A Pharmacogenetic Predictive Model for Paclitaxel Clearance Based on the DMET Platform-Reference-Cited by-同舟云学术

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A Pharmacogenetic Predictive Model for Paclitaxel Clearance Based on the DMET Platform

Published:2013-08-05 Issue:18 Volume:19 Page:5210-5217
ISSN:1078-0432
Container-title:Clinical Cancer Research
language:en
Short-container-title:Clin Cancer Res

Author:

de Graan Anne-Joy M.,Elens Laure,Smid Marcel,Martens John W.,Sparreboom Alex,Nieuweboer Annemieke J.M.,Friberg Lena E.,Elbouazzaoui Samira,Wiemer Erik A.C.,van der Holt Bronno,Verweij Jaap,van Schaik Ron H.N.,Mathijssen Ron H.J.

Publisher

American Association for Cancer Research (AACR)

Subject

Cancer Research,Oncology

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Novel progressive deep learning algorithm for uncovering multiple single nucleotide polymorphism interactions to predict paclitaxel clearance in patients with nonsmall cell lung cancer;Cancer Innovation;2024-05-12

2. A Systematic Review of Polygenic Models for Predicting Drug Outcomes;Journal of Personalized Medicine;2022-08-27

3. Pharmacogenomics in Cytotoxic Chemotherapy of Cancer;Methods in Molecular Biology;2022

4. Tissue Type Differences in ABCB1 Expression and Paclitaxel Tissue Pharmacokinetics in Patients With Esophageal Cancer;Frontiers in Pharmacology;2021-11-11

5. The Influence of Body Composition on the Systemic Exposure of Paclitaxel in Esophageal Cancer Patients;Pharmaceuticals;2021-01-09

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