{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Nie J"],"funding":["Master Degree Research Start-Up Fund of Affiliated Hospital of Zunyi Medical University"],"pagination":["5851269"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8906974"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["2022"],"pubmed_abstract":["<h4>Background</h4>Lung adenosquamous carcinoma (LASC) is a special type of lung cancer. LASC is a malignant tumor with strong aggressiveness and a poor prognosis. Previous studies have revealed that microRNAs (miRNAs) are widely involved in the development of tumors by targeting mRNA. This study is aimed at identifying the key mRNAs and miRNAs of LASC and constructing miRNA-mRNA networks for deeply comprehending the latent molecular mechanisms.<h4>Methods</h4>mRNA dataset (GSE51852) and miRNA dataset (GSE51853) were extracted and downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs) were picked out by the GEO2R web tool. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional en"],"journal":["Computational and mathematical methods in medicine"],"pubmed_title":["Bioinformatics Analysis of mRNAs and miRNAs for Identifying Potential Biomarkers in Lung Adenosquamous Carcinoma."],"pmcid":["PMC8906974"],"funding_grant_id":["Zunshi kehe[2019]72","[2018]5623","[2020]8","gzwjkj2020-1-054","[2016]31"],"pubmed_authors":["Liu Y","Li Z","Zhang J","Nie J","Gong L","Zhang L","Liu D","Ou D"],"additional_accession":[]},"is_claimable":false,"name":"Bioinformatics Analysis of mRNAs and miRNAs for Identifying Potential Biomarkers in Lung Adenosquamous Carcinoma.","description":"<h4>Background</h4>Lung adenosquamous carcinoma (LASC) is a special type of lung cancer. LASC is a malignant tumor with strong aggressiveness and a poor prognosis. Previous studies have revealed that microRNAs (miRNAs) are widely involved in the development of tumors by targeting mRNA. This study is aimed at identifying the key mRNAs and miRNAs of LASC and constructing miRNA-mRNA networks for deeply comprehending the latent molecular mechanisms.<h4>Methods</h4>mRNA dataset (GSE51852) and miRNA dataset (GSE51853) were extracted and downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs) were picked out by the GEO2R web tool. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional en","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-04-18T12:11:22.513Z","creation":"2025-04-06T21:51:17.056Z"},"accession":"S-EPMC8906974","cross_references":{"pubmed":["35281953"],"doi":["10.1155/2022/5851269"]}}