Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1
Roel G.W. Verhaak,Katherine A. Hoadley,Elizabeth Purdom,Victoria Wang,Yuan-yuan Qi,Matthew D. Wilkerson,C. Ryan Miller,Li Ding,Todd R. Golub,Jill P. Mesirov,Gabriele Alexe,Michael S. Lawrence,Michael O'Kelly,Pablo Tamayo,Barbara A. Weir,Stacey Gabriel,Wendy Winckler,Supriya Gupta,Lakshmi Jakkula,Heidi S. Feiler,J. Graeme Hodgson,C. David James,Jann N. Sarkaria,Cameron Brennan,Ari B. Kahn,Paul T. Spellman,Richard K. Wilson,Terence P. Speed,Terence P. Speed,Joe W. Gray,Matthew Meyerson,Gad Getz,Charles M. Perou,Charles M. Perou,D. Neil Hayes +34 more
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TLDR
A robust gene expression-based molecular classification of GBM into Proneural, Neural, Classical, and Mesenchymal subtypes is described and multidimensional genomic data is integrated to establish patterns of somatic mutations and DNA copy number.About:
This article is published in Cancer Cell.The article was published on 2010-01-19 and is currently open access. It has received 5764 citations till now. The article focuses on the topics: Proneural Glioblastoma & PDGFRA.read more
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Integrative genomics viewer
James T. Robinson,Helga Thorvaldsdottir,Wendy Winckler,Mitchell Guttman,Eric S. Lander,Eric S. Lander,Gad Getz,Jill P. Mesirov +7 more
TL;DR: In this article, the authors present an approach for efficient and intuitive visualization tools able to scale to very large data sets and to flexibly integrate multiple data types, including clinical data.
Journal ArticleDOI
Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration
TL;DR: The Integrative Genomics Viewer (IGV) is a high-performance viewer that efficiently handles large heterogeneous data sets, while providing a smooth and intuitive user experience at all levels of genome resolution.
Journal ArticleDOI
GSVA: gene set variation analysis for microarray and RNA-seq data.
TL;DR: This work introduces Gene Set Variation Analysis (GSVA), a GSE method that estimates variation of pathway activity over a sample population in an unsupervised manner and constitutes a starting point to build pathway-centric models of biology.
Journal ArticleDOI
The Molecular Signatures Database Hallmark Gene Set Collection
Arthur Liberzon,Chet Birger,Helga Thorvaldsdottir,Mahmoud Ghandi,Jill P. Mesirov,Pablo Tamayo +5 more
TL;DR: A combination of automated approaches and expert curation is used to develop a collection of "hallmark" gene sets, derived from multiple "founder" sets, that conveys a specific biological state or process and displays coherent expression in MSigDB.
Journal ArticleDOI
Integrated genomic analyses of ovarian carcinoma
Debra A. Bell,Andrew Berchuck,Michael J. Birrer,Jeremy Chien,Daniel W. Cramer,Fanny Dao,Rajiv Dhir,Philip J. DiSaia,Hani Gabra,Pat Glenn,Andrew K. Godwin,John D. Gross,Lynn C. Hartmann,M. Huang,David G. Huntsman,Mary Iacocca,Marcin Imielinski,Steve E. Kalloger,Beth Y. Karlan,Beth Y. Karlan,Douglas A. Levine,Douglas A. Levine,Douglas A. Levine,Gordon B. Mills,Gordon B. Mills,Carl Morrison,David G. Mutch,Narciso Olvera,Sandra Orsulic,Kay J. Park,Nicholas J. Petrelli,Brenda Rabeno,Janet S. Rader,Branimir I. Sikic,Karen Smith-McCune,Anil K. Sood,David D.L. Bowtell,Robert Penny,Joseph R. Testa,Kyle Chang,Huyen Dinh,J. A. Drummond,G. Fowler,Preethi H. Gunaratne,A. C. Hawes,C. L. Kovar,L. R. Lewis,M. B. Morgan,I. F. Newsham,J. Santibanez,Jeffrey G. Reid,L. R. Trevino,Yue Wu,M. Wang,Donna M. Muzny,D. A. Wheeler,Richard A. Gibbs,Gad Getz,Gad Getz,Michael S. Lawrence,Michael S. Lawrence,Kristian Cibulskis,Kristian Cibulskis,Andrey Sivachenko,C. Sougnez,Douglas Voet,Douglas Voet,Jane Wilkinson,Toby Bloom,Kristin G. Ardlie,Kristin G. Ardlie,T. Fennell,Jennifer Baldwin,S. Gabriel,Eric S. Lander,Li Ding,Robert S. Fulton,Daniel C. Koboldt,Michael D. McLellan,Todd Wylie,Jason Walker,M. O'Laughlin,D. J. Dooling,Linnea Fulton,R. Abbott,N. D. Dees,Qizhou Zhang,Cyriac Kandoth,Michael C. Wendl,William Schierding,D. Shen,Chris Harris,Hayden R. Schmidt,Joelle Kalicki,K. D. Delehaunty,Catrina Fronick,Ryan Demeter,L. Cook,J. W. Wallis,L. Lin,Vincent Magrini,J. S. Hodges,James M. Eldred,S. M. Smith,Craig Pohl,Fabio Vandin,Benjamin J. Raphael,George M. Weinstock,Elaine R. Mardis,Richard K. Wilson,Matthew Meyerson,Wendy Winckler,R. G.W. Verhaak,Suzie Carter,Craig H. Mermel,G. Saksena,G. Saksena,H. Nguyen,R. C. Onofrio,D. Hubbard,S. Gupta,A. Crenshaw,A. H. Ramos,Lynda Chin,Lynda Chin,Alexei Protopopov,Jinghui Zhang,Jinghui Zhang,Jinghui Zhang,T. M. Kim,Ilana Perna,Y. Xiao,Hailei Zhang,Gang Ren,N. Sathiamoorthy,R. W. Park,R. W. Park,Eunjung Lee,Peter J. Park,Peter J. Park,Raju Kucherlapati,D. M. Absher,L. Waite,Gavin Sherlock,James D. Brooks,Jun Li,Jian Xu,Richard M. Myers,Peter W. Laird,L. Cope,James G. Herman,H. Shen,Daniel J. Weisenberger,Houtan Noushmehr,F. Pan,Timothy J. Triche,Benjamin P. Berman,D. J. Van Den Berg,J. Buckley,Stephen B. Baylin,Paul T. Spellman,Paul T. Spellman,Elizabeth Purdom,Pierre Neuvial,Pierre Neuvial,Henrik Bengtsson,Henrik Bengtsson,L. R. Jakkula,S. Durinck,S. Durinck,Junhong Han,Junhong Han,S. Dorton,H. Marr,Y. G. Choi,V. Wang,N. J. Wang,J. Ngai,J. G. Conboy,Bahram Parvin,H. S. Feiler,Terence P. Speed,Joe W. Gray,Joe W. Gray,N. D. Socci,Yanke Liang,Barry S. Taylor,Nikolaus Schultz,Nikolaus Schultz,L. Borsu,Alex E. Lash,Cameron Brennan,A. Viale,Chris Sander,M. Ladanyi,M. Ladanyi,Katherine A. Hoadley,Katherine A. Hoadley,S. Meng,Y. Du,Y. Du,Yigong Shi,Lulin Li,Y. J. Turman,D. Zang,E. B. Helms,S. Balu,Xiang Zhou,Jane Y. Wu,M. D. Topal,D. N. Hayes,D. N. Hayes,Charles M. Perou,Chaowei Wu,S. Shukla,A. Sivachenko,R. Jing,Yingkai Liu,M. Noble,Hannah Carter,D. Kim,Rachel Karchin,James E. Korkola,Laura M. Heiser,Raymond J. Cho,Zhi Hu,Ethan Cerami,A. Olshen,B. Reva,Yevgeniy Antipin,R. Shen,P. Mankoo,Robert L. Sheridan,Giovanni Ciriello,William K. Chang,J. A. Bernanke,David Haussler,Christopher C. Benz,Joshua M. Stuart,Stephen C. Benz,J. Z. Sanborn,Charles J. Vaske,Jieqing Zhu,Christopher Szeto,G. K. Scott,Christina Yau,Matthew D. Wilkerson,N. Zhang,Rehan Akbani,Keith A. Baggerly,W. K. Yung,John N. Weinstein,T. Shelton,Dirk Grimm,Martha Hatfield,Scott Morris,P. Yena,P. Rhodes,Mark E. Sherman,J. Paulauskis,S. Millis,A. Kahn,John M. Greene,R. Sfeir,M. A. Jensen,John W. Chen,J. Whitmore,S. Alonso,J. Jordan,A. Chu,A. Barker,Carolyn C. Compton,Greg Eley,Martin L. Ferguson,Peter Fielding,Daniela S. Gerhard,R. Myles,Carl F. Schaefer,K. R. Mills Shaw,Jim Vaught,J. B. Vockley,Peter J. Good,Mark S. Guyer,Bradley A. Ozenberger,Jane Peterson,Elizabeth J. Thomson +285 more
TL;DR: It is reported that high-grade serous ovarian cancer is characterized by TP53 mutations in almost all tumours (96%); low prevalence but statistically recurrent somatic mutations in nine further genes including NF1, BRCA1,BRCA2, RB1 and CDK12; 113 significant focal DNA copy number aberrations; and promoter methylation events involving 168 genes.
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Comprehensive genomic characterization defines human glioblastoma genes and core pathways
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TL;DR: The interim integrative analysis of DNA copy number, gene expression and DNA methylation aberrations in 206 glioblastomas reveals a link between MGMT promoter methylation and a hypermutator phenotype consequent to mismatch repair deficiency in treated gliobeasts, demonstrating that it can rapidly expand knowledge of the molecular basis of cancer.
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Epithelial–mesenchymal transitions in tumour progression
TL;DR: Epithelial–mesenchymal transition provides a new basis for understanding the progression of carcinoma towards dedifferentiated and more malignant states.
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