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JAM-A 在肿瘤增殖中的新作用:抗 JAM-A 单克隆抗体的调节作用。

A novel role for junctional adhesion molecule-A in tumor proliferation: modulation by an anti-JAM-A monoclonal antibody.

机构信息

Institut de Recherche Pierre Fabre, Center d'Immunologie Pierre Fabre, 74160 Saint Julien en Genevois, France.

出版信息

Int J Cancer. 2013 Mar 15;132(6):1463-74. doi: 10.1002/ijc.27772. Epub 2012 Dec 13.

Abstract

To identify new potential targets in oncology, functional approaches were developed using tumor cells as immunogens to select monoclonal antibodies targeting membrane receptors involved in cell proliferation. For that purpose cancer cells were injected into mice and resulting hybridomas were screened for their ability to inhibit cell proliferation in vitro. Based on this functional approach coupled to proteomic analysis, a monoclonal antibody specifically recognizing the human junctional adhesion molecule-A (JAM-A) was defined. Interestingly, compared to both normal and tumor tissues, we observed that JAM-A was mainly overexpressed on breast, lung and kidney tumor tissues. In vivo experiments demonstrated that injections of anti-JAM-A antibody resulted in a significant tumor growth inhibition of xenograft human tumors. Treatment with monoclonal antibody induced a decrease of the Ki67 expression and downregulated JAM-A levels. All together, our results show for the first time that JAM-A can interfere with tumor proliferation and suggest that JAM-A is a potential novel target in oncology. The results also demonstrate that a functional approach coupled to a robust proteomic analysis can be successful to identify new antibody target molecules that lead to promising new antibody-based therapies against cancers.

摘要

为了在肿瘤学中确定新的潜在靶点,我们采用肿瘤细胞作为免疫原开发了功能方法,以选择针对参与细胞增殖的膜受体的单克隆抗体。为此,将癌细胞注射到小鼠中,并筛选其在体外抑制细胞增殖的能力。基于这种与蛋白质组学分析相结合的功能方法,定义了一种特异性识别人连接黏附分子-A(JAM-A)的单克隆抗体。有趣的是,与正常组织和肿瘤组织相比,我们观察到 JAM-A 主要在上皮来源的乳腺癌、肺癌和肾癌肿瘤组织中过度表达。体内实验表明,抗 JAM-A 抗体的注射导致异种移植人肿瘤的生长显著抑制。用单克隆抗体治疗可降低 Ki67 的表达并下调 JAM-A 水平。综上所述,我们的研究结果首次表明 JAM-A 可干扰肿瘤增殖,并提示 JAM-A 是肿瘤学中一个有潜力的新靶点。这些结果还表明,与强大的蛋白质组学分析相结合的功能方法可成功识别新的抗体靶分子,从而为针对癌症的有前途的新型抗体疗法提供了可能。

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