ArticleFunctional & integrative genomics2022
Identification and validation of a pyroptosis-related prognostic model for colorectal cancer.
Article in Functional & integrative genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Chemokines as Prognostic Factor in Colorectal Cancer Patients: A Systematic Review and Meta-Analysis.International journal of molecular sciences · 2024Pooled it
- Integrative Bioinformatics and Experimental Validation Establish CCNB1 as a Potential Biomarker for Diagnosis and Prognosis in Colorectal Cancer.Current issues in molecular biology · 2025Article
- Comprehensive analysis of prognosis and drug sensitivity of programmed cell death pattern-related genes in gastric cancer patients.Scientific reports · 2025Article
- Article
- Development of a machine learning-derived programmed cell death index for prognostic prediction and immune insights in colorectal cancer.Discover oncology · 2025Article
- Molecular characteristics, clinical significance and cancer‑immune interactions of pyroptosis‑related genes in colorectal cancer.Oncology letters · 2025Article
- Immune alterations and overexpression of CTCF in endometrial carcinoma: insights from molecular subtyping.Cancer cell international · 2024Article
- C6 and KLRG2 are pyroptosis subtype-related prognostic biomarkers and correlated with tumor-infiltrating lymphocytes in lung adenocarcinoma.Scientific reports · 2024Article
- Research progress on the effect of pyroptosis on the occurrence, development, invasion and metastasis of colorectal cancer.World journal of gastrointestinal oncology · 2024Review
- Consensus clustering and development of a risk signature based on trajectory differential genes of cancer-associated fibroblast subpopulations in colorectal cancer.Journal of cancer research and clinical oncology · 2024Article
- ETV7 promotes colorectal cancer progression through upregulation of IFIT3.Functional & integrative genomics · 2024Article
- A prospective prognostic signature for pancreatic adenocarcinoma based on ubiquitination-related mRNA-lncRNA with experimental validation in vitro and vivo.Functional & integrative genomics · 2023Article
- Pan-cancer evidence of prognosis, immune infiltration, and immunotherapy efficacy for annexin family using multi-omics data.Functional & integrative genomics · 2023Article
- miR-3133 is an unfavorable prognosis factor and tumor suppressor in colon cancer.Functional & integrative genomics · 2023Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we explored the pyroptosis-related biomarkers and signatures of colorectal cancer (CRC). Gene expression profiles were downloaded from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA)-COADREAD and were analyzed for differentially expressed genes (DEGs). DEGs in CRC‒pyroptosis-related genes (CRC‒PRGs) were obtained by intersecting DEGs associated with CRC and PRGs. The CRC‒PRGs were verified; functional enrichment analysis was performed with Gene Ontology (GO) followed by cluster analysis. Cox analyses and LASSO regression were used in TCGA dataset to construct a prognostic model for patients with CRC. A prognostic risk assessment model was constructed and efficacy was evaluated. Decision curve analysis was utilized to assess the role of the Lasso-Cox regression prognostic model for clinical utility at 1, 3, and 5 years. Twelve CRC‒PRGs were identified as prognostic pyroptosis-related DEGs. CXCL8, IL13RA2, MELK, and POP1 were selected as prognostic genes to construct features with a good prognostic performance in GEO and TCGA. Functional enrichment indicated that the 4-gene signature might be involved in CRC tumorigenesis and development through various pathways by playing a prognostic role in CRC. Furthermore, the results of the immune landscape analysis showed that the expression of CXCL8 and IL13RA2 in TCGA-COADREAD dataset was positively correlated with significant differential enrichment of most immune cells. A novel prognostic model consisting of four key genes, CXCL8, IL13RA2, MELK, and POP1, can accurately predict the survival of patients with CRC. This finding may provide a new perspective for the treatment of pyroptosis-related CRC.
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