Evidence map›Paper›PMID 27835874›Full record

ArticleOncotarget2017

Malignant pleural mesothelioma and mesothelial hyperplasia: A new molecular tool for the differential diagnosis.

Rossella Bruno, Greta Alì, Riccardo Giannini, Agnese Proietti, Marco Lucchi, Antonio Chella, Franca Melfi, Alfredo Mussi, Gabriella Fontanini

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Recurrent aseptic peritonitis in a dog diagnosed with peritoneal mesothelioma post-mortem.The Canadian veterinary journal = La revue veterinaire canadienne · 2026
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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

9 authors at 2 institutions in 1 country.

Rossella BrunoDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, Pisa, Italy.
Greta AlìDivision of Pathological Anatomy, University Hospital of Pisa, Pisa, Italy.
Riccardo GianniniDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, Pisa, Italy.
Agnese ProiettiDivision of Pathological Anatomy, University Hospital of Pisa, Pisa, Italy.
Marco LucchiDivision of Thoracic Surgery, University Hospital of Pisa, Pisa, Italy.
Antonio ChellaDivision of Pneumology, University Hospital of Pisa, Pisa, Italy.
Franca MelfiDivision of Thoracic Surgery, University Hospital of Pisa, Pisa, Italy.
Alfredo MussiDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, Pisa, Italy.
Gabriella FontaniniDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, Pisa, Italy.
Azienda Ospedaliera Universitaria Pisana · ITUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignant pleural mesothelioma (MPM) is a rare asbestos related cancer, aggressive and unresponsive to therapies. Histological examination of pleural lesions is the gold standard of MPM diagnosis, although it is sometimes hard to discriminate the epithelioid type of MPM from benign mesothelial hyperplasia (MH).This work aims to define a new molecular tool for the differential diagnosis of MPM, using the expression profile of 117 genes deregulated in this tumour.The gene expression analysis was performed by nanoString System on tumour tissues from 36 epithelioid MPM and 17 MH patients, and on 14 mesothelial pleural samples analysed in a blind way. Data analysis included raw nanoString data normalization, unsupervised cluster analysis by Pearson correlation, non-parametric Mann Whitney U-test and molecular classification by the Uncorrelated Shrunken Centroid (USC) Algorithm.The Mann-Whitney U-test found 35 genes upregulated and 31 downregulated in MPM. The unsupervised cluster analysis revealed two clusters, one composed only of MPM and one only of MH samples, thus revealing class-specific gene profiles. The Uncorrelated Shrunken Centroid algorithm identified two classifiers, one including 22 genes and the other 40 genes, able to properly classify all the samples as benign or malignant using gene expression data; both classifiers were also able to correctly determine, in a blind analysis, the diagnostic categories of all the 14 unknown samples.In conclusion we delineated a diagnostic tool combining molecular data (gene expression) and computational analysis (USC algorithm), which can be applied in the clinical practice for the differential diagnosis of MPM.

Indexed as

AdolescentAdultAgedAged, 80 and overBiomarkers, TumorCluster AnalysisComputational BiologyDiagnosis, DifferentialFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansHyperplasiaLung NeoplasmsMaleMesotheliomaBiomarkers, Tumorclassification modelsdifferential diagnosisgene profilesmalignant pleural mesotheliomamesothelial hyperplasia

Identifiers

PMID27835874
PMCPMC5356839
OpenAlexW2554849503

What OpenQuestion holds

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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.