生物
三阴性乳腺癌
乳腺癌
恶性肿瘤
癌症
计算生物学
癌症研究
生物信息学
遗传学
作者
Fan Yang,Ye-Huan Liu,Siyang Dong,Zhihan Yao,Lin Lv,Ruimin Ma,Xuanxuan Dai,Jiao Wang,Xiaohua Zhang,Ouchen Wang
出处
期刊:Gene
[Elsevier]
日期:2016-07-03
卷期号:591 (2): 471-477
被引量:60
标识
DOI:10.1016/j.gene.2016.07.002
摘要
Triple-negative breast cancer (TNBC) is an aggressive type of breast cancer with unfavorable outcome. It is urgent to explore novel biomarkers and potential therapeutic targets in this malignancy. Increasing knowledge of long noncoding RNAs (lncRNAs) significantly deepens our understanding of cancer biology. Here, we sequenced eight paired TNBC tumor tissues and non-cancerous tissues, and validated significantly differentially expressed lncRNAs. Gene ontology (GO) and pathway analysis were used to investigate the function of differentially expressed mRNAs. Further, potential core lncRNAs in TNBC were identified by co-expression networks. Kaplan-Meier analysis also indicated that breast cancer patients with lower expression level of rhabdomyosarcoma 2 associated transcript (RMST), one of the potential core lncRNAs, had worse overall survival. To the best of our knowledge, it was the first report that RMST was involved in breast cancer. Our research provided a rich resource to the research community for further investigating lncRNAs functions and identifying lncRNAs with diagnostic and therapeutic potentials in TNBC.
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