Establishment and application of a predictive model for gefitinib-induced severe rash based on pharmacometabolomic profiling and polymorphisms of transporters in non-small cell lung cancer

Establishment and application of a predictive model for gefitinib-induced severe rash based on pharmacometabolomic profiling and polymorphisms of transporters in non-small cell lung cancer

Background: Rash is a well-known predictor of survival for patients with gefitinib therapy with non-small cell lung cancer (NSCLC). However, whether patients with more severe rash obtain the more survival benefits from gefitinib is still unknown, and predicted model for severe rash is needed. Method...

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Bibliographic Details
Main Authors: Shaoxing Guan, Xi Chen, Shuang Xin, Shu Liu, Yunpeng Yang, Wenfeng Fang, Yan Huang, Hongyun Zhao, Xia Zhu, Wei Zhuang, Fei Wang, Wei Feng, Xiaoxu Zhang, Min Huang, Xueding Wang, Li Zhang
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Translational Oncology
Subjects:
Gefitinib
Pharmacometabolomic
Rash
Non-small cell lung cancer
Metabolites
Polymorphisms
Online Access:http://www.sciencedirect.com/science/article/pii/S1936523320304435

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