Evidence map›Paper›PMID 28377727›Full record

ArticleFrontiers in physiology2017

Transcriptomic Analysis of the Claudin Interactome in Malignant Pleural Mesothelioma: Evaluation of the Effect of Disease Phenotype, Asbestos Exposure, and CDKN2A Deletion Status.

Erasmia Rouka, Georgios D Vavougios, Evgeniy I Solenov, Konstantinos I Gourgoulianis, Chrissi Hatzoglou, Sotirios G Zarogiannis

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

Article in Frontiers in physiology, 2017. 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
0.6field-weighted citation impact, top 29% 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, 6 citations in OpenAlex.

  1. Article
  2. Genomics and Functional Genomics of Malignant Pleural Mesothelioma.International journal of molecular sciences · 2020
    Review
  3. 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

6 authors at 2 institutions in 2 countries.

Erasmia RoukaGradute Program in Primary Health Care, Faculty of Medicine, University of Thessaly Larissa, Greece.
Georgios D VavougiosDepartment of Respiratory Medicine, University of Thessaly Medical School Larissa, Greece.
Evgeniy I SolenovInstitute of Cytology and Genetics of the Siberian Branch of the Russian Academy of SciencesNovosibirsk, Russia; Department of Physiology, Novosibirsk State UniversityNovosibirsk, Russia.
Konstantinos I GourgoulianisGradute Program in Primary Health Care, Faculty of Medicine, University of ThessalyLarissa, Greece; Department of Respiratory Medicine, University of Thessaly Medical SchoolLarissa, Greece.
Chrissi HatzoglouGradute Program in Primary Health Care, Faculty of Medicine, University of ThessalyLarissa, Greece; Department of Respiratory Medicine, University of Thessaly Medical SchoolLarissa, Greece; Department of Physiology, Faculty of Medicine, University of ThessalyLarissa, Greece.
Sotirios G ZarogiannisGradute Program in Primary Health Care, Faculty of Medicine, University of ThessalyLarissa, Greece; Department of Respiratory Medicine, University of Thessaly Medical SchoolLarissa, Greece; Department of Physiology, Faculty of Medicine, University of ThessalyLarissa, Greece.
University of Thessaly · GRNovosibirsk State University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignant pleural mesothelioma (MPM) is a highly aggressive tumor primarily associated with asbestos exposure. Early detection of MPM is restricted by the long latency period until clinical presentation, the ineffectiveness of imaging techniques in early stage detection and the lack of non-invasive biomarkers with high sensitivity and specificity. In this study we used transcriptome data mining in order to determine which

Indexed as

asbestosCDKN2Aclaudinsinteractomemalignant mesotheliomapleuratight junctionstranscriptome

Identifiers

PMID28377727
PMCPMC5359316
OpenAlexW2602048237

What OpenQuestion holds

Textmetadata
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.