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.	國家疾病預防控制中心. 關于印發中國癌癥防治三年行動計劃(2015-2017年)的通知, 2015-09-10. Available at: http://www.nhc.gov.cn/jkj/s5878/201509/656437bc5c7e4cd0afb581de85be998a.shtml.
6.	國務院. 關于實施健康中國行動的意見, 2019-07-15. Available at: http://www.nhc.gov.cn/guihuaxxs/s7824k/201907/511f490925994df99864d606a13eaa73.shtml.
7.	徐兵河. 乳腺癌靶向治療原則與實踐(第一版). 北京: 人民衛生出版社, 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, 劉大可, 等. 上海市中老年婦女乳腺癌危險因素的出生隊列分析. 廣州: 第三屆中國腫瘤學術大會教育論文集, 2004: 5.
11.	王映青. 基于隊列人群的乳腺癌危險因素病例對照研究. 杭州: 浙江大學, 2006.
12.	陶蘋, 胡耀月, 黃源, 等. 亞裔女性乳腺癌危險因素的Meta分析. 中華流行病學雜志, 2011, 32(2): 164-169.
13.	周曉彬, 張健. 中國女性被動吸煙與乳腺癌發病關系的Meta分析. 中國臨床康復, 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.	國家衛生健康委. 對十三屆全國人大一次會議第5491號建議的答復, 2019-01-03. Available at: http://www.nhc.gov.cn/wjw/jiany/201901/daed9d32fd25489fbdc12ba0634ce8b3.shtml.
22.	國家衛生健康委. 對十三屆全國人大一次會議第2364號建議的答復, 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.	郭蘭偉. 肥胖相關身體測量指標與惡性腫瘤發病風險的前瞻性隊列研究. 北京: 北京協和醫學院, 2014.
27.	張琪, 錢云, 靳子義, 等. 超重肥胖與中國女性乳腺癌關系的Meta分析. 中華預防醫學雜志, 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.	潘曉平, 金曦, 丁輝, 等. 北京、廣東兩地婦女乳腺癌危險度評價模型的初步研究. 中國婦幼保健, 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. 國家疾病預防控制中心. 關于印發中國癌癥防治三年行動計劃(2015-2017年)的通知, 2015-09-10. Available at: http://www.nhc.gov.cn/jkj/s5878/201509/656437bc5c7e4cd0afb581de85be998a.shtml.
6. 國務院. 關于實施健康中國行動的意見, 2019-07-15. Available at: http://www.nhc.gov.cn/guihuaxxs/s7824k/201907/511f490925994df99864d606a13eaa73.shtml.
7. 徐兵河. 乳腺癌靶向治療原則與實踐(第一版). 北京: 人民衛生出版社, 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, 劉大可, 等. 上海市中老年婦女乳腺癌危險因素的出生隊列分析. 廣州: 第三屆中國腫瘤學術大會教育論文集, 2004: 5.
11. 王映青. 基于隊列人群的乳腺癌危險因素病例對照研究. 杭州: 浙江大學, 2006.
12. 陶蘋, 胡耀月, 黃源, 等. 亞裔女性乳腺癌危險因素的Meta分析. 中華流行病學雜志, 2011, 32(2): 164-169.
13. 周曉彬, 張健. 中國女性被動吸煙與乳腺癌發病關系的Meta分析. 中國臨床康復, 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. 國家衛生健康委. 對十三屆全國人大一次會議第5491號建議的答復, 2019-01-03. Available at: http://www.nhc.gov.cn/wjw/jiany/201901/daed9d32fd25489fbdc12ba0634ce8b3.shtml.
22. 國家衛生健康委. 對十三屆全國人大一次會議第2364號建議的答復, 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. 郭蘭偉. 肥胖相關身體測量指標與惡性腫瘤發病風險的前瞻性隊列研究. 北京: 北京協和醫學院, 2014.
27. 張琪, 錢云, 靳子義, 等. 超重肥胖與中國女性乳腺癌關系的Meta分析. 中華預防醫學雜志, 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. 潘曉平, 金曦, 丁輝, 等. 北京、廣東兩地婦女乳腺癌危險度評價模型的初步研究. 中國婦幼保健, 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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