Genomic instability‐associated two‐miRNA signature as a novel prognostic biomarker in breast cancer

Author:

Zhang Yongming1,Chen Yanjia2,Liu Tianjun1

Affiliation:

1. Tianjin Key Laboratory of Biomedical Materials, Institute of Biomedical Engineerings Chinese Academy of Medical Sciences and Peking Union Medical College Tianjin China

2. Medical Statistics Office, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

Abstract

AbstractBackgroundBreast cancer (BC) is the most common cancer among women worldwide and a leading cause of cancer‐associated deaths among women. However, there is a lack of accurate prognostic biomarkers for BC. In the present study, we aimed to identify a genomic instability (GI)‐associated microRNA signature as a novel potential prognostic biomarker in BC.MethodsWe performed an integrative analysis to investigate the relationship between GI and BC and identify GI‐associated microRNAs (miRNAs). Subsequently, we conducted a discovery and validation study using multicenter cohorts. The GI‐associated miRNA signature was developed in the discovery cohort and independently validated in internal and external cohorts.ResultsGI‐associated miRNAs expression in BC showed heterogeneity and was significantly correlated with BC prognosis. We identified a GI‐associated two‐miRNA signature (miR‐105‐5p and miR‐767‐5p), termed GI2miR, that stratified BC patients into high‐risk and low‐risk groups with significantly different clinical outcomes (log‐rank p = 0.027) in The Cancer Genome Atlas (TCGA) discovery cohort (n = 763). The prognostic value of GI2miR was further validated in internal TCGA validation cohort (n = 253) (log‐rank p = 0.035) and independent GSE22216 cohort (n = 210) (log‐rank p = 0.036). The GI2miR demonstrated independent prognostic value in multivariate Cox proportional hazard regression analyses and stratification analysis.ConclusionsWe have developed a novel prognostic signature based on GI‐associated two miRNAs for BC, which may lay the foundation for BC to improve prognosis prediction.

Publisher

Wiley

Subject

Genetics (clinical),Drug Discovery,Genetics,Molecular Biology,Molecular Medicine

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