Exploring Prognostically Relevant Genes in Gastric Cancer via Gene Expression Profiling and Pathway Analysis

Exploring Prognostically Relevant Genes in Gastric Cancer

Authors

  • Momna Irfan Department of Biotechnology, Faculty of Sciences, International Institute of Science, Arts and Technology, Gujranwala, Pakistan
  • Shahzadi Noreen Department of Biotechnology, Faculty of Sciences, International Institute of Science, Arts and Technology, Gujranwala, Pakistan
  • Rizwan Ashraf Department of Biotechnology, Faculty of Sciences, International Institute of Science, Arts and Technology, Gujranwala, Pakistan
  • Saba Nawaz Department of Biotechnology, Faculty of Sciences, International Institute of Science, Arts and Technology, Gujranwala, Pakistan

DOI:

https://doi.org/10.69547/NS.32.01

Keywords:

Ovarian cancer, Genomics, Serum- and glucocorticoid-regulated kinases, Peroxisomal membrane protein 2, Orphan receptors linked to G proteins, Tissue inhibitor of metalloproteinase 1

Abstract

Gastric cancer (GC), the fifth most common malignancy worldwide, continues to pose diagnostic and prognostic challenges owing to the lack of reliable non-invasive biomarkers. This study aims to identify and validate prognostic biomarkers in gastric cancer through integrated bioinformatics analysis. Three publicly available gene expression profiles (GSE54129, GSE79973, and GSE118916), comprising 182 gastric cancer and 175 normal tissue samples, were retrieved from the NCBI Gene Expression Omnibus (GEO) database. A total of 179 common differentially regulated genes (DRGs) were identified through Venn diagram analysis. Functional enrichment, Gene Ontology (GO), and KEGG pathway analyses were conducted to explore the biological significance of these genes. Protein-protein interaction networks and survival analysis were performed using STRING, Cytoscape, and Kaplan-Meier plotter tools. Among the identified genes, SGK1 and PXMP2 were associated with favorable overall survival (log-rank p < 0.05; HR < 1), suggesting a protective role, while COL10A1, GPRC5C, AKR1C1, and TIMP1 were significantly linked to poor prognosis (log-rank p < 0.05; HR > 1). These findings enhance our understanding of gastric cancer pathogenesis and offer potential candidates for the development of prognostic biomarkers and potential therapeutic targets for future management of GC.

Additional Files

Published

2025-08-13

How to Cite

Irfan, M., Noreen, S., Ashraf, R., & Nawaz, S. (2025). Exploring Prognostically Relevant Genes in Gastric Cancer via Gene Expression Profiling and Pathway Analysis: Exploring Prognostically Relevant Genes in Gastric Cancer. Nature’s Symphony , 3(2), 01–25. https://doi.org/10.69547/NS.32.01

Issue

Vol. 3 No. 2 (2025): Nature's Symphony - Volume 3, Issue 2

Section

Biology

License

Copyright (c) 2025 Momna Irfan, Shahzadi Noreen, Rizwan Ashraf, Saba Nawaz

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