ArticleOncoTargets and therapy2016
Identification of colorectal cancer-restricted microRNAs and their target genes based on high-throughput sequencing data.
Article in OncoTargets and therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed.
- miR-6850 drives phenotypic changes and signaling in high grade serous ovarian cancer.Non-coding RNA research · 2026Article
- Development of a quantitative genomic instability scoring system and a related competing endogenous RNA network in head and neck squamous cell carcinoma.Translational cancer research · 2025Article
- Article
- Anticancer roles of let-7f-1-3p in non-small cell lung cancer via direct targeting of integrin β1.Experimental and therapeutic medicine · 2021Article
- DUSP9, a Dual-Specificity Phosphatase with a Key Role in Cell Biology and Human Diseases.International journal of molecular sciences · 2021Review
- Article
- 7-lncRNA Assessment Model for Monitoring and Prognosis of Breast Cancer Patients: Based on Cox Regression and Co-expression Analysis.Frontiers in oncology · 2019Article
- Relevance of MicroRNAs as Potential Diagnostic and Prognostic Markers in Colorectal Cancer.International journal of molecular sciences · 2018Review
- Article
- Prediction and Validation of Hub Genes Associated with Colorectal Cancer by Integrating PPI Network and Gene Expression Data.BioMed research international · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To identify potential key microRNAs (miRNAs) and their target genes for colorectal cancer (CRC). High-throughput sequencing data of miRNA expression and gene expression (ID: GSE46622) were downloaded from Gene Expression Omnibus, including matched colon tumor, normal colon epithelium, and liver metastasis tissues from eight CRC patients. Paired t-test and NOISeq separately were utilized to identify differentially expressed miRNAs (DE-miRNAs) and genes. Then, target genes with differential expression and opposite expression trends were identified for DE-miRNAs. Combined with tumor suppressor gene, tumor-associated gene, and TRANSFAC databases, CRC-restricted miRNAs were screened out based on miRNA-target pairs. Compared with normal tissues, there were 56 up- and 37 downregulated miRNAs in metastasis tissues, as well as eight up- and 30 downregulated miRNAs in tumor tissues. miRNA-1 was downregulated in tumor and metastasis tissues, while its target oncogenes TWIST1 and GATA4 were upregulated. Besides, miRNA-let-7f-1-3p was downregulated in tumor tissues, which also targeted TWIST1. In addition, miRNA-133b and miRNA-4458 were downregulated in tumor tissues, while their common target gene DUSP9 was upregulated. Conversely, miRNA-450-b-3p was upregulated in metastasis tissues, while its target tumor suppressor gene CEACAM7 showed downregulation. The identified CRC-restricted miRNAs might be implicated in cancer progression via their target genes, suggesting their potential usage in CRC treatment.
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