吉西他滨
癌症研究
成纤维细胞生长因子
成纤维细胞生长因子受体
化学
药理学
医学
化疗
内科学
受体
作者
Y. Ito,Daisaku Yamada,Shogo Kobayashi,Kazuki Sasaki,Yoshifumi Iwagami,Yoshito Tomimaru,Tadafumi Asaoka,Takehiro Noda,Hidenori Takahashi,Junzo Shimizu,Yuichiro� Doki,Hidetoshi Eguchi
出处
期刊:Cancer Letters
[Elsevier BV]
日期:2024-05-25
卷期号:595: 216997-216997
被引量:3
标识
DOI:10.1016/j.canlet.2024.216997
摘要
Anti-FGFR treatment for cholangiocarcinoma (CCA) with fibroblast growth factor receptor (FGFR) alteration is a promising treatment option. Since the antitumor mechanisms of anti-FGFR inhibitors and conventional cytotoxic drugs differ, synergistic effects can be possible. This study aimed to evaluate the efficacy of the combined administration of gemcitabine (GEM) and pemigatinib in CCA cells with FGFR2 alterations. To simulate the treatment for patients with 3 kinds of CCA, chemonaïve CCA with activation of the FGF pathway, chemo-resistant CCA with activation of the FGF pathway, and CCA without FGF pathway activation (as controls), we evaluated 3 different CCA cell lines, CCLP-1 (with a FGFR2 fusion mutation), CCLP-GR (GEM-resistant cells established from CCLP-1), and HuCCT1 (without FGFR mutations). There was no significant difference between CCLP-1 and HuCCT1 in GEM suspensibility (IC50=19.3, 22.6 mg/dl, p=0.1187), and the drug sensitivity to pemigatinib did not differ between CCLP-1 and CCLP-GR (IC50=7.18,7.60nM, p=0.3089). Interestingly, only CCLP-1 showed a synergistic effect with combination therapy consisting of GEM plus pemigatinib in vitro and in vivo. In a comparison of the reaction to GEM exposure, only CCLP-1 cells showed an increase in the activation of downstream proteins in the FGF pathway, especially FRS2 and ERK. In association with this reaction, cell cycle and mitosis were increased with GEM exposure in CCLP-1, but HuCCT1/CCLP-GR did not show this reaction. Our results suggested that combination therapy with GEM plus pemigatinib is a promising treatment for chemonaïve patients with CCA with activation of the FGF pathway.
科研通智能强力驱动
Strongly Powered by AbleSci AI