MétaCan
Menu
Back to cohort

Evolve: A post PARP inhibitor clinical translational phase II trial of cediranib-olaparib in ovarian cancer—A Princess Margaret Consortium – GCIG Phase II Trial.

2019· article· en· W2947096198 on OpenAlexaff
Stéphanie Lheureux, Ana Oaknin, Swati Garg, Jeffrey P. Bruce, Neesha C. Dhani, Ainhoa Madariaga, Luisa Bonilla, Yeh Chen Lee, Ilaria Colombo, Gita Bhat, Valerie Bowering, Justin White, Sarah Accardi, Susie Tan, Marsela Braunstein, Katherine Karakasis, Zhihui Liu, Trevor J. Pugh, Amit M. Oza

Bibliographic record

VenueJournal of Clinical Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsUniversity of TorontoOzmosis Research (Canada)Princess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsOlaparibMedicineInternal medicineOncologyPARP inhibitorBRCA mutationProgression-free survivalOvarian cancerClinical trialPhases of clinical researchCancerResponse Evaluation Criteria in Solid TumorsProgressive diseaseChemotherapy

Abstract

fetched live from OpenAlex

5521 Background: PARP inhibitors (PARPi) are approved therapies in high grade serous ovarian cancer (HGSOC). There are few studies after PARPi progression and correlation with dynamic changes in resistance. We hypothesized that PARPi resistance could be overcome by adding an anti-angiogenic. Methods: We report the first phase 2 trial assessing the combination of olaparib and cediranib after PARPi failure in HGSOC. This investigator initiated study included three cohorts of 10 evaluable patients (pts): i) platinum sensitive post PARPi (PS), ii) platinum resistant post PARPi (PR) and iii) exploratory cohort of pts re-challenged with chemotherapy post PARPi progression (PE) (NCT02681237). The primary objective was to determine objective response rate by RECIST v1.1 and progression free survival (PFS) at 16 weeks. Secondary objectives were to evaluate safety, PFS, overall survival (OS) and mechanisms of PARPi resistance. Pts who had radiographic progression on any PARPi were eligible. Archival tumor at initial diagnosis and baseline tumor biopsy at PARPi progression were mandatory. Pts received olaparib tablets 150mg BID with cediranib 20mg QD until progression or unacceptable toxicity. CT scans were performed every 8 weeks. Whole exome and RNA sequencing were performed on paired tumors tissues. Results: Thirty-four pts were enrolled. BRCA1/2 mutations were found in 9/11 PS, 8/10 PR and 7/13 PE pts. By RECIST1.1, four partial responses were observed (2 in PR and 2 in PE cohorts) and 18 stable disease. The 16−week PFS was 54.5% (31.8−93.6) in PS, 50% (26.9−92.9) in PR and 36% (15.6−82.8) in PE, respectively. OS at 1 year was 81.8% (61.9−100) in PS, 64.8% (39.3−100) in PR and 39.1% (14.7−100) in PE. Main related adverse events were anemia, hypertension, diarrhea and fatigue, grade 3 < 10%. Molecular analyses identified different mechanisms of PARPi resistance in ~77% of evaluable pts with matched pre-post PARPi progression biopsies such as reversion mutations in BRCA1/2 and other homologous repair (HR) genes; BRCA, HR and MDR upregulation, CCNE amplification and RIG-I like receptor downregulation. Conclusions: Treatment with olaparib-cediranib after PARPi failure was feasible and met the predefined bar for efficacy in each cohort. This is the largest clinical trial prospectively evaluating PARPi failure and correlating tissue genomic mechanisms of resistance. Clinical trial information: NCT02681237.

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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

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 studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.156
GPT teacher head0.529
Teacher spread0.373 · 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 designNon-randomized 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

Citations14
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical OncologySame topicPARP inhibition in cancer therapyFrench-language works237,207