Definition of a multi-omics signature for Esophageal Adenocarcinoma prognosis prediction
Esophageal cancer, a highly lethal tumor, contributes to 5% of all cancer deaths, with its primary subtypes being esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC). While most studies focus on ESCC, this study investigates EAC using single-cell RNA se-quencing (scRNA-seq) to analyze CD45+ immune cells from tumors and matched non-tumor tis-sues in therapy-naive patients. By examining the transcriptional profiles of these immune cells and the entire transcriptome in a cohort of 23 patients, the study identifies distinct transcriptional sig-natures. These signatures were used to stratify a large cohort of TCGA EAC patients, revealing strong associations with prognosis and clinical outcomes. The findings suggest that these tran-scriptional profiles can improve prognosis accuracy post-surgery and potentially guide effective therapies, including immunotherapy, for EAC patients.