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Stamatopoulos K, Pavlova S, Al‐Sawaf O, Chatzikonstantinou T, Karamanidou C, Gaidano G, Cymbalista F, Kater AP, Rawstron A, Scarfò L, Ghia P, Rosenquist R. Realizing precision medicine in chronic lymphocytic leukemia: Remaining challenges and potential opportunities. Hemasphere 2024; 8:e113. [PMID: 39035106 PMCID: PMC11260284 DOI: 10.1002/hem3.113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 04/29/2024] [Accepted: 06/04/2024] [Indexed: 07/23/2024] Open
Abstract
Patients with chronic lymphocytic leukemia (CLL) exhibit diverse clinical outcomes. An expanding array of genetic tests is now employed to facilitate the identification of patients with high-risk disease and inform treatment decisions. These tests encompass molecular cytogenetic analysis, focusing on recurrent chromosomal alterations, particularly del(17p). Additionally, sequencing is utilized to identify TP53 mutations and to determine the somatic hypermutation status of the immunoglobulin heavy variable gene. Concurrently, a swift advancement of targeted treatment has led to the implementation of novel strategies for patients with CLL, including kinase and BCL2 inhibitors. This review explores both current and emerging diagnostic tests aimed at identifying high-risk patients who should benefit from targeted therapies. We outline existing treatment paradigms, emphasizing the importance of matching the right treatment to the right patient beyond genetic stratification, considering the crucial balance between safety and efficacy. We also take into consideration the practical and logistical issues when choosing a management strategy for each individual patient. Furthermore, we delve into the mechanisms underlying therapy resistance and stress the relevance of monitoring measurable residual disease to guide treatment decisions. Finally, we underscore the necessity of aggregating real-world data, adopting a global perspective, and ensuring patient engagement. Taken together, we argue that precision medicine is not the mere application of precision diagnostics and accessibility of precision therapies in CLL but encompasses various aspects of the patient journey (e.g., lifestyle exposures and comorbidities) and their preferences toward achieving true personalized medicine for patients with CLL.
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Affiliation(s)
- Kostas Stamatopoulos
- Centre for Research and Technology HellasInstitute of Applied BiosciencesThessalonikiGreece
- Department of Molecular Medicine and SurgeryKarolinska InstitutetStockholmSweden
| | - Sarka Pavlova
- Department of Internal Medicine, Hematology and Oncology, and Institute of Medical Genetics and GenomicsUniversity Hospital Brno and Medical Faculty, Masaryk UniversityBrnoCzech Republic
- Central European Institute of TechnologyMasaryk UniversityBrnoCzech Republic
| | - Othman Al‐Sawaf
- Department I of Internal Medicine and German CLL Study Group, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD)University of Cologne, Faculty of Medicine and University Hospital of CologneCologneGermany
- Francis Crick Institute LondonLondonUK
- Cancer Institute, University College LondonLondonUK
| | | | - Christina Karamanidou
- Centre for Research and Technology HellasInstitute of Applied BiosciencesThessalonikiGreece
| | - Gianluca Gaidano
- Division of Haematology, Department of Translational MedicineUniversity of Eastern PiedmontNovaraItaly
| | | | - Arnon P. Kater
- Department of Hematology, Cancer Center AmsterdamAmsterdam University Medical Centers, University of AmsterdamAmsterdamThe Netherlands
| | - Andy Rawstron
- Haematological Malignancy Diagnostic ServiceLeeds Teaching Hospitals TrustLeedsUK
| | - Lydia Scarfò
- Medical SchoolUniversità Vita Salute San RaffaeleMilanoItaly
- Strategic Research Program on CLLIRCCS Ospedale San RaffaeleMilanoItaly
| | - Paolo Ghia
- Medical SchoolUniversità Vita Salute San RaffaeleMilanoItaly
- Strategic Research Program on CLLIRCCS Ospedale San RaffaeleMilanoItaly
| | - Richard Rosenquist
- Department of Molecular Medicine and SurgeryKarolinska InstitutetStockholmSweden
- Clinical GeneticsKarolinska University HospitalStockholmSweden
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2
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Davis PM, Ravkov E, de Geus M, Clauss Z, Lee J, Nguyen AT, Hartmann M, Kim J, George TI, Lin L, Ng DP. Synthetic abnormal mast cell particles successfully mimic neoplastic mast cells by flow cytometry. CYTOMETRY. PART B, CLINICAL CYTOMETRY 2024. [PMID: 38816961 DOI: 10.1002/cyto.b.22183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 04/12/2024] [Accepted: 05/15/2024] [Indexed: 06/01/2024]
Abstract
Clinical flow cytometry laboratories require quality control materials for assay development, validation, and performance monitoring, including new reagent lot qualification. However, finding suitable controls for populations with uncommonly expressed antigens or for rare populations, such as mast cells, can be difficult. To that end, we evaluated synthetic abnormal mast cell particles (SAMCP), developed together with, and manufactured by, Slingshot Biosciences. The SAMCP's were designed to phenotypically mimic abnormal neoplastic mast cells: they were customized to have the same light scatter and autofluorescence properties of mast cells, along with surface antigen levels of CD45, CD33, CD117, CD2, CD25, and CD30 consistent with that seen in mast cell disease. We evaluated several performance characteristics of these particles using ARUP's high sensitivity clinical mast cell assay, including limit of detection, off-target activity and FMO controls, precision, scatter properties of the particles utilizing several different cytometer platforms, and particle antigen stability. The phenotype of the SAMCP mimicked abnormal mast cells, and they could be distinguished from normal native mast cells. FMO controls demonstrated specificity of each of the markers, and no off-target binding was detected. The limit of detection of the particles spiked into normal bone marrow was found to be ≤0.003% in a limiting dilution assay. The mast cell particles were found to perform similarly on Becton Dickinson Lyric, Cytek Aurora, and Beckman Coulter Navios and CytoFLEX platforms. Within run and between run precision were less than 10% CV. SAMCP were stable up to 13 days with minimal loss of antigen fluorescence intensity. The SAMCP's were able to successfully mimic neoplastic mast cells based on the results of our high sensitivity mast cell flow cytometry panel. These synthetic cell particles represent an exciting and innovative technology, which can fulfill vital needs in clinical flow cytometry such as serving as standardized control materials for assay development and performance monitoring.
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Affiliation(s)
- Patricia M Davis
- ARUP Institute for Clinical & Experimental Pathology, ARUP Laboratories, Salt Lake City, Utah, USA
| | - Eugene Ravkov
- ARUP Institute for Clinical & Experimental Pathology, ARUP Laboratories, Salt Lake City, Utah, USA
| | | | - Zach Clauss
- Slingshot Biosciences, Emeryville, California, USA
| | - John Lee
- Slingshot Biosciences, Emeryville, California, USA
| | | | | | - Jeffrey Kim
- Slingshot Biosciences, Emeryville, California, USA
| | - Tracy I George
- ARUP Institute for Clinical & Experimental Pathology, ARUP Laboratories, Salt Lake City, Utah, USA
- Department of Pathology, University of Utah, Salt Lake City, Utah, USA
| | - Leo Lin
- ARUP Institute for Clinical & Experimental Pathology, ARUP Laboratories, Salt Lake City, Utah, USA
- Department of Pathology, University of Utah, Salt Lake City, Utah, USA
| | - David P Ng
- ARUP Institute for Clinical & Experimental Pathology, ARUP Laboratories, Salt Lake City, Utah, USA
- Department of Pathology, University of Utah, Salt Lake City, Utah, USA
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3
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Del Giudice I, Della Starza I, De Falco F, Gaidano G, Sportoletti P. Monitoring Response and Resistance to Treatment in Chronic Lymphocytic Leukemia. Cancers (Basel) 2024; 16:2049. [PMID: 38893168 PMCID: PMC11171231 DOI: 10.3390/cancers16112049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Revised: 05/09/2024] [Accepted: 05/23/2024] [Indexed: 06/21/2024] Open
Abstract
The recent evolution in chronic lymphocytic leukemia (CLL) targeted therapies led to a progressive change in the way clinicians manage the goals of treatment and evaluate the response to treatment in respect to the paradigm of the chemoimmunotherapy era. Continuous therapies with BTK inhibitors achieve prolonged and sustained control of the disease. On the other hand, venetoclax and anti-CD20 monoclonal antibodies or, more recently, ibrutinib plus venetoclax combinations, given for a fixed duration, achieve undetectable measurable residual disease (uMRD) in the vast majority of patients. On these grounds, a time-limited MRD-driven strategy, a previously unexplored scenario in CLL, is being attempted. On the other side of the spectrum, novel genetic and non-genetic mechanisms of resistance to targeted treatments are emerging. Here we review the response assessment criteria, the evolution and clinical application of MRD analysis and the mechanisms of resistance according to the novel treatment strategies within clinical trials. The extent to which this novel evidence will translate in the real-life management of CLL patients remains an open issue to be addressed.
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Affiliation(s)
- Ilaria Del Giudice
- Hematology, Department of Translational and Precision Medicine, Sapienza University, 00161 Rome, Italy;
| | - Irene Della Starza
- Hematology, Department of Translational and Precision Medicine, Sapienza University, 00161 Rome, Italy;
- AIL Roma, ODV, 00161 Rome, Italy
| | - Filomena De Falco
- Department of Medicine and Surgery, Institute of Hematology and Center for Hemato-Oncological Research, University of Perugia, 06129 Perugia, Italy;
| | - Gianluca Gaidano
- Division of Hematology, Department of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy;
| | - Paolo Sportoletti
- Department of Medicine and Surgery, Institute of Hematology and Center for Hemato-Oncological Research, University of Perugia, 06129 Perugia, Italy;
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4
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Chen X, Chen X, Zhao S, Shi Y, Zhang N, Guo Z, Qiao C, Jin H, Zhu L, Zhu H, Li J, Wu Y. Performance of a novel eight-color flow cytometry panel for measurable residual disease assessment of chronic lymphocytic leukemia. CYTOMETRY. PART B, CLINICAL CYTOMETRY 2024; 106:181-191. [PMID: 38535092 DOI: 10.1002/cyto.b.22170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 03/03/2024] [Accepted: 03/12/2024] [Indexed: 06/01/2024]
Abstract
BACKGROUND Measurable residual disease (MRD) is an important prognostic indicator of chronic lymphocytic leukemia (CLL). Different flow cytometric panels have been developed for the MRD assessment of CLL in Western countries; however, the application of these panels in China remains largely unexplored. METHODS Owing to the requirements for high accuracy, reproducibility, and comparability of MRD assessment in China, we investigated the performance of a flow cytometric approach (CD45-ROR1 panel) to assess MRD in patients with CLL. The European Research Initiative on CLL (ERIC) eight-color panel was used as the "gold standard." RESULTS The sensitivity, specificity, and concordance rate of the CD45-ROR1 panel in the MRD assessment of CLL were 100% (87/87), 88.5% (23/26), and 97.3% (110/113), respectively. Two of the three inconsistent samples were further verified using next-generation sequencing. In addition, the MRD results obtained from the CD45-ROR1 panel were positively associated with the ERIC eight-color panel results for MRD assessment (R = 0.98, p < 0.0001). MRD detection at low levels (≤1.0%) demonstrated a smaller difference between the two methods (bias, -0.11; 95% CI, -0.90 to 0.68) than that at high levels (>1%). In the reproducibility assessment, the bias was smaller at three data points (within 24, 48, and 72 h) in the CD45-ROR1 panel than in the ERIC eight-color panel. Moreover, MRD levels detected using the CD45-ROR1 panel for the same samples from different laboratories showed a strong statistical correlation (R = 0.99, p < 0.0001) with trivial interlaboratory variation (bias, 0.135; 95% CI, -0.439 to 0.709). In addition, the positivity rate of MRD in the bone marrow samples was higher than that in the peripheral blood samples. CONCLUSIONS Collectively, this study demonstrated that the CD45-ROR1 panel is a reliable method for MRD assessment of CLL with high sensitivity, reproducibility, and reliability.
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MESH Headings
- Humans
- Leukemia, Lymphocytic, Chronic, B-Cell/diagnosis
- Leukemia, Lymphocytic, Chronic, B-Cell/pathology
- Leukemia, Lymphocytic, Chronic, B-Cell/blood
- Flow Cytometry/methods
- Neoplasm, Residual/diagnosis
- Neoplasm, Residual/pathology
- Middle Aged
- Leukocyte Common Antigens/analysis
- Male
- Female
- Aged
- Reproducibility of Results
- Immunophenotyping/methods
- Adult
- Sensitivity and Specificity
- Aged, 80 and over
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Affiliation(s)
- Xiao Chen
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Department of Hematology, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Xia Chen
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Department of Hematology, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Sishu Zhao
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Department of Hematology, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Yu Shi
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Department of Hematology, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Ninghan Zhang
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Department of Hematology, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Zhen Guo
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Department of Hematology, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Chun Qiao
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Department of Hematology, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Huimin Jin
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Department of Hematology, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Liying Zhu
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Department of Hematology, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Huayuan Zhu
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Department of Hematology, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Jianyong Li
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Department of Hematology, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Yujie Wu
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, China
- Key Laboratory of Hematology, Nanjing Medical University, Nanjing, China
- Department of Hematology, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
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5
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Ahn IE, Brander DM, Ren Y, Zhou Y, Tyekucheva S, Walker HA, Black R, Montegaard J, Alencar A, Shune L, Omaira M, Jacobson CA, Armand P, Ng SY, Crombie J, Fisher DC, LaCasce AS, Arnason J, Hochberg EP, Takvorian RW, Abramson JS, Brown JR, Davids MS. Five-year follow-up of a phase 2 study of ibrutinib plus fludarabine, cyclophosphamide, and rituximab as initial therapy in CLL. Blood Adv 2024; 8:832-841. [PMID: 38163317 PMCID: PMC10874751 DOI: 10.1182/bloodadvances.2023011574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/21/2023] [Accepted: 11/22/2023] [Indexed: 01/03/2024] Open
Abstract
ABSTRACT We previously reported high rates of undetectable minimal residual disease <10-4 (uMRD4) with ibrutinib plus fludarabine, cyclophosphamide, and rituximab (iFCR) followed by 2-year ibrutinib maintenance (I-M) in treatment-naïve chronic lymphocytic leukemia (CLL). Here, we report updated data from this phase 2 study with a median follow-up of 63 months. Of 85 patients enrolled, including 5 (6%) with deletion 17p or TP53 mutation, 91% completed iFCR and 2-year I-M. Five-year progression-free survival (PFS) and overall survival were 94% (95% confidence interval [CI], 89%-100%) and 99% (95% CI, 96%-100%), respectively. No additional deaths have occurred with this extended follow-up. No difference in PFS was observed by immunoglobulin heavy-chain variable region gene status or duration of I-M. High rates of peripheral blood (PB) uMRD4 were maintained (72% at the end of iFCR, 66% at the end of 2-year I-M, and 44% at 4.5 years from treatment initiation). Thirteen patients developed MRD conversion without clinical progression, mostly (77%) after stopping ibrutinib. None had Bruton tyrosine kinase (BTK) mutations. One patient had PLCG2 mutation. Six of these patients underwent ibrutinib retreatment per protocol. Median time on ibrutinib retreatment was 34 months. The cumulative incidence of atrial fibrillation was 8%. Second malignancy or nonmalignant hematologic disease occurred in 13%, mostly nonmelanoma skin cancer. Overall, iFCR with 2-year I-M achieved durably deep responses in patients with diverse CLL genetic markers. Re-emergent clones lacked BTK mutation and retained sensitivity to ibrutinib upon retreatment. This trial is registered at www.clinicaltrials.gov as #NCT02251548.
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Affiliation(s)
- Inhye E. Ahn
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
| | | | - Yue Ren
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Yinglu Zhou
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | | | - Heather A. Walker
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Robert Black
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Josie Montegaard
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Alvaro Alencar
- Division of Hematology, University of Miami Sylvester Comprehensive Cancer Center, Miami, FL
| | - Leyla Shune
- Department of Hematologic Malignancies, University of Kansas Cancer Center, Westwood, KS
| | - Mohammad Omaira
- Department of Medical Oncology, West Michigan Cancer Center, Kalamazoo, MI
| | - Caron A. Jacobson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
| | - Philippe Armand
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
| | - Samuel Y. Ng
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
| | - Jennifer Crombie
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
| | - David C. Fisher
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
| | - Ann S. LaCasce
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
| | - Jon Arnason
- Harvard Medical School, Boston, MA
- Department of Medical Oncology, Beth Israel Deaconess Medical Center, Boston, MA
| | - Ephraim P. Hochberg
- Harvard Medical School, Boston, MA
- Department of Medical Oncology, Massachusetts General Hospital, Boston, MA
| | - Ronald W. Takvorian
- Harvard Medical School, Boston, MA
- Department of Medical Oncology, Massachusetts General Hospital, Boston, MA
| | - Jeremy S. Abramson
- Harvard Medical School, Boston, MA
- Department of Medical Oncology, Massachusetts General Hospital, Boston, MA
| | - Jennifer R. Brown
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
| | - Matthew S. Davids
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Harvard Medical School, Boston, MA
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6
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Rhodes JM. MRD-directed therapy in CLL: ready for prime time? HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2023; 2023:413-420. [PMID: 38066928 PMCID: PMC10727082 DOI: 10.1182/hematology.2023000441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
In recent years, the treatment paradigm for patients with chronic lymphocytic leukemia (CLL) has moved away from chemoimmunotherapy (CIT) toward the use of novel targeted agents. Commercially available drugs, including Bruton's tyrosine kinase inhibitors and the BCL2 inhibitor venetoclax, often used in combination with anti-CD20 monoclonal antibodies, are now the mainstay of therapy both in the frontline and in relapsed settings. As the landscape for CLL management evolves, therapeutic endpoints need to be redefined. Detection of measurable residual disease (MRD) is a sensitive tool to identify disease burden following treatment with several therapeutic regimens in CLL (including CIT, venetoclax-based regimens, and cellular therapies), and it has demonstrated prognostic value. Despite recent advances, the utility of MRD-directed therapy and attempts to eradicate it in routine clinical practice remain debated. There is little comparative data from clinical trials on the best assay to determine undetectable MRD (U-MRD) and whether its monitoring can lead to changes in treatment strategies. Our review discusses the definitions of MRD, assays for its detection, and its impact on long-term survival outcomes for patients with a CLL diagnosis.
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Affiliation(s)
- Joanna M. Rhodes
- Division of Blood Disorders, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ
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7
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Huber H, Tausch E, Schneider C, Edenhofer S, von Tresckow J, Robrecht S, Giza A, Zhang C, Fürstenau M, Dreger P, Ritgen M, Illmer T, Illert AL, Dürig J, Böttcher S, Niemann CU, Kneba M, Al-Sawaf O, Kreuzer KA, Fink AM, Fischer K, Döhner H, Hallek M, Eichhorst B, Stilgenbauer S. Final analysis of the CLL2-GIVe trial: obinutuzumab, ibrutinib, and venetoclax for untreated CLL with del(17p)/TP53mut. Blood 2023; 142:961-972. [PMID: 37363867 DOI: 10.1182/blood.2023020013] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 05/18/2023] [Accepted: 05/19/2023] [Indexed: 06/28/2023] Open
Abstract
The final analysis of the open-label, multicenter phase 2 CLL2-GIVe trial shows response and tolerability of the triple combination of obinutuzumab, ibrutinib, and venetoclax (GIVe regimen) in 41 previously untreated patients with high-risk chronic lymphocytic leukemia (CLL) with del(17p) and/or TP53 mutation. Induction consisted of 6 cycles of GIVe; venetoclax and ibrutinib were continued up to cycle 12 as consolidation. Ibrutinib was given until cycle 15 or up to cycle 36 in patients not achieving a complete response and with detectable minimal residual disease. The primary end point was the complete remission rate at cycle 15, which was achieved at 58.5% (95% CI, 42.1-73.7; P < .001). The last patient reached the end of the study in January 2022. After a median observation time of 38.4 months (range, 3.7-44.9), the 36-month progression-free survival was 79.9%, and the 36-month overall survival was 92.6%. Only 6 patients continued ibrutinib maintenance. Adverse events of concern were neutropenia (48.8%, grade ≥3) and infections (19.5%, grade ≥3). Cardiovascular toxicity grade 3 occurred as atrial fibrillation at a rate of 2.4% between cycles 1 and 12, as well as hypertension (4.9%) between cycles 1 and 6. The incidence of adverse events of any grade and grade ≥3 was highest during induction and decreased over time. Progressive disease was observed in 7 patients between cycles 27 and 42. In conclusion, the CLL2-GIVe regimen is a promising fixed-duration, first-line treatment for patients with high-risk CLL with a manageable safety profile.
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Affiliation(s)
- Henriette Huber
- Sektion CLL, Klinik für Innere Medizin III, Universitätsklinikum Ulm, Ulm, Germany
- Medizinische Klinik III, Städtisches Klinikum Karlsruhe, Karlsruhe, Germany
| | - Eugen Tausch
- Sektion CLL, Klinik für Innere Medizin III, Universitätsklinikum Ulm, Ulm, Germany
| | - Christof Schneider
- Sektion CLL, Klinik für Innere Medizin III, Universitätsklinikum Ulm, Ulm, Germany
| | - Simone Edenhofer
- Sektion CLL, Klinik für Innere Medizin III, Universitätsklinikum Ulm, Ulm, Germany
| | - Julia von Tresckow
- Department I of Internal Medicine and Center of Integrated Oncology Aachen Cologne Bonn Duesseldorf, University Hospital of Cologne, Cologne, Germany
- Clinic for Hematology and Stem Cell Transplantation, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Sandra Robrecht
- Department I of Internal Medicine and Center of Integrated Oncology Aachen Cologne Bonn Duesseldorf, University Hospital of Cologne, Cologne, Germany
| | - Adam Giza
- Department I of Internal Medicine and Center of Integrated Oncology Aachen Cologne Bonn Duesseldorf, University Hospital of Cologne, Cologne, Germany
| | - Can Zhang
- Department I of Internal Medicine and Center of Integrated Oncology Aachen Cologne Bonn Duesseldorf, University Hospital of Cologne, Cologne, Germany
| | - Moritz Fürstenau
- Department I of Internal Medicine and Center of Integrated Oncology Aachen Cologne Bonn Duesseldorf, University Hospital of Cologne, Cologne, Germany
| | - Peter Dreger
- Department Medicine V, University of Heidelberg, Heidelberg, Germany
| | - Matthias Ritgen
- Klinik für Innere Medizin II, Universitätsklinikum Schleswig-Holstein, Kiel, Germany
| | - Thomas Illmer
- Group Practice for Hematology and Oncology, Dresden, Germany
| | - Anna Lena Illert
- Department of Medicine I, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Jan Dürig
- Deptartment of Internal Medicine, St. Josef Krankenhaus Werden, University Medicine Essen, Essen, Germany
| | | | - Carsten U Niemann
- Department of Clinical Medicine, Rigshospitalet, Copenhagen, Denmark
| | - Michael Kneba
- Klinik für Innere Medizin II, Universitätsklinikum Schleswig-Holstein, Kiel, Germany
| | - Othman Al-Sawaf
- Department I of Internal Medicine and Center of Integrated Oncology Aachen Cologne Bonn Duesseldorf, University Hospital of Cologne, Cologne, Germany
| | - Karl-Anton Kreuzer
- Department I of Internal Medicine and Center of Integrated Oncology Aachen Cologne Bonn Duesseldorf, University Hospital of Cologne, Cologne, Germany
| | - Anna-Maria Fink
- Department I of Internal Medicine and Center of Integrated Oncology Aachen Cologne Bonn Duesseldorf, University Hospital of Cologne, Cologne, Germany
| | - Kirsten Fischer
- Department I of Internal Medicine and Center of Integrated Oncology Aachen Cologne Bonn Duesseldorf, University Hospital of Cologne, Cologne, Germany
| | - Hartmut Döhner
- Sektion CLL, Klinik für Innere Medizin III, Universitätsklinikum Ulm, Ulm, Germany
| | - Michael Hallek
- Department I of Internal Medicine and Center of Integrated Oncology Aachen Cologne Bonn Duesseldorf, University Hospital of Cologne, Cologne, Germany
| | - Barbara Eichhorst
- Department I of Internal Medicine and Center of Integrated Oncology Aachen Cologne Bonn Duesseldorf, University Hospital of Cologne, Cologne, Germany
| | - Stephan Stilgenbauer
- Sektion CLL, Klinik für Innere Medizin III, Universitätsklinikum Ulm, Ulm, Germany
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8
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Nguyen PC, Nguyen V, Baldwin K, Kankanige Y, Blombery P, Came N, Westerman DA. Computational flow cytometry provides accurate assessment of measurable residual disease in chronic lymphocytic leukaemia. Br J Haematol 2023; 202:760-770. [PMID: 37052611 DOI: 10.1111/bjh.18802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 03/27/2023] [Accepted: 03/28/2023] [Indexed: 04/14/2023]
Abstract
Undetectable measurable residual disease (MRD) is associated with favourable clinical outcomes in chronic lymphocytic leukaemia (CLL). While assessment is commonly performed using multiparameter flow cytometry (MFC), this approach is associated with limitations including user bias and expertise that may not be widely available. Implementation of unsupervised clustering algorithms in the laboratory can address these limitations and have not been previously reported in a systematic quantitative manner. We developed a computational pipeline to assess CLL MRD using FlowSOM. In the training step, a self-organising map was generated with nodes representing the full breadth of normal immature and mature B cells along with disease immunophenotypes. This map was used to detect MRD in multiple validation cohorts containing a total of 456 samples. This included an evaluation of atypical CLL cases and samples collected from two different laboratories. Computational MRD showed high correlation with expert analysis (Pearson's r > 0.99 for typical CLL). Binary classification of typical CLL samples as either MRD positive or negative demonstrated high concordance (>98%). Interestingly, computational MRD detected disease in a small number of atypical CLL cases in which MRD was not detected by expert analysis. These results demonstrate the feasibility and value of automated MFC analysis in a diagnostic laboratory.
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Affiliation(s)
- Phillip C Nguyen
- Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Vuong Nguyen
- Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Kylie Baldwin
- Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Yamuna Kankanige
- Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
| | - Piers Blombery
- Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
- Department of Clinical Haematology, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Neil Came
- Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
| | - David A Westerman
- Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
- Department of Clinical Haematology, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, Victoria, Australia
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9
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Rios-Olais FA, Hilal T. Measurable Residual Disease in Chronic Lymphocytic Leukemia: Current Understanding and Evolving Role in Clinical Practice. Curr Treat Options Oncol 2023:10.1007/s11864-023-01103-1. [PMID: 37195588 DOI: 10.1007/s11864-023-01103-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/25/2023] [Indexed: 05/18/2023]
Abstract
OPINION STATEMENT Treatment of chronic lymphocytic leukemia (CLL) has evolved dramatically during the last decade, from chemoimmunotherapy (CIT)-based therapies to newer B-cell receptor (BCR) signaling targeting agents, which are sometimes given as continuous schemes. Response to treatment was traditionally defined according to clinical variables designed to assign a response category. Interest in assessing for deeper responses in CLL by the means of measurable residual disease (MRD) testing has been the subject of research during the last several years. Analyses and sub-analyses of clinical trials have shown that achieving undetectable MRD (uMRD) in CLL is an important prognostic factor. In this review, we summarize the available evidence about MRD in CLL, from the various assays available for measurement, the compartment to test, the impact of reaching uMRD according to the treatment regimen, and the results of fixed duration treatment guided by MRD trials. Finally, we summarize how MRD can be incorporated in clinical practice and how it may guide fixed duration treatment in the future should evidence continue to accumulate in that direction.
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Affiliation(s)
| | - Talal Hilal
- Mayo Clinic, 5777 E. Mayo Boulevard, Phoenix, AZ, 85054, USA.
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10
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Johansson U, McIver-Brown N, Cullen M, Duetz C, Dunlop A, Oelschlägel U, Psarra K, Subirá D, Westers TM. The flow cytometry myeloid progenitor count: A reproducible parameter for diagnosis and prognosis of myelodysplastic syndromes. CYTOMETRY. PART B, CLINICAL CYTOMETRY 2023; 104:115-127. [PMID: 34931733 DOI: 10.1002/cyto.b.22048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 12/04/2021] [Accepted: 12/09/2021] [Indexed: 11/12/2022]
Abstract
BACKGROUND The bone marrow blast count is central to the diagnosis and monitoring of myelodysplastic syndromes (MDS). It is an independent risk factor for worse prognosis whether based on the morphology blast count or the flow cytometry (FC) myeloid progenitor (MyP) count. It is a principal population in FC MDS analysis also because once defined; it provides significant contributions to the overall FC MDS score. METHODS We elected to investigate inter-analyst agreement for the most fundamental parameter of the FC MDS diagnostic score: the MyP count. A common gating strategy was agreed and used by seven cytometrists for blind analysis of 34 routine bone marrows sent for MDS work-up. Additionally, we compared the results with a computational approach. RESULTS Concordance was excellent: Intraclass correlation was 0.993 whether measuring %MyP of total cells or CD45+ cells, and no significant difference was observed between files from different centers or for samples with abnormal MyP phenotypes. Computational and manual results were similar. Applying the common strategy to individual laboratories' control cohorts produced similar MyP reference ranges across centers. CONCLUSION The FC MyP count offers a reliable diagnostic and prognostic measurement in MDS. The use of manual and computational approaches side by side may allow for optimizing both strategies. Considering its known prognostic power, the MyP count could be considered a useful and reliable addition to existing prognostic scoring systems.
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Affiliation(s)
- Ulrika Johansson
- Haematological Malignancy Diagnostic Service, University Hospitals and Weston NHS Foundation Trust, Bristol, UK
| | - Neil McIver-Brown
- Molecular Pathology Department, Royal Bournemouth Hospital, University Hospitals Dorset NHS Foundation Trust, Bournemouth, UK
| | - Matthew Cullen
- Haematological Malignancy Diagnostic Service, St James's University Hospital, Leeds, UK
| | - Carolien Duetz
- Department of Haematology, Amsterdam University Medical Centres, VU University Medical Center, Amsterdam, The Netherlands
| | - Alan Dunlop
- Haematological Malignancy Diagnostic Centre, King's College Hospital NHS Foundation Trust, London, UK
| | - Uta Oelschlägel
- Department of Haematology, Medical Clinic and Policlinic I, University Hospital of TU Dresden, Dresden, Germany
| | - Katherina Psarra
- Department of Immunology and Histocompatibility, Evangelismos Hospital, Athens, Greece
| | - Dolores Subirá
- Department of Haematology, Hospital Universitario de Guadalajara, Guadalajara, Spain
| | - Theresia M Westers
- Department of Hematology, Amsterdam University Medical Centers, Location VU University Medical Center, Cancer Center Amsterdam, Amsterdam, The Netherlands
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11
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Fisher A, Goradia H, Martinez-Calle N, Patten PEM, Munir T. The evolving use of measurable residual disease in chronic lymphocytic leukemia clinical trials. Front Oncol 2023; 13:1130617. [PMID: 36910619 PMCID: PMC9992794 DOI: 10.3389/fonc.2023.1130617] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 02/10/2023] [Indexed: 02/24/2023] Open
Abstract
Measurable residual disease (MRD) status in chronic lymphocytic leukemia (CLL), assessed on and after treatment, correlates with increased progression-free and overall survival benefit. More recently, MRD assessment has been included in large clinical trials as a primary outcome and is increasingly used in routine practice as a prognostic tool, a therapeutic goal, and potentially a trigger for early intervention. Modern therapy for CLL delivers prolonged remissions, causing readout of traditional trial outcomes such as progression-free and overall survival to be inherently delayed. This represents a barrier for the rapid incorporation of novel drugs to the overall therapeutic armamentarium. MRD offers a dynamic and robust platform for the assessment of treatment efficacy in CLL, complementing traditional outcome measures and accelerating access to novel drugs. Here, we provide a comprehensive review of recent major clinical trials of CLL therapy, focusing on small-molecule inhibitors and monoclonal antibody combinations that have recently emerged as the standard frontline and relapse treatment options. We explore the assessment and reporting of MRD (including novel techniques) and the challenges of standardization and provide a comprehensive review of the relevance and adequacy of MRD as a clinical trial endpoint. We further discuss the impact that MRD data have on clinical decision-making and how it can influence a patient's experience. Finally, we evaluate how upcoming trial design and clinical practice are evolving in the face of MRD-driven outcomes.
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Affiliation(s)
- A. Fisher
- Division of Cancer Studies and Pathology, University of Leeds, Leeds, United Kingdom
- Department of Haematology, Leeds Teaching Hospitals National Health Service (NHS) Trust, Leeds, United Kingdom
| | - H. Goradia
- Department of Haematology, Nottingham University Hospitals National Health Service (NHS) Trust, Nottingham, United Kingdom
| | - N. Martinez-Calle
- Department of Haematology, Nottingham University Hospitals National Health Service (NHS) Trust, Nottingham, United Kingdom
| | - PEM. Patten
- Department of Haematology, Kings College Hospital National Health Service (NHS) Foundation Trust, London, United Kingdom
- Comprehensive Cancer Centre, Faculty of Life Sciences and Medicine, King’s College London, London, United Kingdom
| | - T. Munir
- Department of Haematology, Leeds Teaching Hospitals National Health Service (NHS) Trust, Leeds, United Kingdom
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12
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Benintende G, Pozzo F, Innocenti I, Autore F, Fresa A, D’Arena G, Gattei V, Lurenti L. Measurable residual disease in chronic lymphocytic leukemia. Front Oncol 2023; 13:1112616. [PMID: 36865804 PMCID: PMC9971803 DOI: 10.3389/fonc.2023.1112616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 01/24/2023] [Indexed: 02/16/2023] Open
Abstract
Measurable residual disease (MRD) is defined as the presence of residual cancer cells after treatment in patients with clinically undetectable disease, who would otherwise be considered in complete remission. It is a highly sensitive parameter which indicates the disease burden and predicts survival in this setting of patients. In recent years, MRD has gained a role in many hematological malignancies as a surrogate endpoint for clinical trials: undetectable MRD has been correlated to longer progression free survival (PFS) and overall survival (OS). New drugs and combinations have been developed with the aim to achieve MRD negativity, which would indicate favorable prognosis. Different methods to measure MRD have also been devised, which include flow cytometry, polymerase chain reaction (PCR) and next generation sequencing (NGS), with different sensitivity and accuracy in evaluating deep remission after treatment. In this review, we will analyze the current recommendations for the detection of MRD, with particular focus on its role in Chronic Lymphocytic Leukemia (CLL), as well as the different detection methods. Moreover, we will discuss the results of clinical trials and the role of MRD in new therapeutic schemes with inhibitors and monoclonal antibodies. MRD is not currently used in the clinical practice to evaluate response to treatment, due to technical and economical limitations, but it's gaining more and more interest in trials settings, especially since the introduction of venetoclax. The use of MRD in trials will likely be followed by a broader practical application in the future. The aim of this work is to provide a reader-friendly summary of the state of art in the field, as MRD will soon become an accessible tool to evaluate our patients, predict their survival and guide physician's therapeutic choices and preferences.
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Affiliation(s)
- Giulia Benintende
- Sezione di Ematologia, Dipartimento di Scienze Radiologiche ed Ematologiche, Università Cattolica del Sacro Cuore, Rome, Italy,*Correspondence: Giulia Benintende,
| | - Federico Pozzo
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO) Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Aviano, Italy
| | - Idanna Innocenti
- Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Francesco Autore
- Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Alberto Fresa
- Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Giovanni D’Arena
- “San Luca” Hospital, Azienda Sanitaria Locale (ASL) Salerno, Salerno, Italy
| | - Valter Gattei
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO) Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Aviano, Italy
| | - Luca Lurenti
- Sezione di Ematologia, Dipartimento di Scienze Radiologiche ed Ematologiche, Università Cattolica del Sacro Cuore, Rome, Italy
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13
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Detecting measurable residual disease beyond 10-4 by an IGHV leader-based NGS approach improves prognostic stratification in CLL. Blood 2023; 141:519-528. [PMID: 36084320 DOI: 10.1182/blood.2022017411] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 08/02/2022] [Accepted: 08/02/2022] [Indexed: 02/07/2023] Open
Abstract
The sensitivity of conventional techniques for reliable quantification of minimal/measurable residual disease (MRD) in chronic lymphocytic leukemia (CLL) is limited to MRD 10-4. Measuring MRD <10-4 could help to further distinguish between patients with CLL with durable remission and those at risk of early relapse. We herein present an academically developed immunoglobulin heavy-chain variable (IGHV) leader-based next-generation sequencing (NGS) assay for the quantification of MRD in CLL. We demonstrate, based on measurements in contrived MRD samples, that the linear range of detection and quantification of our assay reaches beyond MRD 10-5. If provided with sufficient DNA input, MRD can be detected down to MRD 10-6. There was high interassay concordance between measurements of the IGHV leader-based NGS assay and allele-specific oligonucleotide quantitative polymerase chain reaction (PCR) (r = 0.92 [95% confidence interval {CI}, 0.86-0.96]) and droplet digital PCR (r = 0.93 [95% CI, 0.88-0.96]) on contrived MRD samples. In a cohort of 67 patients from the CLL11 trial, using MRD 10-5 as a cutoff, undetectable MRD was associated with superior progression-free survival (PFS) and time to next treatment. More important, deeper MRD measurement allowed for additional stratification of patients with MRD <10-4 but ≥10-5. PFS of patients in this MRD range was significantly shorter, compared with patients with MRD <10-5 (hazard ratio [HR], 4.0 [95% CI, 1.6-10.3]; P = .004), but significantly longer, compared with patients with MRD ≥10-4 (HR, 0.44 [95% CI, 0.23-0.87]; P = .018). These results support the clinical utility of the IGHV leader-based NGS assay.
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14
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D'Arena G, Sgambato A, Volpe S, Coppola G, Amodeo R, Tirino V, D'Auria F, Statuto T, Valvano L, Pietrantuono G, Deaglio S, Efremov D, Laurenti L, Aiello A. Flow cytometric evaluation of measurable residual disease in chronic lymphocytic leukemia: Where do we stand? Hematol Oncol 2022; 40:835-842. [PMID: 35667043 DOI: 10.1002/hon.3037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 05/09/2022] [Accepted: 05/21/2022] [Indexed: 12/13/2022]
Abstract
Measurable residual disease (MRD) has emerged as a relevant parameter of response to therapy in chronic lymphocytic leukemia (CLL). Although several methods have been developed, flow cytometry has emerged as the most useful and standardized approach to measure and quantify MRD. The improved sensitivity of MRD measurements has been paralleled by the development of more effective therapeutic strategies for CLL, increasing the applicability of MRD detection in this setting. Chemotherapy and chemoimmunotherapy have firstly demonstrated their ability to obtain a deep MRD. Combined targeted therapies are also demonstrating a high molecular response rate and prospective trials are exploring the role of MRD to guide the duration of treatment in this setting. In this review we briefly summarize what we have learned about MRD with emphasis on its flow cytometric detection.
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Affiliation(s)
- Giovanni D'Arena
- Hematology and Stem Cell Transplantation Unit, IRCCS Centro di Riferimento Oncologico della Basilicata, Rionero in Vulture, Italy
| | - Alessandro Sgambato
- Scientific Direction, IRCCS Centro di Riferimento Oncologico della Basilicata, Rionero in Vulture, Italy
| | - Silvestro Volpe
- Immunohematology Unit, AORN Giuseppe Moscati, Avellino, Italy
| | - Giuseppe Coppola
- Immunohematology Unit, AOU San Giovanni di Dio e Ruggi d'Aragona, Salerno, Italy
| | - Rachele Amodeo
- Flow Cytometry Unit, Clinical Laboratory, Sant'Andrea Hospital, Roma, Italy
| | - Virginia Tirino
- Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Napoli, Italy
| | - Fiorella D'Auria
- Laboratory of Clinical and Advanced Diagnostics, IRCCS Centro di Riferimento Oncologico della Basilicata, Rionero in Vulture, Italy
| | - Teodora Statuto
- Laboratory of Clinical and Advanced Diagnostics, IRCCS Centro di Riferimento Oncologico della Basilicata, Rionero in Vulture, Italy
| | - Luciana Valvano
- Laboratory of Clinical and Advanced Diagnostics, IRCCS Centro di Riferimento Oncologico della Basilicata, Rionero in Vulture, Italy
| | - Giuseppe Pietrantuono
- Hematology and Stem Cell Transplantation Unit, IRCCS Centro di Riferimento Oncologico della Basilicata, Rionero in Vulture, Italy
| | - Silvia Deaglio
- Department of Medical Sciences, University of Torino, Torino, Italy
| | - Dimitar Efremov
- Molecular Hematology, International Center for Genetic Engineering and Biotechnology, Trieste, Italy
| | - Luca Laurenti
- Hematology Unit, IRCCS Fondazione Policlinico Gemelli, Catholic University of "Sacred Heart", Roma, Italy
| | - Antonella Aiello
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milano, Italy
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15
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Munir T, Emmerson J, Hockaday A, Oughton JB, Howard D, Phillips D, Neilson J, Pemberton N, Paneesha S, Kennedy B, Rawstron A, Hillmen P. Obinutuzumab as consolidation after chemo-immunotherapy: Results of the UK National Cancer Research Institute phase II/III GALACTIC trial. Br J Haematol 2022; 199:707-719. [PMID: 36017875 DOI: 10.1111/bjh.18427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 08/04/2022] [Accepted: 08/12/2022] [Indexed: 01/07/2023]
Abstract
The GA101 (obinutuzumab) monocLonal Antibody as Consolidation Therapy In chronic lymphocytic leukaemia (CLL) (GALACTIC) was a seamless phase II/III trial designed to test whether consolidation with obinutuzumab is safe and eradicates minimal residual disease (MRD) and, subsequently, whether this leads to prolonged progression-free survival (PFS) in patients with CLL who have recently responded to chemo-immunotherapy. Patients with a response 3-24 months after chemotherapy were assessed for MRD. MRD-positive patients were randomised to receive consolidation therapy with obinutuzumab or no consolidation. The trial closed after the phase II part due to slow recruitment. In all, 48 patients enrolled of whom 19 were MRD negative and were monitored. Of the 29 MRD-positive patients, 14 were randomised to receive consolidation and 15 to no consolidation. At 6 months after randomisation, 10 and 13 consolidated patients achieved MRD negativity by flow cytometry (sensitivity 10-4 ) in bone marrow and peripheral blood respectively. PFS was significantly better in consolidated patients compared to non-consolidated patients (p = 0.001). No difference was observed in PFS, overall survival or duration of MRD negativity when comparing the 10 MRD-negative patients after consolidation with the 19 MRD-negative patients in the monitoring group. Common adverse events in the consolidation arm were thrombocytopenia, infection, and cough. Only 1% of events were infusion-related reactions. This observation provides further evidence that consolidation to achieve MRD negativity improves outcomes in CLL and that obinutuzumab is well tolerated in patients with low levels of disease.
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Affiliation(s)
- Talha Munir
- St James's Institute of Oncology, St James's University Hospital, Leeds, UK
| | - Jake Emmerson
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
| | - Anna Hockaday
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
| | - Jamie B Oughton
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
| | - Dena Howard
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
| | - David Phillips
- Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
| | | | | | | | | | - Andy Rawstron
- Haematological Malignancy Diagnostic Service, St James's Institute of Oncology, St James's University Hospital, Leeds, UK
| | - Peter Hillmen
- St James's Institute of Oncology, St James's University Hospital, Leeds, UK
- Section of Experimental Haematology, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
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16
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Condoluci A, Milan L, Forestieri G, Terzi di Bergamo L, Spina V, Bruscaggin A, Deambrogi C, Moia R, Deodato M, Fahrni G, Mattarucchi R, Merli M, Gerber B, Stussi G, Passamonti F, Gregor M, Tedeschi A, Gaidano G, Rossi D, Ceriani L. Anatomical heterogeneity of residual disease in chronic lymphocytic leukemia treated with ibrutinib. Hematol Oncol 2022; 40:1105-1108. [PMID: 35656838 DOI: 10.1002/hon.3039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Affiliation(s)
- Adalgisa Condoluci
- Clinic of Hematology, Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Bellinzona, Switzerland.,Laboratory of Experimental Hematology, Institute of Oncology Research, Bellinzona, Switzerland
| | - Lisa Milan
- Clinic for Nuclear Medicine and Molecular Imaging, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland
| | - Gabriela Forestieri
- Laboratory of Experimental Hematology, Institute of Oncology Research, Bellinzona, Switzerland
| | | | - Valeria Spina
- Laboratory of Experimental Hematology, Institute of Oncology Research, Bellinzona, Switzerland
| | - Alessio Bruscaggin
- Laboratory of Experimental Hematology, Institute of Oncology Research, Bellinzona, Switzerland
| | - Clara Deambrogi
- Department of Translational Medicine, Division of Hematology, University of Eastern Piedmont, Novara, Italy
| | - Riccardo Moia
- Department of Translational Medicine, Division of Hematology, University of Eastern Piedmont, Novara, Italy
| | - Marina Deodato
- Department of Hematology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Gaby Fahrni
- Division of Hematology, Cantonal Hospital of Lucerne, Lucerne, Switzerland
| | - Roberta Mattarucchi
- Ospedale di Circolo of Varese & Department of Medicine and Surgery, Hematology, University of Insubria, Varese, Italy
| | - Michele Merli
- Ospedale di Circolo of Varese & Department of Medicine and Surgery, Hematology, University of Insubria, Varese, Italy
| | - Bernhard Gerber
- Clinic of Hematology, Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Bellinzona, Switzerland.,University of Zurich, Zurich, Switzerland
| | - Georg Stussi
- Clinic of Hematology, Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Bellinzona, Switzerland.,Faculty of Biomedical Sciences, Università della Svizzera italiana, Lugano, Switzerland
| | - Francesco Passamonti
- Ospedale di Circolo of Varese & Department of Medicine and Surgery, Hematology, University of Insubria, Varese, Italy
| | - Michael Gregor
- Division of Hematology, Cantonal Hospital of Lucerne, Lucerne, Switzerland
| | - Alessandra Tedeschi
- Department of Hematology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Gianluca Gaidano
- Department of Translational Medicine, Division of Hematology, University of Eastern Piedmont, Novara, Italy
| | - Davide Rossi
- Clinic of Hematology, Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Bellinzona, Switzerland.,Laboratory of Experimental Hematology, Institute of Oncology Research, Bellinzona, Switzerland.,Faculty of Biomedical Sciences, Università della Svizzera italiana, Lugano, Switzerland
| | - Luca Ceriani
- Clinic for Nuclear Medicine and Molecular Imaging, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland.,Faculty of Biomedical Sciences, Università della Svizzera italiana, Lugano, Switzerland
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17
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Aren M, Marce S, Jurado R, Tapia G, Puigdefabregues L, Raya M, Cortes M, Garcia-Caro M, Junca J, Mozas P, Viñets E, Cabezon M, Plensa E, Miljkovic M, Sancho JM, Navarro JT, Zamora L, Sorigue M. Flow cytometry to detect bone marrow involvement by follicular lymphoma. CYTOMETRY. PART B, CLINICAL CYTOMETRY 2022; 102:427-439. [PMID: 36314855 DOI: 10.1002/cyto.b.22098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 10/06/2022] [Accepted: 10/18/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND High-quality data on bone marrow involvement (BMI) assessed by flow cytometry (FC) in follicular lymphoma (FL) is lacking. AIMS We set up a prospective protocol with a 10-color tube and acquisition of 500.000 leukocytes on a Nav flow cytometer for evaluation of BMI in FL by FC. MATERIALS AND METHODS FC was compared with a combination of histopathology and IGH gene rearrangement, which were considered the gold standard. We also compared BMI by FC with PET. RESULTS Fifty-two patients were included (median 67 years, 54% female). BMI by FC was seen in 35 (67%), with a median involvement of 1.2% (interquartile range: 0.3%-7%) of leukocytes. Comparison with the gold standard revealed two false negatives and two false positives (potentially true involvement undetected by the gold standard). BMI by PET was seen in 14/46 (30%). Immunophenotype of FL in the bone marrow was highly heterogeneous. The most common phenotypic abnormality was dim expression of CD19 (>0.5 log loss in 30% of patients). CD10 was negative in 13 (37%) and incompletely positive (overlap with the negative population) in a further 8 (28%) while entirely positive only in 14 (48%). Other abnormalities (loss of CD20, gain or loss of CD79b, expression of CD43, and substantial loss of CD45) were rare. Computational analysis by means of FlowSOM confirmed the heterogeneous phenotype, with FL from different patients clustering in unrelated metaclusters. CONCLUSION BMI by FL was frequent and immunophenotype was heterogeneous. However, this protocol enabled detection of FL in bone marrow in the vast majority of patients with bone marrow involvement by the gold standard.
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Affiliation(s)
- Mercè Aren
- Department of Hematology, ICO-IJC-Hospital Germans Trias i Pujol, UAB, Badalona, Spain.,Hematology Laboratory, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - Silvia Marce
- Hematology Laboratory, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - Rebeca Jurado
- Department of Hematology, ICO-IJC-Hospital Germans Trias i Pujol, UAB, Badalona, Spain.,Hematology Laboratory, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - Gustavo Tapia
- Department of Pathology, Hospital Germans Trias i Pujol, Badalona, Spain
| | - Lluís Puigdefabregues
- Hematology Laboratory, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - Minerva Raya
- Hematology Laboratory, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - Montserrat Cortes
- Nuclear Medicine Department-IDI, Hospital Universitario de Bellvitge-IDIBELL, Barcelona, Spain
| | | | - Jordi Junca
- Hematology Laboratory, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - Pablo Mozas
- Department of Hematology, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Esther Viñets
- Hematology Laboratory, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - Marta Cabezon
- Hematology Laboratory, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - Esther Plensa
- Department of Hematology, ICO-Mataro, Badalona, Spain
| | | | - Juan-Manuel Sancho
- Department of Hematology, ICO-IJC-Hospital Germans Trias i Pujol, UAB, Badalona, Spain
| | - José-Tomas Navarro
- Department of Hematology, ICO-IJC-Hospital Germans Trias i Pujol, UAB, Badalona, Spain.,Hematology Laboratory, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - Lurdes Zamora
- Hematology Laboratory, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
| | - Marc Sorigue
- Department of Hematology, ICO-IJC-Hospital Germans Trias i Pujol, UAB, Badalona, Spain.,Hematology Laboratory, ICO-IJC-Hospital Germans Trias i Pujol, LUMN, UAB, Badalona, Spain
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18
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Fürstenau M, Weiss J, Giza A, Franzen F, Robrecht S, Fink AM, Fischer K, Schneider C, Tausch E, Stilgenbauer S, Ritgen M, Schilhabel A, Brüggemann M, Eichhorst B, Hallek M, Cramer P. Circulating Tumor DNA-Based MRD Assessment in Patients with CLL Treated with Obinutuzumab, Acalabrutinib, and Venetoclax. Clin Cancer Res 2022; 28:4203-4211. [PMID: 35594173 DOI: 10.1158/1078-0432.ccr-22-0433] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 04/12/2022] [Accepted: 05/17/2022] [Indexed: 12/14/2022]
Abstract
PURPOSE With the advent of highly efficacious time-limited combination treatments of targeted agents in chronic lymphocytic leukemia (CLL), minimal residual disease (MRD) assessment has gained importance as a measure for therapeutic success and as a surrogate for progression-free survival. The currently most widely used method is multicolor flow cytometry, which detects circulating CLL cells in the peripheral blood. However, it seems to be less sensitive for the detection of MRD in the lymph node compartment. PATIENTS AND METHODS To evaluate whether a cell-free approach can overcome this limitation, we performed serial assessments of circulating tumor DNA (ctDNA) in patients with CLL treated with obinutuzumab, acalabrutinib, and venetoclax in the phase II CLL2-BAAG trial. Patient-specific variability, diversity, joining (VDJ) rearrangements as well as somatic driver mutations were tracked before, during and after treatment by digital droplet PCR in blood plasma. Furthermore, these were systematically compared to matched flow cytometry data. RESULTS In the 381 sample pairs, ctDNA and flow cytometry yielded highly concordant results. However, clone-specific ctDNA was detected in 44 of 152 samples (29%) that were assessed as undetectable MRD (uMRD) by flow cytometry (defined as less than one CLL cell in 10,000 normal leukocytes). 29 ctDNA-negative samples showed detectable MRD >10-4 by flow cytometry. Also, somatic driver mutations were detected with a similar sensitivity compared with patient-specific VDJ rearrangements in plasma. In patients with predominantly nodal residual disease, ctDNA compared favorably with 4-color flow cytometry and seemed to more accurately reflect the entire disease burden across compartments. CONCLUSIONS On the basis of these findings, ctDNA-based MRD assessment appears to be a promising method to complement cell-based MRD approaches like flow cytometry that focus on circulating CLL cells in the peripheral blood.
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MESH Headings
- Antibodies, Monoclonal, Humanized
- Benzamides
- Bridged Bicyclo Compounds, Heterocyclic
- Circulating Tumor DNA/genetics
- Humans
- Leukemia, Lymphocytic, Chronic, B-Cell/diagnosis
- Leukemia, Lymphocytic, Chronic, B-Cell/drug therapy
- Leukemia, Lymphocytic, Chronic, B-Cell/genetics
- Neoplasm, Residual/diagnosis
- Neoplasm, Residual/drug therapy
- Neoplasm, Residual/genetics
- Pyrazines
- Sulfonamides
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Affiliation(s)
- Moritz Fürstenau
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne and Dusseldorf, German CLL Study Group, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Jonathan Weiss
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne and Dusseldorf, German CLL Study Group, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Adam Giza
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne and Dusseldorf, German CLL Study Group, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Fabian Franzen
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne and Dusseldorf, German CLL Study Group, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Sandra Robrecht
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne and Dusseldorf, German CLL Study Group, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Anna-Maria Fink
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne and Dusseldorf, German CLL Study Group, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Kirsten Fischer
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne and Dusseldorf, German CLL Study Group, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Christof Schneider
- Division of CLL, Department of Internal Medicine III, University of Ulm, Ulm, Germany
| | - Eugen Tausch
- Division of CLL, Department of Internal Medicine III, University of Ulm, Ulm, Germany
| | - Stephan Stilgenbauer
- Division of CLL, Department of Internal Medicine III, University of Ulm, Ulm, Germany
| | - Matthias Ritgen
- Department of Internal Medicine II, Faculty of Medicine, University of Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Anke Schilhabel
- Department of Internal Medicine II, Faculty of Medicine, University of Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Monika Brüggemann
- Department of Internal Medicine II, Faculty of Medicine, University of Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Barbara Eichhorst
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne and Dusseldorf, German CLL Study Group, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Michael Hallek
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne and Dusseldorf, German CLL Study Group, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Paula Cramer
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne and Dusseldorf, German CLL Study Group, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
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19
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Wierda WG, Brown J, Abramson JS, Awan F, Bilgrami SF, Bociek G, Brander D, Chanan-Khan AA, Coutre SE, Davis RS, Eradat H, Fletcher CD, Gaballa S, Ghobadi A, Hamid MS, Hernandez-Ilizaliturri F, Hill B, Kaesberg P, Kamdar M, Kaplan LD, Khan N, Kipps TJ, Ma S, Mato A, Mosse C, Schuster S, Siddiqi T, Stephens DM, Ujjani C, Wagner-Johnston N, Woyach JA, Ye JC, Dwyer MA, Sundar H. NCCN Guidelines® Insights: Chronic Lymphocytic Leukemia/Small Lymphocytic Lymphoma, Version 3.2022. J Natl Compr Canc Netw 2022; 20:622-634. [PMID: 35714675 DOI: 10.6004/jnccn.2022.0031] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The treatment landscape of chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) has significantly evolved in recent years. Targeted therapy with Bruton's tyrosine kinase (BTK) inhibitors and BCL-2 inhibitors has emerged as an effective chemotherapy-free option for patients with previously untreated or relapsed/refractory CLL/SLL. Undetectable minimal residual disease after the end of treatment is emerging as an important predictor of progression-free and overall survival for patients treated with fixed-duration BCL-2 inhibitor-based treatment. These NCCN Guidelines Insights discuss the updates to the NCCN Guidelines for CLL/SLL specific to the use of chemotherapy-free treatment options for patients with treatment-naïve and relapsed/refractory disease.
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Affiliation(s)
| | | | | | - Farrukh Awan
- UT Southwestern Simmons Comprehensive Cancer Center
| | | | | | | | | | | | | | | | | | | | - Armin Ghobadi
- Siteman Cancer Center at Barnes-Jewish Hospital and Washington University School of Medicine
| | - Muhammad Saad Hamid
- St. Jude Children's Research Hospital/The University of Tennessee Health Science Center
| | | | - Brian Hill
- Case Comprehensive Cancer Center/University Hospitals Seidman Cancer Center and Cleveland Clinic Taussig Cancer Institute
| | | | | | | | | | | | - Shuo Ma
- Robert H. Lurie Comprehensive Cancer Center of Northwestern University
| | | | | | | | | | | | - Chaitra Ujjani
- Fred Hutchinson Cancer Research Center/Seattle Cancer Care Alliance
| | | | - Jennifer A Woyach
- The Ohio State University Comprehensive Cancer Center - James Cancer Hospital and Solove Research Institute
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20
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Kater AP, Levin MD, Dubois J, Kersting S, Enggaard L, Veldhuis GJ, Mous R, Mellink CHM, van der Kevie-Kersemaekers AMF, Dobber JA, Poulsen CB, Frederiksen H, Janssens A, Schjødt I, Dompeling EC, Ranti J, Brieghel C, Mattsson M, Bellido M, Tran HTT, Nasserinejad K, Niemann CU. Minimal residual disease-guided stop and start of venetoclax plus ibrutinib for patients with relapsed or refractory chronic lymphocytic leukaemia (HOVON141/VISION): primary analysis of an open-label, randomised, phase 2 trial. Lancet Oncol 2022; 23:818-828. [DOI: 10.1016/s1470-2045(22)00220-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 04/05/2022] [Accepted: 04/06/2022] [Indexed: 11/25/2022]
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21
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Paramithiotis E, Sugden S, Papp E, Bonhomme M, Chermak T, Crawford SY, Demetriades SZ, Galdos G, Lambert BL, Mattison J, McDade T, Pillet S, Murphy R. Cellular Immunity Is Critical for Assessing COVID-19 Vaccine Effectiveness in Immunocompromised Individuals. Front Immunol 2022; 13:880784. [PMID: 35693815 PMCID: PMC9179228 DOI: 10.3389/fimmu.2022.880784] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 04/12/2022] [Indexed: 12/28/2022] Open
Abstract
COVID-19 vaccine clinical development was conducted with unprecedented speed. Immunity measurements were concentrated on the antibody response which left significant gaps in our understanding how robust and long-lasting immune protection develops. Better understanding the cellular immune response will fill those gaps, especially in the elderly and immunocompromised populations which not only have the highest risk for severe infection, but also frequently have inadequate antibody responses. Although cellular immunity measurements are more logistically complex to conduct for clinical trials compared to antibody measurements, the feasibility and benefit of doing them in clinical trials has been demonstrated and so should be more widely adopted. Adding significant cellular response metrics will provide a deeper understanding of the overall immune response to COVID-19 vaccination, which will significantly inform vaccination strategies for the most vulnerable populations. Better monitoring of overall immunity will also substantially benefit other vaccine development efforts, and indeed any therapies that involve the immune system as part of the therapeutic strategy.
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Affiliation(s)
| | - Scott Sugden
- Scientific Team, CellCarta, Montreal, QC, Canada
| | - Eszter Papp
- Global Research and Development, CellCarta, Montreal, QC, Canada
| | - Marie Bonhomme
- Vaccine Sciences Division, Pharmaceutical Product Development (PPD) Inc., Wilmington, NC, United States
| | - Todd Chermak
- Regulatory and Government Affairs, CellCarta, Montreal, QC, Canada
| | - Stephanie Y. Crawford
- Department of Pharmacy Systems, Outcomes and Policy, University of Illinois Chicago, Chicago, IL, United States
| | | | - Gerson Galdos
- Robert J. Havey, MD Institute for Global Health, Northwestern University, Chicago, IL, United States
| | - Bruce L. Lambert
- Center for Communication and Health, Northwestern University, Evanston, IL, United States
| | - John Mattison
- Health Information, Kaiser Permanente, Pasadena, CA, United States
- Health Technology Advisory Board, Arsenal Capital, New York, NY, United States
| | - Thomas McDade
- Department of Anthropology, Northwestern University, Evanston, IL, United States
| | | | - Robert Murphy
- Robert J. Havey, MD Institute for Global Health, Northwestern University, Chicago, IL, United States
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22
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Salama ME, Otteson GE, Camp JJ, Seheult JN, Jevremovic D, Holmes DR, Olteanu H, Shi M. Artificial Intelligence Enhances Diagnostic Flow Cytometry Workflow in the Detection of Minimal Residual Disease of Chronic Lymphocytic Leukemia. Cancers (Basel) 2022; 14:cancers14102537. [PMID: 35626140 PMCID: PMC9139233 DOI: 10.3390/cancers14102537] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 05/17/2022] [Accepted: 05/18/2022] [Indexed: 02/05/2023] Open
Abstract
Flow cytometric (FC) immunophenotyping is critical but time-consuming in diagnosing minimal residual disease (MRD). We evaluated whether human-in-the-loop artificial intelligence (AI) could improve the efficiency of clinical laboratories in detecting MRD in chronic lymphocytic leukemia (CLL). We developed deep neural networks (DNN) that were trained on a 10-color CLL MRD panel from treated CLL patients, including DNN trained on the full cohort of 202 patients (F-DNN) and DNN trained on 138 patients with low-event cases (MRD < 1000 events) (L-DNN). A hybrid DNN approach was utilized, with F-DNN and L-DNN applied sequentially to cases. “Ground truth” classification of CLL MRD was confirmed by expert analysis. The hybrid DNN approach demonstrated an overall accuracy of 97.1% (95% CI: 84.7−99.9%) in an independent cohort of 34 unknown samples. When CLL cells were reported as a percentage of total white blood cells, there was excellent correlation between the DNN and expert analysis [r > 0.999; Passing−Bablok slope = 0.997 (95% CI: 0.988−0.999) and intercept = 0.001 (95% CI: 0.000−0.001)]. Gating time was dramatically reduced to 12 s/case by DNN from 15 min/case by the manual process. The proposed DNN demonstrated high accuracy in CLL MRD detection and significantly improved workflow efficiency. Additional clinical validation is needed before it can be fully integrated into the existing clinical laboratory practice.
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Affiliation(s)
- Mohamed E. Salama
- Division of Hematopathology, Mayo Clinic, Rochester, MN 55905, USA; (M.E.S.); (G.E.O.); (J.N.S.); (D.J.); (H.O.)
| | - Gregory E. Otteson
- Division of Hematopathology, Mayo Clinic, Rochester, MN 55905, USA; (M.E.S.); (G.E.O.); (J.N.S.); (D.J.); (H.O.)
| | - Jon J. Camp
- Biomedical Imaging, Mayo Clinic, Rochester, MN 55905, USA; (J.J.C.); (D.R.H.III)
| | - Jansen N. Seheult
- Division of Hematopathology, Mayo Clinic, Rochester, MN 55905, USA; (M.E.S.); (G.E.O.); (J.N.S.); (D.J.); (H.O.)
| | - Dragan Jevremovic
- Division of Hematopathology, Mayo Clinic, Rochester, MN 55905, USA; (M.E.S.); (G.E.O.); (J.N.S.); (D.J.); (H.O.)
| | - David R. Holmes
- Biomedical Imaging, Mayo Clinic, Rochester, MN 55905, USA; (J.J.C.); (D.R.H.III)
| | - Horatiu Olteanu
- Division of Hematopathology, Mayo Clinic, Rochester, MN 55905, USA; (M.E.S.); (G.E.O.); (J.N.S.); (D.J.); (H.O.)
| | - Min Shi
- Division of Hematopathology, Mayo Clinic, Rochester, MN 55905, USA; (M.E.S.); (G.E.O.); (J.N.S.); (D.J.); (H.O.)
- Correspondence: ; Tel.: +1-507-284-2396
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23
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Buccisano F, Palmieri R, Piciocchi A, Arena V, Maurillo L, Del Principe MI, Paterno G, Irno-Consalvo MA, Ottone T, Divona M, Conti C, Fraboni D, Lavorgna S, Arcese W, Voso MT, Venditti A. Clinical relevance of an objective flow cytometry approach based on limit of detection and limit of quantification for measurable residual disease assessment in acute myeloid leukemia. A post-hoc analysis of the GIMEMA AML1310 trial. Haematologica 2022; 107:2823-2833. [PMID: 35295076 PMCID: PMC9713557 DOI: 10.3324/haematol.2021.279777] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Indexed: 12/14/2022] Open
Abstract
Using a multiparametric flow cytometry assay, we assessed the predictive power of a threshold calculated applying the criteria of limit of detection (LOD) and limit of quantitation (LOQ) in adult patients with acute myeloid leukemia. This was a post-hoc analysis of 261 patients enrolled in the GIMEMA AML1310 prospective trial. According to the protocol design, using the predefined measurable residual disease (MRD) threshold of 0.035% bone marrow residual leukemic cells (RLC) calculated on mononuclear cells, 154 (59%) of the 261 patients were negative (MRD <0.035%) and 107 (41%) were positive (MRD ≥0.035%). Using LOD and LOQ, we selected the following categories of patients: (i) LODneg if RLC were below the LOD (74; 28.4%); (ii) LODpos-LOQneg if RLC were between the LOD and LOQ (43; 16.5%); and (iii) LOQpos if RLC were above the LOQ (144; 54.4%). Two-year overall survival of these three categories of patients was 75.4%, 79.8% and 66.4%, respectively (P=0.1197). Given their superimposable outcomes, the LODneg and LODpos-LOQneg categories were combined. Two-year overall survival of LODneg/LODpos-LOQneg patients was 77.0% versus 66.4% of LOQpos individuals (P=0.043). This figure was challenged in univariate analysis (P=0.046, hazard ratio=1.6, 95% confidence interval: 1.01-2.54) which confirmed the independent role of the LOD-LOQ approach in determining overall survival. In the AML1310 protocol, using the threshold of 0.035%, 2-year overall survival of patients with MRD <0.035% and MRD ≥0.035% was 74.5% versus 66.4%, respectively (P=0.3521). In conclusion, the use of the LOD-LOQ method results in more sensitive detection of MRD that, in turn, translates into a more accurate recognition of patients with different outcomes.
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Affiliation(s)
- Francesco Buccisano
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma,FB and RP contributed equally as co-first authors
| | - Raffaele Palmieri
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma,FB and RP contributed equally as co-first authors
| | | | | | - Luca Maurillo
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma
| | | | | | | | - Tiziana Ottone
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma
| | - Mariadomenica Divona
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma
| | - Consuelo Conti
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma
| | - Daniela Fraboni
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma
| | - Serena Lavorgna
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma
| | - William Arcese
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma,Rome Transplant Network, Rome, Italy
| | - Maria Teresa Voso
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma
| | - Adriano Venditti
- Ematologia, Dipartimento di Biomedicina e Prevenzione, “Tor Vergata” Università di Roma
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24
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Torka P, Akhtar OS, Reddy NM, Baysal BE, Kader A, Groman A, Nichols J, Mavis C, Tario JD, Block AW, Sait SNJ, Ghione P, Sundaram S, Przespolewski ER, Mohr A, Lund I, Kostrewa J, McWhite K, DeMarco J, Johnson M, Darrall A, Thomas-Talley RN, Wallace PK, Neppalli V, Hutson A, Hernandez-Ilizaliturri FJ. Ofatumumab plus HyperCVAD/HD-MA induction leads to high rates of minimal residual disease negativity in patients with newly diagnosed mantle cell lymphoma, results of a phase 2 study. Cancer 2022; 128:1595-1604. [PMID: 35157306 PMCID: PMC10086838 DOI: 10.1002/cncr.34106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 11/13/2021] [Accepted: 12/01/2021] [Indexed: 11/09/2022]
Abstract
BACKGROUND Ofatumumab is a humanized type 1 anti-CD20 monoclonal antibody. Preclinical studies show improved complement-mediated cytotoxicity (CMC) compared to rituximab in mantle cell lymphoma (MCL). This study evaluates the safety and efficacy of combining ofatumumab with HyperCVAD/MA (O-HyperCVAD) in newly diagnosed MCL. METHODS In this single-arm phase 2 study, 37 patients were treated with the combination of O-HyperCVAD for 4 or 6 cycles, followed by high dose chemotherapy and autologous stem cell transplant. Primary objectives were overall response rate (ORR) and complete response (CR) rate at the end of therapy. Secondary objectives included minimal residual disease (MRD) negativity, progression-free survival (PFS), and overall survival (OS). RESULTS Median age was 60 years; ORR was 86% and 73% achieved a CR by modified Cheson criteria. The MRD negativity rate was 78% after 2 cycles of therapy, increasing to 96% at the end of induction; median PFS and OS were 45.5 months and 56 months, respectively. Achieving a post-induction CR by both imaging and flow cytometry was associated with improved PFS and OS. Early MRD negativity (post-2 cycles) was also associated with an improved PFS but not OS. There were 3 deaths while on therapy, and grades 3 and 4 adverse events (AEs) were observed in 22% and 68% of the patients. CONCLUSION The addition of ofatumumab to HyperCVAD/HD-MA led to high rates of MRD negativity by flow cytometry in patients with newly diagnosed MCL. Achieving a CR post-induction by both imaging and flow cytometry is associated with improved overall survival.
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Affiliation(s)
- Pallawi Torka
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | | | | | - Bora E Baysal
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Angela Kader
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | | | - Jenna Nichols
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Cory Mavis
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Joseph D Tario
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | | | | | - Paola Ghione
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | | | | | - Alice Mohr
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Ian Lund
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | | | | | - Joseph DeMarco
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | | | - Andrea Darrall
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | | | - Paul K Wallace
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | | | - Alan Hutson
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
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25
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Greiner SM, Märklin M, Holzmayer S, Kaban K, Meyer S, Hinterleitner C, Tandler C, Hagelstein I, Jung G, Salih HR, Heitmann JS, Kauer J. Identification of CD105 (endoglin) as novel risk marker in CLL. Ann Hematol 2022; 101:773-780. [PMID: 35044512 PMCID: PMC8913466 DOI: 10.1007/s00277-022-04756-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Accepted: 01/03/2022] [Indexed: 12/21/2022]
Abstract
Several genetic and clinical markers are established as prognostic factors in chronic lymphocytic leukemia (CLL). However, additional markers are needed for risk stratification. Flow cytometric analysis is a mainstay of CLL diagnostics, thus identification of novel prognostic surface markers can improve risk assessment without increasing burden for patients and physicians. Furthermore, surface molecules preferentially expressed in high-risk cases could serve as therapeutic targets for immunotherapy. CD105 (endoglin) is a TGF-beta coreceptor and activates endothelial cells in healthy tissues and cancer. In addition, it is expressed on healthy hematopoietic precursors as well as lymphoid and myeloid leukemias. In acute myeloid leukemia (AML), a CD105 antibody is successfully applied in clinical studies. In CLL, mRNA expression of the CD105 gene ENG reportedly correlates with other risk factors but failed to show significant correlation with overall survival. However, CD105 protein expression in CLL has never been studied. We here analyzed CD105 surface expression on CLL cells from 71 patients by flow cytometry and report for the first time that substantial levels of CD105 are detectable on CLL cells in 70.4% of patients. Using receiver operating characteristics, we established a cutoff of 5.99% positive cells to distinguish between low and high CD105 levels, the latter correlating with decreased time to first treatment and overall survival. High CD105 expression further correlates with CD38 expression. Our study identified membrane expression of CD105 as a potential risk marker and therapeutic target in high-risk CLL. However, multivariant analyses of large cohorts should be performed in confirmatory studies.
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Affiliation(s)
- Sarah M Greiner
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany.,Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University, Tübingen, Germany
| | - Melanie Märklin
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany.,Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University, Tübingen, Germany
| | - Samuel Holzmayer
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany.,Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University, Tübingen, Germany
| | - Kübra Kaban
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany.,Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University, Tübingen, Germany
| | - Sophie Meyer
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany.,Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University, Tübingen, Germany
| | - Clemens Hinterleitner
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University, Tübingen, Germany.,Department of Medical Oncology & Pneumology, University Hospital Tübingen, Tübingen, Germany
| | - Claudia Tandler
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany.,Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University, Tübingen, Germany
| | - Ilona Hagelstein
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany.,Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University, Tübingen, Germany
| | - Gundram Jung
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University, Tübingen, Germany.,Interfaculty Institute for Cell Biology, Department of Immunology, German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner Site Tübingen, University of Tübingen, Tübingen, Germany
| | - Helmut R Salih
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany.,Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University, Tübingen, Germany
| | - Jonas S Heitmann
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany. .,Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University, Tübingen, Germany.
| | - Joseph Kauer
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Germany.,Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Eberhard Karls University, Tübingen, Germany.,Interfaculty Institute for Cell Biology, Department of Immunology, German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner Site Tübingen, University of Tübingen, Tübingen, Germany.,Department of Internal Medicine V. Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany
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26
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Technical Aspects of Flow Cytometry-based Measurable Residual Disease Quantification in Acute Myeloid Leukemia: Experience of the European LeukemiaNet MRD Working Party. Hemasphere 2022; 6:e676. [PMID: 34964040 PMCID: PMC8701786 DOI: 10.1097/hs9.0000000000000676] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 11/23/2021] [Indexed: 12/12/2022] Open
Abstract
Measurable residual disease (MRD) quantified by multiparameter flow cytometry (MFC) is a strong and independent prognostic factor in acute myeloid leukemia (AML). However, several technical factors may affect the final read-out of the assay. Experts from the MRD Working Party of the European LeukemiaNet evaluated which aspects are crucial for accurate MFC-MRD measurement. Here, we report on the agreement, obtained via a combination of a cross-sectional questionnaire, live discussions, and a Delphi poll. The recommendations consist of several key issues from bone marrow sampling to final laboratory reporting to ensure quality and reproducibility of results. Furthermore, the experiences were tested by comparing two 8-color MRD panels in multiple laboratories. The results presented here underscore the feasibility and the utility of a harmonized theoretical and practical MFC-MRD assessment and are a next step toward further harmonization.
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27
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Mauro FR, Paoloni F, Molica S, Reda G, Trentin L, Sportoletti P, Marchetti M, Pietrasanta D, Marasca R, Gaidano G, Coscia M, Stelitano C, Mannina D, Di Renzo N, Ilariucci F, Liberati AM, Orsucci L, Re F, Tani M, Musuraca G, Gottardi D, Zinzani PL, Gozzetti A, Molinari A, Gentile M, Chiarenza A, Laurenti L, Varettoni M, Ibatici A, Murru R, Ruocco V, Del Giudice I, De Propris MS, Della Starza I, Raponi S, Nanni M, Fazi P, Neri A, Guarini A, Rigolin GM, Piciocchi A, Cuneo A, Foà R. Efficacy of Front-Line Ibrutinib and Rituximab Combination and the Impact of Treatment Discontinuation in Unfit Patients with Chronic Lymphocytic Leukemia: Results of the Gimema LLC1114 Study. Cancers (Basel) 2021; 14:cancers14010207. [PMID: 35008372 PMCID: PMC8750939 DOI: 10.3390/cancers14010207] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 12/28/2021] [Indexed: 11/17/2022] Open
Abstract
Simple Summary This prospective, multicenter study aimed to investigate the efficacy and safety of a front-line treatment with the ibrutinib and rituximab combination in 146 unfit patients with chronic lymphocytic leukemia (CLL). We observed an OR, CR, and 48-month PFS rates of 87%, 22.6%, and 77%, respectively. Responses with undetectable MRD were observed in 6.2% of all patients and 27% of CR patients. TP53 disruption and B-symptoms revealed a significant and independent impact on PFS. The 48-month cumulative treatment discontinuation rate due to adverse events in this patient population was 29.1%. It was significantly higher in male patients, in patients aged ≥70 years, and in those managed at centers that enrolled less than five patients. In conclusion, the ibrutinib and rituximab combination was an effective front-line treatment for unfit patients with CLL. However, a high rate of treatment discontinuations due to adverse events was observed in this unfit population. Abstract The GIMEMA group investigated the efficacy, safety, and rates of discontinuations of the ibrutinib and rituximab regimen in previously untreated and unfit patients with chronic lymphocytic leukemia (CLL). Treatment consisted of ibrutinib, 420 mg daily, and until disease progression, and rituximab (375 mg/sqm, given weekly on week 1–4 of month 1 and day 1 of months 2–6). This study included 146 patients with a median age of 73 years, with IGHV unmutated in 56.9% and TP53 disrupted in 22.2%. The OR, CR, and 48-month PFS rates were 87%, 22.6%, and 77%, respectively. Responses with undetectable MRD were observed in 6.2% of all patients and 27% of CR patients. TP53 disruption (HR 2.47; p = 0.03) and B-symptoms (HR 2.91; p = 0.02) showed a significant and independent impact on PFS. The 48-month cumulative rates of treatment discontinuations due to disease progression (DP) or adverse events (AEs) were 5.6% and 29.1%, respectively. AEs leading more frequently to treatment discontinuation were atrial fibrillation in 8% of patients, infections in 8%, and non-skin cancers in 6%. Discontinuation rates due to AEs were higher in male patients (HR: 0.46; p = 0.05), patients aged ≥70 years (HR 5.43, p = 0.0017), and were managed at centers that enrolled <5 patients (HR 5.1, p = 0.04). Patients who discontinued ibrutinib due to an AE showed a 24-month next treatment-free survival rate of 63%. In conclusion, ibrutinib and rituximab combination was an effective front-line treatment with sustained disease control in more than half of unfit patients with CLL. Careful monitoring is recommended to prevent and manage AEs in this patient population.
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Affiliation(s)
- Francesca Romana Mauro
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Via Benevento 6, 00161 Rome, Italy; (V.R.); (I.D.G.); (M.S.D.P.); (I.D.S.); (S.R.); (M.N.); (A.G.); (R.F.)
- Correspondence: ; Tel.: +39-06-499741; Fax: +39-06-44241984
| | | | - Stefano Molica
- Department of Hematology, Pugliese Ciaccio Hospital, 88100 Catanzaro, Italy;
| | - Gianluigi Reda
- Hematology Department, Foundation IRCCS Ca’ Granda, Ospedale Maggiore Policlinico, University of Milan, 20100 Milan, Italy; (G.R.); (A.N.)
| | - Livio Trentin
- Hematology Division, Department of Medicine, University of Padua, 35128 Padua, Italy;
| | - Paolo Sportoletti
- Institute of Hematology-Centro di Ricerca Emato-Oncologica (CREO), Department of Medicine, University of Perugia, 06129 Perugia, Italy;
| | - Monia Marchetti
- Department of Hematology, SS. Antonio e Biagio e Cesare Arrigo Hospital and University of Eastern Piedmont, 15121 Alessandria, Italy;
| | - Daniela Pietrasanta
- Department of Hematology, Azienda Ospedaliera SS Arrigo e Biagio e Cesare Arrigo, 15121 Alessandria, Italy;
| | - Roberto Marasca
- Hematology Unit, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, 41126 Modena, Italy;
| | - Gianluca Gaidano
- Division of Hematology, Department of Translational Medicine, University of Eastern Piedmont, AOU Maggiore della Carità, 28100 Novara, Italy;
| | - Marta Coscia
- Division of Hematology, A.O.U. Città della Salute e della Scienza di Torino and Department of Molecular Biotechnology and Health Sciences, University of Torino, 10100 Torino, Italy;
| | - Caterina Stelitano
- Department of Hematology, Azienda Ospedaliera Bianchi Melacrino Morelli, 89124 Reggio Calabria, Italy;
| | - Donato Mannina
- Division of Hematology, Azienda Ospedaliera Papardo, 98158 Messina, Italy;
| | - Nicola Di Renzo
- Hematology and Stem Cell Transplant Unit, “Vito Fazzi” Hospital, 73100 Lecce, Italy;
| | - Fiorella Ilariucci
- Hematology, Azienda Ospedaliera Arcispedale Santa Maria Nuova IRCCS, 42123 Reggio Emilia, Italy;
| | - Anna Marina Liberati
- Department of Hematology, Università degli Studi di Perugia, A.O.S., 05100 Terni, Italy;
| | - Lorella Orsucci
- Department of Hematology, Azienda Ospedaliera Universitaria Città della Salute e della Scienza di Torino, 10100 Torino, Italy;
| | - Francesca Re
- Hematology and Bone Marrow Transplant Center, Azienda Ospedaliera Universitaria di Parma, 43126 Parma, Italy;
| | - Monica Tani
- Division of Hematology, Santa Maria delle Croci Hospital, 48121 Ravenna, Italy;
| | - Gerardo Musuraca
- Istituto Scientifico Romagnoli per lo Studio e la Cura dei Tumori-IRST, 47014 Meldola, Italy;
| | - Daniela Gottardi
- A.O.U. S. Giovanni Battista A.O. Mauriziano-Umberto I, 10128 Torino, Italy;
| | - Pier Luigi Zinzani
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia “Seràgnoli” and Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale, Università di Bologna, 40138 Bologna, Italy;
| | - Alessandro Gozzetti
- Hematology, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy;
| | - Annalia Molinari
- Department of Oncology and Hematology, Infermi Hospital, 47923 Rimini, Italy;
| | | | | | - Luca Laurenti
- Fondazione Policlinico Universitario A Gemelli, IRCCS, 00168 Rome, Italy;
| | - Marzia Varettoni
- Division of Hematology, Fondazione IRCCS Policlinico San Matteo, 27100 Pavia, Italy;
| | - Adalberto Ibatici
- U.O. Ematologia e Centro Trapianti di Midollo, Policlinico San Martino, 16132 Genova, Italy;
| | - Roberta Murru
- Hematology and Stem Cell Transplantation Unit, Ospedale A. Businco, ARNAS “G. Brotzu”, 34121 Cagliari, Italy;
| | - Valeria Ruocco
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Via Benevento 6, 00161 Rome, Italy; (V.R.); (I.D.G.); (M.S.D.P.); (I.D.S.); (S.R.); (M.N.); (A.G.); (R.F.)
| | - Ilaria Del Giudice
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Via Benevento 6, 00161 Rome, Italy; (V.R.); (I.D.G.); (M.S.D.P.); (I.D.S.); (S.R.); (M.N.); (A.G.); (R.F.)
| | - Maria Stefania De Propris
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Via Benevento 6, 00161 Rome, Italy; (V.R.); (I.D.G.); (M.S.D.P.); (I.D.S.); (S.R.); (M.N.); (A.G.); (R.F.)
| | - Irene Della Starza
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Via Benevento 6, 00161 Rome, Italy; (V.R.); (I.D.G.); (M.S.D.P.); (I.D.S.); (S.R.); (M.N.); (A.G.); (R.F.)
- GIMEMA Foundation, 00187 Rome, Italy; (F.P.); (P.F.); (A.P.)
| | - Sara Raponi
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Via Benevento 6, 00161 Rome, Italy; (V.R.); (I.D.G.); (M.S.D.P.); (I.D.S.); (S.R.); (M.N.); (A.G.); (R.F.)
| | - Mauro Nanni
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Via Benevento 6, 00161 Rome, Italy; (V.R.); (I.D.G.); (M.S.D.P.); (I.D.S.); (S.R.); (M.N.); (A.G.); (R.F.)
| | - Paola Fazi
- GIMEMA Foundation, 00187 Rome, Italy; (F.P.); (P.F.); (A.P.)
| | - Antonino Neri
- Hematology Department, Foundation IRCCS Ca’ Granda, Ospedale Maggiore Policlinico, University of Milan, 20100 Milan, Italy; (G.R.); (A.N.)
| | - Anna Guarini
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Via Benevento 6, 00161 Rome, Italy; (V.R.); (I.D.G.); (M.S.D.P.); (I.D.S.); (S.R.); (M.N.); (A.G.); (R.F.)
| | - Gian Matteo Rigolin
- Hematology Section, St. Anna University Hospital, 44121 Ferrara, Italy; (G.M.R.); (A.C.)
| | | | - Antonio Cuneo
- Hematology Section, St. Anna University Hospital, 44121 Ferrara, Italy; (G.M.R.); (A.C.)
| | - Robin Foà
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Via Benevento 6, 00161 Rome, Italy; (V.R.); (I.D.G.); (M.S.D.P.); (I.D.S.); (S.R.); (M.N.); (A.G.); (R.F.)
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28
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Wang XV, Hanson CA, Tschumper RC, Lesnick CE, Braggio E, Paietta EM, O'Brien S, Barrientos JC, Leis JF, Zhang CC, Coutre SE, Barr PM, Cashen AF, Mato AR, Singh AK, Mullane MP, Erba H, Stone R, Litzow MR, Tallman MS, Shanafelt TD, Kay NE. Measurable residual disease does not preclude prolonged progression-free survival in CLL treated with ibrutinib. Blood 2021; 138:2810-2827. [PMID: 34407545 PMCID: PMC8718628 DOI: 10.1182/blood.2020010146] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Accepted: 07/16/2021] [Indexed: 01/01/2023] Open
Abstract
E1912 was a randomized phase 3 trial comparing indefinite ibrutinib plus 6 cycles of rituximab (IR) to 6 cycles of fludarabine, cyclophosphamide, and rituximab (FCR) in untreated younger patients with CLL. We describe measurable residual disease (MRD) levels in E1912 over time and correlate them with clinical outcome. Undetectable MRD rates (<1 CLL cell per 104 leukocytes) were 29.1%, 30.3%, 23.4%, and 8.6% at 3, 12, 24, and 36 months for FCR, and significantly lower at 7.9%, 4.2%, and 3.7% at 12, 24, and 36 months for IR, respectively. Undetectable MRD at 3, 12, 24, and 36 months was associated with longer progression-free survival (PFS) in the FCR arm, with hazard ratios (MRD detectable/MRD undetectable) of 4.29 (95% confidence interval [CI], 1.89-9.71), 3.91 (95% CI, 1.39-11.03), 14.12 (95% CI, 1.78-111.73), and not estimable (no events among those with undetectable MRD), respectively. In the IR arm, patients with detectable MRD did not have significantly worse PFS compared with those in whom MRD was undetectable; however, PFS was longer in those with MRD levels <10-1 than in those with MRD levels above this threshold. Our observations provide additional support for the use of MRD as a surrogate end point for PFS in patients receiving FCR. In patients on indefinite ibrutinib-based therapy, PFS did not differ significantly by undetectable MRD status, whereas those with MRD <10-1 tended to have longer PFS, although continuation of ibrutinib would very likely be necessary to maintain treatment efficacy.
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Affiliation(s)
- Xin Victoria Wang
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Curtis A Hanson
- Division of Hematology and Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Renee C Tschumper
- Division of Hematology and Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Connie E Lesnick
- Division of Hematology and Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Esteban Braggio
- Department of Hematology/Oncology, Mayo Clinic in Arizona, Scottsdale, AZ
| | | | - Susan O'Brien
- Chao Family Comprehensive Cancer Center, University of California Irvine Medical Center, Irvine, CA
| | | | - Jose Francisco Leis
- Division of Hematology/Oncology, Department of Internal Medicine, Mayo Clinic in Arizona, Phoenix, AZ
| | - Cong Christine Zhang
- Department of Hematology/Oncology, Kaiser Permanente National Cancer Institute Community Oncology Research Program (NCORP)/The Permanente Medical Group, Fresno, CA
| | | | - Paul M Barr
- Department of Medicine, Rochester University, Rochester, NY
| | - Amanda F Cashen
- Department of Medicine, Washington University School of Medicine, St Louis, MO
| | - Anthony R Mato
- CLL Program, Memorial Sloan-Kettering Cancer Center, New York, NY
| | | | | | - Harry Erba
- Department of Medicine, Duke University Medical Center, Durham, NC
| | - Richard Stone
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA; and
| | - Mark R Litzow
- Division of Hematology and Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Martin S Tallman
- Leukemia Service, Memorial Sloan-Kettering Cancer Center, New York, NY
| | | | - Neil E Kay
- Division of Hematology and Department of Internal Medicine, Mayo Clinic, Rochester, MN
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29
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Phase 2 study of obinutuzumab (GA-101), ibrutinib and venetoclax (CLL2-GIVe) in patients with untreated high-risk chronic lymphocytic leukemia. Blood 2021; 139:1318-1329. [PMID: 35108374 DOI: 10.1182/blood.2021013208] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 11/10/2021] [Indexed: 11/20/2022] Open
Abstract
Despite considerable treatment advances with targeted therapies for patients with chronic lymphocytic leukemia (CLL) deemed high-risk (del(17p) and/or TP53 mutation), outcome is still inferior compared to other CLL patients. Combining multiple agents with distinct mechanisms of action may further improve outcomes. CLL2-GIVe is an open-label, multicenter trial, which enrolled patients with previously untreated CLL with del(17p) and/or TP53 mutation. Patients received induction therapy with obinutuzumab (GA-101), ibrutinib and venetoclax (GIVe) for cycles 1-6 and consolidation therapy with venetoclax and ibrutinib for cycles 7-12. Ibrutinib monotherapy was continued for cycles 13-36 in patients not reaching a complete response (CR) with serial undetectable minimal residual disease (uMRD) after consolidation. The primary endpoint was CR rate at cycle 15 (final restaging). Secondary endpoints included MRD, survival and safety. All 41 patients, enrolled between September 2016 and August 2018, received study treatment and were included in efficacy and safety populations. With a CR rate of 58.5% at cycle 15, the primary endpoint was met (95% CI: 42.1-73.7; p<0.001). At final restaging, 78.0% of patients had uMRD in peripheral blood; 65.9% of patients had uMRD in bone marrow. Estimated progression-free and overall survival rates at 24 months were both 95.1%. Adverse events were reported in all patients, most were low grade (grade ≥3: 23.9%). Two deaths were reported (cardiac failure and ovarian carcinoma), neither related to study treatment. The CLL2-GIVe treatment regimen has a manageable safety profile and is a first-line treatment of good efficacy for patients with high-risk CLL.
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30
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Soumerai JD, Mato AR, Dogan A, Seshan VE, Joffe E, Flaherty K, Carter J, Hochberg E, Barnes JA, Hamilton AM, Abramson JS, Batlevi CL, Matasar MJ, Noy A, Owens CN, Palomba ML, Kumar A, Takvorian T, Ni A, Choma M, Friedman C, Chadha P, Simkins E, Ruiters J, Sechio S, Portman D, Ramos L, Nolet N, Mahajan N, Martignetti R, Mi J, Scorsune K, Lynch J, McGree B, Hughes S, Grieve C, Roeker LE, Thompson M, Johnson PC, Roshal M, Huang J, Biondo J, Wu Q, Jacob A, Abdel-Wahab O, Zelenetz AD. Zanubrutinib, obinutuzumab, and venetoclax with minimal residual disease-driven discontinuation in previously untreated patients with chronic lymphocytic leukaemia or small lymphocytic lymphoma: a multicentre, single-arm, phase 2 trial. Lancet Haematol 2021; 8:e879-e890. [DOI: 10.1016/s2352-3026(21)00307-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 09/29/2021] [Accepted: 09/30/2021] [Indexed: 10/19/2022]
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31
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D'Arena G, Volpe S, Amodeo R, Tirino V, D'Auria F, Annamaria G, Pietrantuono G, Laurenti L, Aiello A, Musto P. Italian Cytometry Society (GIC) endorsement of consensus recommendations for measurable residual disease in chronic lymphocytic leukemia. Int J Lab Hematol 2021; 44:e120-e122. [PMID: 34796668 DOI: 10.1111/ijlh.13766] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 10/15/2021] [Accepted: 11/03/2021] [Indexed: 12/01/2022]
Affiliation(s)
- Giovanni D'Arena
- Hematology, P.O. S. Luca, ASL Salerno, Vallo della Lucania, Italy
| | - Silvestro Volpe
- Immunohematology Unit, AORN Giuseppe Moscati, Avellino, Italy
| | - Rachele Amodeo
- Flow Cytometry Unit, Clinical Laboratory, Sant'Andrea Hospital, Roma, Italy
| | - Virginia Tirino
- Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Napoli, Italy
| | - Fiorella D'Auria
- Laboratory of Clinical and Advanced Diagnostics, IRCCS Centro di Riferimento Oncologico della Basilicata, Rionero in Vulture, Italy
| | - Giordano Annamaria
- Hematology Unit and Stem Cell Transplantation, AOUC Policlinico, Bari, Italy
| | - Giuseppe Pietrantuono
- Hematology and Stem Cell Transplantation Unit, IRCCS Centro di Riferimento Oncologico della Basilicata, Rionero in Vulture, Italy
| | - Luca Laurenti
- Hematology Unit IRCCS Fondazione Policlinico Gemelli, Catholic University of "Sacred Heart", Roma, Italy
| | - Antonella Aiello
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milano, Italy
| | - Pellegrino Musto
- Department of Emergency and Organ Transplantation, Aldo Moro" University School of Medicine and Unit of Hematology and Stem Cell Transplantation, AOUC Policlinico, Bari, Italy
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32
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Wierda WG, Rawstron A, Cymbalista F, Badoux X, Rossi D, Brown JR, Egle A, Abello V, Cervera Ceballos E, Herishanu Y, Mulligan SP, Niemann CU, Diong CP, Soysal T, Suzuki R, Tran HTT, Wu SJ, Owen C, Stilgenbauer S, Ghia P, Hillmen P. Measurable residual disease in chronic lymphocytic leukemia: expert review and consensus recommendations. Leukemia 2021; 35:3059-3072. [PMID: 34168283 PMCID: PMC8550962 DOI: 10.1038/s41375-021-01241-1] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 03/17/2021] [Accepted: 03/23/2021] [Indexed: 12/16/2022]
Abstract
Assessment of measurable residual disease (often referred to as "minimal residual disease") has emerged as a highly sensitive indicator of disease burden during and at the end of treatment and has been correlated with time-to-event outcomes in chronic lymphocytic leukemia. Undetectable-measurable residual disease status at the end of treatment demonstrated independent prognostic significance in chronic lymphocytic leukemia, correlating with favorable progression-free and overall survival with chemoimmunotherapy. Given its utility in evaluating depth of response, determining measurable residual disease status is now a focus of outcomes in chronic lymphocytic leukemia clinical trials. Increased adoption of measurable residual disease assessment calls for standards for nomenclature and outcomes data reporting. In addition, many basic questions have not been systematically addressed. Here, we present the work of an international, multidisciplinary, 174-member panel convened to identify critical questions on key issues pertaining to measurable residual disease in chronic lymphocytic leukemia, review evaluable data, develop unified answers in conjunction with local expert input, and provide recommendations for future studies. Recommendations are presented regarding methodology for measurable residual disease determination, assay requirements and in which tissue to assess measurable residual disease, timing and frequency of assessment, use of measurable residual disease in clinical practice versus clinical trials, and the future usefulness of measurable residual disease assessment. Nomenclature is also proposed. Adoption of these recommendations will work toward standardizing data acquisition and interpretation in future studies with new treatments with the ultimate objective of improving outcomes and curing chronic lymphocytic leukemia.
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Affiliation(s)
| | | | - Florence Cymbalista
- Hôpital Avicenne, AP-HP, UMR Université Paris13/INSERM U978, Bobigny, France
| | | | - Davide Rossi
- Hematology, Oncology Institute of Southern Switzerland, Bellinzona, Switzerland
| | - Jennifer R Brown
- Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Alexander Egle
- Department of Internal Medicine III with Haematology, Medical Oncology, Hemostaseology, Infectiology and Rheumatology, Oncologic Center, Paracelsus Medical University, Salzburg, Salzburg Cancer Research Institute - Laboratory for Immunological and Molecular Cancer Research (SCRI-LIMCR), Cancer Cluster Salzburg, Salzburg, Austria
| | | | | | - Yair Herishanu
- Tel-Aviv Sourasky Medical Center and Sackler Medical School, Tel Aviv, Israel
| | | | | | | | - Teoman Soysal
- Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | | | | | - Shang-Ju Wu
- National Taiwan University Hospital, Taipei, Taiwan
| | | | - Stephan Stilgenbauer
- Internal Medicine III, Ulm University, Ulm and Internal Medicine 1, Saarland University, Homburg, Germany
| | - Paolo Ghia
- Università Vita-Salute San Raffaele and IRCCS Ospedale San Raffaele, Milan, Italy
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Al-Sawaf O, Zhang C, Lu T, Liao MZ, Panchal A, Robrecht S, Ching T, Tandon M, Fink AM, Tausch E, Schneider C, Ritgen M, Böttcher S, Kreuzer KA, Chyla B, Miles D, Wendtner CM, Eichhorst B, Stilgenbauer S, Jiang Y, Hallek M, Fischer K. Minimal Residual Disease Dynamics after Venetoclax-Obinutuzumab Treatment: Extended Off-Treatment Follow-up From the Randomized CLL14 Study. J Clin Oncol 2021; 39:4049-4060. [PMID: 34709929 DOI: 10.1200/jco.21.01181] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
PURPOSE The CLL14 study has established one-year fixed-duration treatment of venetoclax and obinutuzumab (Ven-Obi) for patients with previously untreated chronic lymphocytic leukemia. With all patients off treatment for at least three years, we report a detailed analysis of minimal residual disease (MRD) kinetics and long-term outcome of patients treated in the CLL14 study. PATIENTS AND METHODS Patients were randomly assigned to receive six cycles of obinutuzumab with 12 cycles of venetoclax or 12 cycles of chlorambucil (Clb-Obi). Progression-free survival (PFS) was the primary end point. Key secondary end points included rates of undetectable MRD and overall survival. To analyze MRD kinetics, a population-based growth model with nonlinear mixed effects approach was developed. RESULTS Of 432 patients, 216 were assigned to Ven-Obi and 216 to Clb-Obi. Three months after treatment completion, 40% of patients in the Ven-Obi arm (7% in the Clb-Obi arm) had undetectable MRD levels < 10-6 by next-generation sequencing in peripheral blood. Median MRD doubling time was longer after Ven-Obi than Clb-Obi therapy (median 80 v 69 days). At a median follow-up of 52.4 months, a sustained significant PFS improvement was observed in the Ven-Obi arm compared with Clb-Obi (median not reached v 36.4 months; hazard ratio 0.33; 95% CI, 0.25 to 0.45; P < .0001). The estimated 4-year PFS rate was 74.0% in the Ven-Obi and 35.4% in the Clb-Obi arm. No difference in overall survival was observed (hazard ratio 0.85; 95% CI, 0.54 to 1.35; P = .49). No new safety signals occurred. CONCLUSION Appearance of MRD after Ven-Obi is significantly slower than that after Clb-Obi with more effective MRD reduction. These findings translate into a superior long-term efficacy with the majority of Ven-Obi-treated patients remaining in remission.
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Affiliation(s)
- Othman Al-Sawaf
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I of Internal Medicine, German CLL Study Group, Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf, Germany.,The Francis Crick Institute, London, United Kingdom.,UCL Cancer Institute, University College London, London, United Kingdom
| | - Can Zhang
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I of Internal Medicine, German CLL Study Group, Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf, Germany
| | - Tong Lu
- Genentech, San Francisco, CA
| | | | - Anesh Panchal
- Roche Products Ltd, Welwyn Garden City, United Kingdom
| | - Sandra Robrecht
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I of Internal Medicine, German CLL Study Group, Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf, Germany
| | | | | | - Anna-Maria Fink
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I of Internal Medicine, German CLL Study Group, Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf, Germany
| | - Eugen Tausch
- Department of Internal Medicine III, Ulm University, Ulm, Germany
| | | | - Matthias Ritgen
- Department II of Internal Medicine, University of Schleswig- Holstein, Kiel, Germany
| | - Sebastian Böttcher
- Clinic III, Special Hematology Laboratory, Rostock University Medical School, Rostock, Germany
| | - Karl-Anton Kreuzer
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I of Internal Medicine, German CLL Study Group, Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf, Germany
| | | | | | - Clemens-Martin Wendtner
- Department of Hematology, Oncology, Immunology, Palliative Care, Infectious Diseases and Tropical Medicine, Munich Clinic Schwabing, Munich, Germany
| | - Barbara Eichhorst
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I of Internal Medicine, German CLL Study Group, Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf, Germany
| | - Stephan Stilgenbauer
- Department of Internal Medicine III, Ulm University, Ulm, Germany.,Department of Internal Medicine I, Saarland University Medical Center, Homburg, Germany
| | | | - Michael Hallek
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I of Internal Medicine, German CLL Study Group, Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf, Germany
| | - Kirsten Fischer
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I of Internal Medicine, German CLL Study Group, Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf, Germany
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Abstract
Multiparametric flow cytometry is a powerful cellular analysis tool used in various stages of drug development. In adoptive cell therapies, the flow cytometry methods are used for the evaluation of advanced cellular products during manufacturing and to monitor cellular kinetics after infusion. In this report, we discussed the bioanalytical method development challenges to monitor cellular kinetics in CAR-T cell therapies. These method development challenges include procuring positive control samples for the development of the method, flow cytometry panel design, LLOQ, prestain sample stability, staining reagents and data analysis.
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35
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Multiparametric Flow Cytometry for MRD Monitoring in Hematologic Malignancies: Clinical Applications and New Challenges. Cancers (Basel) 2021; 13:cancers13184582. [PMID: 34572809 PMCID: PMC8470441 DOI: 10.3390/cancers13184582] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 09/05/2021] [Accepted: 09/08/2021] [Indexed: 02/06/2023] Open
Abstract
Simple Summary In hematologic cancers, Minimal Residual Disease (MRD) monitoring, using either molecular (PCR) or immunophenotypic (MFC) diagnostics, allows the identification of rare cancer cells, readily detectable either in the bone marrow or in the peripheral blood at very low levels, far below the limit of classic microscopy. In this paper, we outlined the state-of-the-art of MFC-based MRD detection in different hematologic settings, highlighting main recommendations and new challenges for using such method in patients with acute leukemias or chronic hematologic neoplasms. The combination of new molecular technologies with advanced flow cytometry is progressively allowing clinicians to design a personalized therapeutic path, proportionate to the biological aggressiveness of the disease, in particular by using novel immunotherapies, in view of a modern decision-making process, based on precision medicine. Abstract Along with the evolution of immunophenotypic and molecular diagnostics, the assessment of Minimal Residual Disease (MRD) has progressively become a keystone in the clinical management of hematologic malignancies, enabling valuable post-therapy risk stratifications and guiding risk-adapted therapeutic approaches. However, specific prognostic values of MRD in different hematological settings, as well as its appropriate clinical uses (basically, when to measure it and how to deal with different MRD levels), still need further investigations, aiming to improve standardization and harmonization of MRD monitoring protocols and MRD-driven therapeutic strategies. Currently, MRD measurement in hematological neoplasms with bone marrow involvement is based on advanced highly sensitive methods, able to detect either specific genetic abnormalities (by PCR-based techniques and next-generation sequencing) or tumor-associated immunophenotypic profiles (by multiparametric flow cytometry, MFC). In this review, we focus on the growing clinical role for MFC-MRD diagnostics in hematological malignancies—from acute myeloid and lymphoblastic leukemias (AML, B-ALL and T-ALL) to chronic lymphocytic leukemia (CLL) and multiple myeloma (MM)—providing a comparative overview on technical aspects, clinical implications, advantages and pitfalls of MFC-MRD monitoring in different clinical settings.
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36
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Ng DP. Flow cytometric myeloma measurable residual disease testing in the era of targeted therapies. Int J Lab Hematol 2021; 43 Suppl 1:71-77. [PMID: 34288444 DOI: 10.1111/ijlh.13587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 04/22/2021] [Accepted: 04/27/2021] [Indexed: 11/30/2022]
Abstract
Therapies in myeloma are rapidly advancing with a host of new targeted therapies coming to market. While these drugs offer significant survival benefits and better side-effect profiles compared with conventional chemotherapeutics, they raise significant difficulties in monitoring post-therapy disease status by flow cytometry due to assay interference and/or selection of phenotypically different sub-clones. The principal culprit, anti-CD38 monoclonal antibodies, limits the ability to detect plasma cells based on classical CD38/CD45 gating. Other markers, such as CD138, are known to be suboptimal by flow cytometry. Various techniques have been proposed to overcome this problem. The most promising of these techniques has been the marker VS38c, a monoclonal antibody targeting an endoplasmic reticulum protein which has shown high sensitivity for plasma cells. Alternative techniques for gating plasma cells, while variably effective in the near term are already the subject of several targeted therapies rendering their usefulness limited in the longer term. Likewise, future targets of these therapies may render present aberrancy markers ineffective in MRD testing. These therapies pose challenges that must be overcome with new markers and novel panels in order for flow cytometric MRD testing to remain relevant.
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Affiliation(s)
- David P Ng
- University of Utah, Salt Lake City, UT, USA
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37
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Tournilhac O, Le Garff-Tavernier M, Nguyen Quoc S, Forcade E, Chevallier P, Legrand-Izadifar F, Laurent Damaj G, Michonneau D, Tomowiak C, Borel C, Orvain C, Turlure P, Redjou R, Guillerm G, Vincent L, Simand C, Lemal R, Quiney C, Combes P, Pereira B, Calvet L, Cabrespine A, Bay JO, Leblond V, Dhédin N, Organization Filo FIL, De Moelle Et de Thérapie Cellulaire Sfgm-Tc SFDG. Efficacy of minimal residual disease driven immune-intervention after allogeneic hematopoietic stem cell transplantation for high-risk chronic lymphocytic leukemia: results of a prospective multicenter trial. Haematologica 2021; 106:1867-1875. [PMID: 32527951 PMCID: PMC8252930 DOI: 10.3324/haematol.2019.239566] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Indexed: 12/13/2022] Open
Abstract
Allogeneic hematopoietic stem cell transplantation (HSCT) remains a potentially curative and useful strategy in high-risk relapsing chronic lymphocytic leukemia (CLL). Minimal residual disease (MRD) assessment at 12 months (M12) post-HSCT is predictive of relapse. This phase II study aimed to achieve M12 MRD negativity (MRDneg) using an MRD-driven immune-intervention (Md-PII) algorithm based on serial flow-cytometry blood MRD, involving cyclosporine tapering followed in case of failure by donor lymphocytes infusions. Patients had high-risk CLL according to the 2006 European Society for Blood and Marrow Transplantation consensus, in complete or partial response with lymphadenopathy <5 cm and comorbidity score ≤2. Donors were HLA-matched sibling or matched unrelated (10/10). Fortytwo enrolled patients with either 17p deletion (front-line, n=11; relapse n=16) or other high-risk relapse (n=15) received reduced intensity-conditioning regimen before HSCT and were submitted to Md-PII. M12- MRDneg status was achieved in 27 of 42 patients (64%) versus 6 of 42 (14.2%) before HSCT. With a median follow-up of 36 months (range, 19-53), 3-year overall survival, non-relapse mortality and cumulative incidence of relapse are 86.9% (95% Confidence Interval [CI]: 70.8-94.4), 9.5% (95% CI: 3.7-23.4) and 29.6% (95% CI: 17.3-47.7). Incidence of 2-year limited and extensive chronic graft versus host disease (cGVHD) is 38% (95% CI: 23-53) and 23% (95% CI: 10-36) including two cases post Md-PII. Fifteen patients converted to MRDneg either after cyclosporine A withdrawal (n=12) or after cGvHD (n=3). As a time-dependent variable, MRDneg achievement at any time-point correlates with reduced relapse (Hazard ratio [HR] 0.14 [range, 0.04-0.53], P=0.004) and improvement of both progression free (HR 0.18 [range, 0.06-0.6], P<0.005) and overall (HR 0.18 [range, 0.03-0.98], P=0.047) survival. These data highlight the value of MRD-driven immune-intervention to induce prompt MRD clearance in the therapy of CLL (clinicaltrials gov. Identifier: NCT01849939).
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Affiliation(s)
- Olivier Tournilhac
- Hematologie Clinique et Therapie Cellulaire, CHU Estaing, Université Clermont-Ferrand, France
| | | | - Stéphanie Nguyen Quoc
- Service Hematologie Clinique, Groupe Hospitalier Pitié-Salpetriere, APHP, Paris, France
| | - Edouard Forcade
- Service Hematologie Clinique et de Thérapie cellulaire, CHU Bordeaux, Bordeaux, France
| | | | | | - Gandhi Laurent Damaj
- Hematologie Clinique, Institut d'Hematologie de Basse-Normandie, CHU Cote de Nacre, Caen, France
| | - David Michonneau
- Service Hematologie Greffe, Hopital Saint-Louis, APHP ; Université Paris Diderot, Paris, France
| | - Cécile Tomowiak
- Service Oncologie Hematologique et Therapie Cellulaire, CHU Poitiers, Poitiers, France
| | - Cécile Borel
- Service Hematologie, Institut Universitaire du Cancer Toulouse - Oncopole, Toulouse, France
| | | | - Pascal Turlure
- Service Hematologie Clinique, CHU Dupuytren, Limoges, France
| | - Rabah Redjou
- Service Hematologie Clinique, Hopital Henri Mondor, APHP, Creteil, France
| | - Gaëlle Guillerm
- Service Hematologie Clinique, Institut de Cancero-Hematologie, Hopital Morvan, Brest, France
| | - Laure Vincent
- Departement Hematologie Clinique, Hopital St Eloi, Montpellier, France
| | | | - Richard Lemal
- Service 'Histocompatibilité, CHU, UCA, EA7453 and CIC1405, Clermont-Ferrand, France
| | - Claire Quiney
- Service Hematologie Biologique, Groupe Hospitalier Pitié-Salpetriere, APHP, Paris France
| | | | - Bruno Pereira
- Unité de Biostatistiques, (DRCI), CHU, Clermont-Ferrand, France
| | - Laure Calvet
- Service de Reanimation Medicale, Hopital Gabriel Monpied, CHU, Clermont-Ferrand, France
| | - Aurélie Cabrespine
- Hematologie Clinique et Therapie Cellulaire, CHU, UCA EA 7453 ; CIC1405, Clermont-Ferrand, France
| | - Jacques-Olivier Bay
- Hematologie Clinique et Therapie Cellulaire, CHU, UCA EA 7453 ; CIC1405, Clermont-Ferrand, France
| | - Véronique Leblond
- Service Hematologie Clinique, Groupe Hospitalier Pitié-Salpetriere, APHP, Paris, France
| | - Nathalie Dhédin
- Unité Adolescents et Jeunes Adultes, Hopital St Louis, Hopitaux de Paris, France
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38
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Roerden M, Wirths S, Sökler M, Bethge WA, Vogel W, Walz JS. Impact of Mantle Cell Lymphoma Contamination of Autologous Stem Cell Grafts on Outcome after High-Dose Chemotherapy. Cancers (Basel) 2021; 13:cancers13112558. [PMID: 34071000 PMCID: PMC8197101 DOI: 10.3390/cancers13112558] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 05/07/2021] [Accepted: 05/18/2021] [Indexed: 11/19/2022] Open
Abstract
Simple Summary High-dose chemotherapy followed by autologous hematopoietic stem cell transplantation (Auto-HSCT) is a standard frontline treatment for fit mantle cell lymphoma (MCL) patients. As there is a need for predictive factors to identify patients unlikely to benefit from this therapy, we investigated the prognostic impact of lymphoma cell contamination of autologous stem cell grafts. Analyzing a cohort of 36 MCL patients, we show that lymphoma cell contamination of stem cell grafts is associated with poor outcomes after Auto-HSCT. Its analysis might thus improve risk assessment and enable risk-stratified treatment strategies for MCL patients. Abstract Novel predictive factors are needed to identify mantle cell lymphoma (MCL) patients at increased risk for relapse after high-dose chemotherapy and autologous hematopoietic stem cell transplantation (HDCT/Auto-HSCT). Although bone marrow and peripheral blood involvement is commonly observed in MCL and lymphoma cell contamination of autologous stem cell grafts might facilitate relapse after Auto-HSCT, prevalence and prognostic significance of residual MCL cells in autologous grafts are unknown. We therefore performed a multiparameter flow cytometry (MFC)-based measurable residual disease (MRD) assessment in autologous stem cell grafts and analyzed its association with clinical outcome in an unselected retrospective cohort of 36 MCL patients. MRD was detectable in four (11%) autologous grafts, with MRD levels ranging from 0.002% to 0.2%. Positive graft-MRD was associated with a significantly shorter progression-free and overall survival when compared to graft-MRD negative patients (median 9 vs. 56 months and 25 vs. 132 months, respectively) and predicted early relapse after Auto-HSCT (median time to relapse 9 vs. 44 months). As a predictor of outcome after HDCT/Auto-HSCT, MFC-based assessment of graft-MRD might improve risk stratification and support clinical decision making for risk-oriented treatment strategies in MCL.
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Affiliation(s)
- Malte Roerden
- Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, 72076 Tübingen, Germany; (S.W.); (M.S.); (W.A.B.); (W.V.); (J.S.W.)
- Institute for Cell Biology, Department of Immunology, University of Tübingen, 72076 Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, 72076 Tübingen, Germany
- Correspondence:
| | - Stefan Wirths
- Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, 72076 Tübingen, Germany; (S.W.); (M.S.); (W.A.B.); (W.V.); (J.S.W.)
| | - Martin Sökler
- Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, 72076 Tübingen, Germany; (S.W.); (M.S.); (W.A.B.); (W.V.); (J.S.W.)
| | - Wolfgang A. Bethge
- Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, 72076 Tübingen, Germany; (S.W.); (M.S.); (W.A.B.); (W.V.); (J.S.W.)
| | - Wichard Vogel
- Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, 72076 Tübingen, Germany; (S.W.); (M.S.); (W.A.B.); (W.V.); (J.S.W.)
| | - Juliane S. Walz
- Department of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, 72076 Tübingen, Germany; (S.W.); (M.S.); (W.A.B.); (W.V.); (J.S.W.)
- Institute for Cell Biology, Department of Immunology, University of Tübingen, 72076 Tübingen, Germany
- Cluster of Excellence iFIT (EXC2180) “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, 72076 Tübingen, Germany
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, 72076 Tübingen, Germany
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology (IKP) and Robert Bosch Center for Tumor Diseases (RBCT), Auerbachstr. 112, 70376 Stuttgart, Germany
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39
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Bazinet A, Rys RN, Barry A, Greenwood CMT, Young YK, Mendoza A, LaPorta I, Wever CM, Mercier FE, Johnson NA. A 10-color flow cytometry panel for diagnosis and minimal residual disease in chronic lymphocytic leukemia. Leuk Lymphoma 2021; 62:2352-2359. [PMID: 34020575 DOI: 10.1080/10428194.2021.1919658] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Diagnosis and minimal residual disease (MRD) monitoring of chronic lymphocytic leukemia (CLL) by flow cytometry currently requires multiple antibody panels. We added CD23 and CD200 to the EuroFlowTM lymphoid screening tube (LST) to create a 10-color modified LST (mLST) capable of diagnosing typical CLL in a single tube. We then explored if the mLST could be used for MRD by comparing its performance to the European Research Initiative on CLL (ERIC) panel using spiked cryopreserved and fresh patient samples. Over 1 year of use in our clinical laboratory, the mLST diagnosed CLL without further immunophenotyping in 56% of samples with an abnormal clone. There was good agreement in MRD results between the mLST and ERIC panels. Therefore, the mLST can streamline CLL diagnosis by reducing technician time and the number of panels required. It may have the potential to screen for MRD in laboratories without access to dedicated panels (ERIC).
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Affiliation(s)
- Alexandre Bazinet
- Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Canada.,Department of Medicine, Jewish General Hospital, McGill University, Montreal, Canada
| | - Ryan N Rys
- Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Canada
| | - Amadou Barry
- Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Canada.,Department of Epidemiology, Biostatistics & Occupational Health, McGill University, Montreal, Canada
| | - Celia M T Greenwood
- Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Canada.,Department of Epidemiology, Biostatistics & Occupational Health, McGill University, Montreal, Canada.,Gerald Bronfman Department of Oncology, McGill University, Montreal, Canada.,Department of Human Genetics, McGill University, Montreal, Canada
| | - Yoon Kow Young
- Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Canada
| | - Alma Mendoza
- Clinical Flow Cytometry, Jewish General Hospital, Montreal, Canada
| | - Ida LaPorta
- Clinical Flow Cytometry, Jewish General Hospital, Montreal, Canada
| | | | - François E Mercier
- Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Canada.,Department of Medicine, Jewish General Hospital, McGill University, Montreal, Canada
| | - Nathalie A Johnson
- Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Canada.,Department of Medicine, Jewish General Hospital, McGill University, Montreal, Canada
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40
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Al-Sawaf O, Seymour JF, Kater AP, Fischer K. Should Undetectable Minimal Residual Disease Be the Goal of Chronic Lymphocytic Leukemia Therapy? Hematol Oncol Clin North Am 2021; 35:775-791. [PMID: 34102145 DOI: 10.1016/j.hoc.2021.03.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
With the advent of highly effective novel therapies for chronic lymphocytic leukemia, conventional response assessment is not able to sensitively capture depth of response. To achieve a more precise assessment of response, minimal residual disease has been introduced to more accurately classify and quantify treatment outcomes. It is now considered a strong predictor of outcome in chronic lymphocytic leukemia, although its interpretation depends on the therapeutic context. This review discusses available methods of minimal residual disease measurement. It summarizes minimal residual disease data from pivotal clinical trials and discusses potential implications for future studies and minimal residual disease-based clinical strategies.
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Affiliation(s)
- Othman Al-Sawaf
- Department of Internal Medicine, Center of Integrated Oncology Cologne Bonn, University Hospital, German CLL Study Group, Gleueler Strasse 176, 50935 Cologne, Germany
| | - John F Seymour
- Department of Hematology, Peter MacCallum Cancer Centre, Royal Melbourne Hospital, University of Melbourne, 305 Grattan Street, Melbourne, Victoria 3000, Australia
| | - Arnon P Kater
- Department of Hematology, Cancer Center Amsterdam, Lymphoma and Myeloma Research Center Amsterdam (LYMMCARE), Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands.
| | - Kirsten Fischer
- Department of Internal Medicine, Center of Integrated Oncology Cologne Bonn, University Hospital, German CLL Study Group, Gleueler Strasse 176, 50935 Cologne, Germany
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41
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Undetectable peripheral blood MRD should be the goal of venetoclax in CLL, but attainment plateaus after 24 months. Blood Adv 2021; 4:165-173. [PMID: 31935286 DOI: 10.1182/bloodadvances.2019000864] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Accepted: 12/03/2019] [Indexed: 12/25/2022] Open
Abstract
The highly selective BCL2 inhibitor venetoclax achieves deep responses in patients with relapsed or refractory (R/R) chronic lymphocytic leukemia (CLL), including undetectable minimal residual disease (uMRD). We retrospectively reviewed 62 patients with CLL treated with venetoclax to investigate the performance of peripheral blood (PB) compared with bone marrow (BM) assessment of MRD; the kinetics, clinicopathological associations, and longer-term outcomes of uMRD attainment and recrudescence; and the ability of venetoclax dose escalation to deepen responses. Among 16 patients who achieved PB uMRD and had contemporaneous BM assessments, 13 (81%) had confirmed BM uMRD, and patients with PB uMRD had outcomes at least as favorable as those with BM uMRD for time to progression, overall survival, and MRD recrudescence. Excluding 2 patients lacking earlier assessment, the median time to PB uMRD was 18 (range, 5-26) months, with 90% of instances achieved by 24 months. There was no new PB uMRD attainment after 24 months without treatment intensification. The dominant association with earlier attainment of uMRD was concurrent rituximab (P = .012). Complex karyotype was associated with inferior uMRD attainment after 12 months of therapy (P = .015), and patients attaining uMRD whose disease harbored TP53 abnormalities demonstrated a trend toward earlier recrudescence (P = .089). Of patients who received venetoclax dose escalations, 4 (27%) of 15 achieved improvements in response. For patients with R/R CLL receiving venetoclax, PB uMRD commonly correlates with BM uMRD and is associated with a comparable longer-term prognosis. Concurrent rituximab augments uMRD attainment, but dose escalation and further treatment beyond 24 months infrequently deepen responses.
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42
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Alig S, Macaulay CW, Kurtz DM, Dührsen U, Hüttmann A, Schmitz C, Jin MC, Sworder BJ, Garofalo A, Shahrokh Esfahani M, Nabet BY, Soo J, Scherer F, Craig AFM, Casasnovas O, Westin JR, Gaidano G, Rossi D, Roschewski M, Wilson WH, Meignan M, Diehn M, Alizadeh AA. Short Diagnosis-to-Treatment Interval Is Associated With Higher Circulating Tumor DNA Levels in Diffuse Large B-Cell Lymphoma. J Clin Oncol 2021; 39:2605-2616. [PMID: 33909455 DOI: 10.1200/jco.20.02573] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
PURPOSE Patients with Diffuse Large B-cell Lymphoma (DLBCL) in need of immediate therapy are largely under-represented in clinical trials. The diagnosis-to-treatment interval (DTI) has recently been described as a metric to quantify such patient selection bias, with short DTI being associated with adverse risk factors and inferior outcomes. Here, we characterized the relationships between DTI, circulating tumor DNA (ctDNA), conventional risk factors, and clinical outcomes, with the goal of defining objective disease metrics contributing to selection bias. PATIENTS AND METHODS We evaluated pretreatment ctDNA levels in 267 patients with DLBCL treated across multiple centers in Europe and the United States using Cancer Personalized Profiling by Deep Sequencing. Pretreatment ctDNA levels were correlated with DTI, total metabolic tumor volumes (TMTVs), the International Prognostic Index (IPI), and outcome. RESULTS Short DTI was associated with advanced-stage disease (P < .001) and higher IPI (P < .001). We also found an inverse correlation between DTI and TMTV (RS = -0.37; P < .001). Similarly, pretreatment ctDNA levels were significantly associated with stage, IPI, and TMTV (all P < .001), demonstrating that both DTI and ctDNA reflect disease burden. Notably, patients with shorter DTI had higher pretreatment ctDNA levels (P < .001). Pretreatment ctDNA levels predicted short DTI independent of the IPI (P < .001). Although each risk factor was significantly associated with event-free survival in univariable analysis, ctDNA level was prognostic of event-free survival independent of DTI and IPI in multivariable Cox regression (ctDNA: hazard ratio, 1.5; 95% CI [1.2 to 2.0]; IPI: 1.1 [0.9 to 1.3]; -DTI: 1.1 [1.0 to 1.2]). CONCLUSION Short DTI largely reflects baseline tumor burden, which can be objectively measured using pretreatment ctDNA levels. Pretreatment ctDNA levels therefore have utility for quantifying and guarding against selection biases in prospective DLBCL clinical trials.
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Affiliation(s)
- Stefan Alig
- Department of Medicine, Divisions of Oncology and Hematology, Stanford University, Stanford, CA
| | - Charles W Macaulay
- Department of Medicine, Divisions of Oncology and Hematology, Stanford University, Stanford, CA
| | - David M Kurtz
- Department of Medicine, Divisions of Oncology and Hematology, Stanford University, Stanford, CA
| | - Ulrich Dührsen
- Department of Hematology, University Hospital of Essen, Essen, Germany
| | - Andreas Hüttmann
- Department of Hematology, University Hospital of Essen, Essen, Germany
| | - Christine Schmitz
- Department of Hematology, University Hospital of Essen, Essen, Germany
| | - Michael C Jin
- Department of Medicine, Divisions of Oncology and Hematology, Stanford University, Stanford, CA
| | - Brian J Sworder
- Department of Medicine, Divisions of Oncology and Hematology, Stanford University, Stanford, CA
| | - Andrea Garofalo
- Department of Medicine, Divisions of Oncology and Hematology, Stanford University, Stanford, CA
| | | | - Barzin Y Nabet
- Department of Radiation Oncology, Stanford University Medical Center, Stanford, CA
| | - Joanne Soo
- Department of Medicine, Divisions of Oncology and Hematology, Stanford University, Stanford, CA
| | - Florian Scherer
- Department of Medicine, Divisions of Oncology and Hematology, Stanford University, Stanford, CA.,Department Medicine I, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Alexander F M Craig
- Department of Medicine, Divisions of Oncology and Hematology, Stanford University, Stanford, CA
| | - Olivier Casasnovas
- Hematology Department, University Hospital F. Mitterrand and Inserm UMR 1231, Dijon, France
| | - Jason R Westin
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Gianluca Gaidano
- Division of Hematology, Department of Translational Medicine, University of Piemonte Orientale Amedeo Avogadro, Novara, Italy
| | - Davide Rossi
- Oncology Institute of Southern Switzerland and Institute of Oncology Research, Bellinzona, Switzerland
| | - Mark Roschewski
- National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Wyndham H Wilson
- National Cancer Institute, National Institutes of Health, Bethesda, MD
| | | | - Maximilian Diehn
- Department of Radiation Oncology, Stanford University Medical Center, Stanford, CA.,Stanford Cancer Institute, Institute for Stem Cell Biology & Regenerative Medicine, Stanford, CA
| | - Ash A Alizadeh
- Department of Medicine, Divisions of Oncology and Hematology, Stanford University, Stanford, CA.,Stanford Cancer Institute, Institute for Stem Cell Biology & Regenerative Medicine, Stanford, CA
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43
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The future of laboratory testing in chronic lymphocytic leukaemia. Pathology 2021; 53:377-384. [PMID: 33678426 DOI: 10.1016/j.pathol.2021.01.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 01/31/2021] [Accepted: 01/31/2021] [Indexed: 01/24/2023]
Abstract
Chronic lymphocytic leukaemia (CLL) is a malignant lymphoproliferative disorder characterised by the accumulation of dysfunctional B-lymphocytes in the blood and lymphoid tissues. It is a clonally complex disease with a high degree of both intra-tumoural and inter-patient heterogeneity. This variability leads to a wide range of clinical outcomes and highlights the critical need for accurate prognostic tests in CLL. With the advent of a range of new targeted agents for CLL in recent years, there is also a clinical need for improved predictive tests to therapy. This review of laboratory testing in CLL focuses on emerging technologies for prognostication including single nucleotide polymorphism microarray for karyotypic analysis, targeted next generation sequencing analysis of the immunoglobulin heavy chain variable region gene as well as genes recurrently mutated in the disease such as TP53, and detection of minimal residual disease.
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44
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Seth N, Mahajan V, Kedia S, Sutar A, Sehgal K. Minimal Residual Disease (MRD) detection in B- ALL – Experience of a standalone flow cytometry laboratory. PEDIATRIC HEMATOLOGY ONCOLOGY JOURNAL 2021. [DOI: 10.1016/j.phoj.2020.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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45
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Hedley BD, Cheng G, Keeney M, Kern W, Padurean A, Luider J, Chin‐Yee I, Lowes LE, Rohrbach J, Ortega R, Smit A, Lo K, Magari R, Tejidor L. A multicenter study evaluation of the ClearLLab 10C panels. CYTOMETRY. PART B, CLINICAL CYTOMETRY 2021; 100:225-234. [PMID: 32667744 PMCID: PMC8048967 DOI: 10.1002/cyto.b.21935] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 05/20/2020] [Accepted: 06/16/2020] [Indexed: 11/26/2022]
Abstract
Multiparameter flow cytometry plays an important role in the diagnosis, staging, and monitoring of patients with a suspected hematological malignancy. The ClearLLab 10C Panels consist of four reagent panels (B-Lineage Tube, T-Lineage Tube, and 2 Myeloid Lineage Tubes), each consisting of 10 color/10 antibody conjugates utilizing Beckman Coulters proprietary dry format optimized for investigating patients with suspected leukemia or lymphoma. A multicenter study was conducted to evaluate the performance of the ClearLLab 10C Panels for qualitative assessment of normal versus abnormal phenotype in peripheral blood, bone marrow, and lymph node samples with suspected hematological malignancies. ClearLLab 10C was compared to laboratory developed tests (LDTs) and final clinical diagnosis. Four clinical sites were used to enroll patient's spent specimens (n = 453); three laboratories in North America and one in Europe. Of the 453 specimens, 198 had no malignancy and 255 contained an abnormal population. The diagnostic accuracy of the ClearLLab 10C Panels was achieved with sensitivity of 96% and specificity of 95% with respect to patient final clinical diagnosis. The agreement of phenotyping between ClearLLab10C Panels and LDTs was 98%. Any differences noted between ClearLLab 10C and LDT were due to either the presence of populations below the level of detection, the lack of clinical information provided to the evaluators, or marker(s) not present in these panels. Overall, the ClearLLab 10C demonstrated excellent agreement to LDTs and diagnosis. These four reagent panels can be adopted by individual laboratories to assess the presence or absence of malignancy.
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Affiliation(s)
- Benjamin D. Hedley
- Department of Pathology and Laboratory MedicineLondon Health Sciences CenterLondonOntarioCanada
| | - Guoyan Cheng
- Department of Clinical Research, Beckman Coulter, Inc.MiamiFloridaUSA
| | - Michael Keeney
- Department of Pathology and Laboratory MedicineLondon Health Sciences CenterLondonOntarioCanada
| | - Wolfgang Kern
- MLL Munich Leukemia LaboratoryDepartment of ImmunophenotypingMunichGermany
| | - Adrian Padurean
- Neogenomics Laboratory, Inc.Department of Flow CytometryFort MyersFloridaUSA
| | - Joanne Luider
- Calgary Laboratory ServicesFlow Cytometry CalgaryAlbertaCanada
| | - Ian Chin‐Yee
- Department of Pathology and Laboratory MedicineLondon Health Sciences CenterLondonOntarioCanada
| | - Lori E. Lowes
- Department of Pathology and Laboratory MedicineLondon Health Sciences CenterLondonOntarioCanada
| | - Justin Rohrbach
- Department of Clinical Research, Beckman Coulter, Inc.MiamiFloridaUSA
| | - Robert Ortega
- Department of Clinical Research, Beckman Coulter, Inc.MiamiFloridaUSA
| | - Astrid Smit
- Department of Clinical Research, Beckman Coulter, Inc.MiamiFloridaUSA
| | - Ka‐Wai Lo
- Department of Clinical Research, Beckman Coulter, Inc.MiamiFloridaUSA
| | - Robert Magari
- Department of Clinical Research, Beckman Coulter, Inc.MiamiFloridaUSA
| | - Liliana Tejidor
- Department of Clinical Research, Beckman Coulter, Inc.MiamiFloridaUSA
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46
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Wiestner A. Validating genomic tools for precision medicine in chronic lymphocytic leukemia: ERIC leads the way. Haematologica 2021; 106:656-658. [PMID: 33645943 PMCID: PMC7927879 DOI: 10.3324/haematol.2020.270652] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Indexed: 12/13/2022] Open
Affiliation(s)
- Adrian Wiestner
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.
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47
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Clinical and biological implications of target occupancy in CLL treated with the BTK inhibitor acalabrutinib. Blood 2021; 136:93-105. [PMID: 32202637 DOI: 10.1182/blood.2019003715] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Accepted: 03/03/2020] [Indexed: 01/14/2023] Open
Abstract
Inhibition of the B-cell receptor pathway, and specifically of Bruton tyrosine kinase (BTK), is a leading therapeutic strategy in B-cell malignancies, including chronic lymphocytic leukemia (CLL). Target occupancy is a measure of covalent binding to BTK and has been applied as a pharmacodynamic parameter in clinical studies of BTK inhibitors. However, the kinetics of de novo BTK synthesis, which determines occupancy, and the relationship between occupancy, pathway inhibition and clinical outcomes remain undefined. This randomized phase 2 study investigated the safety, efficacy, and pharmacodynamics of a selective BTK inhibitor acalabrutinib at 100 mg twice daily (BID) or 200 mg once daily (QD) in 48 patients with relapsed/refractory or high-risk treatment-naïve CLL. Acalabrutinib was well tolerated and yielded an overall response rate (ORR) of partial response or better of 95.8% (95% confidence interval [CI], 78.9-99.9) and an estimated progression-free survival (PFS) rate at 24 months of 91.5% (95% CI, 70.0-97.8) with BID dosing and an ORR of 79.2% (95% CI, 57.9-92.9) and an estimated PFS rate at 24 months of 87.2% (95% CI, 57.2-96.7) with QD dosing. BTK resynthesis was faster in patients with CLL than in healthy volunteers. BID dosing maintained higher BTK occupancy and achieved more potent pathway inhibition compared with QD dosing. Small increments in occupancy attained by BID dosing relative to QD dosing compounded over time to augment downstream biological effects. The impact of BTK occupancy on long-term clinical outcomes remains to be determined. This trial was registered at www.clinicaltrials.gov as #NCT02337829.
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48
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Gopalakrishnan S, Wierda W, Chyla B, Menon R, Miles D, Humerickhouse R, Awni W, Salem AH, Mensing S, Freise KJ. Integrated Mechanistic Model of Minimal Residual Disease Kinetics With Venetoclax Therapy in Chronic Lymphocytic Leukemia. Clin Pharmacol Ther 2021; 109:424-432. [PMID: 32749675 DOI: 10.1002/cpt.2005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 07/26/2020] [Indexed: 12/21/2022]
Abstract
Minimal residual disease (MRD) is an important emerging clinical end point in chronic lymphocytic leukemia (CLL). The objective of this research was to develop an integrated mechanistic model to evaluate the impact of venetoclax-rituximab combination therapy on MRD kinetics. Using data from 435 patients with relapsed or refractory CLL, an integrated model was developed and validated that accounted for venetoclax dosing and pharmacokinetics, rituximab treatment, absolute lymphocyte count, and blood and bone marrow (BM) MRD data. Simulations of venetoclax-rituximab (six cycles) combination predicted the proportion (90% confidence interval) of patients with BM MRD below 10-4 to be 57% (54-61%) and 63% (59-67%) at 12 and 24 months of treatment, respectively. Continued venetoclax treatment to 48 months only increased the predicted rate of negative BM MRD to 66% (63-70%). These results indicate that treatment with venetoclax-rituximab combination for a finite 2-year period would nearly maximize the rate of negative BM MRD (< 10-4 ). Preliminary clinical data agree with these predictions and more long-term follow-up data are awaited to confirm the same.
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Affiliation(s)
- Sathej Gopalakrishnan
- Clinical Pharmacology and Pharmacometrics, AbbVie Inc., North Chicago, Illinois, USA
| | - William Wierda
- University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Brenda Chyla
- Oncology Biomarkers, AbbVie Inc., North Chicago, Illinois, USA
| | - Rajeev Menon
- Clinical Pharmacology and Pharmacometrics, AbbVie Inc., North Chicago, Illinois, USA
| | - Dale Miles
- Genentech Inc., South San Francisco, California, USA
| | | | - Walid Awni
- Clinical Pharmacology and Pharmacometrics, AbbVie Inc., North Chicago, Illinois, USA
| | - Ahmed Hamed Salem
- Clinical Pharmacology and Pharmacometrics, AbbVie Inc., North Chicago, Illinois, USA
- Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt
| | - Sven Mensing
- Clinical Pharmacology and Pharmacometrics, AbbVie Inc., North Chicago, Illinois, USA
| | - Kevin J Freise
- Clinical Pharmacology and Pharmacometrics, AbbVie Inc., North Chicago, Illinois, USA
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49
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Abstract
Patients with chronic lymphocytic leukemia can be divided into three categories: those who are minimally affected by the problem, often never requiring therapy; those that initially follow an indolent course but subsequently progress and require therapy; and those that from the point of diagnosis exhibit an aggressive disease necessitating treatment. Likewise, such patients pass through three phases: development of the disease, diagnosis, and need for therapy. Finally, the leukemic clones of all patients appear to require continuous input from the exterior, most often through membrane receptors, to allow them to survive and grow. This review is presented according to the temporal course that the disease follows, focusing on those external influences from the tissue microenvironment (TME) that support the time lines as well as those internal influences that are inherited or develop as genetic and epigenetic changes occurring over the time line. Regarding the former, special emphasis is placed on the input provided via the B-cell receptor for antigen and the C-X-C-motif chemokine receptor-4 and the therapeutic agents that block these inputs. Regarding the latter, prominence is laid upon inherited susceptibility genes and the genetic and epigenetic abnormalities that lead to the developmental and progression of the disease.
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MESH Headings
- Disease Progression
- Humans
- Immunotherapy
- Leukemia, Lymphocytic, Chronic, B-Cell/diagnosis
- Leukemia, Lymphocytic, Chronic, B-Cell/etiology
- Leukemia, Lymphocytic, Chronic, B-Cell/genetics
- Leukemia, Lymphocytic, Chronic, B-Cell/therapy
- Mutation
- PAX5 Transcription Factor/metabolism
- Receptors, Antigen, B-Cell
- Signal Transduction
- Tumor Microenvironment
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Affiliation(s)
- Nicholas Chiorazzi
- The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York 11030, USA
| | - Shih-Shih Chen
- The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York 11030, USA
| | - Kanti R Rai
- The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York 11549, USA
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50
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Abstract
Objectives: CD43 can be useful in routine flow cytometry. We conducted a systematic review aiming to describe when CD43 is used by flow cytometry in malignant hematology and to determine its value in these settings. Methods: Systematic review of MEDLINE (search 'CD43' AND 'flow cytometry,' starting in 2010). Results: Twenty-one of 103 entries retrieved were included in this systematic review. CD43 is used in three settings: 1) in the classification of mature B cell lymphoproliferative disorders, 2) as part of a strategy to quantify residual disease in chronic lymphocytic leukemia (CLL) and 3) to help classify CD10-positive B cell populations. In this section, the published data is summarized, the clinical usefulness in each of these settings is evaluated and illustrative cases are shown. Conclusion: CD43 has a growing role in the diagnosis and management of B cell malignancies; it has become essential for the classification of B cell lymphoproliferative disorders and may be of help in the differential diagnosis of CD10-positive lymphomas by FC. It is also required for optimal quantification of CLL residual disease, which will soon be used to guide therapeutic decisions.
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Affiliation(s)
- Marc Sorigue
- Hematology Laboratory, ICO-Hospital Germans Trias I Pujol, Functional Cytomics- IJC, Universitat Autònoma De Barcelona , Badalona, Spain
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