Impact of Concomitant Cardiovascular Therapies on Efficacy and Safety of Relugolix vs Leuprolide: Subgroup Analysis from HERO Study in Advanced Prostate Cancer
Bibliographic record
Abstract
INTRODUCTION: Cardiovascular (CV) events are the leading cause of death in prostate cancer. Men with prostate cancer are likely to have CV risk factors and use CV-related concomitant medications. In the phase 3 HERO study, a 54% lower incidence of major adverse cardiac events was reported in men treated with the oral gonadotropin-releasing hormone (GnRH) receptor antagonist, relugolix, vs leuprolide. Herein, we characterize the impact of concomitant CV therapies on efficacy and safety in the HERO study. METHODS: In HERO, 930 men with advanced prostate cancer (APC) were randomized 2:1 and treated with relugolix (120 mg orally once daily; after single 360 mg loading dose) or leuprolide (injections every 3 months) for 48 weeks. Subgroups analyzed included men who received antihypertensives, antithrombotics, or lipid-modifying therapies (LMAs), as well as the most common drug classes (> 10%) and single most common agent within each class. Assessments included sustained testosterone suppression to castrate levels (< 50 ng/dL) through 48 weeks and safety. RESULTS: Antihypertensives, antithrombotics, and LMAs were utilized by 52.7%, 39.1%, and 39.6% of men in HERO, respectively. In the main subgroups, point estimates for sustained castration rates were generally consistent with overall estimates of relugolix and leuprolide observed in the overall population. Sustained castration rates were also mostly consistent for men taking the most common drug classes and individual agents in each class (losartan [n = 103]: relugolix, 95.4% vs leuprolide, 80.6%; amlodipine [n = 229]: 97.2% vs 85.5%; metoprolol [n = 88]: 95.7% vs 86.9%; acetylsalicylic acid [n = 259]: 97.0% vs 92.1%; clopidogrel [n = 43]: 96.4% vs 86.7%; simvastatin [n = 78]: 98.0% vs 87.3%). Incidence and types of adverse events (AEs) among men who received these medications were mostly consistent with overall population results, with some increases in grade ≥ 3 and fatal AEs. CONCLUSION: Relugolix suppressed testosterone and was generally well tolerated when given with concomitant CV agents. TRIAL REGISTRATION: Clinical Trial ID NCT03085095. PRIOR PRESENTATION: Data presented at 15th Annual Genitourinary Cancers Symposium; February 17-19, 2022, San Francisco, CA, USA [Abstract 101, Poster board E11]. The published abstract from this presentation can be found at https://ascopubs.org/doi/10.1200/JCO.2022.40.6_suppl.101 .
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".