Evidence map›Paper›PMID 41878440›Full record

ArticleFrontiers in immunology2026

Effect of co-occurring mutations in

Maria Lina Tornesello, Maria Carmela Piccirillo, Rosa Tambaro, Vittorio Simeon

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. 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

4 authors.

Maria Lina TorneselloMolecular Biology and Viral Oncology Unit, Department of Translational Research, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, Napoli, Italy.
Maria Carmela PiccirilloClinical Trials Unit, Department of Translational Research, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, Napoli, Italy.
Rosa TambaroUro-Gynaecological Clinical Experimental Medical Oncology, Department of Urology and Gynecology, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, Napoli, Italy.
Vittorio SimeonMedical Statistics Unit, Mental, Physical Health and Preventive Medicine department, University of Campania 'Luigi Vanvitelli', Napoli, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mutations in the Methods: Using data from the cBioPortal database, we retrospectively analysed primary bladder urothelial carcinoma cases profiled with the Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT) assays. We investigated the relationships between tumour mutational burden (TMB), microsatellite instability (MSI), and somatic mutations. The Kaplan-Meier method was used to calculate patient overall survival. Log-rank testing and multivariable Cox proportional hazards modelling were used to evaluate prognostic factors. Results: Among the 1,111 cancer cases, 416 exhibited concurrent mutations in both Conclusions: Bladder urothelial cancer can be stratified into biologically and clinically distinct subtypes on the basis of cancer driver mutations, with concomitant

Indexed as

MutationPromoter Regions, GeneticTelomeraseTumor Suppressor Protein p53Urinary Bladder NeoplasmsAgedAged, 80 and overBiomarkers, TumorFemaleHumansKaplan-Meier EstimateMaleMicrosatellite InstabilityMiddle AgedPrognosisRetrospective StudiesBiomarkers, TumorTelomeraseTERT protein, humanTP53 protein, humanTumor Suppressor Protein p53bladder urothelial carcinomaco-mutationstelomeraseTERT promoter mutationsTP53 mutations

Identifiers

PMID41878440
PMCPMC13006593

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.