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本文引用的文献

1
Systemic distribution and tumor localization of adoptively transferred lymphocytes in mice: comparison with physiologically based pharmacokinetic model.过继转移淋巴细胞在小鼠体内的全身分布及肿瘤定位:与基于生理的药代动力学模型的比较
Neoplasia. 2002 Jan-Feb;4(1):3-8. doi: 10.1038/sj.neo.7900209.
2
Mosaic blood vessels in tumors: frequency of cancer cells in contact with flowing blood.肿瘤中的镶嵌血管:与流动血液接触的癌细胞频率
Proc Natl Acad Sci U S A. 2000 Dec 19;97(26):14608-13. doi: 10.1073/pnas.97.26.14608.
3
Treatment of human B cell lymphoma xenografts with a CD3 x CD19 diabody and T cells.用CD3×CD19双抗体和T细胞治疗人B细胞淋巴瘤异种移植瘤。
J Immunol. 2000 Jul 15;165(2):888-95. doi: 10.4049/jimmunol.165.2.888.
4
Tumor pretargeting for radioimmunodetection and radioimmunotherapy.用于放射免疫检测和放射免疫治疗的肿瘤预靶向
J Nucl Med. 1998 Jan;39(1):65-76.
5
Bispecific antibody treatment of murine B cell lymphoma.双特异性抗体治疗小鼠B细胞淋巴瘤。
Cancer Immunol Immunother. 1997 Nov-Dec;45(3-4):162-5. doi: 10.1007/s002620050423.
6
Bifunctional antibody retargeting in vivo-activated T lymphocytes: simplifying clinical application.
J Hematother. 1995 Dec;4(6):571-7. doi: 10.1089/scd.1.1995.4.571.
7
Physiologically based kinetic model of effector cell biodistribution in mammals: implications for adoptive immunotherapy.哺乳动物效应细胞生物分布的基于生理学的动力学模型:对过继性免疫治疗的意义。
Cancer Res. 1996 Aug 15;56(16):3771-81.
8
Alternative triggering molecules and single chain bispecific antibodies.
J Hematother. 1995 Oct;4(5):377-82. doi: 10.1089/scd.1.1995.4.377.
9
Antitumor x anti-CD3 bifunctional antibodies redirect T-cells activated in vivo with staphylococcal enterotoxin B to neutralize pulmonary metastases.抗肿瘤x抗CD3双功能抗体将体内被葡萄球菌肠毒素B激活的T细胞重新定向,以中和肺转移灶。
Cancer Res. 1994 May 15;54(10):2738-43.
10
Physiologically based pharmacokinetic model for specific and nonspecific monoclonal antibodies and fragments in normal tissues and human tumor xenografts in nude mice.正常组织和裸鼠人肿瘤异种移植模型中特异性和非特异性单克隆抗体及其片段的基于生理的药代动力学模型。
Cancer Res. 1994 Mar 15;54(6):1517-28.

肿瘤的抗体导向效应细胞疗法:使用基于生理的药代动力学模型进行分析与优化

Antibody-directed effector cell therapy of tumors: analysis and optimization using a physiologically based pharmacokinetic model.

作者信息

Friedrich Stuart W, Lin Stephany C, Stoll Brian R, Baxter Laurence T, Munn Lance L, Jain Rakesh K

机构信息

Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.

出版信息

Neoplasia. 2002 Sep-Oct;4(5):449-63. doi: 10.1038/sj.neo.7900260.

DOI:10.1038/sj.neo.7900260
PMID:12192604
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1661679/
Abstract

The failure of the cellular immune response to stop solid tumor growth has been the subject of much research. Although the mechanisms for tumor evasion of immune response are poorly understood, one viable explanation is that tumor-killing lymphocytes cannot reach the tumor cells in sufficient quantity to keep the tumor in check. Recently, the use of bifunctional antibodies (BFAs) has been proposed as a way to direct immune cells to the tumor: one arm of the antibody is specific for a known tumor-associated antigen and the other for a lymphocyte marker such as CD3. Injecting this BFA should presumably result in cross-linking of lymphocytes (either endogenous or adoptively transferred) with tumor cells, thereby enhancing therapy. Results from such an approach, however, are often disappointing--frequently there is no benefit gained by using the BFA. We have analyzed the retargeting of endogenous effector cells by BFA using a physiologically based whole-body pharmacokinetic model that accounts for interactions between all relevant species in the various organs and tumor. Our results suggest that the design of the BFA is critical and the binding constants of the antigen and lymphocyte binding epitopes need to be optimized for successful therapy.

摘要

细胞免疫反应无法阻止实体瘤生长一直是众多研究的主题。尽管肿瘤逃避免疫反应的机制尚不清楚,但一种可行的解释是,杀伤肿瘤的淋巴细胞无法足量抵达肿瘤细胞以控制肿瘤。最近,有人提出使用双功能抗体(BFA)作为将免疫细胞导向肿瘤的一种方法:抗体的一个臂对已知的肿瘤相关抗原有特异性,另一个臂对淋巴细胞标志物如CD3有特异性。注射这种BFA大概会使淋巴细胞(内源性的或过继转移的)与肿瘤细胞交联,从而增强治疗效果。然而,这种方法的结果往往令人失望——使用BFA常常没有益处。我们使用基于生理学的全身药代动力学模型分析了BFA对内源性效应细胞的重定向作用,该模型考虑了各个器官和肿瘤中所有相关物质之间的相互作用。我们的结果表明,BFA的设计至关重要,抗原和淋巴细胞结合表位的结合常数需要优化才能实现成功治疗。