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进行分子谱分析以鉴定肿瘤微环境中的相关免疫抵抗机制。

Molecular profiling to identify relevant immune resistance mechanisms in the tumor microenvironment.

机构信息

The University of Chicago, Chicago, IL 60636, USA.

出版信息

Curr Opin Immunol. 2011 Apr;23(2):286-92. doi: 10.1016/j.coi.2010.11.013. Epub 2010 Dec 23.

Abstract

The molecular identification of tumor antigens initially catalyzed substantial enthusiasm for the development of tumor antigen-based vaccines for the treatment of cancer. However, numerous vaccine approaches in melanoma and other cancers have yielded a low rate of clinical response, despite frequent induction of specific T cells as detected in the peripheral blood. This observation has prompted several investigators to begin interrogating the tumor microenvironment for biologic correlates to tumor response versus resistance. Evidence is beginning to emerge suggesting that distinct subsets of tumors may exist that reflect distinct categories of immune escape. Lack of chemokine-mediated trafficking, poor innate immune cell activation, and the presence of specific immune suppressive mechanisms can be found to characterize subsets of tumors. A non-inflamed tumor phenotype may predict for resistance to cancer vaccines, suggesting a possible predictive biomarker and patient enrichment strategy. But in addition, characterization of these subsets may pave the way for catering therapeutic interventions toward the biologic features of the tumor in individual patients.

摘要

肿瘤抗原的分子鉴定最初极大地激发了人们开发基于肿瘤抗原的疫苗来治疗癌症的热情。然而,尽管在外周血中经常检测到特异性 T 细胞的诱导,但黑色素瘤和其他癌症的许多疫苗方法的临床反应率都很低。这一观察结果促使一些研究人员开始在肿瘤微环境中探索与肿瘤反应和耐药性相关的生物学相关性。有证据表明,可能存在不同的肿瘤亚群,反映了不同类别的免疫逃逸。缺乏趋化因子介导的运输、固有免疫细胞激活不良以及存在特定的免疫抑制机制,可以发现这些肿瘤亚群的特征。非炎症性肿瘤表型可能预示着对癌症疫苗的耐药性,这表明可能存在一种预测性生物标志物和患者富集策略。但除此之外,这些亚群的特征描述可能为针对个体患者肿瘤的生物学特征提供治疗干预措施铺平道路。

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