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pmid:37818334

Construction of a Prognostic Model Based on Methylation-Related Genes in Patients with Colon Adenocarcinoma.

ZhenDong Liu · YuYang Xu · Shan Jin · Xin Liu · BaoChun Wang

Cancer management and research · 2023 doi:10.2147/CMAR.S417897

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

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title
Construction of a Prognostic Model Based on Methylation-Related Genes in Patients with Colon Adenocarcinoma.
doi
10.2147/CMAR.S417897
pmid
37818334
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ZhenDong Liu
[1]
YuYang Xu
[2]
Shan Jin
[3]
Xin Liu
[4]
BaoChun Wang
journal
Cancer management and research
year
2023
abstract
Purpose: Colon adenocarcinoma (COAD) is the second leading cause of death in the world, and the new incidence rate ranks third among all cancers. Abnormal DNA methylation is related to the occurrence and development of tumors. In this study, we aimed to identify genes associated with abnormal methylation in COAD. Methods: COAD transcriptome data, methylation data and clinical information were downloaded from the TCGA database and GEO database. The differentially expressed genes (DEGs) and methylated genes (DMGs) were analyzed and identified in COAD. PCA analysis was applied to divide COAD into subtypes, and the survival and immune cell infiltration of each subtype were evaluated. Cox and LASSO analyses were performed to construct COAD risk model. GSEA was used to evaluate the enrichment pathways. The Kaplan-Meier was used to analyze the difference in survival. ROC curve was plotted to evaluate the accuracy of the model, and GSE17536 was used to verify the accuracy of the risk model. The risk model is combined with the clinicopathological characteristics of COAD patients to perform multivariate Cox regression analysis to obtain independent risk factors and draw nomograms. Results: In total, 4564 DEGs and 1093 DMGs were screened, among which 298 were found to be overlapping genes. For 220 of these overlapping genes, the methylation was significantly negatively correlated to expression levels. An optimal signature from 4 methylated biomarkers was identified to construct the prognostic model. Conclusion: Our study identified 4 methylated biomarkers in the COAD. Then, we constructed the risk model to provide a theoretical basis and reference value for the research and treatment of COAD.
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Cox and LASSO analyses were performed to construct COAD risk model.
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The gene expression, methylation, and clinical data are available from NCBI Gene Expression Omnibus (GEO: GSE17536) https://www.ncbi.nlm.nih.gov/geo/ and the cancer genome database (TCGA: COAD) https://portal.gdc.cancer.gov. The RT-qPCR data are available from the corresponding author upon request.
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This study identified four methylated biomarkers in COAD and constructed a prognostic risk model based on them.
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Our study identified 4 methylated biomarkers in the COAD. Then, we constructed the risk model to provide a theoretical basis and reference value for the research and treatment of COAD.
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This study identified four methylated biomarkers in COAD and constructed a prognostic risk model based on them.
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Metastasis Gene Expression Profile Predicts Recurrence and Death in Colon Cancer Patients (Moffitt Samples)
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37818334", "kind": "science-record", "revision": 3, "content_hash": "sha256:8c2ec837327e84aec57c944e32ad2b5733b31767bbebd56140ab62caca6946e7", "created_at": "2026-11-01T19:02:40Z", "updated_at": "2026-11-01T22:10:26Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Construction of a Prognostic Model Based on Methylation-Related Genes in Patients with Colon Adenocarcinoma.", "doi": "10.2147/CMAR.S417897", "pmid": "37818334", "authors": ["ZhenDong Liu", "YuYang Xu", "Shan Jin", "Xin Liu", "BaoChun Wang"], "journal": "Cancer management and research", "year": 2023, "abstract": "Purpose: Colon adenocarcinoma (COAD) is the second leading cause of death in the world, and the new incidence rate ranks third among all cancers. Abnormal DNA methylation is related to the occurrence and development of tumors. In this study, we aimed to identify genes associated with abnormal methylation in COAD.\nMethods: COAD transcriptome data, methylation data and clinical information were downloaded from the TCGA database and GEO database. The differentially expressed genes (DEGs) and methylated genes (DMGs) were analyzed and identified in COAD. PCA analysis was applied to divide COAD into subtypes, and the survival and immune cell infiltration of each subtype were evaluated. Cox and LASSO analyses were performed to construct COAD risk model. GSEA was used to evaluate the enrichment pathways. The Kaplan-Meier was used to analyze the difference in survival. ROC curve was plotted to evaluate the accuracy of the model, and GSE17536 was used to verify the accuracy of the risk model. The risk model is combined with the clinicopathological characteristics of COAD patients to perform multivariate Cox regression analysis to obtain independent risk factors and draw nomograms.\nResults: In total, 4564 DEGs and 1093 DMGs were screened, among which 298 were found to be overlapping genes. For 220 of these overlapping genes, the methylation was significantly negatively correlated to expression levels. An optimal signature from 4 methylated biomarkers was identified to construct the prognostic model.\nConclusion: Our study identified 4 methylated biomarkers in the COAD. Then, we constructed the risk model to provide a theoretical basis and reference value for the research and treatment of COAD.", "claims": [{"id": "claim-method", "statement": "Cox and LASSO analyses were performed to construct COAD risk model.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37818334", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Cox and LASSO analyses were performed to construct COAD risk model."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The gene expression, methylation, and clinical data are available from NCBI Gene Expression Omnibus (GEO: GSE17536) https://www.ncbi.nlm.nih.gov/geo/ and the cancer genome database (TCGA: COAD) https://portal.gdc.cancer.gov. The RT-qPCR data are available from the corresponding author upon request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37818334", "locator": "sections[23] \"Data Sharing Statement\" paragraph 2", "quote": "The gene expression, methylation, and clinical data are available from NCBI Gene Expression Omnibus (GEO: GSE17536) https://www.ncbi.nlm.nih.gov/geo/ and the cancer genome database (TCGA: COAD) https://portal.gdc.cancer.gov. The RT-qPCR data are available from the corresponding author upon request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "This study identified four methylated biomarkers in COAD and constructed a prognostic risk model based on them.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37818334", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "Our study identified 4 methylated biomarkers in the COAD. 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