ArticleInternational journal of medical sciences2019
Deduction of Novel Genes Potentially Involved in Upper Tract Urothelial Carcinoma Using Next-Generation Sequencing and Bioinformatics Approaches.
Article in International journal of medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
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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
5 citing papers in PubMed, 10 citations in OpenAlex.
- UTY (KDM6C) in Cancer: Epigenetic Regulation, Tumour Suppressor Functions, and Clinical Implications.Epigenomes · 2026Review
- Hsa-miR-134-5p predicts cardiovascular risk in circulating mononuclear cells and improves angiogenic action of senescent endothelial progenitor cells.Journal of cellular and molecular medicine · 2024Article
- Upper Tract Urothelial Carcinoma: A Rare Malignancy with Distinct Immuno-Genomic Features in the Era of Precision-Based Therapies.Biomedicines · 2023Review
- Hsa-miR-409-3p regulates endothelial progenitor senescence via PP2A-P38 and is a potential ageing marker in humans.Journal of cellular and molecular medicine · 2023Article
- A four-miRNA signature in serum as a biomarker for bladder cancer diagnosis.American journal of translational research · 2022Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Upper tract urothelial carcinoma (UTUC) is a relatively uncommon cancer worldwide, however it accounts for approximately 30% of urothelial cancer in the Taiwanese population. The aim of the current study is to identify differential molecular signatures and novel miRNA regulations in UTUC, using next-generation sequencing and bioinformatics approaches. Two pairs of UTUC tumor and non-tumor tissues were collected during surgical resection, and RNAs extracted for deep sequencing. There were 317 differentially expressed genes identified in UTUC tissues, and the systematic bioinformatics analyses indicated dysregulated genes were enriched in biological processes related to aberration in cell cycle and matrisome-related genes. Additionally, 15 candidate genes with potential miRNA-mRNA interactions were identified. Using the clinical outcome prediction database, low expression of
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Registered trials
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