Dysregulation of microRNA expression during the progression of colorectal tumors

Identification of Key MicroRNAs and Genes between Colorectal Adenoma and Colorectal Cancer via Deep Learning on GEO Databases and Bioinformatics

Background

Deep learning techniques are gaining momentum in medical research. Colorectal adenoma (CRA) is a precancerous lesion that may develop into colorectal cancer (CRC) and its etiology and pathogenesis are unclear. This study aims to identify transcriptome differences between CRA and CRC via deep learning on Gene Expression Omnibus (GEO) databases and bioinformatics in the Chinese population.

Methods

In this study, three microarray datasets from the GEO database were used to identify the differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs) in CRA and CRC. The FunRich software was performed to predict the targeted mRNAs of DEMs. The targeted mRNAs were overlapped with DEGs to determine the key DEGs. Molecular mechanisms of CRA and CRC were evaluated using enrichment analysis. Cytoscape was used to construct protein-protein interaction (PPI) and miRNA-mRNA regulatory networks. We analyzed the expression of key DEMs and DEGs, their prognosis, and correlation with immune infiltration based on the Kaplan-Meier plotter, UALCAN, and TIMER databases.

Results

A total of 38 DEGs are obtained after the intersection, including 11 upregulated genes and 27 downregulated genes. The DEGs were involved in the pathways, including epithelial-to-mesenchymal transition, sphingolipid metabolism, and intrinsic pathway for apoptosis. The expression of has-miR-34c (P = 0.036), hsa-miR-320a (P = 0.045), and has-miR-338 (P = 0.0063) was correlated with the prognosis of CRC patients. The expression levels of BCL2, PPM1L, ARHGAP44, and PRKACB in CRC tissues were significantly lower than normal tissues (P < 0.001), while the expression levels of TPD52L2 and WNK4 in CRC tissues were significantly higher than normal tissues (P < 0.01). These key genes are significantly associated with the immune infiltration of CRC.

Conclusion

This preliminary study will help identify patients with CRA and early CRC and establish prevention and monitoring strategies to reduce the incidence of CRC.

Clinical significance of microRNA-1180-3p for colorectal cancer and effect of its alteration on cell function

An early diagnosis and effective prognostic factors would greatly reduce the mortality rate of colorectal cancer (CRC). This research is intended to complete the evaluation of the prognostic value and potential role of miR-1180-3p in CRC. The miR-1180-3p levels were reduced in CRC patients’ tissues, blood, and human CRC cell lines. The ability of miR-1180-3p was explored in discrimination of CRC patients and healths and the value in overall survival estimate. The effect of miR-1180-3p dysregulation on the CRC cellular function was investigated. miR-1180-3p is downregulated in CRC tissues, blood and cells than normal ones. This lower expression was correlated with vascular invasion, lymph node metastasis, and TNM stage. With the use of ROC curve, miR-1180-3p showed discriminating ability in CRC patients and healthy subjects. With the result of Kaplan–Meier analysis and multi-multivariate Cox analysis, miR-1180-3p was an independent predictor for CRC patients’ overall survival. Utilizing CCK-8, Transwell and matrigel assays, overexpression of miR-1180-3p reduced cancer cell proliferation and mobility, but induced apoptosis, by targeting COL12A1. miR-1180-3p might function as a suppressor in CRC progression and allowed the discovery of a new biomarker for diagnosis, prognosis and therapy target for CRC.