Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients.
Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients.
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DOI:
10.1038/nm.4333
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发表时间:
2017-06
期刊:
影响因子:
82.9
通讯作者:
Berger MF
中科院分区:
文献类型:
--
作者:
Zehir A;Benayed R;Shah RH;Syed A;Middha S;Kim HR;Srinivasan P;Gao J;Chakravarty D;Devlin SM;Hellmann MD;Barron DA;Schram AM;Hameed M;Dogan S;Ross DS;Hechtman JF;DeLair DF;Yao J;Mandelker DL;Cheng DT;Chandramohan R;Mohanty AS;Ptashkin RN;Jayakumaran G;Prasad M;Syed MH;Rema AB;Liu ZY;Nafa K;Borsu L;Sadowska J;Casanova J;Bacares R;Kiecka IJ;Razumova A;Son JB;Stewart L;Baldi T;Mullaney KA;Al-Ahmadie H;Vakiani E;Abeshouse AA;Penson AV;Jonsson P;Camacho N;Chang MT;Won HH;Gross BE;Kundra R;Heins ZJ;Chen HW;Phillips S;Zhang H;Wang J;Ochoa A;Wills J;Eubank M;Thomas SB;Gardos SM;Reales DN;Galle J;Durany R;Cambria R;Abida W;Cercek A;Feldman DR;Gounder MM;Hakimi AA;Harding JJ;Iyer G;Janjigian YY;Jordan EJ;Kelly CM;Lowery MA;Morris LGT;Omuro AM;Raj N;Razavi P;Shoushtari AN;Shukla N;Soumerai TE;Varghese AM;Yaeger R;Coleman J;Bochner B;Riely GJ;Saltz LB;Scher HI;Sabbatini PJ;Robson ME;Klimstra DS;Taylor BS;Baselga J;Schultz N;Hyman DM;Arcila ME;Solit DB;Ladanyi M;Berger MF
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 significant genes across the full spectrum of cancers. We established a large-scale, prospective clinical sequencing initiative utilizing a comprehensive assay, MSK-IMPACT, through which we have compiled matched tumor and 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 non-coding alterations, and mutational signatures that were shared among 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.