Talapro-3: A phase 3, double-blind, randomized study of enzalutamide (ENZA) plus talazoparib (TALA) versus placebo plus enza in patients with DDR gene mutated metastatic castration-sensitive prostate cancer (mCSPC).
Bibliographic record
Abstract
TPS221 Background: TALA is a poly(ADP-ribose) polymerase inhibitor (PARPi) approved as monotherapy for germline BRCA1/2-mutated HER 2-negative advanced breast cancer. PARPi have demonstrated substantial clinical efficacy in metastatic castration-resistant prostate cancers (mCRPC) with alterations in DNA damage response (DDR) genes involved directly or indirectly in homologous recombination repair (HRR). Phase 3 study findings (de Bono et al. N Engl J Med. 2020;382:2091-2102) resulted in the approval of olaparib for mCRPC. ENZA is an androgen receptor (AR) inhibitor and established therapy for mCSPC. Since PARP activity has been shown to support AR function, PARP inhibition is expected to increase sensitivity to AR-directed therapies. In addition, AR blockade downregulates HRR gene regulation, which has been hypothesized to induce a “ BRCAness ” phenotype . A phase 2 study of TALA monotherapy (TALAPRO-1) demonstrated robust antitumor activity in men with heavily pretreated, HRR-mutated mCRPC . The Phase 3, double-blind, randomized trial TALAPRO-3 (NCT04821622) herein presented will compare the combination of TALA plus ENZA versus placebo plus ENZA in men with mCSPC with DDR/HRR alterations. Methods: Approximately 550 patients with mCSPC harboring DDR/HRR alterations will be randomized to TALA (0.5 mg once daily) plus ENZA (160 mg once daily) or placebo (once daily) plus ENZA (160 mg once daily). Key eligibility criteria include age ≥18 years; histological diagnosis of prostate cancer; alterations in 12 DDR/HRR genes known to sensitize to PARPi ( ATM, ATR, BRCA1, BRCA2, CDK12, CHEK2, FANCA, MLH1, MRE11A, NBN, PALB2, RAD51C); and metastatic disease (no brain metastases). Primary endpoint is rPFS (time to radiographic progression in soft tissue per RECIST 1.1 or in bone per PCWG3 criteria by investigator, or death). Secondary endpoints include overall survival, safety, and patient-reported outcomes. Patient recruitment is planned at approximately 285 sites in 27 countries, including the US and Europe, South America, South Africa, and Asia-Pacific. Clinical trial information: NCT04821622.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".