A prognostic signature of fatty acid metabolism-related genes for predicting survival of gastric cancer patients
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View abstract on PubMed
Summary
This summary is machine-generated.This study identifies a four-gene fatty acid metabolism (FAM) signature that predicts overall survival in gastric cancer (GC) patients. The signature effectively stratifies patients into high-risk and low-risk groups, aiding clinical management.
Area Of Science
- Oncology
- Molecular Biology
- Genetics
Background
- Gastric cancer (GC) remains a significant global health challenge with variable patient outcomes.
- Fatty acid metabolism (FAM) plays a crucial role in cancer progression and presents potential therapeutic targets.
- Identifying robust prognostic markers is essential for improving GC patient management.
Purpose Of The Study
- To analyze the expression profile of FAM-related genes in GC.
- To develop a prognostic signature based on FAM genes for GC patients.
- To evaluate the clinical utility of this signature for predicting overall survival (OS).
Main Methods
- Utilized TCGA database for mRNA expression profiles of 493 FAM-related genes.
- Identified differentially expressed genes (DEGs) between GC and normal samples.
- Developed a prognostic signature using LASSO regression and validated it with an external cohort (GSE62254).
Main Results
- Identified 93 DEGs, with 44 downregulated and 49 upregulated.
- Developed a four-gene prognostic signature (ACBD5, AVPR1A, ELOVL4, FAAH).
- High-risk patients exhibited significantly shorter OS (5-year OS: 26.3% vs. 45.0%, p<0.001 in TCGA).
- The signature demonstrated independent predictive value for OS in both cohorts (TCGA HR: 1.851, GSE62254 HR: 1.549).
Conclusions
- A four-gene FAM-related prognostic signature is a valuable tool for predicting OS in GC patients.
- This signature can aid in clinical decision-making and personalized treatment strategies for GC.
- Further research can explore the functional roles of these FAM genes in GC pathogenesis.
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