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Beyond BRCA deficiency: Clinical and molecular predictors of survival in patients with BRCA-deficient tubo-ovarian high-grade serous carcinoma
Dale W. Garsed, Tibor A. Zwimpfer, Sián Fereday, Ahwan Pandey, Dinuka Ariyaratne, Madawa Jayawardana, Laura Twomey, Céline M. Laumont, Catherine J. Kennedy, Adelyn Bolithon, Nicola S. Meagher, Katy Milne, Phineas T. Hamilton, Jennifer Alsop, Antonis C. Antoniou, George Au‐Yeung, Matthias W. Beckmann, Amy Berrington de González, Christiani Bisinotto, Freya Blome, Clara Bodelón, Jessica Boros, Alison H. Brand, Michael E. Carney, Alicia Cazorla, Derek S. Chiu, Elizabeth L. Christie, Anita Chudecka-Głaz, Penny Coulson, Kara L. Cushing‐Haugen, Cezary Cybulski, Kathleen M. Darcy, C. W. Mabey David, Trent Davidson, Arif B. Ekici, Esther Elishaev, Julius Emons, Tobias Engler, Rhonda Farrell, Anna Fischer, Montserrat García‐Closas, Aleksandra Gentry-Maharaj, Prafull Ghatage, Rosalind Glasspool, Philipp Harter, Andreas D. Hartkopf, Arndt Hartmann, Sebastian Heikaus, Brenda Y. Hernandez, Anusha Hettiaratchi, Sabine Heublein, David G. Huntsman, Mercedes Jimenez-Linan, Michael E. Jones, Eunyoung Kang, Ewa Kaznowska, Tomasz Kluz, F. Kommoss, Gottfried E. Konecny, Diether Lambrechts, Cheng‐Han Lee, Jenny Lester, Samuel Leung, Yee Leung, Anna Linder, Jolanta Lissowska, Liselore Loverix, Jan Lubiński, Constantina Mateoiu, Iain A. McNeish, Malak Moubarak, Gregg Nelson, Nikilyn Nevins, Alexander Olawaiye, Siel Olbrecht, Sandra Oršulić, Ana Osório, Carmel M. Quinn, Ganendra Raj Mohan, Isabelle Ray‐Coquard, Cristina Rodríguez‐Antona, Patricia Roxburgh, Matthias Ruebner, Stuart Salfinger, Spinder Samra, Minouk J. Schoemaker, Hans‐Peter Sinn, Gabe S. Sonke, Linda Steele, Colin J.R. Stewart, Aline Talhouk, Adeline Tan, Christopher M. Tarney, Sarah E. Taylor, Koen Van de Vijver, Maaike AVan Der Aa, Toon Van Gorp, Els Van Nieuwenhuysen, Lilian van Wagensveld, Andrea E. Wahner-Hendrickson, Christina B. Walter, Chen Wang, Julia Welz, Nicolas Wentzensen, Lynne R. Wilkens, Stacey J. Winham, Boris Winterhoff, Michael S. Anglesio, Andrew Berchuck, Francisco José Cândido dos Reis, Paul A. Cohen, Thomas P. Conrads, Philip Crowe, Jennifer A. Doherty, Peter A. Fasching, Renée T. Fortner, María J. García, Simon A. Gayther, Marc T. Goodman, Jacek Gronwald, Holly R. Harris, Florian Heitz, Hugo M. Horlings, Beth Y. Karlan, Linda E. Kelemen, G. Larry Maxwell, Usha Menon, Francesmary Modugno, Susan L. Neuhausen, Joellen M. Schildkraut, Annette Staebler, Karin Sundfeldt, Anthony Swedlow, Ignace Vergote, Anna H. Wu, James D. Brenton, Paul D.P. Pharoah, Celeste Leigh Pearce, M. C. Pike, Ellen L. Goode, Susan J. Ramus, Martin Köbel, Brad H. Nelson, Anna DeFazio, Michael Friedländer, David D.L. Bowtell
Bibliographic record
VenueResearch Square · 2025
Typepreprint
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsVancouver General HospitalUniversity of AlbertaUniversity of CalgaryUniversity of British Columbia
FundersInstituto de Salud Carlos IIINational Health and Medical Research CouncilMedical Research CouncilUniformed Services University of the Health SciencesMedical Research and Materiel CommandGenentechNational Institutes of HealthBeiGenePeter MacCallum Cancer CentreMedizinische Abteilung der Margarete und Walter Lichtenstein-StiftungMinisterio de Ciencia e InnovaciónCancer Institute NSWAgencia Estatal de InvestigaciónMarshfield Clinic Research FoundationAstraZenecaOvarian Cancer Research FoundationMinisterio de Ciencia, Innovación y UniversidadesGlaxoSmithKlineEuropean Regional Development FundU.S. Department of Defense
KeywordsContext (archaeology)GermlineSerous fluidSerous carcinomaDiseaseCohortImmune systemSurvival analysis
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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 head0.042
GPT teacher head0.382
Teacher spread0.340 · 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
Citations0
Published2025
Admission routes1
Has abstractno