Migrasome-Related Prognostic Genes in Gastric Cancer: A Transcriptomic and Immunotherapeutic Analysis
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View abstract on PubMed
Summary
This summary is machine-generated.This study identifies eight migrasome-related genes as prognostic markers for gastric cancer (GC). The developed risk model aids in personalized GC treatment strategies and understanding disease pathogenesis.
Area Of Science
- Oncology
- Molecular Biology
- Bioinformatics
Background
- Gastric cancer (GC) is a leading cause of cancer death with complex pathogenesis.
- Migrasomes, newly discovered organelles, influence tumor microenvironments and immune responses, but their role in GC is unclear.
Purpose Of The Study
- To identify migrasome-related genes (MRGs) with prognostic value in gastric cancer.
- To develop a predictive model for gastric cancer prognosis and explore therapeutic targets.
Main Methods
- Integrated transcriptomic data from TCGA and GEO databases with 35 MRGs.
- Utilized bioinformatics analyses, including LASSO and Cox regression, for prognostic model construction.
- Performed GSEA, immune infiltration analysis, and drug sensitivity evaluation, validated key gene expressions via RT-qPCR.
Main Results
- Identified eight prognostic MRGs: BMP1, CPQ, PDGFD, TSPAN5, TSPAN7, TGFB2, WNT11, and LEFTY1.
- Developed a risk model with predictive performance (AUC > 0.6) and linked it to TGF-β signaling and immune microenvironment features.
- Validated upregulation of BMP1, LEFTY1, TGFB2, and downregulation of TSPAN5 in GC tissues.
Conclusions
- Eight MRGs hold prognostic significance in gastric cancer.
- The established risk model offers novel molecular markers and potential therapeutic targets for personalized GC treatment.
- Findings provide critical insights into GC pathogenesis and innovative treatment strategies.
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