Integrated Analysis of Single-cell and Bulk RNA-Sequencing Identifies a Signature Based on Cancer-related Fibroblast Marker Genes to Predict Prognosis and Therapy Response in Lung Adenocarcinoma
Integrated analysis reveals a prognostic signature that predicts treatment response in lung adenocarcinoma patients, suggesting CAF role in tumor microenvironment.
Key Points
A novel prognostic signature was developed based on cancer-related fibroblast markers, enhancing prognosis prediction in patients.
The study included 716 lung adenocarcinoma patients and identified 227 cancer-related fibroblast marker genes from RNA sequencing.
Comprehensive analysis methods included single-cell RNA sequencing data and validations using quantitative real-time PCR.
High-risk patients showed immunosuppression and increased sensitivity to first-line chemotherapeutic drugs according to immune profile analysis.