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Olejarz W, Sadowski K, Szulczyk D, Basak G. Advancements in Personalized CAR-T Therapy: Comprehensive Overview of Biomarkers and Therapeutic Targets in Hematological Malignancies. Int J Mol Sci 2024; 25:7743. [PMID: 39062986 PMCID: PMC11276786 DOI: 10.3390/ijms25147743] [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: 06/30/2024] [Revised: 07/12/2024] [Accepted: 07/12/2024] [Indexed: 07/28/2024] Open
Abstract
Chimeric antigen receptor T-cell (CAR-T) therapy is a novel anticancer therapy using autologous or allogeneic T-cells. To date, six CAR-T therapies for specific B-cell acute lymphoblastic leukemia (B-ALL), non-Hodgkin lymphomas (NHL), and multiple myeloma (MM) have been approved by the Food and Drug Administration (FDA). Significant barriers to the effectiveness of CAR-T therapy include cytokine release syndrome (CRS), neurotoxicity in the case of Allogeneic Stem Cell Transplantation (Allo-SCT) graft-versus-host-disease (GVHD), antigen escape, modest antitumor activity, restricted trafficking, limited persistence, the immunosuppressive microenvironment, and senescence and exhaustion of CAR-Ts. Furthermore, cancer drug resistance remains a major problem in clinical practice. CAR-T therapy, in combination with checkpoint blockades and bispecific T-cell engagers (BiTEs) or other drugs, appears to be an appealing anticancer strategy. Many of these agents have shown impressive results, combining efficacy with tolerability. Biomarkers like extracellular vesicles (EVs), cell-free DNA (cfDNA), circulating tumor (ctDNA) and miRNAs may play an important role in toxicity, relapse assessment, and efficacy prediction, and can be implicated in clinical applications of CAR-T therapy and in establishing safe and efficacious personalized medicine. However, further research is required to fully comprehend the particular side effects of immunomodulation, to ascertain the best order and combination of this medication with conventional chemotherapy and targeted therapies, and to find reliable predictive biomarkers.
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Affiliation(s)
- Wioletta Olejarz
- Department of Biochemistry and Pharmacogenomics, Faculty of Pharmacy, Medical University of Warsaw, 02-097 Warsaw, Poland;
- Centre for Preclinical Research, Medical University of Warsaw, 02-097 Warsaw, Poland
| | - Karol Sadowski
- Department of Biochemistry and Pharmacogenomics, Faculty of Pharmacy, Medical University of Warsaw, 02-097 Warsaw, Poland;
- Centre for Preclinical Research, Medical University of Warsaw, 02-097 Warsaw, Poland
- Department of Hematology, Transplantation and Internal Medicine, Medical University of Warsaw, 02-097 Warsaw, Poland;
| | - Daniel Szulczyk
- Chair and Department of Biochemistry, The Medical University of Warsaw, 02-097 Warsaw, Poland;
| | - Grzegorz Basak
- Department of Hematology, Transplantation and Internal Medicine, Medical University of Warsaw, 02-097 Warsaw, Poland;
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2
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van der Velden VHJ, Dombrink I, Alten J, Cazzaniga G, Clappier E, Drandi D, Eckert C, Fronkova E, Hancock J, Kotrova M, Kraemer R, Montonen M, Pfeifer H, Pott C, Raff T, Trautmann H, Cavé H, Schäfer BW, van Dongen JJM, Trka J, Brüggemann M. Analysis of measurable residual disease by IG/TR gene rearrangements: quality assurance and updated EuroMRD guidelines. Leukemia 2024; 38:1315-1322. [PMID: 38744919 PMCID: PMC11147754 DOI: 10.1038/s41375-024-02272-0] [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: 01/13/2024] [Revised: 04/22/2024] [Accepted: 04/29/2024] [Indexed: 05/16/2024]
Abstract
Minimal/measurable residual disease (MRD) diagnostics using real-time quantitative PCR analysis of rearranged immunoglobulin and T-cell receptor gene rearrangements are nowadays implemented in most treatment protocols for patients with acute lymphoblastic leukemia (ALL). Within the EuroMRD Consortium, we aim to provide comparable, high-quality MRD diagnostics, allowing appropriate risk-group classification for patients and inter-protocol comparisons. To this end, we set up a quality assessment scheme, that was gradually optimized and updated over the last 20 years, and that now includes participants from around 70 laboratories worldwide. We here describe the design and analysis of our quality assessment scheme. In addition, we here report revised data interpretation guidelines, based on our newly generated data and extensive discussions between experts. The main novelty is the partial re-definition of the "positive below quantitative range" category by two new categories, "MRD low positive, below quantitative range" and "MRD of uncertain significance". The quality assessment program and revised guidelines will ensure reproducible and accurate MRD data for ALL patients. Within the Consortium, similar programs and guidelines have been introduced for other lymphoid diseases (e.g., B-cell lymphoma), for new technological platforms (e.g., digital droplet PCR or Next-Generation Sequencing), and for other patient-specific MRD PCR-based targets (e.g., fusion genes).
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Affiliation(s)
- Vincent H J van der Velden
- Laboratory Medical Immunology, Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
| | - Isabel Dombrink
- Department of Internal Medicine II, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Julia Alten
- Department of Pediatrics, University Hospital of Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Giovanni Cazzaniga
- Centro Tettamanti, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
- School of Medicine, University of Milano-Bicocca, Monza, Italy
| | - Emmanuelle Clappier
- Hematology Laboratory, Saint-Louis Hospital, Paris Cité University, Paris, France
- Université Paris-Cité, Paris, France
| | - Daniela Drandi
- Department of Molecular Biotechnology and health sciences, Hematology Division, University of Torino, Torino, Italy
| | - Cornelia Eckert
- Department of Pediatric Oncology and Hematology, Charité - Universitätsmedizin Berlin, Berlin, Germany
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Eva Fronkova
- CLIP, Department of Pediatric Hematology and Oncology, Second Faculty of Medicine and University Hospital Motol, Charles University, Prague, Czech Republic
| | - Jeremy Hancock
- Bristol MRD Group, Bristol Genetics Laboratory, Southmead Hospital, Bristol, UK
| | - Michaela Kotrova
- Department of Internal Medicine II, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Rebekka Kraemer
- Department of Internal Medicine II, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Mirkka Montonen
- Tyks Laboratories, Genomics Department, Turku University Hospital, Turku, Finland
| | - Heike Pfeifer
- Department of Hematology, University Hospital Frankfurt, Frankfurt, Germany
| | - Christiane Pott
- Department of Internal Medicine II, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Thorsten Raff
- Department of Internal Medicine II, University Hospital Schleswig-Holstein, Kiel, Germany
- Military Medical City Hospital, Doha, Qatar
| | - Heiko Trautmann
- Department of Internal Medicine II, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Hélène Cavé
- Hematology Laboratory, Saint-Louis Hospital, Paris Cité University, Paris, France
- Department of Genetics, University Hospital Robert Debré, Paris, France
| | | | - Jacques J M van Dongen
- Centro de Investigación del Cáncer-Instituto de Biología Molecular y Celular del Cáncer (CIC-IBMCC, USAL-CSIC-FICUS) and Department of Medicine, University of Salamanca, Salamanca, Spain
- European Scientific foundation for Laboratory Hemato Oncology (ESLHO), Zutphen, The Netherlands
- Department of Immunology, LUMC, Leiden, The Netherlands
| | - Jan Trka
- CLIP, Department of Pediatric Hematology and Oncology, Second Faculty of Medicine and University Hospital Motol, Charles University, Prague, Czech Republic
| | - Monika Brüggemann
- Department of Internal Medicine II, University Hospital Schleswig-Holstein, Kiel, Germany
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3
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Singh AP, Courville EL. Advances in Monitoring and Prognostication for Lymphoma by Flow Cytometry. Clin Lab Med 2023; 43:351-361. [PMID: 37481316 DOI: 10.1016/j.cll.2023.04.010] [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] [Indexed: 07/24/2023]
Abstract
Flow cytometry (FC) is a well-established method important in the diagnosis and subclassification of lymphoma. In this article, the role of FC in lymphoma prognostication will be explored, and the clinical role for FC minimal/measurable residual disease testing as a monitoring tool for mature lymphoma will be introduced. Potential pitfalls of monitoring for residual/recurrent disease following immunotherapy will be presented.
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Affiliation(s)
- Amrit P Singh
- Department of Pathology, University of Virginia Health, PO Box 800214, Charlottesville, VA 22908, USA
| | - Elizabeth L Courville
- Department of Pathology, University of Virginia Health, PO Box 800214, Charlottesville, VA 22908, USA.
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4
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Medina-Herrera A, Sarasquete ME, Jiménez C, Puig N, García-Sanz R. Minimal Residual Disease in Multiple Myeloma: Past, Present, and Future. Cancers (Basel) 2023; 15:3687. [PMID: 37509348 PMCID: PMC10377959 DOI: 10.3390/cancers15143687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 07/17/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023] Open
Abstract
Responses to treatment have improved over the last decades for patients with multiple myeloma. This is a consequence of the introduction of new drugs that have been successfully combined in different clinical contexts: newly diagnosed, transplant-eligible or ineligible patients, as well as in the relapsed/refractory setting. However, a great proportion of patients continue to relapse, even those achieving complete response, which underlines the need for updated response criteria. In 2014, the international myeloma working group established new levels of response, prompting the evaluation of minimal residual disease (MRD) for those patients already in complete or stringent complete response as defined by conventional serological assessments: the absence of tumor plasma cells in 100,000 total cells or more define molecular and immunophenotypic responses by next-generation sequencing and flow cytometry, respectively. In this review, we describe all the potential methods that may be used for MRD detection based on the evidence found in the literature, paying special attention to their advantages and pitfalls from a critical perspective.
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Affiliation(s)
- Alejandro Medina-Herrera
- Departament of Hematology, University Hospital of Salamanca (HUSA/IBSAL), CIBERONC, CIC-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
| | - María Eugenia Sarasquete
- Departament of Hematology, University Hospital of Salamanca (HUSA/IBSAL), CIBERONC, CIC-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
| | - Cristina Jiménez
- Departament of Hematology, University Hospital of Salamanca (HUSA/IBSAL), CIBERONC, CIC-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
| | - Noemí Puig
- Departament of Hematology, University Hospital of Salamanca (HUSA/IBSAL), CIBERONC, CIC-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
| | - Ramón García-Sanz
- Departament of Hematology, University Hospital of Salamanca (HUSA/IBSAL), CIBERONC, CIC-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
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5
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Assanto GM, Del Giudice I, Della Starza I, Soscia R, Cavalli M, Cola M, Bellomarino V, Di Trani M, Guarini A, Foà R. Research Topic: Measurable Residual Disease in Hematologic Malignancies. Can digital droplet PCR improve measurable residual disease monitoring in chronic lymphoid malignancies? Front Oncol 2023; 13:1152467. [PMID: 36998457 PMCID: PMC10043164 DOI: 10.3389/fonc.2023.1152467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 03/01/2023] [Indexed: 03/17/2023] Open
Abstract
Minimal/measurable residual disease (MRD) monitoring is progressively changing the management of hematologic malignancies. The possibility of detecting the persistence/reappearance of disease in patients in apparent clinical remission offers a refined risk stratification and a treatment decision making tool. Several molecular techniques are employed to monitor MRD, from conventional real-time quantitative polymerase chain reaction (RQ-PCR) to next generation sequencing and digital droplet PCR (ddPCR), in different tissues or compartments through the detection of fusion genes, immunoglobulin and T-cell receptor gene rearrangements or disease-specific mutations. RQ-PCR is still the gold standard for MRD analysis despite some limitations. ddPCR, considered the third-generation PCR, yields a direct, absolute, and accurate detection and quantification of low-abundance nucleic acids. In the setting of MRD monitoring it carries the major advantage of not requiring a reference standard curve built with the diagnostic sample dilution and of allowing to reduce the number of samples below the quantitative range. At present, the broad use of ddPCR to monitor MRD in the clinical practice is limited by the lack of international guidelines. Its application within clinical trials is nonetheless progressively growing both in acute lymphoblastic leukemia as well as in chronic lymphocytic leukemia and non-Hodgkin lymphomas. The aim of this review is to summarize the accumulating data on the use of ddPCR for MRD monitoring in chronic lymphoid malignancies and to highlight how this new technique is likely to enter into the clinical practice.
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Affiliation(s)
| | - Ilaria Del Giudice
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
- *Correspondence: Ilaria Del Giudice, ; Robin Foà,
| | - Irene Della Starza
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
- Gruppo Italiano Malattie Ematologiche dell'Adulto (GIMEMA), Fondazione GIMEMA Franco Mandelli Onlus, Rome, Italy
| | - Roberta Soscia
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
| | - Marzia Cavalli
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
| | - Mattia Cola
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
| | - Vittorio Bellomarino
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
| | - Mariangela Di Trani
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
| | - Anna Guarini
- Department of Molecular Medicine, Sapienza University, Rome, Italy
| | - Robin Foà
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
- *Correspondence: Ilaria Del Giudice, ; Robin Foà,
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6
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Ferrero S, Grimaldi D, Genuardi E, Drandi D, Zaccaria GM, Alessandria B, Ghislieri M, Ferrante M, Evangelista A, Mantoan B, De Luca G, Stefani PM, Benedetti F, Casaroli I, Zanni M, Castellino C, Pavone V, Petrini M, Re F, Hohaus S, Musuraca G, Cascavilla N, Ghiggi C, Liberati AM, Cortelazzo S, Ladetto M. Punctual and kinetic MRD analysis from the Fondazione Italiana Linfomi MCL0208 phase 3 trial in mantle cell lymphoma. Blood 2022; 140:1378-1389. [PMID: 35737911 PMCID: PMC9507010 DOI: 10.1182/blood.2021014270] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 05/27/2022] [Indexed: 11/20/2022] Open
Abstract
Minimal residual disease (MRD) analysis is a known predictive tool in mantle cell lymphoma (MCL). We describe MRD results from the Fondazione Italiana Linfomi phase 3 MCL0208 prospective clinical trial assessing lenalidomide (LEN) maintenance vs observation after autologous stem cell transplantation (ASCT) in the first prospective comprehensive analysis of different techniques, molecular markers, and tissues (peripheral blood [PB] and bone marrow [BM]), taken at well-defined time points. Among the 300 patients enrolled, a molecular marker was identified in 250 (83%), allowing us to analyze 234 patients and 4351 analytical findings from 10 time points. ASCT induced high rates of molecular remission (91% in PB and 83% in BM, by quantitative real-time polymerase chain reaction [RQ-PCR]). Nevertheless, the number of patients with persistent clinical and molecular remission decreased over time in both arms (up to 30% after 36 months). MRD predicted early progression and long-term outcome, particularly from 6 months after ASCT (6-month time to progression [TTP] hazard ratio [HR], 3.83; P < .001). In single-timepoint analysis, BM outperformed PB, and RQ-PCR was more reliable, while nested PCR appeared applicable to a larger number of patients (234 vs 176). To improve MRD performance, we developed a time-varying kinetic model based on regularly updated MRD results and the MIPI (Mantle Cell Lymphoma International Prognostic Index), showing an area under the ROC (Receiver Operating Characteristic) curve (AUROC) of up to 0.87 using BM. Most notably, PB reached an AUROC of up to 0.81; with kinetic analysis, it was comparable to BM in performance. MRD is a powerful predictor over the entire natural history of MCL and is suitable for models with a continuous adaptation of patient risk. The study can be found in EudraCT N. 2009-012807-25 (https://eudract.ema.europa.eu/).
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Affiliation(s)
- Simone Ferrero
- Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy
- AOU Città della Salute e della Scienza di Torino, Torino, Italy
| | - Daniele Grimaldi
- Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy
- Hematology Division, AO S.Croce e Carle, Cuneo, Italy
| | - Elisa Genuardi
- Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy
| | - Daniela Drandi
- Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy
| | - Gian Maria Zaccaria
- Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy
- Hematology and Cell Therapy Unit, IRCCS Istituto Tumori Giovanni Paolo II, Bari, Italy
| | - Beatrice Alessandria
- Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy
| | - Marco Ghislieri
- PoliToBIOMed Lab, Politecnico di Torino, Torino, Italy
- Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy
| | - Martina Ferrante
- Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy
| | - Andrea Evangelista
- Unit of Cancer Epidemiology, CPO, AOU Città della Salute e della Scienza di Torino, Torino, Italy
| | - Barbara Mantoan
- Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy
| | - Gabriele De Luca
- Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy
| | | | - Fabio Benedetti
- Department of Medicine, Section of Hematology and Bone Marrow Transplant Unit, University of Verona, Verona, Italy
| | | | - Manuela Zanni
- Division of Hematology, Antonio e Biagio e Cesare Arrigo Hospital, Alessandria, Italy
| | | | | | | | - Francesca Re
- Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Stefan Hohaus
- Hematology Unit, Università Cattolica S.Cuore; Roma, Italy
| | - Gerardo Musuraca
- Department of Hematology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS
| | - Nicola Cascavilla
- Hematology, Casa Sollievo della Sofferenza IRCCS Hospital, San Giovanni Rotondo, Italy
| | - Chiara Ghiggi
- Department of Hematology, San Martino Hospital and University, Genova, Italy
| | - Anna Marina Liberati
- Department of Hematology, A.O. Santa Maria Terni, University of Perugia, Perugia, Italy; and
| | | | - Marco Ladetto
- Division of Hematology, Antonio e Biagio e Cesare Arrigo Hospital, Alessandria, Italy
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7
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Genuardi E, Alessandria B, Civita AM, Ferrero S. Targeted Locus Amplification as Marker Screening Approach to Detect Immunoglobulin (IG) Translocations in B-Cell Non-Hodgkin Lymphomas. METHODS IN MOLECULAR BIOLOGY (CLIFTON, N.J.) 2022; 2453:119-132. [PMID: 35622324 DOI: 10.1007/978-1-0716-2115-8_8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Although MRD monitoring by the classic polymerase chain reaction (PCR) approach is a powerful outcome predictor, about 20% of mantle cell lymphoma (MCL) and 50% of follicular lymphoma (FL) patients still lack a molecular marker and are thus resulting not eligible for MRD monitoring. Targeted locus amplification (TLA), a new NGS technology, has been revealed as a feasible marker screening approach able to identify uncommon B-cell leukemia/lymphoma 1 (BCL1) and B-cell leukemia/lymphoma 2 (BCL2) rearrangements in MCL and FL cases defined as having "no marker" by the classic PCR approach.
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Affiliation(s)
- Elisa Genuardi
- Hematology Division, Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy
| | - Beatrice Alessandria
- Hematology Division, Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy
| | - Aurora Maria Civita
- Hematology Division, Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy
| | - Simone Ferrero
- Hematology Division, Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy. .,Hematology Division, AOU "Città della Salute e della Scienza di Torino", Torino, Italy.
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8
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Starza ID, Eckert C, Drandi D, Cazzaniga G. Minimal Residual Disease Analysis by Monitoring Immunoglobulin and T-Cell Receptor Gene Rearrangements by Quantitative PCR and Droplet Digital PCR. METHODS IN MOLECULAR BIOLOGY (CLIFTON, N.J.) 2022; 2453:79-89. [PMID: 35622321 DOI: 10.1007/978-1-0716-2115-8_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Analysis of immunoglobulin and T-cell receptor gene rearrangements by real-time quantitative polymerase chain reaction (RQ-PCR) is the gold standard for sensitive and accurate minimal residual disease (MRD) monitoring; it has been extensively standardized and guidelines have been developed within the EuroMRD consortium ( www.euromrd.org ). However, new generations of PCR-based methods are standing out as potential alternatives to RQ-PCR, such as digital PCR technology (dPCR), the third-generation implementation of conventional PCR, which has the potential to overcome some of the limitations of RQ-PCR such as allowing the absolute quantification of nucleic acid targets without the need for a calibration curve. During the last years, droplet digital PCR (ddPCR) technology has been compared to RQ-PCR in several hematologic malignancies showing its proficiency for MRD analysis. So far, no established guidelines for ddPCR MRD analysis and data interpretation have been defined and its potential is still under investigation. However, a major standardization effort is underway within the EuroMRD consortium ( www.euromrd.org ) for future application of ddPCR in standard clinical practice.
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Affiliation(s)
- Irene Della Starza
- Hematology, Department of Translational and Precision Medicine, "Sapienza" University of Rome, Rome, Italy.,GIMEMA Foundation, Rome, Italy
| | - Cornelia Eckert
- Department of Pediatric Oncology Hematology, Charité - Universitätsmedizin Berlin, Berlin, Germany.,German Cancer Consortium, and German Cancer Research Center, Heidelberg, Germany
| | - Daniela Drandi
- Hematology Division, Department of Molecular Biotechnology and Health sciences, University of Torino, Torino, Italy
| | - Giovanni Cazzaniga
- Centro Ricerca Tettamanti, Fondazione Tettamanti, Centro Maria Letizia Verga, Monza, Italy. .,Genetics, Department of Medicine and Surgery, University of Milan Bicocca, Monza, Italy.
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9
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Giudice ID, Starza ID, Foà R. Does MRD have a role in the management of iNHL? HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2021; 2021:320-330. [PMID: 34889425 PMCID: PMC8791119 DOI: 10.1182/hematology.2021000312] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Among indolent non-Hodgkin lymphomas (iNHLs), the analysis of measurable/minimal residual disease (MRD) has been extensively applied to follicular lymphoma (FL). Treatment combinations have deeply changed over the years, as well as the techniques to measure MRD, which is currently evaluated only in the setting of clinical trials. Here, we discuss the evidence on the role of molecular monitoring in the management of FL. Mature data support the quantification of molecular tumor burden at diagnosis as a tool to stratify patients in risk categories and of MRD evaluation at the end of treatment to predict progression-free survival and overall survival. Moreover, MRD deserves further studies as a tool to refine the clinical/metabolic response and to modulate treatment intensity/duration. Patients with a higher relapse probability can be identified, but the relevance of continuous molecular follow-up should be clarified by kinetic models of MRD analysis. Being the BCL2/heavy chain immunoglobulin gene hybrid rearrangement detectable in about 50% to 60% of advanced FL and in 30% of positron emission tomography/computed tomography-staged localized FL, technical advancements such as next-generation sequencing/target locus amplification may allow broadening the FL population carrying a molecular marker. Droplet digital polymerase chain reaction can better quantify MRD at low levels, and novel sources of DNA, such as cell-free DNA, may represent a noninvasive tool to monitor MRD. Finally, MRD in other iNHLs, such as lymphoplasmacytic lymphoma/Waldenström macroglobulinemia and marginal zone lymphoma, is beginning to be explored.
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Affiliation(s)
- Ilaria Del Giudice
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
| | - Irene Della Starza
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
| | - Robin Foà
- Hematology, Department of Translational and Precision Medicine, Sapienza University, Rome, Italy
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10
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Mika T, Thomson J, Nilius-Eliliwi V, Vangala D, Baraniskin A, Wulf G, Klein-Scory S, Schroers R. Quantification of cell-free DNA for the analysis of CD19-CAR-T cells during lymphoma treatment. Mol Ther Methods Clin Dev 2021; 23:539-550. [PMID: 34853800 PMCID: PMC8606297 DOI: 10.1016/j.omtm.2021.10.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 09/21/2021] [Accepted: 10/26/2021] [Indexed: 11/25/2022]
Abstract
Chimeric antigen receptor (CAR)-T cells are increasingly used for the treatment of hematologic malignancies. Treatment success relies highly upon sufficient expansion of CAR-T effector cells. Accordingly, longitudinal quantification of CAR-T cells during therapy is clinically important. Techniques to quantify CAR-T cells in patient blood samples are based on flow cytometry and PCR. However, cellular kinetics of CAR-T cells are very complex and under current investigation. In this study, feasibility of CAR-T cell quantification by cell-free DNA (cfDNA) was analyzed. cfDNA isolated from 74 blood samples of 12 patients during lymphoma treatment with the anti-CD19 CAR-T cell product axicabtagene ciloleucel (axi-cel) were analyzed. Concentrations of cfDNA specific for the CAR-T gene construct (cfCAR-DNA) and a reference gene were quantified by a newly designed digital-droplet PCR (ddPCR) assay. Detection and quantification of cfCAR-DNA was feasible and reliable for all patients included. Relative quantification of cfCAR-DNA compared to a reference gene, suitable for genomic DNA analysis, was heterogeneous in treatment responders and non-responders. In contrast, parallel analyses of cfCAR-DNA and reference cfDNA in a patient-specific approach gave insight into active lymphoma killing and treatment responses. In summary, plasma cfDNA determination in lymphoma patients is a promising tool for future clinical decision making.
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11
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Luminari S, Manni M, Galimberti S, Versari A, Tucci A, Boccomini C, Farina L, Olivieri J, Marcheselli L, Guerra L, Ferrero S, Arcaini L, Cavallo F, Kovalchuk S, Skrypets T, Del Giudice I, Chauvie S, Patti C, Stelitano C, Ricci F, Pinto A, Margiotta Casaluci G, Zilioli VR, Merli A, Ladetto M, Bolis S, Pavone V, Chiarenza A, Arcari A, Anastasia A, Dondi A, Mannina D, Federico M. Response-Adapted Postinduction Strategy in Patients With Advanced-Stage Follicular Lymphoma: The FOLL12 Study. J Clin Oncol 2021; 40:729-739. [PMID: 34709880 DOI: 10.1200/jco.21.01234] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
PURPOSE We compared 2 years of rituximab maintenance (RM) with a response-adapted postinduction approach in patients with follicular lymphoma who responded to induction immunochemotherapy. METHODS We randomly assigned treatment-naïve, advanced-stage, high-tumor burden follicular lymphoma patients to receive standard RM or a response-adapted postinduction approach on the basis of metabolic response and molecular assessment of minimal residual disease (MRD). The experimental arm used three types of postinduction therapies: for complete metabolic response (CMR) and MRD-negative patients, observation; for CMR and MRD-positive (end of induction or follow-up) patients, four doses of rituximab (one per week, maximum three courses) until MRD-negative; and for non-CMR patients, one dose of ibritumomab tiuxetan followed by standard RM. The study was designed as noninferiority trial with progression-free survival (PFS) as the primary end point. RESULTS Overall, 807 patients were randomly assigned. After a median follow-up of 53 months (range 1-92 months), patients in the standard arm had a significantly better PFS than those in the experimental arm (3-year PFS 86% v 72%; P < .001). The better PFS of the standard vs experimental arm was confirmed in all the study subgroups except non-CMR patients (n = 65; P = .274). The 3-year overall survival was 98% (95% CI, 96 to 99) and 97% (95% CI, 95 to 99) in the reference and experimental arms, respectively (P = .238). CONCLUSION A metabolic and molecular response-adapted therapy as assessed in the FOLL12 study was associated with significantly inferior PFS compared with 2-year RM. The better efficacy of standard RM was confirmed in the subgroup analysis and particularly for patients achieving both CMR and MRD-negative.
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Affiliation(s)
- Stefano Luminari
- Surgical, Medical and Dental Department of Morphological Sciences Related to Transplant, Oncology and Regenerative Medicine, University of Modena and Reggio Emilia, Modena, Italy.,Azienda Unitа Sanitaria Locale-IRCCS, Arcispedale Santa Maria Nuova-Ematologia, Reggio Emilia, Italy
| | - Martina Manni
- Surgical, Medical and Dental Department of Morphological Sciences Related to Transplant, Oncology and Regenerative Medicine, University of Modena and Reggio Emilia, Modena, Italy
| | - Sara Galimberti
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Annibale Versari
- Nuclear Medicine Division, Azienda USL IRCCS of Reggio Emilia, Reggio Emilia, Italy
| | | | - Carola Boccomini
- A.O.U. Città della Salute e della Scienza di Torino-SC Ematologia, Torino, Italy
| | - Lucia Farina
- Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Division of Hematology, Milano, Italy
| | - Jacopo Olivieri
- Azienda Sanitaria Universitaria Friuli Centrale (ASU FC), SOC Clinica Ematologica, Udine, Italy
| | | | - Luca Guerra
- School of Medicine and Surgery, University of Milan-Bicocca, Monza, Italy.,Nuclear Medicine, San Gerardo Hospital, ASST Monza, Italy
| | - Simone Ferrero
- A.O.U. Città della Salute e della Scienza di Torino, Ematologia Universitaria, Torino, Italy
| | - Luca Arcaini
- IRCCS Policlinico S. Matteo di Pavia, Div di Ematologia, Pavia, Italy
| | - Federica Cavallo
- A.O.U. Città della Salute e della Scienza di Torino, Ematologia Universitaria, Torino, Italy
| | - Sofya Kovalchuk
- Azienda Ospedaliera Universitaria Careggi, Unità funzionale di Ematologia, Firenze, Italy
| | - Tetiana Skrypets
- Surgical, Medical and Dental Department of Morphological Sciences Related to Transplant, Oncology and Regenerative Medicine, University of Modena and Reggio Emilia, Modena, Italy.,Clinical and Experimental Medicine (CEM), University of Modena and Reggio Emilia, Modena, Italy
| | - Ilaria Del Giudice
- Policlinico Umberto I, Università "La Sapienza," Istituto Ematologia, Dipartimento di Medicina Traslazionale e di Precisione, Roma, Italy
| | - Stephane Chauvie
- Medical Physics Division, Santa Croce e Carle Hospital, Cuneo, Italy
| | - Caterina Patti
- A.O. Ospedali Riuniti Villa Sofia-Cervello, Div di Ematologia, Palermo, Italy
| | - Caterina Stelitano
- Grande Ospedale Metropolitano Bianchi Melacrino Morelli-Ematologia, Reggio Calabria, Italy
| | | | - Antonello Pinto
- Istituto Nazionale Tumori, IRCCS Fondazione G. Pascale, UOC Ematologia Oncologica, Napoli, Italy
| | | | - Vittorio R Zilioli
- ASST Grande Ospedale Metropolitano Niguarda, SC Ematologia, Milano, Italy
| | - Anna Merli
- Ospedale degli Infermi di Rimini, U.O. di Ematologia, Rimini, Italy
| | - Marco Ladetto
- Dipartimento di Medicina Traslazionale Università del Piemonte Orientale, Alessandria, Italy.,SC Ematologia, AO SS Antonio e Biagio e Cesare Arrigo, Alessandria, Italy
| | | | - Vincenzo Pavone
- A.O. C. Panico, U.O.C Ematologia e Trapianto, Tricase, Italy
| | - Annalisa Chiarenza
- A.O.O. Policlinico "G. Rodolico-S. Marco," U.O.C. Ematologia, Catania, Italy
| | - Annalisa Arcari
- Ospedale Guglielmo da Saliceto, U.O.Ematologia, Piacenza, Italy
| | | | | | - Donato Mannina
- Azienda Ospedaliera Papardo-UOC di Ematologia, Messina, Italy
| | - Massimo Federico
- Surgical, Medical and Dental Department of Morphological Sciences Related to Transplant, Oncology and Regenerative Medicine, University of Modena and Reggio Emilia, Modena, Italy
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12
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Medina A, Jiménez C, Puig N, Sarasquete ME, Flores-Montero J, García-Álvarez M, Prieto-Conde I, Chillón C, Alcoceba M, González-Calle V, Gutiérrez NC, Jacobsen A, Vigil E, Hutt K, Huang Y, Orfao A, González M, Miller J, García-Sanz R. Interlaboratory Analytical Validation of a Next-Generation Sequencing Strategy for Clonotypic Assessment and Minimal Residual Disease Monitoring in Multiple Myeloma. Arch Pathol Lab Med 2021; 146:862-871. [PMID: 34619755 DOI: 10.5858/arpa.2021-0088-oa] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/14/2021] [Indexed: 11/06/2022]
Abstract
CONTEXT.— Minimal residual disease (MRD) is a major prognostic factor in multiple myeloma, although validated technologies are limited. OBJECTIVE.— To standardize the performance of the LymphoTrack next-generation sequencing (NGS) assays (Invivoscribe), targeting clonal immunoglobulin rearrangements, in order to reproduce the detection of tumor clonotypes and MRD quantitation in myeloma. DESIGN.— The quantification ability of the assay was evaluated through serial dilution experiments. Paired samples from 101 patients were tested by LymphoTrack, using Sanger sequencing and EuroFlow's next-generation flow (NGF) assay as validated references for diagnostic and follow-up evaluation, respectively. MRD studies using LymphoTrack were performed in parallel at 2 laboratories to evaluate reproducibility. RESULTS.— Sensitivity was set as 1.3 tumor cells per total number of input cells. Clonality was confirmed in 99% and 100% of cases with Sanger and NGS, respectively, showing great concordance (97.9%), although several samples had minor discordances in the nucleotide sequence of rearrangements. Parallel NGS was performed in 82 follow-up cases, achieving a median sensitivity of 0.001%, while for NGF, median sensitivity was 0.0002%. Reproducibility of LymphoTrack-based MRD studies (85.4%) and correlation with NGF (R2 > 0.800) were high. Bland-Altman tests showed highly significant levels of agreement between flow and sequencing. CONCLUSIONS.— Taken together, we have shown that LymphoTrack is a suitable strategy for clonality detection and MRD evaluation, with results comparable to gold standard procedures.
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Affiliation(s)
- Alejandro Medina
- From Departamento de Hematología, Hospital Universitario de Salamanca (HUSAL/IBSAL), Centro de Investigación del Cáncer - IBMCC (USAL-CSIC), CIBERONC-CB16/12/00233, Salamanca, Spain (Medina, Jiménez, Puig, Sarasquete, García-Álvarez, Prieto-Conde, Chillón, Alcoceba, González-Calle, Gutiérrez, González, García-Sanz)
| | - Cristina Jiménez
- From Departamento de Hematología, Hospital Universitario de Salamanca (HUSAL/IBSAL), Centro de Investigación del Cáncer - IBMCC (USAL-CSIC), CIBERONC-CB16/12/00233, Salamanca, Spain (Medina, Jiménez, Puig, Sarasquete, García-Álvarez, Prieto-Conde, Chillón, Alcoceba, González-Calle, Gutiérrez, González, García-Sanz)
| | - Noemí Puig
- From Departamento de Hematología, Hospital Universitario de Salamanca (HUSAL/IBSAL), Centro de Investigación del Cáncer - IBMCC (USAL-CSIC), CIBERONC-CB16/12/00233, Salamanca, Spain (Medina, Jiménez, Puig, Sarasquete, García-Álvarez, Prieto-Conde, Chillón, Alcoceba, González-Calle, Gutiérrez, González, García-Sanz)
| | - María Eugenia Sarasquete
- From Departamento de Hematología, Hospital Universitario de Salamanca (HUSAL/IBSAL), Centro de Investigación del Cáncer - IBMCC (USAL-CSIC), CIBERONC-CB16/12/00233, Salamanca, Spain (Medina, Jiménez, Puig, Sarasquete, García-Álvarez, Prieto-Conde, Chillón, Alcoceba, González-Calle, Gutiérrez, González, García-Sanz)
| | - Juan Flores-Montero
- Departamento de Citometría de Flujo, Laboratorio 11, Centro de Investigación del Cáncer - IBMCC (USAL-CSIC), CIBERONC-CB16/12/00400, Salamanca, Spain (Flores-Montero, Orfao)
| | - María García-Álvarez
- From Departamento de Hematología, Hospital Universitario de Salamanca (HUSAL/IBSAL), Centro de Investigación del Cáncer - IBMCC (USAL-CSIC), CIBERONC-CB16/12/00233, Salamanca, Spain (Medina, Jiménez, Puig, Sarasquete, García-Álvarez, Prieto-Conde, Chillón, Alcoceba, González-Calle, Gutiérrez, González, García-Sanz)
| | - Isabel Prieto-Conde
- From Departamento de Hematología, Hospital Universitario de Salamanca (HUSAL/IBSAL), Centro de Investigación del Cáncer - IBMCC (USAL-CSIC), CIBERONC-CB16/12/00233, Salamanca, Spain (Medina, Jiménez, Puig, Sarasquete, García-Álvarez, Prieto-Conde, Chillón, Alcoceba, González-Calle, Gutiérrez, González, García-Sanz)
| | - Carmen Chillón
- From Departamento de Hematología, Hospital Universitario de Salamanca (HUSAL/IBSAL), Centro de Investigación del Cáncer - IBMCC (USAL-CSIC), CIBERONC-CB16/12/00233, Salamanca, Spain (Medina, Jiménez, Puig, Sarasquete, García-Álvarez, Prieto-Conde, Chillón, Alcoceba, González-Calle, Gutiérrez, González, García-Sanz)
| | - Miguel Alcoceba
- From Departamento de Hematología, Hospital Universitario de Salamanca (HUSAL/IBSAL), Centro de Investigación del Cáncer - IBMCC (USAL-CSIC), CIBERONC-CB16/12/00233, Salamanca, Spain (Medina, Jiménez, Puig, Sarasquete, García-Álvarez, Prieto-Conde, Chillón, Alcoceba, González-Calle, Gutiérrez, González, García-Sanz)
| | - Verónica González-Calle
- From Departamento de Hematología, Hospital Universitario de Salamanca (HUSAL/IBSAL), Centro de Investigación del Cáncer - IBMCC (USAL-CSIC), CIBERONC-CB16/12/00233, Salamanca, Spain (Medina, Jiménez, Puig, Sarasquete, García-Álvarez, Prieto-Conde, Chillón, Alcoceba, González-Calle, Gutiérrez, González, García-Sanz)
| | - Norma C Gutiérrez
- From Departamento de Hematología, Hospital Universitario de Salamanca (HUSAL/IBSAL), Centro de Investigación del Cáncer - IBMCC (USAL-CSIC), CIBERONC-CB16/12/00233, Salamanca, Spain (Medina, Jiménez, Puig, Sarasquete, García-Álvarez, Prieto-Conde, Chillón, Alcoceba, González-Calle, Gutiérrez, González, García-Sanz)
| | - Austin Jacobsen
- Invivoscribe, Inc, San Diego, California (Jacobsen, Vigil, Hutt, Huang, Miller)
| | - Edgar Vigil
- Invivoscribe, Inc, San Diego, California (Jacobsen, Vigil, Hutt, Huang, Miller)
| | - Kasey Hutt
- Invivoscribe, Inc, San Diego, California (Jacobsen, Vigil, Hutt, Huang, Miller)
| | - Ying Huang
- Invivoscribe, Inc, San Diego, California (Jacobsen, Vigil, Hutt, Huang, Miller)
| | - Alberto Orfao
- Departamento de Citometría de Flujo, Laboratorio 11, Centro de Investigación del Cáncer - IBMCC (USAL-CSIC), CIBERONC-CB16/12/00400, Salamanca, Spain (Flores-Montero, Orfao)
| | - Marcos González
- From Departamento de Hematología, Hospital Universitario de Salamanca (HUSAL/IBSAL), Centro de Investigación del Cáncer - IBMCC (USAL-CSIC), CIBERONC-CB16/12/00233, Salamanca, Spain (Medina, Jiménez, Puig, Sarasquete, García-Álvarez, Prieto-Conde, Chillón, Alcoceba, González-Calle, Gutiérrez, González, García-Sanz)
| | - Jeffrey Miller
- Invivoscribe, Inc, San Diego, California (Jacobsen, Vigil, Hutt, Huang, Miller)
| | - Ramón García-Sanz
- From Departamento de Hematología, Hospital Universitario de Salamanca (HUSAL/IBSAL), Centro de Investigación del Cáncer - IBMCC (USAL-CSIC), CIBERONC-CB16/12/00233, Salamanca, Spain (Medina, Jiménez, Puig, Sarasquete, García-Álvarez, Prieto-Conde, Chillón, Alcoceba, González-Calle, Gutiérrez, González, García-Sanz)
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13
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Quality Assessment for PCR-based Minimal Residual Disease in Lymphoma: 10 Years of Cross-laboratory Standardization Process Within the Fondazione Italiana Linfomi MRD Network. Hemasphere 2021; 5:e639. [PMID: 34514343 PMCID: PMC8423385 DOI: 10.1097/hs9.0000000000000639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 08/05/2021] [Indexed: 11/26/2022] Open
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14
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Bohers E, Viailly PJ, Jardin F. cfDNA Sequencing: Technological Approaches and Bioinformatic Issues. Pharmaceuticals (Basel) 2021; 14:ph14060596. [PMID: 34205827 PMCID: PMC8234829 DOI: 10.3390/ph14060596] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 06/18/2021] [Accepted: 06/18/2021] [Indexed: 12/14/2022] Open
Abstract
In the era of precision medicine, it is crucial to identify molecular alterations that will guide the therapeutic management of patients. In this context, circulating tumoral DNA (ctDNA) released by the tumor in body fluids, like blood, and carrying its molecular characteristics is becoming a powerful biomarker for non-invasive detection and monitoring of cancer. Major recent technological advances, especially in terms of sequencing, have made possible its analysis, the challenge still being its reliable early detection. Different parameters, from the pre-analytical phase to the choice of sequencing technology and bioinformatic tools can influence the sensitivity of ctDNA detection.
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15
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Silkenstedt E, Linton K, Dreyling M. Mantle cell lymphoma - advances in molecular biology, prognostication and treatment approaches. Br J Haematol 2021; 195:162-173. [PMID: 33783838 DOI: 10.1111/bjh.17419] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Mantle cell lymphoma (MCL) is clinically characterised by its heterogenous behaviour with courses ranging from indolent cases that do not require therapy for years to highly aggressive MCL with a very limited prognosis. A better understanding of the complex biology of MCL has already led to the approval of several innovative agents, expanding the landscape of MCL therapies and improving therapeutic options especially for refractory/relapsed (R/R) disease. Nevertheless, to further optimise MCL treatment, early identification of individual risk profile and risk-adapted, patient-tailored choice of therapeutic strategy needs to be prospectively incorporated into clinical patient management. The present review highlights recent advances in deciphering the molecular background of MCL, the definition of prognostically relevant factors and the identification of potential druggable targets and summarises current treatment recommendations for primary and R/R MCL including novel targeted therapies.
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Affiliation(s)
| | - Kim Linton
- Manchester Cancer Research Centre, University of Manchester, Manchester, UK
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16
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Lakhotia R, Roschewski M. Circulating tumour DNA in B-cell lymphomas: current state and future prospects. Br J Haematol 2021; 193:867-881. [PMID: 33550600 DOI: 10.1111/bjh.17251] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Accepted: 11/03/2020] [Indexed: 12/19/2022]
Abstract
Circulating tumour DNA (ctDNA) is a highly versatile analyte and an emerging biomarker for detection of tumour-specific sequences in lymphoid malignancies. Since ctDNA is derived from tumour cells throughout the body, it overcomes fundamental limitations of tissue biopsies by capturing the complete molecular profile of tumours, including those from inaccessible anatomic locations. Assays for ctDNA are minimally invasive and serial sampling monitors the effectiveness of therapy and identifies minimal residual disease below the detection limit of standard imaging scans. Dynamic changes in ctDNA levels measure real-time tumour kinetics, and early reductions in ctDNA during treatment correlate with clinical outcomes in multiple B-cell lymphomas. After therapy, ctDNA can effectively discriminate between patients who achieved a complete molecular remission from those with residual treatment-resistant disease. Serial monitoring of ctDNA after therapy can detect early molecular relapse and identify drug-resistant clones that harbour targetable mutations. In order for ctDNA to reach its full potential, the standardization and harmonization of the optimal pre-analytical and analytical techniques for B-cell lymphomas is a critically necessary requirement. Prospective validation of ctDNA within clinical studies is also required to determine its clinical utility as an adjunctive decision-making tool.
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Affiliation(s)
- Rahul Lakhotia
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Mark Roschewski
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
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17
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Zuo X, Liu D. Progress in the application of minimal residual disease detection in multiple myeloma. J Hematop 2021. [DOI: 10.1007/s12308-020-00436-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
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18
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Hill HA, Qi X, Jain P, Nomie K, Wang Y, Zhou S, Wang ML. Genetic mutations and features of mantle cell lymphoma: a systematic review and meta-analysis. Blood Adv 2020; 4:2927-2938. [PMID: 32598477 PMCID: PMC7362354 DOI: 10.1182/bloodadvances.2019001350] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 05/28/2020] [Indexed: 12/11/2022] Open
Abstract
Mantle cell lymphoma (MCL) is an incurable rare subtype of non-Hodgkin lymphoma and is subject to relapse and therapeutic resistance. Molecular aberrations in MCL affect pathogenesis, prognosis, and therapeutic response. In this systematic review, we searched 3 databases and selected 32 articles that described mutations in MCL patients. We then conducted a meta-analysis using a Bayesian multiregression model to analyze patient-level data in 2127 MCL patients, including prevalence of mutations. In tumor or bone marrow samples taken at diagnosis or baseline, ATM was the most frequently mutated gene (43.5%) followed by TP53 (26.8%), CDKN2A (23.9%), and CCND1 (20.2%). Aberrations were also detected in IGH (38.4%) and MYC (20.8%), primarily through cytogenetic methods. Other common baseline mutations were NSD2 (15.0%), KMT2A (8.9%), S1PR1 (8.6%), and CARD11 (8.5%). Our data also show a change in mutational status from baseline samples to samples at disease progression and present mutations of interest in MCL that should be considered for future analysis. The genes with the highest mutational frequency difference (>5%) are TP53, ATM, KMT2A, MAP3K14, BTK, TRAF2, CHD2, TLR2, ARID2, RIMS2, NOTCH2, TET2, SPEN, NSD2, CARD11, CCND1, SP140, CDKN2A, and S1PR1. These findings provide a summary of the mutational landscape of MCL. The genes with the highest change in mutation frequency should be included in targeted next-generation sequencing panels for future studies. These findings also highlight the need for analysis of serial samples in MCL. Patient-level data of prevalent mutations in MCL provide additional evidence emphasizing molecular variability in advancing precision medicine initiatives in MCL.
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Affiliation(s)
| | - Xinyue Qi
- Department of Biostatistics, MD Anderson Cancer Center, University of Texas, Houston, TX
| | | | | | - Yucai Wang
- Department of Hematology, Mayo Clinic, Rochester, MN; and
| | - Shouhao Zhou
- Department of Public Health Sciences, Pennsylvania State College of Medicine, Hershey, PA
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19
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Mika T, Maghnouj A, Klein-Scory S, Ladigan-Badura S, Baraniskin A, Thomson J, Hasenkamp J, Hahn SA, Wulf G, Schroers R. Digital-Droplet PCR for Quantification of CD19-Directed CAR T-Cells. Front Mol Biosci 2020; 7:84. [PMID: 32500079 PMCID: PMC7243121 DOI: 10.3389/fmolb.2020.00084] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Accepted: 04/16/2020] [Indexed: 01/01/2023] Open
Abstract
CD19-directed CAR-T-cells (CD19-CAR) have demonstrated remarkable clinical results in patients suffering from refractory or relapsed lymphoma and acute lymphoblastic leukemia. In order to further optimize follow-up, to explain treatment failure, and to control adverse events biomarkers for monitoring of response are urgently needed. Peak expansion and persistence are correlated with response rates and severity of side effects. However, no standardized method or commercially assay for CD19-CAR measurement is established yet. In this study, two primer-probe assays for digital-droplet PCR (ddPCR) were designed and subsequently explored on 54 samples collected from seven patients after CD19-CAR treatment with axi-cel over time. Detection and quantification of CAR-T-cells were feasible and reliable for all patients included. Peak expansion measured with our assay significantly correlated with the grade of neurologic adverse events but not with cytokine release syndrome. All patients with loss of CAR-signal eventually had disease progression. In summary, our novel assay allows monitoring of CAR-T-cells in vivo and may add to safety and efficacy of CAR-T treatment.
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Affiliation(s)
- Thomas Mika
- Department of Medicine, Hematology and Oncology, Ruhr University Bochum, Bochum, Germany.,Department of Molecular Gastroenterologic Oncology, Ruhr University Bochum, Bochum, Germany
| | - Abdelouahid Maghnouj
- Department of Molecular Gastroenterologic Oncology, Ruhr University Bochum, Bochum, Germany
| | | | - Swetlana Ladigan-Badura
- Department of Medicine, Hematology and Oncology, Ruhr University Bochum, Bochum, Germany.,Department of Molecular Gastroenterologic Oncology, Ruhr University Bochum, Bochum, Germany
| | - Alexander Baraniskin
- Department of Medicine, Hematology and Oncology, Ruhr University Bochum, Bochum, Germany
| | - Julia Thomson
- Clinic for Hematology and Medical Oncology, Georg-August University, Göttingen, Germany
| | - Justin Hasenkamp
- Clinic for Hematology and Medical Oncology, Georg-August University, Göttingen, Germany
| | - Stephan A Hahn
- Department of Molecular Gastroenterologic Oncology, Ruhr University Bochum, Bochum, Germany
| | - Gerald Wulf
- Clinic for Hematology and Medical Oncology, Georg-August University, Göttingen, Germany
| | - Roland Schroers
- Department of Medicine, Hematology and Oncology, Ruhr University Bochum, Bochum, Germany
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20
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Othus M, Gale RP, Hourigan CS, Walter RB. Statistics and measurable residual disease (MRD) testing: uses and abuses in hematopoietic cell transplantation. Bone Marrow Transplant 2020; 55:843-850. [PMID: 31666655 PMCID: PMC7462748 DOI: 10.1038/s41409-019-0729-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Revised: 10/09/2019] [Accepted: 10/15/2019] [Indexed: 12/23/2022]
Abstract
SERIES EDITORS' NOTE The decision whether to recommend a transplant to someone with acute leukemia in first remission is complex and challenging. Diverse, often confounded co-variates interact to influence one's recommendation. Briefly, the decision metric can be viewed in three spheres: (1) subject-; (2) transplant-; and (3) disease-related co-variates. Subject-related co-variates include items such as age and comorbidities. Transplant-related co-variates include items such as donor-types, graft source, proposed conditioning and pre- and post-transplant immune suppression.But what of disease-related variables? Previously haematologists relied on co-variates such as WBC at diagnosis, chemotherapy cycles to achieve first remission, cytogenetics and most recently, mutation topography. However, these co-variates have largely been replaced by results of measurable residual disease (MRD)-testing. Many chemotherapy-only and transplant studies report strong correlations between results of MRD-testing on therapy outcomes such as cumulative incidence of relapse (CIR), leukemia-free survival (LFS) or survival. (CIR makes biological sense in a transplant context whereas LFS and survival do not give competing causes of death such as transplant-related mortality (TRM), graft-versus-host disease and interstitial pneumonia unrelated to relapse probability).This raises the question of how useful results are of MRD-testing in predicting CIR after transplants. Elsewhere we discussed accuracy and precision of MRD-testing in predicting outcomes of therapy of acute myeloid leukemia (Estey E, Gale RP. Leukemia 31:1255-1258, 2017; Hourigan CS, Gale RP, Gormley NJ, Ossenkoppele GJ, Walter RB. Leukemia 31:1482-1490, 2017). Briefly put, not terribly good. Although results of MRD-testing are often the most powerful predictor of CIR in multivariable analyses, the C-statistic (a measure of prediction accuracy) is often only about 0.75. This is much better than flipping a fair coin but far from ideal.In the typescript which follows, Othus and colleagues discuss statistical issues underlying MRD-testing in the context of haematopoietic cell transplants. We hope readers, especially haematologists who often need to make transplant recommendations to people with acute leukemia in first remission, will read it carefully and critically. The bottom line is MRD-test data are useful but considerable uncertainty is unavoidable with substantial false-positive and -negative rates. We need to acknowledge this uncertainty to ourselves and to the people we counsel. The authors quote Voltaire who said: Doubt is not a pleasant condition, but certainty is an absurd one. Sadly so, but we do the best we can. Robert Peter Gale, Imperial College London, and Mei-Jie Zhang, Medical College of Wisconsin and CIBMTR.
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Affiliation(s)
- Megan Othus
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Robert Peter Gale
- Haematology Research Centre, Division of Experimental Medicine, Department of Medicine, Imperial College London, London, UK
| | - Christopher S Hourigan
- Myeloid Malignancies Section, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Roland B Walter
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
- Department of Medicine, Division of Hematology, University of Washington, Seattle, WA, USA.
- Department of Pathology, University of Washington, Seattle, WA, USA.
- Department of Epidemiology, University of Washington, Seattle, WA, USA.
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21
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Klener P. Advances in Molecular Biology and Targeted Therapy of Mantle Cell Lymphoma. Int J Mol Sci 2019; 20:ijms20184417. [PMID: 31500350 PMCID: PMC6770169 DOI: 10.3390/ijms20184417] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Revised: 09/02/2019] [Accepted: 09/04/2019] [Indexed: 12/21/2022] Open
Abstract
Mantle cell lymphoma (MCL) is a heterogeneous malignancy with a broad spectrum of clinical behavior from indolent to highly aggressive cases. Despite the fact that MCL remains in most cases incurable by currently applied immunochemotherapy, our increasing knowledge on the biology of MCL in the last two decades has led to the design, testing, and approval of several innovative agents that dramatically changed the treatment landscape for MCL patients. Most importantly, the implementation of new drugs and novel treatment algorithms into clinical practice has successfully translated into improved outcomes of MCL patients not only in the clinical trials, but also in real life. This review focuses on recent advances in our understanding of the pathogenesis of MCL, and provides a brief survey of currently used treatment options with special focus on mode of action of selected innovative anti-lymphoma molecules. Finally, it outlines future perspectives of patient management with progressive shift from generally applied immunotherapy toward risk-stratified, patient-tailored protocols that would implement innovative agents and/or procedures with the ultimate goal to eradicate the lymphoma and cure the patient.
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Affiliation(s)
- Pavel Klener
- First Dept. of Medicine-Hematology, General University Hospital in Prague, 128 08 Prague, Czech Republic.
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, 128 53 Prague, Czech Republic.
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Smolewski P, Rydygier D, Robak T. Clinical management of mantle cell lymphoma in the elderly. Expert Opin Pharmacother 2019; 20:1893-1905. [PMID: 31373238 DOI: 10.1080/14656566.2019.1642871] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Introduction: Mantle cell lymphoma (MCL) is a disease with an indolent histology, but mostly aggressive clinical course. While treatment can yield more promising results in younger patients, the disease is most diagnosed at a median age of approximately 70 years, and treatment in this group still presents a major challenge for oncohematologists. Unfortunately, due to comorbidities and poorer general status, the implementation of intensive treatment approaches with the cytarabine-based regimens and autologous stem cell transplantation is generally not possible, and the disease remains incurable, especially in elderly patients. Areas covered: In this paper, the authors discuss the therapeutic options available for older patients with MCL in the first line and relapsed/refractory settings, indicating new therapeutic options, which may achieve longer remissions and overall survival. Expert opinion: Although great progress has been made in the treatment of MCL in recent years, there remains a need for new treatment lines which can allow improved patient outcomes. Novel agents targeting altered the signal transduction pathways in MCL cells may offer more promise than traditional chemotherapy or immunochemotherapy and are currently being tested in clinical trials.
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Affiliation(s)
- Piotr Smolewski
- Department of Experimental Hematology, Medical University of Lodz , Lodz , Poland
| | - Dominika Rydygier
- Department of Hematology, Medical University of Lodz , Lodz , Poland
| | - Tadeusz Robak
- Department of Hematology, Medical University of Lodz , Lodz , Poland
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Galimberti S, Genuardi E, Mazziotta F, Iovino L, Morabito F, Grassi S, Ciabatti E, Guerrini F, Petrini M. The Minimal Residual Disease in Non-Hodgkin's Lymphomas: From the Laboratory to the Clinical Practice. Front Oncol 2019; 9:528. [PMID: 31293969 PMCID: PMC6606710 DOI: 10.3389/fonc.2019.00528] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 05/31/2019] [Indexed: 01/05/2023] Open
Abstract
Minimal residual disease (MRD) in non-Hodgkin's lymphomas (NHLs) still represents matter of interest and debate: indeed, the new available treatments offer higher rates of complete responses and MRD negativity than in the past, with a positive impact on the long-term survival. Furthermore, the introduction of more sensitive and accurate molecular techniques, such as digital PCR (ddPCR) and the next generation sequencing techniques (NGS), increased the possibility of identifying molecular targets to be followed after therapy (such as rearrangement of immunoglobulins, fusion genes, or mutations). This review focused on how molecular biology can help to detect MRD in different types of NHLs and how MRD can change the clinical practice in 2019. In follicular lymphoma (FL), contamination of the grafts and molecular disease persistence after transplantation represent a negative prognostic factors. The combination of Rituximab or Obinutuzumab with Bendamustine seems to be the most effective way to clear MRD in FL patients receiving chemo-immunotherapy (further studies are in progress), and also 90Yttrium-Ibritumomab-Tiuxetan offers a deep clearance of molecular disease. Finally, molecular MRD can further stratify PET-negative cases, with subjects both PET- and MRD-negative presenting the best outcome. In aggressive lymphomas, MRD has a relevant prognostic power and can represent the platform for immunotherapy (such as CAR-T). In diffuse large B-cell lymphoma (DLBCL), the assessment of MRD in the plasma (where cell-free DNA and exosomes circulate) seems to be more predictive than the bone marrow analysis or peripheral blood mononuclear cells. Finally, NGS technologies could be more useful than the classical "patient allele-specific PCR" because they can identify any possible clone emerging during the treatment or follow-up, even if different from that identified at diagnosis, thus predicting relapse. After all, the present available molecular approaches can move MRD from the bench side to the clinical practice.
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Affiliation(s)
- Sara Galimberti
- Section of Hematology, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Elisa Genuardi
- Department of Molecular Biotechnologies and Health Sciences, University of Torino, Turin, Italy
| | - Francesco Mazziotta
- Section of Hematology, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.,GeNOMEC School of Doctorate, University of Siena, Siena, Italy
| | - Lorenzo Iovino
- Section of Hematology, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.,Clinical and Translational Sciences School of Doctorate, University of Pisa, Pisa, Italy
| | - Fortunato Morabito
- Hematology Oncology Department, Augusta Victoria Hospital, East Jerusalem, Israel.,Biotechnology Research Unit, Cosenza, Italy
| | - Susanna Grassi
- Section of Hematology, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.,GeNOMEC School of Doctorate, University of Siena, Siena, Italy
| | - Elena Ciabatti
- Section of Hematology, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Francesca Guerrini
- Section of Hematology, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Mario Petrini
- Section of Hematology, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
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