Peripheral Blood Biomarkers Predict Outcomes in Advanced Cancers Treated With Anti-PD-1 Therapy.
PD-1 inhibitors are increasingly used in advanced cancers, but reliable biomarkers for predicting treatment response remain limited.
In this retrospective cohort study, we analyzed 335 patients with stage IV cancers treated with anti-PD-1 therapy (The First People's Hospital of Kunshan, 2019-2025). A predictive model integrating peripheral blood markers and clinical factors was developed using logistic and Cox regression.
Histologic subtype, dNLR ≤ 3.18, AMC ≤ 0.48, and IL-6 ≤ 12.35 were independent prognostic factors for OS and PFS (multivariate HRs reported). Patients with ≥ 3 favorable factors had significantly better outcomes. The model showed high accuracy for 1-year survival prediction (AUC = 0.83) but limited performance beyond 3 years.
This study proposes a clinically feasible biomarker-based tool to stratify PD-1 inhibitor responders, though further validation in prospective cohorts is needed.
In this retrospective cohort study, we analyzed 335 patients with stage IV cancers treated with anti-PD-1 therapy (The First People's Hospital of Kunshan, 2019-2025). A predictive model integrating peripheral blood markers and clinical factors was developed using logistic and Cox regression.
Histologic subtype, dNLR ≤ 3.18, AMC ≤ 0.48, and IL-6 ≤ 12.35 were independent prognostic factors for OS and PFS (multivariate HRs reported). Patients with ≥ 3 favorable factors had significantly better outcomes. The model showed high accuracy for 1-year survival prediction (AUC = 0.83) but limited performance beyond 3 years.
This study proposes a clinically feasible biomarker-based tool to stratify PD-1 inhibitor responders, though further validation in prospective cohorts is needed.