ReviewFrontiers in pharmacology2026
Resistance mechanisms and reversal strategies of PD-1/PD-L1 inhibitors in melanoma.
Review in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
4 authors.
Funding
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Abstract
Programmed cell death protein 1 (PD-1)/programmed death ligand 1 (PD-L1) immune checkpoint inhibitors have redefined the therapeutic landscape of advanced melanoma, establishing a first-line standard of care that markedly prolongs patient survival. Nevertheless, primary and acquired resistance remain the principal barriers to durable clinical benefit: approximately 40%-55% of patients exhibit primary resistance to PD-1 monotherapy inhibitors, while 25%-30% of initial responders develop acquired resistance during treatment. Resistance arises from multidimensional, interconnected mechanisms spanning tumor-intrinsic alterations, immunosuppressive tumor microenvironment remodeling, metabolic and epigenetic reprogramming, and systemic modulators including the gut microbiota. By linking antigen recognition, spatiotemporal regulation, and clinical translation, this review provides a mechanistic framework for understanding PD-1/PD-L1 inhibitor resistance in melanoma. This review aimed to systematically evaluate the evidentiary basis for resistance-reversal strategies-encompassing immune combinations, targeted agents, cellular therapies, and localized interventions-and consolidate hierarchical biomarker systems with translational potential. Critical gaps in clinical applicability, including patient selection, treatment sequencing, and combination-related toxicity, are discussed. Finally, the review highlights unresolved challenges and future directions to guide precision optimization of melanoma immunotherapy.
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