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1. Protein-Protein interactions uncover candidate 'core genes' within omnigenic disease networks.

Author

Abhirami Ratnakumar, Nils Weinhold, Jessica C Mar, and Nadeem Riaz

Subjects
Genetics, QH426-470
Abstract

Genome wide association studies (GWAS) of human diseases have generally identified many loci associated with risk with relatively small effect sizes. The omnigenic model attempts to explain this observation by suggesting that diseases can be thought of as networks, where genes with direct involvement in disease-relevant biological pathways are named 'core genes', while peripheral genes influence disease risk via their interactions or regulatory effects on core genes. Here, we demonstrate a method for identifying candidate core genes solely from genes in or near disease-associated SNPs (GWAS hits) in conjunction with protein-protein interaction network data. Applied to 1,381 GWAS studies from 5 ancestries, we identify a total of 1,865 candidate core genes in 343 GWAS studies. Our analysis identifies several well-known disease-related genes that are not identified by GWAS, including BRCA1 in Breast Cancer, Amyloid Precursor Protein (APP) in Alzheimer's Disease, INS in A1C measurement and Type 2 Diabetes, and PCSK9 in LDL cholesterol, amongst others. Notably candidate core genes are preferentially enriched for disease relevance over GWAS hits and are enriched for both Clinvar pathogenic variants and known drug targets-consistent with the predictions of the omnigenic model. We subsequently use parent term annotations provided by the GWAS catalog, to merge related GWAS studies and identify candidate core genes in over-arching disease processes such as cancer-where we identify 109 candidate core genes.

Published
2020
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2. The SWI/SNF Protein PBRM1 Restrains VHL-Loss-Driven Clear Cell Renal Cell Carcinoma

Author

Amrita M. Nargund, Can G. Pham, Yiyu Dong, Patricia I. Wang, Hatice U. Osmangeyoglu, Yuchen Xie, Omer Aras, Song Han, Toshinao Oyama, Shugaku Takeda, Chelsea E. Ray, Zhenghong Dong, Mathieu Berge, A. Ari Hakimi, Sebastien Monette, Carl L. Lekaye, Jason A. Koutcher, Christina S. Leslie, Chad J. Creighton, Nils Weinhold, William Lee, Satish K. Tickoo, Zhong Wang, Emily H. Cheng, and James J. Hsieh

Subjects
kidney cancer, ccRCC, mouse tumor model, VHL, PBRM1, HIF1, STAT3, MTOR, genetics, epigenetics, Biology (General), QH301-705.5
Abstract

PBRM1 is the second most commonly mutated gene after VHL in clear cell renal cell carcinoma (ccRCC). However, the biological consequences of PBRM1 mutations for kidney tumorigenesis are unknown. Here, we find that kidney-specific deletion of Vhl and Pbrm1, but not either gene alone, results in bilateral, multifocal, transplantable clear cell kidney cancers. PBRM1 loss amplified the transcriptional outputs of HIF1 and STAT3 incurred by Vhl deficiency. Analysis of mouse and human ccRCC revealed convergence on mTOR activation, representing the third driver event after genetic inactivation of VHL and PBRM1. Our study reports a physiological preclinical ccRCC mouse model that recapitulates somatic mutations in human ccRCC and provides mechanistic and therapeutic insights into PBRM1 mutated subtypes of human ccRCC.

Published
2017
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3. Pan-cancer analysis of bi-allelic alterations in homologous recombination DNA repair genes

Author

Ronglai Shen, Larry Norton, Daniel S. Higginson, Jorge S. Reis-Filho, Nadeem Riaz, Nils Weinhold, Simon N. Powell, Raymond S. Lim, Britta Weigelt, and Pedro Blecua

Subjects
0301 basic medicine, DNA repair, Science, Mutation, Missense, General Physics and Astronomy, Biology, General Biochemistry, Genetics and Molecular Biology, Article, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Germline mutation, Neoplasms, medicine, Humans, Allele, lcsh:Science, Gene, Genetics, Multidisciplinary, Recombinational DNA Repair, General Chemistry, medicine.disease, Phenotype, 3. Good health, 030104 developmental biology, chemistry, 030220 oncology & carcinogenesis, lcsh:Q, Homologous recombination, Ovarian cancer, DNA, Genes, Neoplasm
Abstract

BRCA1 and BRCA2 are involved in homologous recombination (HR) DNA repair and are germ-line cancer pre-disposition genes that result in a syndrome of hereditary breast and ovarian cancer (HBOC). Whether germ-line or somatic alterations in these genes or other members of the HR pathway and if mono- or bi-allelic alterations of HR-related genes have a phenotypic impact on other cancers remains to be fully elucidated. Here, we perform a pan-cancer analysis of The Cancer Genome Atlas (TCGA) data set and observe that bi-allelic pathogenic alterations in homologous recombination (HR) DNA repair-related genes are prevalent across many malignancies. These bi-allelic alterations often associate with genomic features of HR deficiency. Further, in ovarian, breast and prostate cancers, bi-allelic alterations are mutually exclusive of each other. The combination of these two properties facilitates reclassification of variants of unknown significance affecting DNA repair genes, and may help personalize HR directed therapies in the clinic., Germline mutations in homologous recombination (HR) DNA repair genes are linked to breast and ovarian cancer. Here, the authors show that mutually exclusive bi-allelic inactivation of HR genes are present in other cancer types and associated with genomic features of HR deficiency, expanding the potential use of HR-directed therapies.

Published
2017

4. The SWI/SNF Protein PBRM1 Restrains VHL-Loss-Driven Clear Cell Renal Cell Carcinoma

Author

Christina S. Leslie, Mathieu Berge, Toshinao Oyama, A. Ari Hakimi, Patricia Wang, Song Han, Hatice U. Osmangeyoglu, Amrita M. Nargund, Zhenghong Dong, Emily H. Cheng, Chad J. Creighton, James J. Hsieh, Yiyu Dong, Omer Aras, Yuchen Xie, Shugaku Takeda, Nils Weinhold, Satish K. Tickoo, Can G. Pham, Carl Lekaye, Jason A. Koutcher, Zhong Wang, Chelsea E. Ray, William Lee, and Sebastien Monette

Subjects
0301 basic medicine, Transcription, Genetic, Somatic cell, Hydronephrosis, Kidney, medicine.disease_cause, Oxidative Phosphorylation, PBRM1, STAT3, Mice, genetics, lcsh:QH301-705.5, MTOR, Nuclear Proteins, kidney cancer, Kidney Neoplasms, SWI/SNF, 3. Good health, DNA-Binding Proteins, Gene Expression Regulation, Neoplastic, Von Hippel-Lindau Tumor Suppressor Protein, Signal Transduction, STAT3 Transcription Factor, HIF1, Down-Regulation, mouse tumor model, Mechanistic Target of Rapamycin Complex 1, Biology, Article, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, HMGB Proteins, VHL, medicine, Animals, Humans, Epigenetics, Carcinoma, Renal Cell, PI3K/AKT/mTOR pathway, Integrases, epigenetics, Gene Expression Profiling, ccRCC, Hypoxia-Inducible Factor 1, alpha Subunit, medicine.disease, Clear cell renal cell carcinoma, 030104 developmental biology, lcsh:Biology (General), Cancer research, Carcinogenesis, Gene Deletion, Clear cell, Transcription Factors
Abstract

PBRM1 is the second most commonly mutated gene after VHL in clear cell renal cell carcinoma (ccRCC). However, the biological consequences of PBRM1 mutations for kidney tumorigenesis are unknown. Here, we find that kidney-specific deletion of Vhl and Pbrm1, but not either gene alone, results in bilateral, multifocal, transplantable clear cell kidney cancers. PBRM1 loss amplified the transcriptional outputs of HIF1 and STAT3 incurred by Vhl deficiency. Analysis of mouse and human ccRCC revealed convergence on mTOR activation, representing the third driver event after genetic inactivation of VHL and PBRM1. Our study reports a physiological preclinical ccRCC mouse model that recapitulates somatic mutations in human ccRCC and provides mechanistic and therapeutic insights into PBRM1 mutated subtypes of human ccRCC.

Published
2017

5. Comprehensive genomic characterization of head and neck squamous cell carcinomas

Author

Ni Zhao, Carter Van Waes, Lori Boice, Ashley H. Salazar, Petar Stojanov, Michael B. Prystowsky, Akinyemi I. Ojesina, Tara M. Lichtenberg, Nikolaus Schultz, Joshua M. Stuart, Mitchell J. Frederick, Julie M. Gastier-Foster, Jeffrey N. Myers, Bradley A. Ozenberger, Margaret L. Gulley, Jean C. Zenklusen, Inanc Birol, Christina Yau, Mark E. Sherman, Saianand Balu, Angela Hadjipanayis, Barry S. Taylor, Piotr A. Mieczkowski, Anthony Saleh, Carol G. Shores, Ezra E.W. Cohen, Joonil Jung, Ari B. Kahn, Lisa Wise, Peter S. Hammerman, Pei Lin, Marc Ladanyi, Mark C. Weissler, Scott L. Carter, Michele C. Hayward, Rehan Akbani, Todd Pihl, J. Jack Lee, Sophie C. Egea, Harshad S. Mahadeshwar, Leigh B. Thorne, Matthew G. Soloway, Troy Shelton, Andrea Haddad, William N. William, Wiktoria Maria Suchorska, Johanna Gardner, Marco A. Marra, Julie Ahn, Travis I. Zack, Lihua Zou, Bayardo Perez-Ordonez, David A. Wheeler, Daniel Crain, Adrian Ally, Deepak Srinivasan, Jay Bowen, Aaron D. Black, Jing Wang, Ludmila Danilova, Roy Tarnuzzer, Brenda Diergaarde, Tod D. Casasent, Dean Cheng, Giovanni Ciriello, Ken Burnett, Jeff Bruce, Wojciech Golusiński, Jonathan G. Seidman, Corbin D. Jones, Daniel J. Weisenberger, Lisa A. Peterson, Thomas M. Harris, Angeliki Pantazi, Nina Thiessen, Curtis R. Pickering, Chandra Sekhar Pedamallu, Yingchun Liu, William Lee, Andrzej Mackiewicz, Hailei Zhang, Ronglai Shen, B. Arman Aksoy, Lixing Yang, Jeffrey Roach, Simion I. Chiosea, John Waldron, David Van Den Berg, James Stephen Marron, Tanja Davidsen, Liming Yang, Maciej Wiznerowicz, Benjamin Gross, Paul M. Weinberger, Yufeng Liu, Reanne Bowlby, Zhixiang Zuo, Bartosz Szybiak, Roni J. Bollag, Samuel S. Freeman, Heather M. Walline, Gad Getz, Scott Morris, Michael S. Noble, Charles Saller, Sahil Seth, Richard A. Gibbs, Jonathan C. Irish, Hollie A. Harper, George E. Sandusky, S. Onur Sumer, Trevor Hackman, Gordon B. Mills, Carol R. Bradford, Payal Sipahimalani, Nipun Kakkar, Robert Penny, Jennifer Drummond, Adam M. Zanation, Rebecca Carlsen, Andrew J. Mungall, Harshavardhan Doddapaneni, James G. Herman, Sylvia Wrenn, Andy Chu, Nilsa C. Ramirez, Patrick Kwok Shing Ng, Patrick K. Kimes, Tina Wong, Mark E. Prince, Han Si, Kristian Cibulskis, Katherine Tarvin, Peter W. Laird, Jiabin Tang, Raja R. Seethala, Michael Parfenov, Jan F. Prins, Erin Curley, Hui Cheng, Donna M. Muzny, Lynda Chin, D. Neil Hayes, Margi Sheth, Carmen Gomez-Fernandez, Jessica Walton, Paul C. Boutros, Ariane Nguyen, Kristen M. Leraas, Robert L. Ferris, Greg Eley, Christopher C. Benz, Jaegil Kim, Thomas E. Carey, Douglas B. Chepeha, Janae V. Simons, Jiexin Zhang, Laura S. Rozek, Maureen A. Sartor, Christopher A. Bristow, Justin A. Bishop, Adel K. El-Naggar, Nishant Agrawal, Yiling Lu, Carrie Sougnez, Evan G. Taylor, Raju Kucherlapati, Scott M. Lippman, Colleen Mitchell, Wendell G. Yarbrough, Chu Chen, Donghui Tan, Bhishamjit S. Chera, Michael Mayo, Wenbin Liu, Ranabir Guin, W. Kimryn Rathmell, Mayya Malakh, Jessica Frick, John N. Weinstein, Kevin Lau, Michelle Q. Pham, Gideon Dresdner, Luc G. T. Morris, David Mallery, Zhining Wang, Yichao Sun, Lynn M. Herbert, Christine M. Komarck, Lauren Averett Byers, Angela Tam, Thomas Bodenheimer, Doug Voet, Christie Kovar, Junyuan Wu, Walker Hale, Charles M. Perou, Angela B.Y. Hui, Kenna R. Mills Shaw, Timothy J. Triche, Dong Zeng, Steven J.M. Jones, Matthew D. Wilkerson, Jinze Liu, Yan Guo, Hsu Chao, Tamara R. Jones, Katherine A. Hoadley, Stuart R. Jefferys, Thomas C. Motter, Matthew Meyerson, Konstanty Korski, Timothy A. Chan, Mark A. Jensen, Julien Baboud, Alexei Protopopov, David I. Heiman, Nils Gehlenborg, Heidi J. Sofia, Aaron D. Tward, Eric S. Lander, Yunhu Wan, Scot Waring, Peggy Yena, Robert I. Haddad, Daniel DiCara, Gordon Saksena, Juok Cho, Richard A. Moore, Darshan Singh, Peter J. Park, Matthew Ibbs, Robert A. Holt, Andrew D. Cherniack, Tanguy Y. Seiwert, Lee Lichtenstein, Anders Jacobsen, Rameen Beroukhim, Brandee T. Brown, Stephen C. Benz, Paweł Golusiński, Vonn Walter, Lixia Diao, Erik Zmuda, Scott Frazer, Michael S. Lawrence, Nils Weinhold, Jacqueline E. Schein, Xiaojia Ren, Denise Brooks, Elizabeth Buda, Jianjiong Gao, Jianhua Zhang, William W. Shockley, J. Todd Auman, Xingzhi Song, Jennifer R. Grandis, Jonathan B. McHugh, Stacey Gabriel, Martin L. Ferguson, Jeffrey S. Reid, Joseph Paulauskis, Umadevi Veluvolu, John A. Demchok, Moiz S. Bootwalla, Fei-Fei Liu, Alan P. Hoyle, Shaowu Meng, Mei Huang, Ann Marie Egloff, Christina Beard, Liu Xi, Ricardo Ramirez, Donna Morton, Lisle E. Mose, Leslie Cope, Marjorie Romkes, Zubair Khan, Noreen Dhalla, Candace Shelton, Boris Reva, Stephen B. Baylin, Miruna Balasundaram, Psalm Haseley, Andrew Wei Xu, Yan Shi, A. Gordon Robertson, Gregory T. Wolf, Darlene Lee, Steven E. Schumacher, Semin Lee, Rileen Sinha, Dennis T. Maglinte, Haiyan I. Li, William K. Funkhouser, Yi Han, Sam Ng, Joel S. Parker, Kai Wang, Zhong Chen, You Hong Fan, Yaron S.N. Butterfield, Jeffrey S. Moyer, Robert A. Burton, David Pot, Chris Sander, Daryl Waggott, Joseph A. Califano, Netty Santoso, and Kyle Chang

Subjects
Male, DNA Copy Number Variations, Somatic cell, Biology, Article, 03 medical and health sciences, 0302 clinical medicine, CDKN2A, Humans, HRAS, Molecular Targeted Therapy, RNA, Neoplasm, Gene, neoplasms, 030304 developmental biology, Genetics, 0303 health sciences, Multidisciplinary, Oncogene, Genome, Human, Squamous Cell Carcinoma of Head and Neck, Wnt signaling pathway, DNA, Neoplasm, Genomics, Oncogenes, Cell cycle, 3. Good health, Gene Expression Regulation, Neoplastic, Head and Neck Neoplasms, 030220 oncology & carcinogenesis, Mutation, Cancer research, Carcinoma, Squamous Cell, Female, FAT1, Signal Transduction, Transcription Factors
Abstract

The Cancer Genome Atlas profiled 279 head and neck squamous cell carcinomas (HNSCCs) to provide a comprehensive landscape of somatic genomic alterations. Here we show that human-papillomavirus-associated tumours are dominated by helical domain mutations of the oncogene PIK3CA, novel alterations involving loss of TRAF3, and amplification of the cell cycle gene E2F1. Smoking-related HNSCCs demonstrate near universal loss-of-function TP53 mutations and CDKN2A inactivation with frequent copy number alterations including amplification of 3q26/28 and 11q13/22. A subgroup of oral cavity tumours with favourable clinical outcomes displayed infrequent copy number alterations in conjunction with activating mutations of HRAS or PIK3CA, coupled with inactivating mutations of CASP8, NOTCH1 and TP53. Other distinct subgroups contained loss-of-function alterations of the chromatin modifier NSD1, WNT pathway genes AJUBA and FAT1, and activation of oxidative stress factor NFE2L2, mainly in laryngeal tumours. Therapeutic candidate alterations were identified in most HNSCCs.

Published
2015

6. Recurrent SERPINB3 and SERPINB4 mutations in patients who respond to anti-CTLA4 immunotherapy

Author

Timothy A. Chan, Sviatoslav M. Kendall, Logan A. Walsh, Jonathan J. Havel, Nadeem Riaz, Alexis Desrichard, Vladimir Makarov, and Nils Weinhold

Subjects
0301 basic medicine, medicine.medical_treatment, Ipilimumab, medicine.disease_cause, Article, Autoimmunity, Cohort Studies, 03 medical and health sciences, Antigen, Antigens, Neoplasm, Genetics, medicine, Humans, Melanoma, Serpins, biology, Antibodies, Monoclonal, Immunotherapy, medicine.disease, Survival Analysis, Immune checkpoint, Blockade, Ovalbumin, 030104 developmental biology, Mutation, Immunology, biology.protein, medicine.drug
Abstract

Immune checkpoint blockade has shown significant promise as an anti-cancer treatment, yet the determinants of response are not completely understood. Here, we show that somatic mutations in SERPINB3 and SERPINB4 are associated with survival following anti-CTLA4 immunotherapy in two independent cohorts of melanoma patients (n=174). Interestingly, serpins are homologues of the well-known ovalbumin antigen and are associated with autoimmunity. Our findings have implications for the personalization of immunotherapy.

Published
2016

7. Chromosome-wise Protein Interaction Patterns and Their Impact on Functional Implications of Large-Scale Genomic Aberrations

Author

Anders Juul, Nils Weinhold, Søren Brunak, Thomas Skøt Jensen, Isa Kristina Kirk, Niels E. Skakkebæk, Kirstine Belling, and Henrik Leffers

Subjects
0301 basic medicine, Histology, Chromosomes, Human, Pair 21, Gene Dosage, Aneuploidy, Trisomy, Biology, Chromosomes, Pathology and Forensic Medicine, Protein–protein interaction, Transcriptome, Mice, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Protein Interaction Mapping, Gene expression, medicine, Animals, Humans, Protein function prediction, Gene, Oligonucleotide Array Sequence Analysis, Chromosome Aberrations, Genetics, Gene Expression Profiling, Chromosome, Genomics, Cell Biology, medicine.disease, 030104 developmental biology, Down Syndrome, Chromosome 21
Abstract

Gene copy-number changes influence phenotypes through gene-dosage alteration and subsequent changes of protein complex stoichiometry. Human trisomies where gene copy numbers are increased uniformly over entire chromosomes provide generic cases for studying these relationships. In most trisomies, gene and protein level alterations have fatal consequences. We used genome-wide protein-protein interaction data to identify chromosome-specific patterns of protein interactions. We found that some chromosomes encode proteins that interact infrequently with each other, chromosome 21 in particular. We combined the protein interaction data with transcriptome data from human brain tissue to investigate how this pattern of global interactions may affect cellular function. We identified highly connected proteins that also had coordinated gene expression. These proteins were associated with important neurological functions affecting the characteristic phenotypes for Down syndrome and have previously been validated in mouse knockout experiments. Our approach is general and applicable to other gene-dosage changes, such as arm-level amplifications in cancer.

Published
2017
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8. The impact of the protein interactome on the syntenic structure of mammalian genomes

Author

Kirstine Belling, Nils Weinhold, Søren Brunak, and Isa Kristina Kirk

Subjects
0301 basic medicine, Genetic Linkage, Swine, Gene Expression, lcsh:Medicine, Interactome, Genome, Mice, Gene Order, Protein Interaction Maps, lcsh:Science, Conserved Sequence, Genetics, Mammals, Multidisciplinary, Mammalian Genomics, Chromosome Biology, Chromosome Mapping, Genomics, Chromatin, Order (biology), Vertebrates, Apes, Epigenetics, Algorithms, Research Article, Primates, Pan troglodytes, Computational biology, Biology, ENCODE, Synteny, Human Genomics, Chromosomes, Evolution, Molecular, 03 medical and health sciences, Dogs, Animals, Humans, Chimpanzees, Gene, Sequence (medicine), 030102 biochemistry & molecular biology, lcsh:R, Organisms, Biology and Life Sciences, Computational Biology, Cell Biology, Sequence Analysis, DNA, Comparative Genomics, Genome Analysis, 030104 developmental biology, Animal Genomics, Amniotes, lcsh:Q
Abstract

Conserved synteny denotes evolutionary preserved gene order across species. It is not well understood to which degree functional relationships between genes are preserved in syntenic blocks. Here we investigate whether protein-coding genes conserved in mammalian syntenic blocks encode gene products that serve the common functional purpose of interacting at protein level, i.e. connectivity. High connectivity among protein-protein interactions (PPIs) was only moderately associated with conserved synteny on a genome-wide scale. However, we observed a smaller subset of 3.6% of all syntenic blocks with high-confidence PPIs that had significantly higher connectivity than expected by random. Additionally, syntenic blocks with high-confidence PPIs contained significantly more chromatin loops than the remaining blocks, indicating functional preservation among these syntenic blocks. Conserved synteny is typically defined by sequence similarity. In this study, we also examined whether a functional relationship, here PPI connectivity, can identify syntenic blocks independently of orthology. While orthology-based syntenic blocks with high-confident PPIs and the connectivity-based syntenic blocks largely overlapped, the connectivity-based approach identified additional syntenic blocks that were not found by conventional sequence-based methods alone. Additionally, the connectivity-based approach enabled identification of potential orthologous genes between species. Our analyses demonstrate that subsets of syntenic blocks are associated with highly connected proteins, and that PPI connectivity can be used to detect conserved synteny even if sequence conservation drifts beyond what orthology algorithms normally can identify.

Published
2017

9. Genome-wide analysis of noncoding regulatory mutations in cancer

Author

Nikolaus Schultz, William Lee, Anders Jacobsen, Chris Sander, and Nils Weinhold

Subjects
Genetics, Cancer genome sequencing, Comparative genomics, Genome evolution, Gene Expression Profiling, Computational Biology, Molecular Sequence Annotation, Genomics, Genome project, Biology, Genome, Article, 3. Good health, Gene Expression Regulation, Neoplastic, Succinate Dehydrogenase, Neoplasms, Mutation, Humans, Regulatory Elements, Transcriptional, Telomerase, Exome, Exome sequencing
Abstract

Cancer primarily develops because of somatic alterations in the genome. Advances in sequencing have enabled large-scale sequencing studies across many tumor types, emphasizing the discovery of alterations in protein-coding genes. However, the protein-coding exome comprises less than 2% of the human genome. Here we analyze the complete genome sequences of 863 human tumors from The Cancer Genome Atlas and other sources to systematically identify noncoding regions that are recurrently mutated in cancer. We use new frequency- and sequence-based approaches to comprehensively scan the genome for noncoding mutations with potential regulatory impact. These methods identify recurrent mutations in regulatory elements upstream of PLEKHS1, WDR74 and SDHD, as well as previously identified mutations in the TERT promoter. SDHD promoter mutations are frequent in melanoma and are associated with reduced gene expression and poor prognosis. The non-protein-coding cancer genome remains widely unexplored, and our findings represent a step toward targeting the entire genome for clinical purposes.

Published
2014

10. ChemProt: a disease chemical biology database

Author

Thomas Skøt Jensen, Alina Bora, Søren Brunak, Ramona Curpan, Sonny Kim Nielsen, Irene Kouskoumvekaki, Tudor I. Oprea, Karine Audouze, Olivier Taboureau, Nils Weinhold, Daniel Edsgärd, and Francisco S. Roque

Subjects
Database, Databases, Factual, Drug discovery, In silico, Chemical biology, Proteins, Disease, Drug action, Articles, Biology, Bioinformatics, computer.software_genre, SDG 3 - Good Health and Well-being, Genes, Pharmaceutical Preparations, Drug Discovery, Protein Interaction Mapping, Genetics, Humans, computer, Organism, Biological network, Systems pharmacology
Abstract

Systems pharmacology is an emergent area that studies drug action across multiple scales of complexity, from molecular and cellular to tissue and organism levels. There is a critical need to develop network-based approaches to integrate the growing body of chemical biology knowledge with network biology. Here, we report ChemProt, a disease chemical biology database, which is based on a compilation of multiple chemical-protein annotation resources, as well as disease-associated protein-protein interactions (PPIs). We assembled more than 700,000 unique chemicals with biological annotation for 30,578 proteins. We gathered over 2-million chemical-protein interactions, which were integrated in a quality scored human PPI network of 428,429 interactions. The PPI network layer allows for studying disease and tissue specificity through each protein complex. ChemProt can assist in the in silico evaluation of environmental chemicals, natural products and approved drugs, as well as the selection of new compounds based on their activity profile against most known biological targets, including those related to adverse drug events. Results from the disease chemical biology database associate citalopram, an antidepressant, with osteogenesis imperfect and leukemia and bisphenol A, an endocrine disruptor, with certain types of cancer, respectively. The server can be accessed at http://www.cbs.dtu.dk/services/ChemProt/.

Published
2010

11. Genomic Classification of Cutaneous Melanoma

Author

W. Kimryn Rathmell, Lauren E. Haydu, Nils Gehlenborg, David Mallery, Lynn M. Herbert, Hailei Zhang, Darlene Lee, Payal Sipahimalani, Richard A. Scolyer, Jonathan R. Stretch, Amanda Clarke, Sudha Chudamani, Dirk Schadendorf, Jeffrey Roach, Troy Shelton, Kerwin F. Shannon, Kadir C. Akdemir, Alexander J. Lazar, Lixing Yang, D. Murawa, Jingchun Zhu, Michael Mayo, Steven E. Schumacher, Marc Ladanyi, Yiling Lu, Levi A. Garraway, Andrew J. Spillane, Giandomenico Russo, Ian R. Watson, Matthew D. Wilkerson, Mei Huang, Chang Jiun Wu, Pedamallu Chandra Sekhar, Laura Brockway-Lunardi, Wiktoria Maria Suchorska, Michael A. Davies, John M. S. Bartlett, Benjamin Gross, Mark Gerken, Georgy Manikhas, William R. Jeck, Michael Dinikin, Sam Ng, Antje Sucker, Sharon K. Huang, Donghui Tan, Semin Lee, Da Yang, Yardena Samuels, Boris C. Bastian, Katherine A. Hoadley, Kenna R. Mills Shaw, Shaowu Meng, Kunal Rai, Sheila Fisher, Tom Bodenheimer, Robyn P. M. Saw, Joel S. Parker, Victoria Fulidou, Scot Waring, Vesteinn Thorsson, Jacqueline E. Schein, Heidi J. Sofia, Jia Liu, Eric S. Lander, Martin L. Miller, Scott E. Woodman, Yunhu Wan, Olga Voronina, Brenda Ayala, Moiz S. Bootwalla, Rileen Sinha, Yonathan Lissanu Deribe, Yussanne Ma, Gabriel Sica, Matthew Ibbs, Pam Bartlett, Arkadiusz Spychała, Sheila Reynolds, Nikolaus Schultz, Jianhua Zhang, Stephen B. Baylin, Saianand Balu, Jay Bowen, Eran Hodis, Olga Potapova, Lori Boice, Julie M. Gastier-Foster, Singer Ma, Victor G. Prieto, Steven J.M. Jones, Konstantin V. Fedosenko, Rehan Akbani, Todd Pihl, Ruibin Xi, Stergios J. Moschos, Lisa Iype, Robert Penny, Vonn Walter, Peter Hersey, Umadevi Veluvolu, Jiabin Tang, Mark A. Jensen, Aaron Chevalier, Nils Weinhold, Yaron S.N. Butterfield, S. Onur Sumer, Lisle E. Mose, Leslie Cope, Angela Tam, Carmelo Gaudioso, Giovanni Ciriello, Jaegil Kim, Noreen Dhalla, Candace Shelton, Andrzej Mackiewicz, Travis I. Zack, James G. Herman, Lisa Zimmer, Chia Chin Wu, Elena Pagani, Franklin W. Huang, Tanja Davidsen, Stuart R. Jefferys, Andy Chu, Harmanjatinder S. Sekhon, Richard A. Moore, Scott L. Carter, Ludmila Danilova, Peter W. Laird, Nicholas K. Hayward, Julien Baboud, A. Gordon Robertson, Scott Morris, Honorata Tatka, Gordon Saksena, Robert A. Holt, Angela Hadjipanayis, Jakub Brzezinski, Lihua Zou, Nilsa C. Ramirez, Witold Kycler, Yasin Senbabaoglu, Xingzhi Song, Barbara Tabak, Christopher C. Benz, Michael Dubina, Wei Zhang, Sophie Egea, Fedor Moiseenko, Marcus Bosenberg, Piotr A. Mieczkowski, Michael J. Quinn, Harindra Arachchi, Andrew J. Mungall, Lynn Cherney, Suresh Ramalingam, Christopher A. Bristow, Hojabr Kakavand, Chris Sander, Peiling Tsou, Anil Korkut, Alan P. Hoyle, Arshi Arora, Kenneth K. Lee, Netty Santoso, Raymond J. Cho, Ricardo Ramirez, Melissa Saul, Haiyan I. Li, Jeremy Parfitt, Valerie Jakrot, Tiffany L. Calderone, Jessica Frick, John N. Weinstein, Brady Bernard, John M. Kirkwood, Dave S.B. Hoon, Carolyn J. Shiau, Carmen Gomez-Fernandez, Michael Krauthammer, Carrie Sougnez, George E. Sandusky, Xiaojia Ren, Charles Schwallier, Carolyn M. Hutter, Radoslaw Łaźniak, Dmitry Belyaev, Richard F. Kefford, Jeffrey M. Trent, Ouida Liu, J. Stephen Ebrom, Yoon La Choi, Maciej Wiznerowicz, Ranabir Guin, Yan Shi, Ewa Leporowska, Zhenlin Ju, Charles Saller, Hyojin Kang, Jean C. Zenklusen, Tony Gutschner, Peter White, Luigi Nezi, Oxana Paklina, Harshad S. Mahadeshwar, Wiam Bshara, Roeland Verhaak, Kenneth Y. Tsai, Ilya Shmulevich, Kristian Cibulskis, Jonathan G. Seidman, Corbin D. Jones, Ayush T. Raman, D. Neil Hayes, Nandita Barnabas, Uma Rao, Jennifer Eschbacher, Timothy R. Fennell, Jeffrey E. Lee, Matthew Meyerson, Jeffrey E. Gershenwald, Elizabeth Buda, Xiaobei Zhao, Jason Roszik, M. Teresiak, Daniel DiCara, Pei Lin, Eliezer M. Van Allen, Scott Frazer, Genevieve M. Boland, Zhining Wang, Susan Hoppough, Konstanty Korski, Michael S. Noble, B. Arman Aksoy, Reanne Bowlby, Adeboye Osunkoya, Taofeek K. Owonikoko, Madhusmita Behera, Shiyun Ling, Erin Curley, Rajiv Dhir, Andrew Wei Xu, David I. Heiman, Samirkumar B. Amin, Andrew D. Cherniack, Brenna Matejka, Rameen Beroukhim, Michael S. Lawrence, Kelsey Zhu, Wen-Bin Liu, Stacey Gabriel, Martin L. Ferguson, Samantha Sharpe, Giannicola Genovese, Jay Engel, Johanna Gardner, Junyuan Wu, Marco A. Marra, Roy Tarnuzzer, John F. Thompson, Denise Brooks, Lawrence N. Kwong, Woong-Yang Park, Daniel J. Weisenberger, J. Todd Auman, Kristen M. Leraas, Margi Sheth, Riccardo Bono, John A. Demchok, Stefania D'Atri, Candace D. Carter, Miruna Balasundaram, Natalie Bir, Matthew G. Soloway, Angeliki Pantazi, Sahil Seth, Qixia A. Deng, Junehawk Lee, Dana Nicholson, Ye Wu, Keith T. Flaherty, Peter J. Park, Amie Radenbaugh, Benjamin Hanf, Katherine Tarvin, James S. Wilmott, Giancarlo Antonini Cappellini, Pawel Murawa, Maria Synott, Jonna Grimsby, Stephen Coons, Joachim Klode, Michael Button, Alyssa Janning, Alexei Protopopov, Florian L. Muller, Donald L. Morton, Joshua M. Stuart, Ina Felau, Cindy Sander, Ruth Halaban, John P. Miller, David Haussler, Monique Albert, Charles M. Perou, Timothy J. Triche, Yichao Sun, Aaron D. Black, Adrian Ally, Sousan Mehrabi, David Van Den Berg, Graham J. Mann, Erik Zmuda, Carl Morrison, Daniel Crain, Douglas Voet, Janae V. Simons, Norman E. Sharpless, Fadlo R. Khuri, Phillip H. Lai, Liming Yang, Anders Jacobsen, Keith A. Delman, Teresa R. Tabler, Gad Getz, Tara M. Lichtenberg, William Lee, Georgina V. Long, Nina Thiessen, Ronglai Shen, Francesca Passarelli, Bradley A. Ozenberger, Gordon B. Mills, Jessica Walton, Greg Eley, Leigh B. Thorne, Merrick I. Ross, Jared Malke, Barry S. Taylor, Juok Cho, William R. Burns, Michael Parfenov, Thomas Gribbin, Yuling Wang, Raju Kucherlapati, Lynda Chin, Bradley A. Murray, Lee Lichtenstein, Jianjiong Gao, and Lisa Wise

Subjects
Skin Neoplasms, Mutant, Medizin, Biology, General Biochemistry, Genetics and Molecular Biology, Subclass, Article, Transcriptome, chemistry.chemical_compound, Databases, Genetic, medicine, Humans, Gene, Melanoma, Genetics, Biochemistry, Genetics and Molecular Biology(all), Cancer, Binimetinib, medicine.disease, National Cancer Institute (U.S.), United States, 3. Good health, chemistry, Cutaneous melanoma, Mutation, Cancer research
Abstract

Summary We describe the landscape of genomic alterations in cutaneous melanomas through DNA, RNA, and protein-based analysis of 333 primary and/or metastatic melanomas from 331 patients. We establish a framework for genomic classification into one of four subtypes based on the pattern of the most prevalent significantly mutated genes: mutant BRAF , mutant RAS , mutant NF1 , and Triple-WT (wild-type). Integrative analysis reveals enrichment of KIT mutations and focal amplifications and complex structural rearrangements as a feature of the Triple-WT subtype. We found no significant outcome correlation with genomic classification, but samples assigned a transcriptomic subclass enriched for immune gene expression associated with lymphocyte infiltrate on pathology review and high LCK protein expression, a T cell marker, were associated with improved patient survival. This clinicopathological and multi-dimensional analysis suggests that the prognosis of melanoma patients with regional metastases is influenced by tumor stroma immunobiology, offering insights to further personalize therapeutic decision-making.

Published
2015

12. Exonuclease mutations in DNA polymerase epsilon reveal replication strand specific mutation patterns and human origins of replication

Author

A. Yasemin Göksenin, Hsu Chao, Eve Shinbrot, Erin E. Henninger, Zachary F. Pursell, David A. Wheeler, Kyle R. Covington, Chris Sander, Harshavardhan Doddapaneni, Donna M. Muzny, Nikolaus Schultz, Nils Weinhold, and Richard A. Gibbs

Subjects
DNA Replication, Exonucleases, Models, Molecular, Mutation rate, DNA polymerase II, Nonsense mutation, DNA Mutational Analysis, DNA polymerase epsilon, Mutation, Missense, Replication Origin, Ataxia Telangiectasia Mutated Proteins, medicine.disease_cause, Phosphatidylinositol 3-Kinases, Neoplasms, Databases, Genetic, Genetics, medicine, Humans, Mutation frequency, Genetics (clinical), DNA Polymerase III, Mutation, biology, Point mutation, Research, DNA Polymerase II, Molecular biology, Protein Structure, Tertiary, Class Ia Phosphatidylinositol 3-Kinase, Codon, Nonsense, biology.protein, Dynamic mutation, Microsatellite Instability, Tumor Suppressor Protein p53, Genome-Wide Association Study
Abstract

Tumors with somatic mutations in the proofreading exonuclease domain of DNA polymerase epsilon (POLE-exo*) exhibit a novel mutator phenotype, with markedly elevated TCT→TAT and TCG→TTG mutations and overall mutation frequencies often exceeding 100 mutations/Mb. Here, we identify POLE-exo* tumors in numerous cancers and classify them into two groups, A and B, according to their mutational properties. Group A mutants are found only in POLE, whereas Group B mutants are found in POLE and POLD1 and appear to be nonfunctional. In Group A, cell-free polymerase assays confirm that mutations in the exonuclease domain result in high mutation frequencies with a preference for C→A mutation. We describe the patterns of amino acid substitutions caused by POLE-exo* and compare them to other tumor types. The nucleotide preference of POLE-exo* leads to increased frequencies of recurrent nonsense mutations in key tumor suppressors such as TP53, ATM, and PIK3R1. We further demonstrate that strand-specific mutation patterns arise from some of these POLE-exo* mutants during genome duplication. This is the first direct proof of leading strand-specific replication by human POLE, which has only been demonstrated in yeast so far. Taken together, the extremely high mutation frequency and strand specificity of mutations provide a unique identifier of eukaryotic origins of replication.

Published
2014

13. Characterization of HPV and host genome interactions in primary head and neck cancers

Author

J. Jack Lee, Carter Van Waes, Michael B. Prystowsky, Akinyemi I. Ojesina, Joshua M. Stuart, Mitchell J. Frederick, Angela By Hui, Saianand Balu, Scot Waring, Inanc Birol, Bayardo Perez-Ordonez, Aaron D. Black, Payal Sipahimalani, Wiktoria Maria Suchorska, Michele C. Hayward, Jeffrey Roach, Adrian Ally, Ranabir Guin, Samuel S. Freeman, J. Todd Auman, Hollie A. Harper, Mark E. Prince, David Van Den Berg, Nipun Kakkar, James G. Herman, Adam M. Zanation, Nilsa C. Ramirez, Daniel DiCara, Carol R. Bradford, Paul C. Boutros, Peter W. Laird, Evan G. Taylor, Yan Shi, Jonathan M. Irish, Kristian Cibulskis, Junyuan Wu, Darlene Lee, Katherine A. Hoadley, Jeff Bruce, Yingchun Liu, Heather M. Walline, Carol G. Shores, Raju Kucherlapati, Scott M. Lippman, Colleen Mitchell, Steven E. Schumacher, Wendell G. Yarbrough, Tanguy Y. Seiwert, Sophie C. Egea, Elena Ivanova, Troy Shelton, Jiexin Zhang, Patrick K. Kimes, Nikolaus Schultz, Noreen Dhalla, Maciej Wiznerowicz, Daniel J. Weisenberger, Martin L. Ferguson, Tamara R. Jones, Haiyan I. Li, Nishant Agrawal, Yiling Lu, Lixing Yang, Brandee T. Brown, Julie M. Gastier-Foster, Nils Weinhold, Harshad S. Mahadeshwar, Angela Tam, Lihua Zou, Tom Bodenheimer, Gordon B. Mills, W. Kimryn Rathmell, David Mallery, Semin Lee, Scott J. Morris, Lynn M. Herbert, Hailei Zhang, Thomas C. Motter, Walker Hale, Tina Wong, Yichao Sun, Heidi J. Sofia, Rileen Sinha, Dennis T. Maglinte, Robert I. Haddad, Matthew D. Wilkerson, Jinze Liu, Julien Baboud, Brenda Diergaarde, Michelle Q. Pham, Tanja M. Davidsen, Maureen A. Sartor, Robert A. Holt, Angela Hadjipanayis, Pei Lin, Anders Jacobsen, Stephen C. Benz, Dean Cheng, Matthew Meyerson, Andy Chu, Ezra E.W. Cohen, Joonil Jung, Ari B. Kahn, Scott Frazer, Leigh B. Thorne, Andrew J. Mungall, David A. Wheeler, Nina Thiessen, Jay Bowen, Hui Cheng, D. Neil Hayes, Jennifer Drummond, Patrick Kwok Shing Ng, Harshavardhan Doddapaneni, S. Onur Sumer, Katherine Tarvin, John W.F. Waldron, Nils Gehlenborg, Douglas B. Chepeha, Janae V. Simons, Robert L. Ferris, Paweł Golusiński, Christina Beard, Donna Morton, Boris Reva, Psalm Haseley, Andrew Wei Xu, Giovanni Ciriello, Gregory T. Wolf, Ken Burnett, Lisa A. Peterson, Sylvia Wrenn, Mark A. Jensen, Travis I. Zack, Deepak Srinivasan, Thomas E. Carey, Lisle E. Mose, Mark E. Sherman, Leslie Cope, Adel K. El-Naggar, Marjorie Romkes, D Wheeler, Christopher A. Bristow, Andrea Haddad, Mayya Malakh, Ludmila Danilova, Jean C. Zenklusen, Jiabin Tang, Laura S. Rozek, Jon G. Seidman, Steven J.M. Jones, Hsu Chao, Candance Shelton, Carmen Gomez-Fernandez, Carrie Sougnez, Piotr A. Mieczkowski, Lee Lichtenstein, Erik Zmuda, Johanna Gardner, Jianjiong Gao, Marco A. Marra, Juok Cho, Alexei Protopopov, Roy Tarnuzzer, Tod D. Casasent, Timothy M. Chan, Michael Parfenov, Jing Wang, Christine M. Komarck, Lauren Averett Byers, Rehan Akbani, Todd Pihl, Curtis R. Pickering, Aaron D. Tward, Chandra Sekhar Pedamallu, Han Si, Jan F. Prins, Vonn Walter, Simion I. Chiosea, Jacqueline E. Schein, James Stephen Marron, Ariane Nguyen, William W. Shockley, Jennifer R. Grandis, Zhining Wang, Jeffrey N. Myers, Konstanty Korski, Bradley A. Ozenberger, Margaret L. Gulley, Barry S. Taylor, B. Arman Aksoy, Ni Zhao, Ashley H. Salazar, Petar Stojanov, Tara M. Lichtenberg, Chu Chen, Donghui Tan, Bhishamjit S. Chera, Andrzej Mackiewicz, A. Gordon Robertson, Ronglai Shen, Lisa Wise, Charles M. Perou, Michael Mayo, Charles Saller, Timothy J. Triche, Dong Zeng, Yan Guo, Lixia Diao, Jonathan B. McHugh, Zhixiang Zuo, Gad Getz, John A. Demchok, Raja R. Seethala, Gordon Saksena, Liu Xi, Liming Yang, Justin A. Bishop, Jessica Walton, Greg Eley, Jessica Frick, John N. Weinstein, Kevin Lau, Jianhua Zhang, Kenna R. Mills Shaw, Miruna Balasundaram, Zubair Khan, Umadevi Veluvolu, Stuart R. Jefferys, Christie Kovar, Moiz S. Bootwalla, Rebecca Carlsen, Daniel Crain, Fei-Fei Liu, Matthiew Ibbs, Michael S. Noble, William K. Funkhouser, Shaowu Meng, Mei Huang, Ann Marie Egloff, George E. Sandusky, Yi Han, Eric S. Lander, Sam Ng, William Lee, Christina Yau, Reanne Bowlby, Erin Curley, Donna M. Muzny, Lynda Chin, Joel S. Parker, Stephen B. Baylin, Peter S. Hammerman, Julie Ahn, Christopher C. Benz, Benjamin Gross, Paul M. Weinberger, Gideon Dresdner, Luc G. T. Morris, Zhong Chen, You Hong Fan, Angeliki Pantazi, David I. Heiman, Bartosz Szybiak, Sahil Seth, Richard A. Gibbs, Trevor Hackman, Peggy Yena, Richard A. Moore, Darshan Singh, Yaron S.N. Butterfield, Andrew D. Cherniack, Jeffrey S. Moyer, Robert A. Burton, Peter J. Park, Rameen Beroukhim, Ricardo Ramirez, Natalia Issaeva, Michael S. Lawrence, Wen-Bin Liu, Xiaojia Ren, Chris Sander, Yunhu Wan, Daryl Waggott, Joseph A. Califano, David A. Pot, Mathew G. Soloway, Roni J. Bollag, Stacey Gabriel, Jeffrey S. Reid, Netty Santoso, Elizabeth Buda, Doug Voet, Xingzhi Song, Kyle Chang, Joseph Paulauskis, Thomas M. Harris, Jaegil Kim, Alan P. Hoyle, Marc Ladanyi, Anthony Saleh, Mark C. Weissler, Scott L. Carter, Kai Wang, Jonathan G. Seidman, Corbin D. Jones, Wojciech Golusiński, Robert Penny, Margi Sheth, and Lori Boice

Subjects
Cervical Cancer, Genome, head and neck, Cancer Genome Atlas Network, 2.1 Biological and endogenous factors, 2.2 Factors relating to the physical environment, Papillomaviridae, Aetiology, Genetics, Multidisciplinary, biology, HPV infection, virus diseases, Biological Sciences, integration sites, female genital diseases and pregnancy complications, Gene Expression Regulation, Neoplastic, Infectious Diseases, Head and Neck Neoplasms, DNA methylation, Host-Pathogen Interactions, HIV/AIDS, Infection, Human, Virus Integration, Molecular Sequence Data, DNA sequencing, Rare Diseases, medicine, Humans, cancer, Dental/Oral and Craniofacial Disease, Gene, genome rearrangement, Neoplastic, Base Sequence, Genome, Human, Human Genome, DNA Methylation, biology.organism_classification, medicine.disease, Human genetics, Gene Expression Regulation, Genes, Neoplasm, Sexually Transmitted Infections, Human genome, Genes, Neoplasm, papilloma virus
Abstract

Previous studies have established that a subset of head and neck tumors contains human papillomavirus (HPV) sequences and that HPV-driven head and neck cancers display distinct biological and clinical features. HPV is known to drive cancer by the actions of the E6 and E7 oncoproteins, but the molecular architecture of HPV infection and its interaction with the host genome in head and neck cancers have not been comprehensively described. We profiled a cohort of 279 head and neck cancers with next generation RNA and DNA sequencing and show that 35 (12.5%) tumors displayed evidence of high-risk HPV types 16, 33, or 35. Twenty-five cases had integration of the viral genome into one or more locations in the human genome with statistical enrichment for genic regions. Integrations had a marked impact on the human genome and were associated with alterations in DNA copy number, mRNA transcript abundance and splicing, and both inter- and intrachromosomal rearrangements. Many of these events involved genes with documented roles in cancer. Cancers with integrated vs. nonintegrated HPV displayed different patterns of DNA methylation and both human and viral gene expressions. Together, these data provide insight into the mechanisms by which HPV interacts with the human genome beyond expression of viral oncoproteins and suggest that specific integration events are an integral component of viral oncogenesis.

Published
2014

14. The Cancer Genome Atlas Pan-Cancer analysis project

Author

Qunyuan Zhang, B. Arman Aksoy, Fabio Vandin, Eric A. Collisson, Larsson Omberg, S. Onur Sumer, John A. Demchok, Sven Nelander, Vladislav Uzunangelov, Michael C. Wendl, Roger Kramer, John W. Wallis, Brian Craft, Angeliki Pantazi, Leng Han, W. K. Alfred Yung, Brad Ozenberger, Philip L. Lorenzi, James G. Herman, Andy Chu, Sahil Seth, Richard A. Gibbs, Angela Hadjipanayis, Hector Rovira, Peter W. Laird, Inanc Birol, Richard K. Wilson, James Cleland, Peter J. Park, Jiashan Zhang, Payal Sipahimalani, Stanley R. Hamilton, Liming Yang, Seth Lerner, Amie Radenbaugh, Barry S. Taylor, Carrie Hirst, David Tamborero, Stephen B. Baylin, Gad Getz, Tanja Davidsen, Miruna Balasundaram, Cheng Fan, Yuan Yuan, Kristian Cibulskis, Yan Shi, Angela Tam, Divya Kalra, Chris Sander, Scott Abbott, Catrina Fronick, Margi Sheth, Chip Stewart, Angela N. Brooks, Noreen Dhalla, Lam Nguyen, Hui Shen, Travis I. Zack, Andrew J. Mungall, Artem Sokolov, Douglas A. Levine, Carrie Sougnez, Paul T. Spellman, Greg Eley, Deepti Dodda, Wenbin Liu, Michael B. Ryan, Liu Xi, Aaron D. Black, Rong Yao, Saianand Balu, Benjamin P. Berman, Raju Kucherlapati, James M. Melott, Xingzhi Song, Boris Reva, Huyen Dinh, David A. Pot, Michael D. McLellan, Kjong-Van Lehmann, Wenyi Wang, Petar Stojanov, Bradley McIntosh Broom, Timothy J. Ley, Da Yang, Mary Elizabeth Edgerton, Houtan Noushmehr, Mathew G. Soloway, Nina Thiessen, Zhenlin Ju, Mark D.M. Leiserson, Michael Parfenov, Laura van 't Veer, Scott L. Carter, Ludmila Danilova, Adrian Ally, Hailei Zhang, Ina Felau, Carmen Helsel, Kenneth Aldape, Teresia Kling, Charles Lu, Psalm Haseley, A. Gordon Robertson, Andrew Wei Xu, Jessica Frick, Benjamin Gross, Louis M. Staudt, Craig Pohl, Dimitris Anastassiou, Netty Santoso, Donna Muzny, Chad J. Creighton, Donghui Tan, Ryan Bressler, Andrew J. Wong, Barbara Tabak, Yasin Senbabaoglu, Daniel C. Koboldt, Darlene Lee, Doug Voet, Joonil Jung, Hollie A. Harper, Jianhua Zhang, Kyle Chang, Wei Zhao, Marc Ladanyi, Lisa Iype, Ricardo Ramirez, Ami S. Bhatt, Lisle E. Mose, Singer Ma, Abel Gonzalez-Perez, Jonathan G. Seidman, Kosuke Yoshihara, Denise M. Wolf, Corbin D. Jones, Patrik Johansson, Siyuan Zheng, André Kahles, Stacey Gabriel, John N. Weinstein, Han Liang, Samantha Sharpe, Steven E. Schumacher, Matthew Meyerson, D. Neil Hayes, David Haussler, Krishna L. Kanchi, Julie M. Gastier-Foster, Umadevi Veluvolu, Ari B. Kahn, Brady Bernard, Tod D. Casasent, Christopher A. Bristow, Akinyemi I. Ojesina, Sam Ng, Charles M. Perou, Moiz S. Bootwalla, Cyriac Kandoth, Lixing Yang, Joel S. Parker, Alan P. Hoyle, Timothy J. Triche, Dong Zeng, Sean E. McGuire, Christie Kovar, Kim D. Delehaunty, Juok Cho, Alexei Protopopov, Shaowu Meng, Ling Lin, Heather Schmidt, Nils Gehlenborg, Yuexin Liu, Elaine R. Mardis, Martin L. Miller, Jake Lin, Jason Walker, Lisa Wise, Suzanne S. Fei, Jacqueline E. Schein, Semin Lee, Christina Yau, Melisssa Cline, Tara M. Lichtenberg, David I. Heiman, Scot Waring, Richard A. Moore, Margaret B. Morgan, Robert S. Fulton, David E. Larson, Xiaoping Su, Kalle Leinonen, Samirkumar B. Amin, Joshua M. Stuart, J. Todd Auman, Rebecka Jörnsten, Rileen Sinha, Andrew D. Cherniack, Caleb F. Davis, Stephen J. Chanock, Nathan D. Dees, Adam Margolin, Haiyan I. Li, Yaron S.N. Butterfield, Daniel E. Carlin, Tai Hsien Ou Yang, Rameen Beroukhim, Vincent Magrini, Mark P. Hamilton, Grace O. Silva, Nils Weinhold, Harshad S. Mahadeshwar, Michael S. Lawrence, Eric Chuah, Jun Li, Wei Li, Robert A. Burton, Teresa M. Przytycka, Katherine A. Hoadley, Keith A. Baggerly, Sheila M. Reynolds, Daniel DiCara, Tom Bodenheimer, Charles J. Vaske, James M. Eldred, Richard Varhol, Mark A. Jensen, David W. Kane, Xiaojia Ren, Christopher A. Miller, Elizabeth Buda, Li Ding, Michael Mayo, Hsin-Ta Wu, Joelle Kalicki-Veizer, Shelley M. Herbrich, Eunjung Lee, Yingchun Liu, Joshua F. McMichael, Jennifer Drummond, Teresa Swatloski, Harshavardhan Doddapaneni, William Lee, Daniel J. Weisenberger, David A. Wheeler, Chia Chin Wu, Richard Kreisberg, Roeland Verhaak, Elena Helman, Piotr A. Mieczkowski, Mary Goldman, Ilya Shmulevich, Nikolaus Schultz, Min Wang, Lovelace J. Luquette, Marco A. Marra, Todd Pihl, Roy Tarnuzzer, Ronglai Shen, Donna Morton, Yichao Sun, Lawrence A. Donehower, Jun Yao, Theo A. Knijnenburg, Benjamin J. Raphael, Lora Lewis, Peter Waltman, Andrea Eakin, Martin Hirst, Jaegil Kim, Lihua Zou, Ranabir Guin, Yi Han, Scott M. Smith, Hoon Kim, Kristen M. Leraas, Heidi J. Sofia, Erik Zmuda, Matthew D. Wilkerson, Michelle O'Laughlin, Jianjiong Gao, Jeffrey G. Reid, Jing Zhu, Toshinori Hinoue, Gunnar Rätsch, Hye Jung E. Chun, Anders Jacobsen, Stephen C. Benz, Kenna R. Mills Shaw, Gordon B. Mills, Zhining Wang, Cynthia McAllister, Michael S. Noble, Christopher C. Benz, Rehan Akbani, Ruibin Xi, Nianxiang Zhang, Jay Bowen, Wei Zhang, Chandra Sekhar Pedamallu, Eric S. Lander, Yunhu Wan, David J. Dooling, Dong Yeon Cho, Preethi Gunaratne, Todd Wylie, Pei Lin, Chang-Jiun Wu, Jeffrey Roach, Scott Frazer, Samuel S. Freeman, Rachel Abbott, Zheng Xia, Lucinda Fulton, Kyle Ellrott, Nuria Lopez-Bigas, Yang Yang, Michael Miller, Nilsa C. Ramirez, Evan O. Paull, Janae V. Simons, Junyuan Wu, Lynda Chin, Gordon Saksena, Jiabin Tang, Vesteinn Thorsson, Robert A. Holt, Suhn K. Rhie, Steven J.M. Jones, Stuart R. Jeffreys, Giovanni Ciriello, Sofie R. Salama, Gideon Dresdner, Yiling Lu, Massachusetts Institute of Technology. Department of Biology, Lander, Eric S., and Park, Peter J.

Subjects
Genetics, medicine.medical_specialty, Genome, Gene Expression Profiling, Genomics, Computational biology, Biology, Humans, Neoplasms, Article, Analysis Project, Gene expression profiling, GENÉTICA MOLECULAR, Cancer genome, Genomic Profile, medicine, Medical genetics, Epigenetics
Abstract

The Cancer Genome Atlas (TCGA) Research Network has profiled and analyzed large numbers of human tumors to discover molecular aberrations at the DNA, RNA, protein and epigenetic levels. The resulting rich data provide a major opportunity to develop an integrated picture of commonalities, differences and emergent themes across tumor lineages. The Pan-Cancer initiative compares the first 12 tumor types profiled by TCGA. Analysis of the molecular aberrations and their functional roles across tumor types will teach us how to extend therapies effective in one cancer type to others with a similar genomic profile., National Cancer Institute (U.S.), National Human Genome Research Institute (U.S.)

Published
2013

15. Genome-Wide Assessment of the Association of Rare and Common Copy Number Variations to Testicular Germ Cell Cancer

Author

Henrik Leffers, Nils Weinhold, Ewa Rajpert-De Meyts, Marlene Danner Dalgaard, Ramneek Gupta, Thomas Skøt Jensen, Agata Wesolowska-Andersen, Daniel Edsgärd, Anne Marie Ottesen, Anders Juul, Niels E. Skakkebæk, and Søren Brunak

Subjects
Genetics, lcsh:RC648-665, Endocrinology, Diabetes and Metabolism, copy number variation, rare variants, Genome-wide association study, Single-nucleotide polymorphism, Locus (genetics), Biology, medicine.disease, Genome, lcsh:Diseases of the endocrine glands. Clinical endocrinology, testicular cancer, Endocrinology, SDG 3 - Good Health and Well-being, testicular germ cell cancers, medicine, Copy-number variation, Gene, Testicular cancer, Original Research, Genetic association, Genome-Wide Association Study
Abstract

Testicular germ cell cancer (TGCC) is one of the most heritable forms of cancer. Previous genome-wide association studies have focused on single nucleotide polymorphisms, largely ignoring the influence of copy number variants (CNVs). Here we present a genome-wide study of CNV on a cohort of 212 cases and 437 controls from Denmark, which was genotyped at ∼1.8 million markers, half of which were non-polymorphic copy number markers. No association of common variants were found, whereas analysis of rare variants (present in less than 1% of the samples) initially indicated a single gene with significantly higher accumulation of rare CNVs in cases as compared to controls, at the gene PTPN1 (P = 3.8 × 10(-2), 0.9% of cases and 0% of controls). However, the CNV could not be verified by qPCR in the affected samples. Further, the CNV calling of the array-data was validated by sequencing of the GSTM1 gene, which showed that the CNV frequency was in complete agreement between the two platforms. This study therefore disconfirms the hypothesis that there exists a single CNV locus with a major effect size that predisposes to TGCC. Genome-wide pathway association analysis indicated a weak association of rare CNVs related to cell migration (false-discovery rate = 0.021, 1.8% of cases and 1.1% of controls). Dysregulation during migration of primordial germ cells has previously been suspected to be a part of TGCC development and this set of multiple rare variants may thereby have a minor contribution to an increased susceptibility of TGCCs.

Published
2013
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16. A genome-wide association study of men with symptoms of testicular dysgenesis syndrome and its network biology interpretation

Author

Jorma Toppari, John E Nielsen, Gabriella Cohn-Cedermark, Marlene D. Dalgaard, Daniel Edsgärd, Gedske Daugaard, Jeremy D. Silver, Thomas Skøt Jensen, Ewa Rajpert-De Meyts, Yvonne Lundberg Giwercman, Tune H. Pers, Søren Brunak, Helena E. Virtanen, Thomas A. Gerds, Aleksander Giwercman, Henrik Leffers, Niels E Skakkebk, Niels Jørgensen, Nils Weinhold, Ramneek Gupta, and Anders Juul

Subjects
Male, Bone Morphogenetic Protein 7, Gonadal dysgenesis, Gene Expression, Genome-wide association study, Bioinformatics, Gonadal Dysgenesis, Linkage Disequilibrium, Male infertility, Cohort Studies, genome-wide, 0302 clinical medicine, Testis, GWAS, genetics, Protein Interaction Maps, Genetics (clinical), Genetics, 0303 health sciences, Stem Cell Factor, diabetes, systems biology, Neoplasms, Germ Cell and Embryonal, 3. Good health, 030220 oncology & carcinogenesis, oncology, Medical genetics, Proteoglycans, epidemiology, infertility, SNP array, reproductive medicine, Adult, Genetic Markers, medicine.medical_specialty, genetic epidemiology, Genotype, testis cancer, Biology, cancer: urological, Polymorphism, Single Nucleotide, 03 medical and health sciences, endocrinology, SDG 3 - Good Health and Well-being, Testicular Neoplasms, medicine, Humans, developmental, Genetic Predisposition to Disease, chromosomal, Testicular cancer, TDS, 030304 developmental biology, Complex Traits, Case-control study, Cancer, medicine.disease, Case-Control Studies, Receptors, Transforming Growth Factor beta, Genome-Wide Association Study
Abstract

Background Testicular dysgenesis syndrome (TDS) is a common disease that links testicular germ cell cancer, cryptorchidism and some cases of hypospadias and male infertility with impaired development of the testis. The incidence of these disorders has increased over the last few decades, and testicular cancer now affects 1% of the Danish and Norwegian male population. Methods To identify genetic variants that span the four TDS phenotypes, the authors performed a genome-wide association study (GWAS) using Affymetrix Human SNP Array 6.0 to screen 488 patients with symptoms of TDS and 439 selected controls with excellent reproductive health. Furthermore, they developed a novel integrative method that combines GWAS data with other TDS-relevant data types and identified additional TDS markers. The most significant findings were replicated in an independent cohort of 671 Nordic men. Results Markers located in the region of TGFBR3 and BMP7 showed association with all TDS phenotypes in both the discovery and replication cohorts. An immunohistochemistry investigation confirmed the presence of transforming growth factor beta receptor type III (TGFBR3) in peritubular and Leydig cells, in both fetal and adult testis. Single-nucleotide polymorphisms in the KITLG gene showed significant associations, but only with testicular cancer. Conclusions The association of single-nucleotide polymorphisms in the TGFBR3 and BMP7 genes, which belong to the transforming growth factor b signalling pathway, suggests a role for this pathway in the pathogenesis of TDS. Integrating data from multiple layers can highlight findings in GWAS that are biologically relevant despite having border significance at currently accepted statistical levels.

Published
2011

17. Deciphering Diseases and Biological Targets for Environmental Chemicals using Toxicogenomics Networks

Author

Søren Brunak, Thomas Skøt Jensen, Francisco S. Roque, Olivier Taboureau, Konrad Krysiak-Baltyn, Agnieszka S. Juncker, Karine Audouze, and Nils Weinhold

Subjects
Toxicogenetics, Systems biology, Chemical biology, Biology, Bioinformatics, Hazardous Substances, 03 medical and health sciences, Cellular and Molecular Neuroscience, Human health, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Neoplasms, Chemical Biology, Protein Interaction Mapping, Genetics, Cluster Analysis, Humans, Protein Interaction Domains and Motifs, Databases, Protein, lcsh:QH301-705.5, Molecular Biology, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, 0303 health sciences, Principal Component Analysis, Ecology, Systems Biology, Computational Biology, Reproducibility of Results, 3. Good health, lcsh:Biology (General), Computational Theory and Mathematics, Gene Expression Regulation, 030220 oncology & carcinogenesis, Modeling and Simulation, Protein Interaction Networks, Pirinixic Acid, Molecular mechanism, Environmental Pollutants, Toxicogenomics, Research Article
Abstract

Exposure to environmental chemicals and drugs may have a negative effect on human health. A better understanding of the molecular mechanism of such compounds is needed to determine the risk. We present a high confidence human protein-protein association network built upon the integration of chemical toxicology and systems biology. This computational systems chemical biology model reveals uncharacterized connections between compounds and diseases, thus predicting which compounds may be risk factors for human health. Additionally, the network can be used to identify unexpected potential associations between chemicals and proteins. Examples are shown for chemicals associated with breast cancer, lung cancer and necrosis, and potential protein targets for di-ethylhexyl-phthalate, 2,3,7,8-tetrachlorodibenzo-p-dioxin, pirinixic acid and permethrine. The chemical-protein associations are supported through recent published studies, which illustrate the power of our approach that integrates toxicogenomics data with other data types., Author Summary Exposure to environmental chemicals and drugs may have a negative effect on human health. An essential step towards understanding the effect of chemicals on human health is to identify all possible molecular targets of a given chemical. Recently, various network-oriented chemical pharmacology approaches have been published. However, these methods limit the protein prediction to already known molecular drug targets. New findings can for example be made by using high-confidence protein-protein association databases. Here, we describe a generic, computational systems biology model with the aim of understanding the underlying molecular mechanisms of chemicals and the biological pathways they perturb. We present a novel and complementary approach to existing models by integrating toxicogenomics data, chemical structures, protein-protein interaction data, disease information and functional annotation of proteins. The high confidence protein-protein association network proposed reveals unexpected connections between chemicals and diseases or human proteins. We provide literature support to demonstrate the validity of some predictions, and thereby illustrate the power of an approach that integrates toxicogenomics data with other data types.

Published
2010

18. Local function conservation in sequence and structure space

Author

Nils Weinhold, Oliver Sander, Ingolf Sommer, Thomas Lengauer, and Francisco S. Domingues

Subjects
Models, Molecular, Protein Conformation, Protein domain, Structure space, Computational Biology/Macromolecular Structure Analysis, Biology, Structural genomics, Pattern Recognition, Automated, Evolution, Molecular, Cellular and Molecular Neuroscience, Structure-Activity Relationship, Computational Biology/Protein Homology Detection, Simple (abstract algebra), Artificial Intelligence, Sequence Analysis, Protein, Genetics, Amino Acid Sequence, Databases, Protein, Molecular Biology, lcsh:QH301-705.5, Ecology, Evolution, Behavior and Systematics, Sequence, Computational Biology/Systems Biology, Ecology, Computational Biology, Proteins, Statistical model, Function (mathematics), Protein structure prediction, Computational Theory and Mathematics, lcsh:Biology (General), Structural Homology, Protein, Modeling and Simulation, Data Interpretation, Statistical, Algorithm, Sequence Alignment, Research Article
Abstract

We assess the variability of protein function in protein sequence and structure space. Various regions in this space exhibit considerable difference in the local conservation of molecular function. We analyze and capture local function conservation by means of logistic curves. Based on this analysis, we propose a method for predicting molecular function of a query protein with known structure but unknown function. The prediction method is rigorously assessed and compared with a previously published function predictor. Furthermore, we apply the method to 500 functionally unannotated PDB structures and discuss selected examples. The proposed approach provides a simple yet consistent statistical model for the complex relations between protein sequence, structure, and function. The GOdot method is available online (http://godot.bioinf.mpi-inf.mpg.de)., Author Summary Proteins are an essential class of molecules playing a variety of roles within a cell. They can be described in various ways: amongst others, by sequence, structure, and function. Determining protein function by wet lab procedures is challenging and tedious. Simultaneously, sequencing and structural genomics projects turn out ever increasing numbers of protein sequences and structures, which are largely lacking functional characterization. As a consequence, there is a growing demand for computational methods that can assist human experts in the functional annotation of proteins. We present a method for protein function prediction based on a novel concept, called local function conservation. Local function conservation in sequence and structure is determined by rigorously analyzing the variability of protein function with respect to sequence and structure similarity. Our method predicts protein function even if the protein to be functionally annotated has only distant relatives. Furthermore, we estimate the reliability of the function prediction. With this approach, we advance automated function prediction and contribute to a better understanding of the complex relations between protein sequence, structure, and function.

Published
2008

19. Abstract 1114: Polymerase epsilon (POLE) mutations and mutator phenotypes in colorectal and endometrial tumors

Author

Richard A. Gibbs, Nikolaus Schultz, Lawrence A. Donehower, Eve Shinbrot, Chris Sander, Jennifer Drummond, Nils Weinhold, Kyle Chang, and David A. Wheeler

Subjects
Genetics, Exonuclease, Cancer Research, Mutation rate, CpG Island Methylator Phenotype, DNA polymerase epsilon, Microsatellite instability, Biology, medicine.disease, Oncology, Chromosome instability, Cancer research, medicine, biology.protein, Microsatellite, Mutation frequency
Abstract

Colorectal rectal and endometrial cancers are divided into microsatellite instable (MSI) and microsatellite stable (MSS) types. MSS tumors have chromosome instability with mutation rates of 1-10/Mb. MSI patients have a better prognosis than MSS patients and are treated less aggressively. These tumors exhibit microsatellite instability (MSI), and the CpG island methylator phenotype (CIMP), an increased mutation rate (10-100/Mb, hypermutated). Here we demonstrate a novel class of tumor in these two diseases exhibiting an ultramutator phenotype with mutation rates exceeding 100/ Mb, MSS and chromosome stable. The ultra-high mutation rates appear to be caused by recurrent mutations in the exonuclease domain of DNA polymerase epsilon (POLE). Matched tumor and normal whole exomes for 512 colorectal and 248 endometrial cancers (TCGA data control center) were evaluated for mutation frequency and MSI status. Among the colorectal tumors, 70/512(14%) were hyper mutated, endometroid tumors had 65/248(26%) hypermutated tumors. Within the hypermutated tumors, we identified tumors with extremely high mutation rates (100 mutations/Mb) termed “ultramutated”. 14 (3%) colorectal and 17 (7%) endometrial were ultramutated. 100% of the colorectal and endometrial ultramutated contain an exonuclease domain mutation in POLE with three recurrently mutated positions: P286R/H/S and V411L and S459F, these mutations are found exclusively in ultramutated samples. The functional relevance of these mutations has been demonstrated by previous mutational analysis of the exonuclease domain in bacteria phage (T4) yeast,and mice. Disruption of residues in the active site leads to high error rates, a mutator phenotype and tumor formation. The defined exonuclease active site aligns closely with the recurrent mutation found in the ultramutated tumors. The ultramuted tumors have a distinct mutation spectrum, occur in context and exhibit strand biases. POLE exonuclease domain mutation tumors have high rates of C to A and T to G mutations with low rates of C to G and T to A. Changes of C to A occur predominately in context of 3’ and 5’ flanking T bases. This mutation spectrum and context of flanking bases suggests replicative strand bias. We found that mutations on the leading strand, exhibited a preference for C to A over G to T (60:40). Suggesting transcription-coupled repair (TCR) plays a role in ultramutation. Our results demonstrate that ultra mutated tumors are driven by recurrent mutations in the exonuclease domain of DNA polymerase epsilon. The distinct mutation spectrum, strand bias and mutation context all suggest TCR is involved in ultramutated tumors. We describe a previously unknown role of POLE in colorectal tumors as well as identification of a previously undescribed hot spot for cancer mutations. Citation Format: Eve Shinbrot, Nils Weinhold, Nikolaus Schultz, Lawrence A. Donehower, Jennifer Drummond, Kyle Chang, Richard Gibbs, Chris Sander, David A. Wheeler. Polymerase epsilon (POLE) mutations and mutator phenotypes in colorectal and endometrial tumors. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 1114. doi:10.1158/1538-7445.AM2013-1114

Published
2013

20. Comprehensive molecular portraits of human breast tumours

Author

Julie M. Gastier-Foster, Nguyen Van Bang, Christopher Szeto, Daoud Meerzaman, Nguyen Viet Tien, Richard K. Wilson, Jennifer Brown, Singer Ma, Andrew H. Beck, Sam Ng, Phillip H. Lai, Peter J. Park, Khurram Z. Khan, Gordon B. Mills, Joel S. Parker, Li Ding, Ying Hu, Jill P. Mesirov, Rebecca Carlsen, Kevin P. White, Benjamin P. Berman, Michael C. Adams, Laura A.L. Dillon, Jake Lin, Giovanni Ciriello, Simeen Malik, Moiz S. Bootwalla, Sheila Reynolds, Petar Stojanov, B. Arman Aksoy, Jerry Usary, Mei Huang, Andrzej Mackiewicz, Prachi Kothiyal, Keith A. Baggerly, Hann Hsiang Chao, Timo Erkkilä, Elaine R. Mardis, Nils Gehlenborg, Bradley M. Broom, Tara M. Lichtenberg, Jeff Gentry, Payal Sipahimalani, Chris Wakefield, Zhining Wang, Anna Chu, Konstanty Korski, Michael S. Noble, Lawrence A. Donehower, Pavana Anur, Janita Thusberg, Rohit Bhargava, Chris Sander, Lori Boice, Juok Cho, Charles Saller, Sophie C. Egea, Marc Danie Nazaire, Heather Schmidt, Bui Duc Phu, Hye Jung E. Chun, Bradley A. Ozenberger, Robert S. Fulton, Carrie Hirst, Stephen B. Baylin, Miruna Balasundaram, Peter White, Fergus J. Couch, Saianand Balu, Christina Yau, Yevgeniy Antipin, Jacek J. Brzeziński, Rehan Akbani, Todd Pihl, Ari B. Kahn, Nianxiang Zhang, Sean P. Barletta, Mary Iacocca, Kelly Daily, Wiam Bshara, Marc Ladanyi, Michael D. Topal, Huy Nguyen, Theodore C. Goldstein, Tari A. King, Bernard Kohl, Jingchun Zhu, Wiktoria Maria Suchorska, Xuan Van Le, Wei Zhang, Yan Shi, Marta Bogusz-Czerniewicz, Barry S. Taylor, Li-Wei Chang, Matthew C. Nicholls, Julien Baboud, Honorata Tatka, Doug Voet, Vesteinn Thorsson, Richard W. Park, Aaron D. Black, Pawel Murawa, Leonid Kvecher, Raju Kucherlapati, Colleen Mitchell, Wei Zhao, Leigh B. Thorne, Artem Sokolov, Modesto Patangan, Yidi J. Turman, Teresa R. Tabler, Kyle Ellrott, Yaron S.N. Butterfield, Gordon Saksena, Ronglai Shen, Yaqin Chen, Olga Voronina, Candace Carter, Yiling Lu, Cynthia McAllister, Thomas Stricker, Chunqing Luo, Dominique L. Berton, Thomas Barr, Robert A. Holt, Christopher Wilks, David Van Den Berg, Robert Sfeir, Ilya Shmulevich, Ranabir Guin, Nilsa C. Ramirez, Hollie A. Harper, John A. Demchok, Matthew J. Ellis, David Haussler, Katherine A. Hoadley, Eric Chuah, Richard J. Mural, Charles M. Perou, Timothy J. Triche, Steven J.M. Jones, Mark A. Jensen, Jeffrey R. Marks, Hanna Perz, Rashmi N. Sanbhadti, Robin J.N. Coope, Brian Craft, Andy Chu, Peter W. Laird, Eric E. Snyder, Chunhua Yan, Martin L. Ferguson, Junyuan Wu, Richard Varhol, Daniel J. Weisenberger, Yongjun Zhao, Ewa Leporowska, Ashley Hill, Katie Tarvin, M. Teresiak, David Pot, Nguyen Phi Hung, Helga Thorvaldsdottir, Erik Zmuda, Spring Yingchun Liu, Melissa Hart-Kothari, Joshua M. Stuart, Caroline Larson, Erin Pleasance, Nikolaus Schultz, Matthew Ibbs, Hubert Stoppler, Joelle Kalicki-Veizer, Andrey Sivachenko, Christopher C. Benz, Dawid Murawa, Swapna Mahurkar, Nicholas J. Petrelli, Lynda Chin, Juinhua Zhang, Pei Lin, Michael Mayo, Wilma L. Lingle, Julian Malicki, Robin Brookens, Ethan Cerami, Angela Tam, Shelley Alonso, Carmelo Gaudioso, Dominik Stoll, Anders Jacobsen, Stephen C. Benz, Mark S. Guyer, Wendy Winckler, Roel R.G. Verhaak, Chang-Jiun Wu, Raktim Sinha, Xiaping He, Nina Thiessen, Craig D. Shriver, Kenna R. Mills Shaw, Heidi J. Sofia, Martin Hirst, Stuart R. Jefferys, Robert Penny, Adam Brufsky, Kristen M. Leraas, Joshua F. McMichael, Brenda Rabeno, Inanc Birol, David J. Dooling, Peggy Yena, Richard A. Moore, Andrew D. Cherniack, Lucinda Fulton, Jessica K. Booker, Lihua Zou, Rileen Sinha, Michael D. Iglesia, Dennis T. Maglinte, Rohini Raman, Evan O. Paull, Rameen Beroukhim, Oleg Dolzhansky, Grace O. Silva, Jiashan Zhang, Witold Kycler, Janae V. Simons, Anisha Gulabani, Michael S. Lawrence, Peter Fielding, Huynh Quyet Thang, Peter A. Kigonya, Myra M. George, Jay Bowen, Haiyan I. Li, Robert E. Pyatt, Margi Sheth, Stacey Gabriel, Ana M. Gonzalez-Angulo, Hui Shen, Andrew J. Mungall, Carmen Gomez-Fernandez, Liming Yang, Hai Hu, Radoslaw Łaźniak, Olufunmilayo I. Olopade, Christine Czerwinski, Richard A. Hajek, Michael D. McLellan, Arash Shafiei, Matthew Meyerson, Gad Getz, Stanley Girshik, Cheng Fan, Shuying Liu, Olga Potapova, Alan P. Hoyle, Mia Grifford, Daniel C. Koboldt, Jacqueline D. Palchik, Jessica Walton, Greg Eley, Jamie Leigh Campbell, Thomas Zeng, Mikhail Abramov, Benjamin Gross, Brenda Deyarmin, Maciej Wiznerowicz, Natasja Wye, Ron Bose, Darlene Lee, Carl Morrison, Albert J. Kovatich, Andrew Crenshaw, Jessica Frick, John N. Weinstein, Adrian Ally, Nam H. Pho, Brady Bernard, Scott L. Carter, Gary K. Scott, Steven E. Schumacher, Barbara Tabak, D. Neil Hayes, Robert C. Onofrio, Sean D. Mooney, Mary D. Dyer, Mark Gerken, Erin Curley, Rajiv Dhir, Anna K. Unruh, Noreen Dhalla, Candace Shelton, Kevin R. Coombes, Richard Thorp, George E. Sandusky, A. Gordon Robertson, Marco A. Marra, Roy Tarnuzzer, Mark Backus, Aleix Prat, Kristin G. Ardlie, Daniel Di Cara, Richard Kreisberg, Kenneth H. Buetow, Jacqueline E. Schein, J. Todd Auman, Jianjiong Gao, Lisa Wise, Ling Li, James A. Robinson, Jonathan S. Berg, Tod D. Casasent, James N. Ingle, Brenda Ayala, Xiaolong Meng, Boris Reva, Rui Jing, Mark D. Pegram, Arkadiusz Spychała, Joan Pontius, Jeffrey A. Hooke, Daniel E. Carlin, Nils Weinhold, Jared R. Slobodan, Tom Bodenheimer, Wenbin Liu, Christopher K. Wong, W. Kimryn Rathmell, David Mallery, Paul T. Spellman, Hailei Zhang, Ryan Bressler, Deepak Srinivasan, Lisle E. Mose, Bryan Hernandez, Stella Somiari, Chad J. Creighton, Howard H. Sussman, Frederic Waldman, Matthew G. Soloway, and Universitat de Barcelona

Subjects
Proteomics, Oncologia, DNA Mutational Analysis, Genes, BRCA1, Retinoblastoma Protein, Phosphatidylinositol 3-Kinases, 0302 clinical medicine, Breast cancer, Exome, RNA, Neoplasm, Exome sequencing, Oligonucleotide Array Sequence Analysis, Ovarian Neoplasms, Genetics, 0303 health sciences, Multidisciplinary, Triple Negative Breast Neoplasms, Genomics, 3. Good health, Gene Expression Regulation, Neoplastic, Receptors, Estrogen, Oncology, 030220 oncology & carcinogenesis, Female, DNA Copy Number Variations, Class I Phosphatidylinositol 3-Kinases, Protein Array Analysis, MAP Kinase Kinase Kinase 1, Breast Neoplasms, GATA3 Transcription Factor, Biology, Article, Càncer de mama, Genetic Heterogeneity, 03 medical and health sciences, medicine, Humans, RNA, Messenger, 030304 developmental biology, MicroRNA sequencing, Genome, Human, Genetic heterogeneity, Gene Expression Profiling, Cancer, DNA Methylation, Genes, erbB-2, Genes, p53, medicine.disease, Claudin-Low, Expressió gènica, MicroRNAs, Genòmica, Mutation, Gene expression, Genes, Neoplasm
Abstract

We analysed primary breast cancers by genomic DNA copy number arrays, DNA methylation, exome sequencing, messenger RNA arrays, microRNA sequencing and reverse-phase protein arrays. Our ability to integrate information across platforms provided key insights into previously defined gene expression subtypes and demonstrated the existence of four main breast cancer classes when combining data from five platforms, each of which shows significant molecular heterogeneity. Somatic mutations in only three genes (TP53, PIK3CA and GATA3) occurred at >10% incidence across all breast cancers; however, there were numerous subtype-associated and novel gene mutations including the enrichment of specific mutations in GATA3, PIK3CA and MAP3K1 with the luminal A subtype. We identified two novel protein-expression-defined subgroups, possibly produced by stromal/microenvironmental elements, and integrated analyses identified specific signalling pathways dominant in each molecular subtype including a HER2/phosphorylated HER2/EGFR/phosphorylated EGFR signature within the HER2-enriched expression subtype. Comparison of basal-like breast tumours with high-grade serous ovarian tumours showed many molecular commonalities, indicating a related aetiology and similar therapeutic opportunities. The biological finding of the four main breast cancer subtypes caused by different subsets of genetic and epigenetic abnormalities raises the hypothesis that much of the clinically observable plasticity and heterogeneity occurs within, and not across, these major biological subtypes of breast cancer.

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