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This is a Quantitative Study study (also classified as: Experimental Study).

Exploring Gastric Cancer-Related Genes and Clinical Significance Analysis Based on Bioinformatics

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Analysis identified 120 differentially expressed genes relevant to gastric cancer outcomes and treatment.
Core genes, including COL1A1 and TIMP1, were significantly linked to poor patient prognoses with a p-value < 0.01.
PPI network analysis revealed 10 crucial genes that may influence immune response within gastric cancer microenvironments.
Functional enrichment showed key pathways related to muscle cytoskeleton and nutrient absorption, affecting cancer progression.

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Bioinformatics methods identify core genes linked to gastric cancer, highlighting their prognostic value and immune infiltration roles.

Ye et al. (2025) studied this question.

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