Establishment and Drug Sensitivity, Gene Expression and Epigenetic Characterization of a Pediatric Leukemia Cell Line (POETIC1) with Primary Resistance to Decitabine
Notice bibliographique
Résumé
Abstract Introduction: Epigenetic alterations leading to the silencing of key tumor suppressor genes by promoter hypermethylation have been implicated in the pathogenesis of a number of malignancies, including MDS and AML. Currently, the prototypical DNA methyltransferase inhibitor 5-aza-2′-deoxycytidine (decitabine) has been studied in a number of diverse protocols as an anti-leukemic agent. However, the pattern of non-responsiveness to decitabine appears to be complex and multifactorial with some patients showing primary resistance whereas others develop resistance following initial responsiveness. To further understand the molecular mechanisms that define growth regulatory networks in pediatric AML, we have established and performed initial characterization using primary blasts that showed increased cell survival and proliferation in the presence of decitabine. Methods: Bone marrow leukemic blasts from a relapsed pediatric AML patient, who received only conventional chemotherapy, were obtained following local REB approval and informed parental consent. Upon in vitro culture to identify effective therapeutic agents, enhanced cell survival was noted in wells containing decitabine (1uM) compared to untreated cells. This cell population was further expanded in higher concentrations of decitabine that tolerated concentrations higher than 10 uM. These cells were then clonally expanded, and the resulting cell line designated POETIC1, was screened in growth inhibition assays against a panel of 142 pharmaceutical pipe-line agents that target known growth regulatory pathways and signaling molecules. The original primary leukemic cells and normal lymphocytes were used as control. Gene expression analyses were carried out using humanHT-12 v4 Expression BeadChip whole-genome expression arrays, normalized and analyzed using the Illumina BeadStudio Software. The distribution and plasticity, and quantity of DNA methylation were studied using the Illumina Infinium Human Methylation BeadChip Assay. Results: POETIC1 cells showed a differential drug sensitivity in approximately 20% of the agents tested. This includes enhanced susceptibility to agents that interfere with cell cycle regulation such as aurora kinase inhibitors, PLK, HDAC inhibitors and agents that targeted mTOR and proteasome activities. Transcriptome profiling revealed that 399 genes were down-regulated and 977 were up-regulated in the leukemia cells, compared to normal controls. POETIC 1 cells had significantly up-regulated DNA repair, cell cycle, oxidative phosphorylation and many other pro-survival pathways. Pathway analysis revealed that up-regulated genes belonged to cell cycle control and pro-survival signalling pathways including genes encoding for cyclins A and B, Cdc 7, Cdc 20 among others. They also had down-regulated genes relating to apoptosis, endocytosis and cell differentiation pathways. Global DNA methylome analysis revealed profound genome-wide deregulation of DNA methylation in POETIC 1 cells with a large number of genes were differentially methylated, including those involved in the control of cell cycle, oxidative phosphorylation, apoptosis and DNA repair pathways. Discussion: Our findings indicate aberrant cell cycle and metabolic pathways in leukemia cells with primary resistance to decitabine. The POETIC1 cell line, provides a critical experimental tool to investigate the role of epigenetic alterations in leukemogenesis as well as the molecular and physiological mechanisms that define primary resistance to methyltransferase inhibitors and facilitate the identification of novel therapeutic agents for refractory disease in future clinical studies. Disclosures No relevant conflicts of interest to declare.
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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».