ArticleFrontiers in genetics2013
A systematic experimental evaluation of microRNA markers of human bladder cancer.
Article in Frontiers in genetics, 2013. 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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 landscape of aging.Science China. Life sciences · 2022Review
- Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare.Oncotarget · 2018Article
- Early stage of cytomegalovirus infection suppresses host microRNA expression regulation in human fibroblasts.Cell cycle (Georgetown, Tex.) · 2016Article
- Prognostic and predictive miRNA biomarkers in bladder, kidney and prostate cancer: Where do we stand in biomarker development?Journal of cancer research and clinical oncology · 2016Review
- BcCluster: A Bladder Cancer Database at the Molecular Level.Bladder cancer (Amsterdam, Netherlands) · 2016Article
- MiRImpact, a new bioinformatic method using complete microRNA expression profiles to assess their overall influence on the activity of intracellular molecular pathways.Cell cycle (Georgetown, Tex.) · 2016Article
- Non-coding RNAs including miRNAs, piRNAs, and tRNAs in human cancer.Oncotarget · 2015Article
- Clinical and pathological implications of miRNA in bladder cancer.International journal of nanomedicine · 2015Review
- Novel robust biomarkers for human bladder cancer based on activation of intracellular signaling pathways.Oncotarget · 2014Article
- MicroRNAs: New therapeutic targets for intestinal barrier dysfunction.World journal of gastroenterology · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMicroRNAs (miRNAs) are a class of small RNAs that regulate gene expression. They are aberrantly expressed in many human cancers and are potential therapeutic targets and molecular biomarkers.
methodsIn this study, we for the first time validated the reported data on the entire set of published differential miRNAs (102 in total) through a series of transcriptome-wide experiments. We have conducted genome-wide miRNA profiling in 17 urothelial carcinoma bladder tissues and in nine normal urothelial mucosa samples using three methods: (1) An Illumina HT-12 microarray hybridization (MA) analysis (2) a suppression-subtractive hybridization (SSH) assay followed by deep sequencing (DS) and (3) DS alone.
resultsWe show that DS data correlate with previously published information in 87% of cases, whereas MA and SSH data have far smaller correlations with the published information (6 and 9% of cases, respectively). qRT-PCR tests confirmed reliability of the DS data.
conclusionsBased on our data, MA and SSH data appear to be inadequate for studying differential miRNA expression in the bladder. IMPACT: We report the first comprehensive validated database of miRNA markers of human bladder cancer.
Indexed as
Identifiers
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.