British Journal of Cancer · 2024 · 27 citations · 28 references
Life SciencesImmunologyOncologyCancer ImmunologyClinical ImmunologyImmunotherapyCancer ImmunotherapyCheckpoint Inhibitor TherapyImmune Checkpoint InhibitorsImmune Checkpoint RegulationImmune CheckpointsImmuno-oncology BiomarkersImmune Biomarkers In CancerImmune Checkpoint BiomarkersImmune Checkpoint Inhibitor BiomarkersImmune Checkpoint Inhibitor TherapyImmunoassay MethodologyPeripheral Blood Immune BiomarkersPredictive BiomarkersPredictive Marker Assessment
Abstract Background The search for biomarkers to identify suitable candidates for immune checkpoint inhibitor (ICI) therapy remains ongoing. We evaluate how soluble levels of the next generation immune checkpoint Lymphocyte Activation Gene-3 (sLAG-3) and its association with circulating T lymphocyte subsets could pose as a novel biomarker to predict outcome to ICI therapy. Methods Circulating levels of sLAG3 were analyzed using multiplex immunoassay in n = 84 patients undergoing ICI therapy for advanced solid cancer, accompanied by flow cytometry analyses of peripheral blood mononuclear cells (PBMCs). Results Uni- and multivariate analysis shows that patients with higher sLAG3 concentrations before ICI therapy had a significantly impaired progression-free (PFS) and overall survival (OS) (HR PFS : 1.005 [95%CI: 1.000–1.009], p = 0.039; HR OS : 1.006 [95%CI: 1.001–1.011], p = 0.015). The CD4/CD8 cell ratio and its dynamics during therapy were strong predictors of PFS and OS with patients with a decreasing ratio between baseline and after 1–2 cycles having an improved median OS compared to patients with increasing values ( p = 0.012, HR: 3.32). An immunological score combining sLAG3 and the CD4/CD8 ratio showed the highest predictive potential (HR OS : 10.3). Conclusion Pending prospective validation, sLAG3 and correlating circulating T-cell subsets can be used as a non-invasive predictive marker to predict outcome to ICI therapy to help identifying ideal ICI candidates in the future.
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