Evidence map›Paper›PMID 41008920›Full record

ReviewCancers2025

Bladder Cancer: Uncovering the Predictive Role of NOTCH as an Emerging Candidate Biomarker for Therapeutic Strategies.

Chiara Cusumano, Federica Squillante, Marco Roma, Roberto Miano, Maria Pia Felli

Abstract readReview
In one paragraph

Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

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

5 authors.

Chiara CusumanoUnit of Urology, Department of Surgical Sciences, Policlinico Tor Vergata University Hospital, University of Tor Vergata, 00133 Rome, Italy.
Federica SquillanteDepartment of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0009-0007-6348-4566
Marco RomaUnit of Urology, Department of Surgical Sciences, Policlinico Tor Vergata University Hospital, University of Tor Vergata, 00133 Rome, Italy.
Roberto MianoUnit of Urology, Department of Surgical Sciences, Policlinico Tor Vergata University Hospital, University of Tor Vergata, 00133 Rome, Italy.ORCID 0000-0003-2445-1204
Maria Pia FelliDepartment of Experimental Medicine, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0002-5765-2611

Funding

Sapienza University Ateneo RP124190F49E0F8C
6 · The paper itself

Abstract

Bladder cancer (BCa) is one of the most diagnosed cancers worldwide. It is classified as non-muscle-invasive (NMIB), confined to the mucosa, and muscle-invasive (MIB), extended to deeper layers or formed metastases. The poor outcomes associated with MIBC indicate the urgent need for candidate biomarkers to improve treatment strategies. Molecular characterisation of both NMIBC and MIBC, and especially the classification of tumours into molecular subtypes, could provide the development of novel therapeutics in high-risk muscle-invasive bladder cancer. A few studies have focused on pathways implicated in MIBC, including growth factors, DNA-RNA modifying enzymes and the differential roles played by the NOTCH receptors. NOTCH1 has been revealed as a tumour suppressor; in contrast, NOTCH2 and NOTCH3 have demonstrated an oncogenic role in BCa. Recent reports have found that NOTCH2 and NOTCH3 are associated with poor prognosis. Moreover, inhibiting these NOTCH receptors effectively restrained BCa growth and metastasis, suggesting the potential value of targeting NOTCH as a promising therapeutic strategy for bladder cancer. Given the crucial role of the NOTCH pathway, we will discuss the different predictive value of the four NOTCH receptors and the potential of NOTCH-combined therapy in BCa.

Indexed as

biomarkersmuscle-invasive and non-muscle-invasive bladder cancerNOTCH3NOTCH pathway

Identifiers

PMID41008920
PMCPMC12468227

What Socratic holds

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LicenceCC BY
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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.