ArticleJournal of Cancer2024
Decoding Gastric Cancer: Machine Learning Insights Into the Significance of COMMDs Family in Immunotherapy and Diagnosis.
Article in Journal of Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Bibliometric analysis of immune-related acute kidney injury induced by cancer immunotherapy (2000-2025).Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- A multicenter explainable machine learning analysis of autoimmune disease comorbidity in ankylosing spondylitis.Frontiers in immunology · 2026Article
- The role of CSTF2 in gastric cancer: implications for therapy.European journal of medical research · 2025Article
- The prognostic role of inflammation-based hematologic markers in stage I-III colorectal cancer: a retrospective analysis.BMC cancer · 2025Article
- PDK4 as a tumor suppressor in gastric cancer: implications for metabolic regulation, immune modulation, and prognostic potential.Discover oncology · 2025Article
- Single cell RNA sequencing decodes cellular heterogeneity and identifies prognostic immune signatures in bladder cancer microenvironment.Discover oncology · 2025Article
- Genetic evidence for causal association between platelet count and glioma risk through Mendelian randomization analysis.Discover oncology · 2025Article
- Constructing a bladder cancer prognostic model related to exosome using machine learning and identifying THBS1 as a potential target.Cancer cell international · 2025Article
- Spatial transcriptomic landscape and cellular neighborhood heterogeneity in cervical cancer: integrative single-cell and spatial RNA sequencing analysis.Discover oncology · 2025Article
- Unveiling the significance of ADAM12 through pan-cancer analysis and experimental verification in gastric cancer.Discover oncology · 2025Article
- Integrated bioinformatic and machine learning analysis identifies MCM7 and ADAM17 as potential biomarkers for early stage gastric cancer.Journal of gastrointestinal oncology · 2025Article
- Mendelian randomization and single-cell analysis reveal novel genetic risk factors and cellular heterogeneity in glioblastoma.Discover oncology · 2025Article
- Integration of single-cell and bulk RNA sequencing data to identify liquid-liquid phase separation-related prognostic biomarkers in hepatocellular carcinoma.Scientific reports · 2025Article
- Development and validation of a leukemia prognostic model through single-cell RNA sequencing and machine learning approaches.Discover oncology · 2025Article
- Comprehensive investigation identifies CPSF3 as a novel prognostic and oncogenic biomarker in bladder cancer.Discover oncology · 2025Article
- Untargeted metabolomics reveals gut microbiota metabolite alterations and their correlation with serum biomarkers in gastric cancer patients from high-altitude regions.Discover oncology · 2025Article
- Article
- Combined preoperative platelet-albumin ratio and cancer inflammation prognostic index predicts prognosis in colorectal cancer: a retrospective study.Scientific reports · 2025Article
- Integrating single-cell RNA sequencing and spatial transcriptomics reveals the therapeutic effect of nitazoxanide in head and neck squamous cell carcinoma.Discover oncology · 2025Article
- Single‑cell RNA sequencing reveals TMEM71 as an immunomodulatory biomarker predicting immune checkpoint blockade response in breast cancer.Discover oncology · 2025Article
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9 authors.
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Abstract
Copper, an indispensable trace element for the human body, serves not only as a crucial auxiliary factor in redox reactions within the organism but also as a significant constituent of numerous key metabolic enzymes. The COMMD family plays a vital role in regulating copper at both the cellular and systemic levels, particularly in the realm of tumor research, an area notably deficient in gastric cancer investigations. With the advancement of precision medical techniques, individualized and precise screening and treatment have become paramount considerations in the contemporary medical landscape for gastric cancer therapy. In light of this, we meticulously scrutinized existing transcriptomic datasets for gastric cancer, validating the expression levels and prognostic value of COMMD family genes. Simultaneously, employing the ssGSEA algorithm, we devised the COMMDs score. Enrichment analysis, gene mutations, and clinical features were incorporated into the assessment of this score. Furthermore, we contextualized the COMMDs score within the framework of the immune microenvironment, evaluating the relationship between the COMMDs family and immune factors as well as immune cells. The results suggest a correlation between the COMMDs score and various immune-related features. Based on this foundation, multiple machine learning approaches indicated Logistic Regression, with a remarkable ROC of 0.972, as the optimal diagnostic model. To accentuate the translational medical value of the COMMDs family, we selected COMMD10 as a differential gene in gastric cancer for further validation. Functional experiments revealed a decline in the proliferative and migratory capabilities of gastric cancer cells upon silencing COMMD10. Additionally, through pathway intervention, we unveiled the PI3K-AKT pathway as a potential mechanism through which COMMD10 influences gastric cancer activity. In summary, our study affirms the prospective role of the COMMDs family as potential markers for the diagnosis and treatment of gastric cancer in the future.
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