Proteogenomic Insights Into Glioblastoma Evolution: Neuronal Reprogramming and Therapeutic Vulnerabilities.

Harim Koo, Jason K Sa
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Abstract

Glioblastoma (GBM) remains one of the most lethal and treatment-resistant malignancies, characterized by high recurrence rates following standard-of-care therapy. While previous longitudinal studies employing whole-exome and RNA sequencing have revealed patient-specific clonal evolution, they have not identified conserved biological programs that drive recurrence or therapeutic resistance. A recent study published in Cancer Cell presents the first integrated proteogenomic analysis of matched primary and recurrent GBMs. This integrative approach reveals a striking phenotypic transition in recurrent tumors, characterized by neuronal reprogramming supported by coordinated transcriptional, proteomic, and phosphoproteomic evidence. In this review, we contextualize these findings within the broader landscape of GBM evolution, emphasizing the mechanistic contributions of WNT/planar cell polarity (PCP) signaling and BRAF kinase activation in facilitating a neuronal-like state that enhances tumor plasticity, invasion, and treatment resistance. We further discuss how these profound insights align with preclinical models of tumor-neuron synaptic crosstalk, and propose that proteogenomics offers a powerful lens through which to uncover clinically actionable vulnerabilities. By redefining the functional landscape of recurrent GBM, the current study establishes a new framework for biomarker discovery and the rational design of targeted therapies informed by tumor evolution and neuronal niche adaptation.

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胶质母细胞瘤进化的蛋白质基因组学见解:神经元重编程和治疗脆弱性。
胶质母细胞瘤(GBM)仍然是最致命和最耐治疗的恶性肿瘤之一,其特点是在标准治疗后复发率高。虽然以前采用全外显子组和RNA测序的纵向研究揭示了患者特异性克隆进化,但他们尚未确定驱动复发或治疗耐药性的保守生物学程序。最近发表在《癌细胞》杂志上的一项研究首次对匹配的原发性和复发性GBMs进行了综合蛋白质基因组分析。这种综合方法揭示了复发性肿瘤中惊人的表型转变,其特征是由协调的转录、蛋白质组学和磷蛋白质组学证据支持的神经元重编程。在这篇综述中,我们将这些发现置于GBM进化的更广阔的背景下,强调WNT/平面细胞极性(PCP)信号和BRAF激酶激活在促进神经元样状态中的机制贡献,从而增强肿瘤的可塑性、侵袭性和治疗耐药性。我们进一步讨论了这些深刻的见解如何与肿瘤-神经元突触串扰的临床前模型相一致,并提出蛋白质基因组学提供了一个强大的镜头,通过它来发现临床可操作的脆弱性。通过重新定义复发性GBM的功能景观,本研究为发现生物标志物和根据肿瘤进化和神经元生态位适应合理设计靶向治疗建立了新的框架。
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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