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胶质母细胞瘤中的受体酪氨酸激酶信号转导与靶向治疗。

Receptor Tyrosine Kinase Signaling and Targeting in Glioblastoma Multiforme.

机构信息

Department of Molecular and Cellular Biology, University of Guelph, Guelph, ON N1G 2W1, Canada.

出版信息

Int J Mol Sci. 2021 Feb 12;22(4):1831. doi: 10.3390/ijms22041831.

Abstract

Glioblastoma multiforme (GBM) is amongst the deadliest of human cancers, with a median survival rate of just over one year following diagnosis. Characterized by rapid proliferation and diffuse infiltration into the brain, GBM is notoriously difficult to treat, with tumor cells showing limited response to existing therapies and eventually developing resistance to these interventions. As such, there is intense interest in better understanding the molecular alterations in GBM to guide the development of more efficient targeted therapies. GBM tumors can be classified into several molecular subtypes which have distinct genetic signatures, and they show aberrant activation of numerous signal transduction pathways, particularly those connected to receptor tyrosine kinases (RTKs) which control glioma cell growth, survival, migration, invasion, and angiogenesis. There are also non-canonical modes of RTK signaling found in GBM, which involve G-protein-coupled receptors and calcium channels. This review uses The Cancer Genome Atlas (TCGA) GBM dataset in combination with a data-mining approach to summarize disease characteristics, with a focus on select molecular pathways that drive GBM pathogenesis. We also present a unique genomic survey of RTKs that are frequently altered in GBM subtypes, as well as catalog the GBM disease association scores for all RTKs. Lastly, we discuss current RTK targeted therapies and highlight emerging directions in GBM research.

摘要

胶质母细胞瘤(GBM)是人类癌症中最致命的癌症之一,确诊后中位生存期仅超过一年。GBM 的特征是快速增殖和弥漫性浸润到大脑中,治疗难度极大,肿瘤细胞对现有治疗方法的反应有限,最终对这些干预措施产生耐药性。因此,人们强烈希望更好地了解 GBM 中的分子变化,以指导更有效的靶向治疗的发展。GBM 肿瘤可以分为几种分子亚型,具有不同的遗传特征,它们表现出许多信号转导途径的异常激活,特别是那些与控制神经胶质瘤细胞生长、存活、迁移、侵袭和血管生成的受体酪氨酸激酶(RTKs)相关的途径。在 GBM 中还存在非典型的 RTK 信号传导模式,涉及 G 蛋白偶联受体和钙通道。本综述使用癌症基因组图谱(TCGA)GBM 数据集并结合数据挖掘方法来总结疾病特征,重点关注驱动 GBM 发病机制的特定分子途径。我们还对 GBM 亚型中经常发生改变的 RTKs 进行了独特的基因组调查,并列出了所有 RTK 的 GBM 疾病关联评分。最后,我们讨论了当前的 RTK 靶向治疗方法,并强调了 GBM 研究中的新方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3eb9/7918566/4c9758f75031/ijms-22-01831-g001.jpg

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