| Literature DB >> 28251492 |
Marie Schoumacher1, Mike Burbridge2.
Abstract
A major challenge in anticancer treatment is the pre-existence or emergence of resistance to therapy. AXL and MER are two members of the TAM (TYRO3-AXL-MER) family of receptor tyrosine kinases, which, when activated, can regulate tumor cell survival, proliferation, migration and invasion, angiogenesis, and tumor-host interactions. An increasing body of evidence strongly suggests that these receptors play major roles in resistance to targeted therapies and conventional cytotoxic agents. Multiple resistance mechanisms exist, including the direct and indirect crosstalk of AXL and MER with other receptors and the activation of feedback loops regulating AXL and MER expression and activity. These mechanisms may be innate, adaptive, or acquired. A principal role of AXL appears to be in sustaining a mesenchymal phenotype, itself a major mechanism of resistance to diverse anticancer therapies. Both AXL and MER play a role in the repression of the innate immune response which may also limit response to treatment. Small molecule and antibody inhibitors of AXL and MER have recently been described, and some of these have already entered clinical trials. The optimal design of treatment strategies to maximize the clinical benefit of these AXL and MER targeting agents are discussed in relation to the different cancer types and the types of resistance encountered. One of the major challenges to successful development of these therapies will be the application of robust predictive biomarkers for clear-cut patient stratification.Entities:
Keywords: AXL; Cancer; Drug resistance; Epithelial-to-mesenchymal transition; Immunomodulation; MER
Mesh:
Substances:
Year: 2017 PMID: 28251492 PMCID: PMC5332501 DOI: 10.1007/s11912-017-0579-4
Source DB: PubMed Journal: Curr Oncol Rep ISSN: 1523-3790 Impact factor: 5.075
Resistance to conventional and targeted therapies involving AXL and MER
| Resistance setting | Therapy | Cancer type | References |
|---|---|---|---|
| AXL-mediated resistance to targeted therapies | HER2 inhibition | Breast | [ |
| RAF inhibition | Melanoma | [ | |
| MEK inhibition | Breast, melanoma | [ | |
| EGFR inhibition | NSCLC | [ | |
| EGFR inhibition | HNSCC | [ | |
| Sunitinib | Renal | [ | |
| Imatinib | CML | [ | |
| Imatinib | GIST | [ | |
| ALK inhibition | Neuroblastoma | [ | |
| VEGFR inhibition | Diverse | [ | |
| PI3K/AKT inhibition | Diverse | [ | |
| FTL-3 inhibition | AML | [ | |
| AXL-mediated resistance to conventional therapies | AML | [ | |
| CML | [ | ||
| Breast | [ | ||
| Esophageal | [ | ||
| Lung | [ | ||
| Ovarian | [ | ||
| Colon | [ | ||
| MER-mediated resistance to conventional therapies | B-ALL, T-ALL | [ | |
| Glioma | [ | ||
| Lung | [ | ||
| AXL/MER-mediated resistance to immune checkpoint therapies | Breast | [ | |
| Colon | [ | ||
Fig. 1AXL and MER signaling networks in tumor cells. Schematic representing the major signaling networks activated upon binding of GAS6 with its TAM receptor in tumor cells. Affinity of GAS6 for AXL is higher than that for MER. Tyrosine docking sites in AXL are represented. Diverse adaptor proteins mediate activation of specific signaling pathways, involved in proliferation, migration, and survival. Potential direct and indirect phosphorylation biomarkers of AXL activity (pharmacodynamic markers) are indicated by yellow stars. Crosstalk between AXL and other RTKs is exemplified by the dimerization with EGFR and MET. Signaling implicated in the regulation of the immune response is depicted by blue arrows
AXL and MER inhibitors in preclinical and clinical development
| Drug | Targets | Indications | Phase |
|---|---|---|---|
| Cabozantinib | VEGFR2, MET, RET, AXL | Thyroid | MA |
| Bosutinib | BCR-ABL, SRC, AXL | CML | MA |
| Glesatinib | MET, VEGFR2, RON, AXL | NSCLCa, bladder, breast | II |
| Merestinib | RON, MET, AXL, FTL-3 | NSCLC, biliary tract | II |
| Gilteritinib | AXL, FLT3 | NSCLCa (+EGFRi), AML | II |
| BMS-777607 | AXL, RON, MET, TYRO3, FLT3 | Solid tumors | I/II |
| S49076 | MET, MER, AXL, FGFR1–3 | GBM (+VEGFi) | I/II |
| BGB324 | AXL | AML, NSCLC (+EGFRi) | I/II |
| Sitravatinib | VEGFR2, PDGFRA, AXL, MER, RET, MET, | NSCLCa, other solid tumors | I |
| DDR2, TRKA | |||
| Ningetinib | VEGFR2, MET, AXL, MER, FLT3, RON | GBM, other solid tumors | I |
| BPI-9016 M | MET, AXL | Solid tumors | I |
| TP-0903 | AXL | – | Preclinical |
| ONO-9330547 | AXL, MER | – | Preclinical |
| SLC-0211 | AXL | – | Preclinical |
| NPS-1034 | AXL, FLT3, KIT, MET, ROS1, TIE1 | – | Preclinical |
| LDC1267 | MER, TYRO3, AXL | – | Preclinical |
| UNC2250 | MER | – | Preclinical |
| UNC2025 | MER, FLT3, AXL, TYRO3 | – | Preclinical |
| RXDX106 | AXL, MER, TYRO3, MET | – | Preclinical |
Sources of information on clinical trials include ClinicalTrials.Gov (https://clinicaltrials.gov/) and TrialTrove (https://citeline.com/). Targets are listed in order of potency (most potently hit first) based on available information
MA market authorisation
aPatients selected based on high expression or genetic aberrations of AXL