ArticleCancer biomarkers : section A of Disease markers2022
Multi-OMICs data analysis identifies molecular features correlating with tumor immunity in colon cancer.
Article in Cancer biomarkers : section A of Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 5 citations in OpenAlex.
- Revealing the Action Mechanism of Exogenous Hydrogen Sulfide Intervention in Colorectal Cancer Pathogenesis Based on Multiomics Analysis and Experimental Validation.Human mutation · 2026Article
- P53 Inhibition Diminishes IGSF9 Gene Activity to Promote DNA Repair and Exacerbate the Progression of Colon Cancer.Journal of biochemical and molecular toxicology · 2026Article
- GBP5 as a prognostic biomarker associated with immune cell infiltration, migration and invasion in clear cell renal cell carcinoma.Oncology letters · 2025Article
- Guanylate-binding protein 5: a promising biomarker and therapeutic target.Infection and immunity · 2025Review
- Whole-Genome DNA Methylation Profiling of Intrahepatic Cholangiocarcinoma Reveals Prognostic Subtypes with Distinct Biological Drivers.Cancer research · 2024Article
- Intratumor APOL3 delineates a distinctive immunogenic ferroptosis subset with prognosis prediction in colorectal cancer.Cancer science · 2024Article
- GBP5 Identifies Immuno-Hot Tumors and Predicts the Therapeutic Response to Immunotherapy in NSCLC.International journal of general medicine · 2023Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is a current need for new markers with higher sensitivity and specificity to predict immune status and optimize immunotherapy use in colon cancer.
objectiveWe aimed to investigate the multi-OMICs features associated with colon cancer immunity and response to immunotherapy.
methodsWe evaluated the association of multi-OMICs data from three colon cancer datasets (TCGA, CPTAC2, and Samstein) with antitumor immune signatures (CD8+ T cell infiltration, immune cytolytic activity, and PD-L1 expression). Using the log-rank test and hierarchical clustering, we explored the association of various OMICs features with survival and immune status in colon cancer.
resultsTwo gene mutations (TERT and ERBB4) correlated with antitumor cytolytic activity found also correlated with improved survival in immunotherapy-treated colon cancers. Moreover, the expression of numerous genes was associated with antitumor immunity, including GBP1, GBP4, GBP5, NKG7, APOL3, IDO1, CCL5, and CXCL9. We clustered colon cancer samples into four immuno-distinct clusters based on the expression levels of 82 genes. We have also identified two proteins (PREX1 and RAD50), ten miRNAs (hsa-miR-140, 146, 150, 155, 342, 59, 342, 511, 592 and 1977), and five oncogenic pathways (CYCLIN, BCAT, CAMP, RB, NRL, EIF4E, and VEGF signaling pathways) significantly correlated with antitumor immune signatures.
conclusionThese molecular features are potential markers of tumor immune status and response to immunotherapy.
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