Identification and Validation of cGAS-STING Pathway-Associated Predictive and Therapeutic Models for Esophageal Squamous Cell Cancer Patients via Artificial Intelligence and Multi-Omics. | Synapse
February 26, 2026
Identification and Validation of cGAS-STING Pathway-Associated Predictive and Therapeutic Models for Esophageal Squamous Cell Cancer Patients via Artificial Intelligence and Multi-Omics.
Key Points
This research aims to establish predictive and therapeutic models associated with the cGAS-STING pathway for esophageal squamous cell cancer (ESCC) patients.
Utilized artificial intelligence and multi-omics approaches
Analyzed data to identify predictive models
Evaluated therapeutic implications for ESCC patients
Developed models enable risk stratification for ESCC patients
Highlights the cGAS-STING pathway as a potential therapeutic target
Enhances understanding of precision and personalized medicine for ESCC patients
Abstract
cGAS-STING pathway can guide risk stratification and can be considered as a therapeutic target for ESCC patients, which provides novel insights into precision and personalized medicine for ESCC patients.