A microRNA Signature Identifies Patients at Risk of Barrett Esophagus Progression to Dysplasia and Cancer
| Autor: | Jose M. Pimiento, Kun Jiang, Anthony M. Magliocco, Kevin G Neill, Domenico Coppola, James Saller, Yin Xiong, Luis Pena, F. Scott Corbett, Sean J. Yoder |
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| Rok vydání: | 2021 |
| Předmět: |
Male
Oncology medicine.medical_specialty Esophageal Neoplasms Physiology Adenocarcinoma Article Barrett Esophagus 03 medical and health sciences 0302 clinical medicine Internal medicine microRNA Biopsy Carcinoma medicine Humans Esophagus Aged Aged 80 and over medicine.diagnostic_test business.industry Gastroenterology Cancer Intestinal metaplasia Middle Aged Prognosis medicine.disease MicroRNAs medicine.anatomical_structure Dysplasia 030220 oncology & carcinogenesis Barrett's esophagus Disease Progression Female 030211 gastroenterology & hepatology Transcriptome business |
| Zdroj: | Dig Dis Sci |
| ISSN: | 1573-2568 0163-2116 |
| DOI: | 10.1007/s10620-021-06863-0 |
| Popis: | BACKGROUND: Progression of Barrett esophagus (BE) to esophageal adenocarcinoma occurs among a minority of BE patients. To date, BE behavior cannot be predicted on the basis of histologic features. AIMS: We compared BE samples that did not develop dysplasia or carcinoma upon follow-up of ≥ 7 years (BE nonprogressed [BEN]) with BE samples that developed carcinoma upon follow-up of 3 to 4 years (BE progressed [BEP]). METHODS: The NanoString nCounter miRNA assay was used to profile 24 biopsy samples of BE, including 13 BENs and 11 BEPs. Fifteen samples were randomly selected for miRNA prediction model training; nine were randomly selected for miRNA validation. RESULTS: Unpaired t tests with Welch’s correction were performed on 800 measured miRNAs to identify the most differentially expressed miRNAs for cases of BEN and BEP. The top 12 miRNAs (P < .003) were selected for principal component analyses: miR-1278, miR-1301, miR-1304–5p, miR-517b-3p, miR-584–5p, miR-599, miR-103a-3p, miR-1197, miR-1256, miR-509–3–5p, miR-544b, miR-802. The 12-miRNA signature was first self-validated on the training dataset, resulting in 7 out of the 7 BEP samples being classified as BEP (100% sensitivity) and 7 out of the 8 BEN samples being classified as BEN (87.5% specificity). Upon validation, 4 out of the 4 BEP samples were classified as BEP (100% sensitivity) and 4 out of the 5 BEN samples were classified as BEN (80% specificity). Twenty-four samples were evaluated, and 22 cases were correctly classified. Overall accuracy was 91.67%. CONCLUSION: Using miRNA profiling, we have identified a 12-miRNA signature able to reliably differentiate cases of BEN from BEP. |
| Databáze: | OpenAIRE |
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