Dataset Information

Identification and Validation of Small Molecule Inhibitors Targeting FGFR through Molecular Docking-Based Screening

ABSTRACT: Fibroblast growth factors and their receptors (FGFRs) play important roles in multiple cellular processes. FGFR genetic alterations such as mutations, amplifications, and chromosomal translocations are prevalent in various cancer types, contributing to the initiation and progression of tumors by enhancing FGFR signaling. Identifying effective small molecule inhibitors that selectively target FGFR can advance cancers therapy driven by FGFR abnormalities. Here, we conducted molecular docking and dynamics simulations to discover new small compounds targeting FGFRs. By docking with 2.8 million small molecules, we identified three promising FGFR inhibitors ranked in the top average absolute difference in free energy. By evaluating the binding stability of the docking pose of these three compounds, we found that ZINC000101867325 formed the most stable binding interactions with FGFRs. After treatment with ZINC000101867325, colorectal cancer cell lines showed a decrease in FGFR phosphorylation and early apoptosis. In addition, ZINC000101867325 is also predicted to interact with FGFR2 mutations in colorectal cancer (CRC) patients. This study provides the novel FGFR inhibitors, and enriches treatment strategies for cancers.

ORGANISM(S): Homo sapiens

PROVIDER: GSE267868 | GEO | 2024/06/30

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Introduction: The clinical benefit of EGFR tyrosine kinase inhibitor (TKI) treatment in non-small cell lung cancer (NSCLC) patients with activating EGFR mutations is temporary, as virtually all patients develop acquired EGFR TKI resistance that occurs via diverse mechanisms. Here, we identified increased FGFR1 expression as such a resistance mechanism and using pathways analysis and drug combination testing we identified a novel combination treatment to control growth of these resistant tumors. Methods: Novel erlotinib-resistant NSCLC cell lines were generated and analyzed by mass spectrometry-based proteomics to identify altered pathways associated with erlotinib resistance. The altered pathways were further analyzed in gefitinib and osibenib resistant cell lines. Small molecule inhibitor combinations were used to block the altered pathways and investigate growth reduction in vitro and in two xenograft mouse models. FGFR1 mRNA levels were examined in pre- and (post?)- EGFR TKI treatment clinical tumor samples. Results: Proteomic analysis revealed increased expression of FGFR1 and AXL as well as increased Akt and ERK1/2 activation in a panel of novel erlotinib-resistant HCC827 cell lines. Combined treatment with erlotinib or osimertinib and a panel of small molecule inhibitors targeting AXL/MET, FGFRs, Akt, PI3K/mTOR, MEK or ERK1/2 showed that the most prominent re-sensitization to EGFR TKI occurred with the pan-FGFR inhibitor, PD173074. Interestingly, simultaneous blockade of components of the Akt pathway using specific Akt or dual PI3K-mTOR inhibitors combined with inhibitors targeting the FGFR family exhibited the most efficient growth inhibition of FGFR1 overexpressing EGFR TKI-resistant cell lines. Phosphorylation of proteins downstream of Akt, including PRAS40, FOXO and S6 ribosomal protein, were completely abrogated by PD173074 combined with the Akt inhibitor GSK2141795 . Combination treatment with PD173074 and an Akt inhibitor exhibited synergistic growth inhibition in vivo in two FGFR1 overexpressing NSCLC EGFR TKI-resistant animal models. Conclusion: The significant growth inhibition in vitro and in vivo observed with PD173074 combined with Akt compared to either drug alone imply that inhibition of several key targets may be beneficial in controlling erlotinib-resistant NSCLC. The complete abrogation of PRAS40, FOXO and S6 phosphorylations by PD173074 combined with an Akt inhibitor indicates that the Akt pathway is no longer active.

Dataset Information

Identification and Validation of Small Molecule Inhibitors Targeting FGFR through Molecular Docking-Based Screening

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets