Leukemia-Initiating Cells in Acute Megakaryoblastic Leukemia and Transient Leukemia of Down Syndrome.
Notice bibliographique
Résumé
Abstract Background. Children with Down syndrome (DS) have a 500-fold greater risk of developing Acute Megakaryoblastic Leukemia (AMKL) than the general population. In addition, approximately one out of ten newborns with DS has circulating blasts in the blood, a condition termed Transient Leukemia (TL). Unlike AMKL, TL resolves spontaneously within three months but in about 20% of cases is followed by AMKL later in life. Both the blasts of TL and AMKL of DS (DS-AMKL) show megakaryocytic differentiation and both harbor somatic mutations of GATA1, resulting in the expression of the N-terminally truncated mutant protein GATA1s. We hypothesize that the difference between the reversible and irreversible phenotype of TL and AMKL in DS, respectively, is due to a functional difference of the leukemia-initiating cells in both conditions. Methods. To characterize the leukemia-initiating cells we established experimental models of AMKL and TL of DS by transplanting cryopreserved primary human cells into NOD/SCID mice. Cell doses ranging from 0.5 to 20x106 were injected intrafemorally into 8-week-old irradiated recipients, which had also been treated with anti-NK cell antibody (anti-CD122). Human hematopoietic growth factors (stem cell factor, interleukin-3 and thrombopoietin) were administered intraperitoneally during the first two weeks following transplantation. Phenotypic analysis using standard cytological, histological and flowcytometric methods was carried out approximately 8 weeks after transplantation. Results. Recipients transplanted with 2 (of a total of 7) AMKL samples showed engraftment with 32% (range 26–44%; n=3) and 73% (range 16–95%; n=8) human cells at the site of the original cell injection (right femur) and 15% (n=3) and 38% (n=8) at distant medullary sites. The engrafted human cells were trisomic for human chromosome 21, expressed the megakaryocytic marker CD61 and, compared with the transplanted primary AMKL cell population, harbored the concordant GATA1 mutation. Bone marrow biopsy revealed increased reticulin fibres 8 weeks after transplantation of AMKL cells. In our experiments, DS-AMKL-initiating cells were found to occur within a broad range of frequency (18x10−4 to 20x10−6) but were not defined by their expression of CD34 and/or CD38. In keeping with the self-renewal capacity of leukemia-initiating cells in human acute myeloid leukemia, DS-AMKL cells collected from the right femur (site of initial cell injection) and from distant bone marrow sites of primary recipients were able to engraft secondary recipients. In contrast, only one of five primary TL cell samples showed engraftment within the right femur (21%, range 3–81%; n=5), the site at which TL cells had been injected 8 weeks earlier. No TL cells or engrafted human cells were detected in any distal bone marrow site or extramedullary compartment such as the spleen. Conclusion. Our results indicate that the function of leukemia-initiating cells in DS-AMKL but not TL parallels those of non-DS human acute myeloid leukemia. Our model provides an experimental approach to distinguish the role of the cellular target vs. mutations cooperating with GATA1 mutations in the development of AMKL and TL in DS.
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 | 0,000 |
| 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 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 ».