Evidence map›Paper›PMID 35046456›Full record

ArticleScientific reports2022

A panel of emerging EMT genes identified in malignant mesothelioma.

Licun Wu, Shaheer Amjad, Hana Yun, Sendurai Mani, Marc de Perrot

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

24 citing papers in PubMed, 26 citations in OpenAlex.

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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

5 authors at 4 institutions in 2 countries.

Licun WuLatner Thoracic Surgery Research Laboratories, Division of Thoracic Surgery, Toronto General Hospital Research Institute, University Health Network, University of Toronto, Toronto, Canada.
Shaheer AmjadLatner Thoracic Surgery Research Laboratories, Division of Thoracic Surgery, Toronto General Hospital Research Institute, University Health Network, University of Toronto, Toronto, Canada.
Hana YunLatner Thoracic Surgery Research Laboratories, Division of Thoracic Surgery, Toronto General Hospital Research Institute, University Health Network, University of Toronto, Toronto, Canada.
Sendurai ManiDepartment of Translational Molecular Pathology, MD Anderson Cancer Center, The University of Texas, Houston, TX, USA.
Marc de PerrotLatner Thoracic Surgery Research Laboratories, Division of Thoracic Surgery, Toronto General Hospital Research Institute, University Health Network, University of Toronto, Toronto, Canada. marc.deperrot@uhn.ca.
Toronto General Hospital · CAThe University of Texas MD Anderson Cancer Center · USUniversity Health Network · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignant mesothelioma (MESO) is a highly aggressive cancer with poor prognosis. Epithelial-mesenchymal transition (EMT) is a critical process in malignancies involved in tumor angiogenesis, progression, invasion and metastasis, immunosuppressive microenvironment and therapy resistance. However, there is a lack of specific biomarkers to identify EMT in MESO. Biphasic MESO with dual phenotypes could be an optimal model to study EMT process. Using a powerful EMTome to investigate EMT gene signature, we identified a panel of EMT genes COL5A2, ITGAV, SPARC and ACTA2 in MESO. In combination with TCGA database, Timer2.0 and other resources, we observed that overexpression of these emerging genes is positively correlated with immunosuppressive infiltration, and an unfavorable factor to patient survival in MESO. The expression of these genes was confirmed in our patients and human cell lines. Our findings suggest that these genes may be novel targets for therapeutics and prognosis in MESO and other types of cancers.

Indexed as

Gene Expression Regulation, NeoplasticAnimalsBiomarkers, TumorCell Line, TumorEpithelial-Mesenchymal TransitionHumansMesothelioma, MalignantMiceNeoplasm TransplantationSequence Analysis, RNATranscriptomeTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID35046456
PMCPMC8770645
OpenAlexW4221042579

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.