1. A microRNA Signature Identifies Patients at Risk of Barrett Esophagus Progression to Dysplasia and Cancer
- Author
-
Jose M. Pimiento, Kun Jiang, Anthony M. Magliocco, Kevin G Neill, Domenico Coppola, James Saller, Yin Xiong, Luis Pena, F. Scott Corbett, and Sean J. Yoder
- Subjects
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 - Abstract
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.
- Published
- 2021
- Full Text
- View/download PDF