DNA Cell Biol. 2020 Oct 13. doi: 10.1089/dna.2020.5689. Online ahead of print.
There are many studies on the association between miR-608 rs4919510 polymorphism and susceptibility to colorectal cancer (CRC). However, the role of rs4919510 in CRC development and its underlying mechanism remain unclear. We first evaluated the gene that may be regulated by the variation of rs4919510 through a two-stage expression quantitative trait loci analysis and then compared the expression of that identified gene in CRC tissues and adjacent nontumor tissues. Next, methyl thiazolyl
tetrazolium (MTT) assay, transwell assay, and flow cytometry analyses were performed to investigate the in vitro capacity of cell proliferation, migration, invasion, apoptosis, and cell cycle of CRC cells, respectively. Finally, through bioinformatics prediction, we contrasted the regulatory network and identified microRNAs (miRNAs) and long noncoding RNAs (lncRNAs) that could regulate the obtained gene. We found that the variant G allele of rs4919510 located in miR-608 was associated with a potentially increased expression of MRPL43 in colon tissues (p = 0.065). Moreover, the results of functional experiments suggested that knockdown of the MRPL43 gene could inhibit the growth of the CRC HCT-116 cell line and promote apoptosis. Additionally, the cell cycle of CRC HCT-116 cell line was significantly arrested at the G2 phase. Next, we obtained a competing endogenous RNA regulatory network of MRPL43 with 17 pairs of miRNAs-lncRNAs by bioinformatics prediction, out of which, survival analysis indicated that different expression levels of miR-193b-3p (p = 0.0269) and miR-194-3p (p = 0.0113) were associated with overall survival in CRC patients. The rs4919510 variant G allele in miR-608 may increase the proliferation, invasion, and migration ability and decrease the apoptosis of CRC HCT-116 cell line by upregulating the expression of MRPL43, ultimately may affect the risk of CRC. Moreover, miR-193b-3p and miR-194-3p that target MRPL43 may serve as potential predictive biomarkers of CRC survival.