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

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  • Darci Phillips

    (Stanford University School of Medicine
    Stanford University School of Medicine
    Stanford University School of Medicine)

  • Magdalena Matusiak

    (Stanford University School of Medicine)

  • Belén Rivero Gutierrez

    (Stanford University School of Medicine)

  • Salil S. Bhate

    (Stanford University School of Medicine
    Stanford University School of Medicine
    Stanford University Schools of Engineering and Medicine)

  • Graham L. Barlow

    (Stanford University School of Medicine
    Stanford University School of Medicine)

  • Sizun Jiang

    (Stanford University School of Medicine
    Stanford University School of Medicine
    Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School)

  • Janos Demeter

    (Stanford University School of Medicine)

  • Kimberly S. Smythe

    (Cancer Immunotherapy Trials Network, Fred Hutchinson Cancer Research Center)

  • Robert H. Pierce

    (Cancer Immunotherapy Trials Network, Fred Hutchinson Cancer Research Center)

  • Steven P. Fling

    (Cancer Immunotherapy Trials Network, Fred Hutchinson Cancer Research Center)

  • Nirasha Ramchurren

    (Cancer Immunotherapy Trials Network, Fred Hutchinson Cancer Research Center)

  • Martin A. Cheever

    (Cancer Immunotherapy Trials Network, Fred Hutchinson Cancer Research Center)

  • Yury Goltsev

    (Stanford University School of Medicine
    Stanford University School of Medicine)

  • Robert B. West

    (Stanford University School of Medicine)

  • Michael S. Khodadoust

    (Stanford University School of Medicine)

  • Youn H. Kim

    (Stanford University School of Medicine
    Stanford University School of Medicine)

  • Christian M. Schürch

    (Stanford University School of Medicine
    Stanford University School of Medicine
    University Hospital and Comprehensive Cancer Center Tübingen)

  • Garry P. Nolan

    (Stanford University School of Medicine
    Stanford University School of Medicine)

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.

Suggested Citation

  • 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 Ramch, 2021. "Immune cell topography predicts response to PD-1 blockade in cutaneous T cell lymphoma," Nature Communications, Nature, vol. 12(1), pages 1-18, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-26974-6
    DOI: 10.1038/s41467-021-26974-6
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    2. Yunhao Bai & Bokai Zhu & John-Paul Oliveria & Bryan J. Cannon & Dorien Feyaerts & Marc Bosse & Kausalia Vijayaragavan & Noah F. Greenwald & Darci Phillips & Christian M. Schürch & Samuel M. Naik & Edw, 2023. "Expanded vacuum-stable gels for multiplexed high-resolution spatial histopathology," Nature Communications, Nature, vol. 14(1), pages 1-18, December.

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