ArticleImmunity, inflammation and disease2026
Peripheral Blood Biomarkers Predict Outcomes in Advanced Cancers Treated With Anti-PD-1 Therapy.
Article in Immunity, inflammation and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectivePD-1 inhibitors are increasingly used in advanced cancers, but reliable biomarkers for predicting treatment response remain limited.
methodsIn 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.
resultsHistologic 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.
conclusionThis study proposes a clinically feasible biomarker-based tool to stratify PD-1 inhibitor responders, though further validation in prospective cohorts is needed.
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