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PMID: 23350064 Published · ppublish English Journal Article

Differential impact of body mass index and its change on the risk of breast cancer by molecular subtype: A case-control study in Japanese women.

SpringerPlus ·Vol. 1 ·No. 1 ·2012-12-00 ·Pages 39

Sueta A, Ito H, Islam T, Hosono S, Watanabe M, Hirose K, Fujita T, Yatabe Y, Iwata H, Tajima K, Tanaka H, Iwase H, Matsuo K

Abstract

Body mass index (BMI) is an independent risk factor for luminal-type breast cancer in Western populations. However, it is unclear whether the impact of BMI differs according to breast cancer subtype in Japanese populations. We conducted a case-control study with 715 cases and 1430 age- and menopausal status-matched controls to evaluate the associations of BMI and its change (from age 20 years to the current age) with breast cancer risk. We applied conditional logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Tumor subtypes were divided into four subtypes, namely the luminal, luminal/HER2, HER2-rich, and triple-negative subtypes. Current BMI and BMI change were positively associated with postmenopausal breast cancer risk. On stratified analysis by tumor subtype, we observed associations between current BMI and BMI change and postmenopausal breast cancer risk for the luminal subtype, with OR for each 1 kg/m(2) increase in current BMI of 1.14 (95% CI: 1.07 - 1.20) and the corresponding OR of BMI change of 1.16 (1.09 - 1.23) (each P(trend) < 0.001). Additionally, we found the same tendency for the triple-negative subtype, with the OR for a 1 kg/m(2) increase in current BMI of 1.21 (1.05 - 1.39) and that for BMI change of 1.18 (1.02 - 1.36) (P(trend) was 0.008 and 0.024, respectively). In premenopausal women, a suggestive inverse association was observed between BMI change and breast cancer risk for the luminal subtype only, with OR of BMI change of 0.93 (0.87 - 1.00, P(trend) = 0.054). No association was seen between BMI at age 20 years and risk of any tumor subtype. In conclusion, BMI and its change are associated with the risk of both luminal and triple-negative breast cancer among postmenopausal Japanese women. These findings suggest the etiological heterogeneity of breast cancer among tumor subtypes. The online version of this article (doi:10.1186/2193-1801-1-39) contains supplementary material, which is available to authorized users.

Authors & Affiliations
13 authors, click to expand affiliations / ORCID
Sueta Aiko
Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, 1-1, Kanokoden, Chikusa-ku, Nagoya, 464-8681 Japan ; Department of Breast and Endocrine Surgery, Kumamoto University Graduate School of Medical Science, 1-1-1, Honjo, Kumamoto, 860-8556 Japan.
Ito Hidemi
Islam Tania
Hosono Satoyo
Watanabe Miki
Hirose Kaoru
Fujita Takashi
Yatabe Yasushi
Iwata Hiroji
Tajima Kazuo
Tanaka Hideo
Iwase Hirotaka
Matsuo Keitaro
References (38)
38 references, click to expand
  1. Adult weight change and risk of postmenopausal breast cancer.
    JAMA. 2006 Jul 12;296(2):193-201 PMID: 16835425
  2. The role of oestrogens and progestagens in the epidemiology and prevention of breast cancer.
    Eur J Cancer Clin Oncol. 1988 Jan;24(1):29-43 PMID: 3276531
  3. Body fatness at young ages and risk of breast cancer throughout life.
    Am J Epidemiol. 2010 Jun 1;171(11):1183-94 PMID: 20460303
  4. Body weight at age 20 years, subsequent weight change and breast cancer risk defined by estrogen and progesterone receptor status--the Japan public health center-based prospective study.
    Int J Cancer. 2011 Sep 1;129(5):1214-24 PMID: 21064092
  5. Molecular portraits of human breast tumours.
    Nature. 2000 Aug 17;406(6797):747-52 PMID: 10963602
  6. Traditional breast cancer risk factors in relation to molecular subtypes of breast cancer.
    Breast Cancer Res Treat. 2012 Jan;131(1):159-67 PMID: 21830014
  7. Adult weight gain in relation to breast cancer risk by estrogen and progesterone receptor status: a meta-analysis.
    Breast Cancer Res Treat. 2010 Oct;123(3):641-9 PMID: 20711809
  8. Differences in risk factors for breast cancer molecular subtypes in a population-based study.
    Cancer Epidemiol Biomarkers Prev. 2007 Mar;16(3):439-43 PMID: 17372238
  9. Adult body size, hormone receptor status, and premenopausal breast cancer risk in a multiethnic population: the San Francisco Bay Area breast cancer study.
    Am J Epidemiol. 2011 Jan 15;173(2):201-16 PMID: 21084558
  10. Associations of breast cancer risk factors with tumor subtypes: a pooled analysis from the Breast Cancer Association Consortium studies.
    J Natl Cancer Inst. 2011 Feb 2;103(3):250-63 PMID: 21191117
  11. Long-term weight change and breast cancer risk: the European prospective investigation into cancer and nutrition (EPIC).
    Br J Cancer. 2005 Sep 5;93(5):582-9 PMID: 16136032
  12. Changes in body mass index by birth cohort in Japanese adults: results from the National Nutrition Survey of Japan 1956-2005.
    Int J Epidemiol. 2009 Feb;38(1):83-92 PMID: 18782894
  13. Breast cancer classification and prognosis based on gene expression profiles from a population-based study.
    Proc Natl Acad Sci U S A. 2003 Sep 2;100(18):10393-8 PMID: 12917485
  14. Upper abdominal obesity, insulin resistance and breast cancer risk.
    Int J Obes Relat Metab Disord. 2002 Jun;26(6):747-53 PMID: 12037643
  15. Weight at birth and adolescence and premenopausal breast cancer risk in a low-risk population.
    Br J Cancer. 2002 Jan 7;86(1):84-8 PMID: 11857016
  16. Reversal of relation between body mass and endogenous estrogen concentrations with menopausal status.
    J Natl Cancer Inst. 1996 Jun 5;88(11):756-8 PMID: 8637031
  17. Adult weight change and incidence of premenopausal breast cancer.
    Int J Cancer. 2012 Feb 15;130(4):902-9 PMID: 21413008
  18. Epidemiological features of first-visit outpatients in Japan: comparison with general population and variation by sex, age, and season.
    J Clin Epidemiol. 1997 Jan;50(1):69-77 PMID: 9048692
  19. Adult weight gain and histopathologic characteristics of breast cancer among postmenopausal women.
    Cancer. 2006 Jul 1;107(1):12-21 PMID: 16718671
  20. Exposures in childhood, adolescence and early adulthood and breast cancer risk: a systematic review of the literature.
    Breast Cancer Res Treat. 2003 Mar;78(2):223-76 PMID: 12725422
  21. Lifetime adult weight gain, central adiposity, and the risk of pre- and postmenopausal breast cancer in the Western New York exposures and breast cancer study.
    Int J Cancer. 2006 Dec 15;119(12):2931-7 PMID: 17016824
  22. Insulin-like growth factor-dependent proliferation and survival of triple-negative breast cancer cells: implications for therapy.
    Neoplasia. 2011 Jun;13(6):504-15 PMID: 21677874
  23. A prospective study of body size in different periods of life and risk of premenopausal breast cancer.
    Cancer Epidemiol Biomarkers Prev. 2004 Jul;13(7):1121-7 PMID: 15247122
  24. Adiposity, adult weight change and breast cancer risk in postmenopausal Japanese women: the Miyagi Cohort Study.
    Br J Cancer. 2010 Oct 26;103(9):1443-7 PMID: 20842123
  25. Adipose tissue tumor necrosis factor and interleukin-6 expression in human obesity and insulin resistance.
    Am J Physiol Endocrinol Metab. 2001 May;280(5):E745-51 PMID: 11287357
  26. Circulating concentrations of insulin-like growth factor-I and risk of breast cancer.
    Lancet. 1998 May 9;351(9113):1393-6 PMID: 9593409
  27. Gene-environment Interactions and Polymorphism Studies of Cancer Risk in the Hospital-based Epidemiologic Research Program at Aichi Cancer Center II (HERPACC-II).
    Asian Pac J Cancer Prev. 2001;2(2):99-107 PMID: 12718640
  28. The increase of female breast cancer incidence in Japan: emergence of birth cohort effect.
    Int J Cancer. 2004 Mar 1;108(6):901-6 PMID: 14712495
  29. Reproductive and hormonal risk factors for luminal, HER2-overexpressing, and triple-negative breast cancer in Japanese women.
    Ann Oncol. 2012 Sep;23(9):2435-2441 PMID: 22328736
  30. Cancer incidence and incidence rates in Japan in 2005: based on data from 12 population-based cancer registries in the Monitoring of Cancer Incidence in Japan (MCIJ) project.
    Jpn J Clin Oncol. 2011 Jan;41(1):139-47 PMID: 20819836
  31. Body size, physical activity, and risk of triple-negative and estrogen receptor-positive breast cancer.
    Cancer Epidemiol Biomarkers Prev. 2011 Mar;20(3):454-63 PMID: 21364029
  32. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications.
    Proc Natl Acad Sci U S A. 2001 Sep 11;98(19):10869-74 PMID: 11553815
  33. The association of metabolic syndrome with triple-negative breast cancer.
    Breast Cancer Res Treat. 2010 Jun;121(2):479-83 PMID: 19851862
  34. Dual effects of weight and weight gain on breast cancer risk.
    JAMA. 1997 Nov 5;278(17):1407-11 PMID: 9355998
  35. Circulating levels of insulin-like growth factors, their binding proteins, and breast cancer risk.
    Cancer Epidemiol Biomarkers Prev. 2005 Mar;14(3):699-704 PMID: 15767352
  36. Body size and risk of luminal, HER2-overexpressing, and triple-negative breast cancer in postmenopausal women.
    Cancer Epidemiol Biomarkers Prev. 2008 Aug;17(8):2078-86 PMID: 18664548
  37. A Model of Practical Cancer Prevention for Out-patients Visiting a Hospital: the Hospital-based Epidemiologic Research Program at Aichi Cancer Center (HERPACC).
    Asian Pac J Cancer Prev. 2000;1(1):35-47 PMID: 12718687
  38. Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study.
    JAMA. 2006 Jun 7;295(21):2492-502 PMID: 16757721
Article Info
Journal
SpringerPlus
Abbr.
Springerplus
ISSN
2193-1801
Published
2012-12-00
Epub
2012-00-23
Pages
39
Language
English
Region
Switzerland
NLM ID
101597967
PMCID
PMC3550694
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