PO.ET02.12 · 实验与分子治疗
通过多样化的临床前策略探索 HLA-G 靶向疗法的抗肿瘤潜力
Exploring the anti-tumor potential of HLA-G-targeted therapeutics through diverse preclinical approaches
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
HLA-G 是一种具有强效免疫抑制特性的非经典 MHC I 类分子,在多种实体瘤中异常表达,并在免疫逃逸中发挥关键作用。这种免疫抑制主要通过其与免疫细胞上的抑制性受体(如 ILT-2)的相互作用介导,从而削弱抗肿瘤反应并促进肿瘤进展。因此,HLA-G 作为一种免疫检查点分子发挥作用,使其成为极具前景的癌症免疫治疗靶点。此前已有针对 HLA-G 的单克隆抗体和 CAR-T 疗法被探索;然而,仍需进一步优化治疗形式、引入抗体偶联药物(ADC)和多特异性抗体等新型模态并开展临床前验证,以推进其临床潜力。在本研究中,我们展示了对 HLA-G 靶向生物制剂(包括 ADC 和双特异性抗体)的临床前评估,重点关注药代动力学、疗效以及生物标志物指导的肿瘤选择性。值得注意的是,在绒毛膜癌异种移植模型中,ADC 单药治疗后观察到一例完全缓解,提示 HLA-G 靶向 ADC 在特定肿瘤背景下的治疗潜力。为进一步评估临床相关性,采用了源自患者肿瘤的 MiniPDX 平台进行靶点验证和生物标志物相关性分析。这些研究表明 HLA-G 表达可能作为治疗反应的预测标志物,并揭示了不同肿瘤类型间疗效的差异。同时,对靶向 HLA-G 与共表达肿瘤抗原的双特异性抗体进行了结合亲和力和细胞毒性评估。双特异性形式表现出增强的肿瘤细胞结合能力和强效的抗肿瘤活性,提示其在克服抗原异质性和耐药机制方面的效用。总体而言,这些发现为采用多样化模态开发 HLA-G 靶向疗法提供了临床前证据。ADC 尤其具有吸引力,因为它们可通过细胞毒性载荷增强效力,同时借助 HLA-G 肿瘤特异性抗原的特性最大限度减少脱靶毒性。此外,双特异性抗体可能提供进一步的肿瘤选择性并增强免疫激活。本研究呈现了来自体内异种移植和 MiniPDX 模型的额外疗效数据,为 HLA-G 靶向策略的持续临床前评估作出贡献。重要的是,HLA-G 已成为一个能够通过多样化治疗模态实现强效疗效的潜在治疗靶点,并可能作为预测性生物标志物。这些发现凸显了 HLA-G 靶向疗法,尤其是 ADC 和双特异性形式,作为针对疗法有限的癌症(如卵巢癌)的研究性治疗选择的潜力。
查看英文原文 English abstract
HLA-G, a non-classical MHC class I molecule with potent immunosuppressive properties, is aberrantly expressed in various solid tumors and plays a critical role in immune evasion. This immune suppression is primarily mediated through its interaction with inhibitory receptors such as ILT-2 on immune cells, which dampens anti-tumor responses and facilitates tumor progression. As such, HLA-G functions as an immune checkpoint molecule, making it a promising target for cancer immunotherapy. Monoclonal antibodies and CAR-T therapies targeting HLA-G have been previously explored; however, further optimization of therapeutic formats, incorporation of novel modalities such as antibody-drug conjugates (ADCs) and multi-specific antibodies, and preclinical validation are needed to advance their clinical potential. In this study, we present a preclinical evaluation of HLA-G-targeting biologics, including ADCs and bispecific antibodies, with emphasis on pharmacokinetics, efficacy, and biomarker-guided tumor selectivity. Notably, in a choriocarcinoma xenograft model, one complete response was observed following ADC monotherapy, suggesting the therapeutic potential of HLA-G-targeted ADCs in specific tumor contexts. To further assess clinical relevance, MiniPDX platforms derived from patient tumors were employed for target validation and biomarker correlation. These studies indicate HLA-G expression may serve as a predictive marker for therapeutic response and revealed differential efficacy across tumor types. In parallel, bispecific antibodies targeting HLA-G and co-expressed tumor antigens were evaluated for binding affinity and cytotoxicity. Bispecific formats demonstrated enhanced tumor cell engagement and potent anti-tumor activity, suggesting their utility in overcoming antigen heterogeneity and resistance mechanisms. Collectively, these findings provide preclinical evidence supporting the development of HLA-G-targeting therapeutics using diverse modalities. ADCs are particularly appealing as they can enhance potency through cytotoxic payloads while minimizing off-target toxicity due to the tumor-specific antigen nature of HLA-G. In addition, bispecific antibodies may offer further tumor selectivity and augment immune activation. This study presents additional efficacy data from in vivo xenograft and MiniPDX models, contributing to the ongoing preclinical evaluation of HLA-G-targeting strategies. Importantly, HLA-G has emerged as a potential therapeutic target capable of delivering robust efficacy through diverse therapeutic modalities and may serve as a predictive biomarker. These findings underscore the potential of HLA-G-targeted therapeutics, particularly ADCs and bispecific formats, as investigational treatment options for cancers with limited effective therapies, such as ovarian cancer.
利益披露 Disclosure
H. Kang, None..
I. Lee, None..
S. Park, None..
Y. Kim, None..
K. Cho, None..
H. Lee, None..
Y. Choi, None..
J. Hong, None..
C. Park, None..
C. Lee, None..
G. Ha, None.