Mathematical analysis identifies the optimal treatment strategy for epidermal growth factor receptor-mutated non-small cell lung cancer

Frontiers in Oncology

Oncology

Qian Yu¹  Susumu S. Kobayashi²  Hiroshi Haeno³ 

[1] Department of Computational Biology and Medical Sciences, Graduate School of Frontier Science, The University of Tokyo, Kashiwa, Japan;Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States;Research Institute for Biomedical Sciences, Tokyo University of Science, Noda, Japan;

关键词: computational modeling;    drug resistance;    cancer evolution;    lung cancer;    optimal treatment strategy;   

DOI  :  10.3389/fonc.2023.1137966

 received in 2023-01-05, accepted in 2023-09-07,  发布年份 2023

来源: Frontiers

【 摘 要 】

osimertinib-first therapy was recommended as the optimal treatment option.DiscussionThis study for the first time theoretically showed the optimal treatment strategies based on the known information in NSCLC. Our framework can be applied to other types of cancer in the future.

【 授权许可】

Unknown   
Copyright © 2023 Yu, Kobayashi and Haeno