基于TCGA数据挖掘筛选肺鳞癌预后相关lncRNA分子标签

doi:10.3969/j.issn.1004-616x.2018.06.010

Abstract

Abstract: OBJECTIVE: Using TCGA data mining to explore lncRNAs signature with prognosis of lung squamous cell carcinomas. METHODS: Both the clinical and the RNAseq data of lung squamous cell carcinoma patients were extracted from TCGA transcriptome database. Association between lncRNAs and prognosis of lung squamous cell carcinoma were mined using LASSO Cox regression. Then,the lncRNA signature was constructed based on the coefficient of LASSO Cox regression model. The impact of the lncRNA signature expression level on prognosis of the patients were evaluated uisng Cox regression. RESULTS: 322 differentially expressed lncRNAs were screened out in tumor and adjacent tissues. A signature was constructed by LASSO Cox regression which included six lncRNAs as KTN1-AS1,FAM83A-AS1,AF131217.1,RP11-108M12.3,CTD-2555C10.3 and AC068831.16. When the patients were divided into high and low expression groups (based on the median of signature),the risk of death was 2.14 times higher in the high expression group patients than that in low expression group (HR=2.14,95%CI 1.50-3.04) (P < 0.01). When some clinical characteristics were added into the prediction model,the Harrell's C statistic of the prediction model was elevated to 0.69 (95%CI 0.64-0.75). CONCLUSION: The IncRNA signatures:KTN1-AS1,FAM83A-AS1,AF131217.1,RP11-108M12.3,CTD-2555C10.3 and AC068831.16 were associated with prognosis of lung squamous cell carcinoma based on the TCGA database analysis. Furthermore,expression levels of the lncRNA signature was predictive of the prognosis.

Key words: lung squamous cell carcinoma, lncRNA signature, TCGA database, prognosis, prediction model

CLC Number:

R734.2

LIU Ying, WANG Ke, HE Yangting, XIAO Jinrong, WANG Huanzhuo, LI Yangkai, WEI Sheng. Prognosis-associated lncRNA signature in lung squamous cell carcinomas based on TCGA database[J]. Carcinogenesis, Teratogenesis & Mutagenesis, 2018, 30(6): 468-472,478.

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Prognosis-associated lncRNA signature in lung squamous cell carcinomas based on TCGA database

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