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Detection of a Circulating MicroRNA Custom Panel in Patients with Metastatic Colorectal Cancer
Published on: March 14, 2019
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.
Abstract:
Colorectal cancer is the second and third most common cancer in men and women, respectively, worldwide. Alterations such as genetic and epigenetic are common in colorectal cancer and are the basis of tumor formation. The exploration of the molecular basis of colorectal cancer can drive a better understanding of the disease as well as guide the prognosis, therapeutics, and disease management. This study is aimed at investigating the genetic mutation profile of five candidate microRNAs (hsa-miR-513b-3p, hsa-miR-500b-3p, hsa-miR-500a-3p, hsa-miR-450b-3p, hsa-miR-193a-5p) targeted by seven genes (APC, KRAS, TCF7L2, EGFR, IGF1R, CASP8, and GNAS)) using in silico approaches. Two datasets (dataset 1 from our previous study and dataset two (The Cancer Genome Atlas, Nature 2012) were considered for this study. Protein-protein interaction, expression analysis, and genetic profiling were carried out using STRING, FireBrowse, and cBioPortal, respectively. Protein-protein interaction network showed that epidermal growth factor receptor has the highest connection among the target genes and this can be considered as the hub gene. Relative to other solid tumors, in colorectal cancer, six of the target genes were downregulated and only CASP8 was upregulated. Genes with protein tyrosine kinases domain were frequently altered in colorectal cancer and the most common alteration in these genes/domain are missense mutation. These results could serve as a lead in the identification of driver genes responsible for colorectal cancer initiation and progression. However, the intense mechanism of these results remains unclear and further experimental validation and molecular approaches are the focal points in the nearest future.
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.
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