Dataset Information

Multi-omic analysis of Esophageal Adenocarcinoma uncovers candidate therapeutic targets and cancer-selective post-transcriptional regulation

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 RNAseq and proteomic data from 7 patients and further integrated these data with a cohort of EAC RNA-seq data (n=264 patients), EAC whole-genome sequencing (n=454 patients) and external published datasets.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Esophagus Squamous Epithelium, Esophagus

DISEASE(S): Gastroesophageal Adenocarcinoma

SUBMITTER: Javier Alfaro

LAB HEAD: Javier Alfaro

PROVIDER: PXD042792 | Pride | 2024-08-10

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	2013_03_25_CAP_OT_61_HUP_PA60_F1.mzML	Mzml
	2013_03_25_CAP_OT_61_HUP_PA60_F1.mzid.gz	Mzid
	2013_03_25_CAP_OT_61_HUP_PA60_F1.raw	Raw
	2013_03_25_CAP_OT_62_HUP_PA60_F2.mzML	Mzml
	2013_03_25_CAP_OT_62_HUP_PA60_F2.mzid.gz	Mzid

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Publications

Multi-Omic Analysis of Esophageal Adenocarcinoma Uncovers Candidate Therapeutic Targets and Cancer-Selective Posttranscriptional Regulation.

O'Neill J Robert JR Yébenes Mayordomo Marcos M Mitulović Goran G Al Shboul Sofian S Bedran Georges G Faktor Jakub J Hernychova Lenka L Uhrik Lukas L Gómez-Herranz Maria M Kocikowski Mikołaj M Save Vicki V Vojtěšek Bořivoj B Arends Mark J MJ Hupp Ted T Alfaro Javier Antonio JA

Molecular & cellular proteomics : MCP 20240409 6

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 an ...[more]

PMID: 38604503

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