Abstract 3998: Metronomic gemcitabine plus neratinib effectively inhibits the growth of human Her-2 positive breast cancer cells intracranially implanted into immunodeficient mice
Notice bibliographique
Résumé
Abstract Metastatic breast cancer is a major cause of death for women in the US, and breast cancers that metastasize to the brain have a particularly poor prognosis. To treat brain metastases of Her-2 positive breast cancers a number of Her-2 targeting drugs are now clinically available, including lapatinib, neratinib and tucatinib, among others. However, in part as a consequence of poor penetration of many drugs into the brain, combinations of standard chemotherapy plus targeted agent have only modest impact on progression free survival for such patients. We have developed preclinical models of human Her-2 positive breast cancer brain metastases to help address these issues. We selected human MDA-MD-361 and BT474 breast cancer cells lines by in vivo passaging in SCID mice, followed by molecular tagging of the derived variants (MDA361R and BT474R respectively), and then the stereotactic implantation of such cells into the brain of female SCID mice. Using luciferase-tagged BT474R we implanted 75,000 cells into the brains of the mice, and thereafter confirmed by luminescence the growth of the cells, which allowed for randomization of the mice to receive control saline (n=7), metronomic gemcitabine (100mg/kg/3days; i.p.; n=8), neratinib (40mg/kg/3 days; p.o.; n=7), or the combination of gemcitabine plus neratinib (n=8), which continued for 5 months largely in the absence of overt toxicity. The gemcitabine plus neratinib combination prolonged survival over the controls (150 days vs 65 days, p<0.5), although eventually all mice succumbed to disease. Tumors cells have been isolated from these therapy-administered mice for further characterization. Neratinib alone did not result in an increase in survival compared to controls, whereas metronomic gemcitabine improved survival but was inferior to the combination. We confirmed these findings using MDA361R tagged with human chorionic gonadotropin (hCG), which allows for the growth of cells to be monitored by assessment of hCG in the mouse urine, and these cells were implanted intracranially into female SCID mice. After urine hCG levels confirmed the presence of growing cells in the brain, the mice were randomized to the above 4 therapies (n=4/group), which showed an increase in survival of the combination compared to controls. These results point to intriguing effects of chemotherapy when used at continuous low (metronomic) doses, that in these studies involved gemcitabine administration every 3 days, and which in these models can be effectively combined with neratinib to suppress the growth of Her-2 positive breast cancer cells implanted into the mouse brain. These results highlight promising combination that could be used to suppress Her-2 positive breast cancer brain metastatic growth, and the developed models should facilitate the study of this subset of breast cancers. Citation Format: Serina Batson, Alejandro Sanchez, Hector M. Padilla, Diana L. Prospero, Brenda Lugo, Valeria V. Lopez, Daniella E. Estrada, Nydia De Avila, Saeedeh Darvishi, Arlene Levario, Shan Man, Ping Xu, Robert S. Kerbel, Guido Bocci, Giulio Francia. Metronomic gemcitabine plus neratinib effectively inhibits the growth of human Her-2 positive breast cancer cells intracranially implanted into immunodeficient mice. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3998.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».