LASSO‑based Cox‑PH model identifies an 11‑lncRNA signature for prognosis prediction in gastric cancer.

ABSTRACT: The present study aimed to identify a long non‑coding (lnc) RNAs‑based signature for prognosis assessment in gastric cancer (GC) patients. By integrating gene expression data of GC and normal samples from the National Center for Biotechnology Information Gene Expression Omnibus, the EBI ArrayExpress and The Cancer Genome Atlas (TCGA) repositories, the common RNAs in Genomic Spatial Event (GSE) 65801, GSE29998, E‑MTAB‑1338, and TCGA set were screened and used to construct a weighted correlation network analysis (WGCNA) network for mining GC‑related modules. Consensus differentially expressed RNAs (DERs) between GC and normal samples in the four datasets were screened using the MetaDE method. From the overlapped lncRNAs shared by preserved WGCNA modules and the consensus DERs, an lncRNAs sig

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC6236314 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature