Genomic profiling of microRNA target genes in colorectal cancer

Adewale Oluwaseun Fadaka1,2, Olalekan Olanrewaju Bakare2, Ashley Pretorius2

  • 1Department of Science and Technology/Mintek Nanotechnology Innovation Centre, Biolabels Node, Department of Biotechnology, Faculty of Natural Sciences, University of the Western Cape, Bellville, South Africa.

Insights

This study explored microRNA and gene alterations in colorectal cancer using in silico methods. Key findings include epidermal growth factor receptor as a hub gene and frequent missense mutations in protein tyrosine kinases, offering insights into cancer development.

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Colorectal cancer (CRC) is a leading global cancer, driven by genetic and epigenetic alterations.
  • Understanding CRC's molecular basis is crucial for improved prognosis, therapeutics, and disease management.
  • MicroRNAs (miRNAs) play significant roles in cancer development and progression.

Purpose of the Study:

  • To investigate the genetic mutation profile of five candidate microRNAs (miRNAs) and their seven target genes in colorectal cancer.
  • To identify potential driver genes and molecular mechanisms underlying colorectal cancer initiation and progression using in silico approaches.

Main Methods:

  • Utilized in silico approaches to analyze two datasets, including The Cancer Genome Atlas (TCGA).
  • Performed protein-protein interaction (PPI) analysis using STRING.
  • Conducted gene expression analysis via FireBrowse and genetic profiling using cBioPortal.

Main Results:

  • Epidermal growth factor receptor (EGFR) was identified as a hub gene in the PPI network.
  • Six of the seven target genes were downregulated in colorectal cancer, with CASP8 being upregulated.
  • Genes with protein tyrosine kinase domains frequently exhibited missense mutations, a common alteration in colorectal cancer.

Conclusions:

  • The identified genetic alterations and hub genes provide potential leads for understanding colorectal cancer drivers.
  • Further experimental validation is necessary to elucidate the precise mechanisms and therapeutic implications of these findings.
  • This study highlights the importance of integrating bioinformatics with molecular approaches for cancer research.