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MCM3 is a novel proliferation marker associated with longer survival for patients with tubo-ovarian high-grade serous carcinoma
Eun Young Kang, Joshua Millstein, Gordana Popović, Nicola S. Meagher, Adelyn Bolithon, Aline Talhouk, Derek S. Chiu, Michael S. Anglesio, Betty Leung, Katrina Tang, Neil Lambie, Marina Pavanello, Annalyn Da-Anoy, Diether Lambrechts, Liselore Loverix, Siel Olbrecht, Christiani Bisinotto, Jesús García-Donás, Sergio Ruiz‐Llorente, Mónica Yagüe-Fernández, Robert P. Edwards, Esther Elishaev, Alexander Olawaiye, Sarah E. Taylor, Beyhan Ataseven, Andreas du Bois, Philipp Harter, Jenny Lester, Claus Høgdall, Sebastian M. Armasu, Yajue Huang, Robert A. Vierkant, Chen Wang, Stacey J. Winham, Sabine Heublein, F. Kommoss, Daniel W. Cramer, Naoko Sasamoto, Lilian van‐Wagensveld, Maria Lycke, Constantina Mateoiu, Janine M. Joseph, Malcolm C. Pike, Kunle Odunsi, Chiu-Chen Tseng, Celeste Leigh Pearce, Sanela Bilic, Thomas P. Conrads, Arndt Hartmann, Alexander Hein, Michael E. Jones, Yee Leung, Matthias W. Beckmann, Matthias Ruebner, Minouk J. Schoemaker, Kathryn L. Terry, Mona El‐Bahrawy, Penny Coulson, John Lewis Etter, Katherine LaVigne-Mager, Juergen Andress, Marcel Grube, Anna Fischer, Nina Neudeck, Greg Robertson, Rhonda Farrell, Ellen Barlow, Carmel M. Quinn, Anusha Hettiaratchi, Yovanni Casablanca, Ramona Erber, Colin J.R. Stewart, Adeline Tan, Yu Yu, Jessica Boros, Alison H. Brand, Paul R. Harnett, Catherine J. Kennedy, Nikilyn Nevins, Terry K. Morgan, Peter A. Fasching, Ignace Vergote, Anthony J. Swerdlow, Francisco José Cândido dos Reis, G. Larry Maxwell, Susan L. Neuhausen, Arántzazu Barquín, Francesmary Modugno, Kirsten B. Moysich, Philip Crowe, Akira Hirasawa, Florian Heitz, Beth Y. Karlan, Ellen L. Goode, Hans‐Peter Sinn, Hugo M. Horlings, Estrid Høgdall, Karin Sundfeldt, Stefan Kommoss, Annette Staebler, Anna H. Wu, Paul A. Cohen, Anna DeFazio, Cheng‐Han Lee, Helen Steed, Nhu D. Le, Simon A. Gayther, Kate Lawrenson, Paul D.P. Pharoah, Gottfried E. Konecny, Linda S. Cook, Susan J. Ramus, Linda E. Kelemen, Martin Köbel
Bibliographic record
VenueArchiv für Pathologische Anatomie und Physiologie und für Klinische Medicin · 2021
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsAlberta Health ServicesRoyal Alexandra HospitalUniversity of AlbertaVancouver General HospitalUniversity of British ColumbiaBC Cancer AgencyFoothills Medical CentreUniversity of Calgary
FundersMedical Research and Materiel CommandNational Institutes of HealthTranslational Cancer Research NetworkBC Cancer FoundationUniversity of New South WalesMichael Smith Health Research BCAlberta Precision LaboratoriesNational Health and Medical Research CouncilAmerican Cancer SocietyCancer Research UKUniversity of CalgarySydney West Translational Cancer Research CentreNSW Ministry of HealthSwedish Cancer FoundationVGH and UBC Hospital FoundationNational Cancer InstituteKWF KankerbestrijdingNational Center for Research ResourcesCancer Institute NSW
KeywordsImmunohistochemistryOvarian carcinomaChemotherapySerous fluidCancer researchSerous carcinomaInternal medicineSurvival analysisMessenger RNABiologyOvarian cancerOncologyMedicineCancerGene
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 head0.030
GPT teacher head0.313
Teacher spread0.283 · 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 teacher head, not a consensus.
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
Citations23
Published2021
Admission routes2
Has abstractno