In Silico Identification of Dysregulated miRNAs Targeting KRAS Gene in Pancreatic Cancer

Asbiel Felipe Garibaldi-Ríos1,2, Luis E Figuera1,2, Guillermo Moisés Zúñiga-González3

  • 1División de Genética, Centro de Investigación Biomédica de Occidente (CIBO), Centro Médico Nacional de Occidente (CMNO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara 44340, Jalisco, Mexico.

PubMed

Insights

This study identified microRNAs (miRNAs) that regulate KRAS in pancreatic cancer (PC). Some of these miRNAs are linked to PC

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Pancreatic cancer (PC) has a high mortality rate, with KRAS mutations present in up to 95% of cases.
  • MicroRNAs (miRNAs) show an inverse correlation with KRAS expression, suggesting their potential as diagnostic and prognostic biomarkers.

Purpose of the Study:

  • To identify specific miRNAs that target KRAS.
  • To investigate the association between these miRNAs and the clinical characteristics and survival outcomes in pancreatic cancer patients.

Main Methods:

  • Utilized in silico methods, including databases like dbDEMC, TargetScan, miRDB, PolymiRTS 3.0, and OncomiR.
  • Analyzed miRNA-KRAS correlation using ENCORI/starBase.
  • Evaluated associations with clinical features and survival in PC.

Main Results:

  • Identified 210 deregulated miRNAs in PC (116 overexpressed, 94 underexpressed).
  • Found 16 miRNAs involved in KRAS regulation, with 9 associated with PC clinical characteristics (hsa-miR-222-3p, hsa-miR-30a-5p, hsa-miR-30b-5p, hsa-miR-30e-5p, hsa-miR-377-3p, hsa-miR-495-3p, hsa-miR-654-3p, hsa-miR-877-5p, hsa-miR-885-5p).
  • Overexpression of hsa-miR-30a-5p linked to PC mortality; hsa-miR-30b-5p, hsa-miR-377-3p, hsa-miR-495-3p, and hsa-miR-885-5p associated with survival. Ten miRNAs showed correlation with KRAS expression.

Conclusions:

  • Dysregulated miRNAs in PC can potentially regulate KRAS.
  • These miRNAs are associated with clinically relevant features, indicating their potential as biomarkers and therapeutic targets for pancreatic cancer.
  • Experimental validation is necessary to confirm these findings.