| Literature DB >> 31186805 |
Yanting Duan1,2, Bo Hu3, Chunxia Qiao1,2, Longlong Luo1,2, Xinying Li2,4, Jing Wang1,2, Hao Liu5, Tingting Zhou2,4, Beifen Shen2,4, Ming Lv2,4, Jiannan Feng1,2.
Abstract
AXL receptor tyrosine kinase ligand (AXL), a tyrosine kinase receptor that is commonly overexpressed in numerous types of cancer, significantly promotes drug resistance and metastasis in tumor cells. Inhibition of the AXL/growth arrest-specific 6 (Gas6) signaling pathway is emerging as a potential anticancer therapeutic strategy. In the present study, on the basis of the three-dimensional complex structure of AXL/Gas6, the critical residues (E56, E59 and T77) in AXL binding to Gas6 were determined using computer graphics analysis and the distance geometry method. Subsequently, four-variant AXL-ECD-Fc-M1 (G32S, D87G, V92A and G127R) and AXL-ECD-Fc-M2 (G32A, D87A, V92A and G127A) were predicted as high-affinity mutants; AXL-ECD-Fc-M3 (E56R and T77R) and AXL-ECD-Fc-M4 (E59R and T77R) were predicted as low-affinity mutants. The results of the present study revealed that the half-maximal effect concentrations of AXL-ECD-Fc-M1 and AXL-ECD-Fc-M2 were ~0.141 and 0.375 µg/ml, respectively, whereas that of the wild-type protein (AXL-ECD-Fc-WT) was 0.514 µg/ml. Furthermore, adding the high-affinity mutants into culture medium to capture free Gas6 significantly inhibited AXL/Gas6 binding and thus blocked the downstream signaling pathway. In addition, the high-affinity mutants effectively suppressed the migration and metastasis of SKOV3 and A549 cells. Conversely, compared with AXL-ECD-Fc-WT, the low-affinity AXL mutants AXL-ECD-Fc-M3 and AXL-ECD-Fc-M4 lost all inhibitory activities. These findings highlight AXL as a potential therapeutic target and demonstrated that the key residues E56, E59 and T77 may be crucial sites for abolishing the activity of the AXL/Gas6 pathway in cancer therapy.Entities:
Keywords: AXL receptor tyrosine kinase ligand/growth arrest specific 6 pathway; Fc fusion protein; cancer therapy; cell migration; distance geometry
Year: 2019 PMID: 31186805 PMCID: PMC6507473 DOI: 10.3892/ol.2019.10255
Source DB: PubMed Journal: Oncol Lett ISSN: 1792-1074 Impact factor: 2.967