High-throughput oncogene mutation profiling in human cancer

被引:0
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作者
Roman K Thomas
Alissa C Baker
Ralph M DeBiasi
Wendy Winckler
Thomas LaFramboise
William M Lin
Meng Wang
Whei Feng
Thomas Zander
Laura E MacConaill
Jeffrey C Lee
Rick Nicoletti
Charlie Hatton
Mary Goyette
Luc Girard
Kuntal Majmudar
Liuda Ziaugra
Kwok-Kin Wong
Stacey Gabriel
Rameen Beroukhim
Michael Peyton
Jordi Barretina
Amit Dutt
Caroline Emery
Heidi Greulich
Kinjal Shah
Hidefumi Sasaki
Adi Gazdar
John Minna
Scott A Armstrong
Ingo K Mellinghoff
F Stephen Hodi
Glenn Dranoff
Paul S Mischel
Tim F Cloughesy
Stan F Nelson
Linda M Liau
Kirsten Mertz
Mark A Rubin
Holger Moch
Massimo Loda
William Catalona
Jonathan Fletcher
Sabina Signoretti
Frederic Kaye
Kenneth C Anderson
George D Demetri
Reinhard Dummer
Stephan Wagner
Meenhard Herlyn
机构
[1] Dana-Farber Cancer Institute,Department of Medical Oncology
[2] Harvard Medical School,Department of Surgery 2
[3] The Broad Institute of M.I.T. and Harvard,Department of Pathology
[4] 7 Cambridge Center,Departments of Internal Medicine and Pharmacology
[5] Hamon Center for Therapeutic Oncology Research,Department of Pediatric Oncology
[6] University of Texas Southwestern Medical Center at Dallas,Department of Molecular and Medical Pharmacology and Medicine
[7] 6000 Harry Hines Boulevard,Department of Pathology
[8] Nagoya City University Medical School,Department of Neurology
[9] University of Texas Southwestern Medical Center,Department of Human Genetics
[10] University of Texas Southwestern Medical Center,Department of Neurosurgery
[11] Dana-Farber Cancer Institute,Department of Pathology
[12] Harvard Medical School,Department of Urology
[13] David Geffen School of Medicine at the University of California,Department of Dermatology
[14] Los Angeles,Division of Immunology, Department of Dermatology
[15] David Geffen School of Medicine at the University of California,Department of Pathology
[16] Los Angeles,Center for Integrated Oncology and Department I for Internal Medicine
[17] David Geffen School of Medicine at the University of California,undefined
[18] Los Angeles,undefined
[19] David Geffen School of Medicine at the University of California,undefined
[20] Los Angeles,undefined
[21] David Geffen School of Medicine at the University of California,undefined
[22] Los Angeles,undefined
[23] Brigham and Women's Hospital,undefined
[24] Harvard Medical School,undefined
[25] Institute of Surgical Pathology,undefined
[26] University Hospital Zürich,undefined
[27] Northwestern University Feinberg School of Medicine,undefined
[28] Genetics Branch,undefined
[29] Center for Cancer Research,undefined
[30] National Cancer Institute and National Naval Medical Center,undefined
[31] Ludwig Center for Cancer Research at Dana-Farber Cancer Institute,undefined
[32] University Hospital Zürich,undefined
[33] Allergy and Infectious Diseases,undefined
[34] Medical University of Vienna,undefined
[35] and Center of Molecular Medicine,undefined
[36] Austrian Academy of Sciences,undefined
[37] Wahringer Gurtel 18-20,undefined
[38] The Wistar Institute,undefined
[39] Novartis Institutes for BioMedical Research,undefined
[40] Harvard Medical School,undefined
[41] Center for Cancer Genome Discovery,undefined
[42] Dana-Farber Cancer Institute,undefined
[43] Harvard Medical School,undefined
[44] Melanoma Program in Medical Oncology,undefined
[45] Dana-Farber Cancer Institute,undefined
[46] Harvard Medical School,undefined
[47] Max Planck Institute for Neurological Research with Klaus Joachim Zülch Laboratories of the Max Planck Society and the Medical Faculty of the University of Cologne,undefined
[48] University of Cologne,undefined
来源
Nature Genetics | 2007年 / 39卷
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摘要
Systematic efforts are underway to decipher the genetic changes associated with tumor initiation and progression1,2. 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.
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页码:347 / 351
页数:4
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