Ye Xin, Wang Ruyi, Yu Xiaoqian, Wang Zili, Hu Haifeng, Zhang Hanchao
Department of Urology, Institute of Urology, West China Hospital of Sichuan University, Chengdu, China.
Department of Urology, The Affilated Hospital and Clinical Medical College of Chengdu University, Chengdu, China.
Front Pharmacol. 2022 Oct 12;13:1030766. doi: 10.3389/fphar.2022.1030766. eCollection 2022.
Methylation has a close relationship with immune reactions, metastasis, and cancer cell growth. Additionally, RNA methylation-related proteins have emerged as potential cancer therapeutic targets. The connection between the tumor microenvironment (TME) and methylation-related genes (MRGs) remains unclear. We explored the expression patterns of the MRGs in the genome and transcriptional fields of 796 prostate cancer (PCa) samples using two separate data sets. We identified a relationship between patient clinicopathological characteristics, prognosis, TME cell infiltrating qualities, and different MRG changes, as well as the identification of two distinct molecular groupings. Then, we formed an MRGs model to predict overall survival (OS), and we tested the accuracy of the model in patients with PCa. In addition, we developed a very accurate nomogram to improve the MRG model's clinical applicability. The low-risk group had fewer tumor mutational burden (TMB), greater tumor immune dysfunction and exclusion (TIDE) ratings, fewer mutant genes, and better OS prospects. We discuss how MGRs may affect the prognosis, clinically important traits, TME, and immunotherapy responsiveness in PCa. In order to get a better understanding of MRGs in PCa, we could further explore the prognosis and create more effective immunotherapy regimens to open new avenues.
甲基化与免疫反应、转移和癌细胞生长密切相关。此外，RNA甲基化相关蛋白已成为潜在的癌症治疗靶点。肿瘤微环境（TME）与甲基化相关基因（MRGs）之间的联系仍不清楚。我们使用两个独立的数据集，探索了796例前列腺癌（PCa）样本在基因组和转录领域中MRGs的表达模式。我们确定了患者临床病理特征、预后、TME细胞浸润特性与不同MRG变化之间的关系，并识别出两种不同的分子分组。然后，我们构建了一个MRGs模型来预测总生存期（OS），并在PCa患者中测试了该模型的准确性。此外，我们开发了一个非常准确的列线图，以提高MRG模型的临床适用性。低风险组的肿瘤突变负担（TMB）较少，肿瘤免疫功能障碍和排除（TIDE）评分较高，突变基因较少，OS前景较好。我们讨论了MGRs如何影响PCa的预后、临床重要特征、TME和免疫治疗反应性。为了更好地了解PCa中的MRGs，我们可以进一步探索预后并制定更有效的免疫治疗方案，以开辟新途径。
