ArticleOncology letters2015
The network of microRNAs, transcription factors, target genes and host genes in human renal cell carcinoma.
Article in Oncology letters, 2015. 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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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 20 citations in OpenAlex.
- The Role of miRNA in Renal Fibrosis Leading to Chronic Kidney Disease.Biomedicines · 2023Review
- miRNA:miRNA Interactions: A Novel Mode of miRNA Regulation and Its Effect On Disease.Advances in experimental medicine and biology · 2022Article
- miRNA interplay: mechanisms and consequences in cancer.Disease models & mechanisms · 2021Review
- MicroRNA-34a Promotes Renal Fibrosis by Downregulation of Klotho in Tubular Epithelial Cells.Molecular therapy : the journal of the American Society of Gene Therapy · 2019Article
- MicroRNA-375 Suppresses the Tumor Aggressive Phenotypes of Clear Cell Renal Cell Carcinomas through Regulating YWHAZ.Chinese medical journal · 2018Article
- Networks analysis of genes and microRNAs in human Wilms' tumors.Oncology letters · 2016Article
- Network analysis of microRNAs, transcription factors, target genes and host genes in nasopharyngeal carcinoma.Oncology letters · 2016Article
- Regulatory mechanisms of microRNA expression.Journal of translational medicine · 2016Review
- MicroRNAs as novel therapeutic targets to treat kidney injury and fibrosis.American journal of physiology. Renal physiology · 2016Review
- miR-155 regulates the proliferation and invasion of clear cell renal cell carcinoma cells by targeting E2F2.Oncotarget · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
At present, scientists have performed numerous studies investigating the morbidity of renal cell carcinoma (RCC) in the genetic and microRNA (miRNA) fields, obtaining a substantial amount of knowledge. However, the experimentally validated data of genes, miRNA and transcription factors (TFs) cannot be found in a unified form, which makes it challenging to decipher the regulatory mechanisms. In the present study, the genes, miRNAs and TFs involved in RCC are regarded as elements in the regulatory network, and the present study therefore focuses on the association between each entity. Three regulatory networks were constructed hierarchically to indicate the regulatory association between the genes, miRNAs and TFs clearly, including the differentially expressed, associated and global networks. All the elements were macroscopically investigated in these networks, instead of only investigating one or several of them. The present study not only compared and analyzed the similarities and the differences between the three networks, but also systematically expounded the pathogenesis of RCC and supplied theoretical foundations for future gene therapy investigations. Following the construction of the three networks, certain important pathways were highlighted. The upstream and downstream element table of differentially expressed genes and miRNAs was listed, in which self-adaption associations and circle-regulations were identified. In future studies, the identified genes and miRNAs should be granted more attention.
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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.