Literature DB >> 24916400

Heterogeneity of epidemiological factors by breast tumor subtypes in Korean women: a case-case study.

Nan Song1, Ji-Yeob Choi, Hyuna Sung, Seokang Chung, Minkyo Song, Sue K Park, Wonshik Han, Jong Won Lee, Mi Kyung Kim, Keun-Young Yoo, Sei-Hyun Ahn, Dong-Young Noh, Daehee Kang.   

Abstract

Breast cancer is heterogeneous in clinical behavior by subtypes; however, it is unclear how this heterogeneity is related to epidemiological factors. To evaluate the differences in epidemiological factors by breast tumor subtypes, we investigated the associations of epidemiological factors between tumor subtypes in Korean women. From the Seoul Breast Cancer Study, a total of 3,058 patients with breast cancer were included in the analyses. Tumor subtypes were classified based on hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) statuses. The epidemiological factors of each subtype were compared through case-case analyses using multivariate a polytomous logistic regression model adjusted for age and recruiting centers. The distribution of the subtypes was as follows: 1,714 HR+ HER2- (56.0%), 414 HR+ HER2+ (13.5%), 423 HR- HER2+ (13.9%) and 507 HR- HER2- (16.6%) patients with breast cancer. There were significant differences in age, menopausal status, age at menarche, number of children, age at first full-term pregnancy (FFTP), duration of breastfeeding and duration of endogenous estrogen exposure between tumor subtypes (p < 0.05). Compared to HR+ HER2- patients, the other subtype patients showed more frequency in having more numbers of children and less frequency in having earlier menarche, later FFTP and longer endogenous estrogen exposure. Although HR- HER2+ patients were less obese, HR- HER2- patients were younger and more obese. In conclusion, age, body mass index and reproductive factors were differentially associated with breast tumor subtypes suggesting a possible distinct etiology for tumor progression.
© 2013 UICC.

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Keywords:  breast cancer; case-case study; epidemiological factors; heterogeneity; tumor subtypes

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Year:  2014        PMID: 24916400     DOI: 10.1002/ijc.28685

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  7 in total

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Authors:  Priscilla Ming Yi Lee; Chi Hei Kwok; Wing Cheong Chan; Cherry Wu; Koon-Ho Tsang; Sze-Hong Law; Yiu-Cheong Yeung; Feng Wang; Xiaohong R Yang; Lap Ah Tse
Journal:  Horm Cancer       Date:  2020-06-03       Impact factor: 3.869

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4.  Tumor subtype-specific associations of hormone-related reproductive factors on breast cancer survival.

Authors:  Nan Song; Ji-Yeob Choi; Hyuna Sung; Sujee Jeon; Seokang Chung; Minkyo Song; Sue K Park; Wonshik Han; Jong Won Lee; Mi Kyung Kim; Keun-Young Yoo; Sei-Hyun Ahn; Dong-Young Noh; Daehee Kang
Journal:  PLoS One       Date:  2015-04-14       Impact factor: 3.240

5.  Prediction of breast cancer survival using clinical and genetic markers by tumor subtypes.

Authors:  Nan Song; Ji-Yeob Choi; Hyuna Sung; Sujee Jeon; Seokang Chung; Sue K Park; Wonshik Han; Jong Won Lee; Mi Kyung Kim; Ji-Young Lee; Keun-Young Yoo; Bok-Ghee Han; Sei-Hyun Ahn; Dong-Young Noh; Daehee Kang
Journal:  PLoS One       Date:  2015-04-13       Impact factor: 3.240

6.  A Review of the Epidemiology of Breast Cancer in Asia: Focus on Risk Factors.

Authors:  Hyun Jo Youn; Wonshik Han
Journal:  Asian Pac J Cancer Prev       Date:  2020-04-01

7.  Breast cancer risk factors, survival and recurrence, and tumor molecular subtype: analysis of 3012 women from an indigenous Asian population.

Authors:  Mustapha Abubakar; Hyuna Sung; Devi Bcr; Jennifer Guida; Tieng Swee Tang; Ruth M Pfeiffer; Xiaohong R Yang
Journal:  Breast Cancer Res       Date:  2018-09-18       Impact factor: 6.466

  7 in total

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