Adipocytes impact on gastric cancer progression: Prognostic insights and molecular features
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View abstract on PubMed
Summary
This summary is machine-generated.High adipocyte infiltration in gastric cancer (GC) indicates a poor prognosis and aggressive tumor biology. Key genes like ADH1B and SFRP1 show diagnostic and prognostic significance in GC.
Area Of Science
- Oncology
- Cancer Biology
- Tumor Microenvironment
Background
- Adipocytes within tumor tissue, known as cancer-associated adipocytes, play a crucial role in the gastric cancer (GC) tumor microenvironment.
- Their impact on GC progression and patient outcomes is a growing area of research interest.
Purpose Of The Study
- Investigate adipocyte infiltration in GC and its correlation with clinical features.
- Develop a prognostic model for GC based on adipocyte-related factors.
- Evaluate the influence of adipocytes on immune cell infiltration and tumor invasiveness.
- Identify and validate genes associated with high adipocyte expression for diagnostic and prognostic potential.
Main Methods
- Utilized mRNA microarray datasets (Gene Expression Omnibus) and clinical samples for survival and regression analyses.
- Employed LASSO and SVM-RFE algorithms for feature gene selection.
- Conducted differential gene expression, GO, pathway, and GSEA analyses.
- Analyzed immune cell infiltration using the CIBERSORT algorithm.
Main Results
- Tumor adipocyte infiltration correlated with poorer GC prognosis, leading to a predictive model.
- Identified ADH1B, SFRP1, PLAC9, and FABP4 as key genes associated with high adipocyte expression.
- Validated the diagnostic and prognostic potential of these genes in independent datasets.
- Observed decreased immune cell infiltration in GC with high adipocyte expression.
Conclusions
- Gastric cancer with high intratumoral adipocyte expression exhibits aggressive behavior and worse prognosis.
- ADH1B, SFRP1, PLAC9, and FABP4 are significant diagnostic and prognostic biomarkers in GC.
- Adipocyte expression serves as a valuable indicator of tumor invasiveness and patient outcomes in GC.
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