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An 18-gene signature based on glucose metabolism and DNA methylation improves prognostic prediction for urinary bladder cancer.
- Source :
-
Genomics [Genomics] 2021 Jan; Vol. 113 (1 Pt 2), pp. 896-907. Date of Electronic Publication: 2020 Oct 21. - Publication Year :
- 2021
-
Abstract
- Background: Glucose metabolism and DNA methylation play important roles in cancers. We aimed to identify glucose metabolism-related genes that were DNA methylation associated to establish a prognostic signature of bladder cancer (BLCA).<br />Methods: With BLCA sample transcriptome data from The Cancer Genome Atlas (TCGA) and methylation data from TCGA 450 K microarray, glucose metabolism-related genes associated to prognosis and DNA methylation were identified and a prognostic signature was established. GSEA and WGCNA analysis were performed and two genes, UCHL1 and PYCR1, were selected for functional validations.<br />Results: 18 target genes were identified and the signature based on them was considered an effective and independent prognostic factor. Several pathways were enriched in the high-risk group by GSEA and three modules of genes were identified by WGCNA. UCHL1 and PYCR1 proliferated proliferation, migration and invasion ability of bladder cancer cells.<br />Conclusions: The 18-gene signature is an independent prognostic factor for bladder cancer patients.<br /> (Copyright © 2020 Elsevier Inc. All rights reserved.)
- Subjects :
- Biomarkers, Tumor metabolism
Carcinoma metabolism
Carcinoma pathology
Cell Line, Tumor
Cell Movement
Cell Proliferation
Glucose metabolism
Humans
Prognosis
Pyrroline Carboxylate Reductases genetics
Pyrroline Carboxylate Reductases metabolism
Ubiquitin Thiolesterase genetics
Ubiquitin Thiolesterase metabolism
Urinary Bladder Neoplasms metabolism
Urinary Bladder Neoplasms pathology
delta-1-Pyrroline-5-Carboxylate Reductase
Biomarkers, Tumor genetics
Carcinoma genetics
DNA Methylation
Transcriptome
Urinary Bladder Neoplasms genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1089-8646
- Volume :
- 113
- Issue :
- 1 Pt 2
- Database :
- MEDLINE
- Journal :
- Genomics
- Publication Type :
- Academic Journal
- Accession number :
- 33096258
- Full Text :
- https://doi.org/10.1016/j.ygeno.2020.10.022