Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), Oncobell Program, Bellvitge Biomedical Research Institute (IDIBELL) and CIBERESP, Hospitalet de Llobregat, 08908 Barcelona, Spain.
Department of Clinical Sciences, Faculty of Medicine and Health Sciences, University of Barcelona, 08036 Barcelona, Spain.
Int J Mol Sci. 2021 Mar 6;22(5):2669. doi: 10.3390/ijms22052669.
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.
葡萄膜黑色素瘤(UM)是一种恶性肿瘤,起源于葡萄膜的黑色素细胞。它是最常见的眼癌,尽管有新的治疗方法,但预后仍然很差,多达 50%的患者出现转移,而没有有效的治疗选择。与皮肤黑色素瘤不同,UM 由于突变负担低和独特的免疫抑制微环境,被认为是一种“免疫冷”肿瘤。为了深入了解 UM 微环境在预后和转移进展中的作用,我们使用生物信息学方法进行了池分析,以特征化 UM 微环境。计算了各种基于基因表达测量基质浸润的评分,并用于评估与预后的关联。结果表明,最高的免疫和基质评分与预后不良相关。具体而言,基质细胞(成纤维细胞和内皮细胞)、T 细胞 CD8+、自然杀伤(NK)细胞和巨噬细胞 M1 和 M2 浸润与预后不良相关。与其他肿瘤相反,淋巴细胞浸润与预后不良相关。只有 B 细胞与更好的预后相关。在血管生成(Angio)和抗原呈递(AP)途径中评分较高的 UM 样本显示预后不良,表明这两种功能具有加性作用。几乎所有这些肿瘤都表现出三号染色体单体性。最后,富集分析表明,被归类为高 Angio-高 AP 的肿瘤还激活了代谢途径,如糖酵解或 PI3K-AKT-MTOR。总之,我们的池分析确定了一组具有血管生成和炎症表型的样本,这些样本表现出不良的预后和代谢激活。我们的分析显示,在合并来自不同分析平台的不同数据集的池分析中,结果具有稳健的可重复性。