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Gonçalves-Reis M, Proença D, Frazão LP, Neto JL, Silva S, Pinto-Marques H, Pereira-Leal JB, Cardoso J. Analytical validation and algorithm improvement of HepatoPredict kit to assess hepatocellular carcinoma prognosis before a liver transplantation. Pract Lab Med 2024; 39:e00365. [PMID: 38371895 PMCID: PMC10869278 DOI: 10.1016/j.plabm.2024.e00365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 01/22/2024] [Accepted: 01/23/2024] [Indexed: 02/20/2024] Open
Abstract
Objectives To verify the analytical performance of the HepatoPredict kit, a novel tool developed to stratify Hepatocellular Carcinoma (HCC) patients according to their risk of relapse after a Liver Transplantation (LT). Methods The HepatoPredict tool combines clinical variables and a gene expression signature in an ensemble of machine-learning algorithms to forecast the benefit of a LT in HCC patients. To ensure the accuracy and reliability of this method, extensive analytical validation was conducted to verify its specificity and robustness. The experiments were designed following the guidelines for multi-target genomic assays such as ISO201395-2019, MIQE, CLSI-MM16, CLSI-MM17, and CLSI-EP17-A. The validation process included reproducibility between operators and between RNA extractions and RT-qPCR runs, and interference of input RNA levels or varying reagent levels. A recently retrained version of the HepatoPredict algorithms was also tested. Results The validation process demonstrated that the HepatoPredict kit met the required standards for robustness (p > 0.05), analytical specificity (inclusivity of 95 %), and sensitivity (LoB, LoD, linear range, and amplification efficiency between 90 and 110 %). The operator, equipment, input RNA, and reagents used had no significant effect on the HepatoPredict results. Additionally, the testing of a recently retrained version of the HepatoPredict algorithm, showed that this new version further improved the accuracy of the kit and performed better than existing clinical criteria in accurately identifying HCC patients who are more likely to benefit LT. Conclusions Even with the introduced variations in molecular and clinical variables, the HepatoPredict kit's prognostic information remains consistent. It can accurately identify HCC patients who are more likely to benefit from a LT. Its robust performance also confirms that it can be easily integrated into standard diagnostic laboratories.
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Affiliation(s)
| | | | | | - João L. Neto
- Ophiomics – Precision Medicine, Lisbon, Portugal
| | - Sílvia Silva
- Hepato-Biliary-Pancreatic and Transplantation Centre, Curry Cabral Hospital, Centro Hospitalar Universitário de Lisboa Central, Lisbon, Portugal
| | - Hugo Pinto-Marques
- Hepato-Biliary-Pancreatic and Transplantation Centre, Curry Cabral Hospital, Centro Hospitalar Universitário de Lisboa Central, Lisbon, Portugal
- Chronic Diseases Research Center (CEDOC), NOVA Medical School, Universidade NOVA de Lisboa (NMS/UNL), Lisbon, Portugal
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Cross NCP, Ernst T, Branford S, Cayuela JM, Deininger M, Fabarius A, Kim DDH, Machova Polakova K, Radich JP, Hehlmann R, Hochhaus A, Apperley JF, Soverini S. European LeukemiaNet laboratory recommendations for the diagnosis and management of chronic myeloid leukemia. Leukemia 2023; 37:2150-2167. [PMID: 37794101 PMCID: PMC10624636 DOI: 10.1038/s41375-023-02048-y] [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: 08/29/2023] [Revised: 09/13/2023] [Accepted: 09/20/2023] [Indexed: 10/06/2023]
Abstract
From the laboratory perspective, effective management of patients with chronic myeloid leukemia (CML) requires accurate diagnosis, assessment of prognostic markers, sequential assessment of levels of residual disease and investigation of possible reasons for resistance, relapse or progression. Our scientific and clinical knowledge underpinning these requirements continues to evolve, as do laboratory methods and technologies. The European LeukemiaNet convened an expert panel to critically consider the current status of genetic laboratory approaches to help diagnose and manage CML patients. Our recommendations focus on current best practice and highlight the strengths and pitfalls of commonly used laboratory tests.
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Affiliation(s)
| | - Thomas Ernst
- Klinik für Innere Medizin II, Universitätsklinikum Jena, Jena, Germany
| | - Susan Branford
- Centre for Cancer Biology and SA Pathology, Adelaide, SA, Australia
| | - Jean-Michel Cayuela
- Laboratory of Hematology, University Hospital Saint-Louis, AP-HP and EA3518, Université Paris Cité, Paris, France
| | | | - Alice Fabarius
- III. Medizinische Klinik, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
| | - Dennis Dong Hwan Kim
- Department of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | | | | | - Rüdiger Hehlmann
- III. Medizinische Klinik, Medizinische Fakultät Mannheim, Universität Heidelberg, Mannheim, Germany
- ELN Foundation, Weinheim, Germany
| | - Andreas Hochhaus
- Klinik für Innere Medizin II, Universitätsklinikum Jena, Jena, Germany
| | - Jane F Apperley
- Centre for Haematology, Imperial College London, London, UK
- Department of Clinical Haematology, Imperial College Healthcare NHS Trust, London, UK
| | - Simona Soverini
- Department of Medical and Surgical Sciences, Institute of Hematology "Lorenzo e Ariosto Seràgnoli", University of Bologna, Bologna, Italy
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Assanto GM, Scalzulli E, Carmosino I, Martelli M, Breccia M. From bench to bedside: bridging the gaps in best practices for real-world chronic myeloid leukemia care. Expert Rev Hematol 2022; 15:963-971. [PMID: 36305791 DOI: 10.1080/17474086.2022.2142112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
INTRODUCTION Although tyrosine kinase inhibitors (TKIs) determined an improvement of responses and overall survival (OS) in chronic phase chronic myeloid leukemia (CP-CML) patients, some patients still fail the achievement of important milestones. AREAS COVERED In this review, we focus on the need of appropriate molecular and mutational monitoring during TKI treatment with new laboratory tools and on new compounds developed to counteract the unmet clinical need in CP-CML. EXPERT OPINION The appropriate identification of BCR::ABL1 dependent and independent mechanisms of resistance with Next Generation Sequencing (NGS) and digital droplet PCR (ddPCR) can allow to improve the therapeutic strategies and prevent the onset of a failure to treatment. New compounds have been recently approved or are still in investigational trials to improve the response in some critical forms of resistance and/or intolerance to available TKIs.
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Affiliation(s)
- Giovanni Manfredi Assanto
- Department Cellular Biotechnol & Hematol, Az. Policlinico Umberto I-Sapienza University, Rome, Italy
| | - Emilia Scalzulli
- Department Cellular Biotechnol & Hematol, Az. Policlinico Umberto I-Sapienza University, Rome, Italy
| | - Ida Carmosino
- Department Cellular Biotechnol & Hematol, Az. Policlinico Umberto I-Sapienza University, Rome, Italy
| | - Maurizio Martelli
- Department Cellular Biotechnol & Hematol, Az. Policlinico Umberto I-Sapienza University, Rome, Italy
| | - Massimo Breccia
- Department Cellular Biotechnol & Hematol, Az. Policlinico Umberto I-Sapienza University, Rome, Italy
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Rasul TF, Motoa G, Flowers RC. Dasatinib-Induced Bilateral Pleural Effusions. Cureus 2022; 14:e23906. [PMID: 35530837 PMCID: PMC9077744 DOI: 10.7759/cureus.23906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/06/2022] [Indexed: 11/06/2022] Open
Abstract
Fluid accumulation in the form of pleural effusions and ascites may be attributed to a single etiology. Diagnosis depends on a thorough clinical history as well as fluid analysis. We present the case of a 60-year-old man with chronic myeloid leukemia (CML) on dasatinib, recent right-sided ischemic stroke, alcohol-associated liver disease, cocaine and alcohol use disorders in early remission, and hypertension who presented with subacute-onset of bilateral pleural effusions and ascites. Pleural fluid analysis showed an exudative effusion, while ascitic fluid analysis showed a transudative collection. After an extensive workup, the bilateral effusions were attributed to dasatinib therapy, which was also suspected to play an unclear role in the worsening ascites. Although peripheral edema and pleural effusions are well-recognized and common side effects of tyrosine kinase inhibitors (TKIs), this case represents the first description of a patient presenting with bilateral TKI-induced pleural effusions as well as concomitant ascites of unclear origin.
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Shelton DN, Bhagavatula P, Sepulveda N, Beppu L, Gandhi S, Qin D, Hauenstein S, Radich J. Performance characteristics of the first Food and Drug Administration (FDA)-cleared digital droplet PCR (ddPCR) assay for BCR::ABL1 monitoring in chronic myelogenous leukemia. PLoS One 2022; 17:e0265278. [PMID: 35298544 PMCID: PMC8929598 DOI: 10.1371/journal.pone.0265278] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 02/27/2022] [Indexed: 11/19/2022] Open
Abstract
Chronic myelogenous leukemia (CML) is a hematopoietic stem cell malignancy that accounts for 15-20% of all cases of leukemia. CML is caused by a translocation between chromosomes 9 and 22 which creates an abnormal fusion gene, BCR::ABL1. The amount of BCR::ABL1 transcript RNA is a marker of disease progression and the effectiveness of tyrosine kinase inhibitor (TKI) treatment. This study determined the analytical and clinical performance of a droplet digital PCR based assay (QXDx BCR-ABL %IS Kit; Bio-Rad) for BCR::ABL1 quantification. The test has a limit of detection of MR4.7 (0.002%) and a linear range of MR0.3-4.7 (50-0.002%IS). Reproducibility of results across multiple sites, days, instruments, and users was evaluated using panels made from BCR::ABL1 positive patient samples. Clinical performance of the assay was evaluated on patient samples and compared to an existing FDA-cleared test. The reproducibility study noted negligible contributions to variance from site, instrument, day, and user for samples spanning from MR 0.7-4.2. The assay demonstrated excellent clinical correlation with the comparator test using a Deming regression with a Pearson R of 0.99, slope of 1.037 and intercept of 0.1084. This data establishes that the QXDx™ BCR-ABL %IS Kit is an accurate, precise, and sensitive system for the diagnosis and monitoring of CML.
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MESH Headings
- Fusion Proteins, bcr-abl/genetics
- Humans
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/diagnosis
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/genetics
- Polymerase Chain Reaction/methods
- Protein Kinase Inhibitors/therapeutic use
- Reproducibility of Results
- United States
- United States Food and Drug Administration
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Affiliation(s)
- Dawne N. Shelton
- Digital Biology Group, Bio-Rad Laboratories, Pleasanton, California, United States of America
| | - Prasanthi Bhagavatula
- Digital Biology Group, Bio-Rad Laboratories, Pleasanton, California, United States of America
| | - Nathan Sepulveda
- Digital Biology Group, Bio-Rad Laboratories, Pleasanton, California, United States of America
| | - Lan Beppu
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Shital Gandhi
- Department of Pathology, Moffitt Cancer Center, Tampa, Florida, United States of America
| | - Dahui Qin
- Department of Pathology, Moffitt Cancer Center, Tampa, Florida, United States of America
| | - Scott Hauenstein
- Digital Biology Group, Bio-Rad Laboratories, Pleasanton, California, United States of America
| | - Jerald Radich
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
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Resistance to Tyrosine Kinase Inhibitors in Chronic Myeloid Leukemia-From Molecular Mechanisms to Clinical Relevance. Cancers (Basel) 2021; 13:cancers13194820. [PMID: 34638304 PMCID: PMC8508378 DOI: 10.3390/cancers13194820] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 09/23/2021] [Accepted: 09/24/2021] [Indexed: 01/18/2023] Open
Abstract
Simple Summary Chronic myeloid leukemia (CML) is a myeloproliferative neoplasia associated with a molecular alteration, the fusion gene BCR-ABL1, that encodes the tyrosine kinase oncoprotein BCR-ABL1. This led to the development of tyrosine kinase inhibitors (TKI), with Imatinib being the first TKI approved. Although the vast majority of CML patients respond to Imatinib, resistance to this targeted therapy contributes to therapeutic failure and relapse. Here we review the molecular mechanisms and other factors (e.g., patient adherence) involved in TKI resistance, the methodologies to access these mechanisms, and the possible therapeutic approaches to circumvent TKI resistance in CML. Abstract Resistance to targeted therapies is a complex and multifactorial process that culminates in the selection of a cancer clone with the ability to evade treatment. Chronic myeloid leukemia (CML) was the first malignancy recognized to be associated with a genetic alteration, the t(9;22)(q34;q11). This translocation originates the BCR-ABL1 fusion gene, encoding the cytoplasmic chimeric BCR-ABL1 protein that displays an abnormally high tyrosine kinase activity. Although the vast majority of patients with CML respond to Imatinib, a tyrosine kinase inhibitor (TKI), resistance might occur either de novo or during treatment. In CML, the TKI resistance mechanisms are usually subdivided into BCR-ABL1-dependent and independent mechanisms. Furthermore, patients’ compliance/adherence to therapy is critical to CML management. Techniques with enhanced sensitivity like NGS and dPCR, the use of artificial intelligence (AI) techniques, and the development of mathematical modeling and computational prediction methods could reveal the underlying mechanisms of drug resistance and facilitate the design of more effective treatment strategies for improving drug efficacy in CML patients. Here we review the molecular mechanisms and other factors involved in resistance to TKIs in CML and the new methodologies to access these mechanisms, and the therapeutic approaches to circumvent TKI resistance.
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Soverini S, Bernardi S, Galimberti S. Molecular Testing in CML between Old and New Methods: Are We at a Turning Point? J Clin Med 2020; 9:E3865. [PMID: 33261150 PMCID: PMC7760306 DOI: 10.3390/jcm9123865] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 11/20/2020] [Accepted: 11/25/2020] [Indexed: 12/18/2022] Open
Abstract
Molecular monitoring of minimal residual disease (MRD) and BCR-ABL1 kinase domain (KD) mutation testing have a well consolidated role in the routine management of chronic myeloid leukemia (CML) patients, as they provide precious information for therapeutic decision-making. Molecular response levels are used to define whether a patient has an "optimal", "warning", or "failure" response to tyrosine kinase inhibitor (TKI) therapy. Mutation status may be useful to decide whether TKI therapy should be changed and which alternative TKI (or TKIs) are most likely to be effective. Real-time quantitative polymerase chain reaction (RQ-qPCR) and Sanger sequencing are currently the gold standard for molecular response monitoring and mutation testing, respectively. However, in recent years, novel technologies such as digital PCR (dPCR) and next-generation sequencing (NGS) have been evaluated. Here, we critically describe the main features of these old and novel technologies, provide an overview of the recently published studies assessing the potential clinical value of dPCR and NGS, and discuss how the state of the art might evolve in the next years.
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Affiliation(s)
- Simona Soverini
- Department of Experimental, Diagnostic and Specialty Medicine, Hematology/Oncology “Lorenzo e Ariosto Seràgnoli”, University of Bologna, 40138 Bologna, Italy;
| | - Simona Bernardi
- Department of Clinical and Experimental Sciences, University of Brescia, Bone Marrow Transplant Unit, ASST Spedali Civili, 25123 Brescia, Italy
- Centro di Ricerca Emato-Oncologica AIL (CREA), ASST Spedali Civili, 25123 Brescia, Italy
| | - Sara Galimberti
- Department of Clinical and Experimental Medicine, Hematology Unit, University of Pisa, 56126 Pisa, Italy;
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