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基于影像学的肿瘤异质性特征分析用于癌症个体化治疗。

Imaging-based characterization of tumoral heterogeneity for personalized cancer treatment.

机构信息

Institute of Clinical Radiology and Nuclear Medicine, University Medical Centre Mannheim, Germany.

Institute of Clinical Chemistry, Medical Faculty Mannheim of the University of Heidelberg, University Hospital Mannheim, Germany.

出版信息

Rofo. 2024 Mar;196(3):262-272. doi: 10.1055/a-2175-4622. Epub 2023 Nov 9.

Abstract

With personalized tumor therapy, understanding and addressing the heterogeneity of malignant tumors is becoming increasingly important. Heterogeneity can be found within one lesion (intralesional) and between several tumor lesions emerging from one primary tumor (interlesional). The heterogeneous tumor cells may show a different response to treatment due to their biology, which in turn influences the outcome of the affected patients and the choice of therapeutic agents. Therefore, both intra- and interlesional heterogeneity should be addressed at the diagnostic stage. While genetic and biological heterogeneity are important parameters in molecular tumor characterization and in histopathology, they are not yet addressed routinely in medical imaging. This article summarizes the recently established markers for tumor heterogeneity in imaging as well as heterogeneous/mixed response to therapy. Furthermore, a look at emerging markers is given. The ultimate goal of this overview is to provide comprehensive understanding of tumor heterogeneity and its implications for radiology and for communication with interdisciplinary teams in oncology. KEY POINTS::   · Tumor heterogeneity can be described within one lesion (intralesional) or between several lesions (interlesional).. · The heterogeneous biology of tumor cells can lead to a mixed therapeutic response and should be addressed in diagnostics and the therapeutic regime.. · Quantitative image diagnostics can be enhanced using AI, improved histopathological methods, and liquid profiling in the future..

摘要

随着个性化肿瘤治疗的发展,了解和解决恶性肿瘤的异质性变得越来越重要。异质性可以在一个病变(瘤内)内找到,也可以在一个原发性肿瘤中出现的几个肿瘤病变之间找到(瘤间)。由于生物学的不同,异质肿瘤细胞可能对治疗有不同的反应,这反过来又影响了受影响患者的结果和治疗药物的选择。因此,在诊断阶段应解决瘤内和瘤间的异质性。虽然遗传和生物学异质性是分子肿瘤特征和组织病理学中的重要参数,但它们尚未在医学成像中常规解决。本文总结了成像中肿瘤异质性的最新确立的标志物以及对治疗的异质/混合反应。此外,还介绍了一些新兴的标志物。本文的最终目标是全面了解肿瘤异质性及其对放射学和与肿瘤学多学科团队沟通的影响。

关键点

· 肿瘤异质性可以在一个病变(瘤内)内或几个病变(瘤间)之间描述。

· 肿瘤细胞的异质生物学可能导致混合治疗反应,应在诊断和治疗方案中解决。

· 未来可以使用人工智能、改进的组织病理学方法和液体分析来增强定量成像诊断。

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