ArticleBiomolecules2022
Clinical Significance and Immune Infiltration Analyses of the Cuproptosis-Related Human Copper Proteome in Gastric Cancer.
Article in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Predicting Immunotherapy Efficacy with Machine Learning in Gastrointestinal Cancers: A Systematic Review and Meta-Analysis.International journal of molecular sciences · 2025Pooled it
- The role of copper and cuproptosis in digestive system cancers: novel therapeutic strategies and mechanistic insights.Cancer biology & therapy · 2026Review
- Reprogramming of cell death in gastric cancer: From molecular mechanisms to therapeutic potential (Review).International journal of molecular medicine · 2026Review
- Copper Homeostasis, Emerging Central Players in Cancer Immunotherapy.Journal of cellular and molecular medicine · 2025Review
- NLRP3 inflammasome expression affects immune cell infiltration and clinical prognosis inMolecular medicine reports · 2025Article
- Beyond Biomarkers: Machine Learning-Driven Multiomics for Personalized Medicine in Gastric Cancer.Journal of personalized medicine · 2025Review
- Cuproptosis-related signature and immune infiltration in age-related macular degeneration.International journal of ophthalmology · 2025Article
- The role of cuproptosis in the occurrence and development of gastric cancer.Frontiers in pharmacology · 2025Review
- Multi-omics analysis of the prognostic and biological role of cuproptosis-related gene in gastric cancer.Journal of gastrointestinal oncology · 2024Article
- Copper-binding protein modelling by single-cell transcriptome and Bulk transcriptome to predict overall survival in lung adenocarcinoma patients.Journal of Cancer · 2024Article
- The role of cuproptosis in gastric cancer.Frontiers in immunology · 2024Review
- A novel copper-induced cell death-related lncRNA prognostic signature associated with immune infiltration and clinical value in gastric cancer.Journal of cancer research and clinical oncology · 2023Article
- Copper-binding proteins genes set predicting the overall survival and immune infiltration in hepatocellular carcinoma by bioinformatic analysis.Biochemistry and biophysics reports · 2023Article
- Gasdermin D Plays an Oncogenic Role in Glioma and Correlates to an Immunosuppressive Microenvironment.Biomolecules · 2023Article
- A Five Glutamine-Associated Signature Predicts Prognosis of Prostate Cancer and Links Glutamine Metabolism with Tumor Microenvironment.Journal of clinical medicine · 2023Article
- A cuproptosis-related signature for predicting the prognosis of gastric cancer.Journal of gastrointestinal oncology · 2023Article
- Article
- The role of ARL4C in predicting prognosis and immunotherapy drug susceptibility in pan-cancer analysis.Frontiers in pharmacology · 2023Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe human copper Cu proteome, also termed Cu-binding proteins (CBP), is responsible for transporting "free" Cu to the cell that is related to cuproptosis. However, their role in gastric cancer (GC) has not been reported.
methodsRNA expression data of 946 GC patients were collected. A series of machine learning and bioinformatic approaches were combined to build a CBP signature to predict survival and immune microenvironment and guide the priority treatment. Immunohistochemistry and multicolor immunofluorescence (mIF) in 1076 resection slides were used to verify immune features.
resultsA CBP signature was constructed using the machine learning method from TCGA that classifies cases as CBP_low and CBP_high groups. Multivariable Cox analysis confirmed that the CBP signature was an independent prognostic factor in the training and validation cohorts. Additionally, GC patients with low CBPscores showed an increase in anti-tumor immune microenvironment, which was further verified by mIF in pathological resections following immunotherapy. Importantly, patients with low CBPscores had higher levels of TMB/MSI and responded well to immunotherapy.
conclusionsWe conducted the first and comprehensive CBP analysis of GC patients and established a clinically feasible CBP signature for predicting survival and response to treatment, which will be helpful for guiding personalized medicine.
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