Dissection and optimization of immune effector functions of humanized anti-ganglioside GM2 monoclonal antibody

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• 作者：Nakamura ; Kazuyasu ; Tanaka ; Yuko ; Fujino ; Ikuko ; Hirayama ; Noriaki ; Shitara ; Kenya ; Hanai ; Nobuo
• 关键词：Ganglioside GM2 ; Humanized antibody ; ADCC ; CDC ; Cancer therapy ; ADCC ; antibody-dependent cellular cytotoxicity ; C ; constant (region) ; CDC ; complement-dependent cytotoxicity ; CDR(s) ; complementarity determining region(s) ; EC₅₀ ; concentration for
• 刊名：Molecular Immunology
• 出版年：2000
• 出版时间：December 12, 2000
• 年：2000
• 卷：37
• 期：17
• 页码：1035-1046
• 全文大小：307 K

文摘

A mouse/human chimeric monoclonal antibody (MAb) KM966, specific for the cell-surface tumor antigen ganglioside GM2, was humanized by the complementarity determining regions (CDRs) grafting method. Not only the amino acid residues in the CDRs but also several in the framework regions (FRs) were changed from the human to the murine residues. A humanized variant, huKM796H/Lm-28, containing eight and five amino acid alterations in variable light (VL) and variable heavy (VH) FRs, respectively, showed a 9-fold reduction in complement-dependent cytotoxicity (CDC) compared to the chimeric KM966, despite tight antigen binding and potent antibody-dependent cellular cytotoxicity (ADCC). Several additional variants were subsequently constructed to improve the CDC of the antibody. One of the variants, designated KM8969, which differs by three amino acids, exhibited a CDC within 3-fold of the chimeric KM966. In addition, humanized KM8969 bound GM2 antigen 1.25-fold more tightly than the chimeric KM966 and showed 5-fold higher ADCC than the chimeric KM966. These results clearly show that the humanized KM8969, having the optimized immune effector functions and theoretically minimal immunogenicity, is an ideal candidate to test the effectiveness of anti-GM2 MAb in human cancer therapy. Taken together, the results obtained here indicate that the ADCC and CDC of an antibody can be dissected independently via engineering of the antibody variable region.