Tyrosine metabolic reprogramming coordinated with the tricarboxylic acid cycle to drive glioma immune evasion by regulating PD-L1 expression

Ibrain Pub Date : 2023-05-22 DOI:10.1002/ibra.12107
Ji-Yan Wang, Xin-Tong Dai, Qing-Le Gao, Hong-Kai Chang, Shuai Zhang, Chang-Liang Shan, Tao He
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引用次数: 1

Abstract

Due to the existence of the blood–brain barrier in glioma, traditional drug therapy has a poor therapeutic outcome. Emerging immunotherapy has been shown to have satisfactory therapeutic effects in solid tumors, and it is clinically instructive to explore the possibility of immunotherapy in glioma. We performed a retrospective analysis of RNA-seq data and clinical information in 1027 glioma patients, utilizing machine learning to explore the relationship between tyrosine metabolizing enzymes and clinical characteristics. In addition, we also assessed the role of tyrosine metabolizing enzymes in the immune microenvironment including immune infiltration and immune evasion. Highly expressed tyrosine metabolizing enzymes 4-hydroxyphenylpyruvate dioxygenase, homogentisate 1,2-dioxygenase, and fumarylacetoacetate hydrolase not only promote the malignant phenotype of glioma but are also closely related to poor prognosis. The expression of tyrosine metabolizing enzymes could distinguish the malignancy degree of glioma. More importantly, tyrosine metabolizing enzymes regulate the adaptive immune process in glioma. Mechanistically, multiple metabolic enzymes remodel fumarate metabolism, promote α-ketoglutarate production, induce programmed death-ligand 1 expression, and help glioma evade immune surveillance. Our data suggest that the metabolic subclass driven by tyrosine metabolism provides promising targets for the immunotherapy of glioma.

Abstract Image

酪氨酸代谢重编程与三羧酸循环协调,通过调节PD-L1表达来驱动神经胶质瘤免疫逃避。
由于胶质瘤存在血脑屏障,传统药物治疗效果不佳。新兴的免疫疗法已被证明对实体瘤具有令人满意的治疗效果,探索神经胶质瘤免疫疗法的可能性具有临床指导意义。我们对1027名神经胶质瘤患者的RNA-seq数据和临床信息进行了回顾性分析,利用机器学习来探索酪氨酸代谢酶与临床特征之间的关系。此外,我们还评估了酪氨酸代谢酶在免疫微环境中的作用,包括免疫浸润和免疫逃避。高表达的酪氨酸代谢酶4-羟基苯基丙酮酸双加氧酶、匀浆1,2-二加氧酶和富马酸乙酰乙酸水解酶不仅促进神经胶质瘤的恶性表型,而且与预后不良密切相关。酪氨酸代谢酶的表达可以判断胶质瘤的恶性程度。更重要的是,酪氨酸代谢酶调节神经胶质瘤的适应性免疫过程。从机制上讲,多种代谢酶重塑富马酸代谢,促进α-酮戊二酸的产生,诱导程序性死亡配体1的表达,并帮助神经胶质瘤逃避免疫监测。我们的数据表明,酪氨酸代谢驱动的代谢亚类为神经胶质瘤的免疫治疗提供了有前景的靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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