seen regardless of the types of measurements. Epidemiologic inference, particularly with observational studies, can be enhanced by repeated measures. Shawon and colleagues observed a 10% reduction in breast cancer risk for those who reduced a major body size category from 7 to 18 years [1], although only 15% changed a major category of body size. A similar reduction in breast cancer risk from reducing body size categories over adolescence was also seen by Baer et al. [4], but when Baer and colleagues further adjusted for body size category at the time of the first measurement there was no longer any association highlighting the methodologic challenge of making inference about change from recalled data where stability in body size may be partially explained by consistent responses in category. Prospective studies that measure childhood and adolescent body size changes are greatly needed to examine whether changes in growth patterns increase or decrease risk over adolescence. The consistent inverse association between early-life body size and breast cancer risk is matched by a similarly consistent association between larger adult body size and increased breast cancer risk. Given the positive association between large body size in adulthood and breast cancer as well as many other cancers and chronic diseases, and the fact that adult body size is shaped by growth trajectories much earlier in life [10], the consistent inverse association with larger body size during childhood and adolescence has largely been ignored from a public health perspective. Unraveling the opposing effects of body size on breast cancer risk requires more evidence from in vitro and animal studies as well as prospective studies in humans that can measure changes in breast tissue characteristics. There exists a growing and compelling set of laboratory data supporting the mechanisms between weight gain and metabolically rich environments in increasing breast cancer risk including inflammation and metabolic processes related to cancer risk and changes to epigenetically regulated genes like BRCA1 [11]. Recently the ability to measure normal changes to breast tissue across adolescence in a non-invasive way has become possible [12]. Interestingly, while increased glucose and nutrients may alter the ability of BRCA1 to function as a tumor suppressor [11], pre-pubertal estrogen exposure may increase the ability of key breast cancer susceptibility genes to decrease breast cancer risk through cellular differentiation [13]. Thus overweight girls, even though they experience an earlier puberty, may have increased breast cell differentiation from pre-pubertal estrogen exposure converted from androgens in their adipose tissue. Epidemiologic studies have helped to rule out menstrual cycle abnormalities as another hypothesis of why overweight adolescent girls may have a decreased risk of breast cancer [14]. Much still needs to be known about the role of the pre-pubertal environment in shaping breast cancer risk and prospective studies that collect pre-pubertal biospecimens and can follow girls throughout adolescence are needed to examine how hormonal, metabolic, and growth factors relate to changes at the breast tissue level. A key link to explaining the inverse association may be through the growth of dense tissue and changes to the architecture surrounding the dense tissue which develops and rapidly grows throughout adolescence [15]. In addition to measuring childhood and adolescent growth prospectively and using pre-pubertal biospecimens to measure whether biomarkers of the pre-pubertal environment help to explain differences in breast tissue characteristics based on body size, there remains another piece of the puzzle that needs to be completed. Specifically, it is unclear whether the breast cancer risk in girls that are larger in childhood and adolescence and are large at birth and infancy differs from the risk in girls who start small and grow rapidly. The inverse association between adolescent body size and breast cancer risk may not be apparent for the former [3]. Epidemiology in its search for consistency is always at its best when driven by questions that arise from inconsistencies and an appreciation of the fact that exposures that operate in one way at a time in life may work in different ways across the life-course as the organs that affect disease etiology are evolving and developing and changing in form and function.
  14 in total

1.  Childhood body mass index and adult mammographic density measures that predict breast cancer risk.

Authors:  John L Hopper; Tuong L Nguyen; Jennifer Stone; Kelly Aujard; Melanie C Matheson; Michael J Abramson; John A Burgess; E Haydn Walters; Gillian S Dite; Minh Bui; Christopher Evans; Enes Makalic; Daniel F Schmidt; Gail Ward; Mark A Jenkins; Graham G Giles; Shyamali C Dharmage; Carmel Apicella
Journal:  Breast Cancer Res Treat       Date:  2016-02-23       Impact factor: 4.872

2.  Maternal and Early Childhood Determinants of Women's Body Size in Midlife: Overall Cohort and Sibling Analyses.

Authors:  Wietske A Ester; Lauren C Houghton; L H Lumey; Karin B Michels; Hans W Hoek; Ying Wei; Ezra S Susser; Barbara A Cohn; Mary Beth Terry
Journal:  Am J Epidemiol       Date:  2017-03-01       Impact factor: 4.897

3.  Longitudinal study on the role of body size in premenopausal breast cancer.

Authors:  Karin B Michels; Kathryn L Terry; Walter C Willett
Journal:  Arch Intern Med       Date:  2006-11-27

4.  Remote recall of childhood height, weight, and body build by elderly subjects.

Authors:  A Must; W C Willett; W H Dietz
Journal:  Am J Epidemiol       Date:  1993-07-01       Impact factor: 4.897

5.  Prepubertal estradiol and genistein exposures up-regulate BRCA1 mRNA and reduce mammary tumorigenesis.

Authors:  Anna Cabanes; Mingyue Wang; Susan Olivo; Sonia DeAssis; Jan-Ake Gustafsson; Galam Khan; Leena Hilakivi-Clarke
Journal:  Carcinogenesis       Date:  2004-01-16       Impact factor: 4.944

6.  Body fatness during childhood and adolescence and incidence of breast cancer in premenopausal women: a prospective cohort study.

Authors:  Heather J Baer; Graham A Colditz; Bernard Rosner; Karin B Michels; Janet W Rich-Edwards; David J Hunter; Walter C Willett
Journal:  Breast Cancer Res       Date:  2005-02-18       Impact factor: 6.466

7.  Risk of breast cancer in young women in relation to body size and weight gain in adolescence and early adulthood.

Authors:  R J Coates; R J Uhler; H I Hall; N Potischman; L A Brinton; R Ballard-Barbash; M D Gammon; D R Brogan; J R Daling; K E Malone; J B Schoenberg; C A Swanson
Journal:  Br J Cancer       Date:  1999-09       Impact factor: 7.640

8.  Non-invasive optical spectroscopic monitoring of breast development during puberty.

Authors:  Lothar Lilge; Mary Beth Terry; Jane Walter; Dushanthi Pinnaduwage; Gord Glendon; Danielle Hanna; Mai-Liis Tammemagi; Angela Bradbury; Saundra Buys; Mary Daly; Esther M John; Julia A Knight; Irene L Andrulis
Journal:  Breast Cancer Res       Date:  2017-02-06       Impact factor: 6.466

9.  Genome-wide profiles of CtBP link metabolism with genome stability and epithelial reprogramming in breast cancer.

Authors:  Li-Jun Di; Jung S Byun; Madeline M Wong; Clay Wakano; Tara Taylor; Sven Bilke; Songjoon Baek; Kent Hunter; Howard Yang; Maxwell Lee; Cecilia Zvosec; Galina Khramtsova; Fan Cheng; Charles M Perou; C Ryan Miller; Rachel Raab; Olufunmilayo I Olopade; Kevin Gardner
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

Review 10.  Raised mammographic density: causative mechanisms and biological consequences.

Authors:  Michael J Sherratt; James C McConnell; Charles H Streuli
Journal:  Breast Cancer Res       Date:  2016-05-03       Impact factor: 6.466

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  5 in total

1.  Childhood body size and midlife mammographic breast density in foreign-born and U.S.-born women in New York City.

Authors:  Shweta Athilat; Cynthia Joe; Carmen B Rodriguez; Mary Beth Terry; Parisa Tehranifar
Journal:  Ann Epidemiol       Date:  2018-08-18       Impact factor: 3.797

2.  Do Birth Weight and Weight Gain During Infancy and Early Childhood Explain Variation in Mammographic Density in Women in Midlife? Results From Cohort and Sibling Analyses.

Authors:  Mary Beth Terry; Barbara A Cohn; Mandy Goldberg; Julie D Flom; Ying Wei; Lauren C Houghton; Parisa Tehranifar; Jasmine A McDonald; Angeline Protacio; Piera Cirillo; Karin B Michels
Journal:  Am J Epidemiol       Date:  2019-02-01       Impact factor: 4.897

3.  Age-specific breast cancer risk by body mass index and familial risk: prospective family study cohort (ProF-SC).

Authors:  John L Hopper; Gillian S Dite; Robert J MacInnis; Yuyan Liao; Nur Zeinomar; Julia A Knight; Melissa C Southey; Roger L Milne; Wendy K Chung; Graham G Giles; Jeanine M Genkinger; Sue-Anne McLachlan; Michael L Friedlander; Antonis C Antoniou; Prue C Weideman; Gord Glendon; Stephanie Nesci; Irene L Andrulis; Saundra S Buys; Mary B Daly; Esther M John; Kelly Anne Phillips; Mary Beth Terry
Journal:  Breast Cancer Res       Date:  2018-11-03       Impact factor: 6.466

4.  Anthropometry, body shape in early-life and risk of premenopausal breast cancer among Latin American women: results from the PRECAMA study.

Authors:  Mathilde His; Carine Biessy; Gabriela Torres-Mejía; Angélica Ángeles-Llerenas; Isabel Alvarado-Cabrero; Gloria Inés Sánchez; Mauricio Borrero; Carolina Porras; Ana Cecilia Rodriguez; Maria Luisa Garmendia; Magali Olivier; Peggy L Porter; MingGang Lin; Marc J Gunter; Isabelle Romieu; Sabina Rinaldi
Journal:  Sci Rep       Date:  2020-02-10       Impact factor: 4.379

5.  Environmental Influences on Mammographic Breast Density in California: A Strategy to Reduce Breast Cancer Risk.

Authors:  Barbara A Cohn; Mary Beth Terry
Journal:  Int J Environ Res Public Health       Date:  2019-11-27       Impact factor: 3.390

  5 in total

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