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DUETTE: A randomized phase II study to assess a second maintenance treatment with olaparib (ola) or ola+ceralasertib (cer), in patients (pts) with platinum-sensitive relapsed (PSR) epithelial ovarian cancer who have previously received PARP inhibitor maintenance treatment (NCT04239014).

2020· article· en· W3029883096 on OpenAlexaff
Amit M. Oza, Andrew J. Pierce, Alan Lau, Nisha Kurian, Graeme Parr, S. Lao‐Sirieix, M. Ah-See, Emma Dean, Bienvenu Loembé

Bibliographic record

VenueJournal of Clinical Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineOlaparibOvarian cancerOncologyBRCA mutationPopulationInternal medicineCancerClinical trialMaintenance therapyChemotherapyBiology

Abstract

fetched live from OpenAlex

TPS6104 Background: Ovarian cancer is the leading cause of death from gynecological cancers in the USA, and the fifth most common cause of cancer death in women. Ola is a PARPi approved for first-line maintenance treatment of BRCA-mutated advanced ovarian cancer in women who achieve a complete or partial response to platinum-based chemotherapy. Ola is also efficacious in combination with bevacizumab in the same population, independent of BRCA mutation status. Cer is a potent, oral, selective inhibitor of ATR. ATR is a critical DDR kinase that is activated in response to replication stress and stalled replication forks. There is no second maintenance standard of care for patients with PSR ovarian cancer who have previously received a PARPi in the maintenance setting. Pre-clinical models have shown that several mechanisms of PARPi resistance may be overcome by ATR inhibition, such as BRCA reversion, replication fork protection and DDR rewiring. DUETTE will select pts with tumor response or stable disease after second or third-line platinum-based treatment, with the expectation to enrich for non-BRCA reversion PARPi resistance mechanisms. The study will address the role of a second maintenance treatment following prior 1L or 2L maintenance, an emerging population of unmet need, and includes translational studies that aim to further our knowledge of clinical PARPi resistance mechanisms and predictors of treatment response. Methods: DUETTE is a global, multi-center, phase II study. 192 pts with PSR epithelial ovarian cancer who have previously received PARPi maintenance treatment, will be retreated with platinum and those who have not progressed after ≥ 4 cycles will be randomized (1:1:1) to 3 treatment arms: Arm 1, open-label: cer 160 mg once daily (qd) days 1 to 7 plus ola 300 mg twice daily (bd); Arm 2, blinded: ola monotherapy 300 mg bd and Arm 3, blinded: ola-placebo. Treatment is administered in 28-day cycles. All pts will be stratified by BRCA status (mutation or wildtype) and response to most recent line of platinum-based chemotherapy (CR/PR or SD). The primary endpoint is to assess the efficacy of maintenance ola monotherapy and cer+ola combination therapy compared with placebo by PFS using blinded, independent central review. Secondary endpoints are overall survival, PFS2, ORR, DoR, safety and tolerability. Enrolment is planned to start in April 2020.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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)0.002
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0120.002

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 head0.095
GPT teacher head0.423
Teacher spread0.327 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine 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 designRandomized trial
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

Citations1
Published2020
Admission routes1
Has abstractyes

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