4.7 Article

Additive Role of Immune System Infiltration and Angiogenesis in Uveal Melanoma Progression

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MDPI
DOI: 10.3390/ijms22052669

关键词

uveal melanoma; angiogenesis; immune system; pool analysis; prognosis; gene expression

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  1. Grupo Espanol de Melanoma (GEM) [19PSJ006]

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Uveal melanoma (UM) is a common malignant eye tumor with poor prognosis, characterized by a unique immunosuppressive microenvironment. Our study found that high immune and stromal scores in the UM microenvironment were associated with poor prognosis, while lymphocytic infiltration was related to poor prognosis and only B cells were associated with a more favorable prognosis. Samples with high angiogenic and inflammatory phenotypes exhibited poor prognosis and metabolic activation.
Uveal melanoma (UM) is a malignant tumor that arises in the melanocytes of the uveal tract. It is the most frequent eye cancer, and despite new therapeutic approaches, prognosis is still poor, with up to 50% of patients developing metastasis with no efficient treatment options available. In contrast to cutaneous melanoma, UM is considered an immune-cold tumor due to the low mutational burden and the unique immunosuppressive microenvironment. To gain insight into the role of the UM microenvironment in regard to prognosis and metastatic progression, we have performed a pool analysis characterizing the UM microenvironment by using a bioinformatic approach. A variety of scores based on gene expression measuring stromal infiltration were calculated and used to assess association with prognosis. As a result, the highest immune and stromal scores were associated with poor prognosis. Specifically, stromal cells (fibroblasts and endothelial cells), T cells CD8+, natural killer (NK) cells, and macrophages M1 and M2 infiltration were associated with poor prognosis. Contrary to other tumors, lymphocytic infiltration is related to poor prognosis. Only B cells were associated with more favorable prognosis. UM samples scoring high in both angiogenesis (Angio) and antigen presentation (AP) pathways showed a poor prognosis suggesting an additive role of both functions. Almost all these tumors exhibited a chromosome 3 monosomy. Finally, an enrichment analysis showed that tumors classified as high Angio-high AP also activated metabolic pathways such as glycolysis or PI3K-AKT-MTOR. In summary, our pool analysis identified a cluster of samples with angiogenic and inflammatory phenotypes exhibiting poor prognosis and metabolic activation. Our analysis showed robust results replicated in a pool analysis merging different datasets from different analytic platforms.

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