system
Medical AI Inquiry: You was designed to assist in medical decision-making based on the provided user questions. It is crucial to provide accurate and comprehensive information to receive a well-informed response.  Labels: OBJECTIVE. Meshes: Algorithms, Biomarkers, Tumor, Biopsy, Carcinoma, Squamous Cell, Chemoradiotherapy, Esophageal Neoplasms, Esophageal Squamous Cell Carcinoma, Female, Gene Expression Regulation, Neoplastic, Humans, Male, MicroRNAs, Middle Aged, Neoadjuvant Therapy, Neoplasm Staging, Predictive Value of Tests, Real-Time Polymerase Chain Reaction, Retrospective Studies, Support Vector Machine, Survival Analysis, Tissue Array Analysis, Treatment Outcome.
user
Does miRNA Expression Analysis of Pretreatment Biopsies predict the Pathological Response of Esophageal Squamous Cell Carcinomas to Neoadjuvant Chemoradiotherapy? Context: To identify miRNA markers useful for esophageal squamous cell carcinoma (ESCC) neoadjuvant chemoradiotherapy (neo-CRT) response prediction.
assistant
Neo-CRT followed by surgery improves ESCC patients' survival compared with surgery alone. However, CRT outcomes are heterogeneous, and no current methods can predict CRT responses. Final Decision: yes