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Lebecque B, Besombes J, Dannus LT, De Antonio M, Cacheux V, Grèze V, Montagnon V, Veronese L, Tchirkov A, Tournilhac O, Berger MG, Veyrat-Masson R. Faster clinical decisions in B-cell acute lymphoblastic leukaemia: A single flow cytometric 12-colour tube improves diagnosis and minimal residual disease follow-up. Br J Haematol 2024; 204:1872-1881. [PMID: 38432068 DOI: 10.1111/bjh.19390] [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: 01/12/2024] [Revised: 02/22/2024] [Accepted: 02/24/2024] [Indexed: 03/05/2024]
Abstract
Assessing minimal residual disease (MRD) in B-cell precursor acute lymphoblastic leukaemia (BCP-ALL) is essential for adjusting therapeutic strategies and predicting relapse. Quantitative polymerase chain reaction (qPCR) is the gold standard for MRD. Alternatively, flow cytometry is a quicker and cost-effective method that typically uses leukaemia-associated immunophenotype (LAIP) or different-from-normal (DFN) approaches for MRD assessment. This study describes an optimized 12-colour flow cytometry antibody panel designed for BCP-ALL diagnosis and MRD monitoring in a single tube. This method robustly differentiated hematogones and BCP-ALL cells using two specific markers: CD43 and CD81. These and other markers (e.g. CD73, CD66c and CD49f) enhanced the specificity of BCP-ALL cell detection. This innovative approach, based on a dual DFN/LAIP strategy with a principal component analysis method, can be used for all patients and enables MRD analysis even in the absence of a diagnostic sample. The robustness of our method for MRD monitoring was confirmed by the strong correlation (r = 0.87) with the qPCR results. Moreover, it simplifies and accelerates the preanalytical process through the use of a stain/lysis/wash method within a single tube (<2 h). Our flow cytometry-based methodology improves the BCP-ALL diagnosis efficiency and MRD management, offering a complementary method with considerable benefits for clinical laboratories.
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Affiliation(s)
- Benjamin Lebecque
- Hématologie Biologique, CHU Clermont-Ferrand, Estaing, Clermont-Ferrand, France
- Equipe d'Accueil EA7453 CHELTER, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Joevin Besombes
- Hématologie Biologique, CHU Clermont-Ferrand, Estaing, Clermont-Ferrand, France
- Equipe d'Accueil EA7453 CHELTER, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Louis-Thomas Dannus
- Hématologie Biologique, CHU Clermont-Ferrand, Estaing, Clermont-Ferrand, France
- Equipe d'Accueil EA7453 CHELTER, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Marie De Antonio
- Unité de Biostatistiques, Direction de la Recherche Clinique et de l'Innovation, Centre Hospitalier Universitaire de Clermont-Ferrand, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Victoria Cacheux
- Service de Thérapie Cellulaire et Hématologie Clinique Adulte, Clermont-Ferrand, France
| | - Victoria Grèze
- CHU Clermont-Ferrand, Service Hématologie Oncologie Pédiatrique, Hôpital Estaing, Clermont-Ferrand, France
| | - Valentin Montagnon
- Hématologie Biologique, CHU Clermont-Ferrand, Estaing, Clermont-Ferrand, France
| | - Lauren Veronese
- Equipe d'Accueil EA7453 CHELTER, Université Clermont Auvergne, Clermont-Ferrand, France
- Cytogénétique Médicale, CHU Clermont-Ferrand, CHU Estaing, Clermont-Ferrand, France
| | - Andrei Tchirkov
- Equipe d'Accueil EA7453 CHELTER, Université Clermont Auvergne, Clermont-Ferrand, France
- Cytogénétique Médicale, CHU Clermont-Ferrand, CHU Estaing, Clermont-Ferrand, France
| | - Olivier Tournilhac
- Equipe d'Accueil EA7453 CHELTER, Université Clermont Auvergne, Clermont-Ferrand, France
- Service de Thérapie Cellulaire et Hématologie Clinique Adulte, Clermont-Ferrand, France
| | - Marc G Berger
- Hématologie Biologique, CHU Clermont-Ferrand, Estaing, Clermont-Ferrand, France
- Equipe d'Accueil EA7453 CHELTER, Université Clermont Auvergne, Clermont-Ferrand, France
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Sun Y, Wang X, Chen WM, Hao Y, Li LD, Li JY, Sun K, Shi ZY, Jiang H, Jiang Q, Huang XJ, Qin YZ. Usefulness of KIT mutant transcript levels for monitoring measurable residual disease in t (8;21) acute myeloid leukemia. Hematol Oncol 2024; 42:e3264. [PMID: 38461410 DOI: 10.1002/hon.3264] [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: 08/18/2023] [Revised: 11/07/2023] [Accepted: 02/23/2024] [Indexed: 03/11/2024]
Abstract
In addition to RUNX1::RUNX1T1 transcript levels, measurable residual disease monitoring using KIT mutant (KITmut ) DNA level is reportedly predictive of relapse in t (8; 21) acute myeloid leukemia (AML). However, the usefulness of KITmut transcript levels remains unknown. A total of 202 bone marrow samples collected at diagnosis and during treatment from 52 t (8; 21) AML patients with KITmut (D816V/H/Y or N822K) were tested for KITmut transcript levels using digital polymerase chain reaction. The individual optimal cutoff values of KITmut were identified by performing receiver operating characteristics curve analysis for relapse at each of the following time points: at diagnosis, after achieving complete remission (CR), and after Course 1 and 2 consolidations. The cutoff values were used to divide the patients into the KITmut -high (KIT_H) group and the KITmut -low (KIT_L) group. The KIT_H patients showed significantly lower relapse-free survival (RFS) and overall survival (OS) rates than the KIT_L patients after Course 1 consolidation (p = 0.0040 and 0.021, respectively) and Course 2 consolidation (p = 0.018 and 0.011, respectively) but not at diagnosis and CR. The <3-log reduction in the RUNX1::RUNX1T1 transcript levels after Course 2 consolidation was an independent adverse prognostic factor for RFS and OS. After Course 2 consolidation, the KIT_H patients with >3-log reduction in the RUNX1::RUNX1T1 transcript levels (11/45; 24.4%) had similar RFS as that of patients with <3-log reduction in the RUNX1::RUNX1T1 transcript levels. The combination of KITmut and RUNX1::RUNX1T1 transcript levels after Course 2 consolidation may improve risk stratification in t (8; 21) AML patient with KIT mutation.
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Affiliation(s)
- Yuan Sun
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China
- Beijing Hightrust Diagnostics, Co., Ltd, Beijing, China
| | - Xu Wang
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China
| | - Wen-Min Chen
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China
| | - Yue Hao
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China
| | - Ling-Di Li
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China
| | - Jin-Ying Li
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China
| | - Kai Sun
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China
| | - Zong-Yan Shi
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China
| | - Hao Jiang
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China
| | - Qian Jiang
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China
| | - Xiao-Jun Huang
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China
| | - Ya-Zhen Qin
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China
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Park JW, Bae SJ, Yun JH, Kim S, Park M. Assessment of Genetic Stability in Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes by Using Droplet Digital PCR. Int J Mol Sci 2024; 25:1101. [PMID: 38256178 PMCID: PMC10815998 DOI: 10.3390/ijms25021101] [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: 12/19/2023] [Revised: 01/04/2024] [Accepted: 01/13/2024] [Indexed: 01/24/2024] Open
Abstract
Unintended genetic modifications that occur during the differentiation and proliferation of human induced pluripotent stem cells (hiPSCs) can lead to tumorigenicity. This is a crucial concern in the development of stem cell-based therapies to ensure the safety and efficacy of the final product. Moreover, conventional genetic stability testing methods are limited by low sensitivity, which is an issue that remains unsolved. In this study, we assessed the genetic stability of hiPSCs and hiPSC-derived cardiomyocytes using various testing methods, including karyotyping, CytoScanHD chip analysis, whole-exome sequencing, and targeted sequencing. Two specific genetic mutations in KMT2C and BCOR were selected from the 17 gene variants identified by whole-exome and targeted sequencing methods, which were validated using droplet digital PCR. The applicability of this approach to stem cell-based therapeutic products was further demonstrated with associated validation according to the International Council for Harmonisation (ICH) guidelines, including specificity, precision, robustness, and limit of detection. Our droplet digital PCR results showed high sensitivity and accuracy for quantitatively detecting gene mutations, whereas conventional qPCR could not avoid false positives. In conclusion, droplet digital PCR is a highly sensitive and precise method for assessing the expression of mutations with tumorigenic potential for the development of stem cell-based therapeutics.
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Affiliation(s)
| | | | | | | | - Misun Park
- Advanced Bioconvergence Product Research Division, National Institute of Food and Drug Safety Evaluation, Ministry of Food and Drug Safety, Cheongju-si 28159, Republic of Korea; (J.W.P.); (S.J.B.); (J.H.Y.); (S.K.)
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Cardinali D, Beldinanzi M, Ansuinelli M, Elia L, Della Starza I, Bellomarino V, Matarazzo M, Di Trani M, Cola M, Salutari P, Cedrone M, Bassan R, De Gobbi M, Della Porta MG, De Simone M, Alati C, Fracchiolla NS, Lunghi M, Intermesoli T, Cardinali V, Mulè A, Guarini A, Foà R, Chiaretti S. Digital droplet PCR for T315I BCR::ABL1 KD mutation assessment in adult Ph-positive acute lymphoblastic leukemia with a minimal residual disease increase. Leuk Lymphoma 2023; 64:1884-1887. [PMID: 37452789 DOI: 10.1080/10428194.2023.2235450] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 06/24/2023] [Accepted: 07/06/2023] [Indexed: 07/18/2023]
Affiliation(s)
- Deborah Cardinali
- Hematology, Department of Translational and Precision Medicine, "Sapienza" University of Rome, Rome, Italy
| | - Marco Beldinanzi
- Hematology, Department of Translational and Precision Medicine, "Sapienza" University of Rome, Rome, Italy
| | - Michela Ansuinelli
- Hematology, Department of Translational and Precision Medicine, "Sapienza" University of Rome, Rome, Italy
| | - Loredana Elia
- Hematology, Department of Translational and Precision Medicine, "Sapienza" University of Rome, Rome, Italy
| | - Irene Della Starza
- Hematology, Department of Translational and Precision Medicine, "Sapienza" University of Rome, Rome, Italy
- Fondazione GIMEMA Onlus, Rome, Italy
| | - Vittorio Bellomarino
- Hematology, Department of Translational and Precision Medicine, "Sapienza" University of Rome, Rome, Italy
| | - Mabel Matarazzo
- Hematology, Department of Translational and Precision Medicine, "Sapienza" University of Rome, Rome, Italy
| | - Mariangela Di Trani
- Hematology, Department of Translational and Precision Medicine, "Sapienza" University of Rome, Rome, Italy
| | - Mattia Cola
- Hematology, Department of Translational and Precision Medicine, "Sapienza" University of Rome, Rome, Italy
| | | | - Michele Cedrone
- UOC Ematologia, Ospedale San Giovanni Addolorata, Rome, Italy
| | - Renato Bassan
- Hematology Unit, Ospedale dell'Angelo and Ospedale Ss Giovanni e Paolo, Mestre Venezia, Italy
| | - Marco De Gobbi
- Department of Clinical and Biological Sciences, Haematopoietic Stem Cell Transplant Unit, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy
| | | | | | - Caterina Alati
- Division of Hematology, Azienda Ospedaliera ''Bianchi Melacrino Morelli', Reggio Calabria, Italy
| | - Nicola Stefano Fracchiolla
- UOC Oncoematologia, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano, Università degli Studi di Milano, Milan, Italy
| | - Monia Lunghi
- Division of Hematology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Tamara Intermesoli
- Department of Oncology, Hematology University of Milan and Azienda Socio-Sanitaria Territoriale Papa Giovanni XXIII, Bergamo, Italy
| | - Valeria Cardinali
- Department of Medicine and Surgery, Institute of Hematology, Centro di Ricerca Emato-Oncologica (CREO), University of Perugia, Perugia, Italy
| | - Antonino Mulè
- UOC, Ospedali Riuniti, Villa Sofia-Cervello, Palermo, Italy
| | - Anna Guarini
- Hematology, Department of Translational and Precision Medicine, "Sapienza" University of Rome, Rome, Italy
| | - Robin Foà
- Hematology, Department of Translational and Precision Medicine, "Sapienza" University of Rome, Rome, Italy
| | - Sabina Chiaretti
- Hematology, Department of Translational and Precision Medicine, "Sapienza" University of Rome, Rome, Italy
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Bassan R, Chiaretti S, Della Starza I, Spinelli O, Santoro A, Paoloni F, Messina M, Elia L, De Propris MS, Scattolin AM, Audisio E, Marbello L, Borlenghi E, Zappasodi P, Mauro E, Martinelli G, Mattei D, Fracchiolla N, Bocchia M, De Fabritiis P, Bonifacio M, Candoni A, Cassibba V, Di Bartolomeo P, Latte G, Trappolini S, Guarini A, Vitale A, Fazi P, Piciocchi A, Rambaldi A, Foà R. Pegaspargase-modified risk-oriented program for adult acute lymphoblastic leukemia: results of the GIMEMA LAL1913 trial. Blood Adv 2023; 7:4448-4461. [PMID: 37276451 PMCID: PMC10440455 DOI: 10.1182/bloodadvances.2022009596] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 04/17/2023] [Accepted: 05/21/2023] [Indexed: 06/07/2023] Open
Abstract
Pediatric-inspired chemotherapy is the standard of care for younger adults with Philadelphia chromosome-negative acute lymphoblastic leukemia/lymphoma (Ph- ALL/LL). In LAL1913 trial, the Gruppo Italiano Malattie EMatologiche dell'Adulto added pegaspargase 2000 IU/m2 to courses 1, 2, 5, and 6 of an 8-block protocol for patients aged from 18 to 65 years, with dose reductions in patients aged >55 years. Responders were risk stratified for allogeneic hematopoietic cell transplantation (HCT) or maintenance per clinical characteristics and minimal residual disease (MRD). Of 203 study patients (median age, 39.8 years), 91% achieved a complete remission. The 3-year overall survival, event-free, and disease-free survival (DFS) rates were 66.7%, 57.7%, and 63.3%, respectively, fulfilling the primary study end point of a 2-year DFS >55%. Although based on the intention-to-treat, the DFS being 74% and 50% in the chemotherapy (n = 94) and HCT (n = 91) assignment cohorts, respectively, a time-dependent analysis proved the value of HCT in patients who were eligible (DFS HCT 70% vs no HCT 26%; P <.0001). In multivariate analysis, age and MRD were independent factors predicting DFS rates of 86% (age ≤ 40 and MRD-negative), 64%-65% (MRD-positive or age > 40) and 25% (age > 40 and MRD-positive); P < .0001. Grade ≥2 pegaspargase toxicity was mainly observed at course 1, contributing to induction death in 2 patients but was rare thereafter. This program improved outcomes of patients with Ph- ALL/LL aged up to 65 years in a multicenter national setting. This trial was registered at www.clinicaltrials.gov as #NCT02067143.
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Affiliation(s)
- Renato Bassan
- Complex Operational Unit of Hematology, Ospedale dell'Angelo, Mestre-Venezia, Italy
| | - Sabina Chiaretti
- Division of Hematology, Department of Cellular Biotechnologies and Hematology, "Sapienza" University of Rome, Rome, Italy
| | - Irene Della Starza
- Division of Hematology, Department of Cellular Biotechnologies and Hematology, "Sapienza" University of Rome, Rome, Italy
- Centro Dati Fondazione GIMEMA Franco Mandelli, Rome, Italy
| | - Orietta Spinelli
- Complex Structure of Hematology, AO Papa Giovanni XXIII, Bergamo; and Department of Oncology and Hematology, University of Milan, Milan, Italy
| | - Alessandra Santoro
- Division of Hematology, Ospedali Riuniti Villa Sofia-Cervello, Palermo, Italy
| | | | - Monica Messina
- Centro Dati Fondazione GIMEMA Franco Mandelli, Rome, Italy
| | - Loredana Elia
- Division of Hematology, Department of Cellular Biotechnologies and Hematology, "Sapienza" University of Rome, Rome, Italy
| | - Maria Stefania De Propris
- Division of Hematology, Department of Cellular Biotechnologies and Hematology, "Sapienza" University of Rome, Rome, Italy
| | - Anna Maria Scattolin
- Complex Operational Unit of Hematology, Ospedale dell'Angelo, Mestre-Venezia, Italy
| | - Ernesta Audisio
- Complex Structure of Hematology, AO Città della Salute e della Scienza, Torino, Italy
| | - Laura Marbello
- Complex Structure of Hematology, Ospedale Niguarda Ca’ Granda, Milan, Italy
| | - Erika Borlenghi
- Operational Unit of Hematology, AO Spedali Civili, Brescia, Italy
| | - Patrizia Zappasodi
- Complex Structure of Hematology, Fondazione IRCCS Policlinico S. Matteo, Pavia, Italy
| | - Elisa Mauro
- Complex Operational Unit of Hematology, AOU Policlinico S. Marco, University of Catania, Catania, Italy
| | - Giovanni Martinelli
- Institute of Hematology "Seragnoli", Policlinico S. Orsola-Malpighi, University of Bologna, Bologna, Italy
| | - Daniele Mattei
- Complex Structure of Hematology, ASO S. Croce e Carle, Cuneo, Italy
| | - Nicola Fracchiolla
- Complex Operational Unit of Onco-Hematology, Fondazione IRCCS Cà Granda Ospedale Maggiore, Milan, Italy
| | - Monica Bocchia
- Complex Operational Unit of Hematology, AO Senese Policlinico Le Scotte, Siena, Italy
| | - Paolo De Fabritiis
- Complex Operational Unit of Hematology, Ospedale S. Eugenio ASL Roma 2, University of Tor Vergata, Rome, Italy
| | - Massimiliano Bonifacio
- Department of Medicine, Complex Operational Unit of Hematology, Azienda Ospedaliera Universitaria Integrata, Verona, Italy
| | - Anna Candoni
- Department of Hematology, Azienda Ospedaliero-Universitaria, Udine, Italy
| | | | | | - Giancarlo Latte
- Section of Clinical Hematology, Ospedale S. Francesco, Nuoro, Italy
| | | | - Anna Guarini
- Division of Hematology, Department of Cellular Biotechnologies and Hematology, "Sapienza" University of Rome, Rome, Italy
| | - Antonella Vitale
- Division of Hematology, Department of Cellular Biotechnologies and Hematology, "Sapienza" University of Rome, Rome, Italy
| | - Paola Fazi
- Centro Dati Fondazione GIMEMA Franco Mandelli, Rome, Italy
| | | | - Alessandro Rambaldi
- Complex Structure of Hematology, AO Papa Giovanni XXIII, Bergamo; and Department of Oncology and Hematology, University of Milan, Milan, Italy
| | - Robin Foà
- Division of Hematology, Department of Cellular Biotechnologies and Hematology, "Sapienza" University of Rome, Rome, Italy
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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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7
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Optimizing Molecular Minimal Residual Disease Analysis in Adult Acute Lymphoblastic Leukemia. Cancers (Basel) 2023; 15:cancers15020374. [PMID: 36672325 PMCID: PMC9856386 DOI: 10.3390/cancers15020374] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 01/02/2023] [Accepted: 01/03/2023] [Indexed: 01/09/2023] Open
Abstract
Minimal/measurable residual disease (MRD) evaluation has resulted in a fundamental instrument to guide patient management in acute lymphoblastic leukemia (ALL). From a methodological standpoint, MRD is defined as any approach aimed at detecting and possibly quantifying residual neoplastic cells beyond the sensitivity level of cytomorphology. The molecular methods to study MRD in ALL are polymerase chain reaction (PCR) amplification-based approaches and are the most standardized techniques. However, there are some limitations, and emerging technologies, such as digital droplet PCR (ddPCR) and next-generation sequencing (NGS), seem to have advantages that could improve MRD analysis in ALL patients. Furthermore, other blood components, namely cell-free DNA (cfDNA), appear promising and are also being investigated for their potential role in monitoring tumor burden and response to treatment in hematologic malignancies. Based on the review of the literature and on our own data, we hereby discuss how emerging molecular technologies are helping to refine the molecular monitoring of MRD in ALL and may help to overcome some of the limitations of standard approaches, providing a benefit for the care of patients.
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