Abstract IA16: Creation and preliminary analyses of a full spectrum of breast cancers initiated de novo from normal human mammary cells
Notice bibliographique
Résumé
Abstract Human breast cancers (BCs) are well recognized for the diagnostic and treatment challenges posed by their extensive and continuously evolving genetic and biologic heterogeneity. Although much progress has been made in identifying features that may serve as new targets, most of these have not been found to be usefully applied to metastatic BCs characterized by a lack of cellular expression of ER, PR, HER2 and a high proliferative activity. Accordingly, these generally incurable BCs, thus identified as “triple-negative” (TNBCs) are in particular need of strategies to model their development in ways that could facilitate the design and testing of effective treatments. Given the drawbacks historically encountered in using cell lines, mouse models, and patient-derived xenografts for this purpose, we launched experiments to assess the potential of creating a useful human model of TNBC de novo. We first discovered that forced expression of KRASG12D (K) alone is sufficient to produce low grade, but persistent human tumors in transplanted immunodeficient NRG mice from 2 of the 3 cell types that constitute and maintain the normal adult human female mammary gland. Histologically, these YB-1-dependent K–induced tumors were classified as variably human ER-, PR- and HER2-positive, invasive ductal carcinomas, also able to produce derivative small tumors in secondary hosts. Subsequent experiments to test whether the indolent properties of these tumors can be modified (i.e., by additional forced expression of human hepatocyte growth factor, or maintenance of transplanted mice on an obesity-inducing diet) showed that neither of these treatments enhance the growth of the K-induced tumors. However, in sharp contrast, transplantation of female NRG mice with the same types of freshly isolated normal adult female mammary cells transduced with lentivirally-encoded BMI1, MYC and TP53R273C and K (KBMT) produced growths containing an increased frequency of Ki67+ cells within a week, and subsequently, produced still YB-1-elevated, but continuously expanding TNBCs. Interestingly, K was required in addition to all 3 of these oncogenes to obtain aggressively expanding TNBCs and, when any one of the BMI1, MYC, or TP53R273C oncogenes was omitted, variably diminished outputs were obtained. FACS analyses showed the surface marker phenotypes of the cells present in any of the more rapidly growing tumors to be remarkably homogeneous with features of normal basal cells. In addition, despite any gross evidence of metastatic capability, cells isolated from all KBMT-induced tumors tested could be expanded in vitro and generated fast growing tumors in transplanted secondary mice. Taken together, these findings demonstrate the feasibility of rapidly and reproducibly creating a model of human TNBC de novo from initially normal human mammary cells, thus offering a new and powerful platform for potentially developing novel prevention, diagnostic, as well as treatment approaches applicable to this disease. Citation Format: Susanna Tan, Davide Pellacani, Sylvain Lefort, Amal El-Naggar, Shengsen Ding, Poul H Sorensen, Martin Hirst, Connie Eaves. Creation and preliminary analyses of a full spectrum of breast cancers initiated de novo from normal human mammary cells [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Breast Cancer Research; 2023 Oct 19-22; San Diego, California. Philadelphia (PA): AACR; Cancer Res 2024;84(3 Suppl_1):Abstract nr IA16.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| 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 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».