Volume 2 Issue 1
Jan.  2011
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Article Contents
Ya-li XU, Qiang SUN, Guang-liang SHAN, Jin Zhang, Hai-bo Liao, Shi-yong Li, Jun JIANG, Zhi-min Shao, Hong-chuan JIANG, Nian-chun SHEN, Yue SHI, Cheng-ze YU, Bao-ning ZHANG, Yan-hua CHEN, Xue-ning DUAN, Bo LI. Risk Factors of Breast Cancer in China: A Case-Control Study[J]. Medical Journal of Peking Union Medical College Hospital, 2011, 2(1): 7-14. doi: 10.3969/j.issn.1674-9081.2011.01.002
Citation: Ya-li XU, Qiang SUN, Guang-liang SHAN, Jin Zhang, Hai-bo Liao, Shi-yong Li, Jun JIANG, Zhi-min Shao, Hong-chuan JIANG, Nian-chun SHEN, Yue SHI, Cheng-ze YU, Bao-ning ZHANG, Yan-hua CHEN, Xue-ning DUAN, Bo LI. Risk Factors of Breast Cancer in China: A Case-Control Study[J]. Medical Journal of Peking Union Medical College Hospital, 2011, 2(1): 7-14. doi: 10.3969/j.issn.1674-9081.2011.01.002

Risk Factors of Breast Cancer in China: A Case-Control Study

doi: 10.3969/j.issn.1674-9081.2011.01.002
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  • Corresponding author: SUN Qiang Tel:010-88068140, E-mail:pumchsunqiang@126.com
  • Received Date: 2010-10-11
  • Publish Date: 2011-01-30
  •   Objective  To screen the risk factors associated with breast cancer among Chinese women, with an attempt to provide evidence for the evaluation of breast cancer risks among Chinese women on an individual level.  Methods  A case-control study on 416 breast cancer patients and 1156 age-and region-matched controls was conducted in 14 hospitals in 8 provinces/municipalities of China.Conditional logistic regression was applied to analyze the association between risk factors and breast cancer.  Results  The risk factors of breast cancer among Chinese women included higher body mass index(BMI ≥ 24)(OR=4.07, 95%CI:2.98-5.55), history of benign breast disease biopsy(OR=1.68, 95%CI:1.19-2.38), age of menarche ≥ 14 years(OR=1.41, 95%CI:1.07-1.87), psychological depression(for grade 1-4, OR=2.15, 95% CI:1.26-3.66;for grade 5-9, OR=3.48, 95% CI:2.03-5.95), menostasia(OR=2.22, 95% CI:1.50-3.28), family history of breast cancer(OR=1.72, 95%CI:1.15-2.58), and family history of cancer other than breast cancer(OR=1.55, 95%CI:1.22~1.98)(all P < 0.05 when compared between the 416 breast cancer patients and 1156 controls).Although use of oral contraceptives(OC)(OR=1.59, 95% CI:0.83-3.05)was associated with an increased risk of breast cancer, the difference was not statistically significant(P > 0.05).  Conclusions  Many risk factors including BMI ≥ 24, history of benign breast disease biopsy, age of menarche ≥ 14 years, psychological depression, menostasia, family history of breast cancer, and family history of cancer other than breast cancer may contribute to breast cancer among Chinese women.This research provides a basis for the individualized evaluation of risks of breast cancer and the population-based interventions in China.
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  • [1] Hoskins KF, Zwaagstra A, Ranz M.Validation of atool for identifying women athigh risk for here ditary breast cancer in population-basedscreening [J]. Cancer, 2006, 107: 1769-1776. doi:  10.1002/cncr.22202
    [2] Armstrong K, Eisen A, Weber WB.Assessing the risk of breast cancer[J].N Engl J Med, 2000, 342:564-571. doi:  10.1056/NEJM200002243420807
    [3] Domchek SM, Eisen A, Calzone K, et al.Application of breast cancer risk predictionmodels in clinical practice[J]. J Clin Oncol, 2003, 21:593-601. doi:  10.1200/JCO.2003.07.007
    [4] Freedman AN, Seminara D, Gail MH, et al.Cancer risk prediction models:a workshop on development, evaluation, and application[J].J Natl Cancer Inst, 2005, 97:715- 723. doi:  10.1093/jnci/dji128
    [5] van Asperen CJ, Jonker MA, Jacobi CE, et al.Risk estimation for healthy women from breast cancer families:new insights and new strategies[J].Cancer Epidemiol Biomarkers Prev, 2004, 13:87-93. doi:  10.1158/1055-9965.EPI-03-0090
    [6] Jacobi CE, deBock GH, Siegerink B, et al.Differences and similarities in breast cancer risk assessmentmodels in clinical practice:which model to choose? [J].Breast Cancer Res Treat, 2009, 115:381-390. doi:  10.1007/s10549-008-0070-x
    [7] Euhus DM.Understanding mathematical models for breast cancer risk assessment and counseling[J]. Breast J, 2001, 7:224-232. doi:  10.1046/j.1524-4741.2001.20012.x
    [8] Petram C, Ames RC, Sandhya P.Oral contraceptive use and the risk of breast cancer[J].Mayo Clin Proc, 2008, 83:86-91. doi:  10.4065/83.1.86
    [9] Sweeney C, Baumgartner KB, Byers T, et al.Reproductive history in relation to breast cancer risk among Hispanic and non-Hispanic white women[J].Cancer Causes Control, 2008, 19:391-401. doi:  10.1007/s10552-007-9098-1
    [10] Tjia J, Micco E, Armstrong K.Interest in breast cancer chemoprevention among older women[J].Breast Cancer Res Treat, 2008, 108:435-453. doi:  10.1007/s10549-007-9614-8
    [11] Euhus DM, Bu D, Ashfaq R, et al.Atypia and DNA methylation innipple duct lavage in relation to predicted breast cancer risk [J]. Cancer Epidemiol Biomarkers Prev, 2007, 16:1812-1821. doi:  10.1158/1055-9965.EPI-06-1034
    [12] Cazzaniga M, Severi G, Casadio C, et al.Atypia and Ki-67 expression from ductal lavage in women at different risk for breast cancer[J].Cancer Epidemiol Biomarkers Prev, 2006, 15:1311-1315. doi:  10.1158/1055-9965.EPI-05-0810
    [13] Brinton LA, Sherman ME, Carreon JD, et al.Recent trends in breast cancer among younger women in the United States [J].J Natl Cancer Inst, 2008, 100:1643-1648. doi:  10.1093/jnci/djn344
    [14] Vachon CM, vanGils CH, Sellers TA, et al.Mammographic density, breast cancer risk and risk prediction[J].Breast Cancer Res, 2007, 9:217-225. doi:  10.1186/bcr1829
    [15] Boyd NF, Guo H, Martin LJ, et al.Mammographic density and the risk and detection of breast cancer[J].N Engl J Med, 2007, 356:227-236. doi:  10.1056/NEJMoa062790
    [16] Barlow WE, White E, Ballard-Barbash R, et al.Prospective breast cancer risk prediction model for women under going screen in gmammo graphy[J].J Natl Cancer Inst, 2006, 98:1204-1214. doi:  10.1093/jnci/djj331
    [17] Rockhill B, Spiegelman D, Byrne C, et al.Model of breast cancer risk prediction and implications for chemoprevention [J].J Natl Cancer Inst, 2001, 93:358-366. doi:  10.1093/jnci/93.5.358
    [18] Palomares MR, Machia JR, Lehman CD, et al.Mammographic density correlation with gailmodel breast cancer risk estimates and component risk factors[J].Cancer Epidemiol Biomarkers Prev, 2006, 15:1324-1330. doi:  10.1158/1055-9965.EPI-05-0689
    [19] Anderson WF, Matsuno RK, Sherman ME, et al.Estimating age-specific breast cancer risks:a descriptive tool to identify age interactions[J].Cancer Causes Control, 2007, 18: 439-447. doi:  10.1007/s10552-006-0092-9
    [20] Santen RJ, Boyd NF, Chlebowski RT, et al.Breast cancer prevention collaborative group.critical assessment of new risk factors for breast cancer:considerations for development of an improved risk prediction model[J].Endocr Relat Cancer, 2007, 14:169-187. doi:  10.1677/ERC-06-0045
    [21] Chen J, Pee D, Ayyagari R, et al.Projecting absolute invasive breast cancer risk in white women with a model that included mammographic density[J].J Natl Cancer Inst, 2006, 98:1215-1226. doi:  10.1093/jnci/djj332
    [22] Kelemen LE, Pankratz VS, Sellers TA, et al.Age-specific trends inmammographic density the minnesota breast cancer family study[J].Am J Epidemiol, 2008, 167:1027- 1036. doi:  10.1093/aje/kwn063
    [23] Huo D, Adebamowo CA, Ogundiran TO, et al.Parity and breast feeding are protective against breast cancer in Nigerian women[J].British J Cancer, 2008, 98:992-996. doi:  10.1038/sj.bjc.6604275
    [24] Suzuki S, Kojima M, Tokudome S, et al.Japan Collaborative Cohort Study Group.Effect of physical activity on breast cancer risk:findings of the Japan Coll aborative Cohort Study [J].Cancer Epidemiol Biomarkers Prev, 2008, 17:3396-3401. doi:  10.1158/1055-9965.EPI-08-0497
    [25] Pirie K, Beral V, Peto R, et al.Million women study coll aborators, passive smoking and breast cancer in never smokers:prospective study and meta-analysis[J].Int J Epidemiol, 2008, 37:1069-1079. doi:  10.1093/ije/dyn110
    [26] Cui X, Dai Q, Tseng M, et al.Dietary patterns and breast cancer risk in the Shanghai breast Cancer Study[J].Cancer Epidemiol Biomarkers Prev, 2007, 16:1443-1448. doi:  10.1158/1055-9965.EPI-07-0059
    [27] Mahoney MC, Bevers T, Linos E, et al.Opportunities and strategies for breast cancer prevention through risk reduction [J].CA Cancer J Clin, 2008, 58:347-371. doi:  10.3322/CA.2008.0016
    [28] Wellisch DK, Lindberg NM.A psychological profile of depressed and nondepressed women at high risk for breast cancer[J].Psychosomatics, 2001, 42:330-336. doi:  10.1176/appi.psy.42.4.330
    [29] Mouw T, Koster A, Wright ME, et al.Education and risk of cancer in a large cohort of men and women in the United States[J].PLo S One, 2008, 3:e3639. doi:  10.1371/journal.pone.0003639
    [30] Bremnes Y, Ursin G, Bjurstam N, et al.Different measures of smoking exposure and mammographic density in postmenopausal Norwegian women:a cross-sectional study[J]. Breast Cancer Res, 2007, 9:R73. doi:  10.1186/bcr1782
    [31] Cardis E, Hall J, Tavtigian SV.Identification of women with an increased risk of developing radiation-induced breast cancer[J].Breast Cancer Research, 2007, 9:106. doi:  10.1186/bcr1733
    [32] Sant M, Francisci S, Capocaccia R, et al.Timetrends of breast cancer survival in Europe in relation to incidence and mortality[J].Int J Cancer, 2006, 119:2417-2422. doi:  10.1002/ijc.22160
    [33] Karliner LS, Napoles-Springer A, Kerlikowske K, et al. Missed opportunities:family history and behavioral risk factors in breast cancer risk assessment among a multiethnic group of women[J].J Gen Intern Med, 2007, 22:308- 314. doi:  10.1007/s11606-006-0087-y
    [34] Gail MH, Costantino JP.Validating and improvingmodels for projecting the absolute risk of breast cancer[J].J Natl Cancer Inst, 2001, 93:334-335. doi:  10.1093/jnci/93.5.334
    [35] Gail MH, Benichou J.Epidemiology and biostatistics program of the national cancer institute[J].J Natl Cancer Inst, 1994, 86:573-575. doi:  10.1093/jnci/86.8.573
    [36] Kilfoy BA, Zhang Y, Shu XO, et al.Family history of malignancies and risk of breast cancer:prospective data from the Shanghai women's health study[J].Cancer Causes Control, 2008, 19:1139-1145. doi:  10.1007/s10552-008-9181-2
    [37] Rosenberg L, Zhang Y, Coogan PF, et al.Acase-control study of oral contraceptive use and incident breast cancer [J].Am J Epidemiol, 2009, 169:473-479. http://www.zhangqiaokeyan.com/academic-journal-foreign_other_thesis/020418410846.html
    [38] Oerlemans ME, van den Akker M, Schuurman AG, et al.A meta-analysis on depression and subsequent cancer risk[J]. Clin Pract Epidemol Ment Health, 2007, 3:329. http://archive.biomedcentral.com/1745-0179/3/29
    [39] Wakai K, Kojima M, Nishio K, et al.For the JACC Study Group.Psychological attitudes and risk of breast cancer in Japan:aprospective study[J].Cancer Causes Control, 2007, 18:259-267. doi:  10.1007/s10552-006-0111-x
    [40] Ozmen V, Ozcinar B, Karanlik H, et al.Breast cancer risk factors in Turkish women-a University hospital based nested case control study[J].World J Surg Oncol, 2009, 7:37. doi:  10.1186/1477-7819-7-37
    [41] Wu MH, Chou YC, Chou WY, et al.Relationships between critical period of estrogen exposure and circulating levels of insulin-like growth factor-I(IGF-I) in breast cancer:Evidence from a case-control study[J].Int J Cancer, 2010, 126:508-514. doi:  10.1002/ijc.24722
    [42] Verkooijen HM, Rapiti E, Fioretta G, et al.Impact of a positive family history on diagnosis, management, and survival of breast cancer:different effects across socio-economic groups[J]. Cancer Causes Control, 2009, 20:1689- 1696. doi:  10.1007/s10552-009-9420-1
    [43] Folger SG, Marchbanks PA, McDonald JA, et al.Risk of breast cancer associated with short-term use of oral contraceptives[J].Cancer Causes Control, 2007, 18:189-198. doi:  10.1007/s10552-006-0086-7
    [44] Bondy ML, Newman LA.Assessing breast cancer risk:evolution of the Gail model[J].J Natl Cancer Inst, 2006, 98:1172-1173. doi:  10.1093/jnci/djj365
    [45] Adams-Campbell LL, Makambi KH, Palmer JR, et al.Diagnostic accuracy of the Gail model in the black women's health study[J].Breast J, 2007, 13:332-336. doi:  10.1111/j.1524-4741.2007.00439.x
    [46] Decarli A, Calza S, Masala G, et al.Gail model for prediction of absolute risk of invasive breast cancer:independent evaluation in the florence- European prospective investigation into cancer and nutrition cohort[J].J Natl Cancer Inst, 2006, 98:1686-1693. doi:  10.1093/jnci/djj463
    [47] Claus EB, Risch N, Thompson WD.Genetic analysis of breast cancer in the cancer and steroid hormone study[J]. Am J Hum Genet, 1991, 48:232-242. http://www.ncbi.nlm.nih.gov/pubmed/1990835
    [48] Fisher B, Costantino JP, Wickerham DL, et al.Tamoxifen for prevention of breast cancer:report of the national surgical adjuvant breast and bowel project P-1 study[J].J Natl Cancer Inst, 1998, 90:1371-1388. doi:  10.1093/jnci/90.18.1371
    [49] Jonker MA, Jacobi CE, Hoogendoorn WE, et al.Modeling familial clustered breast cancer using published data[J]. Cancer Epidemiol Biomarkers Prev, 2003, 12:1479-1485. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=9ff7fb32c963d6552fc3c37e035369b7
    [50] Antoniou AC, Pharoah PP, Smith P, et al.The BOADICEA model of genetic susceptibility to breast and ovarian cancer [J].Br J Cancer, 2004, 91:1580-1590. doi:  10.1038/sj.bjc.6602175
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