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Comprehensive Molecular Characterization of Pheochromocytoma and Paraganglioma
Lauren Fishbein, Ignaty Leshchiner, Vonn Walter, Ludmila Danilova, A. Gordon Robertson, Amy R. Johnson, Tara M. Lichtenberg, Bradley A. Murray, Hans K. Ghayee, Tobias Else, Shiyun Ling, Aguirre A. de Cubas, Brandon M. Wenz, Esther Korpershoek, Antonio L. Amelio, Liza Makowski, W. Kimryn Rathmell, Anne‐Paule Gimenez‐Roqueplo, Thomas J. Giordano, L. Sylvia, Arthur S. Tischler, Karel Pacák, Katherine L. Nathanson, Matthew D. Wilkerson, Rehan Akbani, Adrian Ally, Laurence Amar, Harindra Arachchi, Richard J. Auchus, J. Todd Auman, Robert Baertsch, Miruna Balasundaram, Saianand Balu, Detlef K. Bartsch, Éric Baudin, Thomas Bauer, Allison Beaver, Christopher C. Benz, Rameen Beroukhim, Felix Beuschlein, Tom Bodenheimer, Lori Boice, Jay Bowen, Reanne Bowlby, Denise Brooks, Rebecca Carlsen, Suzie Carter, Clarissa A. Cassol, Andrew D. Cherniack, Lynda Chin, Juok Cho, Eric Chuah, Sudha Chudamani, Leslie Cope, Daniel Crain, Erin Curley, Ronald R. de Krijger, John A. Demchok, Timo Deutschbein, Noreen Dhalla, David Dimmock, Winand N.M. Dinjens, Charis Eng, Jennifer Eschbacher, Martin Faßnacht, Ina Felau, Michael D. Feldman, Martin L. Ferguson, Ian T. Fiddes, Scott Frazer, Stacey Gabriel, Johanna Gardner, Julie M. Gastier‐Foster, Nils Gehlenborg, Mark Gerken, Gad Getz, Jennifer L. Geurts, Mary J. Goldman, Kiley Graim, Manaswi Gupta, David Haan, Stefanie Hahner, Constanze Hantel, David Haussler, D. Neil Hayes, David I. Heiman, Katherine A. Hoadley, Robert A. Holt, Alan P. Hoyle, Mei Huang, Bryan Hunt, Carolyn M. Hutter, Steven J.M. Jones, Corbin D. Jones, Electron Kebebew, Patrick K. Kimes, Theo Knijnenburg, Eric S. Lander, Michael S. Lawrence, Ronald M. Lechan, Darlene Lee, Kristen Leraas, Antônio Marcondes Lerário, Pei Lin, Jia Liu, Virginia A. LiVolsi, Laxmi Lolla, Yair Lotan, Yiling Lu, Yussanne Ma, Nicole Maison, David Mallery, Massimo Mannelli, Jessica Marquard, Marco A. Marra, Thomas Matthew, Michael Mayo, Tchao Méatchi, Shaowu Meng, Maria J. Merino, Özgür Mete, Matthew Meyerson, Piotr A. Mieczkowski, Gordon B. Mills, Richard A. Moore, Olena Morozova, Scott Morris, Lisle E. Mose, Andrew J. Mungall, Rashi Naresh, Yulia Newton, Sam Ng, Ying Ni, Michael S. Noble, Fiemu E. Nwariaku, Joel S. Parker, Evan D. Paul, Robert Penny, Charles M. Perou, Amy H. Perou, Todd Pihl, James F. Powers, Jennifer Rabaglia, Amie Radenbaugh, Nilsa C. Ramirez, Arjun A. Rao, Anna Riester, Jeffrey Roach, Sara Sadeghi, Gordon Saksena, Sofie R. Salama, Charles Saller, George Sandusky, Silviu Sbiera, Jacqueline E. Schein, Steven E. Schumacher, Candace Shelton, Troy Shelton, Margi Sheth, Yan Shi, Juliann Shih, Ilya Shmulevich, Janae V. Simons, Payal Sipahimalani, Tara Skelly, Heidi J. Sofia, Artem Sokolov, Matthew G. Soloway, Carrie Sougnez, Joshua M. Stuart, Charlie Sun, Teresa Swatloski, Angela Tam, Donghui Tan, Roy Tarnuzzer, Katherine Tarvin, Nina Thiessen, Leigh B. Thorne, Henri Timmers, Kane Tse, Anouk van Berkel, Umadevi Veluvolu, Aleš Vícha, Doug Voet, Jens Waldmann, Yunhu Wan, Tracy Wang, Joellen Weaver, John N. Weinstein, Dirk Weismann, Lisa Wise, Tina Wong, Christopher X. Wong, Ye Wu, Liming Yang, Tomáš Zelinka, Jean C. Zenklusen, Jiashan Zhang, Wei Zhang, Jingchun Zhu, Franck Zinzindohoué, Erik Zmuda
Bibliographic record
VenueCancer Cell · 2017
Typearticle
Languageen
FieldMedicine
TopicAdrenal and Paraganglionic Tumors
Canadian institutionsUniversity Health NetworkCanada's Michael Smith Genome Sciences CentreUniversity of TorontoBC Cancer Agency
FundersNational Cancer InstituteNational Human Genome Research InstituteNational Institutes of HealthBayer
KeywordsHRASParagangliomaPheochromocytomaBiologyGeneFusion geneGermlineCancer researchWnt signaling pathwayGermline mutationProto-Oncogene Proteins c-retMutationGeneticsEndocrinologyReceptorMedicinePathologyKRAS
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)0.000
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 score0.002
Threshold uncertainty score0.003
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.001 | 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 head0.019
GPT teacher head0.293
Teacher spread0.275 · 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
Citations783
Published2017
Admission routes1
Has abstractno