Developmental stage-specific transformation of neural progenitors
Notice bibliographique
Résumé
Gliomas represent the most common type of primary brain tumor in both children and adults, showing considerable variability in histologic appearance and clinical outcome. The phenotypic differences between types and grades of gliomas have not been explained solely on the grounds of differing oncogenic stimuli, and current evidence suggests that an interaction between the cell of origin, the tumor microenvironment, and specific cancer-causing genetic changes are all important factors in the evolution of central nervous system tumors.1,2 Studies performed in neural stem cells (NSC), a possible candidate for the glioma cell of origin, suggest that some of the variability in glioma biology may be, in part, a reflection of regional differences in the NSCs from which they arise.3,4 However, we don’t know whether the developmental stage of the NSC may also influence its response to oncogenic stimuli. A good candidate in which to address this question is the radial glial cell, as it progresses stepwise through distinct developmental stages and is the neonatal origin of adult subventricular zone (SVZ) neural stem cells.5 As development progresses, neural progenitors, such as radial glial cells, decrease in number, and their proliferation declines to low levels. The remaining neural stem cells become tightly regulated to ensure they do not hyper-proliferate in adult tissues. These control mechanisms are likely imposed during the cell’s progressive restriction in fate potential. Thus, we hypothesized that the susceptibility of these progenitor populations to oncogenic transformation changes as a function of their maturation. To test this, we developed a mouse model that integrates Cre–Lox-mediated, and Tet-regulated expression, to induce expression of activated K-ras into radial glial progenitors at distinct developmental time points. To target radial glial cells, we used the brain lipid binding protein (BLBP) promoter, as it is expressed specifically at the neurogenic and gliogenic stages of radial glial development,6 allowing us to test the transformation potential of this progenitor population across different stages of their development. Taking advantage of the lineage-tracing and inducible characteristics of our model, which allowed us to track the progeny that derived from BLBP+ cells and their response to the oncogenic effects of active K-ras, we identified naturally occurring, developmentally dependent variability in the tumorigenic effects of active K-ras.7 We showed that active K-ras alone was able to induce diffuse malignant gliomas when targeted to embryonic stages, whereas targeting it to late prenatal or postnatal stages did not lead to tumors (Fig. 1). The difference in the transforming capacity of active K-ras between prenatal and postnatal stages suggested to us that early progenitors may be less able to engage tumor suppressor pathways than their more mature counterparts. By sorting BLBP+ cells at defined developmental stages we were able to show that, indeed, the level of cell cycle regulators in these cells varies as a function of age, reflecting the changes in cell cycle kinetics that radial glia undergo during development and mirroring the ability of active K-ras to induce transformation. The biggest changes were observed in ARF, which had a robust increase in expression during late prenatal and postnatal time-points, accompanied by the downregulation of cell cycle progression regulators such as CDK4, cdc25A, and cdc25C. The higher expression of the tumor suppressor ARF at late prenatal and postnatal time points inversely correlated with the ability of K-ras mutations alone to initiate radial glial cell transformation. Thus resistance to oncogenic K-ras may reflect a developmental activation threshold for Ink4a/ARF, which might be related to the basal proliferative rate of cells at different stages in their development. This idea is not new, as it has been shown that expression of Ink4a/ARF increases with age in many tissue specific stem cells, including NSCs.8 However, our analysis was the first lineage-tracing study to show that even though postnatal neural stem cells derive from embryonic radial glial cells, their response to the same oncogenic stimulus is distinct. These distinctions reflect the inherent ability of the cell to engage tumor suppressor pathways in response to an oncogenic stimulus. Interestingly, by deleting p53 in radial glia cells, we were able to overcome the resistance of early postnatal neural progenitors to active K-ras transformation. Thus, it is possible that cancers driven by a single oncogene may in fact derive from earlier precursor populations than their counterparts harboring defects in multiple oncogenic pathways. Figure 1. NSCs in the developing forebrain begin as neuroepithelial cells and transform into radial glial cells, which mature into astrocyte-like cells or type B cells. The tumorigenic effects of K-rasG12D in this population, show developmentally ... Overall, our results highlight the interplay between genetic alterations and the molecular changes that accompany the temporal development of NSCs, and further emphasize the need to view the tumorigenic process of gliomas in the context of normal brain development. The cell context of oncogene expression may determine the phenotype and biologic aggressiveness of the tumor. Thus, the results of genetic or epigenetic alterations leading to brain tumors may be quite different during the course of CNS development, suggesting that unique treatment strategies may be required.
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 | 0,000 |
| 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 | 0,000 |
| 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 ».