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Enregistrement W4220729116 · doi:10.1158/1538-7445.sabcs21-ot2-11-05

Abstract OT2-11-05: SERENA-6: A Phase III study to assess the efficacy and safety of AZD9833 (camizestrant) compared with aromatase inhibitors when given in combination with palbociclib or abemaciclib in patients with HR+/HER2- metastatic breast cancer with detectable <i>ESR1</i>m who have not experienced disease progression on first-line therapy

2022· article· en· W4220729116 sur OpenAlexaff
François‐Clément Bidard, Kevin Kalinsky, Massimo Cristofanilli, Giampaolo Bianchini, Stephen Chia, Wolfgang Janni, X. Cynthia, Erica L. Mayer, Yeon Hee Park, Stephen B. Fox, Xiaochun Liu, Andrew Walding, Cynthia Huang Bartlett, Nick C Turner

Notice bibliographique

RevueCancer Research · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueAdvanced Breast Cancer Therapies
Établissements canadiensBC Cancer Agency
Organismes subventionnairesnon disponible
Mots-clésPalbociclibMedicineInternal medicineMetastatic breast cancerCancerOncologyBreast cancerAromatase inhibitorAromataseEstrogen receptorFulvestrantCancer research

Résumé

récupéré en direct d'OpenAlex

Abstract Background: More than two thirds of patients with metastatic breast cancer (mBC) have hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2−) tumors. Current guidelines recommend combining endocrine therapy (ET), such as an aromatase inhibitor (AI), with an inhibitor of cyclin-dependent kinases 4 and 6 (CDK4/6i) as first-line (1L) treatment (Cardoso et al. Ann Oncol 2020). However, drug resistance eventually develops, leading to disease progression. Mutations in the estrogen receptor (ER) alpha gene (ESR1m) result in constitutively active, estrogen-independent ER signaling which can reduce AI efficiency (Reinert et al. Front Oncol 2017). Clinically, ESR1m are associated with acquired resistance to AI as well as more aggressive disease features, including development of visceral metastasis (Gerratana et al. Eur J Cancer 2021). At the initial diagnosis of mBC, the frequency of ESR1m is low (approximately 3%) (Bidard et al. Ann Oncol 2019); however, this increases to 17−35% of patients when disease progresses on an AI + CDK4/6i (Bidard et al. Ann Oncol 2019; Goetz et al. J Clin Oncol 2020). Patients with ESR1m tumors have poor outcomes with subsequent lines of therapy. New approaches are needed to maximize time on 1L treatment with ET + CDK4/6i and prevent further clinical and radiological disease progression. AZD9833 (camizestrant) is a highly potent, next-generation oral selective ER degrader (ngSERD) and pure ER antagonist that has demonstrated antitumor activity in a wide range of ER+ breast cancer cell lines and patient-derived xenograft models, including those with wild type ESR1 (ESR1wt) and the most prevalent ESR1m, D538G and Y537S (Scott et al. AACR 2020; Lawsone et al. AACR 2020). The Phase I SERENA-1 study demonstrated that AZD9833 shows encouraging clinical activity as monotherapy or in combination with a CDK4/6i in heavily pre-treated patients with ER+/HER2− advanced breast cancer whose tumors are ESR1wt or ESR1m (Baird et al. SABCS 2020). SERENA-6 will assess the efficacy of switching patients from AI to AZD9833, while continuing CDK4/6i treatment, once ESR1m are detected but before overt disease progression. Study description: SERENA-6 is an ongoing, randomized, multicenter, double-blind, Phase III trial. Patients with HR+/HER2− mBC who have received at least 6 months of 1L AI (letrozole or anastrozole) + CDK4/6i (palbociclib or abemaciclib) and do not have clinical or radiological disease progression will be enrolled into Step 1, the ESR1m detection phase. During this phase, patients will be monitored regularly for the presence of ESR1m via central circulating tumor DNA analysis. Patients with detectable ESR1m and no overt disease progression (by RECIST v1.1 criteria) will be enrolled into Step 2 double-blind 1:1 randomization to either continue AI plus CDK4/6i, plus a placebo for AZD9833, or switch to AZD9833 (75 mg oral once daily), plus the same CDK4/6i plus a placebo for the AI. The primary endpoint will be investigator-assessed progression-free survival (PFS) per RECIST v1.1 criteria. A key secondary endpoint will be time to second progression or death on a subsequent therapy. Other secondary endpoints will include overall survival, chemotherapy-free survival, objective response rate, clinical benefit rate, patient-reported outcomes, and safety. Enrollment began in June 2021 and is expected at approximately 200 sites across 19 countries. Acknowledgments: We thank Julia Mawer, PhD, of Oxford PharmaGenesis, UK, for medical writing assistance, which was funded by AstraZeneca. Funding: The SERENA-6 trial is funded and overseen by AstraZeneca. Citation Format: François-Clément Bidard, Kevin Kalinsky, Massimo Cristofanilli, Giampaolo Bianchini, Stephen KL Chia, Wolfgang Janni, Cynthia X Ma, Erica L Mayer, Yeon Hee Park, Steven Fox, Xiaochun Liu, Andrew Walding, Cynthia Huang Bartlett, Nick C Turner. SERENA-6: A Phase III study to assess the efficacy and safety of AZD9833 (camizestrant) compared with aromatase inhibitors when given in combination with palbociclib or abemaciclib in patients with HR+/HER2- metastatic breast cancer with detectable ESR1m who have not experienced disease progression on first-line therapy [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr OT2-11-05.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,417
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,061
Tête enseignante GPT0,402
Écart entre enseignants0,340 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations13
Publié2022
Routes d'admission1
Résumé présentoui

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