MétaCan
Menu
← Retour à la cohorte
Enregistrement W3005672197 · doi:10.1158/1538-7445.sabcs19-p3-11-09

Abstract P3-11-09: <i>ARISTACAT - Ar</i>omatase <i>i</i>nhibition plus minus <i>s</i>araca<i>t</i>inib as <i>a</i>dvanced breast <i>ca</i>ncer <i>t</i>herapy: A randomised phase II study of aromatase inhibition plus/minus the Src-inhibitor AZD0530 in post-menopausal women with advanced breast cancer

2020· article· en· W3005672197 sur OpenAlexaff
David Cameron, Stefan Symeonides, Murray Brunt, Peter Schmid, Simon Waters, Christopher Twelves, Peter Barrett‐Lee, John M.S. Bartlett, Tammy Piper, Karen McAdam, Eve Macdonald Chisholm, Michelle Welsh, Robert Hill

Notice bibliographique

RevueCancer Research · 2020
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueEstrogen and related hormone effects
Établissements canadiensOccupational Cancer Research Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineInternal medicinePlaceboBreast cancerOncologyCancerPathology

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Src, the first proto-oncogene to be described, is a non-receptor tyrosine kinase interacting with multiple oncogenic pathways, including cell proliferation, survival, angiogenesis and osteoclast activity. Src activation occurs in up to 40% of ER+ breast cancers, is linked with poor prognosis, and pre-clinically has been strongly implicated in endocrine resistance. Saracatinib (AZD0530) is a potent, oral selective Src inhibitor that enhances the anti-proliferative effect of endocrine agents in pre-clinical breast cancer models, preventing the development of endocrine-resistance and restoring endocrine sensitivity. In a murine model of prostate bony metastases saracatinib inhibits osteoclast activity, reducing bone resorption and the development and progression of bone lesions. Clinically, saracatinib is generally well-tolerated with mainly gastro-intestinal adverse events (AEs), clinically meaningful durations of stable disease as monotherapy, and partial responses observed in combination with other therapies. Methods: Multi-centre, placebo-controlled, double-blind, randomised phase II trial. Post-menopausal women with advanced/metastatic breast cancer suitable for 1st or 2nd second line hormonal treatment, were randomised to receive an aromatase inhibitor (AI) plus saracatinib 175mg mg/day or placebo. Patients were stratified as either (i) “AI-sensitive/naïve”, who received anastrazole 1mg daily ± saracatinib, or (ii) “prior-AI”, if they had progressed on a non-steroidal AI but were considered likely to retain some endocrine sensitivity, who received exemestane 25mg daily ± saracatinib. Other stratification factors were bone metastases, bisphosphonate use, performance status, and treatment centre. Treatment was until progression, intolerable toxicity or at the patient’s request. The primary endpoint was PFS; secondary endpoints were toxicity, ORR & OS; exploratory endpoints explored molecular correlates in on-treatment samples (including optional biopsies). Results: 140 patients were enrolled from 22 UK sites between August 2012 and April 2015 of whom 69 were in the “AI-sensitive/naïve” group and 71 in the “prior-AI” group; 134 patients were eligible for efficacy evaluation and 136 for safety. Interim safety data analyses by an IDMC identified no new safety signals. Treatment emergent AEs were generally low grade, the most frequent being fatigue (70%) and nausea (49%); AEs occurring significantly (p<0.05) more often with saracatinib were hypophosphataemia (40% vs 6%), rash (34% vs 12%), anorexia (43% vs 19%), vomiting (33% vs 15%) and diarrhoea (31% vs 16%). More patients receiving saracatinib had a dose reduction or stopped treatment due to toxicity (16% vs 10% and 5% vs 3%, respectively; n.s.). There was no indication of greater efficacy from the addition of saracatinib with respect to PFS (3.7 v 5.6 months; n.s.) or OS (24 vs 23 months; n.s.). ORR appeared lower with saracatinib (11% vs 31%) even when excluding non-evaluable patients. Effects were consistent in the “AI-sensitive/naïve” and “prior-AI” groups. Patients receiving saracatinib were no less likely to progress with bone metastases, while bisphosphonate use was associated with an increased PFS and OS across the trial population. Translational work underway includes assessing Src pathway suppression. Conclusions: Saractinib did not improve outcomes in post-menopausal women with advanced breast cancer treated with exemestane with numerically inferior p response rate and PFS, and no apparent beneficial effect on bone metastases. These data do not support further evaluation of saracatinib in combination with AIs. ARISTACAT - Abstract - San Antonio 2019 Citation Format: David Cameron, Stefan Symeonides, Murray Brunt, Peter Schmid, Simon Waters, Christopher Twelves, Peter Barrett-Lee, John Bartlett, Tammy Piper, Karen McAdam, Eve Macdonald Chisholm, Michelle Welsh, Robert Hill. ARISTACAT - Aromatase inhibition plus minus saracatinib as advanced breast cancer therapy: A randomised phase II study of aromatase inhibition plus/minus the Src-inhibitor AZD0530 in post-menopausal women with advanced breast cancer [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P3-11-09.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: Essai randomisé
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,018
Score d'incertitude au seuil0,061

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0020,004
Charge utile insuffisante (le modèle a refusé de juger)0,0180,003

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 Opus0,014
Tête enseignante GPT0,317
Écart entre enseignants0,303 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeEssai randomisé
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

Citations2
Publié2020
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueCancer Research→Même sujetEstrogen and related hormone effects→Travaux en français237 207→