ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2015
Integrative functional genetic-epigenetic approach for selecting genes as urine biomarkers for bladder cancer diagnosis.
Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05697224 (Role of Aschistosoma Haematobiumspecific microRNAas Atumor Marker for Early Diagnosis and Prognosis of Bilharzial Bladder Cancer in Eygpt), which is not on this map. Cited by 35 papers, 2 of them syntheses that pooled it.
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.
Role of Aschistosoma Haematobiumspecific microRNAas Atumor Marker for Early Diagnosis and Prognosis of Bilharzial Bladder Cancer in Eygpt
Who cites it
35 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Diagnosis and management of complicated urogenital schistosomiasis: a systematic review of the literature.Infection · 2023Pooled it
- Pooled it
- New Perspectives on the Role of Liquid Biopsy in Bladder Cancer: Applicability to Precision Medicine.Cancers · 2024Review
- Bladder cancer biomarkers: current approaches and future directions.Frontiers in oncology · 2024Review
- Proteomics for Early Detection of Non-Muscle-Invasive Bladder Cancer: Clinically Useful Urine Protein Biomarkers.Life (Basel, Switzerland) · 2022Review
- Tumoral markers in bladder cancer (Review).Experimental and therapeutic medicine · 2021Review
- Review
- Epigenomic and Metabolomic Integration Reveals Dynamic Metabolic Regulation in Bladder Cancer.Cancers · 2021Review
- Urinary exosomal microRNA-96-5p and microRNA-183-5p expression as potential biomarkers of bladder cancer.Molecular biology reports · 2021Article
- Liquid Biopsy Biomarkers in Urine: A Route towards Molecular Diagnosis and Personalized Medicine of Bladder Cancer.Journal of personalized medicine · 2021Review
- Research Progress of Urine Biomarkers in the Diagnosis, Treatment, and Prognosis of Bladder Cancer.Advances in experimental medicine and biology · 2021Article
- Long Noncoding RNAs as Innovative Urinary Diagnostic Biomarkers.Methods in molecular biology (Clifton, N.J.) · 2021Review
- Role of a schistosoma haematobium specific microRNA as a predictive and prognostic tool for bilharzial bladder cancer in Egypt.Scientific reports · 2020Article
- Urinary MicroRNAs as Potential Markers for Non-Invasive Diagnosis of Bladder Cancer.International journal of molecular sciences · 2020Article
- Urinary micro-RNA expressions and protein concentrations may differentiate bladder cancer patients from healthy controls.International urology and nephrology · 2020Article
- Advances in urinary biomarker discovery in urological research.Investigative and clinical urology · 2020Review
- Can new immunoassay techniques improve bladder cancer diagnostics With protein biomarkers?Frontiers in molecular biosciences · 2020Article
- MicroRNAs: Key Players in Bladder Cancer.Molecular diagnosis & therapy · 2019Review
- Long non-coding RNAs in genitourinary malignancies: a whole new world.Nature reviews. Urology · 2019Review
- Diagnostic significance of miR-210 as a potential tumor biomarker of human cancer detection: an updated pooled analysis of 30 articles.OncoTargets and therapy · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Early screening for bladder cancer (BC) holds the key to combat and control the increasing global burden of BC mortality. We presented a simple approach to characterize, analyze, and validate a panel of biomarkers in BC and their relationship to bilharziasis. We investigated voided urine and blood samples from patients with bladder cancer (n = 94), benign bladder lesions (n = 60), and age-matched normal controls (n = 56). This study was divided into the following phases. (1) We analyzed the expression of urinary Hyaluronoglucosaminidase 1 (HYAL1) protein in BC and control samples by zymography. (2) We performed bioinformatics analysis to retrieve a set of epigenetic regulators of HYAL1. (3) This set of three selected genes [long non-coding RNA-urothelial cancer associated 1(lncRNA-UCA1), microRNA-210, and microRNA-96] was then analyzed in the same urine samples used in phase I by quantitative real-time PCR. (4) A high reproducibility of gene selection results was also determined from statistical validation. The urinary expression of HYAL1 protein and its epigenetic regulators were higher in BC patients (P < .001). The receiver-operating characteristic curve analyses demonstrated that each one had good sensitivity and specificity for distinguishing BC patients from non-BC ones (HYAL1, 89.4 and 91.2 %; miR-210, 76.6 and 93 %; miR-96, 76.6 and 89.4 %; and lncRNA-UCA1, 91.5 and 96.5 %). There was a significant positive correlation between HYAL1 and the selected epigenetic biomarkers. The performance of this urine biomarker panel reached 100 % sensitivity and 89.5 % specificity for bladder cancer diagnosis.
Indexed as
Identifiers
26138586What 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.