Evidence map›Paper›PMID 42057041›Full record

ArticleBMC urology2026

Urinary exosomal miRNA profiling reveals sensitive non-invasive detection of bladder cancer.

Garima Singh, Anil Kumar, Lalit Kumar, Neelu Mishra, Shristy Bhattacharjee, Kunal Yadav, Yashasvi Singh, Ujwal Kumar, Sameer Trivedi, Samarendra K Singh

Abstract read
In one paragraph

Article in BMC urology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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.

2 · The registry

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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

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No citing paper in PubMed yet.

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

10 authors.

Garima Singh *Cell Cycle and Cancer Lab, School of Biotechnology, Institute of Science, Banaras Hindu University, Varanasi, UP, 221005, India.
Anil Kumar *Department of Urology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, UP, 221005, India.
Lalit KumarDepartment of Urology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, UP, 221005, India. lalitkumarims@bhu.ac.in.ORCID http://orcid.org/0000-0002-3688-5651
Neelu MishraCell Cycle and Cancer Lab, School of Biotechnology, Institute of Science, Banaras Hindu University, Varanasi, UP, 221005, India.
Shristy BhattacharjeeCell Cycle and Cancer Lab, School of Biotechnology, Institute of Science, Banaras Hindu University, Varanasi, UP, 221005, India.
Kunal YadavCell Cycle and Cancer Lab, School of Biotechnology, Institute of Science, Banaras Hindu University, Varanasi, UP, 221005, India.
Yashasvi SinghDepartment of Urology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, UP, 221005, India.
Ujwal KumarDepartment of Urology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, UP, 221005, India.
Sameer TrivediDepartment of Urology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, UP, 221005, India.
Samarendra K SinghCell Cycle and Cancer Lab, School of Biotechnology, Institute of Science, Banaras Hindu University, Varanasi, UP, 221005, India. samarendra.singh@bhu.ac.in.ORCID http://orcid.org/0000-0002-2001-0025

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUrinary microRNAs (miRNAs) hold substantial promise as non-invasive biomarker candidates due to their molecular stability and tumor-selective expression signatures. This study integrates the high-throughput urinary miRNA landscape with clinical data to systematically identify robust, non-invasive biomarkers that facilitate the early diagnosis and better clinical management of urinary bladder cancer (UBC).

methodsUrine-derived miRNA sequencing was performed on UBC patients and healthy controls to delineate the miRNA expression profile. Computational filtering further excluded precursor form of miRNA, prioritizing the mature miRNA. Quantitative RT-PCR targeting an independent, age-matched cohort (n = 48) corroborated with the diagnostic potential of candidate miRNAs, evaluated through receiver operating characteristic (ROC) curves and area under the curve (AUC) analyses. RESULTS AND LIMITATIONS: Next-generation sequencing unveiled 865 annotated and 11 novel miRNAs, with UBC samples displaying greater miRNA diversity (708 known miRNAs) compared to relative controls (540). Among them, seven mature miRNAs were significantly dysregulated in UBC (p < 0.05), of which quantitative RT-PCR corroborated significant upregulation of miR-6724-5p, miR-1273 h-5p, miR-7704, miR-200-5p, and miR-10400-5p, with fold elevations of 1542.3, 1085.8, 1160.6, 2776.5, and 45.8, respectively (p < 0.01). Stage-stratified profiling underscored dynamic shifts in miRNA expression that correlated with tumor advancement. A three-miRNA panel (miR-6724-5p, miR-10400-5p, and miR-7704) exhibited superior diagnostic performance (AUC > 70%, sensitivity > 90%). However, this study was constrained to a single institute with a small sample size and a short follow-up period, which precluded the correlation between the identified biomarker miRNAs with cancer recurrence and patient survival.

conclusionIn this preliminary, single-centre study, mature urinary miRNAs demonstrated reproducible, stage-specific dysregulation in UBC. A combinatorial panel offered potential for a highly sensitive, specific, and non-invasive detection method. These findings propel further multicentre studies to validate the observed signatures, supporting their potential towards future clinical application.

Indexed as

Biomarkers, TumorExosomesMicroRNAsUrinary Bladder NeoplasmsAgedFemaleGene Expression ProfilingHumansMaleMiddle AgedSensitivity and SpecificityBiomarkers, TumorMicroRNAsBiomarkersDisease progressionMiRNA sequencingNon-invasive diagnosisUrinary bladder cancerUrinary microRNAs

Identifiers

PMID42057041
PMCPMC13270650

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.