Immune cell topography predicts response to PD-1 blockade in cutaneous T cell lymphoma Article Swipe
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· 2020
· Open Access
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· DOI: https://doi.org/10.1101/2020.12.06.20244913
Anti-PD-1 immunotherapies have transformed cancer treatment, yet the determinants of clinical response are largely unknown. We performed CODEX multiplexed tissue imaging and RNA sequencing on 70 tumor regions from 14 advanced cutaneous T cell lymphoma (CTCL) patients enrolled in a clinical trial of pembrolizumab therapy. Clinical response was not associated with the frequency of tumor-infiltrating T cell subsets, but rather with striking differences in the spatial organization and functional immune state of the tumor microenvironment (TME). After treatment, pembrolizumab responders had a localized enrichment of tumor and CD4 + T cells, which coincided with immune activation and cytotoxic PD-1 + CD4 + T cells. In contrast, non-responders had a localized enrichment of Tregs pre- and post-treatment, consistent with a persistently immunosuppressed TME and exhausted PD-1 + CD4 + T cells. Integrating these findings by computing the physical distances between PD-1 + CD4 + T cells, tumor cells, and Tregs revealed a spatial biomarker predictive of pembrolizumab response. Finally, the chemokine CXCL13 was upregulated in tumor cells in responders post-treatment, suggesting that chemoattraction of PD-1 + CD4 + T cells towards tumor cells facilitates a positive outcome. Together, these data show that T cell topography reflects the balance of effector and suppressive activity within the TME and predicts clinical response to PD-1 blockade in CTCL.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2020.12.06.20244913
- https://www.medrxiv.org/content/medrxiv/early/2020/12/08/2020.12.06.20244913.full.pdf
- OA Status
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- Cited By
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- References
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- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3110842356Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2020.12.06.20244913Digital Object Identifier
- Title
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Immune cell topography predicts response to PD-1 blockade in cutaneous T cell lymphomaWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-12-08Full publication date if available
- Authors
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Darci J. Phillips, Magdalena Matusiak, Belén Rivero‐Gutiérrez, Salil S. Bhate, Graham L. Barlow, Sizun Jiang, János 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, Garry P. NolanList of authors in order
- Landing page
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https://doi.org/10.1101/2020.12.06.20244913Publisher landing page
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https://www.medrxiv.org/content/medrxiv/early/2020/12/08/2020.12.06.20244913.full.pdfDirect link to full text PDF
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greenOpen access status per OpenAlex
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https://www.medrxiv.org/content/medrxiv/early/2020/12/08/2020.12.06.20244913.full.pdfDirect OA link when available
- Concepts
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Tumor microenvironment, Pembrolizumab, Immune system, Cytotoxic T cell, Immune checkpoint, T cell, Immunotherapy, Medicine, Cancer research, Immunology, Chemokine, Biology, In vitro, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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19Total citation count in OpenAlex
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2025: 1, 2024: 5, 2023: 8, 2022: 2, 2021: 3Per-year citation counts (last 5 years)
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95Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Clinical | 45 |
| abstract_inverted_index.Finally, | 157 |
| abstract_inverted_index.activity | 201 |
| abstract_inverted_index.advanced | 30 |
| abstract_inverted_index.blockade | 211 |
| abstract_inverted_index.clinical | 10, 40, 207 |
| abstract_inverted_index.effector | 198 |
| abstract_inverted_index.enrolled | 37 |
| abstract_inverted_index.findings | 132 |
| abstract_inverted_index.lymphoma | 34 |
| abstract_inverted_index.outcome. | 185 |
| abstract_inverted_index.patients | 36 |
| abstract_inverted_index.physical | 136 |
| abstract_inverted_index.positive | 184 |
| abstract_inverted_index.predicts | 206 |
| abstract_inverted_index.reflects | 194 |
| abstract_inverted_index.response | 11, 46, 208 |
| abstract_inverted_index.revealed | 149 |
| abstract_inverted_index.striking | 61 |
| abstract_inverted_index.subsets, | 57 |
| abstract_inverted_index.therapy. | 44 |
| abstract_inverted_index.unknown. | 14 |
| abstract_inverted_index.Anti-PD-1 | 0 |
| abstract_inverted_index.Together, | 186 |
| abstract_inverted_index.biomarker | 152 |
| abstract_inverted_index.chemokine | 159 |
| abstract_inverted_index.coincided | 92 |
| abstract_inverted_index.computing | 134 |
| abstract_inverted_index.contrast, | 105 |
| abstract_inverted_index.cutaneous | 31 |
| abstract_inverted_index.cytotoxic | 97 |
| abstract_inverted_index.distances | 137 |
| abstract_inverted_index.exhausted | 123 |
| abstract_inverted_index.frequency | 52 |
| abstract_inverted_index.localized | 82, 109 |
| abstract_inverted_index.performed | 16 |
| abstract_inverted_index.response. | 156 |
| abstract_inverted_index.activation | 95 |
| abstract_inverted_index.associated | 49 |
| abstract_inverted_index.consistent | 116 |
| abstract_inverted_index.enrichment | 83, 110 |
| abstract_inverted_index.functional | 68 |
| abstract_inverted_index.predictive | 153 |
| abstract_inverted_index.responders | 79, 167 |
| abstract_inverted_index.sequencing | 23 |
| abstract_inverted_index.suggesting | 169 |
| abstract_inverted_index.topography | 193 |
| abstract_inverted_index.treatment, | 5, 77 |
| abstract_inverted_index.Integrating | 130 |
| abstract_inverted_index.differences | 62 |
| abstract_inverted_index.facilitates | 182 |
| abstract_inverted_index.multiplexed | 18 |
| abstract_inverted_index.suppressive | 200 |
| abstract_inverted_index.transformed | 3 |
| abstract_inverted_index.upregulated | 162 |
| abstract_inverted_index.determinants | 8 |
| abstract_inverted_index.organization | 66 |
| abstract_inverted_index.persistently | 119 |
| abstract_inverted_index.pembrolizumab | 43, 78, 155 |
| abstract_inverted_index.non-responders | 106 |
| abstract_inverted_index.chemoattraction | 171 |
| abstract_inverted_index.immunotherapies | 1 |
| abstract_inverted_index.post-treatment, | 115, 168 |
| abstract_inverted_index.immunosuppressed | 120 |
| abstract_inverted_index.microenvironment | 74 |
| abstract_inverted_index.tumor-infiltrating | 54 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5033995613, https://openalex.org/A5019984620 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 18 |
| corresponding_institution_ids | https://openalex.org/I97018004 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8399999737739563 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.88254342 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |