PO.CH02.01 · 化学
利用机器学习赋能的转化优化蛋白质组学系统(TPS)识别首创(first-in-class)治疗靶点
Identification of a first-in-class therapeutic target using machine learning enabled translational-optimized proteomics system (TPS)
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
背景:
在Foreseen,我们构建了一个转化优化蛋白质组学系统(TPS)并汇集了大量表征良好的人类临床样本。我们的平台能够从复杂的蛋白质组学和临床数据集中提取可操作的洞见,以加速发现用于药物发现和诊断应用的临床相关靶点。
方法:
慢性乙型肝炎(CHB)感染可导致进行性肝脏疾病,包括纤维化、肝硬化,并最终发展为肝细胞癌(HCC)。我们在一个大型肝脏队列上采用平行累积-串行碎裂结合数据非依赖采集(DIA-PASEF)进行了优化的血浆蛋白质组学分析。该队列(N=340)包括健康个体(n=48)、CHB患者(n=39)、肝纤维化患者(n=47)、肝硬化(LC,n=56)患者,以及HCC患者(基于TNM分期系统分为4个亚组:HCC1-4;n分别为36、38、39和37)。在蛋白质组制备前从血浆中去除高丰度蛋白。样本使用DIA-MS进行处理和分析以实现高通量蛋白定量。我们的TPS能够识别与肝脏疾病和肝癌进展相关的潜在生物标志物和分期特异性分子驱动因素。对选定的候选靶点进行了使用组织芯片(TMA)的表达分析,随后通过体外(细胞系)和体内(细胞来源异种移植模型)研究进行验证。
结果:
Integrin alpha-2(ITGA2)是我们在筛选后选定作为最终药物候选的肝细胞癌(HCC)中识别的七种肿瘤相关抗原(TAA)之一。它是一种细胞表面膜受体,可能在癌症中发挥调控作用,负责驱动肿瘤发生、诱导化疗耐药、调节基因组不稳定性并重塑肿瘤微环境。在本研究中,我们证明ITGA2蛋白表达在CHB、纤维化和肝硬化患者组中较低,但在HCC中显著上调。此外,通过TMA分析,ITGA2在包括胰腺癌、胃癌和结直肠癌在内的多种实体瘤中过表达。我们发现并开发了一种靶向ITGA2的抗体,具有nM级结合亲和力和良好的内化特性。我们将FS001(IPN60300)推进到临床前开发的最后阶段。这是一种首创(first-in-class)抗体药物偶联物,由(i)Foreseen专有的靶向ITGA2抗体和(ii)由上海Escugen Biotechnology开发的具有优异药学特性的接头-有效载荷组成。Foreseen已于2024年7月将FS001(IPN60300)的全球独家许可授予Ipsen。
结论:
我们的转化优化蛋白质组学系统(TPS)促成了ITGA2这一新型肿瘤相关抗原(TAA)的发现,并推动了FS001(IPN60300)的开发。
查看英文原文 English abstract
Background:
At Foreseen, we built a translational-optimized proteomics system (TPS) and assembled a vast collection of well-characterized human clinical samples. Our platform can extract actionable insights from complex proteomics and clinical datasets to accelerate the discovery of clinically relevant targets for drug discovery and for diagnostic applications.
Methods:
Chronic hepatitis B (CHB) infection may lead to progressive liver diseases including fibrosis, cirrhosis, and ultimately hepatocellular carcinoma (HCC). An optimized plasma proteomics analysis using parallel accumulation-serial fragmentation combined with data-independent acquisition (DIA-PASEF) on a large liver cohort was performed. This cohort (N=340) consists of healthy individuals (n = 48), patients with either CHB (n = 39), liver fibrosis (n = 47), liver cirrhosis (LC, n = 56), and HCC (4 subgroups based on TNM staging system: HCC1-4; n = 36, 38, 39, and 37). Highly abundant proteins were removed from plasma prior to proteomic preparation. Samples were processed and analyzed using DIA-MS for high-throughput protein quantification. Our TPS can identify potential biomarkers and stage-specific molecular drivers associated with liver disease and liver cancer progression. Expression analysis using tissue microarrays (TMA), followed by validation through in vitro (cell lines) and in vivo (cell-derived xenograft models) studies were conducted on selected candidate targets.
Results:
Integrin alpha-2 (ITGA2) was among the seven tumor-associated antigens (TAAs) identified in hepatocellular carcinoma (HCC) we selected as final drug candidates after screening. It is a cell surface membrane receptor and may function as a regulatory factor in cancer, responsible for driving tumorigenesis, inducing chemoresistance, regulating genomic instability and remodeling the tumor microenvironment. In this study we demonstrated that the protein expression of ITGA2 is low in patients' groups of CHB, fibrosis and cirrhosis, but significantly upregulated in HCC. Furthermore, ITGA2 is overexpressed in multiple solid tumors, including pancreatic, gastric, and colorectal cancers using TMA analyses. We discovered and developed an antibody targeting ITGA2 with nM binding affinity and good internalization properties. We advanced FS001(IPN60300) into the final stages of preclinical development. This a first-in-class antibody drug conjugate comprised of (i) Foreseen's proprietary antibody targeting ITGA2 and (ii) linker-payload with excellent pharmaceutical features developed by Shanghai Escugen Biotechnology. Foreseen has granted an exclusive worldwide license of FS001(IPN60300) to Ipsen in July 2024.
Conclusion:
Our translational-optimized proteomics system (TPS) has led to the discovery of ITGA2, a novel tumor-associated antigen (TAA) and enabled the development of FS001(IPN60300).
利益披露 Disclosure
C. Wong, None..
N. Li, None..
S. Gao, None..
N. Zhang, None..
J. Yin, None..
Y. Zhang, None.