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Record W4283258055 · doi:10.1016/j.eururo.2022.05.030

Patient-reported Outcomes in Men with Metastatic Castration-resistant Prostate Cancer Harboring DNA Damage Response Alterations Treated with Talazoparib: Results from TALAPRO-1

2022· article· en· W4283258055 on OpenAlexaff
Fred Saad, Johann S. de Bono, Philippe Barthélémy, Tanya B. Dorff, Niven Mehra, Giorgio V. Scagliotti, Adam Stirling, Jean‐Pascal Machiels, Vincent Renard, Marco Maruzzo, Celestia S. Higano, Howard Gurney, Cynthia G. Healy, Helen Bhattacharyya, Bhakti Arondekar, Alexander Niyazov, Karim Fizazi

Bibliographic record

VenueEuropean Urology · 2022
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversity of British ColumbiaCentre Hospitalier de l’Université de Montréal
FundersMedical Research CouncilNational Institute for Health and Care ResearchPfizer
KeywordsMedicineProstate cancerInternal medicineQuality of life (healthcare)PopulationOncologyTaxaneVisual analogue scaleCancerHormonal therapyBreast cancerSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Talazoparib has shown antitumor activity with a manageable safety profile in men with metastatic castration-resistant prostate cancer (mCRPC) and DNA damage response (DDR)/homologous recombination repair (HRR) alterations. OBJECTIVE: To evaluate patient-reported health-related quality of life (HRQoL) and pain in patients who received talazoparib in the TALAPRO-1 study, with a special interest in patients harboring breast cancer susceptibility gene 1 or 2 (BRCA1/2) mutations. DESIGN, SETTING, AND PARTICIPANTS: TALAPRO-1 is a single-arm, phase 2 study in men with mCRPC DDR alterations either directly or indirectly involved in HRR, who previously received one to two taxane-based chemotherapy regimens for advanced prostate cancer and whose mCRPC progressed on one or more novel hormonal agents. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Men completed the European Quality-of-life Five-dimension Five-level scale (EQ-5D-5L), EQ-5D visual analog scale (VAS), and Brief Pain Inventory-Short Form at predefined time points during the study. The patient-reported outcome (PRO) population included men who completed a baseline and one or more postbaseline assessments before study end. Longitudinal mixed-effect models assuming an unstructured covariance matrix were used to estimate the mean (95% confidence interval [CI]) change from baseline for pain and general health status measurements among all patients and patients with BRCA1/2 mutations. RESULTS AND LIMITATIONS: In the 97 men in the PRO population treated with talazoparib (BRCA1/2, n = 56), the mean (95% CI) EQ-5D-5L Index improved (all patients, 0.05 [0.01, 0.08]; BRCA1/2 subset, 0.07 [0.03, 0.10]), as did the EQ-5D VAS scores (all patients, 5.42 [2.65, 8.18]; BRCA1/2 subset, 4.74 [1.07, 8.41]). Improvements in the estimated overall change from baseline (95% CI) in the mean worst pain were observed in all patients (-1.08 [-1.52, -0.65]) and the BRCA1/2 subset (-1.15 [-1.67, -0.62]). The probability of not having had experienced deterioration of worst pain by month 12 was 84% for all patients and 83% for the BRCA1/2 subset. CONCLUSIONS: In heavily pretreated men with mCRPC and DDR/HRR alterations, talazoparib was associated with improved HRQoL in all patients and the BRCA1/2 subset. In both patient groups, worst pain improved from baseline and the probability of not experiencing a deterioration in worst pain with talazoparib was high. PATIENT SUMMARY: We show that talazoparib was associated at least with no change or improvements in health-related quality of life (HRQoL) and pain burden in men with metastatic castration-resistant prostate cancer and DNA damage response/homologous recombination repair gene alterations in the TALAPRO-1 study. These findings in patient-reported HRQoL and pain complement the antitumor activity and tolerability profile of talazoparib.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.541
Threshold uncertainty score0.741

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.026
GPT teacher head0.289
Teacher spread0.263 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations13
Published2022
Admission routes1
Has abstractyes

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