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Patient-derived xenografts and single-cell sequencing identifies three subtypes of tumor-reactive lymphocytes in uveal melanoma metastases.

Authors :
Karlsson, Joakim W.
Sah, Vasu R.
Bagge, Roger Olofsson
Kuznetsova, Irina
Iqba, Munir
Alsen, Samuel
Stenqvist, Sofia
Saxena, Alka
Ny, Lars
Nilsson, Lisa M.
Nilsson, Jonas A.
Source :
eLife. 9/23/2024, p1-28. 28p.
Publication Year :
2024

Abstract

Uveal melanoma (UM) is a rare melanoma originating in the eye’s uvea, with 50% of patients experiencing metastasis predominantly in the liver. In contrast to cutaneous melanoma, there is only a limited effectiveness of combined immune checkpoint therapies, and half of patients with uveal melanoma metastases succumb to disease within 2 years. This study aimed to provide a path toward enhancing immunotherapy efficacy by identifying and functionally validating tumor-reactive T cells in liver metastases of patients with UM. We employed single-cell RNA-seq of biopsies and tumor-infiltrating lymphocytes (TILs) to identify potential tumor-reactive T cells. Patient-derived xenograft (PDX) models of UM metastases were created from patients, and tumor sphere cultures were generated from these models for co-culture with autologous or MART1- specific HLA-matched allogenic TILs. Activated T cells were subjected to TCR-seq, and the TCRs were matched to those found in single-cell sequencing data from biopsies, expanded TILs, and in livers or spleens of PDX models injected with TILs. Our findings revealed that tumor-reactive T cells resided not only among activated and exhausted subsets of T cells, but also in a subset of cytotoxic effector cells. In conclusion, combining single-cell sequencing and functional analysis provides valuable insights into which T cells in UM may be useful for cell therapy amplification and marker selection. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2050084X
Database :
Academic Search Index
Journal :
eLife
Publication Type :
Academic Journal
Accession number :
179954718
Full Text :
https://doi.org/10.7554/eLife.91705