Evidence map›Paper›PMID 38003433›Full record

ArticleInternational journal of molecular sciences2023

Characterization of a miRNA Signature with Enhanced Diagnostic and Prognostic Power for Patients with Bladder Carcinoma.

Maria Samara, Panagiotis J Vlachostergios, Eleni Thodou, Ioannis Zachos, Lampros Mitrakas, Konstantinos Evmorfopoulos, Vassilios Tzortzis, Antonis Giakountis

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Maria SamaraDepartment of Pathology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41335 Larissa, Greece.ORCID 0000-0003-0433-6436
Panagiotis J VlachostergiosDepartment of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0002-1704-1517
Eleni ThodouDepartment of Pathology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41335 Larissa, Greece.
Ioannis ZachosDepartment of Urology, Faculty of Medicine, School of Health Sciences, University of Thessaly, University Hospital of Larissa, 41335 Larissa, Greece.
Lampros MitrakasDepartment of Urology, Faculty of Medicine, School of Health Sciences, University of Thessaly, University Hospital of Larissa, 41335 Larissa, Greece.ORCID 0000-0002-2563-5833
Konstantinos EvmorfopoulosDepartment of Urology, Faculty of Medicine, School of Health Sciences, University of Thessaly, University Hospital of Larissa, 41335 Larissa, Greece.ORCID 0000-0002-5634-9944
Vassilios TzortzisDepartment of Urology, Faculty of Medicine, School of Health Sciences, University of Thessaly, University Hospital of Larissa, 41335 Larissa, Greece.
Antonis GiakountisDepartment of Biochemistry and Biotechnology, University of Thessaly, 41335 Larissa, Greece.ORCID 0000-0001-8648-9908

Funding

University of Thessaly Master programs of "Applications of Molecular Biology-Genetics-Diagnostic Biomarkers", "Toxicology" and "Advanced Experimental and Computational Biosciences"
6 · The paper itself

Abstract

Bladder carcinoma is globally among the most prevalent cancers and is associated with a high mortality rate at advanced stages. Its detection relies on invasive diagnostic methods that are unpleasant for the patient. Non-invasive molecular biomarkers, such as miRNAs, could serve as alternatives for early detection and prognosis of this malignancy. We designed a computational approach that combines transcriptome profiling, survival analyses, and calculation of diagnostic power in order to isolate miRNA signatures with high diagnostic and prognostic utility. Our analysis of TCGA-BLCA data from 429 patients yielded one miRNA signature, consisting of five upregulated and three downregulated miRNAs with cumulative diagnostic power that outperforms current diagnostic methods. The same miRNAs have a strong prognostic significance since their expression is associated with the overall survival of bladder cancer patients. We evaluated the expression of this signature in 19 solid cancer types, supporting its unique diagnostic utility for bladder carcinoma. We provide computational evidence regarding the functional implications of this miRNA signature in cell cycle regulation, demonstrating its abundance in body fluids, including peripheral blood and urine. Our study characterized a novel miRNA signature with the potential to serve as a non-invasive method for bladder cancer diagnosis and prognosis.

Indexed as

MicroRNAsUrinary Bladder NeoplasmsBiomarkers, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisUrinary BladderBiomarkers, TumorMicroRNAsbladder carcinomadiagnosis and prognosisgenitourinary transcriptomicsmiRNAsROC analysis

Identifiers

PMID38003433
PMCPMC10671612

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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.