Early developments in gene-expression profiling of breast tumors: potential for increasing black–white patient disparities in breast cancer outcomes?

Author:

Odierna Donna H1,Afable-Munsuz Aimee2,Ikediobi Ogechi3,Beattie Mary4,Knight Sara5,Ko Michelle6,Wilson Adrienne4,Ponce Ninez A6

Affiliation:

1. Department of Clinical Pharmacy, San Francisco Branch of UC Cochrane Center, University of California, San Francisco, 3333 California St, Box 0613, San Francisco, CA 94118, USA.

2. Department of Community Health Sciences, SUNY Downstate School of Public Health, 450 Clarkson Avenue, Box #43, Brooklyn, NY 11203, USA

3. Department of Clinical Pharmacy, University of California, San Francisco, 521 Parnassus Ave, Box 0622, San Francisco, CA 94143, USA

4. Division of General Internal Medicine, UCSF Cancer Risk Program, University of California, San Francisco, 1635 Divisidero Street, Box 1793, San Francisco, CA 94143-1793, USA

5. Health Services Research & Development Service, San Francisco Veterans Affairs Medical Center, Departments of Psychiatry & Urology, University of California at San Francisco, Box VAMC – 151R, VAMC Bldg 1, 220-G, University of California, San Francisco, San Francisco, CA 94143, USA

6. Department of Health Services, UCLA School of Public Health, PO Box 951772, Los Angeles, CA 90095-1772, USA

Abstract

New prognostic tests, such as gene-expression profiling (GEP) of breast tumors, are expected to prolong survival and improve the quality of life for many breast cancer patients. In this article, we argue that GEP has not been adequately validated in minority populations, and that both biological and social factors might affect the broad utility of these tests in diverse populations. We suggest that the widespread use of this technology could potentially lead to suboptimal treatment for black women, resulting in a further increase in black–white patient disparities in treatment response, morbidity and mortality rates. We argue for the need to build a large and diverse evidence base for GEP and other emerging technologies in personalized medicine.

Publisher

Future Medicine Ltd

Subject

Pharmacology,Molecular Medicine,General Medicine

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3