ArticleGenes2019
Identifying Interaction Clusters for MiRNA and MRNA Pairs in TCGA Network.
Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Network Toxicology Reveals the Mechanisms of the Plasticizer Metabolite MECPP in Metabolic Diseases.International journal of molecular sciences · 2026Article
- Characterization of tumor suppressors and oncogenes evaluated from TCGA cancers.American journal of clinical and experimental immunology · 2024Article
- Insight into NSCLC through novel analysis of gene interactions and characteristics.American journal of clinical and experimental immunology · 2024Article
- Berberine inhibits carcinogenesis through antagonizing the ATX-LPA-LPAR2-p38-leptin axis in a mouse hepatoma model.Molecular therapy oncolytics · 2022Article
- Characterizing the extracellular matrix transcriptome of cervical, endometrial, and uterine cancers.Matrix biology plus · 2022Article
- A holistic miRNA-mRNA module discovery.Non-coding RNA research · 2021Article
- Comparative expression analysis of tRF-3001a and tRF-1003 with corresponding miRNAs (miR-1260a and miR-4521) and their network analysis with breast cancer biomarkers.Molecular biology reports · 2021Article
- Article
- Pinpointing miRNA and genes enrichment over trait-relevant tissue network in Genome-Wide Association Studies.BMC medical genomics · 2020Article
- Identification of MicroRNA-Related Tumorigenesis Variants and Genes in the Cancer Genome Atlas (TCGA) Data.Genes · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Existing methods often fail to recognize the conversions for the biological roles of the pairs of genes and microRNAs (miRNAs) between the tumor and normal samples. We have developed a novel cluster scoring method to identify messenger RNA (mRNA) and miRNA interaction pairs and clusters while considering tumor and normal samples jointly. Our method has identified 54 significant clusters for 15 cancer types selected from The Cancer Genome Atlas project. We also determined the shared clusters across tumor types and/or subtypes. In addition, we compared gene and miRNA overlap between lists identified in our liver hepatocellular carcinoma (LIHC) study and regulatory relationships reported from human and rat nonalcoholic fatty liver disease studies (NAFLD). Finally, we analyzed biological functions for the single significant cluster in LIHC and uncovered a significantly enriched pathway (phospholipase D signaling pathway) with six genes represented in the cluster, symbols:
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What OpenQuestion holds
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.