Uveal melanoma (UM) is the most common primary intraocular malignancy in adults and has a high mortality rate. Tumor microenvironment (TME) is crucial in controlling and influencing the behavior of malignant tumors. Thus, illustrating the prognostic values of adaptive immune resistance signatures and infiltrating immune cells in the TME of UM may provide scientific rationales for immunotherapy. In this study, the gene expression data of 80 primary UM and 103 primary skin cutaneous melanoma (SKCM) samples with relevant clinical information were obtained from The Cancer Genome Atlas (TCGA) database. The TME was analyzed by the xCell, EPIC, ESTIMATE and TIMER algorithms. The relationships and prognostic values of immune infiltrates and mutated genes were further investigated. We found that primary UM and primary SKCM exhibited distinct TMEs. Higher levels of infiltrating stromal and immune cells in UM were related to more aggressive biology and poor prognosis. Increased CD8+ T cell level, as well as several adaptive immune resistance markers, was a predictive factor of poor prognosis in UM. Furthermore, some common mutations of UM were associated with its TME. This study analyzed the immune landscape of adaptive immune resistance signatures and infiltrating immune cells in the TME of UM. Identification of these immune-related biomarkers may thus enable the prediction of prognosis and the selection of optimal immunotherapy strategies in UM.

中文翻译：

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葡萄膜黑色素瘤肿瘤微环境中适应性免疫抵抗特征和浸润性免疫细胞的预后情况。

葡萄膜黑色素瘤（UM）是成人中最常见的原发性眼内恶性肿瘤，死亡率很高。肿瘤微环境（TME）对于控制和影响恶性肿瘤的行为至关重要。因此，在UM的TME中阐明适应性免疫抗性特征和浸润性免疫细胞的预后价值可能为免疫治疗提供科学依据。在这项研究中，从癌症基因组图谱（TCGA）数据库获得了80例原发性UM和103例原发性皮肤皮肤黑色素瘤（SKCM）样品的基因表达数据以及相关的临床信息。通过xCell，EPIC，ESTIMATE和TIMER算法分析了TME。进一步研究了免疫浸润和突变基因的关系和预后价值。我们发现主要UM和主要SKCM表现出不同的TME。UM中较高的浸润性基质细胞和免疫细胞水平与更具攻击性的生物学和不良预后有关。CD8 + T细胞水平升高，以及几种适应性免疫抵抗标记，是UM预后不良的预测因素。此外，UM的一些常见突变与其TME有关。这项研究分析了UM的TME中的适应性免疫抵抗特征和浸润性免疫细胞的免疫情况。这些免疫相关生物标志物的鉴定因此可以实现UM的预后预测和最佳免疫治疗策略的选择。此外，UM的一些常见突变与其TME有关。这项研究分析了UM的TME中的适应性免疫抗性特征和浸润性免疫细胞的免疫情况。这些免疫相关生物标志物的鉴定因此可以实现UM的预后预测和最佳免疫治疗策略的选择。此外，UM的一些常见突变与其TME有关。这项研究分析了UM的TME中的适应性免疫抵抗特征和浸润性免疫细胞的免疫情况。这些免疫相关生物标志物的鉴定因此可以实现UM的预后预测和最佳免疫治疗策略的选择。