{"doi":"10.21037/tcr-22-373","title":"Comprehensive bioinformatics analysis for MEF2 family genes in gastric cancer","abstract":"<h4>Background</h4><i>MEF2</i> family was associated with the pathogenesis of cancers. The crucial roles of <i>MEF2</i> family members in gastric cancer (GC) have been demonstrated. However, the underlying mechanisms remain unclear.<h4>Methods</h4>Our study profiles the variance of four <i>MEF2</i> genes in GC from genomic, epigenomic, and transcriptome angles. Iterative weight gene co-expression network analysis (WGCNA) was applied to identify the <i>MEF2</i>-related module and hub genes. enrichment analysis was conducted for <i>MEF2</i>-related hub genes using Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG).<h4>Results</h4>the transcriptome level of <i>MEF2</i> genes were dysregulated in GC patients. The overall copy number status for <i>MEF2</i> genes is copy number gain except for <i>MEF2</i>C with copy number loss. Besides, we screened out two sets of <i>MEF2</i> related hub genes that enrichment analysis separates them into \"intranuclear set\" and \"extracellular set\". By analyzing the \"intranuclear set\", we screened out 6 miRNAs and 5 miRNA modulators that co-expressed with the <i>MEF2</i> family and prognostic significance.<h4>Conclusions</h4>our study investigated the variance of <i>MEF2</i> family genes in the aspect of transcriptome and genomic and its clinical relevance. We found two sets of <i>MEF2</i>-related genes with different biological functions and 6 miRNAs targeting the <i>MEF2</i> genes. Further research is required for validation and clarifying the deep underlying mechanism.","journal":"Translational Cancer Research","year":2022,"id":6203,"datarank":0.16479184330021646,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"self_citation_contribution":0.16479184330021646,"citation_network_contribution":0.0,"self_endowment_contribution":0.16479184330021646,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.0818,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-11-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":58165,"name":"Ming Luo","orcid":"0000-0003-2281-8324","position":1,"is_corresponding":false},{"id":58166,"name":"Peilong Wang","orcid":"0000-0003-2309-9982","position":2,"is_corresponding":false},{"id":1667,"name":"Hongling Peng","orcid":"0000-0003-2770-5150","position":3,"is_corresponding":false},{"id":1666,"name":"Zhao Cheng","orcid":"0000-0002-5801-1517","position":4,"is_corresponding":false},{"id":30887,"name":"Alexandra P. Lewis","orcid":"0000-0002-6195-4786","position":5,"is_corresponding":false},{"id":1661,"name":"Hongkai Zhu","orcid":"0000-0002-5033-8419","position":0,"is_corresponding":true}],"reference_count":64,"raw_metadata":null,"created_at":"2026-03-01T18:20:47.508186Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}