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The Somatic Genomic Landscape of Glioblastoma
Cameron Brennan, Roel G.W. Verhaak, Aaron McKenna, Benito Campos, Houtan Noushmehr, Sofie R. Salama, Siyuan Zheng, Debyani Chakravarty, Zack Sanborn, Samuel Berman, Rameen Beroukhim, Brady Bernard, Giannicola Genovese, 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, 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, Charles M. Perou, D. Neil Hayes, Richard A. Gibbs, Marco A. Marra, Gordon B. Mills, Eric S. Lander, Paul T. Spellman, Richard K. Wilson, John N. Weinstein, Stacey Gabriel, Peter W. Laird, David Haussler, Gad Getz, Lynda Chin, Christopher C. Benz, Wendi Barrett, Quinn T. Ostrom, Yingli Wolinsky, Bikash Bose, Paul T. Boulos, Madgy Boulos, Jenn Brown, Christine Czerinski, Matthew Eppley, 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, Steven N. Kalkanis, Laila Poisson, Aditya Raghunathan, Lisa Scarpace, Ryan Bressler, Andrea Eakin, Lisa Iype, Richard Kreisberg, Kalle Leinonen, Sheila M. Reynolds, Hector Rovira, Vésteinn Thórsson, Matti Annala, Joseph Paulauskis, Erin Curley, Martha Hatfield, David Mallery, Scott Morris, Troy Shelton, Candace Shelton, Mark E. Sherman, Peggy Yena, Lucia Cuppini, Francesco DiMeco, Marica Eoli, Emanuela Maderna, Bianca Pollo, Marco Saini, Saianand Balu, Katherine A. Hoadley, Ling Li, C. Ryan Miller, Yan Shi, Michael D. Topal, Junyuan Wu, Gavin P. Dunn, Caterina Giannini, Bülent Arman Aksoy, Yevgeniy Antipin, Laetitia Borsu, Ethan Cerami, Jianjiong Gao, Benjamin Groß, Marc Ladanyi, Alex Lash, Yupu Liang, Boris Reva, Nikolaus Schultz, Ronglai Shen, Nicholas D. Socci, Agnès Viale, Martin L. Ferguson, Qingrong Chen, John A. Demchok, Laura A. L. Dillon, Kenna Shaw, Margi Sheth, Roy Tarnuzzer, Liming Yang, Tanja M. Davidsen, Mark S. Guyer, Bradley A. Ozenberger, Heidi J. Sofia, Julie Bergsten, John Eckman, Jodi Harr, Christine Smith, Kelly J. Tucker, Cindy Winemiller, Leigh Anne Zach, Julia Y. Ljubimova, Greg Eley, Brenda Ayala, Mark A. Jensen, A Kahn, Todd Pihl, David Pot, Yunhu Wan, Nathan Hansen, Parvi Hothi, Biaoyang Lin, Nameeta Shah, Jae‐Geun Yoon, Ching C. Lau, Michael E. Berens, Kristin Ardlie, Scott L. Carter, Andrew D. Cherniack, Mike Noble, Juok Cho, Kristian Cibulskis, Daniel DiCara, Scott Frazer, Nils Gehlenborg, Jeff Gentry, David I. Heiman, Jaegil Kim, Rui Jing, Michael S. Lawrence, Pei Lin, Will Mallard, Robert C. Onofrio, Gordon Saksena, Steve Schumacher, Petar Stojanov, Barbara Tabak, Doug Voet, Hailei Zhang, Nathan N. Dees, Jun Li, Lucinda Fulton, Robert S. Fulton, Krishna-Latha Kanchi, Elaine R. Mardis, Stephen B. Baylin, Larry A. Harshyne, Mark L. Cohen, Karen Devine, Scott R. VandenBerg, Mitchel S. Berger, Brian Craft, Kyle Ellrott, Mary J. Goldman, Theodore C. Goldstein, Mia Grifford, Singer Ma, Sam Ng, Joshua M. Stuart, Teresa Swatloski, Peter Waltman, Jing Zhu, Robin M. Foss, Barbara Frentzen, Raquel G. McTiernan, Anthony T. Yachnis, Yong Mao, Rehan Akbani, Oliver Bögler, Gregory N. Fuller, Wenbin Liu, Yuexin Liu, Yiling Lu, Alexei Protopopov, Xiaojia Ren, Youting Sun, Jianhua Zhang, Ken Chen, Phillip H. Lai, Timothy J. Triche, David Van Den Berg, David H. Gutmann, Norman L. Lehman, Daniel J. Brat, Jeffrey J. Olson, Gena M. Mastrogianakis, Narra S. Devi, Zhaobin Zhang, Eric Lipp, Roger E. McLendon
Bibliographic record
VenueCell · 2013
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsBC Cancer AgencyCanada's Michael Smith Genome Sciences CentreToronto Western Hospital
FundersNational Cancer InstituteNational Institute of Neurological Disorders and StrokeNational Human Genome Research InstituteHoward Hughes Medical Institute
KeywordsBiologySomatic cellGlioblastomaGeneticsComputational biologyEvolutionary biologyCancer researchGene
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.006
GPT teacher head0.210
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations5,161
Published2013
Admission routes1
Has abstractno