Premium
A prognostic five long–noncoding RNA signature for patients with rectal cancer
Author(s) -
Zhao Kankan,
Wang Mengchuan,
Kang Houlong,
Wu Aiguo
Publication year - 2020
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.29549
Subject(s) - colorectal cancer , receiver operating characteristic , proportional hazards model , univariate , long non coding rna , oncology , medicine , survival analysis , gene signature , multivariate analysis , univariate analysis , cancer , multivariate statistics , biology , gene , rna , statistics , genetics , gene expression , mathematics
This study aimed to identify prognostic long noncoding RNAs (lncRNAs) signature for predicting the prognosis of patients with rectal cancer. LncRNA‐sequencing data and clinicopathological data of patients with rectal cancer were retrieved from The Cancer Genome Atlas database. Univariate and multivariate Cox proportional hazards regression analysis, the least absolute shrinkage, and selection operator analysis and the Kaplan‐Meier curve method were employed to identify prognostic lncRNAs and construct multi‐lncRNA signature. Finally, five lncRNAs (AC079789.1, AC106900.2, AL121987.1, AP004609.1, and LINC02163) were identified to construct a five‐lncRNA signature. According to the five‐lncRNA signature, patients with rectal cancer were divided into a high‐risk group and low‐risk group. Patients with rectal cancer had significantly poorer overall survival in the high‐risk group than in the low‐risk group. We used a time‐dependent receiver operating characteristic curve to assess the power of the five‐lncRNA signature by calculating the area under the curve (AUC). The AUCs for predicting 3‐year survival and 5‐year survival were 0.742 and 0.935, respectively, which indicated a good performance of the five‐lncRNA signature. The five‐lncRNA signature was independently associated with the prognosis of patients with rectal cancer through using univariate and multivariate Cox regression analysis. The biological function of the five lncRNAs was enriched in some cancer‐related biological processes and pathways by performing functional enrichment analysis of their correlated protein‐coding genes. In conclusion, we developed a five‐lncRNA signature as a potential indicator for rectal cancer.