Abstract B086: Targeting ATR to overcome Carboplatin resistance in triple-negative breast cancer patient-derived models
Notice bibliographique
Résumé
Abstract Background: Triple negative breast cancer subtype is associated with poor prognosis and is mostly treated with chemotherapy, including the DNA crosslinking agent Carboplatin. Carboplatin treatment leads to DNA damage and a cell cycle inhibition allowing DNA damage repair. However, many patients are resistant or develop resistance to Carboplatin. The identification of novel treatments against chemoresistant TNBC is a major unmet clinical need. Method: TNBC patient-derived cell lines (PDCs) from patient-derived xenografts (PDXs) generated from chemotherapy resistant tumors were used for shRNA high throughput screens to identify genetic vulnerabilities that could resensitize these cells to Carboplatin. Validation of this target was performed genetically by shRNA silencing and pharmacologically with commercially available target inhibitors both in vitro and in vivo, using Alamar Blue viability assays and calculating synergy using the Chou Talalay method. DNA damage was assessed using yH2AX expression, and apoptosis using c-PARP and Annexin V, by confocal microscopy, flow cytometry and/or western blotting. Results: We identified ataxia telangiectasia and Rad3-related protein (ATR) as a target in one of the cell lines screened and validated it with an ATR shRNA. We tested the combination of the ATR inhibitor (ATRi), Elimusertib, with Carboplatin and found the combination to be synergistic (Average CI=0.30). DNA damage was markedly increased with combination treatment and a pan-nuclear yH2AX staining together with increased pHH3 expression were observed, suggestive of mitotic catastrophe. Cells treated with Carboplatin accumulated in S phase and a shift toward G2/M when Elimusertib was added. Apoptosis was significantly increased with combination treatment. PKMYT1 and WEE1 are two kinases regulating cell cycle entry by inhibiting CDK1, which controls entry into mitosis. Carboplatin treatment resulted in an increase in PKMYT1 expression. PKMYT1 inhibition with RP6306 re-sensitized the cells to Carboplatin more than WEE1 inhibition with Adavosertib, and this synergy was further increased with low doses of Elimusertib. Gene silencing of WEE1 and PKMYT1 both re-sensitized the cells to Carboplatin, but only WEE1 silencing alone significantly prevent proliferation, suggesting the requirement of PKMYT1 activity for resistance but not for cell proliferation without Carboplatin. In vivo validation using the PDXs from which the cell lines have been derived, demonstrated a significant delayed in tumor growth and prolonged survival when combining Carboplatin with ATRi compared to Carboplatin alone in two models. Conclusion: ATR inhibition resensitizes drug resistant TNBC cells to Carboplatin both in vitro and in vivo. The combination of Carboplatin with ATRi led to DNA damage and mitotic catastrophe. PKMYT1 plays a role in Carboplatin-resistant TNBC, collaborating with ATR in managing the cell cycle response to DNA damage, and PKMYT1 inhibition also re-sensitizes cells to Carboplatin, an effect increased with the triple combination of adding ATR inhibition. Citation Format: Juliet Guay, Catherine Chabot, Cédric Darini, Marguerite Buchanan, Adriana Aguilar-Mahecha, Tim Kong, Connie Yang, Mark Basik, Sidong Huang. Targeting ATR to overcome Carboplatin resistance in triple-negative breast cancer patient-derived models [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2023 Oct 11-15; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2023;22(12 Suppl):Abstract nr B086.
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 | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».