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TALAPRO-1: Phase II study of talazoparib (TALA) in patients (pts) with DNA damage repair alterations (DDRm) and metastatic castration-resistant prostate cancer (mCRPC) – updated interim analysis (IA).

2020· article· en· W3029686450 on OpenAlexaff
Johann S. de Bono, Niven Mehra, Celestia S. Higano, Fred Saad, Consuelo Buttigliero, Inge M. van Oort, Marielena Mata, Hsiang-Chun Chen, Cynthia G. Healy, M. Luisa Paccagnella, Akos Czibere, Karim Fizazi

Bibliographic record

VenueJournal of Clinical Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersPfizer
KeywordsMedicineInternal medicineOncologyProstate cancerDocetaxelClinical endpointTaxaneEnzalutamidePhases of clinical researchUrologyCancerSurgeryChemotherapyClinical trialBreast cancerAndrogen receptor

Abstract

fetched live from OpenAlex

5566 Background: PARP inhibitors (PARPi) show antitumor activity in mCRPC/DDRm pts treated with novel hormonal therapy (NHT). TALAPRO-1 is an open-label study evaluating TALA (potent PARP inhibitor/trapper) in men with mCRPC/DDRm. We report a planned IA (Dec 2019). Methods: TALAPRO-1 (NCT03148795) is enrolling pts (N ≈ 100) with measurable soft tissue disease, progressive mCRPC, and DDRm likely to sensitize to PARPi ( ATM, ATR, BRCA1/2, CHEK2, FANCA, MLH1, MRE11A, NBN, PALB2, RAD51C), who received 1–2 chemotherapy regimens (≥1 taxane-based) for metastatic disease and progressed on ≥1 NHT (enzalutamide/abiraterone acetate) given for mCRPC. DDRm are defined as known/likely pathogenic variants or homozygous deletions. Pts receive oral TALA 1 mg/day (moderate renal impairment 0.75 mg/day) until radiographic progression, unacceptable toxicity, consent withdrawal or death. Primary endpoint is objective response rate (ORR). Secondary endpoints: time to OR; response duration; PSA decrease ≥50%; circulating tumor cell (CTC) count conversion (to CTC = 0 and <5 per 7.5 mL blood); time to PSA progression; radiographic PFS (rPFS); overall survival; safety. A planned efficacy/safety IA was done when 60 pts with DDRm and measurable disease completed ≥6 months of TALA/no longer followed (DDR population [DDRp]). Radiographic responses are based on investigator assessments. Results: 113 pts received TALA (cutoff Dec 12, 2019); 75 pts were DDRp, had measurable disease, received ≥16 wk treatment, and were evaluable for ORR (54.7% BRCA1/2, 4.0% PALB2, 22.7% ATM; 18.7% other DDRm).All DDRp pts had prior docetaxel; 45.3% cabazitaxel. Confirmed ORR, rPFS, and composite response (investigator-assessed) in pts who received TALA for ≥16 weeks are in the table. Most common treatment-emergent adverse events: anemia (42.5%); nausea (32.7%). Conclusions: TALA monotherapy has encouraging antitumor activity in docetaxel-pretreated mCRPC pts with BRCA1/2 alterations and was generally well tolerated. Clinical trial information: NCT03148795 . [Table: see text]

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 score0.007
Threshold uncertainty score0.022

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 integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.133
GPT teacher head0.494
Teacher spread0.362 · 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

Citations18
Published2020
Admission routes1
Has abstractyes

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