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ASCERTAIN: An open-label, randomized, phase 1, window-of-opportunity study to investigate the biological effects of AZD5305 and darolutamide alone or in combination in men with prostate cancer eligible for radical prostatectomy.

2024· article· en· W4391303280 on OpenAlexaff
Simon Pacey, Kim N., Arun Azad, Niven Mehra, Harveer Dev, Martin Gleave, Jacques Planas, Anne Y. Warren, Elizabeth A. Harrington, Mark R. Albertella, Massimo Squatrito, Luiza Moore, TJ Zhou, Lynsey Womersley, Ko Sugibayashi, Sabina Cosulich, Bruno de Paula, Edit Lukacs, Joaquı́n Mateo

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineProstate cancerWindow of opportunityOncologyRandomized controlled trialOpen labelInternal medicineCancer

Abstract

fetched live from OpenAlex

TPS356 Background: Novel hormonal agents (NHAs), such as darolutamide, are the standard of care for treatment of metastatic prostate cancer (mPC). There is emerging evidence that combining PARP inhibitors with NHAs can further improve benefit in patients with mPC. AZD5305 is a potent and selective PARP inhibitor that specifically targets and inhibits PARP1 while sparing other PARP family enzymes and has the potential for demonstrating a better therapeutic index compared to first-generation PARP inhibitors that block both PARP1 and PARP2. The Phase 3 PROpel study showed that first-line combination treatment with olaparib and abiraterone significantly improved radiographic progression-free survival (rPFS) over abiraterone alone in pts with metastatic castration-resistant PC (mCRPC) (hazard ratio [HR], 0.66; 95% CI, 0.54 to 0.81; p<0.001). Similarly, the Phase 3 TALAPRO-2 study showed that first-line talazoparib with enzalutamide resulted in statistically significant improvement in rPFS over enzalutamide alone in pts with mCRPC (HR, 0.63; 95% CI, 0.51 to 0.78; p<0.0001). Both PARP1 and androgen receptor are involved in DNA repair, which may explain the additional benefit of combining PARP inhibitors with NHAs; however, direct demonstration of the mechanism behind the benefit of combination treatment have not been established in humans. ASCERTAIN is a window-of-opportunity study that will provide insights into the mechanism of action of combination treatment with PARP inhibitors and NHAs, further supporting their use in clinical practice. Methods: ASCERTAIN (NCT05938270) is a Phase 1 multi-center study enrolling pts aged ≥18 years with localized, unfavorable-intermediate or high-risk PC who are eligible for radical prostatectomy. Pts with prior treatment with any systemic or local anti-cancer treatment for localized PC are excluded. Eligible pts will either be randomly allocated to receive AZD5305 alone or in combination with darolutamide 600 mg twice daily (BD) or darolutamide alone (600 mg BD), for a period of 21 days; additional pts will be recruited into a no-treatment arm. Pts will undergo surgery on Day 22. The primary objective is to assess the fold change from baseline in the percentage of cells with phosphorylated-Ser139 histone H2AX, a marker of DNA damage, in tumor biopsy samples at diagnosis and in the surgical specimen. Key secondary objectives include safety and tolerability; surgery outcomes; and the change in percentage of Ki-67-positive cells in tumor samples. Exploratory analysis using comprehensive omics approaches are planned to elucidate further insights into the mechanism of action of combination therapy. Enrollment began in September 2023; sites across North America, Europe and Australia will enroll up to 120 patients. Clinical trial information: NCT05938270 .

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)0.001
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 score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0130.002

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 head0.193
GPT teacher head0.533
Teacher spread0.339 · 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".

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Citations1
Published2024
Admission routes1
Has abstractyes

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