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Updated: Feb 3, 2026

The ITS2 Database
Published on: March 12, 2012
The biological functions of target genes in pan-cancers and cell lines were predicted by miR-375 microarray data from
Jiang-Hui Zeng1, Xu-Zhi Liang2, Hui-Hua Lan3
1Department of ClinicaHl Laboratory, The Third Affiliated Hospital of Guangxi Medical University/Nanning Second People's Hospital, Nanning, Guangxi Zhuang Autonomous Region, P. R. China.
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.
Insights
This study reveals microRNA-375 (miR-375) targets key genes involved in amino acid metabolism, offering insights into cancer mechanisms. miR-375 negatively correlates with MAT2B, a potential therapeutic target in various cancers.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- MicroRNAs (miRNAs) are small non-coding RNAs regulating gene expression.
- Evidence links miRNA dysregulation to oncogenesis and cancer pathogenesis.
- MicroRNA-375 (miR-375) is implicated in various cancers, necessitating mechanistic exploration.
Purpose of the Study:
- To investigate the molecular mechanisms of miR-375 in diverse human cancers.
- To identify common target genes of miR-375 across different tumor types.
- To elucidate the functional role of miR-375 in cancer development.
Main Methods:
- Microarray data analysis from Gene Expression Omnibus (GEO) for miR-375 expression.
- Target gene prediction using miRWalk2.0 and Robust Rank Aggregation (RRA).
- In silico analyses including PPI, GO, and KEGG pathway enrichment.
- Validation using The Cancer Genome Atlas (TCGA) data.
Main Results:
- Identified five key miR-375 target genes: VASN, MAT2B, HERPUD1, TPAPPC6B, and TAT.
- Enrichment analysis revealed target genes involved in amino acid biosynthesis and metabolism.
- Demonstrated a negative correlation between miR-375 and MAT2B in five TCGA-validated cancers.
Conclusions:
- This study provides a novel perspective on miR-375's molecular mechanisms in human tumors through common target gene identification.
- MAT2B emerges as a significant miR-375 target potentially involved in cancer progression.
- Findings highlight miR-375's role in amino acid metabolism and its implications for cancer therapy.
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