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Enregistrement W2611202021 · doi:10.1182/blood.v128.22.4616.4616

Anti-Thymocyte Globulin Kills Leukemic Stem Cells in Vitro

2016· article· en· W2611202021 sur OpenAlexaff
Rosy Dabas, Poonam Dharmani, Monica Modi, Tiffany Van Slyke, Joanne Luider, Joseph Brandwein, Don Morris, Andrew Daly, Faisal Khan, Jan Storek

Notice bibliographique

RevueBlood · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensCalgary Laboratory ServicesFoothills Medical CentreAlberta Health ServicesUniversity of AlbertaUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésAnti-thymocyte globulinLeukemiaStem cellImmunologyMyeloid leukemiaHaematopoiesisPeripheral blood mononuclear cellFlow cytometryTransplantationHematopoietic stem cell transplantationGraft-versus-host diseaseCD34MedicineBiologyCancer researchIn vitroInternal medicineGlobulin

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Although curative treatment for acute myeloid leukemia, the success of allogeneic hematopoietic cell transplantation (HCT) is limited due to leukemia relapse and graft-versus-host disease (GvHD). Rabbit anti-thymocyte globulin (ATG) used for GvHD prophylaxis does not increase relapse (Walker et al: Lancet Oncol 2016). The non-increase in relapse could be because ATG has a direct anti-leukemic effect (Dabas et al: BBMT 2016). Multiple studies have suggested that a high number of leukemic stem cells (LSCs, also called leukemia initiating cells) remaining after therapy is associated with relapse. Therefore, targeting LSCs may be important for treating or preventing relapse. We demonstrated ATG's cytotoxic effect against acute myeloid leukemia (AML) blasts (Dabas et al: BBMT 2016). However, ATG's effect on LSCs has not been evaluated. In this study, we investigated in vitro ATG-induced complement-independent cytotoxicity (CIC, presumably direct induction of apoptosis) and complement-dependent cytotoxicity (CDC) against LSCs. This was also compared to ATG-induced CIC and CDC against healthy hematopoietic stem cells (HSCs). Methods:Frozen peripheral blood mononuclear cells (PBMNCs) from 15 patients newly diagnosed with AML were used as the source of LSCs. Frozen mononuclear cell apheresis samples from 15 healthy stem cell donors were used as the source of HSCs. We measured by flow cytometry CIC and CDC induced by ATG at 10 mg/L (the median peak concentration achieved with 4.5 mg/kg ATG given over day -2, -1 and 0) and 50 mg/L. CIC was induced by incubating cells with ATG in the presence of heat-inactivated (complement-depleted) fetal bovine serum for 4 hours. As a negative control for the calculation of background, cells were cultured under the same conditions except without ATG. CDC was induced by incubating cells with ATG in the presence of human serum as a source of complement for 15 minutes. As a negative control (for background), cells were incubated with ATG in the presence of heat-inactivated human serum (no complement). The LSCs and HSCs were phenotypically defined as CD45dim/neg, side scatterlow, CD34+, CD38neg and negative for CD14, CD16, CD19, CD56, CD235a and CD41a. For CIC, dying/dead cells were identified as Annexin V positive (Annexin V+). For CDC, dead cells were identified as 7-amino-actinomycin D positive (7AAD+). Results: ATG induced both CIC and CDC of LSCs at the concentration of 50 mg/L but not 10 mg/L. For CIC, the median percent Annexin V+ LSCs after incubation with 50 mg/L ATG was 22.3% vs 18.4% for background (p=0.0043, Wilcoxon matched pairs test). For CDC, the median percent 7AAD+ LSCs after incubation with 50 mg/L ATG was 37.2% vs 2% background (p=0.0004, Wilcoxon matched pairs test). Next, we compared the cytotoxicity of 50 mg/L ATG against LSCs versus healthy HSCs. For CIC, a significantly greater percent of LSCs than HSCs was killed (P=0.0363, Mann-Whitney rank sum test) (Figure 1). Similarly, for CDC, there was a trend toward a greater percent of LSCs than HSCs killed (P=0.0971) (Figure 2). Conclusion: ATG kills LSCs in vitro via both CIC and CDC. However, the degree of the killing is minor and only observed at a higher ATG concentration than typically achieved in patients. Our data also suggest that if high dose ATG was used in patients (resulting in ≥50 mg/L concentration), LSCs could be killed to a greater degree than healthy HSCs. Figure 1 LSCs are more sensitive to ATG mediated CIC than healthy HSCs. Mononuclear cells from 15 patients newly diagnosed with AML and cells from leukapheresis products of 15 healthy stem cell donors were incubated with ATG (50 mg/L) in the absence of complement. After 4 hours, the percentage of dead or dying (Annexin V+) cells was measured in LSCs and HSCs. Adjusted percentage (background subtracted) is shown for each patient/donor. Medians are shown as horizontal lines. Figure 1. LSCs are more sensitive to ATG mediated CIC than healthy HSCs. Mononuclear cells from 15 patients newly diagnosed with AML and cells from leukapheresis products of 15 healthy stem cell donors were incubated with ATG (50 mg/L) in the absence of complement. After 4 hours, the percentage of dead or dying (Annexin V+) cells was measured in LSCs and HSCs. Adjusted percentage (background subtracted) is shown for each patient/donor. Medians are shown as horizontal lines. Figure 2 LSCs are more sensitive to ATG mediated CDC than healthy HSCs. Mononuclear cells from 15 patients newly diagnosed with AML and cells from leukapheresis products of 15 healthy stem cell donors were incubated with ATG (50 mg/L) in the presence of complement. After 15 minutes, the percentage of dead (7AAD+) cells was measured in LSCs and HSCs. Adjusted percentage (background subtracted) is shown for each patient/donor. Medians are shown as horizontal lines. Figure 2. LSCs are more sensitive to ATG mediated CDC than healthy HSCs. Mononuclear cells from 15 patients newly diagnosed with AML and cells from leukapheresis products of 15 healthy stem cell donors were incubated with ATG (50 mg/L) in the presence of complement. After 15 minutes, the percentage of dead (7AAD+) cells was measured in LSCs and HSCs. Adjusted percentage (background subtracted) is shown for each patient/donor. Medians are shown as horizontal lines. Disclosures Daly: Sanofi-Genzyme: Other: Advisory Board.

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)0,000
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 enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
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 recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,015
Tête enseignante GPT0,259
Écart entre enseignants0,244 · 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

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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