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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 5

Heterogeneity of T cell receptors in melanoma metastases and its comparison with expressed SNV and neoantigen load.

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Heterogeneity of T cell receptors in melanoma metastases and its compari...
Genomic DNA obtained from tumor tissue was utilized to perform deep sequencing of the TCRβ loci. TCR sequencing data were analyzed using the ImmunoSEQ v3.0 analyzer. Tumors were also analyzed by exome sequencing. (A) The differential abundance tool (ImmunoSEQ analyzer) was utilized to compare overlap of TCR sequences between individual lesions from the same patient. (B) Comparison of top clonotypes between two different metastatic sites in patients 1, 2, and 4 and three different metastatic sites in patient 3. (C) Deep sequencing was performed for the TCRβ locus on sorted TRM cells from three different metastatic lesions (S1, S2, S3) in patient 3. The unique TCRs (black bar) and TCRs shared (gray bar) with other sites for sorted TRM cells as well as unsorted bulk tumor T cells from the same metastatic sites are shown. (D) Comparison of expressed and predicted peptide-binding SNVs from multiple metastases in patients 1, 2, and 3. (E) Compiled data for the differential abundance of TCR sequences and overlap of these sequences with all expressed SNVs (left) and overlap with those SNVs predicted to lead to MHC-binding peptides for the 3 patients shown in D. Data for an individual patient. P values obtained using paired t test are shown for comparison between unique TCR sequences in a lesion and SNVs with predicted HLA-binding peptides for the same lesion.

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