NK Cell Line Killing of Leukemia Cells Is Enhanced By Reverse Antibody Dependent Cell Mediated Cytotoxicity (R-ADCC) Via NKp30 and NKp44 and Target Fcγ Receptor II (CD32)
Notice bibliographique
Résumé
Abstract Introduction: We are studying NK cell immunotherapy to treat acute myeloid leukemia (AML) and have focused on NK-92 and KHYG-1, CD16(-) human malignant NK cell lines. Phase I NK-92 trials show minimal toxicity; KHYG-1 has not been tested in humans. Here, we investigated modulation of cytotoxicity of NK cell lines against primary AML blasts and cell lines with monoclonal antibodies (mAb) directed against natural cytotoxicity receptors. Methods: NK cytotoxicity was assessed with a standard 4 hour Cr51 release assay at an effector to target (E:T) ratio of 10:1. NK lines were incubated with and without isotype control and mAbs against NKp30, NKp44 at various doses (0.001-10 µg/ml) for 1 hour and washed with medium prior to cytotoxicity assays. The student’s t-test was used to compare cytotoxicity data. Target cells were incubated with 100 µCi Cr51 and cell supernatants assayed on a gamma counter. NK targets (leukemic and esophageal cancer) were evaluated for Fcγ receptor expression by flow cytometry. To test the cytotoxic effect on in vivo proliferation, OCI/AML5 cells were co-incubated with irradiated KHYG-1 (iKHYG-1) +/-1 µg/ml NKp30 pretreatment for 4 hours at a 10:1 E:T ratio and injected ip into NOD/SCID gamma null (NSG) mice with survival as an endpoint analyzed with the log rank test. Results: NK-92 and KHYG-1 were both highly cytotoxic against K562 with moderate killing of OCI/AML3 and KG1 and KG1a. OCI/AML5 was highly sensitive to killing by NK-92, but resistant to KHYG-1. Pretreatment of NK-92 with mAbs against NKp30, NKp44 (10 µg/ml) yielded small increases in cytotoxicity against leukemic cell lines with NKp30 pretreatment only. Pretreatment of KHYG-1 with 10 µg/ml of anti-NKp30 or anti-NKp44 mediated fold increases in cytotoxicity above isotype control against 4 leukemia cell line targets and 4 primary AML samples (Table1). Anti-NKp30 and anti-NKp44 pretreatment of NK-92 and KHYG-1 did not enhance killing of a panel of esophageal cancer cell lines. Immunophenotyping cancer cell lines showed high expression of Fcγ receptor II (CD32), but very low expression of Fcγ receptor I (CD64) or III (CD16) on leukemia lines (K562, OCI/AML3, OCI/AML5, KG1 and KG1a), and no expression of Fcγ receptors on esophageal lines (OE-33, FLO-1, KYAE-1, SKGT-4). Regression analysis of the relationship between cytotoxic enhancement and CD32 expression of targets revealed a strong correlation for NKp30 (p<0.01; R2=0.71) and NKp44 (p<0.01; R2=0.64) pretreated KHYG-1. NSG mice injected with 2x106 OCI/AML5 cells developed progressive malignant ascites at 9 weeks requiring sacrifice, unaffected by iKHYG-1 (p=0.92). However, NKp30 pretreated iKHYG-1 improved survival versus no therapy (p<0.05) or iKHYG-1 (p<0.05) cohorts. Conclusion: We show a novel means to enhance cytotoxicity of NK cell lines many fold against primary AML cells by pretreatment with mAbs against NKp30 and NKp44. The mechanism of enhanced KHYG-1 cytotoxicity is from bound NKp30 or NKp44 becoming crosslinked when the Fc portion binds the Fcγ receptor II (CD32) on targets. This is the first demonstration of reverse antibody-dependent cell-mediated cytotoxicity (R-ADCC) with a NK cell line leading to enhanced killing of AML primary blasts in vitro and the first demonstration of R-ADCC in an in vivo model. Table 2: Effect of NKp30 or NKp44 pretreatment on KHYG-1 cytotoxicity against primary AML samples Fold lysis and p values Primary AML samples 5890 080078 0909 080179 Fold change lysis NKp30 1.7 15.7 2.7 4.9 Fold change lysis NKp44 0.9 16.3 2.8 6.2 p value NKp30 <0.05 =0.0001 <0.0001 <0.001 p value NKp44 0.9 <0.001 <0.001 <0.001 Disclosures No relevant conflicts of interest to declare.
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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) | 0,002 | 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 ».