Evidence map›Paper›PMID 40589937›Full record

ArticleThe Yale journal of biology and medicine2025

A Comprehensive Bioinformatic Analysis Based on Functional Studies of MEF-2 Family in NSCLC.

Yanping Wang, Gaoyang Lin, Wenwen Li, Xue Zhu, Zhentong Zhao, Quanxin Wang

Abstract read
In one paragraph

Article in The Yale journal of biology and medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yanping WangDepartment of Paediatrics, Qingdao Hiser Hospital Affiliated of Qingdao University (Qingdao Traditional Chinese Medicine Hospital), Qingdao, China.
Gaoyang LinDepartment of Cardiothoracic Surgery, Qingdao Hiser Hospital Affiliated of Qingdao University (Qingdao Traditional Chinese Medicine Hospital), Qingdao, China.
Wenwen LiDepartment of Gastroenterology, Affiliated Hospital of Weifang Medical College, Weifang, China.
Xue ZhuDepartment of Cardiothoracic Surgery, Qingdao Hiser Hospital Affiliated of Qingdao University (Qingdao Traditional Chinese Medicine Hospital), Qingdao, China.
Zhentong ZhaoDepartment of Cardiothoracic Surgery, Qingdao Hiser Hospital Affiliated of Qingdao University (Qingdao Traditional Chinese Medicine Hospital), Qingdao, China.
Quanxin WangDepartment of Ultrasound Diagnosis, Jinan 5th People's Hospital, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer remains the malignancy with the highest morbidity and mortality worldwide. There are no effective guiding therapies and prognosis biomarkers, and the overall prognosis of lung cancer remains poor. The cardiomyocyte enhancer factor 2 (MEF-2) family is a highly evolutionarily conserved transcription factor that plays important roles in a variety of diseases, including tumors. Still, the overall bioinformatics function of the MEF-2 gene family in non-small cell lung cancer (NSCLC) has not been systematically reported yet. MEF-2 family members have low expression in NSCLC tissues and are associated with clinicopathological stages. MEF-2B/2D is highly expressed in lung metastatic tissues. MEF-2A, MEF-2B, and MEF-2D have obvious advantages in the diagnosis of NSCLC. Survival analysis of lung adenocarcinoma (LUAD) patients in the Cancer Genome Atlas (TCGA) database shows that MEF-2C is strongly associated with poor overall survival (OS) and disease-specific survival (DSS). Univariate and multivariate Cox analyses demonstrated that MEF-2A independently predicts the progression-free interval (PFI) in NSCLC patients. Gene set enrichment analysis (GSEA) showed that MEF-2 family members are associated with immune cell receptor function and regulation of immunoglobulin complexes. The differentially expressed genes (DEGs) associated with MEF-2 family members were significantly enriched in the cAMP signaling pathway and gastric acid secretion. Gene ontology (GO) analysis revealed DEGs that play critical roles in the cytochrome-c oxidase activity, electron transfer activity, oxidoreduction-driven active transmembrane transporter activity; the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis shows that they are mainly enriched in oxidative phosphorylation, thermogenesis, and diabetic cardiomyopathy. MEF-2A is a potential diagnostic, prognostic biomarker, and promising therapeutic target for NSCLC. Further studies are needed to verify and clarify the underlying mechanisms.

Indexed as

Carcinoma, Non-Small-Cell LungComputational BiologyLung NeoplasmsMEF2 Transcription FactorsBiomarkers, TumorGene Expression Regulation, NeoplasticHumansPrognosisBiomarkers, TumorMEF2 Transcription FactorsDiagnostic and PrognosisGOGSEAImmune InfiltrationKEGG analysisMEF-2 familyNon-Small Cell Lung Cancer

Identifiers

PMID40589937
PMCPMC12204038

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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.