Predicting Outcomes in Esophageal Squamous Cell Carcinoma Using scRNA-Seq and Bulk RNA-Seq: A Model Development and Validation Study.

ABSTRACT:

Background

Altered glucose metabolism is a critical characteristic from the beginning stage of esophageal squamous cell carcinoma (ESCC), and the phenomenon is presented as a pink-color sign under endoscopy after iodine staining. Therefore, calculating the metabolic score based on the glucose metabolic gene sets may bring some novel insights, enabling the prediction of prognosis and the identification of treatment choices for ESCC.

Methods

A total of 8, 99, and 140 individuals from The Gene Expression Omnibus database, The Cancer Genome Atlas database, and the Memorial Sloan Kettering Cancer Center, respectively, were encompassed in the investigation. Patients diagnosed with ESCC after surgery were enrolled for further validation.

Results

A total of 13 kinds of cell c

SUBMITTER: Zhang J 

PROVIDER: S-EPMC11751878 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature