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Record W4403089488 · doi:10.1200/jco.24.00683

Cediranib and Olaparib Combination Compared With Cediranib or Olaparib Alone, or Chemotherapy in Platinum-Resistant or Primary Platinum-Refractory Ovarian Cancer: NRG-GY005

2024· article· en· W4403089488 on OpenAlexaff
Jung‐Min Lee, Mark F. Brady, Austin Miller, Richard G. Moore, Helen Mackay, Leah McNally, Jayanthi Lea, Daron Street, Stéphanie Lheureux, Megan McDonald, Linda Duska, Guilherme Cantuaria, Juraj Kavecansky, Charles A. Leath, Matthew A. Powell, Mark G. Cadungog, Peter G. Rose, Yong‐Man Kim, Helen Huang, Michèle Provencher, Lari Wenzel, Michael A. Bookman, Elise C. Kohn, Angeles Alvarez Secord

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsUniversité de MontréalPrincess Margaret Cancer CentreHealth Sciences CentreSunnybrook Health Science Centre
FundersNational Center for Advancing Translational SciencesNational Cancer Institute
KeywordsOlaparibMedicineOvarian cancerRefractory (planetary science)OncologyPlatinumInternal medicineChemotherapyCancerPoly ADP ribose polymerase

Abstract

fetched live from OpenAlex

PURPOSE We assessed the efficacy of cediranib, olaparib, and cediranib/olaparib compared with standard-of-care chemotherapy (SOC) in platinum-resistant or platinum-refractory epithelial ovarian cancer (PROC). PATIENTS AND METHODS NRG-GY005 is an open-label, four-arm, phase II/III superiority trial enrolling patients with high-grade serous/endometrioid PROC and one to three previous therapies. Key exclusion criteria included previous receipt of poly(ADP-ribose) polymerase inhibitor or receipt of antiangiogenic therapy in the recurrent setting. Treatment arms (SOC [once weekly paclitaxel, topotecan, or pegylated liposomal doxorubicin], cediranib, olaparib, or cediranib/olaparib) were equally randomized. A preplanned interim futility analysis on the basis of progression-free survival (PFS) selected treatment arms to advance to phase III. PFS and overall survival (OS) were phase III coprimary end points, with hierarchical testing of PFS followed by OS to preserve type 1 error control, designed to have 90% power for a 0.625 PFS hazard ratio (HR). OS was tested after PFS in the multiple hierarchical testing procedure. Secondary end points included objective response rate (ORR) and patient-reported outcomes. RESULTS Five hundred sixty-two eligible patients were enrolled for phase II/III. Three arms met PFS criteria to carry forward to phase III (SOC, cediranib/olaparib, and cediranib). Median PFS was 3.4, 5.2, and 4 months with SOC, cediranib/olaparib, and cediranib, respectively, with a median follow-up duration of 42.2 months. PFS HR estimates for cediranib/olaparib and cediranib ( v SOC) were 0.796 (98.3% CI, 0.597 to 1.060) and 0.972 (98.3% CI, 0.726 to 1.300), respectively. Median OS was 13.6, 12.8, and 10.5 months, and of 443 patients with measurable disease, ORR was 8.6%, 24.7%, and 13.1% for SOC, cediranib/olaparib, and cediranib, respectively. No new safety signals were identified. In patients receiving cediranib/olaparib, no statistically significant difference was observed on the NFOSI-DRS-P subscale compared with SOC (98.3% CI, –1.3 to 1.5, P = .8725). CONCLUSION The cediranib-containing arms demonstrated clinical activity on the basis of PFS but were not superior compared with SOC.

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)0.002
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.108
GPT teacher head0.445
Teacher spread0.337 · 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

Citations22
Published2024
Admission routes1
Has abstractyes

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