Evidence map›Paper›PMID 37095543›Full record

ArticleBMC research notes2023

ATG5 as biomarker for early detection of malignant mesothelioma.

Marco Tomasetti, Federica Monaco, Olga Strogovets, Luca Volpini, Matteo Valentino, Monica Amati, Jiri Neuzil, Lory Santarelli

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 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
2.3field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

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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

8 authors at 2 institutions in 3 countries.

Marco TomasettiDepartment of Clinical and Molecular Sciences, Polytechnic University of Marche, Via Tronto 10A, Ancona, 60126, Italy. m.tomasetti@univpm.it.
Federica MonacoDepartment of Excellence SBSP-Biomedical Sciences and Public Health, Polytechnic University of Marche, Via Tronto 10A, Ancona, 60126, Italy.
Olga StrogovetsDepartment of Clinical and Molecular Sciences, Polytechnic University of Marche, Via Tronto 10A, Ancona, 60126, Italy.
Luca VolpiniDepartment of Clinical and Molecular Sciences, Polytechnic University of Marche, Via Tronto 10A, Ancona, 60126, Italy.
Matteo ValentinoDepartment of Clinical and Molecular Sciences, Polytechnic University of Marche, Via Tronto 10A, Ancona, 60126, Italy.
Monica AmatiDepartment of Clinical and Molecular Sciences, Polytechnic University of Marche, Via Tronto 10A, Ancona, 60126, Italy.
Jiri NeuzilMitochondria, Apoptosis and Cancer Research Group, School of Pharmacy and Medical Science, Griffith University, Southport, Qld, 4222, Australia.
Lory SantarelliDepartment of Clinical and Molecular Sciences, Polytechnic University of Marche, Via Tronto 10A, Ancona, 60126, Italy.
Marche Polytechnic University · ITGriffith University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMalignant pleural mesothelioma (MPM) is an aggressive disease with grim prognosis due to lack of effective treatment options. Disease prediction in association with early diagnosis may both contribute to improved MPM survival. Inflammation and autophagy are two processes associated with asbestos-induced transformation. We evaluated the level of two autophagic factors ATG5 and HMGB1, microRNAs (miRNAs) such as miR-126 and miR-222, and the specific biomarker of MPM, soluble mesothelin related proteins (Mesothelin) in asbestos-exposed individuals, MPM patients, and healthy subjects. The performance of these markers in detecting MPM was investigated in pre-diagnostic samples of asbestos-subjects who developed MPM during the follow-up and compared for the three groups.

resultsThe ATG5 best distinguished the asbestos-exposed subjects with and without MPM, while miR-126 and Mesothelin were found as a significant prognostic biomarker for MPM. ATG5 has been identified as an asbestos-related biomarker that can help to detect MPM with high sensitivity and specificity in pre-diagnostic samples for up to two years before diagnosis. To utilize this approach practically, higher number of cases has to be tested in order to give the combination of the two markers sufficient statistical power. Performance of the biomarkers should be confirmed by testing their combination in an independent cohort with pre-diagnostic samples.

Indexed as

AsbestosLung NeoplasmsMesotheliomaMesothelioma, MalignantMicroRNAsPleural NeoplasmsAutophagy-Related Protein 5Biomarkers, TumorEarly DiagnosisGPI-Linked ProteinsHumansMesothelinAsbestosATG5 protein, humanAutophagy-Related Protein 5Biomarkers, TumorGPI-Linked ProteinsMesothelinMicroRNAsAsbestos exposureATG5BiomarkersHMGB1Malignant pleural mesotheliomamiRNAs

Identifiers

PMID37095543
PMCPMC10127310
OpenAlexW4366823500

What OpenQuestion 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 OpenQuestion graph.