Details

Autor(en) / Beteiligte

• Yang, Fan
• Liu, Ye-huan
• Dong, Si-yang
• Yao, Zhi-han
• Lv, Lin
• Ma, Rui-min
• Dai, Xuan-xuan
• Wang, Jiao
• Zhang, Xiao-hua
• Wang, Ou-chen

Titel

Co-expression networks revealed potential core lncRNAs in the triple-negative breast cancer

Ist Teil von

• Gene, 2016-10, Vol.591 (2), p.471-477

Ort / Verlag

Netherlands: Elsevier B.V

Erscheinungsjahr

2016

Quelle

MEDLINE

Beschreibungen/Notizen

• 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. •1211 lncRNAs and 3356 mRNAs which were significantly differently expressed in Triple Negative Breast Cancer were detected.•Potential core lncRNAs in Triple Negative Breast Cancer were identified by co-expression networks.•LncRNA RMST was firstly reported as a prognostic biomarker in breast cancer.