Abstract P072: Combining ATR inhibitors with carboplatin in chemoresistant TNBC conditionally reprogrammed cells and patient-derived xenografts
Notice bibliographique
Résumé
Abstract Background: Breast cancer is the second leading cause of cancer related death worldwide in women and triple negative breast cancer subtype is associated with a poor prognosis. TNBC patients are treated mostly with chemotherapy. In addition to the standard of care, the DNA crosslinking agent Carboplatin is often used in the treatment of both early and metastatic TNBC. A fraction of patients presents a good response, but the majority are resistant or develop resistance to chemotherapy. Overcoming chemotherapy resistance in TNBC is a major clinical unmet need and the identification of novel treatments against chemoresistant TNBC is necessary. Method: We used conditional reprogramming to establish 5 patient-derived TNBC cell lines (CRCs) from patient-derived xenografts (PDXs) generated from chemotherapy resistant tumors. All cell lines were resistant to carboplatin, and we performed shRNA high throughput screens to identify genetic vulnerabilities that could resensitize these cells to Carboplatin. We identified ataxia telangiectasia and Rad3-related protein (ATR) as a target in one of the cell lines screened. Validation of this target was performed by targeted shRNA ATR knockdown and pharmacologically with commercially available ATR inhibitors both in vitro and in vivo. Results: We confirmed that ATR inhibition resensitizes TNBC CRC to Carboplatin with shRNA ATR. We used Ceralasertib and Elimusertib, 2 ATR inhibitors, to pharmacologically validate this hit. We tested the effect of the combination of each ATR inhibitors with carboplatin (IC25) using alamar blue assays and calculated the combination index with the Chou Talalay method in all 5 cell lines. We found the combination with Elimusertib to have a more potent synergy (Average CI=0.43) than the combination with Ceralasertib (Average CI=0.68). To further explore the mechanism of ATR inhibition in this combination we measured the key targets and observed a loss of ATR protein by western blot when the cells were exposed to the combination with Elimusertib-Carboplatin but not with Ceralasertib-Carboplatin. Pharmacological inhibition of ATR main effector Chk1 with Rabusertib or by knockdown did not recapitulate the synergy observed with Elimusertib-Carboplatin, suggesting the synergy observed is independent of Chk1 activity. Surprisingly, ATR inhibition or knockdown still modulated major cell cycle players. Finally, we performed in vivo validation using the PDX from which the cell line had been derived. Our results demonstrated that addition of low doses of Elimusertib to Carboplatin significantly delayed tumor growth compared to carboplatin treatment alone and prolonged survival in animal models. Conclusion: We highlighted the efficacy of ATR inhibition to resensitize drug resistant TNBC to Carboplatin as supported by our in vitro and in vivo results. Our data also sheds light on a potentially novel mechanism of action of the Elimusertib drug involving ATR loss of expression. Our findings imply that all ATR inhibitors are not equal, and they might be associated with different mechanisms of action. Citation Format: Juliet Guay. Combining ATR inhibitors with carboplatin in chemoresistant TNBC conditionally reprogrammed cells and patient-derived xenografts [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2021 Oct 7-10. Philadelphia (PA): AACR; Mol Cancer Ther 2021;20(12 Suppl):Abstract nr P072.
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) | 0,002 | 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 ».