Abstract PO2-04-10: Effect of Alpelisib Dose Modification for AE Management on Progression-Free Survival and Treatment Duration in SOLAR-1 and BYLieve Clinical Trials
Notice bibliographique
Résumé
Abstract Background: Alpelisib (ALP) is an α-selective phosphatidylinositol 3-kinase (PI3K) inhibitor and degrader approved with fulvestrant (FUL) for patients (pts) with phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA)-mutated, hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2−) advanced breast cancer (ABC) following progression on/after endocrine therapy-based treatment (tx). Toxicity limited ALP exposure in some pts in the SOLAR-1 and BYLieve studies. On-target effects of PI3K inhibitors, including hyperglycemia, rash, and diarrhea, are among the most common adverse events (AEs) associated with ALP. During SOLAR-1, median onset times were 15 and 13 days for grade ≥3 hyperglycemia and rash and 46 days for grade 2/3 diarrhea. ALP dose modification can help manage AEs. We report efficacy of ALP + FUL as second-line (2L) tx in pts who underwent ALP dose reduction (DR). Methods: Pts with PIK3CA mutations from SOLAR-1 and BYLieve, treated with ALP + FUL in 2L, were included. Landmark (LM) analyses were performed at 1, 2, 3, 4, 5, and 6 mo after tx initiation to evaluate the association between DR status (yes, no) with progression-free survival (PFS) and duration of tx (DoT), respectively. Pts with PFS or exposure time less than each LM time point were excluded from each LM analysis; pts were then grouped by DR (yes, no) before each LM time point. Median PFS and DoT were obtained using a modified Kaplan-Meier method. Alternatively, Cox regression analysis was used to assess the effect of DR on PFS and DoT, where 2 time-dependent variables were included separately in the model as a covariate: 1) DR status, and 2) DR groups (300 to 250 mg [1 DR] vs no DR, 300 to 250 to 200 mg [2 DR] vs no DR). Association between AEs and DR was evaluated descriptively. A matched analysis of AEs will be presented. Results: In all, the analysis included 212 pts in 2L: 77 from SOLAR-1, and 95 and 40 from BYLieve Cohorts A and C, respectively. Of these pts, 92 (43.4%) had no DR and 120 (56.6%) had DRs: 70 (58.3%) had 1 DR, 43 (35.8%) had 2, and 7 (5.8%) had other types of DR. 25 of 92 pts (27.2%) with no DR and 40 of 120 pts (33.3%) with DR had ≥12-mo exposure to ALP. Hazard ratios (HRs) for PFS and DoT in DR status for the LM analysis are shown (Table). HRs (95% CI) for PFS from the time-dependent covariate analyses were 1.28 (0.94-1.74) with DR status as the covariate, and 1.24 (0.88-1.76) and 1.21 (0.79-1.84) with DR group (1 DR vs no DR, 2 DR vs no DR) as the covariate, respectively; for DoT, these were 1.34 (1.00-1.79) for DR status, and 1.30 (0.93-1.80) and 1.30 (0.87-1.93) for DR group, respectively. During the treatment period, the incidence rate for grade ≥3 AEs was the highest for pts with 2 DR and lowest for those with no DR. Similarly, incidence of AEs leading to DR or tx discontinuation was higher in pts with 2 DR than 1 DR. The post-DR incidence rate for grade ≥3 AE was similar for pts with 2 DR or 1 DR. A matched analysis will assess the relationship between DR group and AE. Conclusions: In this pooled analysis, regardless of if/when DR occurred, PFS was similar and DoT may be sustained with ALP + FUL. ALP DR can potentially reduce AEs, which may allow pts to remain on tx. Using DR as an AE management strategy may enable pts with PIK3CA-mutated, HR+, HER2− ABC to optimize tx duration and clinical benefit of ALP in the 2L. Landmark Analyses of PFS and Tx Duration by DR Group (Yes vs No; Pooled FAS) Citation Format: Hope Rugo, Alessandra Gennari, Stephen Chia, Dejan Juric, Neil Vasan, Sherko Küemmel, Patrick Neven, Florence Lerebours, Manuel Ruíz - Borrego, Pedram Razavi, Jyotika Singh, Yogesh Chattar, Murat Akdere, Eva Ciruelos. Effect of Alpelisib Dose Modification for AE Management on Progression-Free Survival and Treatment Duration in SOLAR-1 and BYLieve Clinical Trials [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-04-10.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».