Rethinking the immunotherapy numbers game.

Rethinking the immunotherapy numbers game.
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重新思考免疫治疗数字游戏。

DOI:
10.1136/jitc-2022-005107
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发表时间:
2022-07
影响因子:
10.9
通讯作者:
--
中科院分区:
医学2区
文献类型:
--
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免疫疗法是肿瘤学的重大突破,对某些癌症产生了前所未有的反应率。特别是与常规治疗或靶向药物相结合,免疫治疗为许多患者提供了宝贵的工具来改善预后。然而,为什么不是所有患者都有良好的反应仍不清楚。人们越来越重视复杂的肿瘤微环境,特别是肿瘤免疫生态系统对治疗结果的贡献。然而,到目前为止,还没有免疫生物标志物来解释为什么两个具有相似临床分期和分子特征的患者会有不同的治疗结果。我们假设,了解免疫和肿瘤状态对于了解复杂系统对治疗的反应至关重要。在这里,我们介绍了综合数学肿瘤学方法如何帮助概念化各种免疫疗法对患者肿瘤和局部免疫环境的影响,以及如何使用免疫疗法和细胞毒性疗法的组合来改善肿瘤反应并控制和限制毒性。基于每个患者。
Immunotherapies are a major breakthrough in oncology, yielding unprecedented response rates for some cancers. Especially in combination with conventional treatments or targeted agents, immunotherapeutics offer invaluable tools to improve outcomes for many patients. However, why not all patients have a favorable response remains unclear. There is an increasing appreciation of the contributions of the complex tumor microenvironment, and the tumor-immune ecosystem in particular, to treatment outcome. To date, however, there exists no immune biomarker to explain why two patients with similar clinical stage and molecular profile would have different treatment outcomes. We hypothesize that it is critical to understand both the immune and tumor states to understand how the complex system will respond to treatment. Here, we present how integrated mathematical oncology approaches can help conceptualize the effect of various immunotherapies on a patient’s tumor and local immune environment, and how combinations of immunotherapy and cytotoxic therapy may be used to improve tumor response and control and limit toxicity on a per patient basis.
DOI: 10.1002/path.1700640403
发表时间: 1952-01-01
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影响因子: --
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发表时间: 2020-04-01
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