Activity-based kinase profiling of approved tyrosine kinase inhibitors.

The specificities of nine approved tyrosine kinase inhibitors (imatinib, dasatinib, nilotinib, gefitinib, erlotinib, lapatinib, sorafenib, sunitinib, and pazopanib) were determined by activity-based kinase profiling using a large panel of human recombinant active kinases. This panel consisted of 79 tyrosine kinases, 199 serine/threonine kinases, three lipid kinases, and 29 disease-relevant mutant kinases. Many potential targets of each inhibitor were identified by kinase profiling at the K(m) for ATP. In addition, profiling at a physiological ATP concentration (1 mm) was carried out, and the IC(50) values of the inhibitors against each kinase were compared with the estimated plasma-free concentration (calculated from published pharmacokinetic parameters of plasma C(trough) and C(max) values). This analysis revealed that the approved kinase inhibitors were well optimized for their target kinases. This profiling also implicates activity at particular off-target kinases in drug side effects. Thus, large-scale kinase profiling at both K(m) and physiological ATP concentrations could be useful in characterizing the targets and off-targets of kinase inhibitors.

Comparative kinase and cancer cell panel profiling of kinase inhibitors approved for clinical use from 2018 to 2020.

During the last two decades, kinase inhibitors have become the major drug class for targeted cancer therapy. Although the number of approved kinase inhibitors increases rapidly, comprehensive in vitro profiling and comparison of inhibitor activities is often lacking in the public domain. Here we report the extensive profiling and comparison of 21 kinase inhibitors approved by the FDA for oncology indications since June 2018 and 13 previously approved comparators on panels of 255 biochemical kinase assays and 134 cancer cell line viability assays. Comparison of the cellular inhibition profiles of the EGFR inhibitors gefitinib, dacomitinib, and osimertinib identified the uncommon EGFR p.G719S mutation as a common response marker for EGFR inhibitors. Additionally, the FGFR inhibitors erdafitinib, infigratinib, and pemigatinib potently inhibited the viability of cell lines which harbored oncogenic alterations in FGFR1-3, irrespective of the specific clinical indications of the FGFR inhibitors. These results underscore the utility of in vitro kinase inhibitor profiling in cells for identifying new potential stratification markers for patient selection. Furthermore, comparison of the in vitro inhibition profiles of the RET inhibitors pralsetinib and selpercatinib revealed they had very similar biochemical and cellular selectivity. As an exception, an NTRK3 fusion-positive cell line was potently inhibited by pralsetinib but not by selpercatinib, which could be explained by the targeting of TRK kinases in biochemical assays by pralsetinib but not selpercatinib. This illustrates that unexpected differences in cellular activities between inhibitors that act through the same primary target can be explained by subtle differences in biochemical targeting. Lastly, FLT3-mutant cell lines were responsive to both FLT3 inhibitors gilteritinib and midostaurin, and the PI3K inhibitor duvelisib. Biochemical profiling revealed that the FLT3 and PI3K inhibitors targeted distinct kinases, indicating that unique dependencies can be identified by combined biochemical and cellular profiling of kinase inhibitors. This study provides the first large scale kinase assay or cell panel profiling study for newly approved kinase inhibitors, and shows that comprehensive in vitro profiling of kinase inhibitors can provide rationales for therapy selection and indication expansion of approved kinase inhibitors.

Characterization of kinase inhibitors using different phosphorylation states of colony stimulating factor-1 receptor tyrosine kinase.

It is known that some kinase inhibitors are sensitive to the phosphorylation state of the kinase, and therefore those compounds can discriminate between a phosphorylated and unphosphorylated protein. In this study, we prepared two colony stimulating factor-1 receptor (CSF-1R) tyrosine kinase proteins: one highly phosphorylated by autophosphorylation and the other dephosphorylated by phosphatase treatment. These kinases were subjected to an activity-based assay to investigate the effect of their phosphorylation state on the potency of several kinase inhibitors. Dasatinib, sorafenib, PD173074 and staurosporine showed similar inhibition against different phosphorylation states of CSF-1R, but pazopanib, sunitinib, GW2580 and imatinib showed more potent inhibition against dephosphorylated CSF-1R. Binding analysis of the inhibitors to the two different phosphorylation forms of CSF-1R, using surface plasmon resonance spectrometry, revealed that staurosporine bound to both forms with similar affinity, but sunitinib bound to the dephosphorylated form with higher affinity. Thus, these observations suggest that sunitinib binds preferentially to the inactive form, preventing the activation of CSF-1R. Screening against different activation states of kinases should be an important approach for prioritizing compounds and should facilitate inhibitor design.