Risk factors for breast cancer and perspective of research of risk prediction models in China_Chinese Journal of Evidence-Based Medicine

Authors：

 LI Jiayuan

West China School of Public Health & West China Fourth Hospital, Sichuan University, Chengdu 610041, P.R.China;

Corresponding author：

LI Jiayuan, Email: lijiayuan@scu.edu.cn

Keywords：

Breast cancer; Risk factor; Risk prediction model

DOI：

10.7507/1672-2531.201907141

Video：

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Breast cancer is the most common malignant tumor among Chinese females. We should focus on the research of risk assessment models of gene-environmental factors to guide primary and secondary prevention, and this public health strategy is expected to maximize the health benefits of the population. This paper introduces previous studies of risk factors and predictive models for Chinese breast cancer and provides three points for future research. Firstly, we should explore the specific risk factors related to breast cancer risk in Chinese population, such as overweight or reproductive control measures. Secondly, we should use evidence-based and machine learning methods to select environmental-genetic risk factors. Finally, we should set up an information collective platform for breast cancer risk factors to test the validity of prediction models based on a long-term follow-up cohort of Chinese females.

Citation： LI Jiayuan. Risk factors for breast cancer and perspective of research of risk prediction models in China. Chinese Journal of Evidence-Based Medicine, 2020, 20(7): 745-748. doi: 10.7507/1672-2531.201907141 Copy

1.	Chen W, Sun K, Zheng R, et al. Cancer incidence and mortality in China, 2014. Chin J Cancer Res, 2018, 30(1): 1-12.
2.	Chen W, Zheng R, Baade PD, et al. Cancer statistics in China, 2015. CA Cancer J Clin, 2016, 66(2): 115-132.
3.	Fan L, Strasser-Weippl K, Li JJ, et al. Breast cancer in China. Lancet Oncol, 2014, 15(7): e279-e289.
4.	Li J, Zhang BN, Fan JH, et al. A nation-wide multicenter 10-year (1999-2008) retrospective clinical epidemiological study of female breast cancer in China. BMC Cancer, 2011, 11: 364.
5.	国家疾病预防控制中心. 关于印发中国癌症防治三年行动计划(2015-2017年)的通知, 2015-09-10. Available at: http://www.nhc.gov.cn/jkj/s5878/201509/656437bc5c7e4cd0afb581de85be998a.shtml.
6.	国务院. 关于实施健康中国行动的意见, 2019-07-15. Available at: http://www.nhc.gov.cn/guihuaxxs/s7824k/201907/511f490925994df99864d606a13eaa73.shtml.
7.	徐兵河. 乳腺癌靶向治疗原则与实践(第一版). 北京: 人民卫生出版社, 2015: 14-39.
8.	Lee H, Li JY, Fan JH, et al. Risk factors for breast cancer among Chinese women: a 10-year nationwide multicenter cross-sectional study. J Epid, 2014, 24(1): 67-76.
9.	Zhang Q, Liu LY, Wang F, et al. The changes in female physical and childbearing characteristics in China and potential association with risk of breast cancer. BMC Public Health, 2012, 12: 368.
10.	李琦, 高玉堂, 刘大可, 等. 上海市中老年妇女乳腺癌危险因素的出生队列分析. 广州: 第三届中国肿瘤学术大会教育论文集, 2004: 5.
11.	王映青. 基于队列人群的乳腺癌危险因素病例对照研究. 杭州: 浙江大学, 2006.
12.	陶苹, 胡耀月, 黄源, 等. 亚裔女性乳腺癌危险因素的Meta分析. 中华流行病学杂志, 2011, 32(2): 164-169.
13.	周晓彬, 张健. 中国女性被动吸烟与乳腺癌发病关系的Meta分析. 中国临床康复, 2006, 10(16): 6-8.
14.	Zhong X, Dong Z, Dong H, et al. Prevalence and prognostic role of BRCA1/2 variants in unselected chinese breast cancer patients. PLoS One, 2016, 11(6): e0156789.
15.	Amir E, Freedman OC, Seruga B, et al. Assessing women at high risk of breast cancer: a review of risk assessment models. J Natl Cancer Inst, 2010, 102(10): 680-691.
16.	Zhang Y, Long J, Lu W, et al. Rare coding variants and breast cancer risk: evaluation of susceptibility Loci identified in genome-wide association studies. Cancer Epid Bio Prev, 2014, 23(4): 622-628.
17.	Saslow D, Boetes C, Burke W, et al. American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography. CA Cancer J Clin, 2007, 57: 75-89.
18.	Smith RA, Manassaram-Baptiste D, Brooks D, et al. Cancer screening in the United States, 2015: a review of current American cancer society guidelines and current issues in cancer screening. CA Cancer J Clin, 2015, 65(1): 30-54.
19.	Bevers TB, Helvie M, Bonaccio E, et al. Breast cancer screening and diagnosis, version 3.2018, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw, 2018, 16(11): 1362-1389.
20.	DeSantis CE, Fedewa SA, Goding S A, et al. Breast cancer statistics, 2015: Convergence of incidence rates between black and white women. CA Cancer J Clin, 2016, 66(1): 31-42.
21.	国家卫生健康委. 对十三届全国人大一次会议第5491号建议的答复, 2019-01-03. Available at: http://www.nhc.gov.cn/wjw/jiany/201901/daed9d32fd25489fbdc12ba0634ce8b3.shtml.
22.	国家卫生健康委. 对十三届全国人大一次会议第2364号建议的答复, 2018-12-27. Available at: http://www.nhc.gov.cn/wjw/jiany/201812/f4411e8294604f79a511cbadb262f6a2.shtml.
23.	Huang Y, Dai H, Song F, et al. Preliminary effectiveness of breast cancer screening among 1.22 million Chinese females and different cancer patterns between urban and rural women. Sci Rep, 2016, 6(1): 39459.
24.	WHO. Global nutrition monitoring framework. Available at: http://apps.who.int/nutrition/ndscape/report.
25.	Liu CR, Li Q, Hou C, et al. Changes in body mass index, leptin, and leptin receptor polymorphisms and breast cancer risk. DNA Cell Biol, 2018, 37(3): 182-188.
26.	郭兰伟. 肥胖相关身体测量指标与恶性肿瘤发病风险的前瞻性队列研究. 北京: 北京协和医学院, 2014.
27.	张琪, 钱云, 靳子义, 等. 超重肥胖与中国女性乳腺癌关系的Meta分析. 中华预防医学杂志, 2013, 47(4): 358-362.
28.	Sun W, Shi L, Ye Z, et al. Association between the change in body mass index from early adulthood to midlife and subsequent type 2 diabetes mellitus. Obesity, 2016, 24(3): 703-709.
29.	Xuelian Y, Fang Y, Can H, et al. Induced abortion, birth control methods, and breast cancer risk: a case-control study in China. J Epid, 2019, 29(5): 173-179.
30.	Orsini N, Bellocco R, Greenland S, et al. Generalized least squares for trend estimation of summarized dose-response data. Stata J, 2006, 6(1): 40-57.
31.	潘晓平, 金曦, 丁辉, 等. 北京、广东两地妇女乳腺癌危险度评价模型的初步研究. 中国妇幼保健, 2009, 24(11): 1469-1471.
32.	Zheng W, Wen W, Gao YT, et al. Genetic and clinical predictors for breast cancer risk assessment and stratification among Chinese women. JNCI, 2010, 102(13): 972-981.
33.	Wang L, Liu L, Lou Z, et al. Risk prediction for breast cancer in Han Chinese women based on a cause-specific Hazard model. BMC Cancer, 2019, 19(1): 128.
34.	Gail MH, Brinton LA, Byar DP, et al. Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst, 1989, 81(24): 1879-1886.

1. Chen W, Sun K, Zheng R, et al. Cancer incidence and mortality in China, 2014. Chin J Cancer Res, 2018, 30(1): 1-12.
2. Chen W, Zheng R, Baade PD, et al. Cancer statistics in China, 2015. CA Cancer J Clin, 2016, 66(2): 115-132.
3. Fan L, Strasser-Weippl K, Li JJ, et al. Breast cancer in China. Lancet Oncol, 2014, 15(7): e279-e289.
4. Li J, Zhang BN, Fan JH, et al. A nation-wide multicenter 10-year (1999-2008) retrospective clinical epidemiological study of female breast cancer in China. BMC Cancer, 2011, 11: 364.
5. 国家疾病预防控制中心. 关于印发中国癌症防治三年行动计划(2015-2017年)的通知, 2015-09-10. Available at: http://www.nhc.gov.cn/jkj/s5878/201509/656437bc5c7e4cd0afb581de85be998a.shtml.
6. 国务院. 关于实施健康中国行动的意见, 2019-07-15. Available at: http://www.nhc.gov.cn/guihuaxxs/s7824k/201907/511f490925994df99864d606a13eaa73.shtml.
7. 徐兵河. 乳腺癌靶向治疗原则与实践(第一版). 北京: 人民卫生出版社, 2015: 14-39.
8. Lee H, Li JY, Fan JH, et al. Risk factors for breast cancer among Chinese women: a 10-year nationwide multicenter cross-sectional study. J Epid, 2014, 24(1): 67-76.
9. Zhang Q, Liu LY, Wang F, et al. The changes in female physical and childbearing characteristics in China and potential association with risk of breast cancer. BMC Public Health, 2012, 12: 368.
10. 李琦, 高玉堂, 刘大可, 等. 上海市中老年妇女乳腺癌危险因素的出生队列分析. 广州: 第三届中国肿瘤学术大会教育论文集, 2004: 5.
11. 王映青. 基于队列人群的乳腺癌危险因素病例对照研究. 杭州: 浙江大学, 2006.
12. 陶苹, 胡耀月, 黄源, 等. 亚裔女性乳腺癌危险因素的Meta分析. 中华流行病学杂志, 2011, 32(2): 164-169.
13. 周晓彬, 张健. 中国女性被动吸烟与乳腺癌发病关系的Meta分析. 中国临床康复, 2006, 10(16): 6-8.
14. Zhong X, Dong Z, Dong H, et al. Prevalence and prognostic role of BRCA1/2 variants in unselected chinese breast cancer patients. PLoS One, 2016, 11(6): e0156789.
15. Amir E, Freedman OC, Seruga B, et al. Assessing women at high risk of breast cancer: a review of risk assessment models. J Natl Cancer Inst, 2010, 102(10): 680-691.
16. Zhang Y, Long J, Lu W, et al. Rare coding variants and breast cancer risk: evaluation of susceptibility Loci identified in genome-wide association studies. Cancer Epid Bio Prev, 2014, 23(4): 622-628.
17. Saslow D, Boetes C, Burke W, et al. American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography. CA Cancer J Clin, 2007, 57: 75-89.
18. Smith RA, Manassaram-Baptiste D, Brooks D, et al. Cancer screening in the United States, 2015: a review of current American cancer society guidelines and current issues in cancer screening. CA Cancer J Clin, 2015, 65(1): 30-54.
19. Bevers TB, Helvie M, Bonaccio E, et al. Breast cancer screening and diagnosis, version 3.2018, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw, 2018, 16(11): 1362-1389.
20. DeSantis CE, Fedewa SA, Goding S A, et al. Breast cancer statistics, 2015: Convergence of incidence rates between black and white women. CA Cancer J Clin, 2016, 66(1): 31-42.
21. 国家卫生健康委. 对十三届全国人大一次会议第5491号建议的答复, 2019-01-03. Available at: http://www.nhc.gov.cn/wjw/jiany/201901/daed9d32fd25489fbdc12ba0634ce8b3.shtml.
22. 国家卫生健康委. 对十三届全国人大一次会议第2364号建议的答复, 2018-12-27. Available at: http://www.nhc.gov.cn/wjw/jiany/201812/f4411e8294604f79a511cbadb262f6a2.shtml.
23. Huang Y, Dai H, Song F, et al. Preliminary effectiveness of breast cancer screening among 1.22 million Chinese females and different cancer patterns between urban and rural women. Sci Rep, 2016, 6(1): 39459.
24. WHO. Global nutrition monitoring framework. Available at: http://apps.who.int/nutrition/ndscape/report.
25. Liu CR, Li Q, Hou C, et al. Changes in body mass index, leptin, and leptin receptor polymorphisms and breast cancer risk. DNA Cell Biol, 2018, 37(3): 182-188.
26. 郭兰伟. 肥胖相关身体测量指标与恶性肿瘤发病风险的前瞻性队列研究. 北京: 北京协和医学院, 2014.
27. 张琪, 钱云, 靳子义, 等. 超重肥胖与中国女性乳腺癌关系的Meta分析. 中华预防医学杂志, 2013, 47(4): 358-362.
28. Sun W, Shi L, Ye Z, et al. Association between the change in body mass index from early adulthood to midlife and subsequent type 2 diabetes mellitus. Obesity, 2016, 24(3): 703-709.
29. Xuelian Y, Fang Y, Can H, et al. Induced abortion, birth control methods, and breast cancer risk: a case-control study in China. J Epid, 2019, 29(5): 173-179.
30. Orsini N, Bellocco R, Greenland S, et al. Generalized least squares for trend estimation of summarized dose-response data. Stata J, 2006, 6(1): 40-57.
31. 潘晓平, 金曦, 丁辉, 等. 北京、广东两地妇女乳腺癌危险度评价模型的初步研究. 中国妇幼保健, 2009, 24(11): 1469-1471.
32. Zheng W, Wen W, Gao YT, et al. Genetic and clinical predictors for breast cancer risk assessment and stratification among Chinese women. JNCI, 2010, 102(13): 972-981.
33. Wang L, Liu L, Lou Z, et al. Risk prediction for breast cancer in Han Chinese women based on a cause-specific Hazard model. BMC Cancer, 2019, 19(1): 128.
34. Gail MH, Brinton LA, Byar DP, et al. Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst, 1989, 81(24): 1879-1886.

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