MP34-05 COMBINATION THERAPY FOR CASTRATION-RESISTANT PROSTATE CANCER USING ANTAGONISTS OF THE N-TERMINAL DOMAIN OF ANDROGEN RECEPTOR WITH IONIZING RADIATION
Notice bibliographique
Résumé
You have accessJournal of UrologyProstate Cancer: Advanced (including Drug Therapy) IV (MP34)1 Apr 2019MP34-05 COMBINATION THERAPY FOR CASTRATION-RESISTANT PROSTATE CANCER USING ANTAGONISTS OF THE N-TERMINAL DOMAIN OF ANDROGEN RECEPTOR WITH IONIZING RADIATION Yusuke Ito*, C. Adriana Banuelos, Yukiyoshi Hirayama, Kunzhong Jian, Raymond Andersen, and Marianne Sadar Yusuke Ito*Yusuke Ito* More articles by this author , C. Adriana BanuelosC. Adriana Banuelos More articles by this author , Yukiyoshi HirayamaYukiyoshi Hirayama More articles by this author , Kunzhong JianKunzhong Jian More articles by this author , Raymond AndersenRaymond Andersen More articles by this author , and Marianne SadarMarianne Sadar More articles by this author View All Author Informationhttps://doi.org/10.1097/01.JU.0000555948.83770.4eAboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVES: Emerging evidence supports that androgen receptor (AR) signaling regulates DNA repair in prostate cancer. Therefore, a combination approach using AR modulating drugs with radiation could be a promising option for the treatment of metastatic castration resistant prostate cancer (mCRPC). All currently approved AR modulating drugs, such as enzalutamide (ENZA) and abiraterone, either directly or indirectly target the AR C-terminus ligand-binding domain (LBD). Such drugs are often unsuccessful due to the emergence of AR splice variants (e.g., AR-V7) that are constitutively active and lack a LBD. EPI-002 is a first-in-class AR antagonist that binds to its N-terminus domain to inhibit the transcriptional activities of both full-length AR and AR splice variants. A next generation compound, EPI-7170 has been developed. Here we present data to support that a combination of EPI compounds and ionizing radiation maybe beneficial for the treatment of mCRPC. METHODS: Androgen-independent LNCaP95 cells that are resistant to ENZA and endogenously express both full-length AR and AR-V7 were used. The effect of EPI compounds on the expression of DNA repair genes was measured using TaqMan array and Western blot analysis. Monotherapies versus combination therapies using EPI-002, EPI-7170, or ENZA, with ionizing radiation were evaluated for effects on proliferation, colony formation, cell cycle and DNA damage using BrdU incorporation, FACS and Western blot and immune fluorescent staining. RESULTS: EPI-7170 was more potent than EPI-002. Both EPI-002 and EPI-7170 decreased expression of DNA repair genes contrary to ENZA. EPI-002 induced G1 cell cycle arrest whereas radiation induced G2/M cell cycle arrest. FACS analysis revealed a dose-dependent decrease of BrdU incorporation with increased accumulation of gammaH2AX with combination therapy. A synergistic inhibitory effect on proliferation of ENZA-resistant LNCaP95 cells was achieved with a combination of EPI compounds with ionizing radiation. CONCLUSIONS: Combination therapy with radiation and an antagonist to the AR NTD such as EPI-002 or EPI-7170 that inhibits the transcriptional activities of both AR-Vs and full-length AR, may provide a new therapeutic approach for mCRPC. Source of Funding: US National Cancer Institute (R01 CA105304) awarded to MDS Vancouver, Canada© 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 201Issue Supplement 4April 2019Page: e497-e497 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Yusuke Ito* More articles by this author C. Adriana Banuelos More articles by this author Yukiyoshi Hirayama More articles by this author Kunzhong Jian More articles by this author Raymond Andersen More articles by this author Marianne Sadar More articles by this author Expand All Advertisement PDF downloadLoading ...
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) | 0,000 | 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) | 0,020 | 0,002 |
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 ».