A multi-step immune-competent genetic mouse model reveals phenotypic plasticity in uveal melanoma.

多步骤免疫功能基因小鼠模型揭示了葡萄膜黑色素瘤的表型可塑性

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作者:Xu Xiaonan, Liu Xiaoxian, Dollar James J, Liu Xiao, Jasani Neel, Posorske Benjamin, Sriramareddy Sathya Neelature, Jarajapu Vinesh, Kuznetsoff Jeffim N, Sinard John, Bennett Richard L, Licht Jonathan D, Smalley Keiran S M, Harbour J William, Yu Xiaoqing, Karreth Florian A
Uveal melanoma (UM) is a highly aggressive intraocular malignancy with limited therapeutic options for metastatic disease. Existing transgenic UM mouse models inadequately recapitulate human disease progression, while transplant models lack immune competence for studying the tumor immune microenvironment and therapeutic interventions. To address these limitations, we developed a genetically engineered mouse model incorporating stepwise genetic alterations implicated in human UM progression. Spatiotemporally controlled expression of mutant GNAQ(Q209L) from the endogenous locus induced choroidal nevi with limited penetrance. Concomitant BAP1 deletion enhanced nevus formation, while further MYC activation led to fully penetrant intraocular tumors with metastatic potential. Single-cell RNA sequencing revealed malignant cells segregated into Melanocytic and Neural Crest-like subpopulations characterized by distinct transcriptional and biosynthetic programs. Trajectory analyses inferred dedifferentiation from the Melanocytic toward the Neural Crest-like state during tumor progression. Comparison to human UM revealed commonalities with highly aggressive Class 2 UM, including gene expression signatures and copy number gains affecting genes that map to human chromosome 8q beyond the activated MYC allele, suggesting cooperative effects of multiple drivers in this chromosomal region. The tumor microenvironment featured immunosuppressive macrophage populations and exhausted T cells, closely resembling human UM. This physiologically relevant, immune-competent model provides a platform for investigating UM biology, functionally characterizing candidate driver genes, and developing immune-based therapeutic strategies.

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