Clausen Thomas Mandel, Pereira Marina Ayres, Oo Htoo Zarni, Resende Mafalda, Gustavson Tobias, Mao Yang, Sugiura Nobuo, Liew Janet, Fazli Ladan, Theander Thor G, Daugaard Mads, Salanti Ali
Centre for Medical Parasitology at Department of Immunology and Microbiology, University of Copenhagen, Denmark; Department of Infectious Diseases, Copenhagen University Hospital, Copenhagen, Denmark; Vancouver Prostate Centre, Vancouver, BC V6H 3Z6, Canada; Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada.
Centre for Medical Parasitology at Department of Immunology and Microbiology, University of Copenhagen, Denmark; Department of Infectious Diseases, Copenhagen University Hospital, Copenhagen, Denmark.
Sens Biosensing Res. 2016 Jul;9:23-30. doi: 10.1016/j.sbsr.2016.05.003.
In clinical oncology, diagnosis and evaluation of optimal treatment strategies are mostly based on histopathological examination combined with immunohistochemical (IHC) expression analysis of cancer-associated antigens in formalin fixed paraffin-embedded (FFPE) tissue biopsies. However, informative IHC analysis depends on both the specificity and affinity of the binding reagent, which are inherently difficult to quantify . Here we describe a label-free method that allows for the direct and real-time assessment of molecular binding kinetics on FFPE tissue specimens using quartz crystal microbalance (QCM) enabled biosensor technology. We analysed the interaction between the rVAR2 protein and its placental-like chondroitin sulfate (pl-CS) receptor in primary human placenta tissue and in breast and prostate tumour specimens . rVAR2 interacted with FFPE human placenta and cancer tissue with an affinity in the nanomolar range, and showed no detectable interaction with pl-CS negative normal tissue. We further validated the method by including analysis with the androgen receptor N-20 antibody (-AR). As the K value produced by this method is independent of the number of epitopes available, this readout offers a quantitative and unbiased readout for binding-avidity and amount of binding epitopes. In summary, this method adds a new and important dimension to classical IHC-based molecular pathology by adding information about the binding characteristics in biologically relevant conditions. This can potentially be used to select optimal biologics for diagnostic and for therapeutic applications as well as guide the development of novel high affinity binding drugs.
在临床肿瘤学中,最佳治疗策略的诊断和评估主要基于福尔马林固定石蜡包埋(FFPE)组织活检中的组织病理学检查以及癌症相关抗原的免疫组织化学(IHC)表达分析。然而,信息丰富的免疫组化分析取决于结合试剂的特异性和亲和力,而这两者本质上都难以量化。在这里,我们描述了一种无标记方法,该方法使用石英晶体微天平(QCM)生物传感器技术,能够对FFPE组织标本上的分子结合动力学进行直接实时评估。我们分析了rVAR2蛋白与其在原代人胎盘组织以及乳腺和前列腺肿瘤标本中的胎盘样硫酸软骨素(pl-CS)受体之间的相互作用。rVAR2与FFPE人胎盘和癌组织相互作用,亲和力在纳摩尔范围内,并且与pl-CS阴性正常组织没有可检测到的相互作用。我们通过使用雄激素受体N-20抗体(-AR)进行分析进一步验证了该方法。由于该方法产生的K值与可用表位的数量无关,因此这种读数为结合亲和力和结合表位的数量提供了定量且无偏差的读数。总之,该方法通过在生物学相关条件下增加有关结合特性的信息,为基于经典免疫组化的分子病理学增添了一个新的重要维度。这有可能用于选择用于诊断和治疗应用的最佳生物制剂,并指导新型高亲和力结合药物的开发。