Literature DB >> 21349715

Factors affecting estrogen receptor status in a multiracial Asian country: an analysis of 3557 cases.

C H Yip1, N Bhoo Pathy, C S Uiterwaal, N A Taib, G H Tan, K S Mun, W Y Choo, A Rhodes.   

Abstract

Estrogen receptor (ER) positive rates in breast cancer may be influenced by grade, stage, age and race. This study reviews the ER positive rates over a 15-year period at the University Malaya Medical Centre, Kuala Lumpur, Malaysia. Data on ER status of 3557 patients from 1994 to 2008 was analyzed. ER status was determined by immunohistochemistry with a cut-off point of 10%. ER positivity increased by about 2% for every 5-year cohort, from 54.5% in 1994-1998 to 58.4% in 2004-2008. Ethnicity and grade were significantly associated with ER positivity rates: Malay women were found to have a higher risk of ER negative tumors compared with Chinese women. Grade 1 cancers were nine times more likely to be ER positive compared with grade 3 cancers. In summary, the proportion of ER positive cancers increased with each time period, and ethnicity and grade were independent factors that influenced ER positive rates.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21349715     DOI: 10.1016/j.breast.2011.02.004

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


  7 in total

Review 1.  Improving outcomes in breast cancer for low and middle income countries.

Authors:  C H Yip; I Buccimazza; M Hartman; S V S Deo; P S Y Cheung
Journal:  World J Surg       Date:  2015-03       Impact factor: 3.352

2.  Estrogen and progesterone receptor status in breast cancer: a cross-sectional study of 450 women in Kerala, South India.

Authors:  Gautham Rajan; Terence B Culas; P S Jayalakshmy
Journal:  World J Surg Oncol       Date:  2014-04-24       Impact factor: 2.754

Review 3.  Epidemiological characteristics of and risk factors for breast cancer in the world.

Authors:  Zohre Momenimovahed; Hamid Salehiniya
Journal:  Breast Cancer (Dove Med Press)       Date:  2019-04-10

4.  Changing patterns and survival improvements of young breast cancer in China and SEER database, 1999-2017.

Authors:  Rong Guo; Jing Si; Jingyan Xue; Yonghui Su; Miao Mo; Benlong Yang; Qi Zhang; Weiru Chi; Yayun Chi; Jiong Wu
Journal:  Chin J Cancer Res       Date:  2019-08       Impact factor: 5.087

5.  Predicting Characteristics Associated with Breast Cancer Survival Using Multiple Machine Learning Approaches.

Authors:  Mohammad Nazmul Haque; Tahia Tazin; Mohammad Monirujjaman Khan; Shahla Faisal; Sobhee Md Ibraheem; Haneen Algethami; Faris A Almalki
Journal:  Comput Math Methods Med       Date:  2022-04-25       Impact factor: 2.809

6.  Changing patterns in the clinical characteristics of korean breast cancer from 1996-2010 using an online nationwide breast cancer database.

Authors:  Beom Seok Ko; Woo Chul Noh; Sung Soo Kang; Byeong Woo Park; Eun Young Kang; Nam Sun Paik; Jung Hyun Yang; Sei Hyun Ahn
Journal:  J Breast Cancer       Date:  2012-12-31       Impact factor: 3.588

7.  Incidence and mortality of female breast cancer in the Asia-Pacific region.

Authors:  Danny R Youlden; Susanna M Cramb; Cheng Har Yip; Peter D Baade
Journal:  Cancer Biol Med       Date:  2014-06       Impact factor: 4.248

  7 in total

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