Premium
An 11‐lncRNA expression could be potential prognostic biomarkers in head and neck squamous cell carcinoma
Author(s) -
Xu Qingyong,
Yin Hang,
Ao Haijiao,
Leng Xue,
Liu Mingdong,
Liu Yang,
Ma Jianqun,
Wang Xiaoyuan
Publication year - 2019
Publication title -
journal of cellular biochemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.028
H-Index - 165
eISSN - 1097-4644
pISSN - 0730-2312
DOI - 10.1002/jcb.29113
Subject(s) - competing endogenous rna , head and neck squamous cell carcinoma , microrna , biology , nasopharyngeal carcinoma , survival analysis , biomarker , long non coding rna , computational biology , proportional hazards model , oncology , bioinformatics , gene , cancer , rna , head and neck cancer , medicine , genetics , radiation therapy
The aim of our study is to construct the competing endogenous RNA (ceRNA) network of head and neck squamous cell carcinoma (HNSCC) and identify key long noncoding RNAs (lncRNAs) to predict prognosis. The genes whose expression were differentially in HNSCC and normal tissues were explored by the Cancer Genome Atlas database. The ceRNA network was constructed by the Cytoscape software. The lncRNAs which could estimate the overall survival were explored from Cox proportional hazards regression. There are 1997, 589, and 82 mRNAs, lncRNAs, and miRNAs whose expression were statistically significant different, respectively. Then, the network between miRNA and mRNA or miRNA and lncRNA was constructed by miRcode, miRDB, TargetScan, and miRanda. Five mRNAs, 10 lncRNAs, and 3 miRNAs were associated with overall survival. Then, 11‐lncRNAs were found to be prognostic factors. Therefore, our research analyzed the potential signature of novel 11‐lncRNA as candidate prognostic biomarker from the ceRNA network for patients with HNSCC.