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Dataset Information

Identification of lncRNAs associated with lung squamous cell carcinoma prognosis in the competitive endogenous RNA network.


ABSTRACT:

Background

Long noncoding RNAs (lncRNAs) play a role in the formation, development, and prognosis of various cancers. Our study aimed to identify prognostic-related lncRNAs in lung squamous cell carcinoma (LUSC), which may provide new perspectives for individualized treatment of patients.

Materials and methods

The RNA sequencing (lncRNA, microRNA (miRNA), mRNA) data and clinical information related to LUSC were obtained from The Cancer Genome Atlas (TCGA) database. Differentially expressed RNA sequences were used to construct the competitive endogenous RNA (ceRNA) network. In present study, we mainly used two prognostic verification methods, Cox analysis and survival analysis, to identify the prognostic relevance of specific lncRNAs and construct prognostic model of lncRNA.<

SUBMITTER: Qi L 

PROVIDER: S-EPMC6753923 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature