High-throughput oncogene mutation profiling in human cancer

被引:840
|
作者
Thomas, Roman K.
Baker, Alissa C.
DeBiasi, Ralph M.
Winckler, Wendy
LaFramboise, Thomas
Lin, William M.
Wang, Meng
Feng, Whei
Zander, Thomas
MacConnaill, Laura E.
Lee, Jeffrey C.
Nicoletti, Rick
Hatton, Charlie
Goyette, Mary
Girard, Luc
Majmudar, Kuntal
Ziaugra, Liuda
Wong, Kwok-Kin
Gabriel, Stacey
Beroukhim, Rameen
Peyton, Michael
Barretina, Jordi
Dutt, Amit
Emery, Caroline
Greulich, Heidi
Shah, Kinjal
Sasaki, Hidefumi
Gazdar, Adi
Minna, John
Armstrong, Scott A.
Mellinghoff, Ingo K.
Hodi, F. Stephen
Dranoff, Glenn
Mischel, Paul S.
Cloughesy, Tim F.
Nelson, Stan F.
Liau, Linda M.
Mertz, Kirsten
Rubin, Mark A.
Moch, Holger
Loda, Massimo
Catalona, William
Fletcher, Jonathan
Signoretti, Sabina
Kaye, Frederic
Anderson, Kenneth C.
Demetri, George D.
Dummer, Reinhard
Wagner, Stephan
Herlyn, Meenhard
机构
[1] Harvard Univ, Sch Med, Dana Farber Canc Inst, Dept Med Oncol, Boston, MA 02115 USA
[2] MIT, Broad Inst, Cambridge, MA 02142 USA
[3] Harvard Univ, Broad Inst, Cambridge, MA 02142 USA
[4] Univ Texas, SW Med Ctr, Hamon Ctr Therapeut Oncol Res, Dallas, TX 75390 USA
[5] Nagoya City Univ, Sch Med, Dept Surg 2, Nagoya, Aichi 4678601, Japan
[6] Univ Texas, SW Med Ctr, Dept Pathol, Dallas, TX 75390 USA
[7] Univ Texas, SW Med Ctr, Dept Internal Med, Dallas, TX 75390 USA
[8] Univ Texas, SW Med Ctr, Dept Pharmacol, Dallas, TX 75390 USA
[9] Harvard Univ, Sch Med, Dana Farber Canc Inst, Dept Pediat Oncol, Boston, MA 02115 USA
[10] Univ Calif Los Angeles, David Geffen Sch Med, Dept Mol & Med Pharmacol & Med, Los Angeles, CA 90095 USA
[11] Univ Calif Los Angeles, David Geffen Sch Med, Dept Pathol, Los Angeles, CA 90095 USA
[12] Univ Calif Los Angeles, David Geffen Sch Med, Dept Neurol, Los Angeles, CA 90095 USA
[13] Univ Calif Los Angeles, David Geffen Sch Med, Dept Human Genet, Los Angeles, CA 90095 USA
[14] Univ Calif Los Angeles, David Geffen Sch Med, Dept Neurosurg, Los Angeles, CA 90095 USA
[15] Harvard Univ, Brigham & Womens Hosp, Sch Med, Dept Pathol, Boston, MA 02115 USA
[16] Univ Zurich Hosp, Inst Surg Pathol, CH-8091 Zurich, Switzerland
[17] Northwestern Univ, Feinberg Sch Med, Chicago, IL 60637 USA
[18] NCI, Genet Branch, Ctr Canc Res, Bethesda, MD 20892 USA
[19] USN, Natl Med Ctr, Bethesda, MD 20084 USA
[20] Dana Farber Canc Inst, Ludwig Ctr Canc Res, Boston, MA 02115 USA
[21] Univ Zurich Hosp, Dept Dermatol, CH-8091 Zurich, Switzerland
[22] Med Univ Vienna, Austrian Acad Sci, Dept Dermatol, Div Immunol Allergy & Infect Dis, A-1090 Vienna, Austria
[23] Austrian Acad Sci, Ctr Mol Med, A-1090 Vienna, Austria
[24] Wistar Inst Anat & Biol, Philadelphia, PA 19104 USA
[25] Novartis Inst BioMed Res, Cambridge, MA 02139 USA
[26] Harvard Univ, Sch Med, Dept Pathol, Boston, MA 02115 USA
[27] Harvard Univ, Sch Med, Dana Farber Canc Inst, Ctr Canc Genome Discovery, Boston, MA 02115 USA
[28] Harvard Univ, Sch Med, Dana Farber Canc Inst, Melanoma Program Med Oncol, Boston, MA 02115 USA
[29] Max Planck Soc, Max Planck Inst Neurol Res, Klaus Joachim Zulch Labs, D-50931 Cologne, Germany
[30] Univ Cologne, Fac Med, D-50931 Cologne, Germany
[31] Univ Cologne, Ctr Integrated Oncol, D-50931 Cologne, Germany
[32] Univ Cologne, Dept Internal Med 1, D-50931 Cologne, Germany
关键词
D O I
10.1038/ng1975
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Systematic efforts are underway to decipher the genetic changes associated with tumor initiation and progression(1,2). However, widespread clinical application of this information is hampered by an inability to identify critical genetic events across the spectrum of human tumors with adequate sensitivity and scalability. Here, we have adapted high-throughput genotyping to query 238 known oncogene mutations across 1,000 human tumor samples. This approach established robust mutation distributions spanning 17 cancer types. Of 17 oncogenes analyzed, we found 14 to be mutated at least once, and 298 (30%) samples carried at least one mutation. Moreover, we identified previously unrecognized oncogene mutations in several tumor types and observed an unexpectedly high number of co-occurring mutations. These results offer a new dimension in tumor genetics, where mutations involving multiple cancer genes may be interrogated simultaneously and in 'real time' to guide cancer classification and rational therapeutic intervention.
引用
收藏
页码:347 / 351
页数:5
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