Garg Tushar, Weiss Clifford R, Sheth Rahul A
Division of Vascular and Interventional Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Cancers (Basel). 2022 Jul 26;14(15):3628. doi: 10.3390/cancers14153628.
In recent years there has been increased interest in using the immune contexture of the primary tumors to predict the patient's prognosis. The tumor microenvironment of patients with cancers consists of different types of lymphocytes, tumor-infiltrating leukocytes, dendritic cells, and others. Different technologies can be used for the evaluation of the tumor microenvironment, all of which require a tissue or cell sample. Image-guided tissue sampling is a cornerstone in the diagnosis, stratification, and longitudinal evaluation of therapeutic efficacy for cancer patients receiving immunotherapies. Therefore, interventional radiologists (IRs) play an essential role in the evaluation of patients treated with systemically administered immunotherapies. This review provides a detailed description of different technologies used for immune assessment and analysis of the data collected from the use of these technologies. The detailed approach provided herein is intended to provide the reader with the knowledge necessary to not only interpret studies containing such data but also design and apply these tools for clinical practice and future research studies.
近年来，利用原发性肿瘤的免疫背景来预测患者预后的关注度日益增加。癌症患者的肿瘤微环境由不同类型的淋巴细胞、肿瘤浸润白细胞、树突状细胞等组成。可使用不同技术评估肿瘤微环境，所有这些技术都需要组织或细胞样本。图像引导下的组织采样是接受免疫治疗的癌症患者诊断、分层及疗效纵向评估的基石。因此，介入放射科医生在评估接受全身免疫治疗的患者中发挥着重要作用。本综述详细描述了用于免疫评估的不同技术以及对使用这些技术收集的数据的分析。本文提供的详细方法旨在为读者提供必要的知识，使其不仅能够解读包含此类数据的研究，还能设计并将这些工具应用于临床实践和未来的研究。
