ArticleApoptosis : an international journal on programmed cell death2018
Dysregulated genes and miRNAs in the apoptosis pathway in colorectal cancer patients.
Article in Apoptosis : an international journal on programmed cell death, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.
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Who cites it
51 citing papers in PubMed, 1 synthesis or guideline pooled it, 91 citations in OpenAlex.
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- Competitive endogenous RNA networks: Decoding the role of long non-coding RNAs and circular RNAs in colorectal cancer chemoresistance.Journal of cellular and molecular medicine · 2024Review
- Role of non-coding RNAs as new therapeutic targets in regulating the EMT and apoptosis in metastatic gastric and colorectal cancers.Cell cycle (Georgetown, Tex.) · 2023Review
- Restoration of miR-650 leads to down-regulation of KISS1, a possible route involved in overcoming 5-FU resistance and induction of apoptosis in CRC cells in-vitro.Molecular biology reports · 2023Article
- Crosstalk Between miRNA and Protein Expression Profiles in Nitrate-Exposed Brain Cells.Molecular neurobiology · 2023Article
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- Mitochondrial Genetic and Epigenetic Regulations in Cancer: Therapeutic Potential.International journal of molecular sciences · 2022Review
- SARS-CoV-2 causes a significant stress response mediated by small RNAs in the blood of COVID-19 patients.Molecular therapy. Nucleic acids · 2022Article
- Analysis of transcript-wide profile regulated by microsatellite instability of colorectal cancer.Annals of translational medicine · 2022Article
- Recent advances in the diagnostic and therapeutic roles of microRNAs in colorectal cancer progression and metastasis.Frontiers in oncology · 2022Review
- Mbd2 deficiency alleviates retinal cell apoptosisvia the miR-345-5p/Atf1 axis in high glucoseinjury and streptozotocin-induced diabetic mice.Molecular therapy. Nucleic acids · 2021Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Apoptosis is genetically regulated and involves intrinsic and extrinsic pathways. We examined 133 genes within these pathways to identify whether they are expressed differently in colorectal carcinoma (CRC) and normal tissue (N = 217) and if they are associated with similar differential miRNA expression. Gene expression data (RNA-Seq) and miRNA expression data (Agilent Human miRNA Microarray V19.0) were generated. We focused on dysregulated genes with a fold change (FC) of > 1.50 or < 0.67, that were significant after adjustment for multiple comparisons. miRNA:mRNA seed-region matches were determined. Twenty-three genes were significantly downregulated (FC < 0.67) and 18 were significantly upregulated (FC > 1.50). Of these 41 genes, 11 were significantly associated with miRNA differential expression. BIRC5 had the greatest number of miRNA associations (14) and the most miRNAs with a seed-region match (10). Four of these matches, miR-145-5p, miR-150-5p, miR-195-5p, and miR-650, had a negative beta coefficient. CSF2RB was associated with ten total miRNAs (five with a seed-region match, and one miRNA, miR-92a-3p, with a negative beta coefficient). Of the three miRNAs associated with CTSS, miR-20b-5p, and miR-501-3p, had a seed-region match and a negative beta coefficient between miRNA:mRNA pairs. Several miRNAs that were associated with dysregulated gene expression, seed-region matches, and negative beta coefficients also were associated with CRC-specific survival. Our data suggest that miRNAs could influence several apoptosis-related genes. BIRC5, CTSS, and CSF2R all had seed-region matches with miRNAs that would favor apoptosis. Our study identifies several miRNA associated with apoptosis-related genes, that if validated, could be important therapeutic targets.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.