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TALAPRO-3: A phase 3, double-blind, randomized study of enzalutamide (ENZA) plus talazoparib (TALA) vs placebo plus ENZA in patients with DDR gene-mutated, metastatic castration-sensitive prostate cancer (mCSPC).

2023· article· en· W4324137014 on OpenAlexaff
Neeraj Agarwal, Fred Saad, Arun Azad, Joaquı́n Mateo, Nobuaki Matsubara, Neal D. Shore, Jayeta Chakrabarti, Hsiang-Chun Chen, Silvana Lanzalone, Alexander Niyazov, Karim Fizazi

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsUniversité de Montréal
FundersPfizer
KeywordsEnzalutamideMedicinePARP inhibitorProstate cancerInternal medicinePlaceboOncologyCancerAndrogen receptorCancer researchPathologyPoly ADP ribose polymeraseGeneticsBiologyGene

Abstract

fetched live from OpenAlex

TPS279 Background: TALA is a poly(ADP-ribose) polymerase inhibitor (PARPi) that has shown efficacy in metastatic castration-resistant prostate cancers with alterations in DNA damage response (DDR) genes involved directly or indirectly in homologous recombination repair (HRR). ENZA is an androgen receptor (AR) inhibitor and established therapy for mCSPC. Since PARP activity has been shown to support AR function, PARP inhibition may increase sensitivity to AR-directed therapies. In addition, AR blockade downregulates HRR gene regulation, which has been hypothesized to induce a “ BRCAness” phenotype. These studies suggest that TALA in combination with ENZA may significantly improve clinical outcomes for men with mCSPC and DDR-HRR alterations. The phase 3, double-blind, randomized trial TALAPRO-3 (NCT04821622) herein presented will compare the combination of TALA plus ENZA vs placebo plus ENZA in this setting. Methods: Approximately 550 patients with mCSPC harboring DDR-HRR alterations will be randomized to TALA (0.5 mg once daily [QD]) plus ENZA (160 mg QD) or placebo (once daily) plus ENZA (160 mg QD). Patients will be stratified according to de novo mCSPC vs relapsed mCSPC, high-volume disease vs low-volume disease, where high-volume disease is defined as the presence of visceral metastases or ≥4 bone lesions with ≥1 beyond the vertebral bodies and pelvis, and BRCA vs non-BRCA mutational status. Key eligibility criteria include age ≥18 years; histological diagnosis of prostate cancer; alterations in at least one of 12 DDR/HRR genes known to sensitize patients to PARPi ( ATM, ATR, BRCA1, BRCA2, CDK12, CHEK2, FANCA, MLH1, MRE11A, NBN, PALB2, RAD51C); and metastatic disease (no brain metastases). Primary endpoint is radiographic progression-free survival (defined as time to radiographic progression in soft tissue per Response Evaluation Criteria in Solid Tumors version 1.1 or in bone per Prostate Cancer Working Group 3 criteria by investigator, or death). Secondary endpoints include overall survival, safety, and patient-reported outcomes. Patient recruitment is planned/ongoing at approximately 285 sites in 27 countries, including the US and Europe, South America, South Africa, and Asia-Pacific. As of 30 September 2022, a total of 319 patients have been randomized in the study. This study was approved by an Institutional Review Board. Clinical trial information: NCT04821622 .

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 score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0100.002

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 head0.148
GPT teacher head0.490
Teacher spread0.342 · 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

Citations5
Published2023
Admission routes1
Has abstractyes

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