{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["23(6)"],"submitter":["O'Neill JR"],"funding":["FNP","European Commission"],"pubmed_abstract":["Efforts to address the poor prognosis associated with esophageal adenocarcinoma (EAC) have been hampered by a lack of biomarkers to identify early disease and therapeutic targets. Despite extensive efforts to understand the somatic mutations associated with EAC over the past decade, a gap remains in understanding how the atlas of genomic aberrations in this cancer impacts the proteome and which somatic variants are of importance for the disease phenotype. We performed a quantitative proteomic analysis of 23 EACs and matched adjacent normal esophageal and gastric tissues. We explored the correlation of transcript and protein abundance using tissue-matched RNA-seq and proteomic data from seven patients and further integrated these data with a cohort of EAC RNA-seq data (n = 264 patients), EA"],"journal":["Molecular & cellular proteomics : MCP"],"pagination":["100764"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11245951"],"repository":["biostudies-literature"],"pubmed_title":["Multi-Omic Analysis of Esophageal Adenocarcinoma Uncovers Candidate Therapeutic Targets and Cancer-Selective Posttranscriptional Regulation."],"pmcid":["PMC11245951"],"pubmed_authors":["Davies A","Safranek P","Kocikowski M","Carroll N","Lagergren J","Goh V","Uhrik L","Saunders J","Hanna GB","Contino G","Hardwick RH","Lovat L","Save V","Taniere P","Lishman S","Yebenes Mayordomo M","Mahadeva U","Devonshire G","Nutzinger B","Sujendran V","Faktor J","Chan D","Cheong E","Coleman H","Sanders G","Petty RD","Arends MJ","McManus D","Grehan N","Ang Y","Walker RC","O'Neill JR","Freeman A","Davies J","Mitulovic G","Kaye P","Grabowska A","Malhotra S","O'Donovan M","Bedran G","Fitzgerald RC","Peters CJ","Loreno C","Jammula S","Hindmarsh A","Hayes SJ","Redmond AM","Scott M","Sreedharan L","Moorthy K","Secrier M","Hernychova L","Sothi S","Gossage J","Gomez-Herranz M","Bartlet F","Crichton C","Puig S","Hupp TR","Parsons SL","Chang F","Haidry R","Vojtesek B","Skipworth RJE","Beggs A","Underwood TJ","Bagwan I","Hupp T","Miremadi A","Abbas S","Berrisford R","Tripathi M","Millington C","Sharrocks A","Preston SR","Alfaro JA","OCCAMS Consortium","Al Shboul S","Grace BL","Soomro I","Ciccarelli FD","Coles H","Edwards PAW","Tucker O","Cheah C","Turkington R","Smyth EC","Kumar B","Eldridge M"],"additional_accession":[]},"is_claimable":false,"name":"Multi-Omic Analysis of Esophageal Adenocarcinoma Uncovers Candidate Therapeutic Targets and Cancer-Selective Posttranscriptional Regulation.","description":"Efforts to address the poor prognosis associated with esophageal adenocarcinoma (EAC) have been hampered by a lack of biomarkers to identify early disease and therapeutic targets. Despite extensive efforts to understand the somatic mutations associated with EAC over the past decade, a gap remains in understanding how the atlas of genomic aberrations in this cancer impacts the proteome and which somatic variants are of importance for the disease phenotype. We performed a quantitative proteomic analysis of 23 EACs and matched adjacent normal esophageal and gastric tissues. We explored the correlation of transcript and protein abundance using tissue-matched RNA-seq and proteomic data from seven patients and further integrated these data with a cohort of EAC RNA-seq data (n = 264 patients), EA","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Jun","modification":"2026-07-15T08:13:14.043Z","creation":"2025-04-04T08:04:12.362Z"},"accession":"S-EPMC11245951","cross_references":{"pubmed":["38604503"],"doi":["10.1016/j.mcpro.2024.100764"]}}