ArticleOncoTargets and therapy2026
Tumor Genomic Profiles Associated with Clinical Benefit from Immune Checkpoint Inhibitor Therapy - An Exploratory Analysis of the INFINITY Precision Oncology Registry.
Article in OncoTargets and therapy, 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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21 authors.
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Abstract
Background and Purpose: The multicenter precision oncology registry INFINITY investigated biomarker-driven therapy and outcomes in patients with advanced malignancies not eligible for standard therapy in routine clinical care in Germany. Although programmed cell death (ligand) 1 (PD-(L)1) antibodies have changed the treatment landscape of several malignancies and PD-(L)1 expression level is predictive and therefore often used for treatment selection, existing predictive biomarkers are insufficient to identify patients who will benefit from PD-(L)1 inhibitor-based therapy. This project aimed to identify genomic tumor profiles predicting benefit from anti-PD-(L)1 therapy. Patients and Methods: Patients from the INFINITY registry treated with anti-PD-(L)1 monotherapy were stratified into two cohorts using a case-control design: clinical benefit (treatment duration >182 days) and no clinical benefit (treatment duration 22-63 days). Tumor tissue samples from the virtual biobank were requested from local pathologies and sent to the central pathology for next‑generation sequencing (NGS) using the Oncomine Results: Of the 26 patients with clinical benefit and 24 patients without clinical benefit, NGS-based genetic tumor profiles were available for 11 and 8 patients, respectively. Only patients with clinical benefit from anti-PD-(L)1 therapy showed genetic alterations in Conclusion: Our analysis revealed a set of three genes (
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