Unknown,Transcriptomics,Genomics,Proteomics

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Processed small RNA sequencing data of healthy and disease tissue samples from patients with esophageal adenocarcinoma or precursor lesions

ABSTRACT: In the past decades, the incidence of esophageal adenocarcinoma has increased dramatically in Western populations. Better understanding of disease etiology along with the identification of novel prognostic and predictive biomarkers are urgently needed to improve the dismal survival probabilities. Here, we performed comprehensive RNA (both coding and non-coding) profiling in various samples from 17 patients diagnosed with esophageal adenocarcinoma, high-grade dysplastic or non-dysplastic Barrett’s esophagus. Per patient, a blood plasma sample, and a healthy esophageal and disease tissue sample were included. In total, this comprehensive dataset consists of 102 RNA-seq libraries from 51 samples. The raw data for this study have been deposited to the controlled access archive EGA under submission EGAS00001004939.

INSTRUMENT(S): NextSeq 500

ORGANISM(S): Homo sapiens

SUBMITTER: Katleen De Preter 

PROVIDER: E-MTAB-10003 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Comprehensive RNA dataset of tissue and plasma from patients with esophageal cancer or precursor lesions.

Schoofs Kathleen K   Philippron Annouck A   Avila Cobos Francisco F   Koster Jan J   Lefever Steve S   Anckaert Jasper J   De Looze Danny D   Vandesompele Jo J   Pattyn Piet P   De Preter Katleen K  

Scientific data 20220314 1

In the past decades, the incidence of esophageal adenocarcinoma has increased dramatically in Western populations. Better understanding of disease etiology along with the identification of novel prognostic and predictive biomarkers are urgently needed to improve the dismal survival probabilities. Here, we performed comprehensive RNA (coding and non-coding) profiling in various samples from 17 patients diagnosed with esophageal adenocarcinoma, high-grade dysplastic or non-dysplastic Barrett's eso  ...[more]

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