Quantitative Spatial Profiling of PD-1/PD-L1 Interaction and HLA-DR/IDO-1 Predicts Improved Outcomes of Anti-PD-1 Therapies in Metastatic Melanoma.
retrospective_cohort · Level III
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- Also identified by DOI 10.1158/1078-0432.CCR-18-0309 and PMC identifier 6214750.
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Abstract
<b>Purpose:</b> PD-1/L1 axis-directed therapies produce clinical responses in a subset of patients; therefore, biomarkers of response are needed. We hypothesized that quantifying key immunosuppression mechanisms within the tumor microenvironment by multiparameter algorithms would identify strong predictors of anti-PD-1 response.<b>Experimental Design:</b> Pretreatment tumor biopsies from 166 patients treated with anti-PD-1 across 10 academic cancer centers were fluorescently stained with multiple markers in discovery (<i>n</i> = 24) and validation (<i>n</i> = 142) cohorts. Biomarker-positive cells and their colocalization were spatially profiled in pathologist-selected tumor regions using novel Automated Quantitative Analysis algorithms. Selected biomarker signatures, PD-1/PD-L1 interaction score, and IDO-1/HLA-DR coexpression were evaluated for anti-PD-1 treatment outcomes.<b>Results:</b> In the discovery cohort, PD-1/PD-L1 interaction score and/or IDO-1/HLA-DR coexpression was strongly associated with anti-PD-1 response (<i>P</i> = 0.0005). In contrast, individual biomarkers (PD-1, PD-L1, IDO-1, HLA-DR) were not associated with response or survival. This finding was replicated in an independent validation cohort: patients with high PD-1/PD-L1 and/or IDO-1/HLA-DR were more likely to respond (<i>P</i> = 0.0096). These patients also experienced significantly improved progression-free survival (HR = 0.36; <i>P</i> = 0.0004) and overall survival (HR = 0.39; <i>P</i> = 0.0011). In the combined cohort, 80% of patients exhibiting higher levels of PD-1/PD-L1 interaction scores and IDO-1/HLA-DR responded to PD-1 blockers (<i>P</i> = 0.000004). In contrast, PD-L1 expression was not predictive of survival.<b>Conclusions:</b> Quantitative spatial profiling of key tumor-immune suppression pathways by novel digital pathology algorithms could help more reliably select melanoma patients for PD-1 monotherapy. <i>Clin Cancer Res; 24(21); 5250-60. ©2018 AACR</i>.
Medical subject headings
- B7-H1 Antigen
- HLA-DR Antigens
- Indoleamine-Pyrrole 2,3,-Dioxygenase
- Melanoma
- Programmed Cell Death 1 Receptor