1
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Schaub FX, Dhankani V, Berger AC, Trivedi M, Richardson AB, Shaw R, Zhao W, Zhang X, Ventura A, Liu Y, Ayer DE, Hurlin PJ, Cherniack AD, Eisenman RN, Bernard B, Grandori C. Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas. Cell Syst 2019; 6:282-300.e2. [PMID: 29596783 DOI: 10.1016/j.cels.2018.03.003] [Citation(s) in RCA: 227] [Impact Index Per Article: 45.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Revised: 02/06/2018] [Accepted: 03/02/2018] [Indexed: 12/19/2022]
Abstract
Although the MYC oncogene has been implicated in cancer, a systematic assessment of alterations of MYC, related transcription factors, and co-regulatory proteins, forming the proximal MYC network (PMN), across human cancers is lacking. Using computational approaches, we define genomic and proteomic features associated with MYC and the PMN across the 33 cancers of The Cancer Genome Atlas. Pan-cancer, 28% of all samples had at least one of the MYC paralogs amplified. In contrast, the MYC antagonists MGA and MNT were the most frequently mutated or deleted members, proposing a role as tumor suppressors. MYC alterations were mutually exclusive with PIK3CA, PTEN, APC, or BRAF alterations, suggesting that MYC is a distinct oncogenic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such as immune response and growth factor signaling; chromatin, translation, and DNA replication/repair were conserved pan-cancer. This analysis reveals insights into MYC biology and is a reference for biomarkers and therapeutics for cancers with alterations of MYC or the PMN.
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Affiliation(s)
- Franz X Schaub
- Cure First, Seattle, WA, USA; SEngine Precision Medicine, Seattle, WA, USA
| | | | - Ashton C Berger
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | | | | | - Reid Shaw
- SEngine Precision Medicine, Seattle, WA, USA
| | - Wei Zhao
- Department of Systems Biology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xiaoyang Zhang
- Dana-Farber Cancer Institute, the Broad Institute of Harvard and MIT, and Harvard Medical School, Boston, MA, USA
| | - Andrea Ventura
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yuexin Liu
- Department of Systems Biology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Donald E Ayer
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Peter J Hurlin
- Shriners Hospitals for Children Research Center, Department of Cell, Developmental and Cancer Biology, Oregon Health & Science University, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Andrew D Cherniack
- Dana-Farber Cancer Institute, the Broad Institute of Harvard and MIT, and Harvard Medical School, Boston, MA, USA
| | - Robert N Eisenman
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Brady Bernard
- Institute for Systems Biology, Seattle, WA, USA; Providence Health and Services, Portland, OR, USA.
| | - Carla Grandori
- Cure First, Seattle, WA, USA; SEngine Precision Medicine, Seattle, WA, USA.
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2
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Thorsson V, Gibbs DL, Brown SD, Wolf D, Bortone DS, Ou Yang TH, Porta-Pardo E, Gao GF, Plaisier CL, Eddy JA, Ziv E, Culhane AC, Paull EO, Sivakumar IKA, Gentles AJ, Malhotra R, Farshidfar F, Colaprico A, Parker JS, Mose LE, Vo NS, Liu J, Liu Y, Rader J, Dhankani V, Reynolds SM, Bowlby R, Califano A, Cherniack AD, Anastassiou D, Bedognetti D, Mokrab Y, Newman AM, Rao A, Chen K, Krasnitz A, Hu H, Malta TM, Noushmehr H, Pedamallu CS, Bullman S, Ojesina AI, Lamb A, Zhou W, Shen H, Choueiri TK, Weinstein JN, Guinney J, Saltz J, Holt RA, Rabkin CS, Lazar AJ, Serody JS, Demicco EG, Disis ML, Vincent BG, Shmulevich I. The Immune Landscape of Cancer. Immunity 2019; 51:411-412. [PMID: 31433971 DOI: 10.1016/j.immuni.2019.08.004] [Citation(s) in RCA: 239] [Impact Index Per Article: 47.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
- Vésteinn Thorsson
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA.
| | - David L Gibbs
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Scott D Brown
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Denise Wolf
- University of California, San Francisco, Box 0808, 2340 Sutter Street, S433, San Francisco, CA 94115, USA
| | - Dante S Bortone
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Tai-Hsien Ou Yang
- Department of Systems Biology and Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Eduard Porta-Pardo
- Barcelona Supercomputing Centre, c/Jordi Girona, 29, 08034 Barcelona, Spain; SBP Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Galen F Gao
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Christopher L Plaisier
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA; School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85281, USA
| | - James A Eddy
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Elad Ziv
- Department of Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, 1450 3rd St, San Francisco, CA 94143, USA
| | - Aedin C Culhane
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Evan O Paull
- Irving Cancer Research Center, Room 913,1130 St. Nicholas Avenue, New York, NY 10032, USA
| | - I K Ashok Sivakumar
- Department of Computer Science, Institute for Computational Medicine; Johns Hopkins University, Baltimore, MD 21218, USA
| | - Andrew J Gentles
- Departments of Medicine and Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | | | - Farshad Farshidfar
- Department of Oncology, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Antonio Colaprico
- Universite libre de Bruxelles (ULB), Computer Science Department, Faculty of Sciences, Boulevard du Triomphe - CP212, 1050 Bruxelles, Belgium
| | - Joel S Parker
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Lisle E Mose
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Nam Sy Vo
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jianfang Liu
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA 15963, USA
| | - Yuexin Liu
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Janet Rader
- Medical College of Wisconsin, 9200 Wisconsin Avenue, Milwaukee, WI 53226 USA
| | - Varsha Dhankani
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Sheila M Reynolds
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Reanne Bowlby
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Andrea Califano
- Irving Cancer Research Center, Room 913,1130 St. Nicholas Avenue, New York, NY 10032, USA
| | - Andrew D Cherniack
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Dimitris Anastassiou
- Department of Systems Biology and Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Davide Bedognetti
- Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, PO Box 26999, Doha, Qatar
| | - Younes Mokrab
- Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, PO Box 26999, Doha, Qatar
| | - Aaron M Newman
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Arvind Rao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Alexander Krasnitz
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA
| | - Hai Hu
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA 15963, USA
| | - Tathiane M Malta
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI 48202, USA; Department of Genetics, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Houtan Noushmehr
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI 48202, USA; Department of Genetics, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil
| | | | - Susan Bullman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | | | - Andrew Lamb
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Wanding Zhou
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Hui Shen
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Toni K Choueiri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - John N Weinstein
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Justin Guinney
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook Medicine, 100 Nicolls Rd, Stony Brook, NY 11794, USA
| | - Robert A Holt
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Charles S Rabkin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Bethesda, MD 20892, USA
| | | | - Alexander J Lazar
- Departments of Pathology, Genomics Medicine and Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd-Unit 85, Houston, TX 77030, USA
| | - Jonathan S Serody
- Department of Medicine and Microbiology and Lineberger Comprehensive Cancer Center, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Elizabeth G Demicco
- Mount Sinai Hospital, Department of Pathology and Laboratory Medicine, 600 University Ave., Toronto, ON M5G 1X5, Canada
| | - Mary L Disis
- UW Medicine Cancer Vaccine Institute, 850 Republican Street, Brotman Building, 2nd Floor, Room 221, Box 358050, University of Washington, Seattle, WA 98109-4714, USA
| | - Benjamin G Vincent
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA.
| | - Ilya Shmulevich
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA.
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3
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Thorsson V, Gibbs DL, Brown SD, Wolf D, Bortone DS, Ou Yang TH, Porta-Pardo E, Gao GF, Plaisier CL, Eddy JA, Ziv E, Culhane AC, Paull EO, Sivakumar IKA, Gentles AJ, Malhotra R, Farshidfar F, Colaprico A, Parker JS, Mose LE, Vo NS, Liu J, Liu Y, Rader J, Dhankani V, Reynolds SM, Bowlby R, Califano A, Cherniack AD, Anastassiou D, Bedognetti D, Mokrab Y, Newman AM, Rao A, Chen K, Krasnitz A, Hu H, Malta TM, Noushmehr H, Pedamallu CS, Bullman S, Ojesina AI, Lamb A, Zhou W, Shen H, Choueiri TK, Weinstein JN, Guinney J, Saltz J, Holt RA, Rabkin CS, Lazar AJ, Serody JS, Demicco EG, Disis ML, Vincent BG, Shmulevich I. The Immune Landscape of Cancer. Immunity 2019. [PMID: 31433971 DOI: 10.1016/j.immuni.2019.08.004.erratumfor:immunity.2018;48(4),812-830.e14] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Affiliation(s)
- Vésteinn Thorsson
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA.
| | - David L Gibbs
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Scott D Brown
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Denise Wolf
- University of California, San Francisco, Box 0808, 2340 Sutter Street, S433, San Francisco, CA 94115, USA
| | - Dante S Bortone
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Tai-Hsien Ou Yang
- Department of Systems Biology and Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Eduard Porta-Pardo
- Barcelona Supercomputing Centre, c/Jordi Girona, 29, 08034 Barcelona, Spain; SBP Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Galen F Gao
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Christopher L Plaisier
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA; School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85281, USA
| | - James A Eddy
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Elad Ziv
- Department of Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, 1450 3rd St, San Francisco, CA 94143, USA
| | - Aedin C Culhane
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Evan O Paull
- Irving Cancer Research Center, Room 913,1130 St. Nicholas Avenue, New York, NY 10032, USA
| | - I K Ashok Sivakumar
- Department of Computer Science, Institute for Computational Medicine; Johns Hopkins University, Baltimore, MD 21218, USA
| | - Andrew J Gentles
- Departments of Medicine and Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | | | - Farshad Farshidfar
- Department of Oncology, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Antonio Colaprico
- Universite libre de Bruxelles (ULB), Computer Science Department, Faculty of Sciences, Boulevard du Triomphe - CP212, 1050 Bruxelles, Belgium
| | - Joel S Parker
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Lisle E Mose
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Nam Sy Vo
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jianfang Liu
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA 15963, USA
| | - Yuexin Liu
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Janet Rader
- Medical College of Wisconsin, 9200 Wisconsin Avenue, Milwaukee, WI 53226 USA
| | - Varsha Dhankani
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Sheila M Reynolds
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Reanne Bowlby
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Andrea Califano
- Irving Cancer Research Center, Room 913,1130 St. Nicholas Avenue, New York, NY 10032, USA
| | - Andrew D Cherniack
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Dimitris Anastassiou
- Department of Systems Biology and Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Davide Bedognetti
- Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, PO Box 26999, Doha, Qatar
| | - Younes Mokrab
- Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, PO Box 26999, Doha, Qatar
| | - Aaron M Newman
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Arvind Rao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Alexander Krasnitz
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA
| | - Hai Hu
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA 15963, USA
| | - Tathiane M Malta
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI 48202, USA; Department of Genetics, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Houtan Noushmehr
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI 48202, USA; Department of Genetics, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil
| | | | - Susan Bullman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | | | - Andrew Lamb
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Wanding Zhou
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Hui Shen
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Toni K Choueiri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - John N Weinstein
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Justin Guinney
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook Medicine, 100 Nicolls Rd, Stony Brook, NY 11794, USA
| | - Robert A Holt
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Charles S Rabkin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Bethesda, MD 20892, USA
| | | | - Alexander J Lazar
- Departments of Pathology, Genomics Medicine and Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd-Unit 85, Houston, TX 77030, USA
| | - Jonathan S Serody
- Department of Medicine and Microbiology and Lineberger Comprehensive Cancer Center, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Elizabeth G Demicco
- Mount Sinai Hospital, Department of Pathology and Laboratory Medicine, 600 University Ave., Toronto, ON M5G 1X5, Canada
| | - Mary L Disis
- UW Medicine Cancer Vaccine Institute, 850 Republican Street, Brotman Building, 2nd Floor, Room 221, Box 358050, University of Washington, Seattle, WA 98109-4714, USA
| | - Benjamin G Vincent
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA.
| | - Ilya Shmulevich
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA.
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4
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Thorsson V, Gibbs DL, Brown SD, Wolf D, Bortone DS, Ou Yang TH, Porta-Pardo E, Gao GF, Plaisier CL, Eddy JA, Ziv E, Culhane AC, Paull EO, Sivakumar IKA, Gentles AJ, Malhotra R, Farshidfar F, Colaprico A, Parker JS, Mose LE, Vo NS, Liu J, Liu Y, Rader J, Dhankani V, Reynolds SM, Bowlby R, Califano A, Cherniack AD, Anastassiou D, Bedognetti D, Mokrab Y, Newman AM, Rao A, Chen K, Krasnitz A, Hu H, Malta TM, Noushmehr H, Pedamallu CS, Bullman S, Ojesina AI, Lamb A, Zhou W, Shen H, Choueiri TK, Weinstein JN, Guinney J, Saltz J, Holt RA, Rabkin CS, Lazar AJ, Serody JS, Demicco EG, Disis ML, Vincent BG, Shmulevich I. The Immune Landscape of Cancer. Immunity 2018; 48:812-830.e14. [PMID: 29628290 PMCID: PMC5982584 DOI: 10.1016/j.immuni.2018.03.023] [Citation(s) in RCA: 3127] [Impact Index Per Article: 521.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Revised: 01/23/2018] [Accepted: 03/21/2018] [Indexed: 02/08/2023]
Abstract
We performed an extensive immunogenomic analysis of more than 10,000 tumors comprising 33 diverse cancer types by utilizing data compiled by TCGA. Across cancer types, we identified six immune subtypes-wound healing, IFN-γ dominant, inflammatory, lymphocyte depleted, immunologically quiet, and TGF-β dominant-characterized by differences in macrophage or lymphocyte signatures, Th1:Th2 cell ratio, extent of intratumoral heterogeneity, aneuploidy, extent of neoantigen load, overall cell proliferation, expression of immunomodulatory genes, and prognosis. Specific driver mutations correlated with lower (CTNNB1, NRAS, or IDH1) or higher (BRAF, TP53, or CASP8) leukocyte levels across all cancers. Multiple control modalities of the intracellular and extracellular networks (transcription, microRNAs, copy number, and epigenetic processes) were involved in tumor-immune cell interactions, both across and within immune subtypes. Our immunogenomics pipeline to characterize these heterogeneous tumors and the resulting data are intended to serve as a resource for future targeted studies to further advance the field.
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Affiliation(s)
- Vésteinn Thorsson
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA.
| | - David L Gibbs
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Scott D Brown
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Denise Wolf
- University of California, San Francisco, Box 0808, 2340 Sutter Street, S433, San Francisco, CA 94115, USA
| | - Dante S Bortone
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Tai-Hsien Ou Yang
- Department of Systems Biology and Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Eduard Porta-Pardo
- Barcelona Supercomputing Centre, c/Jordi Girona, 29, 08034 Barcelona, Spain; SBP Medical Discovery Institute, La Jolla, CA 92037, USA
| | - Galen F Gao
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Christopher L Plaisier
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA; School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85281, USA
| | - James A Eddy
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Elad Ziv
- Department of Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, 1450 3rd St, San Francisco, CA 94143, USA
| | - Aedin C Culhane
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Evan O Paull
- Irving Cancer Research Center, Room 913,1130 St. Nicholas Avenue, New York, NY 10032, USA
| | - I K Ashok Sivakumar
- Department of Computer Science, Institute for Computational Medicine; Johns Hopkins University, Baltimore, MD 21218, USA
| | - Andrew J Gentles
- Departments of Medicine and Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | | | - Farshad Farshidfar
- Department of Oncology, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Antonio Colaprico
- Universite libre de Bruxelles (ULB), Computer Science Department, Faculty of Sciences, Boulevard du Triomphe - CP212, 1050 Bruxelles, Belgium
| | - Joel S Parker
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Lisle E Mose
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Nam Sy Vo
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jianfang Liu
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA 15963, USA
| | - Yuexin Liu
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Janet Rader
- Medical College of Wisconsin, 9200 Wisconsin Avenue, Milwaukee, WI 53226 USA
| | - Varsha Dhankani
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Sheila M Reynolds
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
| | - Reanne Bowlby
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Andrea Califano
- Irving Cancer Research Center, Room 913,1130 St. Nicholas Avenue, New York, NY 10032, USA
| | - Andrew D Cherniack
- The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Dimitris Anastassiou
- Department of Systems Biology and Department of Electrical Engineering, Columbia University, New York, NY 10027, USA
| | - Davide Bedognetti
- Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, PO Box 26999, Doha, Qatar
| | - Younes Mokrab
- Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, PO Box 26999, Doha, Qatar
| | - Aaron M Newman
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Arvind Rao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Alexander Krasnitz
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA
| | - Hai Hu
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA 15963, USA
| | - Tathiane M Malta
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI 48202, USA; Department of Genetics, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Houtan Noushmehr
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI 48202, USA; Department of Genetics, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil
| | | | - Susan Bullman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | | | - Andrew Lamb
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Wanding Zhou
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Hui Shen
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Toni K Choueiri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - John N Weinstein
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Justin Guinney
- Sage Bionetworks, 2901 Third Ave, Suite 330, Seattle, WA 98121, USA
| | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook Medicine, 100 Nicolls Rd, Stony Brook, NY 11794, USA
| | - Robert A Holt
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Charles S Rabkin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Dr., Bethesda, MD 20892, USA
| | - Alexander J Lazar
- Departments of Pathology, Genomics Medicine and Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd-Unit 85, Houston, TX 77030, USA
| | - Jonathan S Serody
- Department of Medicine and Microbiology and Lineberger Comprehensive Cancer Center, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA
| | - Elizabeth G Demicco
- Mount Sinai Hospital, Department of Pathology and Laboratory Medicine, 600 University Ave., Toronto, ON M5G 1X5, Canada
| | - Mary L Disis
- UW Medicine Cancer Vaccine Institute, 850 Republican Street, Brotman Building, 2nd Floor, Room 221, Box 358050, University of Washington, Seattle, WA 98109-4714, USA
| | - Benjamin G Vincent
- Lineberger Comprehensive Cancer Center, Curriculum in Bioinformatics and Computational Biology, University of North Carolina, 125 Mason Farm Road, Chapel Hill, NC 27599-7295, USA.
| | - Ilya Shmulevich
- Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA.
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5
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Reynolds SM, Miller M, Lee P, Leinonen K, Paquette SM, Rodebaugh Z, Hahn A, Gibbs DL, Slagel J, Longabaugh WJ, Dhankani V, Reyes M, Pihl T, Backus M, Bookman M, Deflaux N, Bingham J, Pot D, Shmulevich I. The ISB Cancer Genomics Cloud: A Flexible Cloud-Based Platform for Cancer Genomics Research. Cancer Res 2017; 77:e7-e10. [PMID: 29092928 DOI: 10.1158/0008-5472.can-17-0617] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 06/23/2017] [Accepted: 08/08/2017] [Indexed: 12/30/2022]
Abstract
The ISB Cancer Genomics Cloud (ISB-CGC) is one of three pilot projects funded by the National Cancer Institute to explore new approaches to computing on large cancer datasets in a cloud environment. With a focus on Data as a Service, the ISB-CGC offers multiple avenues for accessing and analyzing The Cancer Genome Atlas, TARGET, and other important references such as GENCODE and COSMIC using the Google Cloud Platform. The open approach allows researchers to choose approaches best suited to the task at hand: from analyzing terabytes of data using complex workflows to developing new analysis methods in common languages such as Python, R, and SQL; to using an interactive web application to create synthetic patient cohorts and to explore the wealth of available genomic data. Links to resources and documentation can be found at www.isb-cgc.org Cancer Res; 77(21); e7-10. ©2017 AACR.
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Affiliation(s)
| | | | - Phyliss Lee
- Institute for Systems Biology, Seattle, Washington
| | | | | | | | - Abigail Hahn
- Institute for Systems Biology, Seattle, Washington
| | | | | | | | | | | | | | | | - Matthew Bookman
- Google, Mountain View, California.,Verily Life Sciences, South San Francisco, California
| | - Nicole Deflaux
- Google, Mountain View, California.,Verily Life Sciences, South San Francisco, California
| | - Jonathan Bingham
- Google, Mountain View, California.,Verily Life Sciences, South San Francisco, California
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6
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Dhankani V, Gibbs DL, Knijnenburg T, Kramer R, Vockley J, Niederhuber J, Shmulevich I, Bernard B. Using Incomplete Trios to Boost Confidence in Family Based Association Studies. Front Genet 2016; 7:34. [PMID: 27047537 PMCID: PMC4796035 DOI: 10.3389/fgene.2016.00034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2015] [Accepted: 02/25/2016] [Indexed: 11/18/2022] Open
Abstract
Most currently available family based association tests are designed to account only for nuclear families with complete genotypes for parents as well as offspring. Due to the availability of increasingly less expensive generation of whole genome sequencing information, genetic studies are able to collect data for more families and from large family cohorts with the goal of improving statistical power. However, due to missing genotypes, many families are not included in the family based association tests, negating the benefits of large scale sequencing data. Here, we present the CIFBAT method to use incomplete families in Family Based Association Test (FBAT) to evaluate robustness against missing data. CIFBAT uses quantile intervals of the FBAT statistic by randomly choosing valid completions of incomplete family genotypes based on Mendelian inheritance rules. By considering all valid completions equally likely and computing quantile intervals over many randomized iterations, CIFBAT avoids assumption of a homogeneous population structure or any particular missingness pattern in the data. Using simulated data, we show that the quantile intervals computed by CIFBAT are useful in validating robustness of the FBAT statistic against missing data and in identifying genomic markers with higher precision. We also propose a novel set of candidate genomic markers for uterine related abnormalities from analysis of familial whole genome sequences, and provide validation for a previously established set of candidate markers for Type 1 diabetes. We have provided a software package that incorporates TDT, robustTDT, FBAT, and CIFBAT. The data format proposed for the software uses half the memory space that the standard FBAT format (PED) files use, making it efficient for large scale genome wide association studies.
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Affiliation(s)
| | | | | | | | - Joseph Vockley
- Inova Translational Medicine InstituteFalls Church, VA, USA; School of Medicine, Virginia Commonwealth UniversityRichmond, VA, USA
| | - John Niederhuber
- Inova Translational Medicine InstituteFalls Church, VA, USA; School of Medicine, John Hopkins UniversityBaltimore, MD, USA
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7
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Glusman G, Severson A, Dhankani V, Robinson M, Farrah T, Mauldin DE, Stittrich AB, Ament SA, Roach JC, Brunkow ME, Bodian DL, Vockley JG, Shmulevich I, Niederhuber JE, Hood L. Identification of copy number variants in whole-genome data using Reference Coverage Profiles. Front Genet 2015; 6:45. [PMID: 25741365 PMCID: PMC4330915 DOI: 10.3389/fgene.2015.00045] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2014] [Accepted: 01/30/2015] [Indexed: 12/20/2022] Open
Abstract
The identification of DNA copy numbers from short-read sequencing data remains a challenge for both technical and algorithmic reasons. The raw data for these analyses are measured in tens to hundreds of gigabytes per genome; transmitting, storing, and analyzing such large files is cumbersome, particularly for methods that analyze several samples simultaneously. We developed a very efficient representation of depth of coverage (150–1000× compression) that enables such analyses. Current methods for analyzing variants in whole-genome sequencing (WGS) data frequently miss copy number variants (CNVs), particularly hemizygous deletions in the 1–100 kb range. To fill this gap, we developed a method to identify CNVs in individual genomes, based on comparison to joint profiles pre-computed from a large set of genomes. We analyzed depth of coverage in over 6000 high quality (>40×) genomes. The depth of coverage has strong sequence-specific fluctuations only partially explained by global parameters like %GC. To account for these fluctuations, we constructed multi-genome profiles representing the observed or inferred diploid depth of coverage at each position along the genome. These Reference Coverage Profiles (RCPs) take into account the diverse technologies and pipeline versions used. Normalization of the scaled coverage to the RCP followed by hidden Markov model (HMM) segmentation enables efficient detection of CNVs and large deletions in individual genomes. Use of pre-computed multi-genome coverage profiles improves our ability to analyze each individual genome. We make available RCPs and tools for performing these analyses on personal genomes. We expect the increased sensitivity and specificity for individual genome analysis to be critical for achieving clinical-grade genome interpretation.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Dale L Bodian
- Inova Translational Medicine Institute, Inova Health System Falls Church, VA, USA
| | - Joseph G Vockley
- Inova Translational Medicine Institute, Inova Health System Falls Church, VA, USA
| | | | - John E Niederhuber
- Inova Translational Medicine Institute, Inova Health System Falls Church, VA, USA
| | - Leroy Hood
- Institute for Systems Biology Seattle, WA, USA
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8
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Dhankani V, Kutz JN, Schiffer JT. Herpes simplex virus-2 genital tract shedding is not predictable over months or years in infected persons. PLoS Comput Biol 2014; 10:e1003922. [PMID: 25375183 PMCID: PMC4222642 DOI: 10.1371/journal.pcbi.1003922] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [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: 03/04/2014] [Accepted: 09/18/2014] [Indexed: 12/26/2022] Open
Abstract
Herpes simplex virus-2 (HSV-2) is a chronic reactivating infection that leads to recurrent shedding episodes in the genital tract. A minority of episodes are prolonged, and associated with development of painful ulcers. However, currently, available tools poorly predict viral trajectories and timing of reactivations in infected individuals. We employed principal components analysis (PCA) and singular value decomposition (SVD) to interpret HSV-2 genital tract shedding time series data, as well as simulation output from a stochastic spatial mathematical model. Empirical and model-derived, time-series data gathered over >30 days consists of multiple complex episodes that could not be reduced to a manageable number of descriptive features with PCA and SVD. However, single HSV-2 shedding episodes, even those with prolonged duration and complex morphologies consisting of multiple erratic peaks, were consistently described using a maximum of four dominant features. Modeled and clinical episodes had equivalent distributions of dominant features, implying similar dynamics in real and simulated episodes. We applied linear discriminant analysis (LDA) to simulation output and identified that local immune cell density at the viral reactivation site had a predictive effect on episode duration, though longer term shedding suggested chaotic dynamics and could not be predicted based on spatial patterns of immune cell density. These findings suggest that HSV-2 shedding patterns within an individual are impossible to predict over weeks or months, and that even highly complex single HSV-2 episodes can only be partially predicted based on spatial distribution of immune cell density. Mathematical models are commonly used to better understand viral infections. Equations are simply rules to describe behavior of viruses, infected cells and the immune response, and are tested for their ability to reproduce serial viral levels in infected persons. Models provide insights regarding the pace of viral replication and timing of the immune response. Here we describe Herpes Simplex Virus-2 (HSV-2), an infection that defies standard modeling approaches. HSV-2 is sexually transmitted, and causes recurrent genital ulcers and frequent asymptomatic genital shedding episodes. Episodes initiate in a seemingly random fashion. Viral loads are erratic and complex during single episodes. We developed a mathematical model, which suggests that in general, shedding variability is due to heterogeneous density of immune cells in the genital tract. Yet, our model is unable to predict viral loads over time in individual patients. Here we employ several statistical tools to demonstrate that HSV-2 shedding is highly unpredictable, akin to weather patterns. Based on available spatial assessments of current viral and immunologic conditions, shedding can only be predicted over a few days, but not over ensuing weeks. These results have important clinical implications, and highlight limitations of attempting to predict outcomes in complex systems with simple mechanistic models.
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Affiliation(s)
- Varsha Dhankani
- Department of Applied Mathematics, University of Washington, Seattle, Washington, United States of America
| | - J. Nathan Kutz
- Department of Applied Mathematics, University of Washington, Seattle, Washington, United States of America
| | - Joshua T. Schiffer
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- * E-mail:
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