Open Access
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
The Cancer Genome Atlas Network recently cataloged recurrent genomic abnormalities in glioblastoma multiforme (GBM) and proposed a robust gene expression-based molecular classification of GBM into Proneural, Neural, Classical, and Mesenchymal subtypes as discussed by the authors.Abstract:
The Cancer Genome Atlas Network recently cataloged recurrent genomic abnormalities in glioblastoma multiforme (GBM). We describe a robust gene expression-based molecular classification of GBM into Proneural, Neural, Classical, and Mesenchymal subtypes and integrate multidimensional genomic data to establish patterns of somatic mutations and DNA copy number. Aberrations and gene expression of EGFR, NF1, and PDGFRA/IDH1 each define the Classical, Mesenchymal, and Proneural subtypes, respectively. Gene signatures of normal brain cell types show a strong relationship between subtypes and different neural lineages. Additionally, response to aggressive therapy differs by subtype, with the greatest benefit in the Classical subtype and no benefit in the Proneural subtype. We provide a framework that unifies transcriptomic and genomic dimensions for GBM molecular stratification with important implications for future studies.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.
Integrated genomic analyses of ovarian carcinoma
Daphne W. 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,Mei Huang,David G. Huntsman,Mary Iacocca,Marcin Imielinski,Steve E. Kalloger,Beth Y. Karlan,Douglas A. Levine,Gordon B. Mills,Carolyn A. 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,Jennifer Drummond,Gerald R. Fowler,Preethi H. Gunaratne,Alicia Hawes,Christie Kovar,Lora Lewis,Margaret B. Morgan,Irene Newsham,Jireh Santibanez,Jeffrey G. Reid,Lisa R. Trevino,Yuan Qing Wu,Min Wang,Donna Muzny,D Wheeler,Richard A. Gibbs,Gad Getz,Michael S. Lawrence,Kristian Cibulskis,Andrey Sivachenko,Carrie Sougnez,Douglas Voet,Jane Wilkinson,Toby Bloom,Kristin G. Ardlie,T. J. Fennell,Jennifer Baldwin,S. Gabriel,Eric S. Lander,Li Ding,Robert S. Fulton,Daniel C. Koboldt,Michael D. McLellan,Todd Wylie,Jason Walker,Michelle D O'Laughlin,David J. Dooling,Linnea Fulton,Rachel Abbott,Nathan D. Dees,Qizhou Zhang,Cyriac Kandoth,Michael C. Wendl,William Schierding,D. Shen,Chris Harris,Heather K. Schmidt,Joelle Kalicki,Kimberly D. Delehaunty,Catrina Fronick,Ryan Demeter,Linda S. Cook,John W. Wallis,Ling Lin,Vincent Magrini,Jennifer S. Hodges,James M. Eldred,Shaleigh Smith,Craig Pohl,Fabio Vandin,Benjamin J. Raphael,George M. Weinstock,Elaine R. Mardis,Richard K. Wilson,Matthew Meyerson,Wendy Winckler,Roeland Verhaak,Suzie Carter,Craig H. Mermel,Gordon Saksena,Huy V. Nguyen,Robert C. Onofrio,Diana D. Hubbard,Sonal Gupta,Andrew Crenshaw,Alex H. Ramos,Lynda Chin,Alexei Protopopov,Juinhua Zhang,T. M. Kim,Ilana Perna,Yonghong Xiao,Hailei Zhang,Gang Ren,Narayanan Sathiamoorthy,Richard W. Park,Eunjung Lee,Peter J. Park,Raju Kucherlapati,Devin Absher,Lindsay L. Waite,Gavin Sherlock,James D. Brooks,Jun Li,Jian Xu,Richard M. Myers,Peter W. Laird,Leslie Cope,James G. Herman,Hui Shen,Daniel J. Weisenberger,Houtan Noushmehr,Fei Pan,Timothy J. Triche,Benjamin P. Berman,D. J. Van Den Berg,Jonathan D. Buckley,Stephen B. Baylin,P. Spellman,Elizabeth Purdom,Pierre Neuvial,Henrik Bengtsson,Lakshmi Jakkula,Steffen Durinck,Junhong Han,Shannon Dorton,Henry Marr,Y. G. Choi,V. Wang,N. J. Wang,J. Ngai,John G. Conboy,Bahram Parvin,Heidi S. Feiler,Terence P. Speed,Joe W. Gray,Nicholas D. Socci,Yanke Liang,Barry S. Taylor,Nikolaus Schultz,Laetitia Borsu,Alex E. Lash,Cameron Brennan,Agnes Viale,Chris Sander,M. Ladanyi,Katherine A. Hoadley,Shaowu Meng,Ying Du,Yan Shi,Lulin Li,Yidi J. Turman,D. Zang,E. B. Helms,Saianand Balu,Xiang Zhou,Jane Y. Wu,Michael D. Topal,David N. Hayes,Charles M. Perou,Junihua Zhang,Chaowei Wu,Sachet A. Shukla,Andrey Sivachenko,Rui Jing,Yingkai Liu,Michael S. Noble,Hannah Carter,D. Kim,Rachel Karchin,James E. Korkola,Laura M. Heiser,Raymond J. Cho,Zhi Hu,Ethan Cerami,Adam B. Olshen,Boris Reva,Yevgeniy Antipin,Ronglai Shen,Parminder K. Mankoo,Rachael Sheridan,Giovanni Ciriello,William K. Chang,J. A. Bernanke,David Haussler,Christopher C. Benz,Joshua M. Stuart,Stephen C. Benz,John Zachary Sanborn,Charles J. Vaske,Jingchun Zhu,Christopher Szeto,Gary K. Scott,Christina Yau,Matthew D. Wilkerson,Nianxiang Zhang,Rehan Akbani,Keith A. Baggerly,W. K. Yung,John N. Weinstein,Troy Shelton,Dirk Grimm,Martha Hatfield,Shannon R. Morris,Peggy Yena,P. Rhodes,Mark E. Sherman,Joseph Paulauskis,S. Millis,Ari B. Kahn,John M. Greene,Robert Sfeir,Mark A. Jensen,John W. Chen,Jon Whitmore,Shelley Alonso,Justin T. Jordan,Anna L. Chu,Jinghui Zhang,Anna D. 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,Jessica L. Peterson,E. Thomson +261 more
TL;DR: The Cancer Genome Atlas project has analyzed messenger RNA expression, microRNA expression, promoter methylation and DNA copy number in 489 high-grade serous ovarian adenocarcinomas and the DNA sequences of exons from coding genes in 316 of these tumours as mentioned in this paper.
References
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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.
Journal ArticleDOI
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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