Suppr超能文献

黑色素瘤相关肿瘤抗原及其与免疫治疗的临床相关性。

Melanoma-associated tumor antigens and their clinical relevance to immunotherapy.

作者信息

Gattoni-Celli S, Cole D J

机构信息

Hollings Cancer Center, Medical University of South Carolina, Charleston 29425, USA.

出版信息

Semin Oncol. 1996 Dec;23(6):754-8.

PMID:8970598
Abstract

The last few years have witnessed the publication of a large body of evidence demonstrating conclusively the existence of tumor-associated antigens. A large majority of these studies focused on melanoma-associated tumor antigens because of the collective evidence that the immune system can influence the pathogenesis of melanoma, and because of the well-documented, although limited, success of immunotherapeutic modalities in melanoma patients. This review summarizes what is known about melanoma-associated antigenic peptides: their identity, presentation by human leukocyte antigen class I molecules to cognate T cell receptors, and their potential to induce an effective immune response. The inability of melanoma patients to mount an efficacious antitumor response and the distinction between antigenicity (i.e., the ability to express a tumor antigen) and immunogenicity (i.e., the ability to elicit an effective immune response) are discussed. Recruitment of antigen-presenting cells at the tumor site is suggested as a way to overcome tumor-induced immunotolerance. The importance of developing or perfecting laboratory and/or clinical correlates of response to immunotherapeutic modalities is emphasized because of the pressing need for reliable tests that are predictive of clinical outcome.

摘要

过去几年见证了大量证据的发表,这些证据确凿地证明了肿瘤相关抗原的存在。由于有多项证据表明免疫系统可影响黑色素瘤的发病机制,且免疫治疗方法在黑色素瘤患者中虽成功案例有限但有充分记录,因此这些研究大多聚焦于黑色素瘤相关肿瘤抗原。本综述总结了关于黑色素瘤相关抗原肽的已知信息:它们的身份、由人类白细胞抗原I类分子呈递给同源T细胞受体的情况,以及它们诱导有效免疫反应的潜力。文中讨论了黑色素瘤患者无法产生有效的抗肿瘤反应以及抗原性(即表达肿瘤抗原的能力)与免疫原性(即引发有效免疫反应的能力)之间的区别。建议在肿瘤部位募集抗原呈递细胞,以此作为克服肿瘤诱导的免疫耐受的一种方法。鉴于迫切需要能够预测临床结果的可靠检测方法,强调了开发或完善免疫治疗反应的实验室和/或临床相关指标的重要性。

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