Evidence map›Paper›PMID 33411030›Full record

ReviewVirchows Archiv : an international journal of pathology2021

Challenges in lung and thoracic pathology: molecular advances in the classification of pleural mesotheliomas.

Lynnette Fernandez-Cuesta, Lise Mangiante, Nicolas Alcala, Matthieu Foll

Abstract readReview
PubMed Publisher
In one paragraph

Review in Virchows Archiv : an international journal of pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
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  11. Article
  12. [Research Progress of Immune Checkpoint Inhibitors 
in Malignant Pleural Mesothelioma].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2021
    Review
  13. Review
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

4 authors.

Lynnette Fernandez-CuestaSection of Genetics, International Agency for Research on Cancer (IARC/WHO), Lyon, France. fernandezcuestal@iarc.fr.ORCID http://orcid.org/0000-0002-0724-6703
Lise MangianteSection of Genetics, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
Nicolas AlcalaSection of Genetics, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
Matthieu FollSection of Genetics, International Agency for Research on Cancer (IARC/WHO), Lyon, France. follm@iarc.fr.

Funding

World Health Organization 001
6 · The paper itself

Abstract

The diagnosis and classification of malignant pleural mesothelioma (MPM) is extremely challenging; obtaining an accurate histopathological diagnosis of the different types and subtypes requires expert assessment and suitable biopsies that are not always available, which can leave doctors uncertain about the patient's diagnosis, sometimes resulting in a delay in the start of treatment. In this review, we discuss recent major advances in the molecular characterisation of MPM and their implications for histological classification. We detail what is known of the molecular landscape of MPM at the genomic, transcriptomic, and epigenomic levels, describe the similarities and dissimilarities of the multiple molecular classifications that have been proposed, and provide an overview of the current state of knowledge regarding inter- and intra-tumour heterogeneity. We also highlight the current gaps in knowledge and how addressing them would benefit classification, as well as the patients in general.

Indexed as

Biomarkers, TumorEpigenesis, GeneticHumansLung NeoplasmsMesothelioma, MalignantPathology, MolecularPleural NeoplasmsTranscriptomeBiomarkers, TumorGenomicsMalignant pleural mesotheliomaMolecular classification

Identifiers

What OpenQuestion holds

Textmetadata
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.