S M Dieter1,2, C Heining1,2,3, A Agaimy4, D Huebschmann5,6,7, D Bonekamp8, B Hutter2,9, K R Ehrenberg1,10, M Fröhlich2,9, M Schlesner5, C Scholl1,2, H-P Schlemmer8, S Wolf11, A Mavratzas10, C S Jung12, S Gröschel1,2,3, C von Kalle1,2,3,13, R Eils5,6,13, B Brors2,9, R Penzel14, M Kriegsmann14, D E Reuss15, P Schirmacher2,14, A Stenzinger14,16, P A Federspil17, W Weichert14,18,19, H Glimm1,2,3, S Fröhling1,2,3. 1. Department of Translational Oncology, National Center for Tumor Diseases (NCT) Heidelberg and German Cancer Research Center (DKFZ), Heidelberg, Germany. 2. German Cancer Consortium (DKTK), Heidelberg, Germany. 3. Section for Personalized Oncology, Heidelberg University Hospital, Heidelberg, Germany. 4. Institute of Pathology, Erlangen University Hospital, Erlangen, Germany. 5. Division of Theoretical Bioinformatics, DKFZ, Heidelberg, Germany. 6. Department of Bioinformatics and Functional Genomics, Institute of Pharmacy and Molecular Biotechnology, and BioQuant, Heidelberg University, Heidelberg, Germany. 7. Department of Pediatric Immunology, Hematology and Oncology, Heidelberg University Hospital, Heidelberg, Germany. 8. Division of Radiology, DKFZ, Heidelberg, Germany. 9. Division of Applied Bioinformatics, DKFZ and NCT Heidelberg, Heidelberg, Germany. 10. Department of Medical Oncology, NCT Heidelberg, and Department of Internal Medicine VI, Heidelberg University Hospital, Heidelberg, Germany. 11. Genomics and Proteomics Core Facility, DKFZ, Heidelberg, Germany. 12. Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany. 13. DKFZ-Heidelberg Center for Personalized Oncology (HIPO), Heidelberg, Germany. 14. Institute of Pathology, Heidelberg University, Heidelberg, Germany. 15. Department of Neuropathology, Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany. 16. Department of Pathology, Center for Integrated Diagnostics, Massachusetts General Hospital, Harvard Medical School, Boston, USA. 17. Department of Otorhinolaryngology, Heidelberg University Hospital, Heidelberg, Germany. 18. Institute of Pathology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany. 19. DKTK, Munich, Germany.
Abstract
Background: Sinonasal carcinomas (SNCs) comprise various rare tumor types that are characterized by marked histologic diversity and largely unknown molecular profiles, yet share an overall poor prognosis owing to an aggressive clinical course and frequent late-stage diagnosis. The lack of effective systemic therapies for locally advanced or metastatic SNC poses a major challenge to therapeutic decision making for individual patients. We here aimed to identify actionable genetic alterations in a patient with metastatic SNC whose tumor, despite all diagnostic efforts, could not be assigned to any known SNC category and was refractory to multimodal therapy. Patients and methods: We used whole-exome and transcriptome sequencing to identify a KIT exon 11 mutation (c.1733_1735del, p.D579del) as potentially druggable target in this patient and carried out cancer hotspot panel sequencing to detect secondary resistance-conferring mutations in KIT. Furthermore, as a step towards clinical exploitation of the recently described signatures of mutational processes in cancer genomes, we established and applied a novel bioinformatics algorithm that enables supervised analysis of the mutational catalogs of individual tumors. Results: Molecularly guided treatment with imatinib in analogy to the management of gastrointestinal stromal tumor (GIST) resulted in a dramatic and durable response with remission of nearly all tumor manifestations, indicating a dominant driver function of mutant KIT in this tumor. KIT dependency was further validated by a secondary KIT exon 17 mutation (c.2459_2462delATTCinsG, p.D820_S821delinsG) that was detected upon tumor progression after 10 months of imatinib treatment and provided a rationale for salvage therapy with regorafenib, which has activity against KIT exon 11/17 mutant GIST. Conclusions: These observations highlight the potential of unbiased genomic profiling for uncovering the vulnerabilities of individual malignancies, particularly in rare and unclassifiable tumors, and underscore that KIT exon 11 mutations represent tractable therapeutic targets across different histologies.
Background: Sinonasal carcinomas (SNCs) comprise various rare tumor types that are characterized by marked histologic diversity and largely unknown molecular profiles, yet share an overall poor prognosis owing to an aggressive clinical course and frequent late-stage diagnosis. The lack of effective systemic therapies for locally advanced or metastatic SNC poses a major challenge to therapeutic decision making for individual patients. We here aimed to identify actionable genetic alterations in a patient with metastatic SNC whose tumor, despite all diagnostic efforts, could not be assigned to any known SNC category and was refractory to multimodal therapy. Patients and methods: We used whole-exome and transcriptome sequencing to identify a KIT exon 11 mutation (c.1733_1735del, p.D579del) as potentially druggable target in this patient and carried out cancer hotspot panel sequencing to detect secondary resistance-conferring mutations in KIT. Furthermore, as a step towards clinical exploitation of the recently described signatures of mutational processes in cancer genomes, we established and applied a novel bioinformatics algorithm that enables supervised analysis of the mutational catalogs of individual tumors. Results: Molecularly guided treatment with imatinib in analogy to the management of gastrointestinal stromal tumor (GIST) resulted in a dramatic and durable response with remission of nearly all tumor manifestations, indicating a dominant driver function of mutant KIT in this tumor. KIT dependency was further validated by a secondary KIT exon 17 mutation (c.2459_2462delATTCinsG, p.D820_S821delinsG) that was detected upon tumor progression after 10 months of imatinib treatment and provided a rationale for salvage therapy with regorafenib, which has activity against KIT exon 11/17 mutant GIST. Conclusions: These observations highlight the potential of unbiased genomic profiling for uncovering the vulnerabilities of individual malignancies, particularly in rare and unclassifiable tumors, and underscore that KIT exon 11 mutations represent tractable therapeutic targets across different histologies.
Authors: Priya Chudasama; Sadaf S Mughal; Mathijs A Sanders; Daniel Hübschmann; Inn Chung; Katharina I Deeg; Siao-Han Wong; Sophie Rabe; Mario Hlevnjak; Marc Zapatka; Aurélie Ernst; Kortine Kleinheinz; Matthias Schlesner; Lina Sieverling; Barbara Klink; Evelin Schröck; Remco M Hoogenboezem; Bernd Kasper; Christoph E Heilig; Gerlinde Egerer; Stephan Wolf; Christof von Kalle; Roland Eils; Albrecht Stenzinger; Wilko Weichert; Hanno Glimm; Stefan Gröschel; Hans-Georg Kopp; Georg Omlor; Burkhard Lehner; Sebastian Bauer; Simon Schimmack; Alexis Ulrich; Gunhild Mechtersheimer; Karsten Rippe; Benedikt Brors; Barbara Hutter; Marcus Renner; Peter Hohenberger; Claudia Scholl; Stefan Fröhling Journal: Nat Commun Date: 2018-01-10 Impact factor: 14.919
Authors: Andres Stucky; Parish P Sedghizadeh; Susan Mahabady; Xuelian Chen; Cheng Zhang; Gang Zhang; Xi Zhang; Jiang F Zhong Journal: Oncotarget Date: 2017-05-19
Authors: Peter Horak; Joachim Weischenfeldt; Gunhild von Amsberg; Burkhard Beyer; Andreas Schütte; Sebastian Uhrig; Laura Gieldon; Barbara Klink; Lars Feuerbach; Daniel Hübschmann; Simon Kreutzfeldt; Christoph Heining; Sebastian Maier; Barbara Hutter; Roland Penzel; Matthias Schlesner; Roland Eils; Guido Sauter; Albrecht Stenzinger; Benedikt Brors; Evelin Schröck; Hanno Glimm; Stefan Fröhling; Thorsten Schlomm Journal: Cold Spring Harb Mol Case Stud Date: 2019-04-01
Authors: Milena Urbini; Valentina Indio; Annalisa Astolfi; Giuseppe Tarantino; Salvatore Lorenzo Renne; Silvana Pilotti; Angelo Paolo Dei Tos; Roberta Maestro; Paola Collini; Margherita Nannini; Maristella Saponara; Ludovica Murrone; Gian Paolo Dagrada; Chiara Colombo; Alessandro Gronchi; Andrea Pession; Paolo Giovanni Casali; Silvia Stacchiotti; Maria Abbondanza Pantaleo Journal: Int J Mol Sci Date: 2018-06-23 Impact factor: 5.923