ArticleFrontiers in oncology2022
Prognostic and Predictive Models for Left- and Right- Colorectal Cancer Patients: A Bioinformatics Analysis Based on Ferroptosis-Related Genes.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 19 citations in OpenAlex.
- Article
- Exploring Predictive and Prognostic Biomarkers in Colorectal Cancer: A Comprehensive Review.Cancers · 2024Review
- NOS2 Polymorphism in Aspect of Left and Right-Sided Colorectal Cancer.Journal of clinical medicine · 2024Article
- Ferroptosis: the balance between death and survival in colorectal cancer.International journal of biological sciences · 2024Review
- Construction and Validation of Novel Ferroptosis-related Risk Score Signature and Prognostic Prediction Nomogram for Patients with Colorectal Cancer.International journal of medical sciences · 2024Article
- Integrating ferroptosis-related genes (FRGs) and prognostic models to enhance UCEC outcome prediction and therapeutic insights.Journal of applied genetics · 2023Article
- Tumor microenvironment characterization in colorectal cancer to identify prognostic and immunotherapy genes signature.BMC cancer · 2023Article
- Development of a prognostic model based on ferroptosis-related genes for colorectal cancer patients and exploration of the biological functions of NOS2Frontiers in oncology · 2023Article
- The Role of RNA Methylation Modification Related Genes in Prognosis and Immunotherapy of Colorectal Cancer.International journal of general medicine · 2023Article
- Construction of a DDR-related signature for predicting of prognosis in metastatic colorectal carcinoma.Frontiers in oncology · 2023Article
- Insights on Ferroptosis and Colorectal Cancer: Progress and Updates.Molecules (Basel, Switzerland) · 2022Review
- Ferroptosis-based nano delivery systems targeted therapy for colorectal cancer: Insights and future perspectives.Asian journal of pharmaceutical sciences · 2022Review
- Machine learning identification of cuproptosis and necroptosis-associated molecular subtypes to aid in prognosis assessment and immunotherapy response prediction in low-grade glioma.Frontiers in genetics · 2022Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Left- and right-sided colorectal cancer (LCRC, RCRC) are significantly different in epidemiology and clinical manifestations and have altered outcomes. However, as a hot tumor prognostic marker, the role of ferroptosis-related genes (FRGs) in LCRC and RCRC is unknown. Methods: From The Cancer Genome Atlas (TCGA) database, we downloaded the expression profiles of CRC patients. A "DESeq2" package was performed to compare the differentially expressed genes (DEGs) of LCRC and RCRC. FRGs were identified using the FerrDb. The prognostic value of differentially expressed FRG (DE-FRG) in left- and right-CRC was assessed separately by Cox regression analysis. Subsequently, functional enrichment analysis, ESTIMATE, and single sample Gene Set Enrichment Analysis (ssGSEA) were performed based on LCRC and RCRC samples to reveal the potential function of FRGs-related risk signatures. The differential expression of FRGs in tumor tissues and adjacent normal tissues were verified by Western blot. The differential expression and prognosis in LCC and RCC were verified by immunohistochemistry. Results: Based on the identified 14 DE-FRGs, the LCRC prognostic model consisted of Conclusion: This study constructed a potential prognostic model of LCRC and RCRC, respectively. We also identified the crucial pathways that contribute to elucidating the pathogenesis of CRC.
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