2018-03-01
A model for predicting effect of treatment on progression-free survival using MRD as a surrogate end point in CLL
Publication
Publication
Blood , Volume 131 - Issue 9 p. 955- 962
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.
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| doi.org/10.1182/blood-2017-06-792333, hdl.handle.net/1765/110249 | |
| Blood | |
| Organisation | Department of Immunology |
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Dimier, N. (Natalie), Delmar, P. (Paul), Ward, C. (Carol), Morariu-Zamfir, R. (Rodica), Fingerle-Rowson, G. (Günter), Bahlo, J. (Jasmin), … Hallek, M. (Michael). (2018). A model for predicting effect of treatment on progression-free survival using MRD as a surrogate end point in CLL. Blood, 131(9), 955–962. doi:10.1182/blood-2017-06-792333 |
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