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Enregistrement W2571611675 · doi:10.1182/blood.v116.21.4342.4342

Preclinical Studies of Cytotoxicity, Drug Synergy and Biological Correlates of Clofarabine Against Infant Leukemia Cells

2010· article· en· W2571611675 sur OpenAlexaffabout
Aarthi Jayanthan, Anjali Singh, Victor Lewis, Aru Narendran

Notice bibliographique

RevueBlood · 2010
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Lymphoblastic Leukemia research
Établissements canadiensAlberta Children's Hospital
Organismes subventionnairesnon disponible
Mots-clésClofarabineLeukemiaCancer researchCell cultureTransplantationMedicineImmunologyBiologyCytarabineInternal medicineGenetics

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 4342 Preclinical Studies of Cytotoxicity, Drug Synergy and Biological Correlates of Clofarabine Against Infant Leukemia Cells. Infants with leukemia, specifically those who relapse on frontline therapy, are extremely difficult to cure and are candidates for novel therapies that induce remission, allowing them to proceed to transplantation. The unique molecular, growth and chemoresistance properties of infant acute lymphoblastic leukemia (iALL) allow for focused preclinical studies within this group. Clofarabine (Clolar), an anti-neoplastic purine nucleoside analog, has shown significant efficacy in older children with refractory lymphoblastic leukemia. Its safety profile has more recently been established in Phase I and II single-agent trials. In addition to its anti-metabolite action, clofarabine appears to disrupt the integrity of mitochondrial membranes and activates pathways of programmed cell death, adding to its theoretical potential to synergize with agents that interfere with mitochondrial integrity. Methods: Primary leukemic cells, cell lines derived from iALL patients and cell lines carrying the molecular abnormalities commonly found in iALL, were used in this study (n=10). Karyotypic abnormalities of these cells include: t(11;19) (q23;p13), t(9;11)(p21;q23) and t(4;11)(q21;q23). With respect to Flt-3 expression, cell lines demonstrating wild-type, internal tandem duplication (ITD) and over-expression phenotypes were also included in this panel. Primary infant AML samples (n=2) and the infant AML cell line TIB-202 (THP-1) containing the t(9;11)(p21;q23) rearrangement and MLL-AF9 fusion gene were also included. ALL cell lines derived from pediatric patients (n= 5) were evaluated in parallel. Stromal cells established from normal bone marrow specimens and peripheral blood mononuclear cells were evaluated under identical conditions for assessment of non-specific toxicity. An increasing concentration of clofarabine was added to leukemic and control cells (104 cells per well, in 96 well plates) cell lines. Over the following four days, cell growth inhibition was measured by the Alamar blue assay. For drug combination studies, leukemia cells were incubated with a panel of conventional and targeted therapeutic agents (n=12) alone or in combination with clofarabine (IC10 or IC25 concentrations). Growth inhibition under each condition was measured and combination indices were calculated according to established methods. Induction of apoptosis and the release of mitochondrial mediators were measured by Western blot analysis. Alteration in mitochondrial integrity was evaluated by immunocytochemistry for fluorescent labeled anti-mitochondrial Hsp70 and real-time imaging. Results and Discussion: Clofarabine inhibited growth of all iALL cells tested with IC50 values ranging from 0.1 μ M to 0.01 μ M. Primary iAML cells were found to be most sensitive to clofarabine. For iALL cell lines the highest IC50 value was found in Bel-1 cells, expressing a t(4;11)(q21;q23) karyotype. Drug combination studies showed significant synergy with 17-AAG (Hsp90 inhibitor, CI 0.7), sorafenib (CI 0.12), bortezomib (CI 0.3) and rapamycin (CI 0.2). No drug combinability was noted, with conventional alkylating agents and antimetabolites. Interestingly, the therapeutic opioid methadone (D,L-methadone hydrochloride), used extensively in the treatment of cancer pain and opioid addiction, showed significant synergy with clofarabine at low concentrations (CI 0.74, range 0.66 – 0.79 μ M). Incubation of cells with clofarabine (IC25) for 48 hours resulted in detectable activation of caspase 9 and cleavage of PARP. We demonstrate the ability of clofarabine to induce cytotoxicity against a panel of leukemia cells that carry the molecular aberrations and growth properties seen in iALL. We also present data on the biological correlates and synergistic effects of clofarabine with other anti-leukemic agents. Of particular interest is the synergy with methadone, which has been shown previously to affect mitochondrial activity in leukemia cells. Data presented in study provide key initial data to construct effective xenograft studies and to formulate a clofarabine based treatment protocol for iALL in the near future. Disclosures: Narendran: Genzyme Canada: Research Funding.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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.

Tête enseignante Opus0,029
Tête enseignante GPT0,317
Écart entre enseignants0,288 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2010
Routes d'admission2
Résumé présentoui

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