Evidence map›Paper›PMID 34070018›Full record

ArticleCancers2021

Liquid Biopsies from Pleural Effusions and Plasma from Patients with Malignant Pleural Mesothelioma: A Feasibility Study.

Gabriele Moretti, Paolo Aretini, Francesca Lessi, Chiara Maria Mazzanti, Guntulu Ak, Muzaffer Metintaş, Cecilia Lando, Rosa Angela Filiberti, Marco Lucchi, Alessandra Bonotti and 9 more

Abstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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

19 authors.

Gabriele MorettiDepartment of Biology, Genetic Unit, University of Pisa, via Derna 1, 56126 Pisa, Italy.ORCID 0000-0001-8605-578X
Paolo AretiniFondazione Pisana per la Scienza, Via Ferruccio Giovannini 13, 56017 San Giuliano Terme, Italy.ORCID 0000-0003-1075-4319
Francesca LessiFondazione Pisana per la Scienza, Via Ferruccio Giovannini 13, 56017 San Giuliano Terme, Italy.
Chiara Maria MazzantiFondazione Pisana per la Scienza, Via Ferruccio Giovannini 13, 56017 San Giuliano Terme, Italy.
Guntulu AkEskisehir Osmangazi University Lung and Pleural Cancers Research and Clinical Center, Eskisehir 26000, Turkey.ORCID 0000-0001-8849-193X
Muzaffer MetintaşEskisehir Osmangazi University Lung and Pleural Cancers Research and Clinical Center, Eskisehir 26000, Turkey.ORCID 0000-0002-4812-0170
Cecilia LandoIRCCS Ospedale Policlinico San Martino, Clinical Epidemiology, 16132 Genova, Italy.
Rosa Angela FilibertiIRCCS Ospedale Policlinico San Martino, Clinical Epidemiology, 16132 Genova, Italy.ORCID 0000-0002-4682-393X
Marco LucchiDivision of Thoracic Surgery, Cardiac-Thoracic and Vascular Department, University Hospital of Pisa, 56124 Pisa, Italy.
Alessandra BonottiPreventive and Occupational Medicine, University Hospital of Pisa, 56126 Pisa, Italy.
Rudy FoddisDepartment of Translational Research and of New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.
Alfonso CristaudoDepartment of Translational Research and of New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0001-6575-5701
Andrea BottariDepartment of Biology, Genetic Unit, University of Pisa, via Derna 1, 56126 Pisa, Italy.ORCID 0000-0001-5343-7271
Alessandro ApolloDepartment of Biology, Genetic Unit, University of Pisa, via Derna 1, 56126 Pisa, Italy.
Marzia Del ReDivision of Pharmacology, Department of Internal Medicine, University of Pisa, 55, Via Roma, 56126 Pisa, Italy.ORCID 0000-0001-7343-6161
Romano DanesiDivision of Pharmacology, Department of Internal Medicine, University of Pisa, 55, Via Roma, 56126 Pisa, Italy.ORCID 0000-0002-4414-8934
Luciano MuttiSbarro Institute for Cancer Research and Molecular Medicine, Center for Biotechnology, College of Science and Technology, Temple University, Philadelphia, PA 19104, USA.ORCID 0000-0002-1578-2637
Federica GemignaniDepartment of Biology, Genetic Unit, University of Pisa, via Derna 1, 56126 Pisa, Italy.
Stefano LandiDepartment of Biology, Genetic Unit, University of Pisa, via Derna 1, 56126 Pisa, Italy.ORCID 0000-0001-8364-6357

Funding

Fondazione Pisa 153/16
6 · The paper itself

Abstract

backgroundMalignant pleural mesothelioma (MPM) is a fatal tumor with a poor prognosis. The recent developments of liquid biopsies could provide novel diagnostic and prognostic tools in oncology. However, there is limited information about the feasibility of this technique for MPMs. Here, we investigate whether cancer-specific DNA sequences can be detected in pleural fluids and plasma of MPM patients as free circulating tumor DNA (ctDNA).

methodsWe performed whole-exome sequencing on 14 tumor biopsies from 14 patients, and we analyzed 20 patient-specific somatic mutations with digital droplet PCR (ddPCR) in pleural fluids and plasma, using them as cancer-specific tumor biomarkers.

resultsMost of the selected mutations could be detected in pleural fluids (94%) and, noteworthy, in plasma (83%) with the use of ddPCR. Pleural fluids showed similar levels of somatically mutated ctDNA (median = 12.75%, average = 16.3%, standard deviation = 12.3) as those detected in solid biopsies (median = 21.95%; average = 22.21%; standard deviation = 9.57), and their paired difference was weakly statistically significant (

conclusionsWe found robust evidence that mutated DNA is spilled from MPMs, mostly into pleural fluids, proving the concept that liquid biopsies are feasible for MPM patients.

Indexed as

cancer biomarkerscancer-specific mutationscirculating tumor DNAgenomicsliquid biopsiesmalignant pleural mesotheliomaplasma

Identifiers

PMID34070018
PMCPMC8157824

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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.