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Impact of age on efficacy and safety of relugolix: A subgroup analysis from the randomized, phase 3 hero study versus leuprolide in men with advanced prostate cancer.

2021· article· en· W3171945717 on OpenAlexaff
Michael S. Cookson, Neal D. Shore, Daniel J. George, Hideyuki Akaza, Daniel R. Saltzstein, Ronald Tutrone, Alberto Bossi, Bruce Alan Brown, Bryan Selby, Sophia Lu, Jacqueline M. Walling, Bertrand Tombal, Fred Saad

Bibliographic record

VenueJournal of Clinical Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineProstate cancerTestosterone (patch)UrologyRandomizationRandomized controlled trialSubgroup analysisInternal medicineAdverse effectClinical endpointProstateCancerGynecologyConfidence interval

Abstract

fetched live from OpenAlex

5075 Background: In the phase 3 HERO study, the oral GnRH receptor antagonist relugolix demonstrated sustained testosterone suppression superior to that of leuprolide and a comparative 54% decrease in risk of major adverse cardiovascular events. Relugolix was recently approved for use in the US for the treatment of adult patients with advanced prostate cancer. Here, we further characterize the impact of age on the use of relugolix in advanced prostate cancer from the HERO study. Methods: The HERO study was a randomized, open-label, parallel group study evaluating relugolix in men with advanced prostate cancer. Overall, 934 men with advanced prostate cancer underwent 2:1 randomization to receive relugolix 120 mg orally once daily after a single loading dose of 360 mg or leuprolide 3-month injections for 48 weeks. Subgroups analyzed by age were <65 years or ≥65 years and ≤75 years or >75 years. Assessments analyzed included sustained testosterone suppression to castrate levels (<50 ng/dL) from day 29 through 48 weeks, early and profound (<20 ng/dL) castration rates, prostate-specific antigen (PSA) levels, and safety. Testosterone recovery (≥280 ng/dL) was evaluated in 184 patients who enrolled in the testosterone recovery substudy. Results: Of the 930 patients (relugolix:622;leuprolide:308) that received study drug in the HERO study, 173 (18.6%) were <65 years and 757 (81.4%) were ≥65 years of age, while 664 (71.4%) were ≤75 years and 266 (28.6%) were >75 years of age. Across all age subgroups, point estimates for sustained castration rates through 48 weeks for relugolix patients were consistent with the overall estimate of relugolix sustained castration rate observed in the overall population. Differences in sustained castrations rates at week 48 between relugolix and leuprolide groups were similar regardless of the age subgroup (table). The likelihood of testosterone recovery at 90 days after completion of treatment was higher in the relugolix group versus the leuprolide group in all age subgroups: <65 (79.1% vs 16.7%), ≥65 (48.6% vs 0%), ≤75 (60.0% vs 4.0%),and >75 years (40.7% vs 0%). No clinically relevant differences were noted in the incidence or types of adverse events within treatment groups in all the age subgroups analyzed. Conclusions: In this subgroup analysis of the HERO study, relugolix was effective regardless of age, and the benefit/risk profile remained favorable for relugolix compared with leuprolide, consistent with the overall population. Testosterone recovery was higher in the relugolix group than the leuprolide group for all age subgroups analyzed, with higher rates of recovery in younger versus older men. Clinical trial information: NCT03085095. [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)0.004
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 score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.093
GPT teacher head0.523
Teacher spread0.429 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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