A novel risk model using stress granule-related gene signatures (sgrgs) shows promise for improving prognostic accuracy in pancreatic ductal adenocarcinoma (PDAC).

• Four key sgrgs (lama3, itga6, col17a1, top2a) were identified as significant predictors of PDAC prognosis.
• A nomogram combining age, N stage, and risk score demonstrated strong predictive capacity.

Understanding these markers can enhance patient selection for targeted therapies and improve outcomes in PDAC management.

• Immune profiling revealed links to M0 macrophages and CD8 T cells, which may inform treatment strategies.