Literature DB >> 27017410

Characteristics of breast cancer in Central China, literature review and comparison with USA.

Chuang Chen1, Si Sun2, Jing-Ping Yuan3, Yao-Huai Wang1, Tian-Ze Cao1, Hong-Mei Zheng4, Xue-Qing Jiang5, Yi-Ping Gong6, Yi Tu1, Feng Yao1, Ming-Bai Hu7, Juan-Juan Li1, Sheng-Rong Sun1, Wen Wei8.   

Abstract

INTRODUCTION: This work was to analyze characteristics of breast cancer (BC) in Central China, summarize main characteristics in China and compare with USA.
METHODS: BC main characteristics from four hospitals in Central China from 2002 to 2012 were collected and analyzed. All the single and large-scale clinical reports covering at least ten years were selected and summarized to calculate the BC characteristics of China. BC Characteristics in USA were selected based on the database from Surveillance, Epidemiology, and End Results (SEER) Program.
RESULTS: Age distribution in Central China was normal with one age peak at 45-49 years, displaying differences from USA and Chinese American with two age peaks. BC characteristics in Central China displayed distinct features from USA and Chinese American, including significant younger onset age, lower proportion of patients with stage I, lymph node negative, small tumor size and ER positive. A total ten long-term and large-scale clinical reports were selected for BC characteristics of Mainland China analysis. A total of 53,571 BC patients were enrolled from 1995 to 2012. The main characteristics of BC in Mainland China were similar as that in Central China, but were significant different from developed regions of China (Hong Kong and Taiwan), USA and Chinese American.
CONCLUSIONS: BC characteristics in Central China displayed representative patterns of Mainland China, while showed distinct patterns from Chinese patients in other developed areas and USA.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Breast cancer; Chinese patient; Clinico-pathological characteristics; Mainland China; Median age

Mesh:

Substances:

Year:  2016        PMID: 27017410     DOI: 10.1016/j.breast.2016.01.004

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  23 in total

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