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Definition of a multi-omics signature for Esophageal Adenocarcinoma prognosis prediction [scRNA-seq]

GSE273847 Homo sapiens Expression profiling by high throughput sequencing 5 samples Submitted 2024/08/02 Platform GPL21697
Summary
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 sequencing (scRNA-seq) to analyze CD45+ immune cells from tumors and matched non-tumor tissues in therapy-naïve 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 signatures. 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 transcriptional profiles can improve prognosis accuracy post-surgery and potentially guide effective therapies, including immunotherapy, for EAC patients.
Published in
Definition of a Multi-Omics Signature for Esophageal Adenocarcinoma Prognosis Prediction
Lambroia L, Conca Dioguardi CM, Puccio S et al. · Cancers 2024 · PMID 39123475 · doi:10.3390/cancers16152748
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Direct links to NCBI, no account and no request form: the whole study as GSE273847_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 5 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1141373 and SRA study SRP523894. Searching any of these in the dataset finder brings you back here.

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