Literature DB >> 18812552

Effects of reproductive and demographic changes on breast cancer incidence in China: a modeling analysis.

Eleni Linos1, Demetri Spanos, Bernard A Rosner, Katerina Linos, Therese Hesketh, Jian Ding Qu, Yu-Tang Gao, Wei Zheng, Graham A Colditz.   

Abstract

BACKGROUND: Breast cancer incidence is currently low in China. However, the distribution of reproductive and lifestyle risk factors for breast cancer among Chinese women is changing rapidly. We quantified the expected effect of changes in breast cancer risk factors on future rates of breast cancer in China.
METHODS: We first validated and calibrated the Rosner-Colditz log-incidence breast cancer model in Chinese women who participated in the Shanghai Women's Health Study cohort (N = 74,942). We then applied the calibrated model to a representative sample of Chinese women who were aged 35-49 years in 2001 using data from the Chinese National Family Planning and Reproductive Health Survey (NFPRHS, N = 17,078) to predict the age-specific and cumulative breast cancer incidence among all Chinese women of this age group. We evaluated the relative impact of changes in modifiable risk factors, including alcohol intake, parity, postmenopausal hormone use, and adult weight gain, on cumulative incidence of breast cancer.
RESULTS: Breast cancer incidence in China is expected to increase substantially from current rates, estimated at 10-60 cases per 100,000 women, to more than 100 new cases per 100,000 women aged 55-69 years by 2021. We predicted 2.5 million cases of breast cancer by 2021 among Chinese women who were 35-49 years old in 2001. Modest reductions in hormone and alcohol use, and weight maintenance could prevent 270,000 of these cases.
CONCLUSIONS: China is on the cusp of a breast cancer epidemic. Although some risk factors associated with economic development are largely unavoidable, the substantial predicted increase in new cases of breast cancer calls for urgent incorporation of this disease in future health care infrastructure planning.

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Year:  2008        PMID: 18812552      PMCID: PMC2556703          DOI: 10.1093/jnci/djn305

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  37 in total

1.  Cumulative risk of breast cancer to age 70 years according to risk factor status: data from the Nurses' Health Study.

Authors:  G A Colditz; B Rosner
Journal:  Am J Epidemiol       Date:  2000-11-15       Impact factor: 4.897

2.  The increase of female breast cancer incidence in Japan: emergence of birth cohort effect.

Authors:  Yuko Minami; Yoshitaka Tsubono; Yoshikazu Nishino; Noriaki Ohuchi; Daisuke Shibuya; Shigeru Hisamichi
Journal:  Int J Cancer       Date:  2004-03-01       Impact factor: 7.396

3.  Serum hormone levels in pre-menopausal Chinese women in Shanghai and white women in Los Angeles: results from two breast cancer case-control studies.

Authors:  L Bernstein; J M Yuan; R K Ross; M C Pike; R Hanisch; R Lobo; F Stanczyk; Y T Gao; B E Henderson
Journal:  Cancer Causes Control       Date:  1990-07       Impact factor: 2.506

Review 4.  Long-term effects of mammography screening: updated overview of the Swedish randomised trials.

Authors:  Lennarth Nyström; Ingvar Andersson; Nils Bjurstam; Jan Frisell; Bo Nordenskjöld; Lars Erik Rutqvist
Journal:  Lancet       Date:  2002-03-16       Impact factor: 79.321

5.  Association of body size and fat distribution with risk of breast cancer among Chinese women.

Authors:  X O Shu; F Jin; Q Dai; J R Shi; J D Potter; L A Brinton; J R Hebert; Z Ruan; Y T Gao; W Zheng
Journal:  Int J Cancer       Date:  2001-11-01       Impact factor: 7.396

6.  Association of menstrual and reproductive factors with breast cancer risk: results from the Shanghai Breast Cancer Study.

Authors:  Y T Gao; X O Shu; Q Dai; J D Potter; L A Brinton; W Wen; T A Sellers; L H Kushi; Z Ruan; R M Bostick; F Jin; W Zheng
Journal:  Int J Cancer       Date:  2000-07-15       Impact factor: 7.396

7.  Breast cancer in a multiethnic cohort in Hawaii and Los Angeles: risk factor-adjusted incidence in Japanese equals and in Hawaiians exceeds that in whites.

Authors:  Malcolm C Pike; Laurence N Kolonel; Brian E Henderson; Lynne R Wilkens; Jean H Hankin; Heather Spencer Feigelson; Peggy C Wan; Daniel O Stram; Abraham M Y Nomura
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2002-09       Impact factor: 4.254

8.  Breast cancer risk prediction with a log-incidence model: evaluation of accuracy.

Authors:  Beverly Rockhill; Celia Byrne; Bernard Rosner; Mary M Louie; Graham Colditz
Journal:  J Clin Epidemiol       Date:  2003-09       Impact factor: 6.437

9.  Rapidly rising breast cancer incidence rates among Asian-American women.

Authors:  Dennis Deapen; Lihua Liu; Carin Perkins; Leslie Bernstein; Ronald K Ross
Journal:  Int J Cancer       Date:  2002-06-10       Impact factor: 7.396

10.  Trends in breast cancer incidence in Hong Kong between 1973 and 1999: an age-period-cohort analysis.

Authors:  G M Leung; T Q Thach; T-H Lam; A J Hedley; W Foo; R Fielding; P S F Yip; E M C Lau; C-M Wong
Journal:  Br J Cancer       Date:  2002-10-21       Impact factor: 7.640

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  57 in total

1.  Genetic and clinical predictors for breast cancer risk assessment and stratification among Chinese women.

Authors:  Wei Zheng; Wanqing Wen; Yu-Tang Gao; Yu Shyr; Ying Zheng; Jirong Long; Guoliang Li; Chun Li; Kai Gu; Qiuyin Cai; Xiao-Ou Shu; Wei Lu
Journal:  J Natl Cancer Inst       Date:  2010-05-18       Impact factor: 13.506

2.  Characterization of the attenuation of breast cancer bone metastasis in mice by zoledronic acid using (99m)Tc bone scintigraphy.

Authors:  Chunyu Wu; Shunfang Yang; Zhenping Sun; Xianghui Han; Yiyi Ye; Sheng Liu
Journal:  Pathol Oncol Res       Date:  2014-03-08       Impact factor: 3.201

3.  Rural-urban disparities of breast cancer patients in China.

Authors:  Yan Zhang; Yulan Bu; Hua Gao
Journal:  Med Oncol       Date:  2012-12-29       Impact factor: 3.064

4.  Plasma phospholipase A2 activity may serve as a novel diagnostic biomarker for the diagnosis of breast cancer.

Authors:  Jingkun Qu; Xixi Zhao; Jizhao Wang; Chao Liu; Yuchen Sun; Hui Cai; Jianlin Liu
Journal:  Oncol Lett       Date:  2018-01-31       Impact factor: 2.967

5.  A functional polymorphism of TGFBR2 is associated with risk of breast cancer with ER(+), PR(+), ER(+)PR(+) and HER2(-) expression in women.

Authors:  Mei Zhang; Ling-Ling Guo; Zhongqin Cheng; Reng-Yun Liu; Yufeng Lu; Qian Qian; Zhe Lei; Hong-Tao Zhang
Journal:  Oncol Lett       Date:  2011-05-13       Impact factor: 2.967

6.  Endogenous Estrogens, Estrogen Metabolites, and Breast Cancer Risk in Postmenopausal Chinese Women.

Authors:  Steven C Moore; Charles E Matthews; Xiao Ou Shu; Kai Yu; Mitchell H Gail; Xia Xu; Bu-Tian Ji; Wong-Ho Chow; Qiuyin Cai; Honglan Li; Gong Yang; David Ruggieri; Jennifer Boyd-Morin; Nathaniel Rothman; Robert N Hoover; Yu-Tang Gao; Wei Zheng; Regina G Ziegler
Journal:  J Natl Cancer Inst       Date:  2016-05-18       Impact factor: 13.506

7.  Effects of methylglyoxal and glyoxalase I inhibition on breast cancer cells proliferation, invasion, and apoptosis through modulation of MAPKs, MMP9, and Bcl-2.

Authors:  Yi Guo; Yuning Zhang; Xunjun Yang; Panpan Lu; Xijuan Yan; Fanglan Xiao; Huaibin Zhou; Chaowei Wen; Mengru Shi; Jianxin Lu; Qing H Meng
Journal:  Cancer Biol Ther       Date:  2015-11-30       Impact factor: 4.742

8.  Comparison of genetic variation of breast cancer susceptibility genes in Chinese and German populations.

Authors:  David Barzan; Marlon R Veldwijk; Carsten Herskind; Yang Li; Bo Zhang; Elena Sperk; Wei-Dong Du; Xue-Jun Zhang; Frederik Wenz
Journal:  Eur J Hum Genet       Date:  2013-03-13       Impact factor: 4.246

Review 9.  Breast Cancer in Sub-Saharan Africa: Challenges and Opportunities to Reduce Mortality.

Authors:  Lydia E Pace; Lawrence N Shulman
Journal:  Oncologist       Date:  2016-04-18

10.  Risk factors for breast cancer in postmenopausal Caucasian and Chinese-Canadian women.

Authors:  Carolyn Y Tam; Lisa J Martin; Gregory Hislop; Anthony J Hanley; Salomon Minkin; Norman F Boyd
Journal:  Breast Cancer Res       Date:  2010-01-06       Impact factor: 6.466

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