Abstract 3099: Biological evaluation of a novel AKR1C3 inhibitor in patient-derived prostate cancer cell line and xenograft models
Notice bibliographique
Résumé
Abstract INTRODUCTION AND OBJECTIVES: Prostate cancer is a highly heterogeneous cancer type with distinct genomic and phenotypic characteristics that drive tumorigenesis and the differential response to drug therapies. A limit number of prostate cancer cell lines and patient-derived xenograft (PDX) models hinders research to improve disease outcome. Some currently available PDX models were derived from the primary tumor samples are insufficient to recapitulate the clinical response at more advanced stages. In this study, we developed patient-derived models from patients with advanced disease and evaluated a novel AKR1C3 inhibitor in these models. METHODS: Samples received from our Pathology Biorepository Shared Resource were divided into four groups and subjected to pathological staining, RNA extraction, xenografting in NSG mice via renal capsule and subcutaneous implantation in SCID mice and conditional reprogramed cultures (CRCs) or organoid culturing. The AKR1C3 inhibitor PB was modified from celecoxib. Androgen receptor (AR), AR-V7 and AKR1C3 expression were determined by western blot. The effects of the AKR1C3 inhibitor on enzalutamide sensitivity were characterized by growth assay and colony formation assay. RESULTS: Eight PDX models have been developed from prostate cancer patients with high Gleason score and/or at the castration-resistant stages. Among the PDX models, one spontaneous indefinite cell line PS1172 was established. Early passage CRCs showed the epithelial morphology with AR positive expression. Through serially passaging PS1172 PDX with castration in SCID mice, the castration resistant cell line 1172CR was re-cultured from castration-resistant PS1172 PDX tumors. 1172CR cells were resistant to enzalutamide treatment and expressed high level of AKR1C3 and AR-V7. A novel AKR1C3 inhibitor (PB) which displayed superior potential to inhibit AKR1C3 activity and suppress enzalutamide resistant prostate cancer cell growth was tested in these models. At the same dose, PB significantly suppressed 1172CR cell growth and colony formation compared to indomethacin and enzalutamide. PB also significantly suppressed AR/AR-V7 protein expression compared to indomethacin in 1172CR cells. CONCLUSION: PS1172 and castration-resistant 1172CR cells are novel models with significant characteristics such as AR-V7 and AKR1C3. These novel prostate cancer models are ideal for small molecule testing and resistant mechanism investigating. Citation Format: Joy C. Yang, Shu Ning, Hans Adomat, Martin Gleave, Allen Gao, Christopher P. Evans, Chengfei Liu. Biological evaluation of a novel AKR1C3 inhibitor in patient-derived prostate cancer cell line and xenograft models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3099.
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) | 0,001 | 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) | 0,003 | 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 ».