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The successful phase 3 niraparib ENGOT-OV16/NOVA trial included a substantial number of patients with platinum resistant ovarian cancer (OC).

2017· article· en· W2763669093 on OpenAlexaff
José María Del Campo, Mansoor Raza Mirza, Jonathan S. Berek, Diane Provencher, Guenter Emons, Michel Fabbro, Rosemary Lord, Nicoletta Colombo, Edgar Petru, Robert M. Wenham, Jørn Herrstedt, Lucy Gilbert, Martin Heubner, Antonio González-Martı́n, Philippe Follana, Benedict B. Benigno, Anne Dørum, B.J. Rimel, Sebastien Hazard, Ursula A. Matulonis

Bibliographic record

VenueJournal of Clinical Oncology · 2017
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsMcGill University Health CentreCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineInternal medicineChemotherapyRegimenOncologyRandomizationPlaceboOvarian cancerPopulationCohortProgression-free survivalChemotherapy regimenSurgeryCancerRandomized controlled trialPathology

Abstract

fetched live from OpenAlex

5560 Background: Niraparib is a highly selective poly (ADP-ribose) polymerase (PARP) 1/2 inhibitor (PARPi); in preclinical studies, it concentrates in the tumor relative to plasma to deliver durable, near complete PARP inhibition and persistent antitumor effects.Niraparib demonstrated significantly longer progression free survival (PFS) vs placebo in patients (pts) with recurrent OC who were randomized following a complete response (CR) or partial response (PR) to platinum based chemotherapy in the controlled, double-blind phase 3 ENGOT-OV16/NOVA trial. To more fully characterize the NOVA trial population, we assessed platinum resistance status, defined as a duration of response to platinum < 6 months to the most recent (ultimate) platinum regimen. Analysis was limited to pts in the placebo arm, as inclusion of pts receiving active treatment (niraparib) would have confounded the ability to determine duration of response to platinum alone. Methods: Pts with recurrent OC, no prior PARPi use, ≥2 prior courses of platinum based chemotherapy, and CR or PR to the most recent platinum based chemotherapy were eligible. Pts were assigned to one of two cohorts based on g BRCA testing (g BRCAmut or non-g BRCAmut) and randomized 2:1 within each cohort to niraparib 300 mg or placebo qd until progressive disease (PD). Randomization occurred up to 8 weeks following the last dose of the most recent platinum based chemotherapy. PFS was measured from time of randomization to death or earliest PD as assessed by independent review committee. Estimated probability of pts having disease progression in each cohort and pooled across cohorts 6 months after the last dose of their most recent platinum therapy was calculated using the Kaplan-Meier methodology. Results: 181 pts were randomized to placebo (65 g BRCAmut and 116 non-g BRCAmut). Platinum resistance rate estimates for the g BRCAmut, non-g BRCAmut, and pooled cohorts were 42%, 53%, and 49%, respectively. Conclusions: Approximately half of the pts in the NOVA study, where niraparib treatment met its primary endpoint of prolonging PFS following a response to platinum, had developed platinum resistance to their last line of chemotherapy. Clinical trial information: NCT01847274.

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 score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.152
GPT teacher head0.528
Teacher spread0.376 · 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

Citations8
Published2017
Admission routes1
Has abstractyes

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