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Purpose: Our purpose was to systematically appraise the clinicopathological significance and explore the molecular bases of CKS2 in endometrial carcinoma. Patients and Methods: We measured the clinicopathological significance of CKS2 using diverse methods of public RNA-seq, microarrays, and in-house tissue microarrays to investigate the molecular basis of CKS2 in endometrial carcinoma through upstream transcriptional analysis, immune infiltration correlation analysis, and co-expression analysis. Results: Both the analysis for public RNA-seq plus the microarray data and in-house tissue microarray confirmed the significant overexpression of CKS2 in a total of 1,021 endometrial carcinoma samples compared with 279 non-cancer endometrium samples (SMD = 2.10, 95% CI = 0.72-3.48). The upregulated CKS2 was significantly related to the lymph node metastasis and advanced clinical grade of endometrial carcinoma patients ( p < 0.001). Mutation types such as amplification and mRNA occurred with high frequency in the CKS2 gene in endometrial carcinoma patients. A series of miRNAs and transcription factors, such as hsa-miR-26a, hsa-miR-130a, hsa-miR-30, E2F4, MAX, and GABPA, were predicted to regulate the transcription and expression of CKS2. Significant links were found between CKS2 expression and the infiltration level of B cells, CD4 + T cells, and neutrophils in endometrial carcinoma. CKS2-coexpressed genes were actively involved in pathways such as the mitotic cell cycle process, PID aurora B pathway, and prolactin signaling pathway. Conclusion: The overexpressed CKS2 showed positive correlations with the clinical progression of endometrial carcinoma and was associated with various cancer-related biological processes and pathways, showing potential as a promising clinical biomarker for endometrial carcinoma., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Gao, Chen, Liang, Li, Li, Tang, Tang, Huang, Chen, Luo, Zeng, Dang and Feng.)

Objective: miRNA has gained attention as a therapeutic target in various malignancies. The proposal of this study was to investigate the biological functions of key miRNAs and target genes in cancers of the digestive tract which include esophageal carcinoma (ESCA), gastric adenocarcinoma (GAC), colon adenocarcinoma (COAD), and rectal adenocarcinoma (READ)., Materials and Methods: After screening differentially expressed miRNAs (DEMIs) and differentially expressed mRNAs (DEMs) in four digestive cancers from The Cancer Genome Atlas (TCGA) database, the diagnostic value of above DEMIs was evaluated by receiver-operating characteristic (ROC) curve analysis. Then, corresponding DEMIs' target genes were predicted by miRWalk 2.0. Intersection of predicted target genes and DEMs was taken as the target genes of DEMIs, and miRNA-mRNA regulatory networks between DEMIs and target genes were constructed. Meanwhile, the univariate Cox risk regression model was used to screen miRNAs with distinct prognostic value, and Kaplan-Meier analysis was used to determine their significance of prognosis. Furthermore, we performed bioinformatics methods including protein-protein interaction (PPI) networks, gene ontology (GO) annotation, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and gene group RIDA analysis by Gene-Cloud of Biotechnology Information (GCBI) to explore the function and molecular mechanisms of DEMIs and predicted target genes in tumor development., Results: Eventually, 3 DEMIs (miR-7-3, miR-328, and miR-323a) with significant prognostic value were obtained. In addition, 3 DEMIs (miR-490-3p, miR-133a-3p, and miR-552-3p) and 281 target genes were identified, and the 3 DEMIs showed high diagnostic value in READ and moderate diagnostic value in ESCA, GAC, and COAD. Also, the miRNA-mRNA regulatory network with 3 DEMIs and 281 overlapping genes was successfully established. Functional enrichment analysis showed that 281 overlapping genes were mainly related to regulation of cell proliferation, cell migration, and PI3K-Akt signaling pathway., Conclusion: The diagnostic value and prognostic value of significant DEMIs in cancers of the digestive tract were identified, which may provide a novel direction for treatment and prognosis improvement of cancers of the digestive tract., Competing Interests: The authors declare that they have no conflicts of interest., (Copyright © 2019 Chun-hui Lai et al.)

Background: MicroRNA is endogenous non-coding small RNA that negative regulate and control gene expression, and increasing evidence links microRNA to oncogenesis and the pathogenesis of cancer. The goal of this study was to explore the potential molecular mechanism of miR-375 in various cancers., Methods: MiR-375 overexpression in different tumor cell lines was probed with microarray data from Gene Expression Omnibus (GEO). The common target genes of miR-375 were obtained by Robust Rank Aggregation (RRA), and identified by miRWalk2.0 software for target gene prediction. Additionally, we directed in silico analysis including Protein-Protein Interactions (PPI) analysis, gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways annotations to provide a summary of the function of miR-375 in various carcinomas. Eventually, data was obtained from The Cancer Genome Atlas (TCGA) were utilized for a validation in 7 cancers., Results: The nine miR-375 related chips were acquired by the GEO data. The 5 down regulated genes came from 9 available microarray datasets, which overlapped with the potential target genes predicted by miRWalk2.0 software. The target genes were intensely enriched in amino acid biosynthetic and metabolic process from biological process (GO) and Cysteine and methionine metabolism (KEGG analysis). In view of these approaches, VASN, MAT2B, HERPUD1, TPAPPC6B and TAT are probably the most important miR-375 targets. In addition, miR-375 was negatively correlated with MAT2B, which was verified in 5 tumors of TCGA., Conclusion: In summary, this study based on common target genes provides an innovative perspective for exploring the molecular mechanism of miR-375 in human tumors., Competing Interests: The authors have declared that no competing interests exist.

MicroRNAs (miRNAs) play key roles in the regulation of gene expression during multiple physiological processes, including early development, differentiation, and ageing. However, their involvement in age-related thymic involution is not clear. In this study, we profiled the global transcriptome and miRNAome of thymic epithelial cells in 1- and 3-month-old male and female mice, and predicted the possible transcription factors and target genes of the four most significantly differentially expressed miRNAs (DEMs) (miR-183-5p, miR-199b-5p, miR-205-5p, and miR-200b-3p) by performing bioinformatics analyses. We also evaluated the relationships between the significantly DEMs and mRNAs. We performed quantitative polymerase chain reaction to confirm the changes in the expression of the miRNAs and their predicted target genes. We found that miR-183-5p, miR-199b-5p, miR-205-5p, and miR-200b-3p can be used as a biomarker group for mouse thymus development and involution. In addition, the predicted target genes (Ptpn4, Slc2a9, Pkib, Pecam1, and Prkdc), which were identified by mRNA sequencing analysis, were mainly involved in growth, development, and accelerated senescence. In conclusion, miRNAs and their predicted target genes likely play important roles in thymus development and involution. To the best of our knowledge, this is the first study to systematically analyze the relevance of miRNAs and their targets by mRNA sequencing in mouse thymic epithelial cells. © 2018 IUBMB Life, 70(7):678-690, 2018., (© 2018 International Union of Biochemistry and Molecular Biology.)

Background: To practically verify the clinical value of miR-26a-5p and thoroughly explore its target genes as well as its potential functions in hepatocellular carcinoma (HCC)., Methods: HCC and adjacent non-cancerous hepatic tissues of 95 HCC patients were collected for analysis using reverse transcription quantitative real-time PCR (qRT-PCR). For the bioinformatics analysis, we identified potential target genes for miR-26a-5p from differentially expressed genes (DEGs) in Gene Expression Omnibus (GEO) data sets and miRWalk predicted database. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and protein-protein interaction (PPI) analyses were applied to analyze the prospective mechanisms of the predicted target genes., Results: MiR-26a-5p showed a significantly lower expression level in HCC tissues (1.56±1.07) than adjacent benign liver tissues (2.28±1.06, P<0.001). The area under the curve (AUC) of the receiver operating characteristic (ROC) was 0.665 (95% CI: 0.588-0.743, P<0.001). Significant correlations between miR-26a-5p expression and clinicopathological features such as gender (r=0.275, P<0.01), clinical TNM stage (r=-0.306, P<0.01), and metastasis (r=-0.321, P<0.01) were observed. To examine potential target genes, we obtained 175 genes for further function analysis, by attaining the intersection of 2062 up-regulated DEGs and 1390 online-predicted target genes. The GO and KEGG pathway annotation indicated focal adhesion, regulation of actin cytoskeleton and the PI3K-Akt signaling pathway as significant prospective mechanisms. The PPI network indicated that NRAS was the most essential hub gene in the whole network., Conclusion: Down-regulated miR-26a-5p was closely correlated with the status of metastasis and the progression of HCC. MiR-26a-5p might play protective roles by targeting diverse genes and pathways., (Copyright © 2017. Published by Elsevier GmbH.)

Esophageal carcinoma (ESCA) is one of the most common malignancies worldwide, and its pathogenesis is complex. In this study, we identified differentially expressed miRNAs (DEMs) and genes (DEGs) of ESCA from The Cancer Genome Atlas (TCGA) database. The diagnostic values of DEMs were determined by receiver operating characteristic (ROC) analyses and validated based on data from Gene Expression Omnibus (GEO). The top five DEMs with the best diagnostic values were selected, and their potential targets were predicted by various in silico methods. These target genes were then identified among the DEGs from TCGA. Furthermore, the overlapping genes were subjected to protein-protein interaction (PPI) analysis, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. The miRNA-transcription factor (TF) regulatory relations were determined using CircuitsDB and TransmiR. Finally, the regulatory networks of miRNA-TF and miRNA-gene were constructed and analyzed. A total of 136 DEMs and 3541 DEGs were identified in ESCA. The top five DEMs with the highest area under the receiver operating characteristic curve (AUC) values were miRNA-93 (0.953), miRNA-21 (0.928), miRNA-4746 (0.915), miRNA-196a-1 (0.906) and miRNA-196a-2 (0.906). The combined AUC of these five DEMs was 0.985. The KEGG analysis with 349 overlapping genes showed that the calcium signaling pathway and the neuroactive ligand-receptor interaction were the most relevant pathways. The regulatory networks of miRNA-TF and miRNA-gene, including 38 miRNA-TF and 560 miRNA-gene pairs, were successfully established. Our findings may provide new insights into the molecular mechanisms of ESCA pathogenesis. Future research will aim to explore the role of novel miRNAs in the pathogenesis and improve the early diagnosis of ESCA.