Exploring copper metabolism-induced cell death in gastric cancer: a single-cell RNA sequencing study and prognostic model development
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View abstract on PubMed
Summary
This summary is machine-generated.This study reveals copper metabolism
Area Of Science
- Oncology
- Molecular Biology
- Genomics
Background
- Gastric cancer (GC) is a leading cause of cancer death globally, with poor survival rates.
- Copper metabolism's role in GC progression, especially at the single-cell level, remains unclear.
Purpose Of The Study
- Investigate copper metabolism in GC using single-cell RNA sequencing (scRNA-seq).
- Develop a prognostic model based on copper metabolism-related genes (CMRGs).
- Explore copper metabolism's impact on the tumor microenvironment and identify therapeutic targets.
Main Methods
- Analyzed scRNA-seq data from GC and normal tissues.
- Utilized Non-negative matrix factorization (NMF) for T cell subpopulation analysis.
- Developed and validated a prognostic model using LASSO regression and Random Survival Forest (RSF).
Main Results
- Identified nine distinct cell types and five copper metabolism-related T cell subtypes.
- A prognostic model based on nine CMRGs showed significant survival differences between risk groups.
- High-risk patients exhibited shorter survival, increased immune infiltration, and altered immune responses.
Conclusions
- Copper metabolism significantly influences gastric cancer progression and the tumor microenvironment.
- A nine-gene prognostic model effectively predicts patient survival in GC.
- Targeting copper metabolism may offer novel therapeutic strategies for gastric cancer.
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