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Identifying Hub Genes and Pathways in Pancreatic Ductal Adenocarcinoma (PAAD): A comprehensive in silico study.

Elham Karimi1, Niloufar Sadat Kalaki2, Seyed Mohammad Akrami2

  • 1Department of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

Biochemistry and Biophysics Reports
|February 6, 2025
PubMed
Summary
This summary is machine-generated.

This study identifies key genes and pathways involved in pancreatic ductal adenocarcinoma (PAAD) development. These findings offer potential for early PAAD detection and improved treatment strategies.

Keywords:
Diagnostic biomarkersPAADPPI networkPancreatic cancer

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Area of Science:

  • Oncology
  • Genomics
  • Bioinformatics

Background:

  • Pancreatic ductal adenocarcinoma (PAAD) is an aggressive cancer often diagnosed late.
  • PAAD exhibits poor treatment response and high metastasis risk.

Purpose of the Study:

  • To identify novel diagnostic biomarkers for early pancreatic ductal adenocarcinoma (PAAD) detection.
  • To elucidate molecular pathways driving PAAD progression.

Main Methods:

  • Utilized Gene Expression Omnibus (GEO) datasets (GSE15471, GSE28735, GSE62165, GSE16515).
  • Identified differentially expressed genes (DEGs) using GEO2R.
  • Performed pathway analysis with KEGG and GO databases.
  • Analyzed protein-protein interactions (PPI) via Cytoscape and Gephi.
  • Confirmed target genes using Gene Expression Profiling Interactive Analysis (GEPIA).

Main Results:

  • Identified 66 hub genes and 819 common DEGs through PPI and GEO data analysis.
  • Pathway analysis revealed DEGs associated with cell adhesion, extracellular exosomes, extracellular matrix, and muscle cytoskeleton.
  • GEPIA analysis highlighted significant expression differences in 8 genes (FN1, CXCR4, MMP9, PXDN, CBS, ALB, GPT2, EGF) between normal and tumor samples.

Conclusions:

  • Discovered hub genes and pathways crucial for PAAD development.
  • These identified genes show promise as diagnostic biomarkers for early PAAD detection.
  • Early detection via biomarkers could lead to more effective treatment interventions.