John N. Weinstein

ORCID: 0000-0001-9401-6908
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About
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Research Areas
  • Cancer Genomics and Diagnostics
  • RNA modifications and cancer
  • Gene expression and cancer classification
  • Bioinformatics and Genomic Networks
  • Epigenetics and DNA Methylation
  • Renal cell carcinoma treatment
  • Monoclonal and Polyclonal Antibodies Research
  • Lung Cancer Treatments and Mutations
  • Cancer-related molecular mechanisms research
  • Renal and related cancers
  • Computational Drug Discovery Methods
  • Molecular Biology Techniques and Applications
  • Ferroptosis and cancer prognosis
  • Pancreatic and Hepatic Oncology Research
  • Cancer-related Molecular Pathways
  • Radiomics and Machine Learning in Medical Imaging
  • Bladder and Urothelial Cancer Treatments
  • Cancer therapeutics and mechanisms
  • Lung Cancer Research Studies
  • Drug Transport and Resistance Mechanisms
  • RNA Research and Splicing
  • Lipid Membrane Structure and Behavior
  • Phagocytosis and Immune Regulation
  • Peptidase Inhibition and Analysis
  • Genetics, Bioinformatics, and Biomedical Research

The University of Texas MD Anderson Cancer Center
2016-2025

Scripps MD Anderson Cancer Center
2015-2025

Comer Children's Hospital
2024

Lurie Children's Hospital
2024

National Institutes of Health
2005-2023

National Cancer Institute
2004-2023

Center for Cancer Research
2004-2023

Laboratory of Molecular Genetics
2006-2023

Center for Information Technology
2003-2023

Center for Systems Biology
2023

Current clinical practice is organized according to tissue or organ of origin tumors. Now, The Cancer Genome Atlas (TCGA) Research Network has started identify genomic and other molecular commonalities among a dozen different types cancer. Emerging similarities contrasts will form the basis for targeted therapies future repurposing existing by rather than histological diseases. profiled analyzed large numbers human tumors discover aberrations at DNA, RNA, protein epigenetic levels. resulting...

10.1038/ng.2764 article EN cc-by-nc-sa Nature Genetics 2013-09-26
Roger E. McLendon Allan H. Friedman D D Bigner Erwin G. Van Meir Daniel J. Brat and 95 more Gena M. Mastrogianakis Jeffrey J. Olson Tom Mikkelsen Norman L. Lehman Ken Aldape W.K. Alfred Yung Oliver Bögler John N. Weinstein Scott Vandenberg Mitchel S. Berger Michael D. Prados Donna M. Muzny Margaret Morgan Stephen W. Scherer Aniko Sabo Lynn Nazareth Lora Lewis Otis Hall Yiming Zhu Yanru Ren Omar Alvi Jiqiang Yao Alicia Hawes Shalini N. Jhangiani Gerald Fowler Anthony San Lucas Christie Kovar Andrew Cree Huyen Dinh Jireh Santibanez Vandita Joshi Manuel L. Gonzalez‐Garay Christopher A. Miller Aleksandar Milosavljevic L A Donehower David A. Wheeler Richard A. Gibbs Kristian Cibulskis Carrie Sougnez Tim Fennell Scott Mahan Jane Wilkinson Liuda Ziaugra Robert C. Onofrio Toby Bloom Robert Nicol Kristin Ardlie Jennifer N. Baldwin Stacey Gabriel Eric S. Lander Jun Li Robert S. Fulton Michael D. McLellan John Wallis David E. Larson Xiaoqi Shi Rachel M. Abbott Lucinda Fulton Ken Chen Daniel C. Koboldt Michael C. Wendl Rick Meyer Yuzhu Tang Ling Lin John R. Osborne Brian H. Dunford-Shore Tracie L. Miner Kim D. Delehaunty Chris Markovic G.M. Swift William Courtney Craig Pohl Scott Abbott Amy Hawkins Shin Leong Carrie A. Haipek Heather K. Schmidt Maddy Wiechert Tammi L. Vickery S. P. Scott David J. Dooling Asif Chinwalla George M. Weinstock Elaine R. Mardis Richard K. Wilson Gad Getz Wendy Winckler Roel G.W. Verhaak Michael S. Lawrence Michael O’Kelly Jim Robinson Gabriele Alexe Rameen Beroukhim Scott L. Carter Derek Y. Chiang

10.1038/nature07385 article EN Nature 2008-09-04
T J Ley Christopher A. Miller Li Ding Benjamin J. Raphael Andrew J. Mungall and 95 more Gordon L. Robertson Katherine A. Hoadley Timothy J. Triche Peter W. Laird Jack Baty Lucinda Fulton Robert S. Fulton Sharon E. Heath Joelle Kalicki-Veizer Cyriac Kandoth Jeffery M. Klco Daniel C. Koboldt Krishna Kanchi Shashikant Kulkarni Tamara Lamprecht David E. Larson Ge Lin Charles Lu Michael D. McLellan Joshua F. McMichael Jacqueline E. Payton Heather K. Schmidt David H. Spencer Michael H. Tomasson John W. Wallis Lukas D. Wartman Mark A. Watson John S. Welch Michael C. Wendl Adrian Ally Miruna Balasundaram İnanç Birol Yaron S.N. Butterfield Readman Chiu Andy Chu Eric Chuah Hye Jung E. Chun Richard Corbett Noreen Dhalla Ranabir Guin Anyuan He Carrie Hirst Martin Hirst Robert A. Holt Steven J.M. Jones Aly Karsan Darlene Lee Haiyan I. Li Marco A. Marra Michael Mayo Richard A. Moore Karen Mungall Jeremy Parker Erin Pleasance Patrick Plettner Jacquie Schein Dominik Stoll Lucas Swanson Angela Tam Nina Thiessen Richard Varhol Natasja Wye Yongjun Zhao Stacey Gabriel Gad Getz Carrie Sougnez Lihua Zou Mark D.M. Leiserson Fabio Vandin Hsin Ta Wu Frederick R. Applebaum Stephen B. Baylin Rehan Akbani Bradley M. Broom Ken Chen Thomas Motter Khanh Cong Nguyen John N. Weinstein Nianziang Zhang Martin L. Ferguson Christopher M. Adams Aaron Black Jay Bowen Julie M. Gastier‐Foster Thomas W. Grossman Tara M. Lichtenberg Lisa Wise Tanja M. Davidsen John A. Demchok Kenna Shaw Margi Sheth Heidi J. Sofia Liming Yang James R. Downing Greg Eley

Many mutations that contribute to the pathogenesis of acute myeloid leukemia (AML) are undefined. The relationships between patterns and epigenetic phenotypes not yet clear. We analyzed genomes 200 clinically annotated adult cases de novo AML, using either whole-genome sequencing (50 cases) or whole-exome (150 cases), along with RNA microRNA DNA-methylation analysis. AML have fewer than most other cancers, an average only 13 found in genes. Of these, 5 genes recurrently mutated AML. A total...

10.1056/nejmoa1301689 article EN New England Journal of Medicine 2013-05-02
Vésteinn Thórsson David L. Gibbs Scott D. Brown Denise M. Wolf Dante S. Bortone and 95 more Tai-Hsien Ou Yang Eduard Porta‐Pardo Galen F. Gao Christopher Plaisier James A. Eddy Elad Ziv Aedín C. Culhane Evan Paull I.K. Ashok Sivakumar Andrew J. Gentles Raunaq Malhotra Farshad Farshidfar Antonio Colaprico Joel S. Parker Lisle E. Mose Nam S. Vo Jianfang Liu Yuexin Liu Janet S. Rader Varsha Dhankani Sheila M. Reynolds Reanne Bowlby Andrea Califano Andrew D. Cherniack Dimitris Anastassiou Davide Bedognetti Younes Mokrab Aaron M. Newman Arvind Rao Ken Chen Alexander Krasnitz Hai Hu Tathiane M. Malta Houtan Noushmehr Chandra Sekhar Pedamallu Susan Bullman Akinyemi I. Ojesina Andrew Lamb Wanding Zhou Hui Shen Toni K. Choueiri John N. Weinstein Justin Guinney Joel Saltz Robert A. Holt Charles S. Rabkin Alexander J. Lazar Jonathan S. Serody Elizabeth G. Demicco Mary L. Disis Benjamin G. Vincent Ilya Shmulevich Rory Johnson John A. Demchok Ina Felau Melpomeni Kasapi Martin L. Ferguson Carolyn M. Hutter Heidi J. Sofia Roy Tarnuzzer Zhining Wang Liming Yang Jean C. Zenklusen Jiashan Zhang Sudha Chudamani Jia Liu Laxmi Lolla Rashi Naresh Todd Pihl Qiang Sun Yunhu Wan Ye Wu Juok Cho Timothy Defreitas Scott Frazer Nils Gehlenborg Gad Getz David I. Heiman Seungchan Kim Michael S. Lawrence Pei Lin Thomas J. Giordano Michael S. Noble Gordon Saksena Doug Voet Hailei Zhang Brady Bernard Nyasha Chambwe Varsha Dhankani Theo Knijnenburg Roger Kramer Kalle Leinonen Yuexin Liu Michael Miller Sheila M. Reynolds

We performed an extensive immunogenomic analysis of more than 10,000 tumors comprising 33 diverse cancer types by utilizing data compiled TCGA. Across types, we identified six immune subtypes—wound healing, IFN-γ dominant, inflammatory, lymphocyte depleted, immunologically quiet, and TGF-β dominant—characterized differences in macrophage or signatures, Th1:Th2 cell ratio, extent intratumoral heterogeneity, aneuploidy, neoantigen load, overall proliferation, expression immunomodulatory genes,...

10.1016/j.immuni.2018.03.023 article EN cc-by-nc-nd Immunity 2018-04-01
Cameron Brennan Roel G.W. Verhaak Aaron McKenna Benito Campos Houtan Noushmehr and 95 more Sofie R. Salama Siyuan Zheng Debyani Chakravarty Zack Sanborn Samuel H. Berman Rameen Beroukhim Brady Bernard Chang‐Jiun Wu Giannicola Genovese Ilya Shmulevich Jill S. Barnholtz‐Sloan Lihua Zou Rahulsimham Vegesna Sachet A. Shukla Giovanni Ciriello W. K. Alfred Yung Wei Zhang Carrie Sougnez Tom Mikkelsen Kenneth Aldape Darell D. Bigner Erwin G. Van Meir Michael D. Prados Andrew E. Sloan Keith L. Black Jennifer Eschbacher Gaetano Finocchiaro William A. Friedman David W. Andrews Abhijit Guha Mary Iacocca Brian Patrick O’Neill Greg Foltz Jerome Myers Daniel J. Weisenberger Robert Penny Raju Kucherlapati Charles M. Perou D. Neil Hayes Richard A. Gibbs Marco A. Marra Gordon B. Mills Eric S. Lander Paul T. Spellman Richard K. Wilson Chris Sander John N. Weinstein Matthew Meyerson Stacey Gabriel Peter W. Laird David Haussler Gad Getz Lynda Chin Christopher C. Benz Jill S. Barnholtz‐Sloan Wendi Barrett Quinn T. Ostrom Yingli Wolinsky Keith L. Black Bikash Bose Paul T. Boulos Madgy Boulos Jenn Brown Christine Czerinski Matthew Eppley Mary Iacocca Thelma Kempista Teresa Kitko Yakov Koyfman Brenda Rabeno Pawan Rastogi Michael C. Sugarman Patricia Swanson Kennedy Yalamanchii Ilana P. Otey Yingchun Spring Liu Yonghong Xiao J. Todd Auman Peng‐Chieh Chen Angela Hadjipanayis Eunjung Lee Semin Lee Peter J. Park Jonathan G. Seidman Lixing Yang Raju Kucherlapati Steven N. Kalkanis Tom Mikkelsen Laila Poisson Aditya Raghunathan Lisa Scarpace Brady Bernard Ryan Bressler Andrea Eakin Lisa Iype

10.1016/j.cell.2013.09.034 article EN publisher-specific-oa Cell 2013-10-01
Michael S. Lawrence Carrie Sougnez Lee Lichtenstein Kristian Cibulskis Eric S. Lander and 95 more Stacey Gabriel Gad Getz Adrian Ally Miruna Balasundaram İnanç Birol Reanne Bowlby Denise Brooks Yaron S.N. Butterfield Rebecca Carlsen Dean Cheng Andy Chu Noreen Dhalla Ranabir Guin Robert A. Holt Steven J.M. Jones Darlene Lee Haiyan I. Li Marco A. Marra Michael Mayo Richard A. Moore Andrew J. Mungall A. Gordon Robertson Jacqueline E. Schein Payal Sipahimalani Angela Tam Nina Thiessen Tina Wong Alexei Protopopov Netty Santoso Semin Lee Michael Parfenov Jianhua Zhang Harshad S. Mahadeshwar Jiabin Tang Xiaojia Ren Sahil Seth Psalm Haseley Dong Zeng Lixing Yang Andrew Wei Xu Xingzhi Song Angeliki Pantazi Christopher A. Bristow Angela Hadjipanayis Jonathan G. Seidman Lynda Chin Peter J. Park Raju Kucherlapati Rehan Akbani Tod D. Casasent Wenbin Liu Yiling Lu Gordon B. Mills Thomas Motter John N. Weinstein Lixia Diao Jing Wang You Hong Fan Jinze Liu Kai Wang J. Todd Auman Saianand Balu Thomas Bodenheimer Elizabeth Buda D. Neil Hayes Katherine A. Hoadley Alan P. Hoyle Joshua M. Stuart Corbin D. Jones Patrick K. Kimes Yufeng Liu J. S. Marron Shaowu Meng Piotr A. Mieczkowski Lisle E. Mose Joel S. Parker Charles M. Perou Jan F. Prins Jeffrey Roach Yan Shi Janae V. Simons Darshan Singh Matthew G. Soloway Donghui Tan Umadevi Veluvolu Vonn Walter Stephen C. Waring Matthew D. Wilkerson Junyuan Wu Ni Zhao Andrew D. Cherniack Peter S. Hammerman Aaron D. Tward Chandra Sekhar Pedamallu Gordon Saksena

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 the oncogene PIK3CA, novel alterations involving loss TRAF3, amplification cycle gene E2F1. Smoking-related HNSCCs demonstrate near universal loss-of-function TP53 CDKN2A inactivation with frequent copy number including 3q26/28 11q13/22. A...

10.1038/nature14129 article EN cc-by-nc-sa Nature 2015-01-27

For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical contain key features representing the democratized nature collection process. To ensure proper use this large dataset associated genomic features, we developed standardized named Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major outcome endpoints. In...

10.1016/j.cell.2018.02.052 article EN cc-by-nc-nd Cell 2018-04-01
John N. Weinstein Rehan Akbani Bradley M. Broom Wenyi Wang Roeland Verhaak and 95 more David J. McConkey Seth P. Lerner Margaret Morgan Chad J. Creighton C. Smith Andrew D. Cherniack Jaegil Kim Chandra Sekhar Pedamallu Michael S. Noble Hikmat Al‐Ahmadie Victor E. Reuter Jonathan E. Rosenberg Dean F. Bajorin Bernard H. Bochner David B. Solit Theresa M. Koppie Brian D. Robinson Dmitry A. Gordenin David C. Fargo Leszek J. Klimczak Steven A. Roberts Jessie L.‐S. Au Peter W. Laird Toshinori Hinoue Nikolaus Schultz Ricardo Ramírez Donna E. Hansel Katherine A. Hoadley William Y. Kim Jeffrey S. Damrauer Stephen B. Baylin Andrew J. Mungall A. Gordon Robertson Andy Chu David J. Kwiatkowski Carrie Sougnez Kristian Cibulskis Lee Lichtenstein Andrey Sivachenko Chip Stewart Michael S. Lawrence Gad Getz Eric Lander Stacey B. Gabrie Lawrence A. Donehower Scott L. Carter Gordon Saksena Steven E. Schumacher Samuel S. Freeman Joonil Jung Ami S. Bhatt Trevor J. Pugh Rameen Beroukhim Matthew Meyerson Adrian Ally Miruna Balasundaram Yaron S.N. Butterfield Noreen Dhalla Carrie Hirst Robert A. Holt Steven J.M. Jones Darlene Lee Haiyan I. Li Marco A. Marra Michael Mayo Richard A. Moore Jacqueline E. Schein Payal Sipahimalani Angela Tam Nina Thiessen Tina Wong Natasja Wye Reanne Bowlby Eric Chuah Ranabir Guin Hui Shen Arnoud Boot Timothy J. Triche Phillip H. Lai David Van Den Berg Daniel J. Weisenberger Saianand Balu Tom Bodenheimer Alan P. Hoyle Joshua M. Stuart Shaowu Meng Lisle E. Mose Janae V. Simons Mathew G. Soloway Junyuan Wu Joel S. Parker D. Neil Hayes Jeffrey Roach Elizabeth Buda Corbin D. Jones

Urothelial carcinoma of the bladder is a common malignancy that causes approximately 150,000 deaths per year worldwide. So far, no molecularly targeted agents have been approved for treatment disease. As part The Cancer Genome Atlas project, we report here an integrated analysis 131 urothelial carcinomas to provide comprehensive landscape molecular alterations. There were statistically significant recurrent mutations in 32 genes, including multiple genes involved cell-cycle regulation,...

10.1038/nature12965 article EN cc-by-nc-sa Nature 2014-01-28

We conducted comprehensive integrative molecular analyses of the complete set tumors in The Cancer Genome Atlas (TCGA), consisting approximately 10,000 specimens and representing 33 types cancer. performed clustering using data on chromosome-arm-level aneuploidy, DNA hypermethylation, mRNA, miRNA expression levels reverse-phase protein arrays, which all, except for revealed primarily organized by histology, tissue type, or anatomic origin. influence cell type was evident...

10.1016/j.cell.2018.03.022 article EN cc-by-nc-nd Cell 2018-04-01
A. Gordon Robertson Jaegil Kim Hikmat Al‐Ahmadie Joaquim Bellmunt Guangwu Guo and 95 more Andrew D. Cherniack Toshinori Hinoue Peter W. Laird Katherine A. Hoadley Rehan Akbani Mauro A. A. Castro Ewan A. Gibb Rupa S. Kanchi Dmitry A. Gordenin Sachet A. Shukla Francisco Sánchez-Vega Donna E. Hansel Bogdan Czerniak Victor E. Reuter Xiaoping Su Benílton de Sá Carvalho Vinicius S Chagas Karen Mungall Sara Sadeghi Chandra Sekhar Pedamallu Yiling Lu Leszek J. Klimczak Jiexin Zhang Caleb Choo Akinyemi I. Ojesina Susan Bullman Kristen Leraas Tara M. Lichtenberg Catherine J. Wu N. Schultz Gad Getz Matthew Meyerson Gordon B. Mills David J. McConkey John N. Weinstein David J. Kwiatkowski Seth P. Lerner Rehan Akbani Hikmat Al‐Ahmadie Monique Albert Iakovina Alexopoulou Adrian Ally Tatjana Antic Manju Aron Miruna Balasundaram John M.S. Bartlett Stephen B. Baylin Allison Beaver Joaquim Bellmunt İnanç Birol Lori Boice Arnoud Boot Jay Bowen Reanne Bowlby Denise Brooks Bradley M. Broom Wiam Bshara Susan Bullman Eric Burks Flavio Mavignier Cárcano Rebecca Carlsen Benilton S. Carvalho André Lopes Carvalho Eric Castle Mauro A. A. Castro Mauro A. A. Castro James W.F. Catto Vinicius S Chagas Andrew D. Cherniack David Chesla Caleb Choo Eric Chuah Sudha Chudamani Victoria K. Cortessis Sandra Cottingham Daniel Crain Erin Curley Bogdan Czerniak Siamak Daneshmand John A. Demchok Noreen Dhalla Hooman Djaladat John Eckman Sophie Egea Jay Engel Ina Felau Martin L. Ferguson Johanna Gardner Julie M. Gastier‐Foster Mark Gerken Gad Getz Ewan A. Gibb Carmen Gomez‐Fernandez Dmitry A. Gordenin Guangwu Guo

10.1016/j.cell.2017.09.007 article EN publisher-specific-oa Cell 2017-10-01

Cancer progression involves the gradual loss of a differentiated phenotype and acquisition progenitor stem-cell-like features. Here, we provide novel stemness indices for assessing degree oncogenic dedifferentiation. We used an innovative one-class logistic regression (OCLR) machine-learning algorithm to extract transcriptomic epigenetic feature sets derived from non-transformed pluripotent stem cells their progeny. Using OCLR, were able identify previously undiscovered biological mechanisms...

10.1016/j.cell.2018.03.034 article EN cc-by-nc-nd Cell 2018-04-01
Benjamin J. Raphael Ralph H. Hruban Andrew J. Aguirre Richard A. Moffitt Jen Jen Yeh and 95 more Chip Stewart A. Gordon Robertson Andrew D. Cherniack Manaswi Gupta Gad Getz Stacey Gabriel Matthew Meyerson Carrie Cibulskis Suzanne S. Fei Toshinori Hinoue Hui Shen Peter W. Laird Shiyun Ling Yiling Lu Gordon B. Mills Rehan Akbani Phillipe Loher Eric Londin Isidore Rigoutsos Aristeidis G. Telonis Ewan A. Gibb Anna Goldenberg Aziz M. Mezlini Katherine A. Hoadley Eric A. Collisson Eric S. Lander Bradley A. Murray Julian M. Hess Mara Rosenberg Louis Bergelson Hailei Zhang Juok Cho Grace Tiao Jaegil Kim Dimitri Livitz Ignaty Leshchiner Brendan Reardon Eliezer M. Van Allen Atanas Kamburov Rameen Beroukhim Gordon Saksena Steven E. Schumacher Michael S. Noble David I. Heiman Nils Gehlenborg Jaegil Kim Michael S. Lawrence Volkan Adsay Gloria M. Petersen David S. Klimstra Nabeel Bardeesy Mark D.M. Leiserson Reanne Bowlby L. Sylvia İnanç Birol Karen Mungall Sara Sadeghi John N. Weinstein Paul T. Spellman Yuexin Liu Laufey T. Ámundadóttir Joel E. Tepper Aatur D. Singhi Rajiv Dhir Paul Drwiega Thomas C. Smyrk Lizhi Zhang Paula Kim Jay Bowen Jessica Frick Julie M. Gastier‐Foster Mark Gerken Kevin Lau Kristen Leraas Tara M. Lichtenberg Nilsa C. Ramirez Jeremy Renkel Mark E. Sherman Lisa Wise Peggy Yena Erik Zmuda Juliann Shih Adrian Ally Miruna Balasundaram Rebecca Carlsen Andy Chu Eric Chuah Amanda Clarke Noreen Dhalla Robert A. Holt Steven J.M. Jones Darlene Lee Yussanne Ma Marco A. Marra Michael Mayo

10.1016/j.ccell.2017.07.007 article EN cc-by-nc-nd Cancer Cell 2017-08-01

Abstract We have developed GoMiner, a program package that organizes lists of 'interesting' genes (for example, under- and overexpressed from microarray experiment) for biological interpretation in the context Gene Ontology. GoMiner provides quantitative statistical output files two useful visualizations. The first is tree-like structure analogous to AmiGO browser second compact, dynamically interactive 'directed acyclic graph'. Genes displayed are linked major public bioinformatics resources.

10.1186/gb-2003-4-4-r28 article EN cc-by Genome biology 2003-04-01

Since 1990, the National Cancer Institute (NCI) has screened more than 60,000 compounds against a panel of 60 human cancer cell lines. The 50-percent growth-inhibitory concentration (GI 50 ) for any single line is simply an index cytotoxicity or cytostasis, but patterns such GI values encode unexpectedly rich, detailed information on mechanisms drug action and resistance. Each compound's pattern like fingerprint, essentially unique among many billions distinguishable possibilities. These...

10.1126/science.275.5298.343 article EN Science 1997-01-17

Cancer chromatin accessibility landscape The Genome Atlas (TCGA) provides a high-quality resource of molecular data on large variety human cancers. Corces et al. used recently modified assay to profile determine the accessible in 410 TCGA samples from 23 cancer types (see Perspective by Taipale). When were integrated with other omics available for same tumor samples, inherited risk loci predisposition revealed, transcription factors and enhancers driving subtypes patient survival differences...

10.1126/science.aav1898 article EN Science 2018-10-26

Muscle-invasive bladder cancer (MIBC) is a molecularly diverse disease with heterogeneous clinical outcomes. Several molecular classifications have been proposed, but the diversity of their subtype sets impedes application. To achieve an international consensus on MIBC subtypes that reconciles published classification schemes. We used 1750 transcriptomic profiles from 16 datasets and two additional cohorts. performed network-based analysis six independent systems to identify set classes....

10.1016/j.eururo.2019.09.006 article EN cc-by-nc-nd European Urology 2019-09-26

Epithelial-mesenchymal transition (EMT) has been associated with metastatic spread and EGF receptor (EGFR) inhibitor resistance. We developed validated a robust 76-gene EMT signature using gene expression profiles from four platforms non-small cell lung carcinoma (NSCLC) lines patients treated in the Biomarker-Integrated Approaches of Targeted Therapy for Lung Cancer Elimination (BATTLE) study.We conducted an integrated expression, proteomic, drug response analysis tumors NSCLC. A was...

10.1158/1078-0432.ccr-12-1558 article EN Clinical Cancer Research 2012-10-24

Aneuploidy, whole chromosome or arm imbalance, is a near-universal characteristic of human cancers. In 10,522 cancer genomes from The Cancer Genome Atlas, aneuploidy was correlated with TP53 mutation, somatic mutation rate, and expression proliferation genes. Aneuploidy anti-correlated immune signaling genes, due to decreased leukocyte infiltrates in high-aneuploidy samples. Chromosome arm-level alterations show cancer-specific patterns, including loss 3p squamous We applied genome...

10.1016/j.ccell.2018.03.007 article EN cc-by-nc-nd Cancer Cell 2018-04-01

<h2>Summary</h2> DNA damage repair (DDR) pathways modulate cancer risk, progression, and therapeutic response. We systematically analyzed somatic alterations to provide a comprehensive view of DDR deficiency across 33 types. Mutations with accompanying loss heterozygosity were observed in over 1/3 genes, including <i>TP53</i> <i>BRCA1/2</i>. Other prevalent included epigenetic silencing the direct genes <i>EXO5</i>, <i>MGMT</i>, <i>ALKBH3</i> ∼20% samples. Homologous recombination (HRD) was...

10.1016/j.celrep.2018.03.076 article EN cc-by-nc-nd Cell Reports 2018-04-01
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