ArticleJournal of gastrointestinal oncology2023
Screening of key genes related to ferroptosis and a molecular interaction network analysis in colorectal cancer using machine learning and bioinformatics.
Article in Journal of gastrointestinal oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 4 citations in OpenAlex.
- Immunohistochemical investigation of transferrin receptor 2 (TFR2) immunoreactivity in patients with cutaneous lichen planus.Irish journal of medical science · 2026Article
- Research advances in single-molecule multi-target strategies targeting ferroptosis for colorectal cancer treatment.American journal of cancer research · 2026Review
- Carbonic Anhydrase Inhibitors in Oncology.Sub-cellular biochemistry · 2026Review
- Review
- Co-vulnerabilities of inhibiting carbonic anhydrase IX in ferroptosis-mediated tumor cell death.Frontiers in molecular biosciences · 2023Review
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
Background: This study sought to identify the key genes and molecular interactions related to ferroptosis in colorectal cancer (CRC) using machine-learning and bioinformatics analyses. Methods: The Gene Expression Omnibus (National Institutes of Health, US) datasets for CRC were downloaded from the National Center for Biotechnology Information (NCBI) (https://www.ncbi.nlm.nih.gov/). The 291 ferroptosis genes were downloaded and screened from the FerrDb (http://www.zhounan.org/ferrdb) and GeneCards (https://www.genecards.org/) databases. The least absolute shrinkage and selection operator regression model and support vector machine model were constructed to identify the different ferroptosis-related hub genes. The immune infiltrates were identified and a survival curve analysis was conducted. Results: We identified 11 ferroptosis-related differentially expressed genes (DEGs) from the COADREAD (Colon and Rectal Cancer) dataset. We found that angiopoietin-related protein 7 ( Conclusions: Our study identified 4 ferroptosis-related DEGs in CRC (i.e.,
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Registered trials
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 OpenQuestion graph.