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A Novel Autophagy-Related Long Non-Coding RNA Signature to Predict Prognosis and Therapeutic Response in Esophageal Squamous Cell Carcinoma
A New Autophagy-Related RNA Pattern to Predict Outcomes and Treatment Response in Esophageal Cancer
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Abstract
An -related lncRNA signature was identified in 179 patients with esophageal squamous cell carcinoma (ESCC).
- The low-risk group of patients exhibited significantly better prognosis compared to the high-risk group (-value <0.001).
- The model's reliability was confirmed through Brier score and ROC analysis.
- Gene set enrichment analysis revealed significant enrichment of cancer- and autophagy-related pathways in the high-risk group.
- Metabolism-related pathways were notably enriched in the low-risk group.
- Correlation analysis indicated that the model may effectively predict responses to immunotherapy and chemotherapy.
- Approximately 35.41% (74/209) of ferroptosis-related genes showed significant correlation with risk scores.
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Key numbers
0.755
Prognostic Model Accuracy (1-year OS)
AUC value for the original dataset's one-year survival rate.
0.772
Prognostic Model Accuracy (3-year OS)
AUC value for the original dataset's three-year survival rate.
0.796
Prognostic Model Accuracy (5-year OS)
AUC value for the original dataset's five-year survival rate.