TY - JOUR
T1 - Comprehensive RNA dataset of tissue and plasma from patients with esophageal cancer or precursor lesions
AU - Schoofs, Kathleen
AU - Philippron, Annouck
AU - Avila Cobos, Francisco
AU - Koster, Jan
AU - Lefever, Steve
AU - Anckaert, Jasper
AU - De Looze, Danny
AU - Vandesompele, Jo
AU - Pattyn, Piet
AU - De Preter, Katleen
N1 - Funding Information: We gratefully acknowledge the support by the Ghent University supercomputing infrastructure HPC, Ghent University Special Research Fund (BOF) and Concerted Research Action (BOF-GOA), and Kom Op Tegen Kanker (Stand up to Cancer). Publisher Copyright: © 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - 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 esophagus. Per patient, a blood plasma sample, and a healthy and disease esophageal tissue sample were included. In total, this comprehensive dataset consists of 102 sequenced libraries from 51 samples. Based on this data, 119 expression profiles are available for three biotypes, including miRNA (51), mRNA (51) and circRNA (17). This unique resource allows for discovery of novel biomarkers and disease mechanisms, comparison of tissue and liquid biopsy profiles, integration of coding and non-coding RNA patterns, and can serve as a validation dataset in other RNA landscaping studies. Moreover, structural RNA differences can be identified in this dataset, including protein coding mutations, fusion genes, and circular RNAs.
AB - 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 esophagus. Per patient, a blood plasma sample, and a healthy and disease esophageal tissue sample were included. In total, this comprehensive dataset consists of 102 sequenced libraries from 51 samples. Based on this data, 119 expression profiles are available for three biotypes, including miRNA (51), mRNA (51) and circRNA (17). This unique resource allows for discovery of novel biomarkers and disease mechanisms, comparison of tissue and liquid biopsy profiles, integration of coding and non-coding RNA patterns, and can serve as a validation dataset in other RNA landscaping studies. Moreover, structural RNA differences can be identified in this dataset, including protein coding mutations, fusion genes, and circular RNAs.
UR - http://www.scopus.com/inward/record.url?scp=85126549450&partnerID=8YFLogxK
U2 - https://doi.org/10.1038/s41597-022-01176-x
DO - https://doi.org/10.1038/s41597-022-01176-x
M3 - Article
C2 - 35288573
SN - 2052-4463
VL - 9
JO - Scientific Data
JF - Scientific Data
IS - 1
M1 - 86
ER -