Evidence map›Paper›PMID 35558518›Full record

ArticleFrontiers in oncology2022

A Community-Driven, Openly Accessible Molecular Pathway Integrating Knowledge on Malignant Pleural Mesothelioma.

Marvin Martens, Franziska Kreidl, Friederike Ehrhart, Didier Jean, Merlin Mei, Holly M Mortensen, Alistair Nash, Penny Nymark, Chris T Evelo, Ferdinando Cerciello

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. 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 33% 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, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

10 authors at 7 institutions in 6 countries.

Marvin MartensDepartment of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, Maastricht, Netherlands.
Franziska KreidlDepartment of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, Maastricht, Netherlands.
Friederike EhrhartDepartment of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, Maastricht, Netherlands.
Didier JeanCentre de Recherche des Cordeliers, Inserm, Sorbonne Université, Université de Paris, Functional Genomics of Solid Tumors, Paris, France.
Merlin MeiOak Ridge Associated Universities, Research Triangle Park, Durham, NC, United States.
Holly M MortensenCenter for Public Health and Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC, United States.
Alistair NashNational Centre for Asbestos Related Diseases, University of Western Australia, Perth, WA, Australia.
Penny NymarkInstitute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden.
Chris T EveloDepartment of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, Maastricht, Netherlands.
Ferdinando CercielloDepartment of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Maastricht University · NLEnvironmental Protection Agency · USKarolinska Institutet · SEOak Ridge Associated Universities · USSorbonne Université · FRUniversity Hospital of Bern · CHUniversity of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignant pleural mesothelioma (MPM) is a highly aggressive malignancy mainly triggered by exposure to asbestos and characterized by complex biology. A significant body of knowledge has been generated over the decades by the research community which has improved our understanding of the disease toward prevention, diagnostic opportunities and new treatments. Omics technologies are opening for additional levels of information and hypotheses. Given the growing complexity and technological spread of biological knowledge in MPM, there is an increasing need for an integrating tool that may allow scientists to access the information and analyze data in a simple and interactive way. We envisioned that a platform to capture this widespread and fast-growing body of knowledge in a machine-readable and simple visual format together with tools for automated large-scale data analysis could be an important support for the work of the general scientist in MPM and for the community to share, critically discuss, distribute and eventually advance scientific results. Toward this goal, with the support of experts in the field and informed by existing literature, we have developed the first version of a molecular pathway model of MPM in the biological pathway database WikiPathways. This provides a visual and interactive overview of interactions and connections between the most central genes, proteins and molecular pathways known to be involved or altered in MPM. Currently, 455 unique genes and 247 interactions are included, derived after stringent manual curation of an initial 39 literature references. The pathway model provides a directly employable research tool with links to common databases and repositories for the exploration and the analysis of omics data. The resource is publicly available in the WikiPathways database (Wikipathways : WP5087) and continues to be under development and curation by the community, enabling the scientists in MPM to actively participate in the prioritization of shared biological knowledge.

Indexed as

BAP1cancerdisease mapmalignant pleural mesothelioma (MPM)pathway modellingWikiPathways

Identifiers

PMID35558518
PMCPMC9088009
OpenAlexW4224987999

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.