bioRxivCancer Biology
Microenvironmental correlates of immune checkpoint inhibitor response in human melanoma brain metastases revealed by T cell receptor and single-cell RNA sequencing
C. A. Alvarez-Breckenridge, S. C. Markson, J. H. Stocking, N. Nayyar, M. Lastrapes, M. R. Strickland, A. E. Kim, M. de Sauvage, A. Dahal, J. M. Larson, J. L. Mora, A. W. Navia, B. M. Kuter, C. M. Gill, M. S. Bertalan, B. Shaw, A. Kaplan, M. Subramanian, A. Jain, H. Danish, S. Kumar, M. White, O. Shahid, K. E. Pauken, B. C. Miller, , Bra
Abstract
Melanoma-derived brain metastases (MBM) represent an unmet clinical need due to central nervous system (CNS) progression as a frequent, end-stage site of disease. Immune checkpoint inhibition (ICI) represents a clinical opportunity against MBM; however, the MBM tumor microenvironment (TME) has not been fully elucidated in the context of ICI. To dissect unique MBM-TME elements and correlates of MBM-ICI response, we collected 32 fresh MBM and performed single cell RNA sequencing of the MBM-TME and T cell receptor clonotyping on T cells from MBM and matched blood and extracranial lesions. We observed myeloid phenotypic heterogeneity, most notably multiple distinct neutrophil states including an IL-8 expressing population that correlated with malignant cell epithelial-to-mesenchymal transition. Additionally, we observe significant relationships between intracranial T cell phenotypes and the distribution of T cell clonotypes intracranially and peripherally. We found that the phenotype, clonotype, and overall number of MBM-infiltrating T cells were associated with response to ICI, suggesting that ICI-responsive MBMs interact with peripheral blood in a manner similar to extracranial lesions. These data demonstrate unique features of the MBM-TME, which may represent potential targets to improve clinical outcomes for patients with MBM.
- organism: human
- assay: scRNA-seq
- assay: CITE-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: cell-cell communication
- approach: experimental assay
- approach: statistical model
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