{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Salamini-Montemurri M"],"funding":["The European Regional Development Fund-ERDF \"A way of Making Europe\"","Xunta de Galicia","Instituto de Salud Carlos III","Ministerio de Ciencia e Innovación. Spain","Ministerio de Ciencia Innovación y Universidades SPAIN","Fondo Europeo de Desarrollo Regional-FEDER","Ministerio de Ciencia e Innovación","Ministry of Science, Innovation, and Universities of Spain","Plan Estatal I + D + i, Instituto de Salud Carlos III"],"pagination":["10798"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10341812"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["24(13)"],"pubmed_abstract":["Epithelial ovarian cancer (EOC) is one of the deadliest gynecological cancers worldwide, mainly because of its initially asymptomatic nature and consequently late diagnosis. Long non-coding RNAs (lncRNA) are non-coding transcripts of more than 200 nucleotides, whose deregulation is involved in pathologies such as EOC, and are therefore envisaged as future biomarkers. We present a meta-analysis of available gene expression profiling (microarray and RNA sequencing) studies from EOC patients to identify lncRNA genes with diagnostic and prognostic value. In this meta-analysis, we include 46 independent cohorts, along with available expression profiling data from EOC cell lines. Differential expression analyses were conducted to identify those lncRNAs that are deregulated in (i) EOC versus heal"],"journal":["International journal of molecular sciences"],"pubmed_title":["Identification of lncRNAs Deregulated in Epithelial Ovarian Cancer Based on a Gene Expression Profiling Meta-Analysis."],"pmcid":["PMC10341812"],"funding_grant_id":["PID2021-124564OB-I00","PI18/01417","cofinancer: PI18/01417; PID2021-124564OB-I00; ED431C 2020-08","ED431C 2020-08","Predoctoral fellowshipr to M.S-M."],"pubmed_authors":["Cerdan ME","Lorenzo-Catoira L","Lamas-Maceiras M","Rodriguez-Belmonte E","Vizoso-Vazquez A","Quindos-Varela M","Salamini-Montemurri M","Barreiro-Alonso A"],"additional_accession":[]},"is_claimable":false,"name":"Identification of lncRNAs Deregulated in Epithelial Ovarian Cancer Based on a Gene Expression Profiling Meta-Analysis.","description":"Epithelial ovarian cancer (EOC) is one of the deadliest gynecological cancers worldwide, mainly because of its initially asymptomatic nature and consequently late diagnosis. Long non-coding RNAs (lncRNA) are non-coding transcripts of more than 200 nucleotides, whose deregulation is involved in pathologies such as EOC, and are therefore envisaged as future biomarkers. We present a meta-analysis of available gene expression profiling (microarray and RNA sequencing) studies from EOC patients to identify lncRNA genes with diagnostic and prognostic value. In this meta-analysis, we include 46 independent cohorts, along with available expression profiling data from EOC cell lines. Differential expression analyses were conducted to identify those lncRNAs that are deregulated in (i) EOC versus heal","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Jun","modification":"2026-04-08T13:13:17.649Z","creation":"2025-02-19T03:20:51.079Z"},"accession":"S-EPMC10341812","cross_references":{"pubmed":["37445988"],"doi":["10.3390/ijms241310798"]}}