Abstract P3-05-04: AKT antagonist AZD5363 targets estrogen receptor (ER) function in endocrine resistant breast cancer (BC) and synergises with fulvestrant in vivo
Notice bibliographique
Résumé
Abstract AIM: To evaluate the efficacy and functional consquences of combining AZD5363 with endocrine therapy in pre-clinical models of endocrine-sensitive and resistant ER+ BC. BACKGROUND: The PI3K/AKT/mTOR signalling pathway plays an important role in BC. Its close interaction with ER signalling becomes more complex and inter-dependent with acquisition of endocrine resistance. Targeting the mTOR pathway in combination with endocrine therapy has shown clinical utility. However, a negative feedback loop exists downstream of the PI3K/AKT/mTOR pathway with mTOR inhibition leading to increased activation of IGFR1-dependent AKT activity potentially negating long-term benefit. Direct blockade of AKT in combination with endocrine therapy, may provide a better rationale for treatment of endocrine-resistant BC, impacting on both cell survival/apoptosis and ER ligand-independent signaling. In this investigation, we assessed the efficacy of AZD5363, a pan-AKT inhibitor with endocrine therapies in pre-clinical models of endocrine sensitive and resistant ER+ BC and its impact on molecular and cellular response. METHODS: Inhibition of AKT using AZD5363 was examined in 5 ER+ BC lines before and after adaptation to long-term estrogen deprivation (LTED) or tamoxifen (TAMR). The effects of AZD5363 on cell proliferation were determined alone and in combination with endocrine treatment and feedback upregulation and activation of receptor tyrosine kinases (RTKs) was examined by western blotting. ER-transactivation was measured with an estrogen-response element (ERE)-linked luciferase reporter construct and confirmed using chromatin-immunoprecipitation. Global gene expression analysis was used to identify pathways associated with response. Xenografts were treated with AZD5363 ± fulvestrant to determine in vivo effects. RESULTS: AZD5363 caused a dose-dependent decrease in proliferation in all cell lines tested (GI50<500nM) with the exception of HCC1428-wild-type and LTED. Of note both T47D-LTED and ZR75-LTED, which lose expression of ER were exquisitely sensitive (GI50∼100nM). AZD5363 re-sensitised the TAMR cell line to tamoxifen and acted synergistically with fulvestrant in MCF7-Wt and MCF7-LTED (CI<1). AZD5363 decreased phosphorylation of AKT/mTOR substrates PRAS40, p70S6 and S6 in all cell lines tested and caused a significant decrease in phosphorylation of ERser167 with an associated 50% reduction in ERα-mediated transcription and decrease in recruitment of ER and CBP to ERE on the TFF1 promoter. Furthermore, AZD5363 reduced Rb and cyclinD1. Inhibition of AKT with AZD5363 resulted in upregulation and activation of RTKs, including IGF-IR, EGFR, ERBB2 and ERBB3, which was cell line specific. Global gene expression and pathway analysis of MCF7 and MCF7-LTED treated with AZD5363 highlighted the relevance of ERBB2-ERBB3, ERK5 and IGF1 signalling as potential feedback loops. Combined treatment with AZD5363 and fulvestrant showed strong synergy in an MCF7 xenograft. CONCLUSION: These data suggest that AZD5363 plus fulvestrant may be effective in BC that is sensitive or resistant to E-deprivation or tamoxifen and that activated AKT is a determinant of response. These data strongly support the need for clinical evaluation. Citation Format: Lesley-Ann Martin, Stephanie K Guest, Sunil Pancholi, Ricardo Ribas, Qiong Gao, Nikiana Simigdala, Aradhana Rani, Barry Davies, Stephen Johnston, Mitch Dowsett. AKT antagonist AZD5363 targets estrogen receptor (ER) function in endocrine resistant breast cancer (BC) and synergises with fulvestrant in vivo [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P3-05-04.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».