Preclinical Prediction of Resistance Mutations and Proposal of Sequential Treatment Strategies for ALK-positive Lung Cancer Using Next-generation ALK Inhibitors.

IF 4.3 3区 医学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Pharmaceutical Research Pub Date : 2025-09-01 Epub Date: 2025-09-24 DOI:10.1007/s11095-025-03916-1
Yuki Takei, Hirotaka Kuroiwa, Chisaki Arai, Yuta Doi, Kentaro Semba
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引用次数: 0

Abstract

Background: Anaplastic lymphoma kinase (ALK) gene rearrangements occur in approximately 5% of non-small cell lung cancers (NSCLCs). Although ALK tyrosine kinase inhibitors provide substantial clinical benefits, acquired resistance-conferring mutations frequently emerge, leading to disease progression. Preclinical prediction of these mutations might help guide the development of more effective sequential treatment strategies prior to clinical application.

Objective: To predict the emergence of resistance mutations to the investigational ALK inhibitors zotizalkib (TPX-0131), gilteritinib (ASP2215), and neladalkib (NVL-655) following resistance to first-line alectinib and assess the potential of these drugs as second-line therapies.

Methods: A polymerase chain reaction (PCR)-based mutagenesis system was used to introduce random mutations into ALK cDNA harboring representative alectinib-resistant mutations. Mutant libraries were expressed in Ba/F3 cells, which were exposed to each inhibitor. Drug-resistant clones were isolated, sequenced, and evaluated for drug sensitivity using viability assays and immunoblotting.

Results: Several resistance mutations against zotizalkib, gilteritinib, and neladalkib were identified. Sequential use of these agents effectively suppressed all predicted resistance patterns with G1202R or I1171N.

Conclusions: This PCR-based platform provides a valuable approach for anticipating resistance mutations and guiding the design of optimized sequential therapies. Zotizalkib, gilteritinib, and neladalkib might represent promising alternatives to lorlatinib as second-line treatments for ALK-positive NSCLC.

Key points: • A PCR-based mutation prediction system was successfully applied to fourth-generation ALK inhibitors. • Neladalkib showed efficacy against G1202R-positive relapses with minimal evidence of secondary resistance mutations. • Sequential combinations of gilteritinib with either neladalkib or ensartinib may sustain efficacy and delay resistance in I1171N-positive relapses.

新一代ALK抑制剂对ALK阳性肺癌耐药突变的临床前预测和序贯治疗策略的提出。
背景:间变性淋巴瘤激酶(ALK)基因重排发生在大约5%的非小细胞肺癌(nsclc)中。尽管ALK酪氨酸激酶抑制剂提供了实质性的临床益处,但获得性耐药突变经常出现,导致疾病进展。这些突变的临床前预测可能有助于指导在临床应用之前制定更有效的顺序治疗策略。目的:预测ALK抑制剂zotizalkib (TPX-0131)、gilteritinib (ASP2215)和neladalkib (nhl -655)在一线alectinib耐药后出现的耐药突变,并评估这些药物作为二线治疗的潜力。方法:采用基于聚合酶链反应(PCR)的诱变系统,向ALK cDNA中引入具有代表性的阿勒替尼耐药突变。突变文库在暴露于每种抑制剂的Ba/F3细胞中表达。对耐药克隆进行分离、测序,并使用活力测定和免疫印迹法评估药物敏感性。结果:鉴定出几种对唑替基、吉列替尼和奈拉达基的耐药突变。连续使用这些药物可有效抑制G1202R或I1171N预测的所有耐药模式。结论:基于pcr的平台为预测耐药突变和指导优化序贯疗法的设计提供了有价值的方法。Zotizalkib、gilteritinib和neladalkib可能是替代lorlatinib作为alk阳性NSCLC二线治疗的有希望的选择。•基于pcr的突变预测系统成功应用于第四代ALK抑制剂。•Neladalkib对g1202r阳性复发有效,且继发耐药突变的证据很少。•gilteritinib与neladalkib或恩沙替尼的顺序组合可以维持i1171n阳性复发的疗效并延迟耐药。
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来源期刊
Pharmaceutical Research
Pharmaceutical Research 医学-化学综合
CiteScore
6.60
自引率
5.40%
发文量
276
审稿时长
3.4 months
期刊介绍: Pharmaceutical Research, an official journal of the American Association of Pharmaceutical Scientists, is committed to publishing novel research that is mechanism-based, hypothesis-driven and addresses significant issues in drug discovery, development and regulation. Current areas of interest include, but are not limited to: -(pre)formulation engineering and processing- computational biopharmaceutics- drug delivery and targeting- molecular biopharmaceutics and drug disposition (including cellular and molecular pharmacology)- pharmacokinetics, pharmacodynamics and pharmacogenetics. Research may involve nonclinical and clinical studies, and utilize both in vitro and in vivo approaches. Studies on small drug molecules, pharmaceutical solid materials (including biomaterials, polymers and nanoparticles) biotechnology products (including genes, peptides, proteins and vaccines), and genetically engineered cells are welcome.
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