ArticleDisease markers2021
Identification of a Novel Ferroptosis-Related Gene Prediction Model for Clinical Prognosis and Immunotherapy of Colorectal Cancer.
Article in Disease markers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- Recent research progress and clinical status of immunotherapy for colorectal cancer.Journal of advanced research · 2026Review
- Role and mechanism of gut microbiota in regulating interferon-mediated programmed cell death in colorectal cancer.Frontiers in immunology · 2025Review
- Enhancing Colorectal Cancer Immunotherapy: The Pivotal Role of Ferroptosis in Modulating the Tumor Microenvironment.International journal of molecular sciences · 2024Review
- The role of ferroptosis in colorectal cancer and its potential synergy with immunotherapy.Frontiers in immunology · 2024Review
- Role of ferroptosis in colorectal cancer.World journal of gastrointestinal oncology · 2023Review
- Insights on Ferroptosis and Colorectal Cancer: Progress and Updates.Molecules (Basel, Switzerland) · 2022Review
- Targeting Ferroptosis in Colorectal Cancer.Metabolites · 2022Review
- Predictive biomarkers of colon cancer immunotherapy: Present and future.Frontiers in immunology · 2022Review
- Screening of ferroptosis-related genes with prognostic effect in colorectal cancer by bioinformatic analysis.Frontiers in molecular biosciences · 2022Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundColorectal cancer (CRC) is the third most common malignancies worldwide. Ferroptosis is a programmed, iron-dependent cell death observed in cancer cells. However, the prognostic potential and immunotherapy biomarker potential of ferroptosis-related genes (FRGs) in CRC patients remains to be clarified.
methodsAt first, we comprehensively analysed the different expression and prognosis of related FRGs in CRC patients based on TCGA cohort. The relationship between functional enrichment of these genes and immune microenvironment in CRC was investigated using the TCGA database. Prognostic model was constructed to determine the association between FRGs and the prognosis of CRC. Relative verification was done based on the GEO database. Meanwhile, the ceRNA network of FRGs in the model was also performed to explore the regulatory mechanisms.
resultsEight differentially expressed FRGs were associated with the prognosis of CRC patients. Patients from the TCGA database were classified into the A, B, and C FRG clusters with different features. And FRG scores were constructed to quantify the FRG pattern of individual patients with colorectal cancer. The CRC patients with higher FRG score showed worse survival outcomes, higher immune dysfunction, and lower response to immunotherapy. The prognostic model showed a high accuracy for predicting the OS of CRC. Finally, a ceRNA network was analysed to show the concrete regulation mechanisms of critical FRGs in CRC.
conclusionsThe FRG risk score prognostic model based on 8 FRGs exhibit superior predictive performance, providing a novel prognostic model with a high accuracy for CRC patients. Moreover, FRG score can be the potential biomarker of the response of immunotherapy for CRC.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.