Evidence map›Paper›PMID 37347449›Full record

SynthesisBiochemical genetics2024

Genes and Pathways Involved in the Progression of Malignant Pleural Mesothelioma: A Meta-analysis of Genome-Wide Expression Studies.

Alejandro Mejia-Garcia, Diego A Bonilla, Claudia M Ramirez, Fabio A Escobar-Díaz, Alba Lucia Combita, Diego A Forero, Carlos Orozco

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Biochemical genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 4 institutions in 3 countries.

Alejandro Mejia-GarciaMolecular Genetics Research Group (GENMOL), Universidad de Antioquia, Medellín, Colombia.
Diego A BonillaResearch Division, Dynamical Business & Science Society - DBSS International SAS, Bogotá, Colombia.
Claudia M RamirezHealth and Sport Sciences Research Group, School of Health and Sport Sciences, Fundación Universitaria del Área Andina, Bogotá, Colombia.
Fabio A Escobar-DíazPublic Health and Epidemiology Research Group, School of Health and Sport Sciences, Fundación Universitaria del Área Andina, Bogotá, Colombia.
Alba Lucia CombitaCancer Biology Research Group, Instituto Nacional de Cancerología, Bogotá, Colombia.
Diego A ForeroHealth and Sport Sciences Research Group, School of Health and Sport Sciences, Fundación Universitaria del Área Andina, Bogotá, Colombia.
Carlos OrozcoHealth and Sport Sciences Research Group, School of Health and Sport Sciences, Fundación Universitaria del Área Andina, Bogotá, Colombia. corozco35@areandina.edu.co.
Fundación Universitaria del Área Andina · CODynamic Systems (United States) · USUniversidad de Antioquia · COUniversidad Nacional de Colombia · CO

Funding

Fundación Universitaria del Area Andina CV2022-CSD-B-12516
6 · The paper itself

Abstract

Malignant pleural mesothelioma (MPM) is a rare and aggressive neoplasm of the pleural tissue that lines the lungs and is mainly associated with long latency from asbestos exposure. This tumor has no effective therapeutic opportunities nowadays and has a very low five-year survival rate. In this sense, identifying molecular events that trigger the development and progression of this tumor is highly important to establish new and potentially effective treatments. We conducted a meta-analysis of genome-wide expression studies publicly available at the Gene Expression Omnibus (GEO) and ArrayExpress databases. The differentially expressed genes (DEGs) were identified, and we performed functional enrichment analysis and protein-protein interaction networks (PPINs) to gain insight into the biological mechanisms underlying these genes. Additionally, we constructed survival prediction models for selected DEGs and predicted the minimum drug inhibition concentration of anticancer drugs for MPM. In total, 115 MPM tumor transcriptomes and 26 pleural tissue controls were analyzed. We identified 1046 upregulated DEGs in the MPM samples. Cellular signaling categories in tumor samples were associated with the TNF, PI3K-Akt, and AMPK pathways. The inflammatory response, regulation of cell migration, and regulation of angiogenesis were overrepresented biological processes. Expression of SOX17 and TACC1 were associated with reduced survival rates. This meta-analysis identified a list of DEGs in MPM tumors, cancer-related signaling pathways, and biological processes that were overrepresented in MPM samples. Some therapeutic targets to treat MPM are suggested, and the prognostic potential of key genes is shown.

Indexed as

Lung NeoplasmsMesotheliomaMesothelioma, MalignantPleural NeoplasmsHumansPhosphatidylinositol 3-KinasesPhosphatidylinositol 3-KinasesDifferentially expressed genesGenome-wide expression studiesMalignant pleural mesotheliomaMeta-analysis

Identifiers

PMID37347449
OpenAlexW4381597225

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.