Evidence map›Paper›PMID 37511550›Full record

ArticleInternational journal of molecular sciences2023

Epithelial-to-Mesenchymal Transition Gene Signature in Circulating Melanoma Cells: Biological and Clinical Relevance.

Maria Cristina Rapanotti, Elisa Cugini, Elena Campione, Cosimo Di Raimondo, Gaetana Costanza, Piero Rossi, Amedeo Ferlosio, Sergio Bernardini, Augusto Orlandi, Anastasia De Luca and 1 more

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

11 authors.

Maria Cristina RapanottiDepartment of Anatomic Pathology, University of Rome Tor Vergata, Viale Oxford 81, 00133 Rome, Italy.
Elisa CuginiDepartment of Laboratory Medicine, University of Rome Tor Vergata, Viale Oxford 81, 00133 Rome, Italy.
Elena CampioneDermatology Unit, Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy.
Cosimo Di RaimondoDermatology Unit, Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy.ORCID 0000-0003-4691-9381
Gaetana CostanzaDepartment of Laboratory Medicine, University of Rome Tor Vergata, Viale Oxford 81, 00133 Rome, Italy.ORCID 0000-0002-1115-4270
Piero RossiSurgery Division, Department of Surgery Sciences, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy.
Amedeo FerlosioDepartment of Anatomic Pathology, University of Rome Tor Vergata, Viale Oxford 81, 00133 Rome, Italy.
Sergio BernardiniDepartment of Laboratory Medicine, University of Rome Tor Vergata, Viale Oxford 81, 00133 Rome, Italy.
Augusto OrlandiDepartment of Anatomic Pathology, University of Rome Tor Vergata, Viale Oxford 81, 00133 Rome, Italy.ORCID 0000-0001-7202-5854
Anastasia De LucaDepartment of Biology, University of Rome Tor Vergata, Via della Ricerca Scientifica 1, 00133 Rome, Italy.ORCID 0000-0002-6532-989X
Luca BianchiDermatology Unit, Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy.ORCID 0000-0001-8697-6896

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most promising method for monitoring patients with minimal morbidity is the detection of circulating melanoma cells (CMCs). We have shown that CD45

Indexed as

MelanomaNeoplastic Cells, CirculatingCell Line, TumorClinical RelevanceEpithelial-Mesenchymal TransitionHumanscirculating melanoma cellsEMT gene signaturemetastasisresponder to therapy

Identifiers

PMID37511550
PMCPMC10380315

What OpenQuestion holds

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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.