Leveraging real-world data to advance biomarker discovery and precision oncology

IF 48.8 1区 医学 Q1 CELL BIOLOGY
Jiaqian Luo, David B. Solit
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引用次数: 0

Abstract

Precision oncology is predicated on the availability of robust biomarkers deployed at scale at the point of care. Although simple in conception, precision oncology often fails in practice because of the limitations of current diagnostic platforms, the emergence of drug resistance, and an incomplete understanding of cancer pathogenesis and the host immune response. Here, we discuss using real-world data, including exceptional responder analyses, to identify biomarkers of therapy response and strategies for overcoming barriers to the broader adoption of precision oncology paradigms.
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来源期刊
Cancer Cell
Cancer Cell 医学-肿瘤学
CiteScore
55.20
自引率
1.20%
发文量
179
审稿时长
4-8 weeks
期刊介绍: Cancer Cell is a journal that focuses on promoting major advances in cancer research and oncology. The primary criteria for considering manuscripts are as follows: Major advances: Manuscripts should provide significant advancements in answering important questions related to naturally occurring cancers. Translational research: The journal welcomes translational research, which involves the application of basic scientific findings to human health and clinical practice. Clinical investigations: Cancer Cell is interested in publishing clinical investigations that contribute to establishing new paradigms in the treatment, diagnosis, or prevention of cancers. Insights into cancer biology: The journal values clinical investigations that provide important insights into cancer biology beyond what has been revealed by preclinical studies. Mechanism-based proof-of-principle studies: Cancer Cell encourages the publication of mechanism-based proof-of-principle clinical studies, which demonstrate the feasibility of a specific therapeutic approach or diagnostic test.
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