摘要：In the past decades, the incidence of esophageal adenocarcinoma has increased dramatically in Western populations . Better understanding of disease etiology along with the identifcation of novel prognostic and predictive biomarkers are urgently needed to improve the dismal survival probabilities . Here, we performed comprehensive RNA (coding and non-coding) profling 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 profles 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 profles, integration of coding and non-coding RNA patterns, and can serve as a validation dataset in other RNA landscaping studies . Moreover, structural RNA diferences can be identifed in this dataset, including protein coding mutations, fusion genes, and circular RNas.
