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Research Article

Mutation-oriented profiling of autoinhibitory kinase conformations predicts RAF inhibitor efficacies

Johanna E. Mayrhofer, View ORCID ProfileFlorian Enzler, View ORCID ProfileAndreas Feichtner, View ORCID ProfileRuth Röck, Jakob Fleischmann, Andrea Raffeiner, View ORCID ProfilePhilipp Tschaikner, Egon Ogris, View ORCID ProfileRoland G. Huber, View ORCID ProfileMarkus Hartl, Rainer Schneider, View ORCID ProfileJakob Troppmair, View ORCID ProfileOmar Torres-Quesada, and View ORCID ProfileEduard Stefan
PNAS December 8, 2020 117 (49) 31105-31113; first published November 23, 2020; https://doi.org/10.1073/pnas.2012150117
Johanna E. Mayrhofer
aInstitute of Biochemistry and Center for Molecular Biosciences, University of Innsbruck, 6020 Innsbruck, Austria;
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Florian Enzler
aInstitute of Biochemistry and Center for Molecular Biosciences, University of Innsbruck, 6020 Innsbruck, Austria;
bDaniel Swarovski Research Laboratory, Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, 6020 Innsbruck, Austria;
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  • ORCID record for Florian Enzler
Andreas Feichtner
aInstitute of Biochemistry and Center for Molecular Biosciences, University of Innsbruck, 6020 Innsbruck, Austria;
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  • ORCID record for Andreas Feichtner
Ruth Röck
aInstitute of Biochemistry and Center for Molecular Biosciences, University of Innsbruck, 6020 Innsbruck, Austria;
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  • ORCID record for Ruth Röck
Jakob Fleischmann
aInstitute of Biochemistry and Center for Molecular Biosciences, University of Innsbruck, 6020 Innsbruck, Austria;
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Andrea Raffeiner
aInstitute of Biochemistry and Center for Molecular Biosciences, University of Innsbruck, 6020 Innsbruck, Austria;
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Philipp Tschaikner
aInstitute of Biochemistry and Center for Molecular Biosciences, University of Innsbruck, 6020 Innsbruck, Austria;
cInstitute of Molecular Biology, University of Innsbruck, 6020 Innsbruck, Austria;
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  • ORCID record for Philipp Tschaikner
Egon Ogris
dCenter for Medical Biochemistry, Max Perutz Labs, Medical University of Vienna, A-1030 Vienna, Austria;
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Roland G. Huber
eBioinformatics Institute, Agency for Science Technology and Research, 138671 Singapore, Singapore
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Markus Hartl
aInstitute of Biochemistry and Center for Molecular Biosciences, University of Innsbruck, 6020 Innsbruck, Austria;
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  • ORCID record for Markus Hartl
Rainer Schneider
aInstitute of Biochemistry and Center for Molecular Biosciences, University of Innsbruck, 6020 Innsbruck, Austria;
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Jakob Troppmair
bDaniel Swarovski Research Laboratory, Department of Visceral, Transplant and Thoracic Surgery, Medical University of Innsbruck, 6020 Innsbruck, Austria;
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  • ORCID record for Jakob Troppmair
Omar Torres-Quesada
aInstitute of Biochemistry and Center for Molecular Biosciences, University of Innsbruck, 6020 Innsbruck, Austria;
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  • ORCID record for Omar Torres-Quesada
  • For correspondence: omar.quesada@uibk.ac.at eduard.stefan@uibk.ac.at
Eduard Stefan
aInstitute of Biochemistry and Center for Molecular Biosciences, University of Innsbruck, 6020 Innsbruck, Austria;
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  • ORCID record for Eduard Stefan
  • For correspondence: omar.quesada@uibk.ac.at eduard.stefan@uibk.ac.at
  1. Edited by Melanie H. Cobb, University of Texas Southwestern Medical Center, Dallas, TX, and approved October 14, 2020 (received for review June 17, 2020)

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Significance

The pharmaceutical targeting of mutated BRAF has shown promising clinical outcomes in patients with melanoma. However, more than 300 reported BRAF patient mutations and the occurrence of a kinase-drug resistance mechanism hamper patient-oriented therapies. We have developed an extendable and cell-based kinase conformation reporter platform (KinCon) to predict and compare the effect of kinase drugs. We systematically evaluated drug efficacies by assessing KinCon reporter dynamics in response to different drugs and patient mutations. Our findings suggest that FDA-approved melanoma inhibitors may have the potential to block non-V600E–mutated BRAF activities also in non–small-cell lung cancers (NSCLC). We assume that widespread analyses of KinCon:drug interactions may assist in the future in identifying patient mutation–specific and thus more effective kinase inhibitors.

Abstract

Kinase-targeted therapies have the potential to improve the survival of patients with cancer. However, the cancer-specific spectrum of kinase alterations exhibits distinct functional properties and requires mutation-oriented drug treatments. Besides post-translational modifications and diverse intermolecular interactions of kinases, it is the distinct disease mutation which reshapes full-length kinase conformations, affecting their activity. Oncokinase mutation profiles differ between cancer types, as it was shown for BRAF in melanoma and non–small-cell lung cancers. Here, we present the target-oriented application of a kinase conformation (KinCon) reporter platform for live-cell measurements of autoinhibitory kinase activity states. The bioluminescence-based KinCon biosensor allows the tracking of conformation dynamics of full-length kinases in intact cells and real time. We show that the most frequent BRAF cancer mutations affect kinase conformations and thus the engagement and efficacy of V600E-specific BRAF inhibitors (BRAFi). We illustrate that the patient mutation harboring KinCon reporters display differences in the effectiveness of the three clinically approved BRAFi vemurafenib, encorafenib, and dabrafenib and the preclinical paradox breaker PLX8394. We confirmed KinCon-based drug efficacy predictions for BRAF mutations other than V600E in proliferation assays using patient-derived lung cancer cell lines and by analyzing downstream kinase signaling. The systematic implementation of such conformation reporters will allow to accelerate the decision process for the mutation-oriented RAF-kinase cancer therapy. Moreover, we illustrate that the presented kinase reporter concept can be extended to other kinases which harbor patient mutations. Overall, KinCon profiling provides additional mechanistic insights into full-length kinase functions by reporting protein–protein interaction (PPI)-dependent, mutation-specific, and drug-driven changes of kinase activity conformations.

  • precision medicine
  • biosensor
  • drug efficacy prediction
  • mutant BRAF
  • lung cancer

Footnotes

  • ↵1J.E.M. and F.E. contributed equally to this work.

  • ↵2To whom correspondence may be addressed. Email: omar.quesada{at}uibk.ac.at or eduard.stefan{at}uibk.ac.at.
  • Author contributions: E.S. designed research; J.E.M., F.E., A.F., R.R., J.F., A.R., P.T., R.G.H., M.H., and O.T.-Q. performed research; E.O. and J.T. contributed new reagents/analytic tools; J.E.M., F.E., A.F., R.R., J.F., A.R., P.T., E.O., R.G.H., M.H., R.S., J.T., O.T.-Q., and E.S. analyzed data; and E.S. wrote the paper.

  • Competing interest statement: Aspects of the present study are subject to pending patent applications.

  • This article is a PNAS Direct Submission.

  • This article contains supporting information online at https://www.pnas.org/lookup/suppl/doi:10.1073/pnas.2012150117/-/DCSupplemental.

Data Availability.

Data supporting the findings of this study are available within the article and its SI Appendix files.

  • Copyright © 2020 the Author(s). Published by PNAS.

This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

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Mutation-oriented profiling of autoinhibitory kinase conformations predicts RAF inhibitor efficacies
Johanna E. Mayrhofer, Florian Enzler, Andreas Feichtner, Ruth Röck, Jakob Fleischmann, Andrea Raffeiner, Philipp Tschaikner, Egon Ogris, Roland G. Huber, Markus Hartl, Rainer Schneider, Jakob Troppmair, Omar Torres-Quesada, Eduard Stefan
Proceedings of the National Academy of Sciences Dec 2020, 117 (49) 31105-31113; DOI: 10.1073/pnas.2012150117

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Mutation-oriented profiling of autoinhibitory kinase conformations predicts RAF inhibitor efficacies
Johanna E. Mayrhofer, Florian Enzler, Andreas Feichtner, Ruth Röck, Jakob Fleischmann, Andrea Raffeiner, Philipp Tschaikner, Egon Ogris, Roland G. Huber, Markus Hartl, Rainer Schneider, Jakob Troppmair, Omar Torres-Quesada, Eduard Stefan
Proceedings of the National Academy of Sciences Dec 2020, 117 (49) 31105-31113; DOI: 10.1073/pnas.2012150117
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