Date:	13:30 - 15:00, December 14 (Tues), 2021
Room:	Online (Please send an email to the contact address previously for your participation)
Speaker:	Dr. Qian Yu (余 倩) Dept. Comp. Biol. Med. Sci., Grad. Sch. Front. Sci., Univ. Tokyo
Title:	Mathematical Modeling of Drug Resistance Evolution and The Optimal Treatment Strategy in EGFR mutated Lung Cancer

Abstract

Epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) is widely used for treatment of non-small cell lung cancer (NSCLC) patients with EGFR mutation. However, additional mutations eventually cause the drug resistance, which can lead to progressive disease. In order to overcome this problem, we theoretically investigate the optimal treatment schedule with available targeted drugs that minimizes the risk of drug resistance and prolongs the time to recurrence. We developed a computational model incorporating in vitro data of cancer cell kinetics, and explore the optimal treatment schedule that prolongs the time of recurrence. In our parameter range, we found that using drugs efficient for the resistant cells as the first-line drug can be beneficial in monotherapy. Moreover, we suggested the suitable time of drug switching. Finally, the results also indicated that the combination therapy using two kinds of EGFR-TKIs has a potential clinical application.

This seminar will be conducted online.
If you are interested in participating in the seminar, please contact below.

contact:
Atsushi Mochizuki
Laboratory of Mathematical Biology,
Institute for Frontier Life and Medical Sciences,
Kyoto University
Email: mochi*infront.kyoto-u.ac.jp（*を＠に変えてください。）
Tel: 075-751-4612