Literature DB >> 32819590

GDC-0980 (apitolisib) treatment with gemcitabine and/or cisplatin synergistically reduces cholangiocarcinoma cell growth by suppressing the PI3K/Akt/mTOR pathway.

Dong Kee Jang1, Yu Geon Lee2, Young Chan Chae2, Jun Kyu Lee1, Woo Hyun Paik3, Sang Hyub Lee3, Yong-Tae Kim3, Ji Kon Ryu4.   

Abstract

Since conventional chemotherapy (gemcitabine and cisplatin) has marginal survival benefit in patients with advanced cholangiocarcinoma (CCA), an effective targeted therapeutic agent is urgently required. Activation of the PI3K/Akt/mTOR signaling pathway is frequently observed in CCA, and thus, PI3K and mTOR are promising therapeutic targets in CCA. Recently a new dual PI3K/mTOR inhibitor GDC-0980 (apitolisib) was introduced. This study was undertaken to examine the activity of apitolisib against CCA cells in vitro and in vivo. Apitolisib treatment strongly reduced Akt and mTOR active phosphorylation levels and attenuated cell growth in two different CCA cell lines (SNU478 and SNU1196). In addition, the cytotoxic activity of apitolisib enhanced the effects of gemcitabine or cisplatin in vitro and increased PARP cleavage. Moreover, we observed these co-treatments significantly reduced colony formation by SNU478 and SNU1196 cells and potently inhibited tumor growth in a mouse xenograft model. The results of the present study show that apitolisib effectively reduces CCA cell growth by suppressing the PI3K/Akt/mTOR pathway. In addition, co-treatments with apitolisib and gemcitabine or cisplatin synergistically enhanced apitolisib activity, which suggests a means of improving the chemotherapeutic sensitivity of CCA.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Apitolisib; Chemotherapy; Cholangiocarcinoma; GDC-0980; Treatment

Year:  2020        PMID: 32819590     DOI: 10.1016/j.bbrc.2020.06.011

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  2 in total

1.  Computationally repurposing drugs for breast cancer subtypes using a network-based approach.

Authors:  Forough Firoozbakht; Iman Rezaeian; Luis Rueda; Alioune Ngom
Journal:  BMC Bioinformatics       Date:  2022-04-20       Impact factor: 3.307

2.  PIWIL4 and SUPT5H combine to predict prognosis and immune landscape in intrahepatic cholangiocarcinoma.

Authors:  Wenbo Zou; Zizheng Wang; Xiuping Zhang; Shuai Xu; Fei Wang; Lincheng Li; Zhaoda Deng; Jing Wang; Ke Pan; Xinlan Ge; Chonghui Li; Rong Liu; Minggen Hu
Journal:  Cancer Cell Int       Date:  2021-12-07       Impact factor: 5.722

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.