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免疫生物标志物作为癌症免疫治疗临床反应的相关性指标。

Immunologic biomarkers as correlates of clinical response to cancer immunotherapy.

机构信息

Tumor Vaccine Group, Center for Translational Medicine in Women's Health, University of Washington, 815 Mercer Street, 2nd Floor, Box 358050, Seattle, WA 98195-8050, USA.

出版信息

Cancer Immunol Immunother. 2011 Mar;60(3):433-42. doi: 10.1007/s00262-010-0960-8. Epub 2011 Jan 8.

Abstract

Over the last few years, several newly developed immune-based cancer therapies have been shown to induce clinical responses in significant numbers of patients. As a result, there is a need to identify immune biomarkers capable of predicting clinical response. If there were laboratory parameters that could define patients with improved disease outcomes after immunomodulation, product development would accelerate, optimization of existing immune-based treatments would be facilitated and patient selection for specific interventions might be optimized. Although there are no validated cancer immunologic biomarkers that are predictive of clinical response currently in widespread use, there is much published literature that has informed investigators as to which markers may be the most promising. Population-based studies of endogenous tumor immune infiltrates and gene expression analyses have identified specific cell populations and phenotypes of immune cells that are most likely to mediate anti-tumor immunity. Further, clinical trials of cancer vaccines and other cancer directed immunotherapy have identified candidate immunologic biomarkers that are statistically associated with beneficial clinical outcomes after immune-based cancer therapies. Biomarkers that measure the magnitude of the Type I immune response generated with immune therapy, epitope spreading, and autoimmunity are readily detected in the peripheral blood and, in clinical trials of cancer immunotherapy, have been associated with response to treatment.

摘要

在过去的几年中,一些新开发的免疫癌症疗法已被证明能在大量患者中诱导临床反应。因此,有必要确定能够预测临床反应的免疫生物标志物。如果有实验室参数可以定义免疫调节后疾病结局改善的患者,那么产品开发将会加速,现有的免疫治疗的优化将得到促进,并且针对特定干预措施的患者选择可能会得到优化。尽管目前尚无广泛应用的可预测临床反应的经验证的癌症免疫生物标志物,但有大量已发表的文献为研究人员提供了哪些标志物最有希望的信息。基于人群的内源性肿瘤免疫浸润和基因表达分析已经确定了最有可能介导抗肿瘤免疫的特定细胞群体和免疫细胞表型。此外,癌症疫苗和其他癌症导向免疫疗法的临床试验已经确定了候选免疫生物标志物,这些标志物在免疫癌症疗法后与有益的临床结局具有统计学关联。在癌症免疫治疗的临床试验中,可测量免疫疗法产生的 I 型免疫反应、表位扩展和自身免疫程度的生物标志物可在外周血中轻易检测到,并与治疗反应相关。

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