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Nayyar N, Shih DJ, Bihun I, Dagogo-Jack I, Gill CM, Aquilanti E, Bertalan M, Kaplan A, D'Andrea MR, Chukwueke U, Alvarez-Breckenridge C, Lastrapes M, Kuter B, Strickland MR, Martinez-Gutierrez JC, Nagabhushan D, De Sauvage M, White MD, Castro BA, Hoang K, Paek SH, Park SH, Martinez-Lage M, Berghoff AS, Merrill P, Gerstner ER, Batchelor TT, Frosch MP, Frazier RP, Borger DR, Iafrate AJ, Santagata S, Preusser M, Cahill DP, Carter SL, Brastianos PK. Abstract 4729: Identifying genomic drivers of lung adenocarcinoma brain metastases. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-4729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Although lung adenocarcinomas frequently metastasize to the brain, treatment options for lung adenocarcinoma brain metastases (BM-LUAD) are limited. We discovered novel candidate drivers of progression by using case-control analyses to compare whole-exome sequencing data from a cohort of 73 BM-LUAD to a control cohort of 503 primary lung adenocarcinomas. We identified MYC, YAP1 and MMP13 as genomic regions with significantly more frequent amplifications in BM-LUAD compared to control cohort. We validated that MYC, YAP1 and MMP13 can drive brain metastases in a patient-derived xenograft mouse model, where incidence of brain metastases was higher in mice injected with tumor cells expressing the candidate drivers compared to tumor cells expressing LacZ. These results indicate that somatic alterations can drive lung adenocarcinomas to metastasize to the brain. These candidate drivers may serve as therapeutic targets in patients with brain metastatic lung adenocarcinomas.
Citation Format: Naema Nayyar, David J. Shih, Ivanna Bihun, Ibiayi Dagogo-Jack, Corey M. Gill, Elisa Aquilanti, Mia Bertalan, Alexander Kaplan, Megan R. D'Andrea, Ugonma Chukwueke, Christopher Alvarez-Breckenridge, Matthew Lastrapes, Ben Kuter, Matthew R. Strickland, Juan Carlos Martinez-Gutierrez, Deepika Nagabhushan, Magali De Sauvage, Michael D. White, Brandyn A. Castro, Kaitlin Hoang, Sun Ha Paek, Sun Hye Park, Maria Martinez-Lage, Anna S. Berghoff, Parker Merrill, Elizabeth R. Gerstner, Tracy T. Batchelor, Matthew P. Frosch, Ryan P. Frazier, Darrell R. Borger, A John Iafrate, Sandro Santagata, Matthias Preusser, Daniel P. Cahill, Scott L. Carter, Priscilla K. Brastianos. Identifying genomic drivers of lung adenocarcinoma brain metastases [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 4729.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | - Ben Kuter
- 3Massachusetts General Hospital, Boston, MA
| | | | | | | | | | | | | | | | - Sun Ha Paek
- 4Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sun Hye Park
- 4Seoul National University College of Medicine, Seoul, Republic of Korea
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Shih DJH, Nayyar N, Bihun I, Dagogo-Jack I, Gill CM, Aquilanti E, Bertalan M, Kaplan A, D'Andrea MR, Chukwueke U, Ippen FM, Alvarez-Breckenridge C, Camarda ND, Lastrapes M, McCabe D, Kuter B, Kaufman B, Strickland MR, Martinez-Gutierrez JC, Nagabhushan D, De Sauvage M, White MD, Castro BA, Hoang K, Kaneb A, Batchelor ED, Paek SH, Park SH, Martinez-Lage M, Berghoff AS, Merrill P, Gerstner ER, Batchelor TT, Frosch MP, Frazier RP, Borger DR, Iafrate AJ, Johnson BE, Santagata S, Preusser M, Cahill DP, Carter SL, Brastianos PK. Genomic characterization of human brain metastases identifies drivers of metastatic lung adenocarcinoma. Nat Genet 2020; 52:371-377. [PMID: 32203465 PMCID: PMC7136154 DOI: 10.1038/s41588-020-0592-7] [Citation(s) in RCA: 156] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2019] [Accepted: 02/18/2020] [Indexed: 01/08/2023]
Abstract
Brain metastases from lung adenocarcinoma (BM-LUAD) frequently cause patient mortality. To identify genomic alterations that promote brain metastases, we performed whole-exome sequencing of 73 BM-LUAD cases. Using case-control analyses, we discovered candidate drivers of brain metastasis by identifying genes with more frequent copy-number aberrations in BM-LUAD compared to 503 primary LUADs. We identified three regions with significantly higher amplification frequencies in BM-LUAD, including MYC (12 versus 6%), YAP1 (7 versus 0.8%) and MMP13 (10 versus 0.6%), and significantly more frequent deletions in CDKN2A/B (27 versus 13%). We confirmed that the amplification frequencies of MYC, YAP1 and MMP13 were elevated in an independent cohort of 105 patients with BM-LUAD. Functional assessment in patient-derived xenograft mouse models validated the notion that MYC, YAP1 or MMP13 overexpression increased the incidence of brain metastasis. These results demonstrate that somatic alterations contribute to brain metastases and that genomic sequencing of a sufficient number of metastatic tumors can reveal previously unknown metastatic drivers.
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Affiliation(s)
- David J H Shih
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Naema Nayyar
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Program in Molecular Medicine, UMass Medical School, Worcester, MA, USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Ivanna Bihun
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Corey M Gill
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Elisa Aquilanti
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Mia Bertalan
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Alexander Kaplan
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Megan R D'Andrea
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Ugonma Chukwueke
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Franziska Maria Ippen
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Nicholas D Camarda
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Matthew Lastrapes
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Devin McCabe
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ben Kuter
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Benjamin Kaufman
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Matthew R Strickland
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Juan Carlos Martinez-Gutierrez
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Deepika Nagabhushan
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Magali De Sauvage
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Michael D White
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Brandyn A Castro
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Kaitlin Hoang
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Andrew Kaneb
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Emily D Batchelor
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Sun Ha Paek
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul, South Korea
- Department of Pathology, Seoul National University College of Medicine, Seoul, South Korea
| | - Sun Hye Park
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul, South Korea
- Department of Pathology, Seoul National University College of Medicine, Seoul, South Korea
| | | | - Anna S Berghoff
- Department of Medicine I, Division of Oncology, Medical University of Vienna, Comprehensive Cancer Center Vienna, Vienna, Austria
| | - Parker Merrill
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Tracy T Batchelor
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Matthew P Frosch
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Ryan P Frazier
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Darrell R Borger
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - A John Iafrate
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Bruce E Johnson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Sandro Santagata
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
- Laboratory for Systems Pharmacology, Harvard Medical School, Boston, MA, USA
- Ludwig Center at Harvard Medical School, Boston, MA, USA
| | - Matthias Preusser
- Department of Medicine I, Division of Oncology, Medical University of Vienna, Comprehensive Cancer Center Vienna, Vienna, Austria
| | - Daniel P Cahill
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA
| | - Scott L Carter
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, MA, USA.
| | - Priscilla K Brastianos
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
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Cheng J, Cao Y, MacLeay A, Lennerz JK, Baig A, Frazier RP, Lee J, Hu K, Pacula M, Meneses E, Robinson H, Batten JM, Brastianos PK, Heist RS, Bardia A, Le LP, Iafrate AJ. Clinical Validation of a Cell-Free DNA Gene Panel. J Mol Diagn 2019; 21:632-645. [PMID: 31026600 DOI: 10.1016/j.jmoldx.2019.02.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2018] [Revised: 02/19/2019] [Accepted: 02/26/2019] [Indexed: 01/01/2023] Open
Abstract
The use of liquid biopsies to identify driver mutations in patients with solid tumors holds great promise for performing targeted therapy selection, monitoring disease progression, and detecting treatment resistance mechanisms. We describe herein the development and clinical validation of a 28-gene cell-free DNA panel that targets the most common genetic alterations in solid tumors. Bioinformatic and variant filtering solutions were developed to improve test sensitivity and specificity. The panel and these tools were used to analyze commercially available controls, allowing establishment of a limit of detection allele fraction cutoff of 0.25%, with 100% (95% CI, 81.5%-100%) specificity and 89.8% (95% CI, 81.0%-94.9%) sensitivity. In addition, we analyzed a total of 163 blood samples from patients with metastatic cancer (n = 123) and demonstrated a >90% sensitivity for detecting previously identified expected mutations. Longitudinal monitoring of patients revealed a strong correlation of variant allele frequency changes and clinical outcome. Additional clinically relevant information included identification of resistance mutations in patients receiving targeted treatment and detection of complex patterns of mutational heterogeneity. Achieving lower limits of detection will require additional improvements to molecular barcoding; however, these data strongly support clinical implementation of cell-free DNA panels in advanced cancer patients.
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Affiliation(s)
- Ju Cheng
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Yi Cao
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Allison MacLeay
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Jochen K Lennerz
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Aymen Baig
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Ryan P Frazier
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Jesse Lee
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Krista Hu
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Maciej Pacula
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Enrique Meneses
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Hayley Robinson
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - Julie M Batten
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | | | - Rebecca S Heist
- Cancer Center, Massachusetts General Hospital, Boston, Massachusetts
| | - Aditya Bardia
- Cancer Center, Massachusetts General Hospital, Boston, Massachusetts
| | - Long P Le
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | - A John Iafrate
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts.
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5
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Thierauf J, Ramamurthy N, Jo VY, Robinson H, Frazier RP, Gonzalez J, Pacula M, Dominguez Meneses E, Nose V, Nardi V, Dias-Santagata D, Le LP, Lin DT, Faquin WC, Wirth LJ, Hess J, Iafrate AJ, Lennerz JK. Clinically Integrated Molecular Diagnostics in Adenoid Cystic Carcinoma. Oncologist 2019; 24:1356-1367. [PMID: 30926674 PMCID: PMC6795155 DOI: 10.1634/theoncologist.2018-0515] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Accepted: 02/27/2019] [Indexed: 01/29/2023] Open
Abstract
Adenoid cystic carcinoma is a rare but aggressive type of salivary gland malignancy. This article addresses the need for more effective, biomarker‐informed therapies in rare cancers, focusing on clinical utility and financial sustainability of integrated next‐generation sequencing in routine practice. Background. Adenoid cystic carcinoma (ACC) is an aggressive salivary gland malignancy without effective systemic therapies. Delineation of molecular profiles in ACC has led to an increased number of biomarker‐stratified clinical trials; however, the clinical utility and U.S.‐centric financial sustainability of integrated next‐generation sequencing (NGS) in routine practice has, to our knowledge, not been assessed. Materials and Methods. In our practice, NGS genotyping was implemented at the discretion of the primary clinician. We combined NGS‐based mutation and fusion detection, with MYB break‐apart fluorescent in situ hybridization (FISH) and MYB immunohistochemistry. Utility was defined as the fraction of patients with tumors harboring alterations that are potentially amenable to targeted therapies. Financial sustainability was assessed using the fraction of global reimbursement. Results. Among 181 consecutive ACC cases (2011–2018), prospective genotyping was performed in 11% (n = 20/181; n = 8 nonresectable). Testing identified 5/20 (25%) NOTCH1 aberrations, 6/20 (30%) MYB‐NFIB fusions (all confirmed by FISH), and 2/20 (10%) MYBL1‐NFIB fusions. Overall, these three alterations (MYB/MYBL1/NOTCH1) made up 65% of patients, and this subset had a more aggressive course with significantly shorter progression‐free survival. In 75% (n = 6/8) of nonresectable patients, we detected potentially actionable alterations. Financial analysis of the global charges, including NGS codes, indicated 63% reimbursement, which is in line with national (U.S.‐based) and international levels of reimbursement. Conclusion. Prospective routine clinical genotyping in ACC can identify clinically relevant subsets of patients and is approaching financial sustainability. Demonstrating clinical utility and financial sustainability in an orphan disease (ACC) requires a multiyear and multidimensional program. Implications for Practice. Delineation of molecular profiles in adenoid cystic carcinoma (ACC) has been accomplished in the research setting; however, the ability to identify relevant patient subsets in clinical practice has not been assessed. This work presents an approach to perform integrated molecular genotyping of patients with ACC with nonresectable, recurrent, or systemic disease. It was determined that 75% of nonresectable patients harbor potentially actionable alterations and that 63% of charges are reimbursed. This report outlines that orphan diseases such as ACC require a multiyear, multidimensional program to demonstrate utility in clinical practice.
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Affiliation(s)
- Julia Thierauf
- Department of Pathology, Center for Integrated Diagnostics, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts, USA
- Department of Otorhinolaryngology, Head and Neck Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Nisha Ramamurthy
- Department of Pathology, Center for Integrated Diagnostics, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts, USA
| | - Vickie Y Jo
- Department of Pathology, Brigham and Women's Hospital/Harvard Medical School, Boston, Massachusetts, USA
| | - Hayley Robinson
- Department of Pathology, Center for Integrated Diagnostics, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts, USA
| | - Ryan P Frazier
- Department of Pathology, Center for Integrated Diagnostics, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts, USA
| | - Jonathan Gonzalez
- Department of Pathology, Center for Integrated Diagnostics, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts, USA
| | - Maciej Pacula
- Department of Pathology, Computational Pathology, Boston, Massachusetts, USA
| | | | - Vania Nose
- Department of Pathology, Head and Neck Pathology, Boston, Massachusetts, USA
- Department of Pathology, Surgical Pathology, Boston, Massachusetts, USA
| | - Valentina Nardi
- Department of Pathology, Center for Integrated Diagnostics, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts, USA
| | - Dora Dias-Santagata
- Department of Pathology, Center for Integrated Diagnostics, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts, USA
| | - Long P Le
- Department of Pathology, Center for Integrated Diagnostics, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts, USA
- Department of Pathology, Computational Pathology, Boston, Massachusetts, USA
| | - Derrick T Lin
- Department of Otolaryngology, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA
| | - William C Faquin
- Department of Pathology, Surgical Pathology, Boston, Massachusetts, USA
- Department of Otolaryngology, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA
| | - Lori J Wirth
- Cancer Center, Massachusetts General Hospital, Boston, Massachusetts, USA
- Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA
| | - Jochen Hess
- Department of Otorhinolaryngology, Head and Neck Surgery, Heidelberg University Hospital, Heidelberg, Germany
- Research Group Molecular Mechanisms of Head and Neck Tumors, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - A John Iafrate
- Department of Pathology, Center for Integrated Diagnostics, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts, USA
| | - Jochen K Lennerz
- Department of Pathology, Center for Integrated Diagnostics, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts, USA
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