RESUMEN
Since 1980's, the established/standard treatment of acute myeloid leukemia (AML) is cytarabine infusion with anthracycline (7 + 3 regimen). We compared the 7 + 3 regimen in older secondary/high-risk AML patients from a clinical trial with a matched population from the Swedish AML Registry treated with an increased cytarabine dose in induction and consolidation as recommended in the Swedish National Guidelines since 2005. After successful propensity score matching, 104 patients per group were included. The primary outcome was overall survival (OS), and standard dosed patients had a median OS of 6.4 versus 10.7 months with increased dose intensity (hazard ratio: 0.69, p = 0.012), with 5-year OS of 8.7% and 18.1%, and remission rates of 36% and 60%, respectively (p < 0.001). Median OS after allogeneic hematopoietic cell transplantation (in 27.9% per group) was 10.4 and 20.7 months, respectively. We conclude that the more intensive cytarabine schedule seems to provide improved outcomes inthe investigated AML patient group.
RESUMEN
Despite the considerable progress in acute myeloid leukemia (AML) treatment, relapse after allogeneic hematopoietic stem cell transplantation (HSCT) is still frequent and associated with a poor prognosis. Relapse has been shown to be correlated with an incomplete eradication of CD34+ leukemic stem cells prior to HSCT. Previously, we have shown that a novel CD34-directed, bispecific T-cell engager (BTE) can efficiently redirect the T-cell effector function toward cancer cells, thus eliminating leukemic cells in vitro and in vivo. However, its impact on γδ T-cells is still unclear. In this study, we tested the efficacy of the CD34-specific BTE using in vitro expanded γδ T-cells as effectors. We showed that the BTEs bind to γδ T-cells and CD34+ leukemic cell lines and induce target cell killing in a dose-dependent manner. Additionally, γδ T-cell mediated killing was found to be superior to αß T-cell mediated cytotoxicity. Furthermore, we observed that only in the presence of BTE the γδ T-cells induced primary AML blast killing in vitro. Importantly, our results show that γδ T-cells did not target the healthy CD34intermediate endothelial blood-brain barrier cell line (hCMEC/D3) nor lysed CD34+ HSCs from healthy bone marrow samples.
Asunto(s)
Anticuerpos Biespecíficos , Antígenos CD34 , Complejo CD3 , Leucemia Mieloide Aguda , Receptores de Antígenos de Linfocitos T gamma-delta , Humanos , Anticuerpos Biespecíficos/farmacología , Anticuerpos Biespecíficos/uso terapéutico , Leucemia Mieloide Aguda/inmunología , Leucemia Mieloide Aguda/terapia , Leucemia Mieloide Aguda/patología , Leucemia Mieloide Aguda/metabolismo , Antígenos CD34/metabolismo , Complejo CD3/inmunología , Receptores de Antígenos de Linfocitos T gamma-delta/metabolismo , Receptores de Antígenos de Linfocitos T gamma-delta/inmunología , Activación de Linfocitos/inmunología , Línea Celular Tumoral , Citotoxicidad Inmunológica , Linfocitos T/inmunología , Linfocitos T/metabolismo , Linfocitos Intraepiteliales/inmunología , Linfocitos Intraepiteliales/metabolismoRESUMEN
Consistent handling of samples is crucial for achieving reproducible molecular and functional testing results in translational research. Here, we used 229 acute myeloid leukemia (AML) patient samples to assess the impact of sample handling on high-throughput functional drug testing, mass spectrometry-based proteomics, and flow cytometry. Our data revealed novel and previously described changes in cell phenotype and drug response dependent on sample biobanking. Specifically, myeloid cells with a CD117 (c-KIT) positive phenotype decreased after biobanking, potentially distorting cell population representations and affecting drugs targeting these cells. Additionally, highly granular AML cell numbers decreased after freezing. Secondly, protein expression levels, as well as sensitivity to drugs targeting cell proliferation, metabolism, tyrosine kinases (e.g., JAK, KIT, FLT3), and BH3 mimetics were notably affected by biobanking. Moreover, drug response profiles of paired fresh and frozen samples showed that freezing samples can lead to systematic errors in drug sensitivity scores. While a high correlation between fresh and frozen for the entire drug library was observed, freezing cells had a considerable impact at an individual level, which could influence outcomes in translational studies. Our study highlights conditions where standardization is needed to improve reproducibility, and where validation of data generated from biobanked cohorts may be particularly important.