20 research outputs found

    A model for predicting effect of treatment on progression-free survival using MRD as a surrogate end point in CLL

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    Our objective was to evaluate minimal residual disease (MRD) at the end of induction treatment with chemoimmunotherapy as a surrogate end point for progression-free survival (PFS) in chronic lymphocytic leukemia (CLL) based on 3 randomized, phase 3 clinical trials (ClinicalTrials.gov identifiers NCT00281918, NCT00769522, and NCT02053610). MRD was measured in peripheral blood (PB) from treatment-naïve patients in the CLL8, CLL10, and CLL11 clinical trials, and quantified by 4-color flow cytometry or allele-specific oligonucleotide real-time quantitative polymerase chain reaction. A meta-regression model was developed to predict treatment effect on PFS using treatment effect on PB-MRD. PB-MRD levels were measured in 393, 337, and 474 patients from CLL8, CLL10, and CLL11, respectively. The model demonstrated a statistically significant relationship between treatment effect on PB-MRD and treatment effect on PFS. As the difference between treatment arms in PB-MRD response rates increased, a reduction in the risk of progression or death was observed; for each unit increase in the (log) ratio of MRD2 rates between arms, the log of the PFS hazard ratio decreased by 20.188 (95% confidence interval, 20.321 to 20.055; P 5 .008). External model validation on the REACH trial and sensitivity analyses confirm the robustness and applicability of the surrogacy model. Our surrogacy model supports use of PB-MRD as a primary end point in randomized clinical trials of chemoimmunotherapy in CLL. Additional CLL trial data are required to establish a more precise quantitative relationship between MRD and PFS, and to support general applicability of MRD surrogacy for PFS across diverse patient characteristics, treatment regimens, and different treatment mechanisms of action

    Prediction of nucleated cells in bone marrow stem cell products by donor characteristics: a retrospective single centre analysis

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    Background and Objectives Number of total nucleated cells is an important prognostic factor of unrelated bone marrow transplantation. The objective of our study was to further optimize donor selection by finding donor characteristics which predict the total nucleated cell concentration in unrelated bone marrow products. Material and Methods Data were collected retrospectively from the pre-donation medical records. The outcome variable was concentration of total nucleated cells in the final products. We investigated several candidate predictors, including demographic variables and peripheral blood counts. A backward selection procedure was performed, using multivariable multilevel analysis. Results A total of 471 donations were included. Significant predictors were increase of age (ratio per 5 years 0·971), cytomegalovirus (ratio 0·947 if positive), smoking (ratio 1·079 if yes), higher haemoglobin (ratio 1·052 per mmol/l), higher mono-nuclear cells (ratio 1·169 when mono-nuclear cells >2·69 compared to mono-nuclear cells <1·89 × 10E9/l), increasing number of whole blood donations (ratio 1·115 when blood donations >4 compared to blood donation <1), and larger body surface area (ratio 1·179 when body surface area >2·07 compared to body surface area <1·82
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