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Four lncRNAs associated with breast cancer prognosis identified by coexpression network analysis
Author(s) -
Li Jie,
Gao Chundi,
Liu Cun,
Zhou Chao,
Ma Xiaoran,
Li Huayao,
Li Jia,
Wang Xue,
Qi Lingyu,
Yao Yan,
Zhang Xiaoming,
Zhuang Jing,
Liu Lijuan,
Wang Kejia,
Sun Changgang
Publication year - 2019
Publication title -
journal of cellular physiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.529
H-Index - 174
eISSN - 1097-4652
pISSN - 0021-9541
DOI - 10.1002/jcp.28089
Subject(s) - breast cancer , hotair , biology , context (archaeology) , disease , computational biology , cancer , transcriptome , long non coding rna , proteogenomics , genomics , oncology , bioinformatics , genome , gene , rna , genetics , medicine , gene expression , paleontology
Previous studies on long noncoding RNA (lncRNA) have made breakthroughs in the treatment of several tumors, and these findings have brought attention to the lncRNA signature of breast cancer. Increased understanding of genomic architecture and achievement of innovative therapeutic strategies has prompted creation of a novel oncological model for the treatment of solid cancers. In this study, we systematically analyzed the transcriptome of breast cancer tissues to gain more in‐depth knowledge of tumor biology. Gene coexpression relationships were studied in 206 samples from The Cancer Genome Atlas database, and nine coexpression modules were identified. After screening and analysis, we identified four important prognosis‐related lncRNAs (HOTAIR, SNHG16, HCP5, and TINCR), and constructed a prognostic model, one (HCP5) of which has not previously been identified in the context of breast cancer. Importantly, an understanding of prognosis facilitates precise disease risk assessment and advances the selection of strategies for risk‐adaptive management. These findings broaden the landscape of carcinogenic lncRNAs in breast cancer, providing insights into the biological significance and clinical application of lncRNAs in breast cancer.