Himisha Beltran1, Kenneth Eng2, Juan Miguel Mosquera3, Alexandros Sigaras4, Alessandro Romanel5, Hanna Rennert6, Myriam Kossai3, Chantal Pauli3, Bishoy Faltas7, Jacqueline Fontugne3, Kyung Park6, Jason Banfelder2, Davide Prandi5, Neel Madhukar2, Tuo Zhang2, Jessica Padilla4, Noah Greco4, Terra J McNary4, Erick Herrscher4, David Wilkes4, Theresa Y MacDonald6, Hui Xue8, Vladimir Vacic9, Anne-Katrin Emde9, Dayna Oschwald9, Adrian Y Tan4, Zhengming Chen10, Colin Collins5, Martin E Gleave5, Yuzhuo Wang5, Dimple Chakravarty6, Marc Schiffman11, Robert Kim2, Fabien Campagne12, Brian D Robinson13, David M Nanus7, Scott T Tagawa7, Jenny Z Xiang4, Agata Smogorzewska14, Francesca Demichelis15, David S Rickman3, Andrea Sboner16, Olivier Elemento2, Mark A Rubin3. 1. Institute for Precision Medicine, New York Presbyterian Hospital-Weill Cornell Medical College, New York, New York2Division of Hematology and Medical Oncology, Weill Cornell Medical College, New York, New York3Department of Medicine, Weill Cornell Medical. 2. Institute for Precision Medicine, New York Presbyterian Hospital-Weill Cornell Medical College, New York, New York4Institute for Computational Biomedicine, Weill Cornell Medical College, New York, New York. 3. Institute for Precision Medicine, New York Presbyterian Hospital-Weill Cornell Medical College, New York, New York5Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, New York. 4. Institute for Precision Medicine, New York Presbyterian Hospital-Weill Cornell Medical College, New York, New York. 5. Centre of Integrative Biology, University of Trento, Trento, Italy. 6. Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, New York. 7. Division of Hematology and Medical Oncology, Weill Cornell Medical College, New York, New York. 8. Vancouver Prostate Centre, University of British Columbia, Vancouver, Canada. 9. New York Genome Center, New York, New York. 10. Department of Biostatistics and Epidemiology, Weill Cornell Medical College, New York, New York. 11. Department of Radiology, Weill Cornell Medical College, New York, New York. 12. Institute for Computational Biomedicine, Weill Cornell Medical College, New York, New York11Department of Physiology and Biophysics, Weill Cornell Medical College, New York, New York. 13. Institute for Precision Medicine, New York Presbyterian Hospital-Weill Cornell Medical College, New York, New York6Centre of Integrative Biology, University of Trento, Trento, Italy. 14. Rockefeller University, New York, New York. 15. Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, New York6Centre of Integrative Biology, University of Trento, Trento, Italy. 16. Institute for Precision Medicine, New York Presbyterian Hospital-Weill Cornell Medical College, New York, New York4Institute for Computational Biomedicine, Weill Cornell Medical College, New York, New York5Department of Pathology and Laboratory Medicine.
Abstract
IMPORTANCE: Understanding molecular mechanisms of response and resistance to anticancer therapies requires prospective patient follow-up and clinical and functional validation of both common and low-frequency mutations. We describe a whole-exome sequencing (WES) precision medicine trial focused on patients with advanced cancer. OBJECTIVE: To understand how WES data affect therapeutic decision making in patients with advanced cancer and to identify novel biomarkers of response. DESIGN, SETTING, AND PATIENTS: Patients with metastatic and treatment-resistant cancer were prospectively enrolled at a single academic center for paired metastatic tumor and normal tissue WES during a 19-month period (February 2013 through September 2014). A comprehensive computational pipeline was used to detect point mutations, indels, and copy number alterations. Mutations were categorized as category 1, 2, or 3 on the basis of actionability; clinical reports were generated and discussed in precision tumor board. Patients were observed for 7 to 25 months for correlation of molecular information with clinical response. MAIN OUTCOMES AND MEASURES: Feasibility, use of WES for decision making, and identification of novel biomarkers. RESULTS: A total of 154 tumor-normal pairs from 97 patients with a range of metastatic cancers were sequenced, with a mean coverage of 95X and 16 somatic alterations detected per patient. In total, 16 mutations were category 1 (targeted therapy available), 98 were category 2 (biologically relevant), and 1474 were category 3 (unknown significance). Overall, WES provided informative results in 91 cases (94%), including alterations for which there is an approved drug, there are therapies in clinical or preclinical development, or they are considered drivers and potentially actionable (category 1-2); however, treatment was guided in only 5 patients (5%) on the basis of these recommendations because of access to clinical trials and/or off-label use of drugs. Among unexpected findings, a patient with prostate cancer with exceptional response to treatment was identified who harbored a somatic hemizygous deletion of the DNA repair gene FANCA and putative partial loss of function of the second allele through germline missense variant. Follow-up experiments established that loss of FANCA function was associated with platinum hypersensitivity both in vitro and in patient-derived xenografts, thus providing biologic rationale and functional evidence for his extreme clinical response. CONCLUSIONS AND RELEVANCE: The majority of advanced, treatment-resistant tumors across tumor types harbor biologically informative alterations. The establishment of a clinical trial for WES of metastatic tumors with prospective follow-up of patients can help identify candidate predictive biomarkers of response.
IMPORTANCE: Understanding molecular mechanisms of response and resistance to anticancer therapies requires prospective patient follow-up and clinical and functional validation of both common and low-frequency mutations. We describe a whole-exome sequencing (WES) precision medicine trial focused on patients with advanced cancer. OBJECTIVE: To understand how WES data affect therapeutic decision making in patients with advanced cancer and to identify novel biomarkers of response. DESIGN, SETTING, AND PATIENTS: Patients with metastatic and treatment-resistant cancer were prospectively enrolled at a single academic center for paired metastatic tumor and normal tissue WES during a 19-month period (February 2013 through September 2014). A comprehensive computational pipeline was used to detect point mutations, indels, and copy number alterations. Mutations were categorized as category 1, 2, or 3 on the basis of actionability; clinical reports were generated and discussed in precision tumor board. Patients were observed for 7 to 25 months for correlation of molecular information with clinical response. MAIN OUTCOMES AND MEASURES: Feasibility, use of WES for decision making, and identification of novel biomarkers. RESULTS: A total of 154 tumor-normal pairs from 97 patients with a range of metastatic cancers were sequenced, with a mean coverage of 95X and 16 somatic alterations detected per patient. In total, 16 mutations were category 1 (targeted therapy available), 98 were category 2 (biologically relevant), and 1474 were category 3 (unknown significance). Overall, WES provided informative results in 91 cases (94%), including alterations for which there is an approved drug, there are therapies in clinical or preclinical development, or they are considered drivers and potentially actionable (category 1-2); however, treatment was guided in only 5 patients (5%) on the basis of these recommendations because of access to clinical trials and/or off-label use of drugs. Among unexpected findings, a patient with prostate cancer with exceptional response to treatment was identified who harbored a somatic hemizygous deletion of the DNA repair gene FANCA and putative partial loss of function of the second allele through germline missense variant. Follow-up experiments established that loss of FANCA function was associated with platinumhypersensitivity both in vitro and in patient-derived xenografts, thus providing biologic rationale and functional evidence for his extreme clinical response. CONCLUSIONS AND RELEVANCE: The majority of advanced, treatment-resistant tumors across tumor types harbor biologically informative alterations. The establishment of a clinical trial for WES of metastatic tumors with prospective follow-up of patients can help identify candidate predictive biomarkers of response.
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