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VENETOCLAX-OBINUTUZUMAB MODULATES CLONAL GROWTH: RESULTS OF A POPULATION-BASED MINIMAL RESIDUAL DISEASE MODEL FROM THE RANDOMIZED CLL14 STUDY
Author(s): ,
Othman Al-Sawaf
Affiliations:
Department I of Internal Medicine and Center of Integrated Oncology Aachen Cologne Bonn Duesseldorf,University Hospital of Cologne,Cologne,Germany
,
Can Zhang
Affiliations:
Department I of Internal Medicine and Center of Integrated Oncology Aachen Cologne Bonn Duesseldorf,University Hospital of Cologne,Cologne,Germany
,
Tong Lu
Affiliations:
Genentech,South San Francisco,United States
,
Michael Z Liao
Affiliations:
Genentech,South San Francisco,United States
,
Anesh Panchal
Affiliations:
Roche Products Ltd,Welywn Garden City,United Kingdom
,
Sandra Robrecht
Affiliations:
Department I of Internal Medicine and Center of Integrated Oncology Aachen Cologne Bonn Duesseldorf,University Hospital of Cologne,Cologne,Germany
,
Travers Ching
Affiliations:
Adaptive Biotechnologies Corp,Seattle,United States
,
Maneesh Tandon
Affiliations:
Roche Products Ltd,Welywn Garden City,United Kingdom
,
Anna Fink
Affiliations:
Department I of Internal Medicine and Center of Integrated Oncology Aachen Cologne Bonn Duesseldorf,University Hospital of Cologne,Cologne,United States
,
Eugen Tausch
Affiliations:
Department III of Internal Medicine,University Hospital Ulm,Ulm,Germany
,
Matthias Ritgen
Affiliations:
Department II of Internal Medicine,University of Schleswig- Holstein,Kiel,Germany
,
Sebastian Böttcher
Affiliations:
Department III of Internal Medicine,University Hospital Rostock,Rostock,Germany
,
Karl Kreuzer
Affiliations:
Department I of Internal Medicine and Center of Integrated Oncology Aachen Cologne Bonn Duesseldorf,University Hospital of Cologne,Cologne,Germany
,
Su Kim
Affiliations:
AbbVie Inc,Chicago,United States
,
Dale Miles
Affiliations:
Genentech,Sunnyvale,United States
,
Clemens Wendtner
Affiliations:
7Department of Hematology, Oncology, Immunology, Palliative Care, Infectious Diseases and Tropical Medicine,Klinikum Schwabing,Munich,Germany
,
Barbara Eichhorst
Affiliations:
Department I of Internal Medicine and Center of Integrated Oncology Aachen Cologne Bonn Duesseldorf,University Hospital of Cologne,Cologne,Germany
,
Stephan Stilgenbauer
Affiliations:
Department III of Internal Medicine,University Hospital Ulm,Ulm,Germany
,
Yanwen Jiang
Affiliations:
Genentech,San Francisco,United States
,
Michael Hallek
Affiliations:
Department I of Internal Medicine and Center of Integrated Oncology Aachen Cologne Bonn Duesseldorf,University Hospital of Cologne,Cologne,Germany
Kirsten Fischer
Affiliations:
Department I of Internal Medicine and Center of Integrated Oncology Aachen Cologne Bonn Duesseldorf,University Hospital of Cologne,Cologne,Germany
EHA Library. Al-Sawaf O. 06/09/21; 325392; EP632
Dr. Othman Al-Sawaf
Dr. Othman Al-Sawaf
Contributions
Abstract
Presentation during EHA2021: All e-poster presentations will be made available as of Friday, June 11, 2021 (09:00 CEST) and will be accessible for on-demand viewing until August 15, 2021 on the Virtual Congress platform.

Abstract: EP632

Type: E-Poster Presentation

Session title: Chronic lymphocytic leukemia and related disorders - Clinical

Background

The CLL14 study has established fixed-duration treatment of the Bcl-2 inhibitor venetoclax and the CD20 antibody obinutuzumab (Ven-Obi) for patients (pts) with previously untreated chronic lymphocytic leukemia (CLL). High rates of undetectable minimal residual disease (uMRD) have been observed with one year of treatment.

Aims

The aim of this report is to provide a population-based exploratory analysis of MRD growth dynamics after stopping Ven-Obi and chlorambucil-Obi (Clb) therapy and to compare growth trajectories between targeted treatment versus chemoimmunotherapy.

Methods

Pts were randomized 1:1 to receive 12 cycles of Ven with 6 cycles of Obi or 12 cycles of Clb with 6 cycles of Obi. MRD was analyzed by next-generation sequencing (Adaptive clonoSEQ Assay). Samples from peripheral blood (PB) are collected every 3-6 months. For the longitudinal analyses of MRD growth dynamics, a population-based logistic growth model with nonlinear mixed effects (NLME) approach was developed to estimate population and individual patient parameters. Cases with at least two measurable timepoints were included; data < LLOQ were incorporated by likelihood-based method. Prognostic markers were screened as covariates for impact on key model parameters based on statistical (Akaike information criterion) and graphical assessments. Statistical inference on MRD doubling time and time to reach 10-2 MRD level was derived for the stratified subgroups.

Results

Of 432 enrolled pts, 216 were assigned to receive Clb-Obi and 216 to Ven-Obi. At follow-up month 30, 7 (3.2%) pts in the Clb-Obi arm and 58 (26.9%) pts in the Ven-Obi arm had uMRD levels <10-4 (Fig A,B). Based on the inclusion criteria for the population analysis, 154 pts from Clb-Obi arm and 153 pts from Ven-Obi arm were included. The model was well calibrated, and high concordance between observed and predicted values was confirmed (Fig C).


 


The median MRD level at EoT was significantly lower after Ven-Obi than after Clb-Obi (10-6.00 vs 10-3.26, p<2e-16). Within the Ven-Obi arm, end of treatment MRD values did not differ between pts with low-risk and high-risk features, such as IGHV status (10-5.79 for mutated IGHV vs 10-6.12 for unmutated IGHV) or TP53 deletion/mutation (10-5.38 for deletion/mutation vs 10-6.03 for non-deleted/mutated). The median MRD doubling time was significantly longer after Ven-Obi than Clb-Obi therapy (median days 84 versus 67 days, p = 3.3e-5)(Fig D). The median time from EoT to MRD level increase to 10-2 was also significantly longer after Ven-Obi therapy compared to Clb-Obi therapy (median 1225 days versus 227 days, p<2e-16)(Fig D).


 


Based on a covariate screening of 28 biological and clinical characteristics, the final model showed a significant impact on MRD growth dynamics by Ven-Obi treatment, high MRD levels at the start of treatment, high CLL-IPI, deletion11q, higher disease burden, response to treatment, and IGHV status (Fig E,F). Pts with TP53 deletion/mutation also had higher growth, although statistical significance was not reached due to low number of pts. After adjusting all the covariates in the model, the effect of Ven-Obi treatment on MRD growth remained significant (Fig E,F).

Conclusion

This analysis establishes a robust, population-based model of MRD growth dynamics that allows description of growth trajectories and treatment effects after treatment cessation. In addition to more effective MRD eradication with Ven-Obi, our results demonstrate that MRD growth is modulated more efficiently by BCL2-targeting treatment in contrast to genotoxic chemoimmunotherapy.

Keyword(s): BCL2, Chronic lymphocytic leukemia, Clonality, Minimal residual disease (MRD)

Presentation during EHA2021: All e-poster presentations will be made available as of Friday, June 11, 2021 (09:00 CEST) and will be accessible for on-demand viewing until August 15, 2021 on the Virtual Congress platform.

Abstract: EP632

Type: E-Poster Presentation

Session title: Chronic lymphocytic leukemia and related disorders - Clinical

Background

The CLL14 study has established fixed-duration treatment of the Bcl-2 inhibitor venetoclax and the CD20 antibody obinutuzumab (Ven-Obi) for patients (pts) with previously untreated chronic lymphocytic leukemia (CLL). High rates of undetectable minimal residual disease (uMRD) have been observed with one year of treatment.

Aims

The aim of this report is to provide a population-based exploratory analysis of MRD growth dynamics after stopping Ven-Obi and chlorambucil-Obi (Clb) therapy and to compare growth trajectories between targeted treatment versus chemoimmunotherapy.

Methods

Pts were randomized 1:1 to receive 12 cycles of Ven with 6 cycles of Obi or 12 cycles of Clb with 6 cycles of Obi. MRD was analyzed by next-generation sequencing (Adaptive clonoSEQ Assay). Samples from peripheral blood (PB) are collected every 3-6 months. For the longitudinal analyses of MRD growth dynamics, a population-based logistic growth model with nonlinear mixed effects (NLME) approach was developed to estimate population and individual patient parameters. Cases with at least two measurable timepoints were included; data < LLOQ were incorporated by likelihood-based method. Prognostic markers were screened as covariates for impact on key model parameters based on statistical (Akaike information criterion) and graphical assessments. Statistical inference on MRD doubling time and time to reach 10-2 MRD level was derived for the stratified subgroups.

Results

Of 432 enrolled pts, 216 were assigned to receive Clb-Obi and 216 to Ven-Obi. At follow-up month 30, 7 (3.2%) pts in the Clb-Obi arm and 58 (26.9%) pts in the Ven-Obi arm had uMRD levels <10-4 (Fig A,B). Based on the inclusion criteria for the population analysis, 154 pts from Clb-Obi arm and 153 pts from Ven-Obi arm were included. The model was well calibrated, and high concordance between observed and predicted values was confirmed (Fig C).


 


The median MRD level at EoT was significantly lower after Ven-Obi than after Clb-Obi (10-6.00 vs 10-3.26, p<2e-16). Within the Ven-Obi arm, end of treatment MRD values did not differ between pts with low-risk and high-risk features, such as IGHV status (10-5.79 for mutated IGHV vs 10-6.12 for unmutated IGHV) or TP53 deletion/mutation (10-5.38 for deletion/mutation vs 10-6.03 for non-deleted/mutated). The median MRD doubling time was significantly longer after Ven-Obi than Clb-Obi therapy (median days 84 versus 67 days, p = 3.3e-5)(Fig D). The median time from EoT to MRD level increase to 10-2 was also significantly longer after Ven-Obi therapy compared to Clb-Obi therapy (median 1225 days versus 227 days, p<2e-16)(Fig D).


 


Based on a covariate screening of 28 biological and clinical characteristics, the final model showed a significant impact on MRD growth dynamics by Ven-Obi treatment, high MRD levels at the start of treatment, high CLL-IPI, deletion11q, higher disease burden, response to treatment, and IGHV status (Fig E,F). Pts with TP53 deletion/mutation also had higher growth, although statistical significance was not reached due to low number of pts. After adjusting all the covariates in the model, the effect of Ven-Obi treatment on MRD growth remained significant (Fig E,F).

Conclusion

This analysis establishes a robust, population-based model of MRD growth dynamics that allows description of growth trajectories and treatment effects after treatment cessation. In addition to more effective MRD eradication with Ven-Obi, our results demonstrate that MRD growth is modulated more efficiently by BCL2-targeting treatment in contrast to genotoxic chemoimmunotherapy.

Keyword(s): BCL2, Chronic lymphocytic leukemia, Clonality, Minimal residual disease (MRD)

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