Immune cell topography predicts response to PD-1 blockade in cutaneous T cell lymphoma

免疫细胞拓扑结构可预测皮肤 T 细胞淋巴瘤对 PD-1 阻断的反应

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作者:Darci Phillips #, Magdalena Matusiak #, Belén Rivero Gutierrez, Salil S Bhate, Graham L Barlow, Sizun Jiang, Janos Demeter, Kimberly S Smythe, Robert H Pierce, Steven P Fling, Nirasha Ramchurren, Martin A Cheever, Yury Goltsev, Robert B West, Michael S Khodadoust, Youn H Kim, Christian M Schürch, Ga

Abstract

Cutaneous T cell lymphomas (CTCL) are rare but aggressive cancers without effective treatments. While a subset of patients derive benefit from PD-1 blockade, there is a critically unmet need for predictive biomarkers of response. Herein, we perform CODEX multiplexed tissue imaging and RNA sequencing on 70 tumor regions from 14 advanced CTCL patients enrolled in a pembrolizumab clinical trial (NCT02243579). We find no differences in the frequencies of immune or tumor cells between responders and non-responders. Instead, we identify topographical differences between effector PD-1+ CD4+ T cells, tumor cells, and immunosuppressive Tregs, from which we derive a spatial biomarker, termed the SpatialScore, that correlates strongly with pembrolizumab response in CTCL. The SpatialScore coincides with differences in the functional immune state of the tumor microenvironment, T cell function, and tumor cell-specific chemokine recruitment and is validated using a simplified, clinically accessible tissue imaging platform. Collectively, these results provide a paradigm for investigating the spatial balance of effector and suppressive T cell activity and broadly leveraging this biomarker approach to inform the clinical use of immunotherapies.

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