PO.ET02.02 · 实验与分子治疗
新型DLL3 x B7H3双特异性ADC在临床前研究中展示出更优的疗效
Novel DLL3 x B7H3 bispecific ADC demonstrated superior efficacy in preclinical studies
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
背景:小细胞肺癌(SCLC)是一种高度侵袭性的神经内分泌癌,约占所有肺癌诊断的15%。其特征为快速增殖、早期转移和不良预后,转移性疾病患者的5年生存率仅为3%。过去十年的研究揭示了SCLC存在显著的分子异质性,据此依据不同的转录特征将其分为四种主要亚型:由特定转录因子的表达定义——ASCL1高表达(SCLC-A)、NEUROD1高表达(SCLC-N)和POU2F3高表达(SCLC-P),第四种SCLC-I的特征是这三种因子的低表达。值得注意的是,SCLC-P亚型与化学免疫治疗后较差的结局相关,提示它可能代表一种更具治疗抵抗性的变体。这种高度异质性可能是治疗抵抗的关键驱动因素。DLL3是Notch通路的抑制性配体,在高达85%的SCLC肿瘤中过表达,并在不同SCLC亚型间差异显著,而其在正常组织中的表达可忽略不计。B7H3是一种属于B7免疫检查点家族的I型跨膜蛋白,是另一个有前景的靶点。它在正常组织中低表达,但在所有SCLC亚型以及其他实体瘤中高度且均一地过表达。
方法:为解决SCLC中的肿瘤异质性并改善治疗抵抗患者(尤其是SCLC-P亚型患者)的应答,我们进行了同时靶向DLL3和B7H3的双特异性抗体药物偶联物(ADC)的合理设计。我们构建了一个具有不同序列组合和结构形式的多样化双特异性抗体文库,随后将其偶联到多种连接子-拓扑异构酶1抑制剂(Top1i)载荷上。通过一项涉及全面体外和体内评估的系统筛选活动,我们成功识别出一个更优的先导双特异性ADC候选物。
结果:先导双特异性抗体在体外表现出强效的细胞内吞,而双特异性ADC在抗原阳性细胞中展示出浓度依赖性和靶点特异性的细胞毒性。在体内,跨多种患者来源异种移植(PDX)模型,先导双特异性ADC表现出强劲而持久的抗肿瘤活性,优于临床阶段的单特异性ADC基准以及其亲本单特异性ADC。值得注意的是,在难治性SCLC-P PDX模型中,它保持了优于临床单特异性ADC基准的疗效。这些结果支持双特异性ADC所赋予的协同作用机制。
结论:总之,下一代双特异性ADC在克服SCLC异质性和改善治疗抵抗患者结局方面具有巨大潜力。
查看英文原文 English abstract
Background: Small Cell Lung Cancer (SCLC) is a highly aggressive neuroendocrine carcinoma accounting for approximately 15% of all lung cancer diagnoses. It is characterized by rapid proliferation, early metastasis, and a dismal prognosis, with a 5-year survival rate of only 3% for patients with metastatic disease. Research over the past decade has revealed significant molecular heterogeneity in SCLC, leading to a classification into four major subtypes based on distinct transcriptional signatures: there are defined by the expression of specific transcription factors-ASCL1 high (SCLC-A), NEUROD1 high (SCLC-N), and POU2F3 high (SCLC-P)-and the fourth, SCLC-I, is characterized by low expression of these three factors. Notably, the SCLC-P subtype has been associated with inferior outcomes following chemo-immunotherapy, suggesting it may represent a more treatment-resistant variant. This high heterogeneity is likely a key driver of therapeutic resistance. DLL3, an inhibitory ligand of the Notch pathway, is overexpressed in up to 85% of SCLC tumors and varies significantly across SCLC subtypes, while its expression is negligible in normal tissues. B7H3, a type I transmembrane protein belonging to the B7 immune checkpoint family, is another promising target. It is expressed at low levels in normal tissues but is highly and homogeneously overexpressed across all SCLC subtypes, as well as in other solid tumors.
Methods: To address tumor heterogeneity in SCLC and improve responses for treatment-resistant patients-particularly those with the SCLC-P subtype-we pursued a rational design of a bispecific antibody-drug conjugate (ADC) targeting both DLL3 and B7H3. We engineered a diverse library of bispecific antibodies with varying sequence combinations and structural formats, which were then conjugated to diverse linker-topoisomerase 1 inhibitor (Top1i) payloads. Through a systematic screening campaign involving comprehensive in vitro and in vivo evaluations, we successfully identified a superior lead bispecific ADC candidate.
Results: The lead bispecific antibody exhibited potent cellular internalization in vitro, while the bispecific ADC demonstrated concentration-dependent and target-specific cytotoxicity in antigen-positive cells. In vivo, across multiple patient-derived xenograft (PDX) models, the lead bispecific ADC exhibited robust and sustained antitumor activity, outperforming both clinical-stage monospecific ADC benchmarks and its parental monospecific ADC. Notably, in refractory SCLC-P PDX models, it maintained superior efficacy compared to clinical monospecific ADC benchmarks. These results support a synergistic mechanism of action conferred by the bispecific ADC.
Conclusions: In conclusion, the next-generation bispecific ADC holds great potential to overcome SCLC heterogeneity and improve outcomes for treatment-resistant patients.
利益披露 Disclosure
S. Li,
GeneQuantum Healthcare (Suzhou) Co., Ltd. Employment.
C. Liu,
GeneQuantum Healthcare (Suzhou) Co., Ltd. Employment.
M. Xiong,
GeneQuantum Healthcare (Suzhou) Co., Ltd. Employment.
Y. Sun,
GeneQuantum Healthcare (Suzhou) Co., Ltd. Employment.
Z. Hu,
GeneQuantum Healthcare (Suzhou) Co., Ltd. Employment.
X. Gao,
GeneQuantum Healthcare (Suzhou) Co., Ltd. Employment.
H. He,
GeneQuantum Healthcare (Suzhou) Co., Ltd. Employment.
Y. Feng,
GeneQuantum Healthcare (Suzhou) Co., Ltd. Employment.
Z. Mu,
GeneQuantum Healthcare (Suzhou) Co., Ltd. Employment.
P. H. Song,
GeneQuantum Healthcare (Suzhou) Co., Ltd. Employment.
G. Qin,
GeneQuantum Healthcare (Suzhou) Co., Ltd. Employment.