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Interlesional diversity of T cell receptors in melanoma with immune checkpoints enriched in tissue-resident memory T cells
Chandra Sekhar Boddupalli, Noffar Bar, Krishna Kadaveru, Michael Krauthammer, Natopol Pornputtapong, Zifeng Mai, Stephan Ariyan, Deepak Narayan, Harriet Kluger, Yanhong Deng, Rakesh Verma, Rituparna Das, Antonella Bacchiocchi, Ruth Halaban, Mario Sznol, Madhav V. Dhodapkar, Kavita M. Dhodapkar
Chandra Sekhar Boddupalli, Noffar Bar, Krishna Kadaveru, Michael Krauthammer, Natopol Pornputtapong, Zifeng Mai, Stephan Ariyan, Deepak Narayan, Harriet Kluger, Yanhong Deng, Rakesh Verma, Rituparna Das, Antonella Bacchiocchi, Ruth Halaban, Mario Sznol, Madhav V. Dhodapkar, Kavita M. Dhodapkar
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Research Article Oncology

Interlesional diversity of T cell receptors in melanoma with immune checkpoints enriched in tissue-resident memory T cells

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Abstract

Heterogeneity of tumor cells and their microenvironment can affect outcome in cancer. Blockade of immune checkpoints (ICPs) expressed only on a subset of immune cells leads to durable responses in advanced melanoma. Tissue-resident memory T (TRM) cells have recently emerged as a distinct subset of memory T cells in nonlymphoid tissues. Here, we show that functional properties and expression of ICPs within tumor-infiltrating lymphocytes (TILs) differ from those of blood T cells. TILs secrete less IL-2, IFN-γ, and TNF-α compared with circulating counterparts, and expression of VEGF correlated with reduced TIL infiltration. Within tumors, ICPs are particularly enriched within T cells with phenotype and genomic features of TRM cells and the CD16+ subset of myeloid cells. Concurrent T cell receptor (TCR) and tumor exome sequencing of individual metastases in the same patient revealed that interlesional diversity of TCRs exceeded differences in mutation/neoantigen load in tumor cells. These findings suggest that the TRM subset of TILs may be the major target of ICP blockade and illustrate interlesional diversity of tissue-resident TCRs within individual metastases, which did not equilibrate between metastases and may differentially affect the outcome of immune therapy at each site.

Authors

Chandra Sekhar Boddupalli, Noffar Bar, Krishna Kadaveru, Michael Krauthammer, Natopol Pornputtapong, Zifeng Mai, Stephan Ariyan, Deepak Narayan, Harriet Kluger, Yanhong Deng, Rakesh Verma, Rituparna Das, Antonella Bacchiocchi, Ruth Halaban, Mario Sznol, Madhav V. Dhodapkar, Kavita M. Dhodapkar

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Figure 3

Expression of inhibitory checkpoints on tumor-infiltrating immune cells.

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Expression of inhibitory checkpoints on tumor-infiltrating immune cells....
(A) Heatmap showing expression of immune checkpoint proteins PD-1, TIM3, BTLA, and PD-L1 on TRM and non-TRM cells within the tumor of a representative patient. (B) The expression of immune checkpoint proteins PD-1, TIM3, BTLA, and PD-L1 on TRM and non-TRM cells within the tumor. The graph shows data from 10 patients. (C) The expression of PD-1, TIM3, BTLA, and PD-L1 immune checkpoint proteins on CD103–CD8 TRM as well as CD103+CD8 TRM cells. The graph shows data from 10 patients. (D) Single-cell mass cytometry was performed to simultaneously examine multiple checkpoint proteins (PD-1, PD-L1, and TIM3) on freshly isolated cells. A mean percentage of TRM cells that express none, one, two, or three checkpoint proteins on their surface is shown. Left panel: CD8+ TRM cells. Right panel: CD4+ TRM cells. (E) Heatmap showing expression of PD-L1, TIM3, B7H3, and BTLA on CD14+CD16– as well as CD14+CD16+ monocytes within tumor tissue. (F) Data for expression of PD-L1, TIM3, BTLA, and B7H3 on CD16+ and CD16– myeloid cells from 10 different patients. All bar graph data represent mean and SEM. *P < 0.05, **P < 0.005, ***P < 0.0005 (paired t test followed by multiple test correction using Hochberg sequential test).

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