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A Review of Modeling Approaches to Predict Drug Response in Clinical Oncology

Authors
 Kyungsoo Park 
Citation
 Yonsei Medical Journal, Vol.58(1) : 1-8, 2017 
Journal Title
 Yonsei Medical Journal 
ISSN
 0513-5796 
Issue Date
2017
MeSH
Antineoplastic Agents/administration & dosage* ; Antineoplastic Agents/pharmacology ; Biomarkers, Tumor ; Dose-Response Relationship, Drug* ; Humans ; Medical Oncology ; Models, Biological* ; Neoplasms/drug therapy* ; Neoplasms/pathology
Keywords
Model-based approaches ; chemotherapeutic drug ; drug development ; drug treatment
Abstract
Model-based approaches have emerged as important tools for quantitatively understanding temporal relationships between drug dose, concentration, and effect over the course of treatment, and have now become central to optimal drug development and tailored drug treatment. In oncology, the therapeutic index of a chemotherapeutic drug is typically narrow and a full dose-response relationship is not available, often because of treatment failure. Noting the benefits of model-based approaches and the low therapeutic index of oncology drugs, in recent years, modeling approaches have been increasingly used to streamline oncologic drug development through early identification and quantification of dose-response relationships. With this background, this report reviews publications that used model-based approaches to evaluate drug treatment outcome variables in oncology therapeutics, ranging from tumor size dynamics to tumor/biomarker time courses and survival response.
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DOI
10.3349/ymj.2017.58.1.1
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pharmacology (약리학교실) > 1. Journal Papers
Yonsei Authors
박경수(Park, Kyungsoo) ORCID logo https://orcid.org/0000-0002-6972-1143
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URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/154254
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