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A Novel Seventeen-Gene Metabolic Signature for Predicting Prognosis in Colon Cancer
Joint Authors
Liu, Qi
Cai, Sanjun
Luo, Dakui
Shan, Zezhi
Li, Qingguo
Li, Xinxiang
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-17
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
A metabolic disorder is considered one of the hallmarks of cancer.
Multiple differentially expressed metabolic genes have been identified in colon cancer (CC), and their biological functions and prognostic values have been well explored.
The purpose of the present study was to establish a metabolic signature to optimize the prognostic prediction in CC.
The related data were downloaded from The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx) database, and Gene Expression Omnibus (GEO) combined with GSE39582 set, GSE17538 set, GSE33113 set, and GSE37892 set.
The differentially expressed metabolic genes were selected for univariate Cox regression and lasso Cox regression analysis using TCGA and GTEx datasets.
Finally, a seventeen-gene metabolic signature was developed to divide patients into a high-risk group and a low-risk group.
Patients in the high-risk group presented poorer prognosis compared to the low-risk group in both TCGA and GEO datasets.
Moreover, gene set enrichment analyses demonstrated multiple significantly enriched metabolism-related pathways.
To sum up, our study described a novel seventeen-gene metabolic signature for prognostic prediction of colon cancer.
American Psychological Association (APA)
Luo, Dakui& Shan, Zezhi& Liu, Qi& Cai, Sanjun& Li, Qingguo& Li, Xinxiang. 2020. A Novel Seventeen-Gene Metabolic Signature for Predicting Prognosis in Colon Cancer. BioMed Research International،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1134261
Modern Language Association (MLA)
Luo, Dakui…[et al.]. A Novel Seventeen-Gene Metabolic Signature for Predicting Prognosis in Colon Cancer. BioMed Research International No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1134261
American Medical Association (AMA)
Luo, Dakui& Shan, Zezhi& Liu, Qi& Cai, Sanjun& Li, Qingguo& Li, Xinxiang. A Novel Seventeen-Gene Metabolic Signature for Predicting Prognosis in Colon Cancer. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1134261
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134261