ArticleFrontiers in molecular biosciences2022
Screening of ferroptosis-related genes with prognostic effect in colorectal cancer by bioinformatic analysis.
Article in Frontiers in molecular biosciences, 2022. 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, 8 citations in OpenAlex.
- Identification of key ferroptosis-related targets in colorectal cancer: A transcriptomics-driven study via machine learning and AUcell analysis of single-cell RNA-sequencing.Journal of Cancer · 2026Article
- Ferroptosis: Frenemy of Radiotherapy.International journal of molecular sciences · 2024Review
- Ferroptosis: the balance between death and survival in colorectal cancer.International journal of biological sciences · 2024Review
- Characterization of butyrate-metabolism in colorectal cancer to guide clinical treatment.Scientific reports · 2023Article
- Molecular characteristics, clinical significance, and immune landscape of extracellular matrix remodeling-associated genes in colorectal cancer.Frontiers in oncology · 2023Article
- Analysis of the correlation between non-alcoholic fatty liver disease and the risk of colorectal neoplasms.Frontiers in pharmacology · 2022Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
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Abstract
Colorectal cancer (CRC) remains a common malignant tumor of digestive tract with high incidence rate and high mortality in the worldwide. The current clinical treatments of CRC often fail to achieve satisfactory results. Searching for more effective prediction or prognosis biomarkers, or developing more targeted therapeutic schedule may help to improve the outcomes of CRC patients. Here, we tried to study the effect of ferroptosis-related genes on CRC prognosis and make it clearer that ferroptosis has connection with immune environment. First, we obtained gene expression data of CRC and normal tissues, as well as corresponding clinical data from the Gene Expression Omnibus (GEO) database and the Cancer Genome Atlas (TCGA) database. The differentially expressed genes (DEGs) were intersected with ferroptosis-related gene set downloaded from FerrDb database, and 93 abnormally expressed ferroptosis-related genes were obtained. Then, these genes were analyzed for functional enrichment. Univariate Cox regression and multivariate Cox regression analyses were performed to establish prognostic model based on ferroptosis-related genes. In the process of exploring the correlation between prognostic genes and immune infiltration, we found that these genes were closely related to B cells, CD8
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