ArticleWorld journal of clinical cases2021
Prognostic implications of ferroptosis-associated gene signature in colon adenocarcinoma.
Article in World journal of clinical cases, 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.
- ALOX12 suppresses colon cancer progression by promoting p53-mediated ferroptosis through upregulating ROS-induced stress.Translational cancer research · 2026Article
- Advances in ferroptosis for castration-resistant prostate cancer treatment: novel drug targets and combination therapy strategies.Prostate cancer and prostatic diseases · 2026Review
- CRYAB Promotes Colorectal Cancer Progression by Inhibiting Ferroptosis Through Blocking TRIM55-Mediated β-Catenin Ubiquitination and Degradation.Digestive diseases and sciences · 2024Article
- Emerging glyco-risk prediction model to forecast response to immune checkpoint inhibitors in colorectal cancer.Journal of cancer research and clinical oncology · 2023Article
- Article
- Establishing a Proteomics-Based Signature of AKR1C3-Related Genes for Predicting the Prognosis of Prostate Cancer.International journal of molecular sciences · 2023Article
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Authors and funding
4 authors.
Funding
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Abstract
backgroundColon adenocarcinoma (COAD) is one of the most common and fatal malignant tumors, which increases the difficulty of prognostic predictions. Thus, new biomarkers for the diagnosis and prognosis of COAD should be explored. Ferroptosis is a recently identified programmed cell death process that has the characteristics of iron-dependent lipid peroxide accumulation. However, the predictive value of ferroptosis-related genes (FRGs) for COAD still needs to be further clarified.
aimTo identify some critical FRGs and construct a COAD patient prognostic signature for clinical utilization.
methodsThe Cancer Genome Atlas database (TCGA) and Gene Expression Omnibus databases were the data sources for mRNA expression and corresponding COAD patient clinical information. Differentially expressed FRGs were recognized using R and Perl software. We constructed a multi-FRG signature of the TCGA-COAD cohort by performing a univariate Cox regression and least absolute shrinkage and selection operator Cox regression analysis. COAD patients from the Gene Expression Omnibus cohort were utilized for verification.
resultsOur research showed that most of the FRGs (85%) were differentially expressed between the corresponding adjacent normal tissues and cancer tissues in the TCGA-COAD cohort. Seven FRGs were related to overall survival (OS) in the univariate Cox analysis (all
conclusionIn conclusion, a novel five FRG model can be utilized for predicting prognosis in COAD. Targeting ferroptosis may be a treatment option for COAD.
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