Departamento de Química , Universidad de La Rioja , Centro de Investigación en Síntesis Química , 26006 Logroño , Spain.
Instituto de Medicina Molecular, Faculdade de Medicina , Universidade de Lisboa , Avenida Professor Egas Moniz , 1649-028 Lisboa , Portugal.
J Am Chem Soc. 2019 Mar 6;141(9):4063-4072. doi: 10.1021/jacs.8b13503. Epub 2019 Feb 20.
GalNAc-glycopeptides derived from mucin MUC1 are an important class of tumor-associated antigens. α- O-glycosylation forces the peptide to adopt an extended conformation in solution, which is far from the structure observed in complexes with a model anti-MUC1 antibody. Herein, we propose a new strategy for designing potent antigen mimics based on modulating peptide/carbohydrate interactions by means of O → S/Se replacement at the glycosidic linkage. These minimal chemical modifications bring about two key structural changes to the glycopeptide. They increase the carbohydrate-peptide distance and change the orientation and dynamics of the glycosidic linkage. As a result, the peptide acquires a preorganized and optimal structure suited for antibody binding. Accordingly, these new glycopeptides display improved binding toward a representative anti-MUC1 antibody relative to the native antigens. To prove the potential of these glycopeptides as tumor-associated MUC1 antigen mimics, the derivative bearing the S-glycosidic linkage was conjugated to gold nanoparticles and tested as an immunogenic formulation in mice without any adjuvant, which resulted in a significant humoral immune response. Importantly, the mice antisera recognize cancer cells in biopsies of breast cancer patients with high selectivity. This finding demonstrates that the antibodies elicited against the mimetic antigen indeed recognize the naturally occurring antigen in its physiological context. Clinically, the exploitation of tumor-associated antigen mimics may contribute to the development of cancer vaccines and to the improvement of cancer diagnosis based on anti-MUC1 antibodies. The methodology presented here is of general interest for applications because it may be extended to modulate the affinity of biologically relevant glycopeptides toward their receptors.
来源于黏蛋白 MUC1 的 GalNAc-糖肽是一类重要的肿瘤相关抗原。α-O-糖基化迫使肽在溶液中采取伸展构象,这与与模型抗-MUC1 抗体形成复合物中观察到的结构相去甚远。在此,我们提出了一种基于通过在糖苷键处的 O → S/Se 取代来调节肽/碳水化合物相互作用的设计有效抗原模拟物的新策略。这些最小的化学修饰使糖肽发生两个关键的结构变化。它们增加了碳水化合物-肽的距离,并改变了糖苷键的方向和动力学。结果,肽获得了适合抗体结合的预组织和最佳结构。因此,与天然抗原相比,这些新糖肽与代表性抗-MUC1 抗体的结合得到了改善。为了证明这些糖肽作为肿瘤相关 MUC1 抗原模拟物的潜力,带有 S-糖苷键的衍生物被连接到金纳米颗粒上,并在没有任何佐剂的情况下作为免疫原性制剂在小鼠中进行测试,结果产生了显著的体液免疫反应。重要的是,小鼠抗血清能够高选择性地识别乳腺癌患者活检中的癌细胞。这一发现表明,针对模拟抗原产生的抗体确实在其生理环境中识别天然存在的抗原。临床上,肿瘤相关抗原模拟物的开发可能有助于癌症疫苗的发展,并基于抗-MUC1 抗体改善癌症诊断。这里提出的方法具有普遍的应用意义,因为它可以扩展到调节生物相关糖肽与其受体的亲和力。