Construction of a novel methylation-related prognostic model for colorectal cancer based on microsatellite status.
bioinformatics
colorectal cancer
methylation-driven genes
microsatellite status
prognostic model
Journal
Journal of cellular biochemistry
ISSN: 1097-4644
Titre abrégé: J Cell Biochem
Pays: United States
ID NLM: 8205768
Informations de publication
Date de publication:
12 2021
12 2021
Historique:
revised:
30
07
2021
received:
18
01
2021
accepted:
03
08
2021
pubmed:
17
8
2021
medline:
15
3
2022
entrez:
16
8
2021
Statut:
ppublish
Résumé
The present study aimed to construct a novel methylation-related prognostic model based on microsatellite status that may enhance the prognosis of colorectal cancer (CRC) from methylation and microsatellite status perspective. DNA methylation and mRNA expression data with clinical information were downloaded from The Cancer Genome Atlas (TCGA) data set. The samples were divided into microsatellite stability and microsatellite instability group, and CIBERSORT was used to assess the immune cell infiltration characteristics. After identifying the differentially methylated genes and differentially expression genes using R packages, the methylation-driven genes were further identified. Prognostic genes that were used to establish the methylation-related risk score model were generated by the univariate and multivariate Cox regression model. Finally, we established and evaluated the methylation-related prognostic model for CRC patients. A total of 69 MDGs were obtained and three of these genes (MIOX, TH, DKFZP434K028) were selected to construct the prognostic model. Patients in the low-risk score group had a conspicuously better overall survival than those in the high-risk score group (p < .0001). The area under the receiver operating characteristic curve for this model was 0.689 at 3 years, 0.674 at 4 years, and 0.658 at 5 years. The Wilcoxon test showed that higher risk score was associated with higher T stage (p = .01), N stages (p = .0028), metastasis (p = .013), and advanced pathological stage (p = .0013). However, the more instability of microsatellite status, the lower risk score of CRC patients (p = .0048). Our constructed methylation-related prognostic model based on microsatellite status presents potential significance in assessing recurrence risk stratification, tumor staging, and immunotherapy for CRC patients.
Substances chimiques
DNA, Neoplasm
0
Neoplasm Proteins
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1781-1790Informations de copyright
© 2021 Wiley Periodicals LLC.
Références
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