4.7 Article

Density, Distribution, and Composition of Immune Infiltrates Correlate with Survival in Merkel Cell Carcinoma

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CLINICAL CANCER RESEARCH
卷 22, 期 22, 页码 5553-5563

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AMER ASSOC CANCER RESEARCH
DOI: 10.1158/1078-0432.CCR-16-0392

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  1. Swiss Cancer Research Foundation [BIL KFS-3344-02-2014]

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Purpose: Merkel cell carcinoma (MCC) is an aggressive cancer with frequent metastasis and death with few effective therapies. Because programmed death ligand-1 (PD-L1) is frequently expressed in MCC, immune checkpoint blockade has been leveraged as treatment for metastatic disease. There is therefore a critical need to understand the relationships between MCPyV status, immune profiles, and patient outcomes. Experimental Design: IHC for CD3, CD8, PD-1, PD-L1, and MCPyV T-antigen (to determine MCPyV status) was performed on 62 primary MCCs with annotated clinical outcomes. Automated image analysis quantified immune cell density (positive cells/mm(2)) at discrete geographic locations (tumor periphery, center, and hotspot). T-cell receptor sequencing (TCRseq) was performed in a subset of MCCs. Results: No histopathologic variable associated with overall survival (OS) or disease-specific survival (DSS), whereas higher CD3(+) (P = 0.004) and CD8(+) (P = 0.037) T-cell density at the tumor periphery associated with improved OS. Higher CD8(+) T-cell density at the tumor periphery associated with improved DSS (P = 0.049). Stratifying MCCs according to MCPyV status, higher CD3(+) (P = 0.026) and CD8(+) (P = 0.015) T-cell density at the tumor periphery associated with improved OS for MCPyV+ but not MCPyV+ MCC. TCRseq revealed clonal overlap among MCPyV+ samples, suggesting an antigen-specific response against a unifying antigen. Conclusions: These findings establish the tumor-associated immune infiltrate at the tumor periphery as a robust prognostic indicator in MCC and provide a mechanistic rationale to further examine whether the immune infiltrate at the tumor periphery is relevant as a biomarker for response in ongoing and future checkpoint inhibitor trials in MCC. (C)2016 AACR.

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