A three-lncRNA expression signature predicts survival in head and neck squamous cell carcinoma (HNSCC). Issue 6 (21st November 2018)

• Record Type: Journal Article
• Authors: Wang, Peng; Jin, Meng; Sun, Chuan-hui; Yang, Like; Li, Yu-shan; Wang, Xin; Sun, Ya-nan; Tian, Lin-li; Liu, Ming
• Is Part Of: Bioscience reports. Volume 38:Issue 6(2018)
• Publication Date: 2018-11-21
• Subjects: Head and neck squamous cell carcinoma -- Long non-coding RNAs -- prognosis -- Signature -- Survival; Molecular biology -- Periodicals; Cytology -- Periodicals; 572.8
• DOI: 10.1042/BSR20181528
• Languages: English
• ISSNs: 0144-8463

Abstract

Abstract : Increasing evidence has shown that long non-coding RNAs (lncRNAs) have important biological functions and can be used as a prognostic biomarker in human cancers. However, investigation of the prognostic value of lncRNAs in head and neck squamous cell carcinoma (HNSCC) is in infancy. In the present study, we analyzed the lncRNA expression data in a large number of HNSCC patients ( n =425) derived from The Cancer Genome Atlas (TCGA) to identify an lncRNA expression signature for improving the prognosis of HNSCC. Three lncRNAs are identified to be significantly associated with survival in the training dataset using Cox regression analysis. Three lncRNAs were integrated to construct an lncRNA expression signature that could stratify patients of training dataset into the high-risk group and low-risk group with significantly different survival time (median survival 1.85 years vs. 5.48 years; P =0.0018, log-rank test). The prognostic value of this three-lncRNA signature was confirmed in the testing and entire datasets, respectively. Further analysis revealed that the prognostic power of three-lncRNA signature was independent of clinical features by multivariate Cox regression and stratified analysis. These three lncRNAs were significantly associated with known genetic and epigenetic events by means of functional enrichment analysis. Therefore, our results indicated that the three-lncRNA expression signature can predict HNSCC patients' survival.