Evidence map›Paper›PMID 36475505›Full record

ArticleLa Medicina del lavoro2022

Identification of a new potential plasmatic biomarker panel for the diagnosis of malignant pleural mesothelioma.

Luca Ferrari, Simona Iodice, Laura Cantone, Barbara Dallari, Laura Dioni, Lorenzo Bordini, Alessandro Palleschi, Carolina Mensi, Angela Cecilia Pesatori

Open access · diamondAbstract read
In one paragraph

Article in La Medicina del lavoro, 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
0.5field-weighted citation impact, top 34% 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

9 authors at 2 institutions in 1 country.

Luca FerrariEPIGET Lab, Dipartimento di Scienze Cliniche e di Comunità, Università degli Studi di Milano. luca.ferrari@unimi.it.
Simona IodiceEPIGET Lab, Department of Clinical Sciences and Community Health, Università degli Studi di Milano. simona.iodice@unimi.it.
Laura CantoneEPIGET Lab, Department of Clinical Sciences and Community Health, Università degli Studi di Milano. laura.cantone@unimi.it.
Barbara DallariOccupational Health Unit, Fondazione IRCCS Ca' Granda - Ospedale Maggiore Policlinico. barbara.dallari@policlinico.mi.it.
Laura DioniEPIGET Lab, Department of Clinical Sciences and Community Health, Università degli Studi di Milano. laura.dioni@unimi.it.
Lorenzo BordiniOccupational Health Unit, Fondazione IRCCS Ca' Granda - Ospedale Maggiore Policlinico. lorenzo.bordini@policlinico.mi.it.
Alessandro PalleschiThoracic Surgery and Lung Transplantation Unit, Fondazione IRCCS Ca' Granda - Ospedale Maggiore Policlinico. alessandro.palleschi@policlinico.mi.it.
Carolina MensiOccupational Health Unit, Fondazione IRCCS Ca' Granda - Ospedale Maggiore Policlinico. carolina.mensi@unimi.it.
Angela Cecilia PesatoriEPIGET Lab, Department of Clinical Sciences and Community Health, Università degli Studi di Milano. angela.pesatori@unimi.it.
University of Milan · ITFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalignant pleural mesothelioma (MPM) is a rare highly aggressive tumor strongly associated with asbestos exposure and characterized by poor prognosis. Currently, diagnosis is based on invasive techniques, thus there is a need of identifying non-invasive biomarkers for early detection of the disease among asbestos-exposed subjects. In the present study, we measured the plasmatic concentrations of Mesothelin, Fibulin-3, and HMGB1 protein biomarkers, and of hsa-miR-30e-3p and hsa-miR-103a-3p Extracellular-Vesicles- embedded micro RNAs (EV-miRNAs). We tested the ability of these biomarkers to discriminate between MPM and PAE subjects alone and in combination.

methodsthe study was conducted on a population of 26 patients with MPM and 54 healthy subjects with previous asbestos exposure (PAE). Mesothelin, Fibulin-3, and HMGB1 protein biomarkers were measured by the enzyme-linked immunosorbent assay (ELISA) technique; the levels of hsa-miR-30e-3p and hsa-miR-103a-3p EV-miRNAs was assessed by quantitative real-time PCR (qPCR).

resultsthe most discriminating single biomarker resulted to be Fibulin-3 (AUC 0.94 CI 95% 0.88-1.0; Sensitivity 88%; Specificity 87%). After investigating the different possible combinations, the best performance was obtained by the three protein biomarkers Mesothelin, Fibulin-3, and HMGB1 (AUC 0.99 CI 95% 0.97-1.0; Sensitivity 96%; Specificity 93%).

conclusionsthe results obtained contribute to identifying new potential non-invasive biomarkers for the early diagnosis of MPM in high-risk asbestos-exposed subjects. Further studies are needed to validate the evidence obtained, in order to assess the reliability of the proposed biomarker panel.

Indexed as

HMGB1 ProteinMesothelioma, MalignantMicroRNAsHumansReproducibility of ResultsHMGB1 ProteinMicroRNAs

Identifiers

PMID36475505
PMCPMC9766837
OpenAlexW4311579369

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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 OpenQuestion graph.