ArticleBMC medical genomics2021
Gene expression and DNA methylation analyses suggest that two immune related genes are prognostic factors of colorectal cancer.
Article in BMC medical genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- Quantitative Top-Down Proteomics Reveals Significant Differences in Histone Proteoforms Between Metastatic and Nonmetastatic Colorectal Cancer Cells.Proteomics · 2025Article
- NOS2 as a prognostic biomarker for early-onset colorectal cancer based on public data and clinical validation analysis.Scientific reports · 2025Article
- Development and validation of epigenetic modification-related signals for the diagnosis and prognosis of colorectal cancer.BMC genomics · 2024Article
- Bioinformatics-based identification of lipid- and immune-related biomarkers in abdominal aortic aneurysms.Heliyon · 2023Article
- Identification of the prognostic signature based on genomic instability-related alternative splicing in colorectal cancer and its regulatory network.Frontiers in bioengineering and biotechnology · 2022Article
- Immune-Related lncRNAs to Construct Novel Signatures and Predict the Prognosis of Rectal Cancer.Frontiers in oncology · 2021Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundColorectal cancer (CRC) is the second most prevalent cancer, as it accounts for approximately 10% of all annually diagnosed cancers. Studies have indicated that DNA methylation is involved in cancer genesis. The purpose of this study was to investigate the relationships among DNA methylation, gene expression and the tumor-immune microenvironment of CRC, and finally, to identify potential key genes related to immune cell infiltration in CRC.
methodsIn the present study, we used the ChAMP and DESeq2 packages, correlation analyses, and Cox regression analyses to identify immune-related differentially expressed genes (IR-DEGs) that were correlated with aberrant methylation and to construct a risk assessment model.
resultsFinally, we found that HSPA1A expression and CCRL2 expression were positively and negatively associated with the risk score of CRC, respectively. Patients in the high-risk group were more positively correlated with some types of tumor-infiltrating immune cells, whereas they were negatively correlated with other tumor-infiltrating immune cells. After the patients were regrouped according to the median risk score, we could more effectively distinguish them based on survival outcome, clinicopathological characteristics, specific tumor-immune infiltration status and highly expressed immune-related biomarkers.
conclusionThis study suggested that the risk assessment model constructed by pairing immune-related differentially expressed genes correlated with aberrant DNA methylation could predict the outcome of CRC patients and might help to identify those patients who could benefit from antitumor immunotherapy.
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