1. Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients
- Author
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Helen Won, James J. Harding, David S. Klimstra, Andrea Cercek, Nitya Raj, Emmet Jordan, Darren R. Feldman, Michael F. Berger, Barry S. Taylor, Meera Hameed, Jacklyn Casanova, Jesse Galle, Meera Prasad, Sumit Middha, Pedram Razavi, Philip Jonsson, Jaclyn F. Hechtman, Ritika Kundra, David B. Solit, Yelena Y. Janjigian, Jonathan A. Coleman, Lisa Stewart, Antonio Omuro, Stacy B. Thomas, Anoop Balakrishnan Rema, Snjezana Dogan, Preethi Srinivasan, Ryan Ptashkin, Dara S. Ross, Mrinal M. Gounder, Bernard H. Bochner, Dalicia N. Reales, Hikmat Al-Ahmadie, Michael H. Eubank, Hsiao-Wei Chen, Mustafa H Syed, Donavan T. Cheng, Jinjuan Yao, Gowtham Jayakumaran, Ryma Benayed, David M. Hyman, Deborah DeLair, Howard I. Scher, Sean M. Devlin, Justyna Sadowska, Rona Yaeger, Anna M. Varghese, Matthew D. Hellmann, Matthew T. Chang, Zachary J. Heins, José Baselga, Tara Soumerai, Alexander N. Shoushtari, Ahmet Zehir, Alison M. Schram, Debyani Chakravarty, Efsevia Vakiani, Leonard B. Saltz, Maria E. Arcila, Gregory J. Riely, Gopa Iyer, Ruben Bacares, Tessara Baldi, Hyunjae R. Kim, Robert Durany, Sarah Phillips, Maeve A. Lowery, Mark E. Robson, A. Ari Hakimi, Niedzica Camacho, Jiaojiao Wang, Khedoudja Nafa, Hongxin Zhang, Marc Ladanyi, Alexander V Penson, Iwona Kiecka, Aijazuddin Syed, Jianjiong Gao, Jonathan Wills, Raghu Chandramohan, Nikolaus Schultz, Kerry Mullaney, Laetitia Borsu, Diana Mandelker, Julie B Son, Wassim Abida, Ciara Marie Kelly, Benjamin Gross, Adam Abeshouse, Roy Cambria, Luc G. T. Morris, Neerav Shukla, Paul Sabbatini, Zhen Y Liu, Ronak Shah, Anna Razumova, Abhinita Mohanty, Stuart Gardos, David Barron, and Angelica Ochoa
- Subjects
Male ,0301 basic medicine ,Sequence analysis ,Genomics ,Computational biology ,Biology ,Gene mutation ,Bioinformatics ,General Biochemistry, Genetics and Molecular Biology ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,Neoplasms ,Biomarkers, Tumor ,Data Mining ,Humans ,Prospective Studies ,Neoplasm Metastasis ,Prospective cohort study ,Gene ,High-Throughput Nucleotide Sequencing ,DNA, Neoplasm ,Sequence Analysis, DNA ,General Medicine ,3. Good health ,Clinical trial ,030104 developmental biology ,030220 oncology & carcinogenesis ,Mutation ,Feasibility Studies ,Female ,Normal sequence ,Cohort study - Abstract
Tumor molecular profiling is a fundamental component of precision oncology, enabling the identification of genomic alterations in genes and pathways that can be targeted therapeutically. The existence of recurrent targetable alterations across distinct histologically defined tumor types, coupled with an expanding portfolio of molecularly targeted therapies, demands flexible and comprehensive approaches to profile clinically relevant genes across the full spectrum of cancers. We established a large-scale, prospective clinical sequencing initiative using a comprehensive assay, MSK-IMPACT, through which we have compiled tumor and matched normal sequence data from a unique cohort of more than 10,000 patients with advanced cancer and available pathological and clinical annotations. Using these data, we identified clinically relevant somatic mutations, novel noncoding alterations, and mutational signatures that were shared by common and rare tumor types. Patients were enrolled on genomically matched clinical trials at a rate of 11%. To enable discovery of novel biomarkers and deeper investigation into rare alterations and tumor types, all results are publicly accessible.
- Published
- 2017
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