ArticleJournal of cell communication and signaling2023
Identification of ZMYND19 as a novel biomarker of colorectal cancer: RNA-sequencing and machine learning analysis.
Article in Journal of cell communication and signaling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 13 citations in OpenAlex.
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- MTHFD1L is a novel prognostic marker and therapeutic target in cutaneous melanoma.Diagnostic pathology · 2025Article
- The immunosuppressive role of VSIG4 in colorectal cancer and its interaction with the tumor microenvironment.Discover oncology · 2025Article
- Identification of miR-20a as a Diagnostic and Prognostic Biomarker in Colorectal Cancer: MicroRNA Sequencing and Machine Learning Analysis.MicroRNA (Shariqah, United Arab Emirates) · 2025Article
- Identification of Novel lncRNAs Related to Colorectal Cancer Through Bioinformatics Analysis.BioMed research international · 2025Article
- The diagnostic and prognostic value ofBioImpacts : BI · 2025Article
- Identification of Prognostic and Diagnostic Biomarkers for Glioma Utilizing Immune System Gene Profiling.Medical journal of the Islamic Republic of Iran · 2025Article
- Comprehensive analysis and validation of the prognostic significance of cuproptosis-related genes in rectal adenocarcinoma.Frontiers in cell and developmental biology · 2025Article
- The Therapeutic Potential of Targeting Tumor Microenvironment and Modulation of Immunotherapy in Gastrointestinal Cancer.Current cancer drug targets · 2025Review
- The G Protein-Coupled Receptor-Related Gene Signatures for Diagnosis and Prognosis in Glioblastoma: A Deep Learning Model Using RNA-Seq Data.Asian Pacific journal of cancer prevention : APJCP · 2024Article
- Artificial intelligence and bioinformatics: a journey from traditional techniques to smart approaches.Gastroenterology and hepatology from bed to bench · 2024Review
- Bioinformatics analysis and machine learning approach applied to the identification of novel key genes involved in non-alcoholic fatty liver disease.Scientific reports · 2023Article
- Down regulation of Cathepsin W is associated with poor prognosis in pancreatic cancer.Scientific reports · 2023Article
- The Prognostic Value ofCancers · 2023Article
Corrections and comments
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Authors and funding
14 authors at 7 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer (CRC) is the third most common cause of cancer-related deaths. The five-year relative survival rate for CRC is estimated to be approximately 90% for patients diagnosed with early stages and 14% for those diagnosed at an advanced stages of disease, respectively. Hence, the development of accurate prognostic markers is required. Bioinformatics enables the identification of dysregulated pathways and novel biomarkers. RNA expression profiling was performed in CRC patients from the TCGA database using a Machine Learning approach to identify differential expression genes (DEGs). Survival curves were assessed using Kaplan-Meier analysis to identify prognostic biomarkers. Furthermore, the molecular pathways, protein-protein interaction, the co-expression of DEGs, and the correlation between DEGs and clinical data have been evaluated. The diagnostic markers were then determined based on machine learning analysis. The results indicated that key upregulated genes are associated with the RNA processing and heterocycle metabolic process, including C10orf2, NOP2, DKC1, BYSL, RRP12, PUS7, MTHFD1L, and PPAT. Furthermore, the survival analysis identified NOP58, OSBPL3, DNAJC2, and ZMYND19 as prognostic markers. The combineROC curve analysis indicated that the combination of C10orf2 -PPAT- ZMYND19 can be considered as diagnostic markers with sensitivity, specificity, and AUC values of 0.98, 1.00, and 0.99, respectively. Eventually, ZMYND19 gene was validated in CRC patients. In conclusion, novel biomarkers of CRC have been identified that may be a promising strategy for early diagnosis, potential treatment, and better prognosis.
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