Suppr超能文献

[制备与人黑色素瘤反应的人单克隆抗体及临床应用的可能性]

[Preparation of human monoclonal antibodies reactive with human melanoma and the possibility of clinical application].

作者信息

Yamaguchi H

机构信息

Dept. of Medicine, Branch Hospital Nagoya University School of Medicine.

出版信息

Gan To Kagaku Ryoho. 1988 May;15(5):1677-84.

PMID:2835935
Abstract

Human monoclonal antibodies (mAbs) were prepared from the lymph node and peripheral blood lymphocytes (PBL) of the patients with melanoma. NS-1 fusion with lymph node lymphocytes resulted in a higher number of growing hybrids than LICR-LON-HMy2 (LICR-2) fusion. Virtually no hybrids were obtained from NS-1 or LICR-2 fusions with PBL. Epstein-Barr virus transformed the lymphocytes from lymph node and periphered blood with equal efficiency, and the yield of proliferating cultures for antibody screening was more than 10 to 30-fold greater than that obtained by fusion techniques. However, once antibody-producing cultures had been identified, stability and clonability of EBV-transformed cells were poorer than that of NS-1 hybrid cells. To combine the strengths of both methods, cultures of EBV-transformed cells were fused with NS-1, and hybrid clones were isolated that showed vigorous growth, clonability, and stable antibody secretion. Detailed specificity analysis of four mAbs indicated detection of a class 1 (unique) melanoma antigen (GXM1), a class 2 (shared) melanoma antigen (HJM1) and two class 3 (widely distributed) antigen (FCM1 and DSM1). HJM1 reacted most strongly with GD3 and would be a candidate for immunotherapy of melanoma.

摘要

从黑色素瘤患者的淋巴结和外周血淋巴细胞(PBL)中制备人单克隆抗体(mAb)。与淋巴结淋巴细胞进行NS-1融合比LICR-LON-HMy2(LICR-2)融合产生的生长杂种数量更多。用NS-1或LICR-2与PBL融合几乎得不到杂种。爱泼斯坦-巴尔病毒以相同效率转化来自淋巴结和外周血的淋巴细胞,用于抗体筛选的增殖培养物产量比通过融合技术获得的产量高10至30倍以上。然而,一旦鉴定出产生抗体的培养物,EB病毒转化细胞的稳定性和克隆能力比NS-1杂交细胞差。为了结合两种方法的优点,将EB病毒转化细胞的培养物与NS-1融合,并分离出显示出旺盛生长、克隆能力和稳定抗体分泌的杂交克隆。对四种单克隆抗体的详细特异性分析表明检测到一种1类(独特)黑色素瘤抗原(GXM1)、一种2类(共享)黑色素瘤抗原(HJM1)和两种3类(广泛分布)抗原(FCM1和DSM1)。HJM1与GD3反应最强,可能是黑色素瘤免疫治疗的候选药物。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验