Suppr超能文献

用人白细胞抗原-A24呈递的MAGE-3编码合成肽诱导抗肿瘤细胞毒性T淋巴细胞。

Induction of antitumor cytotoxic T lymphocytes with a MAGE-3-encoded synthetic peptide presented by human leukocytes antigen-A24.

作者信息

Tanaka F, Fujie T, Tahara K, Mori M, Takesako K, Sette A, Celis E, Akiyoshi T

机构信息

Department of Surgery, Medical Institute of Bioregulation, Kyushu University, Beppu, Japan.

出版信息

Cancer Res. 1997 Oct 15;57(20):4465-8.

PMID:9377553
Abstract

For the development of immunotherapy using MAGE peptides, the identification of additional tumor antigens is required. Because HLA-A24 is the most common allele in Japanese and is also frequently present in Caucasians, MAGE-3-encoded synthetic peptides with binding affinity for HLA-A24 were thus tested for the induction of specific CTLs from the peripheral blood mononuclear cells (PBMCs) of HLA-A24 healthy donors using a simplified method. By using a peptide with a sequence of IMPKAGLLI (amino acid position in MAGE-3 195-203), the CTL responses could thus be induced from unseparated PBMCs by stimulation with freshly isolated, peptide-pulsed PBMCs as antigen-presenting cells (APCs) and by also using interleukin 7 and keyhole limpet hemocyanin for a primary culture. The induced CTLs could lyse HLA-A24 carcinoma cells expressing MAGE-3, as well as the peptide-pulsed target cells, in an HLA class-I restricted manner. The identification of the MAGE-3/HLA-A24 peptide, IMPKAGLLI, may thus potentially offer the opportunities to design peptide-based immunotherapeutic approaches that might prove to be effective in treating patients with MAGE-3-positive malignant tumors.

摘要

为了开发使用MAGE肽的免疫疗法,需要鉴定更多的肿瘤抗原。由于HLA - A24是日本人中最常见的等位基因,在高加索人中也经常出现,因此使用一种简化方法,对与HLA - A24具有结合亲和力的MAGE - 3编码合成肽进行了测试,以从HLA - A24健康供体的外周血单个核细胞(PBMC)中诱导特异性CTL。通过使用序列为IMPKAGLLI(MAGE - 3中氨基酸位置195 - 203)的肽,以新鲜分离的、肽脉冲的PBMC作为抗原呈递细胞(APC)进行刺激,并在原代培养中使用白细胞介素7和钥孔戚血蓝蛋白,从而可以从未分离的PBMC中诱导CTL反应。诱导的CTL能够以HLA I类限制的方式裂解表达MAGE - 3的HLA - A24癌细胞以及肽脉冲的靶细胞。因此,鉴定出MAGE - 3/HLA - A24肽IMPKAGLLI可能为设计基于肽的免疫治疗方法提供机会,这些方法可能被证明对治疗MAGE - 3阳性恶性肿瘤患者有效。

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