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肿瘤分析研究:综合、多组学、功能肿瘤分析,为临床决策提供支持。

The Tumor Profiler Study: integrated, multi-omic, functional tumor profiling for clinical decision support.

机构信息

University Hospital Zurich, Department of Dermatology, University of Zurich, Gloriastrasse 31, 8091 Zurich, Switzerland.

ETH Zurich, Department of Computer Science, Institute of Machine Learning, Universitätstrasse 6, 8092 Zurich, Switzerland; SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland; University Hospital Zurich, Biomedical Informatics, Schmelzbergstrasse 26, 8006 Zurich, Switzerland.

出版信息

Cancer Cell. 2021 Mar 8;39(3):288-293. doi: 10.1016/j.ccell.2021.01.004. Epub 2021 Jan 21.


DOI:10.1016/j.ccell.2021.01.004
PMID:33482122
Abstract

The application and integration of molecular profiling technologies create novel opportunities for personalized medicine. Here, we introduce the Tumor Profiler Study, an observational trial combining a prospective diagnostic approach to assess the relevance of in-depth tumor profiling to support clinical decision-making with an exploratory approach to improve the biological understanding of the disease.

摘要

分子谱分析技术的应用和整合为个性化医疗创造了新的机会。在这里,我们介绍了肿瘤谱分析研究,这是一项观察性试验,结合了前瞻性诊断方法来评估深入的肿瘤谱分析对支持临床决策的相关性,以及探索性方法来提高对疾病的生物学理解。

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