PO.MCB03.01 · 分子与细胞生物学
基于网络的图谱揭示了导致 KRAS G12C 肺癌 Sotorasib 耐药的机制驱动因素和可靶向枢纽
Network based mapping reveals mechanistic drivers and targetable hubs contributing to Sotorasib resistance in KRAS G12C lung cancer
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摘要 Abstract
中文摘要
KRAS 突变是肺腺癌中最常见的致癌驱动因素之一,存在于 30% 的 NSCLC 病例中。大多数突变发生在密码子 12,损害 KRAS 的固有 GTP 酶活性并将其锁定在组成型激活状态。尽管 KRAS 长期以来被认为是"不可成药的",但共价抑制剂(如结合 KRAS G12C GDP 结合形式的 sotorasib)的开发标志着重大的治疗进展。然而,临床应答仍然有限,因为许多患者表现出原发性耐药或最终产生获得性耐药。这些局限性凸显了表达 KRAS G12C 的癌细胞并不仅仅依赖 KRAS 信号传导来生存。相反,它们通过重新布线其潜在的基因调控网络和蛋白质-蛋白质相互作用网络来适应治疗压力。这些网络本质上是高度复杂、协调且动态的,而非固定不变的。环境线索、药物暴露和内在信号程序可以重塑网络拓扑结构,产生新的调控状态以维持肿瘤生存并驱动耐药。因此,对这些拓扑转变进行系统层面的检查对于识别 KRAS 抑制剂耐药的机制基础以及识别可作为治疗弱点的上游节点至关重要。方法:对亲本和同基因耐药 NCI-H23 细胞(有和无 sotorasib 处理)进行了基于质谱的蛋白质组学和磷酸化蛋白质组学分析。进行了基于网络的分析以识别与耐药发展相关的信号改变。结果与结论:整合分析表明,对 KRAS G12C 抑制的耐受并非由单一通路介导,而是由有丝分裂、复制应激、RNA 加工和染色质重塑机制的协调网络所介导。有丝分裂调节因子(FOXM1、MELK、PLK4、NEK2)、复制应激蛋白(RRM2、RFC3、MCM5/6、RPA2/3)以及剪接/染色质因子(CLK1、SRPK1、SRSF1 和 3、SUZ12、EED)的上调,构建了一个稳健的应激适应网络,使细胞在 KRAS-G12C 抑制下得以生存。这一协调通路维持细胞增殖、稳定停滞的复制叉、支持染色质可塑性,并促进耐药持留细胞的出现。总之,这些数据支持一个模型,即暴露于 sotorasib 的细胞通过将有丝分裂和复制应激程序与 RNA 和染色质重塑相耦合来适应,从而在染色体不稳定状态下维持生存能力,该状态可产生耐药持留细胞并最终产生完全耐药的克隆。此外,这些发现还突出了有丝分裂和复制应激机器中一组可干预的弱点,可将其靶向以预防或延迟对 KRAS G12C 抑制剂的耐药。
查看英文原文 English abstract
KRAS mutations are among the most common oncogenic drivers in lung adenocarcinoma, present in 30% of NSCLC cases. Most occur at codon 12, impairing KRAS's intrinsic GTPase activity and locking it in a constitutively active state. Although KRAS was long considered “undruggable,” the development of covalent inhibitors, such as sotorasib, which bind to the KRAS G12C GDP-bound form, marked a significant therapeutic advance. However, the clinical responses remain limited, as many patients exhibit intrinsic resistance or eventually develop acquired resistance. These limitations highlight that cancer cells expressing KRAS G12C were not solely dependent on KRAS signaling for survival. Instead, they adapt to therapeutic pressure by rewiring their underlying gene regulatory and protein-protein interaction networks. These networks are highly complex, coordinated, and dynamic in nature rather than fixed. Environmental cues, drug exposure, and intrinsic signaling programs can reshape network topology, generating new regulatory states that sustain tumor survival and drive resistance. Therefore, a systems-level examination of these topological transitions is essential for identifying the mechanistic basis of KRAS inhibitor resistance and identifying the upstream nodes that may serve as therapeutic vulnerabilities. Methods: Mass-spectrometry-based proteomic and phosphoproteomic profiling was performed on parental and isogenic resistant NCI-H23 cells, with and without sotorasib treatment. Network-based analyses were conducted to identify signaling alterations associated with the development of resistance. Results and Conclusion: The integrated analysis suggests that tolerance to KRAS G12C inhibition is not mediated by a single pathway, but rather by a coordinated network of mitotic, replication stress, RNA processing, and chromatin remodeling mechanisms. Upregulation of mitotic regulators (FOXM1, MELK, PLK4, NEK2), replication-stress proteins (RRM2, RFC3, MCM5/6, RPA2/3), and splicing/chromatin factors (CLK1, SRPK1, SRSF1&3, SUZ12, EED) creates a robust stress-adaptation network that enables survival under KRAS-G12C inhibition. This coordinated pathway maintains cell proliferation, stabilizes stalled forks, supports chromatin plasticity, and promotes the emergence of drug-tolerant persisters. Together, these data support a model in which sotorasib-exposed cells adapt by coupling mitotic and replication-stress programs with RNA and chromatin remodeling, thereby maintaining viability in a chromosomally unstable state that can give rise to drug-tolerant persisters and, ultimately, fully resistant clones. In addition, these findings also highlight a set of actionable vulnerabilities within the mitotic and replication-stress machinery that may be targeted to prevent or delay resistance to KRAS G12C inhibitors.
利益披露 Disclosure
A. R. Mohanty, None..
B. Quan, None..
D. Do, None..
T. Wang, None..
T. Chou, None..
P. Kulkarni, None.