Baars Beau, Orive-Ramos Ana, Kou Ziyue, Gaire Bijaya, Desaunay Mathieu, Adamopoulos Christos, Aaronson Stuart A, Wang Shaomeng, Gavathiotis Evripidis, Poulikakos Poulikos I
bioRxiv. 2025 Mar 21:2025.02.14.638317. doi: 10.1101/2025.02.14.638317.
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.
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 a higher SII compared to panRAS-GEF(OFF) inhibitors, offering better tumor-versus-normal cell selectivity. 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). 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. 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.
高治疗指数(TI),即在肿瘤细胞中平衡有效的致癌信号抑制与对正常细胞的最小影响,对于有效的癌症治疗至关重要。最近的进展引入了多种RAS靶向抑制剂,包括突变体特异性抑制剂(例如,KRAS(G12C)和KRAS(G12D)),以及旁系同源物和状态选择性抑制剂。非突变体特异性RAS抑制可以通过以下方式实现:1)泛RAS-GEF(OFF)抑制剂,其通过抑制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,对NRAS和HRAS具有选择性;3)泛RAS(ON)抑制剂,其通过阻断效应器RAF的结合直接靶向活性RAS。然而,对于这些方法,信号抑制指数(SII)——RAS突变体(RAS(MUT))和正常细胞之间致癌信号的差异抑制——仍未明确界定。在本研究中,我们评估了状态和旁系同源物选择性RAS抑制剂在多种RAS突变体(RAS(MUT))和RAS野生型(RAS(WT))模型中的SII。泛RAS-GEF(OFF)抑制剂表现出中性或负SII,与RAS(WT)细胞相比,KRAS(G12X)细胞中的MAPK抑制相当或降低。KRAS(G13D)模型对泛RAS-GEF(OFF)抑制剂表现出低敏感性(负SII),特别是在NF1缺失的情况下。SHP2和MEK抑制剂的联合治疗导致低SII,因为RAS(MUT)和RAS(WT)细胞中的信号通路抑制相似。此外,RAS(Q61X)模型对SHP2抑制剂+MEK抑制剂的联合治疗具有抗性,原因有两个:MEK抑制剂诱导的NRAS(Q61X)重新激活和RAS(MUT)诱导的SHP2构象损害抑制剂结合。总体而言,泛RAS-GEF(OFF)抑制剂表现出最低的SII。泛KRAS(OFF)抑制剂表现出较高的SII,而泛RAS(ON)抑制剂表现出更广泛的活性,但相对较窄的SII。我们观察到,对RAS(MUT)特异性抑制剂敏感的肿瘤,对状态选择性RAS抑制剂(OFF或ON)也敏感。事实上,所有RAS抑制剂(突变体特异性和状态或旁系同源物选择性)在相同部分的RAS(MUT)模型中都有活性,而大多数RAS(MUT)细胞系对所有这些抑制剂都不敏感。这些发现揭示了RAS靶向抑制剂之间显著的SII变异性,这取决于特定的RAS驱动突变和细胞背景,并强调了将SII考虑因素纳入RAS靶向治疗的设计和临床应用以改善治疗结果的重要性。
信号抑制指数(SII),即肿瘤细胞与正常细胞之间致癌信号的差异抑制,对于泛RAS-GEF(OFF)抑制剂而言是中性或负的,与RAS(WT)细胞相比,KRAS(G12X)突变体中的MAPK抑制相当或降低。KRAS(G13D)模型表现出降低的敏感性,特别是在NF1缺失的情况下。SHP2+MEK抑制剂组合也具有低SII,RAS(Q61X)模型由于NRAS(Q61X)重新激活和SHP2抑制剂结合受损而表现出抗性。与泛RAS-GEF(OFF)抑制剂相比,泛KRAS(OFF)选择性抑制剂具有更高的SII,提供了更好的肿瘤与正常细胞选择性。虽然泛RAS(ON)抑制剂表现出更广泛的活性谱,但它们在选择性抑制突变体RAS信号而非正常细胞信号方面的能力仍然相对较窄(低SII)。状态和旁系同源物选择性抑制剂在对RAS(MUT)特异性抑制剂也敏感的相同RAS(MUT)癌症模型中具有增强的活性,这表明大多数KRAS(MUT)肿瘤对任何一种RAS靶向抑制剂都不会有一致的反应。旁系同源物和状态选择性抑制剂的有效性取决于特定RAS突变和细胞背景,突出了将SII考虑因素纳入RAS靶向治疗的开发和临床应用的必要性。