Molecular mechanisms of the anti-cancer drug, LY2874455, in overcoming the FGFR4 mutation-based resistance

被引:9
作者
Dehghanian, Fariba [1 ]
Alavi, Shahryar [1 ]
机构
[1] Univ Isfahan, Fac Biol Sci AndTechnol, Dept Cell & Mol Biol & Microbiol, Esfahan, Iran
关键词
AMBER;
D O I
10.1038/s41598-021-96159-0
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In recent years, many strategies have been used to overcome the fibroblast growth factor receptor (FGFR) tyrosine kinase inhibitors (TKIs) resistance caused by different mutations. LY2874455 (or 6LF) is a pan-FGFR inhibitor which is identified as the most efficient TKI for all resistant mutations in FGFRs. Here, we perform a comparative dynamics study of wild type (WT) and the FGFR4 V550L mutant for better understanding of the 6LF inhibition mechanism. Our results confirm that the pan-FGFR inhibitor 6LF can bind efficiently to both WT and V550L FGFR4. Moreover, the communication network analysis indicates that in apo-WT FGFR4, alpha D-alpha E loop behaves like a switch between open and close states of the substrate-binding pocket in searching of its ligand. In contrast, V550L mutation induces the active conformation of the FGFR4 substrate-binding pocket through disruption of alpha D-alpha E loop and alpha G helix anti-correlation. Interestingly, 6LF binding causes the rigidity of hinge and alpha D helix regions, which results in overcoming V550L induced resistance. Collectively, the results of this study would be informative for designing more efficient TKIs for more effective targeting of the FGFR signaling pathway.
引用
收藏
页数:8
相关论文
共 33 条
  • [1] Advances and challenges in targeting FGFR signalling in cancer
    Babina, Irina S.
    Turner, Nicholas C.
    [J]. NATURE REVIEWS CANCER, 2017, 17 (05) : 318 - 332
  • [2] Genetic insights into the mechanisms of Fgf signaling
    Brewer, J. Richard
    Mazot, Pierre
    Soriano, Philippe
    [J]. GENES & DEVELOPMENT, 2016, 30 (07) : 751 - 771
  • [3] The Amber biomolecular simulation programs
    Case, DA
    Cheatham, TE
    Darden, T
    Gohlke, H
    Luo, R
    Merz, KM
    Onufriev, A
    Simmerling, C
    Wang, B
    Woods, RJ
    [J]. JOURNAL OF COMPUTATIONAL CHEMISTRY, 2005, 26 (16) : 1668 - 1688
  • [4] FGF Signaling in Lung Development and Disease: Human Versus Mouse
    Danopoulos, Soula
    Shiosaki, Jessica
    Al Alam, Denise
    [J]. FRONTIERS IN GENETICS, 2019, 10
  • [5] FGFR Signaling as a Candidate Therapeutic Target for Cancers Resistant to Carbon Ion Radiotherapy
    Darwis, Narisa Dewi Maulany
    Nachankar, Ankita
    Sasaki, Yasushi
    Matsui, Toshiaki
    Noda, Shin-ei
    Murata, Kazutoshi
    Tamaki, Tomoaki
    Ando, Ken
    Okonogi, Noriyuki
    Shiba, Shintaro
    Irie, Daisuke
    Kaminuma, Takuya
    Kumazawa, Takuya
    Anakura, Mai
    Yamashita, Souichi
    Hirakawa, Takashi
    Kakoti, Sangeeta
    Hirota, Yuka
    Tokino, Takashi
    Iwase, Akira
    Ohno, Tatsuya
    Shibata, Atsushi
    Oike, Takahiro
    Nakano, Takashi
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2019, 20 (18)
  • [6] Bio3d: an R package for the comparative analysis of protein structures
    Grant, Barry J.
    Rodrigues, Ana P. C.
    ElSawy, Karim M.
    McCammon, J. Andrew
    Caves, Leo S. D.
    [J]. BIOINFORMATICS, 2006, 22 (21) : 2695 - 2696
  • [7] Preclinical Evaluation of the Pan-FGFR Inhibitor LY2874455 in FRS2-Amplified Liposarcoma
    Hanes, Robert
    Munthe, Else
    Grad, Iwona
    Han, Jianhua
    Karlsen, Ida
    McCormack, Emmet
    Meza-Zepeda, Leonardo A.
    Stratford, Eva Wessel
    Myklebost, Ola
    [J]. CELLS, 2019, 8 (02)
  • [8] Molecular Dynamics Simulation for All
    Hollingsworth, Scott A.
    Dror, Ron O.
    [J]. NEURON, 2018, 99 (06) : 1129 - 1143
  • [9] Hospital Adam, 2015, Adv Appl Bioinform Chem, V8, P37, DOI 10.2147/AABC.S70333
  • [10] DFG-out Mode of Inhibition by an Irreversible Type-1 Inhibitor Capable of Overcoming Gate-Keeper Mutations in FGF Receptors
    Huang, Zhifeng
    Tan, Li
    Wang, Huiyan
    Liu, Yang
    Blais, Steven
    Deng, Jingjing
    Neubert, Thomas A.
    Gray, Nathanael S.
    Li, Xiaokun
    Mohammadi, Moosa
    [J]. ACS CHEMICAL BIOLOGY, 2015, 10 (01) : 299 - 309