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通过全细胞淘选以及与人类血细胞的严格减除从组合文库中筛选抗癌抗体。

Selection of anti-cancer antibodies from combinatorial libraries by whole-cell panning and stringent subtraction with human blood cells.

作者信息

Siva Amara C, Kirkland Richard E, Lin Bing, Maruyama Toshiaki, McWhirter John, Yantiri-Wernimont Ferda, Bowdish Katherine S, Xin Hong

机构信息

Alexion Antibody Technologies Inc, San Diego, CA 92121, USA.

出版信息

J Immunol Methods. 2008 Jan 31;330(1-2):109-19. doi: 10.1016/j.jim.2007.11.008. Epub 2007 Dec 17.

DOI:10.1016/j.jim.2007.11.008
PMID:18096183
Abstract

Traditional strategies for the identification of cell-surface cancer targets often fall short of their objective. For example, whole-cell panning of antibody libraries to isolate a diverse panel of antibodies directed against targets on cancer cells often identifies all immunogenic and/or abundant cell-surface antigens, not simply tumor-specific or tumor-associated antigens. Here we describe the use of stringent negative selection in combination with positive panning to increase tumor specificity and clinical relevance of selected antibodies. Sera from cancer cell-immunized mice showed strong binding to immunizing cancer cell lines but also cross-reacted strongly with human blood cells. Antisera blood cell binding was considerably decreased after stringent subtraction with human red blood cells (RBCs) and white blood cells (WBCs), yet cancer cell specificity was retained. In order to select for a higher percentage of clinically relevant antibodies for potential therapeutic use, stringent negative selection by RBC subtraction was employed in whole-cell panning of a disease-specific phage displayed antibody library on the prostate cancer cell line, PC-3. Isolated antibodies were found to bind to target antigens implicated in tumorigenicity and cancer cell migration and/or invasion, and included CD26, CDCP1, and the integrin complexes alpha2/beta1, alpha3/beta1, alpha5/beta1, and alpha6/beta4. Compared with traditional cell panning, this method considerably increased the selectivity of antibodies to tumor-associated antigens.

摘要

传统的用于鉴定细胞表面癌症靶点的策略往往无法实现其目标。例如,对抗体文库进行全细胞淘选以分离出针对癌细胞靶点的多种抗体,通常会鉴定出所有免疫原性和/或丰富的细胞表面抗原,而不仅仅是肿瘤特异性或肿瘤相关抗原。在此,我们描述了结合严格的阴性选择与阳性淘选来提高所选抗体的肿瘤特异性和临床相关性。来自癌细胞免疫小鼠的血清与免疫的癌细胞系有强烈结合,但也与人血细胞有强烈交叉反应。用人类红细胞(RBC)和白细胞(WBC)进行严格扣除后,抗血清与血细胞的结合显著降低,但癌细胞特异性得以保留。为了选择更高比例的具有潜在治疗用途的临床相关抗体,在前列腺癌细胞系PC-3上对疾病特异性噬菌体展示抗体文库进行全细胞淘选时,采用了通过红细胞扣除进行的严格阴性选择。发现分离出的抗体与涉及肿瘤发生和癌细胞迁移及/或侵袭的靶抗原结合,包括CD26、CDCP1以及整合素复合物α2/β1、α3/β1、α5/β1和α6/β4。与传统的细胞淘选相比,该方法显著提高了抗体对肿瘤相关抗原的选择性。

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Selection of anti-cancer antibodies from combinatorial libraries by whole-cell panning and stringent subtraction with human blood cells.通过全细胞淘选以及与人类血细胞的严格减除从组合文库中筛选抗癌抗体。
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