دورية أكاديمية
CombPDX: a unified statistical framework for evaluating drug synergism in patient-derived xenografts
| العنوان: | CombPDX: a unified statistical framework for evaluating drug synergism in patient-derived xenografts |
|---|---|
| المساهمون: | Licai Huang, Jing Wang, Bingliang Fang, Funda Meric-Bernstam, Jack A Roth, Min Jin Ha, Ha, Min Jin |
| بيانات النشر: | Nature Publishing Group Nature Portfolio Nature Publishing Group UK |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Animals, Carcinoma, Non-Small-Cell Lung* / pathology, Disease Models, Animal, Drug Synergism, Heterografts, Humans, Lung Neoplasms* / pathology, Xenograft Model Antitumor Assays, stat |
| الوصف: | Anticancer combination therapy has been developed to increase efficacy by enhancing synergy. Patient-derived xenografts (PDXs) have emerged as reliable preclinical models to develop effective treatments in translational cancer research. However, most PDX combination study designs focus on single dose levels, and dose-response surface models are not appropriate for testing synergism. We propose a comprehensive statistical framework to assess joint action of drug combinations from PDX tumor growth curve data. We provide various metrics and robust statistical inference procedures that locally (at a fixed time) and globally (across time) access combination effects under classical drug interaction models. Integrating genomic and pharmacological profiles in non-small-cell lung cancer (NSCLC), we have shown the utilities of combPDX in discovering effective therapeutic combinations and relevant biological mechanisms. We provide an interactive web server, combPDX ( https://licaih.shinyapps.io/CombPDXTest/ ), to analyze PDX tumor growth curve data and perform power analyses. ; open |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| العلاقة: | https://ir.ymlib.yonsei.ac.kr/handle/22282913/191715Test |
| الإتاحة: | https://ir.ymlib.yonsei.ac.kr/handle/22282913/191715Test |
| حقوق: | undefined |
| رقم الانضمام: | edsbas.125A8C7B |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |