Beau Baars, Ana Orive-Ramos, Ziyue Kou, Bijaya Gaire, Mathieu Desaunay, Christos Adamopoulos, Stuart A Aaronson, Shaomeng Wang, Evripidis Gavathiotis, Poulikos I Poulikakos
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引用次数: 0

摘要

高治疗指数(TI)是有效治疗癌症的关键,它既能有效抑制肿瘤细胞的致癌信号传导,又能将对正常细胞的影响降至最低。最近的研究进展引入了多种 RAS 靶向抑制剂,包括突变体特异性抑制剂(如 KRAS(G12C) 和 KRAS(G12D))以及旁系和状态选择性抑制剂。非中子特异性 RAS 抑制可通过以下方法实现:1)泛 RAS-GEF(OFF)抑制剂,通过抑制 SHP2 或 SOS1 间接使 RAS 失活,从而阻断 RAS 激活的核苷酸交换步骤;2)直接 KRAS(OFF)选择性抑制剂,不影响 NRAS 和 HRAS;3)泛 RAS(ON)抑制剂,通过阻断其效应物 RAF 的结合,直接靶向活性 RAS。然而,这些方法的信号抑制指数(SII)--RAS突变细胞(RAS(MUT))与正常细胞之间致癌信号的抑制差异--仍未得到很好的界定。在这项研究中,我们评估了不同的 RAS 突变体(RAS(MUT))和 RAS 野生型(RAS(WT))模型中状态和旁系选择性 RAS 抑制剂的 SII。PanRAS-GEF(OFF) 抑制剂表现出中性或负性 SII,在 KRAS(G12X) 细胞中对 MAPK 的抑制作用与 RAS(WT) 细胞相当或更弱。KRAS(G13D)模型对泛RAS-GEF(OFF)抑制剂的敏感性较低(负SII),尤其是在NF1缺失的情况下。由于 RAS(MUT)和 RAS(WT)细胞中的通路抑制作用相似,因此 SHP2 和 MEK 抑制剂的联合治疗会导致低 SII。此外,由于双重机制,RAS(Q61X)模型对SHP2抑制剂+MEK抑制剂联合治疗具有抗药性:MEK抑制剂诱导的NRAS(Q61X)再激活和RAS(MUT)诱导的阻碍抑制剂结合的SHP2构象。总体而言,panRAS-GEF(OFF)抑制剂的 SII 最低。PanKRAS(OFF)抑制剂的SII较高,而panRAS(ON)抑制剂的活性较广,但SII相对较窄。我们观察到,对 RAS(MUT)特异性抑制剂敏感的肿瘤也对状态选择性 RAS 抑制剂(OFF 或 ON)敏感。事实上,所有 RAS 抑制剂(突变体特异性和状态或旁系选择性)对相同部分的 RAS(MUT)模型都有活性,而大多数 RAS(MUT)细胞系对所有抑制剂都不敏感。这些发现揭示了RAS靶向抑制剂的SII差异很大,这取决于特定的RAS驱动突变和细胞环境,并强调了将SII考虑因素纳入RAS靶向疗法的设计和临床应用以改善治疗效果的重要性:要点:PanRAS-GEF(OFF)抑制剂的SII和有效性有限:泛RAS-GEF(OFF)抑制剂的信号抑制指数(SII)--即对肿瘤细胞和正常细胞致癌信号的抑制差异--为中性或负值,对KRAS(G12X)突变细胞和RAS(WT)细胞的MAPK抑制相当或降低。KRAS(G13D) 模型的敏感性降低,尤其是在 NF1 缺失的情况下。SHP2+MEK抑制剂组合的SII也很低,RAS(Q61X)模型由于NRAS(Q61X)再激活和SHP2抑制剂结合受损而表现出耐药性。PanKRAS(OFF)选择性抑制剂的SII高于panRAS-GEF(OFF)抑制剂:与panRAS-GEF(OFF)抑制剂相比,panKRAS(OFF)选择性抑制剂的SII更高,具有更好的肿瘤与正常细胞选择性。泛RAS(ON)抑制剂的SII较宽但适中:虽然泛RAS(ON)抑制剂显示出更宽的活性谱,但它们选择性抑制突变RAS信号传导的能力仍然相对较窄(SII较低):在对 RAS-MUT 特异性抑制剂同样敏感的相同 RAS-MUT 癌症模型中,状态和旁系选择性抑制剂的活性增强,这表明大多数 KRAS-MUT 肿瘤不会对任何一种 RAS 靶向抑制剂产生一致的反应:副表型和状态选择性抑制剂的有效性取决于特定的RAS突变和细胞环境,这凸显了将SII因素纳入RAS靶向疗法的开发和临床应用的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RAS mutation-specific signaling dynamics in response to paralog- and state- selective RAS inhibitors.

A high therapeutic index (TI), balancing potent oncogenic signaling inhibition in tumor cells with minimal effects on normal cells, is critical for effective cancer therapies. Recent advances have introduced diverse RAS-targeting inhibitors, including mutant-specific inhibitors (e.g., KRAS(G12C) and KRAS(G12D)), as well as paralog- and state-selective inhibitors. Non-mutant-specific RAS inhibition can be accomplished by 1) panRAS-GEF(OFF) inhibitors which inactivate RAS indirectly by inhibiting SHP2 or SOS1, thereby blocking the nucleotide exchange step of RAS activation, 2) direct KRAS(OFF)-selective inhibitors sparing NRAS and HRAS, and 3) panRAS(ON) inhibitors that directly target active RAS, by occluding binding of its effector RAF. However, the signaling inhibition index (SII) - the differential inhibition of oncogenic signaling between RAS-mutant (RAS(MUT)) and normal cells - remains poorly defined for these approaches. In this study, we evaluated the SII of state- and paralog-selective RAS inhibitors across diverse RAS-mutant (RAS(MUT)) and RAS-wild-type (RAS(WT)) models. PanRAS-GEF(OFF) inhibitors exhibited neutral or negative SII, with comparable or reduced MAPK suppression in KRAS(G12X) cells relative to RAS(WT) cells. KRAS(G13D) models showed low sensitivity (negative SII) to panRAS-GEF(OFF) inhibitors, particularly in the context of NF1 loss. Combination treatments with SHP2 and MEK inhibitors resulted in low SII, as pathway suppression was similar in RAS(MUT) and RAS(WT) cells. Furthermore, RAS(Q61X) models were resistant to combined SHP2 inhibitor+MEK inhibitor due to dual mechanisms: MEK inhibitor-induced NRAS(Q61X) reactivation and RAS(MUT)-induced SHP2 conformations impairing inhibitor binding. Overall, panRAS-GEF(OFF) inhibitors exhibited the lowest SII. PanKRAS(OFF) inhibitors demonstrated a higher SII, while panRAS(ON) inhibitors displayed broader activity but relatively narrow SII. We observed that tumors that were sensitive to RAS(MUT)-specific inhibitors, were also sensitive to the state-selective RAS inhibitors (OFF, or ON). In fact, all RAS inhibitors (mutant-specific and state- or paralog-selective) were active in the same portion of RAS(MUT) models, while the majority of RAS(MUT) cell lines were insensitive to all of them. These findings reveal significant SII variability among RAS-targeted inhibitors, depending on the specific RAS driver mutation and cell context and underscore the importance of incorporating SII considerations into the design and clinical application of RAS-targeted therapies to improve therapeutic outcomes.

Main points: PanRAS-GEF(OFF) inhibitors have limited SII and effectiveness: The Signaling Inhibition Index (SII) - i.e. the differential inhibition of oncogenic signaling between tumor and normal cells - was neutral or negative for panRAS-GEF(OFF) inhibitors, with comparable or reduced MAPK suppression in KRAS(G12X) mutant versus RAS(WT) cells. KRAS(G13D) models showed reduced sensitivity, particularly with NF1 loss. SHP2+MEK inhibitor combinations also had low SII, with RAS(Q61X) models demonstrating resistance due to NRAS(Q61X) reactivation and impaired SHP2 inhibitor binding.PanKRAS(OFF) selective inhibitors have higher SII than panRAS-GEF(OFF) inhibitors: panKRAS(OFF)-selective inhibitors have a higher SII compared to panRAS-GEF(OFF) inhibitors, offering better tumor-versus-normal cell selectivity.PanRAS(ON) inhibitors have broad but modest SII: While panRAS(ON) inhibitors displayed a broader activity profile, their ability to selectively inhibit mutant RAS signaling over normal cells remained relatively narrow (low SII).Most KRAS-mutant tumors will be insensitive to any single RAS-targeted inhibitor: State- and paralog-selective inhibitors have enhanced activity in the same RAS-MUT cancer models that are also sensitive to RAS-MUT-specific inhibitors, suggesting that most KRAS-MUT tumors will not respond uniformly to any one RAS-targeting inhibitor.SII varies across RAS inhibitors, necessitating tailored therapeutic strategies: The effectiveness of paralog- and state-selective inhibitors depends on specific RAS mutations and cell context, highlighting the need to integrate SII considerations into the development and clinical application of RAS-targeted therapies.

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