Unknown

Dataset Information

Transcriptomics based multi-dimensional characterization and drug screen in esophageal squamous cell carcinoma.


ABSTRACT:

Background

Esophageal squamous cell carcinoma (ESCC) remains one of the deadly cancer types. Comprehensively dissecting the molecular characterization and the heterogeneity of ESCC paves the way for developing more promising therapeutics.

Methods

Expression profiles of multiple ESCC datasets were integrated. ATAC-seq and RNA-seq were combined to reveal the chromatin accessibility features. A prognosis-related subtype classifier (PrSC) was constructed, and its association with the tumor microenvironment (TME) and immunotherapy was assessed. The key gene signature was validated in clinical samples. Based on the TME heterogeneity of ESCC patients, potential subtype-specific therapeutic agents were screened.

Findings

The common differentially expressed genes (cDEGs) in ES

SUBMITTER: Li Y 

PROVIDER: S-EPMC8353400 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature