Evidence map›Paper›PMID 35804889›Full record

ArticleCancers2022

The Prognostic Value of the Circulating Tumor Cell-Based Four mRNA Scoring System: A New Non-Invasive Setting for the Management of Bladder Cancer.

Consuelo Amantini, Federica Maggi, Jacopo Adolfo Rossi de Vermandois, Marilena Gubbiotti, Antonella Giannantoni, Ettore Mearini, Massimo Nabissi, Daniele Tomassoni, Giorgio Santoni, Maria Beatrice Morelli

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Review
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 at 4 institutions in 1 country.

Consuelo AmantiniSchool of Biosciences and Veterinary Medicine, University of Camerino, 62032 Camerino, Italy.ORCID 0000-0001-8711-9941
Federica MaggiSchool of Biosciences and Veterinary Medicine, University of Camerino, 62032 Camerino, Italy.
Jacopo Adolfo Rossi de VermandoisUrologic and Andrologic Clinics, University of Perugia, 05100 Perugia, Italy.
Marilena GubbiottiDepartment of Urology, San Donato Hospital, 52100 Arezzo, Italy.
Antonella GiannantoniDepartment of Medical and Surgical Sciences, University of Siena, 53100 Siena, Italy.ORCID 0000-0001-6460-6587
Ettore MeariniUrologic and Andrologic Clinics, University of Perugia, 05100 Perugia, Italy.
Massimo NabissiSchool of Pharmacy, University of Camerino, 62032 Camerino, Italy.ORCID 0000-0003-0165-1385
Daniele TomassoniSchool of Biosciences and Veterinary Medicine, University of Camerino, 62032 Camerino, Italy.ORCID 0000-0001-9062-3305
Giorgio SantoniSchool of Pharmacy, University of Camerino, 62032 Camerino, Italy.ORCID 0000-0003-2757-7064
Maria Beatrice MorelliSchool of Pharmacy, University of Camerino, 62032 Camerino, Italy.ORCID 0000-0002-4614-5649
Università di Camerino · ITUniversity of Perugia · ITOspedale San Donato · ITUniversity of Siena · IT

Funding

Fondazione Umberto Veronesi Post-doctoral Fellowship 2018, 2019PRIN Progetti di ricerca di rilevante interesse nazionale- Bando 2017, Prot. 2017FS5SHL
6 · The paper itself

Abstract

Bladder cancer (BC) is one of the most expensive lifetime cancers to treat because of the high recurrence rate, repeated surgeries, and long-term cystoscopy monitoring and treatment. The lack of an accurate classification system predicting the risk of recurrence or progression leads to the search for new biomarkers and strategies. Our pilot study aimed to identify a prognostic gene signature in circulating tumor cells (CTCs) isolated by ScreenCell devices from muscle invasive and non-muscle invasive BC patients. Through the PubMed database and Cancer Genome Atlas dataset, a panel of 15 genes modulated in BC with respect to normal tissues was selected. Their expression was evaluated in CTCs and thanks to the univariate and multivariate Cox regression analysis, EGFR, TRPM4, TWIST1, and ZEB1 were recognized as prognostic biomarkers. Thereafter, by using the risk score model, we demonstrated that this 4-gene signature significantly grouped patients into high- and low-risk in terms of recurrence free survival (HR = 2.704, 95% CI = 1.010−7.313, Log-rank p < 0.050). Overall, we identified a new prognostic signature that directly impacted the prediction of recurrence, improving the choice of the best treatment for BC patients.

Indexed as

bladder cancercirculating tumor cellsmRNA scoring systemrecurrenceTRPM4

Identifiers

PMID35804889
PMCPMC9264990
OpenAlexW4283456950

What OpenQuestion 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 OpenQuestion graph.