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Development of Prognostic Indicator Based on Autophagy-Related lncRNA Analysis in Colon Adenocarcinoma.
- Source :
-
BioMed Research International . 9/3/2020, p1-14. 14p. - Publication Year :
- 2020
-
Abstract
- There were no systematic researches about autophagy-related long noncoding RNA (lncRNA) signatures to predict the survival of patients with colon adenocarcinoma. It was necessary to set up corresponding autophagy-related lncRNA signatures. The expression profiles of lncRNAs which contained 480 colon adenocarcinoma samples were obtained from The Cancer Genome Atlas (TCGA) database. The coexpression network of lncRNAs and autophagy-related genes was utilized to select autophagy-related lncRNAs. The lncRNAs were further screened using univariate Cox regression. In addition, Lasso regression and multivariate Cox regression were used to develop an autophagy-related lncRNA signature. A risk score based on the signature was established, and Cox regression was used to test whether it was an independent prognostic factor. The functional enrichment of autophagy-related lncRNAs was visualized using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes. Ten prognostic autophagy-related lncRNAs (AC027307.2, AC068580.3, AL138756.1, CD27-AS1, EIF3J-DT, LINC01011, LINC01063, LINC02381, AC073896.3, and SNHG16) were identified to be significantly different, which made up an autophagy-related lncRNA signature. The signature divided patients with colon adenocarcinoma into the low-risk group and the high-risk group. A risk score based on the signature was a significantly independent factor for the patients with colon adenocarcinoma (HR = 1.088 , 95 % CI = 1.057 − 1.120 ; P < 0.001). Additionally, the ten lncRNAs were significantly enriched in autophagy process, metabolism, and tumor classical pathways. In conclusion, the ten autophagy-related lncRNAs and their signature might be molecular biomarkers and therapeutic targets for the patients with colon adenocarcinoma. [ABSTRACT FROM AUTHOR]
- Subjects :
- *RNA analysis
*AUTOPHAGY
*CARCINOGENESIS
*ADENOCARCINOMA
*CANCER patients
*COLON tumors
*CONFIDENCE intervals
*DATABASES
*HUMAN genome
*METABOLISM
*MOLECULAR biology
*MULTIVARIATE analysis
*REGRESSION analysis
*RISK assessment
*STATISTICS
*TUMOR markers
*GENOMICS
*ONTOLOGIES (Information retrieval)
*PROPORTIONAL hazards models
*GENE expression profiling
*DESCRIPTIVE statistics
*DISEASE risk factors
Subjects
Details
- Language :
- English
- ISSN :
- 23146133
- Database :
- Academic Search Index
- Journal :
- BioMed Research International
- Publication Type :
- Academic Journal
- Accession number :
- 145475788
- Full Text :
- https://doi.org/10.1155/2020/9807918