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Enregistrement W2970632109 · doi:10.1182/blood.v130.suppl_1.3886.3886

Investigating the Efficacy of Anti-CD200 Immunotherapy in MRD Low and Risk B Cell Precursor ALL

2017· article· en· W2970632109 sur OpenAlexaff
Paraskevi Diamanti, Saifurrizal Saifurrizal, Charlotte V. Cox, Penka S. Petrova, Robert A. Uger, Allison Blair

Notice bibliographique

RevueBlood · 2017
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Lymphoblastic Leukemia research
Établissements canadiensTrillium Therapeutics (Canada)
Organismes subventionnairesnon disponible
Mots-clésMinimal residual diseaseAntigenImmunologyPopulationCD19MedicineImmunotherapyCancer researchImmune systemChimeric antigen receptorOncologyInternal medicineLeukemia

Résumé

récupéré en direct d'OpenAlex

Abstract Despite remission rates of >90% in childhood B cell precursor acute lymphoblastic leukaemia (BCP ALL) using frontline treatment, the incidence of relapse remains high. Immunotherapeutic approaches, including chimeric antigen receptor (CAR)-T cells targeting CD19 have resulted in improved outcomes for refractory cases. However, such therapies do not target CD19- ALL cells, a population known to have leukaemia initiating ability, and there are several reports of patients relapsing with CD19- leukaemia after CAR-T cell therapy. CD200 (OX-2) is an immunosuppressive molecule overexpressed in BCP ALL. In low risk minimal residual disease (MRD) ALL samples, only CD200+ cells have leukaemia initiating capacity in NOD.Cg- Prkdcscid Il2r g tm1Wjl /Sz (NSG) mice, suggesting that CD200 may be a suitable target for therapy in these cases. When CD200 binds to its receptor (CD200R) the immune response is suppressed. Consequently, malignant cells that overexpress CD200 may capitalise on this immune suppression and avoid destruction. Anti-CD200 antibodies (Ab) may be used to prevent such cancer cell evasion by binding to CD200 antigen and blocking its interaction with CD200R. The aim of this study was to investigate the expression of CD200 in MRD low and risk BCP ALL cases and assess the effects of using monoclonal (Mo) TTI-CD200 Ab in vitro and in vivo. Samples from MRD low and risk BCP ALL cases were stained with anti-CD200 Ab to quantify (i) the proportion of cells expressing CD200, (ii) the median fluorescence intensity (MFI) of CD200 and (iii) the number of CD200 antigen binding sites. Results were compared to those obtained using normal bone marrow (NBM) controls. The proportion of CD200+ cells was higher in ALL cases (median 40.0%, range 5.4-74.4%) compared to NBM cells (median 0.001%, range 0-0.003%, P =0.0004). There was no significant difference between the MRD low (median 33.8%, range 18.1-74.1%) and risk (median 44.93%, range 36.35-74.4%) ALL cases. However, CD200 MFI levels were significantly higher in the low risk cases (median 593, range 469-1313) compared to those observed in MRD risk cases (median 191, range 138-572, P =0.04). CD200 MFI levels in the low risk group were also significantly higher than in NBM cells (median 0.9, range 0-27, P =0.001). Additionally, the number of CD200 antigen sites on ALL cells was 5-fold higher in MRD low risk cases (median 1372, range 324-2179) than in risk cases (median 264, range 87-1500), while the number of CD200 sites on BM cells was only 17 (range 13-112, P =0.006 vs low risk cases). Monocyte-derived macrophages and CD4+ T cells from healthy donors were cultured with low risk BCP ALL cells ± TTI-CD200 in a mixed lymphocyte reaction assay. The production of interleukin (IL)-2 was measured as an indicator of immune system activation using an enzyme-linked immunosorbent assay. Median CD200 expression in these cases was 46.9% (range 0.7-94.2%) and MFI was 249 (34.8-1659). The median IL-2 increase observed on addition of TTI-CD200 was 16-fold (range 1.7-120) and it did not correlate with the proportion of CD200+ cells or MFI. In these cases, samples with very low proportions of CD200+ cells (0.9±0.4%) demonstrated a 2.5-fold increase in IL-2, whereas samples with higher proportions of CD200+ cells (91.1±4.4%) produced a 17.2-fold rise. To assess the effects of TTI-CD200 on ALL cells in vivo, NSG were inoculated with BCP ALL cells from MRD low and risk cases. Once leukaemia levels exceeded 0.5% in peripheral blood, animals received 4 doses of TTI-CD200 (20mg/kg i.v.) over 10 days. Consistent with previous findings, TTI-CD200 treatment of mice engrafted with MRD risk cases had no effect on disease burden. This may be due to the lower proportion of CD200+ cells in these cases (34.1±11.7% CD200+) and also that CD200- cells contribute to engraftment in risk cases. In contrast, in low risk ALL cases a 47.5±29% reduction in leukaemia burden was observed after treatment with TTI-CD200. The proportion of inoculated CD200+ cells was higher in these low risk cases (74.9±30.3% CD200+) and had significantly reduced by 99.4±0.6% (P =0.04) in ALL cells recovered from the murine BM on termination. The dose and schedule of TTI-CD200 used was much less intensive than standard chemotherapy. It may be possible to improve the in vivo efficacy using another round of therapy. These findings demonstrate the potential of using anti-CD200 MoAb therapy for low risk BCP ALL. Disclosures Petrova: Trillium Therapeutics: Employment, Equity Ownership. Uger: Trillium Therapeutics: Employment, Equity Ownership, Patents & Royalties.

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: Essai non randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,003

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 recherche0,0000,001
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 Opus0,018
Tête enseignante GPT0,290
Écart entre enseignants0,272 · 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'étudeEssai non randomisé
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
Publié2017
Routes d'admission1
Résumé présentoui

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