Evidence map›Paper›PMID 29900099›Full record

ArticleEuPA open proteomics2016

Comparative proteomic analysis of malignant pleural mesothelioma: Focusing on the biphasic subtype.

Laura Giusti, Federica Ciregia, Alessandra Bonotti, Ylenia Da Valle, Elena Donadio, Claudia Boldrini, Rudy Foddis, Gino Giannaccini, Maria R Mazzoni, Pier Aldo Canessa and 2 more

Open access · goldAbstract read
In one paragraph

Article in EuPA open proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 100% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

12 authors at 2 institutions in 1 country.

Laura GiustiDepartment of Pharmacy, University of Pisa, Pisa, Italy.
Federica CiregiaDepartment of Pharmacy, University of Pisa, Pisa, Italy.
Alessandra BonottiPreventive and Occupational Medicine, University Hospital of Pisa, Pisa, Italy.
Ylenia Da ValleDepartment of Pharmacy, University of Pisa, Pisa, Italy.
Elena DonadioDepartment of Pharmacy, University of Pisa, Pisa, Italy.
Claudia BoldriniDepartment of Pharmacy, University of Pisa, Pisa, Italy.
Rudy FoddisDepartment of Translational Research and of New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Gino GiannacciniDepartment of Pharmacy, University of Pisa, Pisa, Italy.
Maria R MazzoniDepartment of Pharmacy, University of Pisa, Pisa, Italy.
Pier Aldo CanessaDipartimento Ospedaliero Medico 2 dell⿿ ASL5 Spezzino, La Spezia, Italy.
Alfonso CristaudoDepartment of Translational Research and of New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Antonio LucacchiniDepartment of Pharmacy, University of Pisa, Pisa, Italy.
University of Pisa · ITAzienda Ospedaliera Universitaria Pisana · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignant pleural mesothelioma (MPM) is a rare cancer originated from pleural mesothelial cells. MPM has been associated with long-term exposure to asbestos. In this work we performed a comparative proteomic analysis of biphasic pleural mesothelioma (B-PM). Tissue biopsies were obtained from 61 patients who were subjected to a diagnostic thoracoscopy. 2D/MS based approach was used for proteomic analysis. The 22 proteins found differentially expressed in B-PM, with respect to benign, were analyzed by Ingenuity Pathways Analysis and compared with those obtained for epitheliod pleural mesothelioma (E-PM). A different activation of transcription factors, proteins and cytokines were observed between two subtypes.

Indexed as

BiphasicEpithelioidMesotheliomaNrf2ProteomicsSerum amyloid

Identifiers

PMID29900099
PMCPMC5988614
OpenAlexW2252255777

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.