1
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Jain N, Wierda WG, O'Brien S. Chronic lymphocytic leukaemia. Lancet 2024; 404:694-706. [PMID: 39068951 DOI: 10.1016/s0140-6736(24)00595-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 02/22/2024] [Accepted: 03/21/2024] [Indexed: 07/30/2024]
Abstract
The last decade has seen remarkable progress in our understanding of disease biology of chronic lymphocytic leukaemia (CLL) and the development of novel targeted therapies. Randomised clinical trials have reported improved progression-free survival and overall survival with targeted therapies compared with chemoimmunotherapy, and thereby the role of chemoimmunotherapy in todays' era for treatment of CLL is limited. Bruton tyrosine kinase (BTK) inhibitors, BCL2 inhibitors, and CD20 monoclonal antibodies have been established as appropriate therapy options for patients with CLL, both as the first-line treatment and in the treatment of relapsed or refractory CLL. Several ongoing phase 3 trials are exploring different combinations of targeted therapies, and the results of these trials might change the treatment framework in first-line treatment of CLL. Non-covalent BTK inhibitors, chimeric antigen receptor T-cell therapy, and other therapeutic strategies are being investigated in relapsed CLL. Some of the therapies used in relapsed CLL, such as non-covalent BTK inhibitors, are now being pursued in earlier lines of therapy, including first-line treatment of CLL.
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Affiliation(s)
- Nitin Jain
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - William G Wierda
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Susan O'Brien
- Division of Hematology/Oncology, Department of Medicine, Chao Family Comprehensive Cancer Center, University of California Irvine Medical Center, Orange, CA, USA.
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2
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Malcikova J, Pavlova S, Baliakas P, Chatzikonstantinou T, Tausch E, Catherwood M, Rossi D, Soussi T, Tichy B, Kater AP, Niemann CU, Davi F, Gaidano G, Stilgenbauer S, Rosenquist R, Stamatopoulos K, Ghia P, Pospisilova S. ERIC recommendations for TP53 mutation analysis in chronic lymphocytic leukemia-2024 update. Leukemia 2024; 38:1455-1468. [PMID: 38755420 PMCID: PMC11217004 DOI: 10.1038/s41375-024-02267-x] [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: 01/04/2024] [Revised: 04/24/2024] [Accepted: 04/25/2024] [Indexed: 05/18/2024]
Abstract
In chronic lymphocytic leukemia (CLL), analysis of TP53 aberrations (deletion and/or mutation) is a crucial part of treatment decision-making algorithms. Technological and treatment advances have resulted in the need for an update of the last recommendations for TP53 analysis in CLL, published by ERIC, the European Research Initiative on CLL, in 2018. Based on the current knowledge of the relevance of low-burden TP53-mutated clones, a specific variant allele frequency (VAF) cut-off for reporting TP53 mutations is no longer recommended, but instead, the need for thorough method validation by the reporting laboratory is emphasized. The result of TP53 analyses should always be interpreted within the context of available laboratory and clinical information, treatment indication, and therapeutic options. Methodological aspects of introducing next-generation sequencing (NGS) in routine practice are discussed with a focus on reliable detection of low-burden clones. Furthermore, potential interpretation challenges are presented, and a simplified algorithm for the classification of TP53 variants in CLL is provided, representing a consensus based on previously published guidelines. Finally, the reporting requirements are highlighted, including a template for clinical reports of TP53 aberrations. These recommendations are intended to assist diagnosticians in the correct assessment of TP53 mutation status, but also physicians in the appropriate understanding of the lab reports, thus decreasing the risk of misinterpretation and incorrect management of patients in routine practice whilst also leading to improved stratification of patients with CLL in clinical trials.
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Affiliation(s)
- Jitka Malcikova
- Department of Internal Medicine, Hematology and Oncology, and Institute of Medical Genetics and Genomics, University Hospital Brno and Medical Faculty, Masaryk University, Brno, Czech Republic
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Sarka Pavlova
- Department of Internal Medicine, Hematology and Oncology, and Institute of Medical Genetics and Genomics, University Hospital Brno and Medical Faculty, Masaryk University, Brno, Czech Republic
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Panagiotis Baliakas
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | | | - Eugen Tausch
- Division of CLL, Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - Mark Catherwood
- Haematology Department, Belfast Health and Social Care Trust, Belfast, United Kingdom
| | - Davide Rossi
- Hematology, Oncology Institute of Southern Switzerland and Institute of Oncology Research, Università della Svizzera Italiana, Bellinzona, Switzerland
| | - Thierry Soussi
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
- Hematopoietic and Leukemic Development, UMRS_938, Sorbonne University, Paris, France
| | - Boris Tichy
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Arnon P Kater
- Department of Hematology, Cancer Center Amsterdam, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | | | - Frederic Davi
- Sorbonne Université, Paris, France
- Department of Hematology, Hôpital Pitié-Salpêtière, AP-HP, Paris, France
| | - Gianluca Gaidano
- Division of Haematology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Stephan Stilgenbauer
- Division of CLL, Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics and Genomics, Karolinska University Hospital, Stockholm, Sweden
| | - Kostas Stamatopoulos
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece
| | - Paolo Ghia
- Università Vita-Salute San Raffaele, Milan, Italy.
- Strategic Research Program on CLL, Division of Experimental Oncology, IRCCS Ospedale San Raffaele, Milan, Italy.
| | - Sarka Pospisilova
- Department of Internal Medicine, Hematology and Oncology, and Institute of Medical Genetics and Genomics, University Hospital Brno and Medical Faculty, Masaryk University, Brno, Czech Republic.
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
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3
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Langerbeins P, Giza A, Robrecht S, Cramer P, von Tresckow J, Al-Sawaf O, Fink AM, Fürstenau M, Kutsch N, Simon F, Goede V, Hoechstetter M, Niemann CU, da Cunha-Bang C, Kater A, Dubois J, Gregor M, Staber PB, Tausch E, Schneider C, Stilgenbauer S, Eichhorst B, Fischer K, Hallek M. Reassessing the chronic lymphocytic leukemia International Prognostic Index in the era of targeted therapies. Blood 2024; 143:2588-2598. [PMID: 38620092 DOI: 10.1182/blood.2023022564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 04/01/2024] [Accepted: 04/02/2024] [Indexed: 04/17/2024] Open
Abstract
ABSTRACT We evaluated the chronic lymphocytic leukemia International Prognostic Index (CLL-IPI) in patients with CLL treated first line with targeted drugs (n = 991) or chemoimmunotherapy (n = 1256). With a median observation time of 40.5 months, the 3-year progression-free survival (PFS) rates for targeted drug-treated patients varied by CLL-IPI risk group: 96.5% (low), 87.6% (intermediate), 82.4% (high), and 78.7% (very high). Differences between consecutive CLL-IPI risk groups were observed for intermediate vs low and high vs intermediate, but not very high vs high. CLL-IPI factors β2-microglobulin, immunoglobulin heavy variable (IGHV) status, and TP53 status each retained prognostic value for PFS. The 3-year overall survival (OS) rates by CLL-IPI risk groups were 100%, 96%, 93.9%, and 89.4%, respectively, with no differences between consecutive risk groups. Age, Binet stage, β2-microglobulin, and TP53 status each retained prognostic value for OS. In chemoimmunotherapy patients (median observation time, 66.9 months), 3-year PFS rates for CLL-IPI risk groups were 78.1%, 51.4%, 40.1%, and 16.5%, respectively; corresponding 3-year OS rates were 97.4%, 93.1%, 81.8%, and 57.3%. In a matched-pair analysis, PFS differences in targeted therapies (n = 812) vs chemoimmunotherapy (n = 812) across all risk groups and OS differences in all but patients at low risk were demonstrated. The CLL-IPI maintains its prognostic value in predicting PFS outcomes with targeted drugs, but its impact in predicting survival appears diminished. Targeted therapies showed enhanced outcomes over chemoimmunotherapy, highlighting their effectiveness across various risk groups. Our findings support ongoing assessment of prognostic tools in CLL treatment evolution. These trials were registered at www.ClinicalTrials.gov as #NCT02345863, #NCT02401503, #NCT02689141, #NCT02445131, #NCT02758665, #NCT02950051, #NCT02242942, #NCT00262782, #NCT00281918, and #NCT01010061.
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MESH Headings
- Humans
- Leukemia, Lymphocytic, Chronic, B-Cell/drug therapy
- Leukemia, Lymphocytic, Chronic, B-Cell/mortality
- Leukemia, Lymphocytic, Chronic, B-Cell/diagnosis
- Female
- Male
- Aged
- Middle Aged
- Prognosis
- Aged, 80 and over
- Molecular Targeted Therapy
- Adult
- beta 2-Microglobulin
- Survival Rate
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Affiliation(s)
- Petra Langerbeins
- Department I of Internal Medicine and German CLL Study Group, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Adam Giza
- Department I of Internal Medicine and German CLL Study Group, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Sandra Robrecht
- Department I of Internal Medicine and German CLL Study Group, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Paula Cramer
- Department I of Internal Medicine and German CLL Study Group, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Julia von Tresckow
- Department of Hematology and Stem Cell Transplantation, West German Cancer Center, University of Duisburg-Essen, Essen, Germany
| | - Othman Al-Sawaf
- Department I of Internal Medicine and German CLL Study Group, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Anna Maria Fink
- Department I of Internal Medicine and German CLL Study Group, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Moritz Fürstenau
- Department I of Internal Medicine and German CLL Study Group, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Nadine Kutsch
- Department I of Internal Medicine and German CLL Study Group, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Florian Simon
- Department I of Internal Medicine and German CLL Study Group, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Valentin Goede
- Division of Oncogeriatrics, St. Marien Hospital, Cologne, Germany
| | - Manuela Hoechstetter
- Interdisciplinary Oncology Center Munich, Outpatient Clinic, Day Hospital, Center for Clinical Trials, Hematology and Oncology, Munich, Germany
| | | | | | - Arnon Kater
- Department of Hematology, Cancer Center Amsterdam, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Julie Dubois
- Department of Hematology, Cancer Center Amsterdam, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Michael Gregor
- Division of Hematology, Luzerner Kantonspital, Lucerne, Switzerland
| | - Philipp Bernhard Staber
- Division of Hematology and Hemostaseology, Medicine I, Medical University of Vienna, Vienna, Austria
- Ludwig Boltzmann Institute for Hematology and Oncology, Medical University of Vienna, Department of Internal Medicine I, Vienna, Austria
| | - Eugen Tausch
- Department of Internal Medicine III, Division of CLL, University Hospital Ulm, Ulm, Germany
| | - Christof Schneider
- Department of Internal Medicine III, Division of CLL, University Hospital Ulm, Ulm, Germany
| | - Stephan Stilgenbauer
- Department of Internal Medicine III, Division of CLL, University Hospital Ulm, Ulm, Germany
| | - Barbara Eichhorst
- Department I of Internal Medicine and German CLL Study Group, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Kirsten Fischer
- Department I of Internal Medicine and German CLL Study Group, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Michael Hallek
- Department I of Internal Medicine and German CLL Study Group, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
- Cologne Cluster of Excellence for Stress Responses in Aging-Associated Diseases, Clinical Research Unit, University of Cologne, Cologne, Germany
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4
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Braish J, Cerchione C, Ferrajoli A. An overview of prognostic markers in patients with CLL. Front Oncol 2024; 14:1371057. [PMID: 38817892 PMCID: PMC11137234 DOI: 10.3389/fonc.2024.1371057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 04/22/2024] [Indexed: 06/01/2024] Open
Abstract
Chronic lymphocytic leukemia (CLL) is a low-grade B-cell lymphoproliferative disorder. It is the most prevalent type of leukemia in the western countries, with a median age at diagnosis of 70 years. In 2023, it is estimated that there will be 18,740 new cases of CLL, and an estimated 4,490 people will die of this disease. It represents 1.0% of all new cancer cases in the U.S. The rate of new cases was 4.6 per 100,000 men and women per year based on 2016-2020 cases, age-adjusted. Death rates from CLL are higher among older adults, or those 75 and older. The death rate was 1.1 per 100,000 men and women per year based on 2016-2020 deaths, age-adjusted. A common question that patients with CLL ask during their first clinic visit is: "How long will it be before I would need treatment?" Although this might seem like a simple question, the answer is not straight forward. CLL is a heterogenous disease, with a variable clinical course. Some patients may present with an aggressive disease requiring early initiation of treatment, while others have an indolent course and some, having so called smoldering CLL, may never need treatment. The variability in disease course can make predicting disease prognosis a complicated process. This brings forth the importance of establishing prognostic models that can predict disease course, time to treatment, and survival outcomes in such a heterogenous disease. The Rai and Binet staging systems were developed in the late 1970s to early 1980s. They separated patients into different stages based on clinical characteristics and laboratory findings. These simple staging systems are still in use; however, several prognostic markers need to be added for an individualized assessment and, with the recent development of genomic techniques leading to better understanding of CLL at the molecular level, newer prognostic markers have emerged.
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Affiliation(s)
- Julie Braish
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Claudio Cerchione
- Hematology Unit, Istituto Romagnolo per lo Studio dei Tumori “Dino Amadori” (IRST), Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Meldola, Italy
| | - Alessandra Ferrajoli
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
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5
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González-Gascón-y-Marín I, Ballesteros-Andrés M, Martínez-Flores S, Rodríguez-Vicente AE, Pérez-Carretero C, Quijada-Álamo M, Rodríguez-Sánchez A, Hernández-Rivas JÁ. The Five "Ws" of Frailty Assessment and Chronic Lymphocytic Leukemia: Who, What, Where, Why, and When. Cancers (Basel) 2023; 15:4391. [PMID: 37686667 PMCID: PMC10486487 DOI: 10.3390/cancers15174391] [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: 08/16/2023] [Revised: 08/28/2023] [Accepted: 08/30/2023] [Indexed: 09/10/2023] Open
Abstract
Chronic lymphocytic leukemia (CLL) is a disease of the elderly, but chronological age does not accurately discriminate frailty status at the inter-individual level. Frailty describes a person's overall resilience. Since CLL is a stressful situation, it is relevant to assess the patient´s degree of frailty, especially before starting antineoplastic treatment. We are in the era of targeted therapies, which have helped to control the disease more effectively and avoid the toxicity of chemo (immuno) therapy. However, these drugs are not free of side effects and other aspects arise that should not be neglected, such as interactions, previous comorbidities, or adherence to treatment, since most of these medications are taken continuously. The challenge we face is to balance the risk of toxicity and efficacy in a personalized way and without forgetting that the most frequent cause of death in CLL is related to the disease. For this purpose, comprehensive geriatric assessment (GA) provides us with the opportunity to evaluate multiple domains that may affect tolerance to treatment and that could be improved with appropriate interventions. In this review, we will analyze the state of the art of GA in CLL through the five Ws.
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Affiliation(s)
| | | | - Sara Martínez-Flores
- Department of Geriatric Medicine, University Hospital Infanta Leonor, 28031 Madrid, Spain
| | - Ana-E Rodríguez-Vicente
- IBSAL, IBMCC, CSIC, Cancer Research Center, University of Salamanca, 37007 Salamanca, Spain
- Department of Hematology, University Hospital of Salamanca, 37007 Salamanca, Spain
| | - Claudia Pérez-Carretero
- IBSAL, IBMCC, CSIC, Cancer Research Center, University of Salamanca, 37007 Salamanca, Spain
- Department of Hematology, University Hospital of Salamanca, 37007 Salamanca, Spain
| | - Miguel Quijada-Álamo
- IBSAL, IBMCC, CSIC, Cancer Research Center, University of Salamanca, 37007 Salamanca, Spain
- Department of Hematology, University Hospital of Salamanca, 37007 Salamanca, Spain
| | - Alberto Rodríguez-Sánchez
- IBSAL, IBMCC, CSIC, Cancer Research Center, University of Salamanca, 37007 Salamanca, Spain
- Department of Hematology, University Hospital of Salamanca, 37007 Salamanca, Spain
| | - José-Ángel Hernández-Rivas
- Department of Hematology, University Hospital Infanta Leonor, 28031 Madrid, Spain
- Department of Medicine, Complutense University, 28040 Madrid, Spain
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6
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Morabito F, Adornetto C, Monti P, Amaro A, Reggiani F, Colombo M, Rodriguez-Aldana Y, Tripepi G, D’Arrigo G, Vener C, Torricelli F, Rossi T, Neri A, Ferrarini M, Cutrona G, Gentile M, Greco G. Genes selection using deep learning and explainable artificial intelligence for chronic lymphocytic leukemia predicting the need and time to therapy. Front Oncol 2023; 13:1198992. [PMID: 37719021 PMCID: PMC10501728 DOI: 10.3389/fonc.2023.1198992] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 07/31/2023] [Indexed: 09/19/2023] Open
Abstract
Analyzing gene expression profiles (GEP) through artificial intelligence provides meaningful insight into cancer disease. This study introduces DeepSHAP Autoencoder Filter for Genes Selection (DSAF-GS), a novel deep learning and explainable artificial intelligence-based approach for feature selection in genomics-scale data. DSAF-GS exploits the autoencoder's reconstruction capabilities without changing the original feature space, enhancing the interpretation of the results. Explainable artificial intelligence is then used to select the informative genes for chronic lymphocytic leukemia prognosis of 217 cases from a GEP database comprising roughly 20,000 genes. The model for prognosis prediction achieved an accuracy of 86.4%, a sensitivity of 85.0%, and a specificity of 87.5%. According to the proposed approach, predictions were strongly influenced by CEACAM19 and PIGP, moderately influenced by MKL1 and GNE, and poorly influenced by other genes. The 10 most influential genes were selected for further analysis. Among them, FADD, FIBP, FIBP, GNE, IGF1R, MKL1, PIGP, and SLC39A6 were identified in the Reactome pathway database as involved in signal transduction, transcription, protein metabolism, immune system, cell cycle, and apoptosis. Moreover, according to the network model of the 3D protein-protein interaction (PPI) explored using the NetworkAnalyst tool, FADD, FIBP, IGF1R, QTRT1, GNE, SLC39A6, and MKL1 appear coupled into a complex network. Finally, all 10 selected genes showed a predictive power on time to first treatment (TTFT) in univariate analyses on a basic prognostic model including IGHV mutational status, del(11q) and del(17p), NOTCH1 mutations, β2-microglobulin, Rai stage, and B-lymphocytosis known to predict TTFT in CLL. However, only IGF1R [hazard ratio (HR) 1.41, 95% CI 1.08-1.84, P=0.013), COL28A1 (HR 0.32, 95% CI 0.10-0.97, P=0.045), and QTRT1 (HR 7.73, 95% CI 2.48-24.04, P<0.001) genes were significantly associated with TTFT in multivariable analyses when combined with the prognostic factors of the basic model, ultimately increasing the Harrell's c-index and the explained variation to 78.6% (versus 76.5% of the basic prognostic model) and 52.6% (versus 42.2% of the basic prognostic model), respectively. Also, the goodness of model fit was enhanced (χ2 = 20.1, P=0.002), indicating its improved performance above the basic prognostic model. In conclusion, DSAF-GS identified a group of significant genes for CLL prognosis, suggesting future directions for bio-molecular research.
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Affiliation(s)
| | - Carlo Adornetto
- Department of Mathematics and Computer Science, University of Calabria, Cosenza, Italy
| | - Paola Monti
- Mutagenesis and Cancer Prevention Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale Policlinico San Martino, Genoa, Italy
| | - Adriana Amaro
- Tumor Epigenetics Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale Policlinico San Martino, Genoa, Italy
| | - Francesco Reggiani
- Tumor Epigenetics Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale Policlinico San Martino, Genoa, Italy
| | - Monica Colombo
- Molecular Pathology Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale Policlinico San Martino, Genoa, Italy
| | | | - Giovanni Tripepi
- Consiglio Nazionale delle Ricerche, Istituto di Fisiologia Clinica del Consiglio Nazionale delle Ricerche (CNR), Reggio Calabria, Italy
| | - Graziella D’Arrigo
- Consiglio Nazionale delle Ricerche, Istituto di Fisiologia Clinica del Consiglio Nazionale delle Ricerche (CNR), Reggio Calabria, Italy
| | - Claudia Vener
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Federica Torricelli
- Laboratory of Translational Research, Azienda Unità Sanitaria Locale - Istituto di Ricovero e Cura a Crabtree Scientifico (USL-IRCCS) of Reggio Emilia, Reggio Emilia, Italy
| | - Teresa Rossi
- Laboratory of Translational Research, Azienda Unità Sanitaria Locale - Istituto di Ricovero e Cura a Crabtree Scientifico (USL-IRCCS) of Reggio Emilia, Reggio Emilia, Italy
| | - Antonino Neri
- Scientific Directorate, Azienda Unità Sanitaria Locale - Istituto di Ricovero e Cura a Carattere Scientifico (USL-IRCCS) of Reggio Emilia, Reggio Emilia, Italy
| | - Manlio Ferrarini
- Unità Operariva (UO) Molecular Pathology, Ospedale Policlinico San Martino Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Genoa, Italy
| | - Giovanna Cutrona
- Molecular Pathology Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale Policlinico San Martino, Genoa, Italy
| | - Massimo Gentile
- Hematology Unit, Department of Onco-Hematology, Azienda Ospedaliera (A.O.) of Cosenza, Cosenza, Italy
- Department of Pharmacy and Health and Nutritional Sciences, University of Calabria, Cosenza, Italy
| | - Gianluigi Greco
- Department of Mathematics and Computer Science, University of Calabria, Cosenza, Italy
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7
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Robbe P, Schuh A. Genomic Stratification of Hematological Malignancies. Hemasphere 2023; 7:e902. [PMID: 37251914 PMCID: PMC10219718 DOI: 10.1097/hs9.0000000000000902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 04/25/2023] [Indexed: 05/31/2023] Open
Affiliation(s)
- Pauline Robbe
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Anna Schuh
- Department of Oncology, University of Oxford, United Kingdom
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8
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Pei K, Xu H, Wang P, Gan W, Hu Z, Su X, Zhang H, He Y. Anti-CLL1-based CAR T-cells with 4-1-BB or CD28/CD27 stimulatory domains in treating childhood refractory/relapsed acute myeloid leukemia. Cancer Med 2023; 12:9655-9661. [PMID: 37031462 PMCID: PMC10166968 DOI: 10.1002/cam4.5916] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 03/06/2023] [Accepted: 03/27/2023] [Indexed: 04/11/2023] Open
Abstract
BACKGROUND Though the efficacy of anti C-type lectin-like molecule-1 (CLL1) CAR T-cells in refractory/relapsed acute myeloid leukemia (R/R-AML) have been occasionally reported, the influence of co-stimulatory domain CAR T-cells is not investigated so far. METHOD Seven R/R-AML children treated with anti-CLL1 CAR T-cells were enrolled onto this preliminary comparison study. Among these seven patients, four received CD28/CD27-based CAR T-cells therapy, and three received 4-1BB-based CAR T-cells therapy. RESULT The overall response rates were 75% and 66.7% in CD28/CD27 and 4-1BB group respectively. All patients experienced grade 1 to 2 cytokine release syndrome, with only one patient experiencing grade 2 immune effector cell-associated neurotoxicity syndrome. The maximum CAR T-cells durations were 156 and 274 days for CD28/CD27 group and 4-1BB group respectively. The 1-yr overall survival rate was 57.1%. CONCLUSIONS A preliminary similar efficacy/safety index was observed in anti-CLL1-based CAR T-cells with 4-1BB or CD28/CD27 co-stimulatory elements in treating pediatric R/R-AML.
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Affiliation(s)
- Kunlin Pei
- Department of Hematology/Oncology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China
- Guangzhou Medical University, Guangzhou, 511495, Guangdong, China
| | - Haoyu Xu
- Department of Hematology/Oncology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China
- Guangzhou Medical University, Guangzhou, 511495, Guangdong, China
| | - Pengfei Wang
- Department of Hematology/Oncology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China
| | - Wening Gan
- Department of Hematology/Oncology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China
| | - Zhengbin Hu
- Department of Hematology/Oncology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China
| | - Xiaoling Su
- Department of Hematology/Oncology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China
| | - Hui Zhang
- Department of Hematology/Oncology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China
| | - Yingyi He
- Department of Hematology/Oncology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623, Guangdong, China
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9
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Xu Z, Pan B, Li Y, Xia Y, Liang J, Kong Y, Zhang X, Tang J, Wang L, Li J, Xu W, Wu J. Identification and Validation of Ferroptosis-Related LncRNAs Signature as a Novel Prognostic Model for Chronic Lymphocytic Leukemia. Int J Gen Med 2023; 16:1541-1553. [PMID: 37131869 PMCID: PMC10149066 DOI: 10.2147/ijgm.s399629] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Accepted: 03/27/2023] [Indexed: 05/04/2023] Open
Abstract
Background Chronic lymphocytic leukemia (CLL) is a subtype of B-cell malignancy with high heterogeneity. Ferroptosis is a novel cell death induced by iron and lipid peroxidation and exhibits prognostic value in many cancers. Emerging studies on long non-coding RNAs (lncRNAs) and ferroptosis reveal the unique value in tumorigenesis. However, the prognostic value of ferroptosis-related lncRNAs (FRLs) remains unclear in CLL. Aim We aimed to construct a FRLs risk model to predict prognosis and improve prognostic stratification for clinical practice. Methods RNA-sequencing data and clinical characteristics of CLL patients were downloaded from the GEO database. Based on ferroptosis-related genes from FerrDb database, differentially expressed FRLs with prognostic significance were identified and used to generate the risk model. The capability of the risk model was assessed and evaluated. GO and KEGG analyses were performed to confirm biological roles and potential pathways. Results A novel ferroptosis-related lncRNAs prognostic score (FPS) model containing six FRLs (PRKCQ, TRG.AS1, LNC00467, LNC01096, PCAT6 and SBF2.AS1) was identified. Patients in the training and validation cohort were evenly divided into high- and low-risk groups. Our results indicated that patients in the high-risk group had worse survival than those in the low-risk group. Functional enrichment analyses showed that the differently expressed genes (DEGs) between the two groups were enriched in the chemokine signaling pathway, hematopoietic cell lineage, T cell differentiation, TCR pathway and NF-κB pathway. Moreover, significant differences in immune cell infiltration were also observed. Surprisingly, FPS was proved to be an independent prognostic indicator for OS. Conclusion We established and evaluated a novel prognostic risk model with 6 FRLs that could predict prognosis accurately and describe the distinct immune infiltration in CLL.
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Affiliation(s)
- Zhangdi Xu
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Bihui Pan
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Yue Li
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Yi Xia
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Jinhua Liang
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Yilin Kong
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Xinyu Zhang
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Jing Tang
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Li Wang
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Jianyong Li
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Wei Xu
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Jiazhu Wu
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
- Correspondence: Jiazhu Wu; Wei Xu, Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, People’s Republic of China, Tel +86-25-83781120, Fax +86-25-83781120, Email ;
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10
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Immunoglobulin gene sequence analysis in chronic lymphocytic leukemia: the 2022 update of the recommendations by ERIC, the European Research Initiative on CLL. Leukemia 2022; 36:1961-1968. [PMID: 35614318 PMCID: PMC9343247 DOI: 10.1038/s41375-022-01604-2] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 05/04/2022] [Accepted: 05/12/2022] [Indexed: 11/18/2022]
Abstract
The somatic hypermutation (SHM) status of the clonotypic immunoglobulin heavy variable (IGHV) gene is a critical biomarker for assessing the prognosis of patients with chronic lymphocytic leukemia (CLL). Importantly, independent studies have documented that IGHV SHM status is also a predictor of responses to therapy, including both chemoimmunotherapy (CIT) and novel, targeted agents. Moreover, immunogenetic analysis in CLL has revealed that different patients may express (quasi)identical, stereotyped B cell receptor immunoglobulin (BcR IG) and are classified into subsets based on this common feature. Patients in certain stereotyped subsets display consistent biology, clinical presentation, and outcome that are distinct from other patients, even with concordant IGHV gene SHM status. All of the above highlights the relevance of immunogenetic analysis in CLL, which is considered a cornerstone for accurate risk stratification and clinical decision making. Recommendations for robust immunogenetic analysis exist thanks to dedicated efforts by ERIC, the European Research Initiative on CLL, covering all test phases, from the pre-analytical and analytical to the post-analytical, pertaining to the analysis, interpretation, and reporting of the findings. That said, these recommendations apply to Sanger sequencing, which is increasingly being superseded by next generation sequencing (NGS), further underscoring the need for an update. Here, we present an overview of the clinical utility of immunogenetics in CLL and update our analytical recommendations with the aim to assist in the refined management of patients with CLL.
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11
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The landscape of immunoglobulin heavy chain gene repertoire and its clinical relevance in LPL/WM. Blood Adv 2022; 6:4049-4059. [PMID: 35537114 PMCID: PMC9278287 DOI: 10.1182/bloodadvances.2022007279] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 04/24/2022] [Indexed: 01/25/2023] Open
Abstract
We unveil the distinct patterns of IGHV repertoire and discuss the correlation between IGHV and other genetic abnormalities in LPL/WM. IGHV4 usage was a predictive marker of shorter progression-free survival in patients with LPL/WM.
Lymphoplasmacytic lymphoma/Waldenström macroglobulinemia (LPL/WM) is a heterogeneous disease in which the role of immunoglobulin heavy-chain genes (IGHs) remains unknown. To determine the clinical relevance of the IGH repertoire in patients with LPL/WM, we performed immunoglobulin gene rearrangement and complementarity determining region 3 (CDR3) analysis. The IGH variable gene (IGHV) repertoire was remarkably biased in LPL/WM. IGHV3-23, IGHV4-34, IGHV3-30, IGHV3-7, and IGHV3-74 accounted for one-half of the cohort’s repertoire. Most cases (97.1%) were found to carry mutated IGHV genes, based on a 98% IGHV germline homology cutoff. IGHV3-30 was associated with long heavy chain CDR3, indicating there was specific antigen selection in LPL/WM. Patients with IGHV3-7 were significantly more likely to harbor the 6q deletion (P < .001) and an abnormal karyotype (P = .004). The IGHV hypermutation rate in patients with the MYD88 L265P mutation was significantly higher than that of wild-type patients (P = .050). IGHV3-23 and IGHV3-74 segments were more frequently detected in patients with MYD88-mutated LPL/WM (P = .050), whereas IGHV3-7 presented more frequently in MYD88 wild-type patients (P = .042). Patients with IGHV4, especially IGHV4-34, had higher levels of lactate dehydrogenase, and IGHV4 was a predictive marker of shorter progression-free survival. These results showed for the first time that the IGHV repertoire has clinical relevance in LPL/WM.
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12
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Brieghel C, Galle V, Agius R, da Cunha-Bang C, Andersen MA, Vlummens P, Mattsson M, Rosenquist R, Smedby KE, Herling CD, Bahlo J, Hallek M, Lundgren JD, Offner F, Niemann CU. Identifying patients with chronic lymphocytic leukemia without need of treatment: End of endless watch and wait? Eur J Haematol 2022; 108:369-378. [PMID: 35030282 DOI: 10.1111/ejh.13743] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 01/07/2022] [Accepted: 01/10/2022] [Indexed: 11/27/2022]
Abstract
INTRODUCTION Early-stage chronic lymphocytic leukemia (CLL) challenges specialized management and follow-up. METHODS We developed and validated a prognostic index to identify newly diagnosed patients without need of treatment (CLL-WONT) by a training/validation approach using data on 4708 patients. Composite scores derived from weighted hazards by multivariable analysis defined CLL-WONT risk groups. RESULTS Age (>65 years: 1 point), Binet stage (B: 2 points), lactate dehydrogenase (LDH) (>205 U/L: 1 point), absolute lymphocyte count (15-30 × 109 /L: 1 point; >30 × 109 /L; 2 points), β2-microglobulin (>4 mg/L: 1 point), IGHV mutation status (unmutated: 1 point), and 11q or 17p deletion (1 point) were independently associated with shorter time to first treatment (TTFT). Low-risk patients demonstrated 5-year TTFT of 2% by internal validation, but 7-19% by external validation. Including all patients with complete scores, the 5-year TTFT was 10% for the 756 (39%) CLL-WONT low-risk patients, and the 704 (37%) patients who were both CLL-WONT and CLL-IPI low risk demonstrated even lower 5-year TTFT (8%). CONCLUSION We have adopted the CLL-WONT at an institution covering 1 800 000 individuals to allow patients with both low-risk CLL-WONT and CLL-IPI to be managed by primary healthcare providers, thereby prioritizing specialized hematology services for patients in dire need.
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Affiliation(s)
| | - Veerle Galle
- Department of Clinical Hematology, Ghent University Hospital, Ghent, Belgium
| | - Rudi Agius
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark
| | | | | | - Philip Vlummens
- Department of Clinical Hematology, Ghent University Hospital, Ghent, Belgium
| | - Mattias Mattsson
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.,Department of Hematology, Uppsala University Hospital, Uppsala, Sweden
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Clinical Genetics, Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden
| | - Karin E Smedby
- Department of Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Carmen D Herling
- Department of Internal Medicine, Uniklinik Köln, Cologne, Germany
| | - Jasmin Bahlo
- Department of Internal Medicine, Uniklinik Köln, Cologne, Germany
| | - Michael Hallek
- Department of Internal Medicine, Uniklinik Köln, Cologne, Germany
| | - Jens D Lundgren
- Centre for Health, Immunity and Infectious Diseases (CHIP), Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Fritz Offner
- Department of Clinical Hematology, Ghent University Hospital, Ghent, Belgium
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13
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Sha YQ, Shen H, Wu W, Xia Y, Miao Y, Cao L, Wang L, Fan L, Xu W, Li JY, Zhu HY. [Comparison of four prognostic scoring system in patients with early asymptomatic chronic lymphocytic leukemia patients]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2021; 42:834-839. [PMID: 34788923 PMCID: PMC8607014 DOI: 10.3760/cma.j.issn.0253-2727.2021.10.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Indexed: 11/05/2022]
Abstract
Objective: To compare the prognostic value of four prognostic models in predicting time to first treatment (TTFT) in patients with Binet A Chinese chronic lymphocytic leukemia (CLL) . Methods: This retrospective analysis included one hundred and ten patients with Binet A CLL, initially diagnosed in the First Affiliated Hospital of Nanjing Medical University (Pukou CLL center) from June 2009 to January 2020. Risk stratification was conducted according to IPS-E, CLL-IPI, CLL1-PM, and Barcelona-Brno prognostic models. Results: Among 110 patients with Binet A CLL patients, the median age was 58 (25-84) years. The median follow-up time was 35 (4-189) months, and 57 (51.8%) patients met the indication for treatment due to symptomatic disease progression during follow-up. Log-rank analysis of nine variables was conducted involving age, Rai stage, absolute lymphocyte count (ALC) , lymph node size, lymphocyte doubling time (LDT) , β(2)-Microglobulin, IGHV status, TP53, and Del (11q) . Additionally, Rai Ⅰ-Ⅲ, ALC>15×10(9)/L, palpable lymph node size ≥1cm, β(2)-Microglobulin>3.5 mg/L, unmutated IGHV, TP53 mutation or deletion, and 11q deletion were independent risk factors of TTFT. Predictive value of each model was assessed by Harrel C-index and Akaike information criterion (AIC) with CLL1-PM (C-index=0.736, AIC=777) , followed by CLL-IPI (C-index=0.722, AIC=933) , IPS-E (C-index=0.683, AIC=1004) , and Barcelona-Brno prognostic model (C-index=0.663, AIC=986) . Conclusion: All four prognostic models effectively predicted TTFT. IPS-E might be an ideal model to guide clinical surveillance because of its easy accessibility and low expenses in routine clinical practice. Therefore, for patients receiving fluorescence in situ hybridization (FISH) and next-generation sequencing (NGS) examination at diagnosis, CLL-IPI or CLL1-PM could be applied to evaluate their prognosis more comprehensively.
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Affiliation(s)
- Y Q Sha
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China Pukou CLL Center, Pukou Division of Jiangsu Province Hospital, Nanjing 211800, China
| | - H Shen
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China Pukou CLL Center, Pukou Division of Jiangsu Province Hospital, Nanjing 211800, China
| | - W Wu
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China Pukou CLL Center, Pukou Division of Jiangsu Province Hospital, Nanjing 211800, China
| | - Y Xia
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China Pukou CLL Center, Pukou Division of Jiangsu Province Hospital, Nanjing 211800, China
| | - Y Miao
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China Pukou CLL Center, Pukou Division of Jiangsu Province Hospital, Nanjing 211800, China
| | - L Cao
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China Pukou CLL Center, Pukou Division of Jiangsu Province Hospital, Nanjing 211800, China
| | - L Wang
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China Pukou CLL Center, Pukou Division of Jiangsu Province Hospital, Nanjing 211800, China
| | - L Fan
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China Pukou CLL Center, Pukou Division of Jiangsu Province Hospital, Nanjing 211800, China
| | - W Xu
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China Pukou CLL Center, Pukou Division of Jiangsu Province Hospital, Nanjing 211800, China
| | - J Y Li
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China Pukou CLL Center, Pukou Division of Jiangsu Province Hospital, Nanjing 211800, China
| | - H Y Zhu
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China Pukou CLL Center, Pukou Division of Jiangsu Province Hospital, Nanjing 211800, China
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14
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Molica S, Seymour JF, Polliack A. A perspective on prognostic models in chronic lymphocytic leukemia in the era of targeted agents. Hematol Oncol 2021; 39:595-604. [PMID: 34596261 DOI: 10.1002/hon.2929] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 09/18/2021] [Accepted: 09/20/2021] [Indexed: 12/23/2022]
Abstract
Despite the increase in the number of prognostic models currently available for evaluating patients with chronic lymphocytic leukemia (CLL), their current application and utilization in clinical practice in the era of targeted agents is unclear. A critical reappraisal of recently developed prognostic models is presented in this review. The underlying CLL's genetic instability and changes in the host's health and comorbidities can all contribute to the acquisition of additional risk factors for adverse outcomes during the course of the disease. Therefore, available risk models solely based on pretreatment variables only partially predict patients' clinical outcome. A dynamic prognostic model that takes into account changes in the risk profile over time could indeed be useful in routine clinical practice. The next generation of risk assessment models should incorporate post-treatment and response biomarkers such as minimal residual disease. Finally, recent advances in the field of machine learning present novel opportunities to generate models capable of providing an individualized estimation of clinical outcomes in CLL. However, in the era of improved prognostic models, it is important to remember that these indices should supplement but not replace clinical expertise and medical decision-making.
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Affiliation(s)
- Stefano Molica
- Department Hematology-Oncology, Azienda Ospedaliera Pugliese-Ciaccio, Catanzaro, Italy
| | - John F Seymour
- Department of Haematology, Peter MacCallum Cancer Centre, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - Aaron Polliack
- Department of Hematology, Hadassah - Hebrew University Medical Center, Jerusalem, Israel
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15
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Yang S, Huang X, Gale RP. Cell therapy of chronic lymphocytic leukaemia: Transplants and chimeric antigen receptor (CAR)-T cells. Blood Rev 2021; 51:100884. [PMID: 34489116 DOI: 10.1016/j.blre.2021.100884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 08/17/2021] [Accepted: 08/20/2021] [Indexed: 11/24/2022]
Abstract
There is substantial progress in the therapy of chronic lymphocytic leukaemia (CLL), much of it the result of new drug development. As such the definition of high-risk CLL is changing. Nevertheless, few persons with CLL are cured with current therapy. Two types of cell therapies of CLL are currently being evaluated or re-evaluated in the context of these advances: haematopoietic cell transplants and chimeric antigen receptor (CAR)-T-cells. We discuss the potential role of these cell therapies in the context of the evolving therapy topography of CLL including how these therapies work and who, if anyone, is an appropriate candidate for cell therapy.
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Affiliation(s)
- Shenmiao Yang
- Peking University Peoples Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Xiaojun Huang
- Peking University Peoples Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing, China.
| | - Robert Peter Gale
- Centre for Haematology Research, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom.
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16
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Morabito F, Tripepi G, Moia R, Recchia AG, Boggione P, Mauro FR, Bossio S, D'Arrigo G, Martino EA, Vigna E, Storino F, Fronza G, Di Raimondo F, Rossi D, Condoluci A, Colombo M, Fais F, Fabris S, Foa R, Cutrona G, Gentile M, Montserrat E, Gaidano G, Ferrarini M, Neri A. Lymphocyte Doubling Time As A Key Prognostic Factor To Predict Time To First Treatment In Early-Stage Chronic Lymphocytic Leukemia. Front Oncol 2021; 11:684621. [PMID: 34408978 PMCID: PMC8366564 DOI: 10.3389/fonc.2021.684621] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 07/05/2021] [Indexed: 12/23/2022] Open
Abstract
The prognostic role of lymphocyte doubling time (LDT) in chronic lymphocytic leukemia (CLL) was recognized more than three decades ago when the neoplastic clone’s biology was almost unknown. LDT was defined as the time needed for the peripheral blood lymphocyte count to double the of the initial observed value. Herein, the LDT prognostic value for time to first treatment (TTFT) was explored in our prospective O-CLL cohort and validated in in two additional CLL cohorts. Specifically, newly diagnosed Binet stage A CLL patients from 40 Italian Institutions, representative of the whole country, were prospectively enrolled into the O-CLL1-GISL protocol (clinicaltrial.gov identifier: NCT00917540). Two independent cohorts of newly diagnosed CLL patients recruited respectively at the Division of Hematology in Novara, Italy, and at the Hospital Clinic in Barcelona, Spain, were utilized as validation cohorts. In the training cohort, TTFT of patients with LDT >12 months was significantly longer related to those with a shorter LDT. At Cox multivariate regression model, LDT ≤ 12 months maintained a significant independent relationship with shorter TTFT along with IGHV unmutated (IGHVunmut) status, 11q and 17p deletions, elevated β2M, Rai stage I-II, and NOTCH1 mutations. Based on these statistics, two regression models were constructed including the same prognostic factors with or without the LDT. The model with the LTD provided a significantly better data fitting (χ2 = 8.25, P=0.0041). The risk prediction developed including LDT had better prognostic accuracy than those without LDT. Moreover, the Harrell’C index for the scores including LDT were higher than those without LDT, although the accepted 0.70 threshold exceeded in both cases. These findings were also confirmed when the same analysis was carried out according to TTFT’s explained variation. When data were further analyzed based on the combination between LDT and IGHV mutational status in the training and validation cohorts, IGHVunmut and LDT>12months group showed a predominant prognostic role over IGHVmut LTD ≤ 12 months (P=0.006) in the O-CLL validation cohort. However, this predominance was of borden-line significance (P=0.06) in the Barcelona group, while the significant prognostic impact was definitely lost in the Novara group. Overall, in this study, we demonstrated that LDT could be re-utilized together with the more sophisticated prognostic factors to manage the follow-up plans for Binet stage A CLL patients.
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Affiliation(s)
- Fortunato Morabito
- Department of Onco-Hematology Azienda Ospedaliera (AO) Cosenza, Biotechnology Research Unit, Cosenza, Italy.,Department of Hematology and Bone Marrow Transplant Unit, Augusta Victoria Hospital, Jerusalem, Israel
| | - Giovanni Tripepi
- Centro Nazionale Ricerca Istituto di Fisiologia Clinica (CNR-IFC), Research Unit of Reggio Calabria, Reggio Calabria, Italy
| | - Riccardo Moia
- Division of Hematology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Anna Grazia Recchia
- Department of Onco-Hematology Azienda Ospedaliera (AO) Cosenza, Biotechnology Research Unit, Cosenza, Italy
| | - Paola Boggione
- Division of Hematology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Francesca Romana Mauro
- Hematology, Department of Translational and Precision Medicine, 'Sapienza' University, Rome, Italy
| | - Sabrina Bossio
- Department of Onco-Hematology Azienda Ospedaliera (AO) Cosenza, Biotechnology Research Unit, Cosenza, Italy
| | - Graziella D'Arrigo
- Centro Nazionale Ricerca Istituto di Fisiologia Clinica (CNR-IFC), Research Unit of Reggio Calabria, Reggio Calabria, Italy
| | | | - Ernesto Vigna
- Department of Onco-Hematology AO Cosenza, Hematology Unit AO of Cosenza, Cosenza, Italy
| | - Francesca Storino
- Department of Onco-Hematology Azienda Ospedaliera (AO) Cosenza, Biotechnology Research Unit, Cosenza, Italy
| | - Gilberto Fronza
- Mutagenesis and Cancer Prevention Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Francesco Di Raimondo
- Division of Hematology, Policlinico, Department of Surgery and Medical Specialties, University of Catania, Catania, Italy
| | - Davide Rossi
- Hematology, Oncology Institute of Southern Switzerland, Bellinzona, Switzerland
| | - Adalgisa Condoluci
- Hematology, Oncology Institute of Southern Switzerland, Bellinzona, Switzerland
| | - Monica Colombo
- Molecular Pathology Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Franco Fais
- Molecular Pathology Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy.,Department of Experimental Medicine, University of Genoa, Genoa, Italy
| | - Sonia Fabris
- Hematology Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Robin Foa
- Hematology, Department of Translational and Precision Medicine, 'Sapienza' University, Rome, Italy
| | - Giovanna Cutrona
- Molecular Pathology Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Massimo Gentile
- Department of Onco-Hematology AO Cosenza, Hematology Unit AO of Cosenza, Cosenza, Italy
| | - Emili Montserrat
- Department of Hematology, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Gianluca Gaidano
- Division of Hematology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Manlio Ferrarini
- Department of Experimental Medicine, University of Genoa, Genoa, Italy
| | - Antonino Neri
- Hematology Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
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17
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Baumann T, Moia R, Gaidano G, Delgado J, Condoluci A, Villamor N, Payedimarri AB, Costa D, Patriarca A, Jiménez-Vicente C, Rossi D, Montserrat E. Lymphocyte doubling time in chronic lymphocytic leukemia modern era: a real-life study in 848 unselected patients. Leukemia 2021; 35:2325-2331. [PMID: 33542480 DOI: 10.1038/s41375-021-01149-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 11/17/2020] [Accepted: 01/21/2021] [Indexed: 01/29/2023]
Abstract
The prognostic significance of lymphocyte doubling time (LDT) in chronic lymphocytic leukemia (CLL) was identified when the biology of the disease was poorly understood and therapy was not effective. We assessed the clinical and biological significance of LDT in 848 CLL patients in a real-life setting and the context of new biomarkers and effective therapy. A short LDT (≤12 months) was enriched for adverse biomarkers. Patients with a rapid LDT did need therapy shortly after diagnosis (median 23 months vs. not reached; p < 0.001) and had a poorer overall survival (median 95 months vs. not reached p < 0.001). LDT, IGHV mutational status, Beta-2 microglobulin, and Rai clinical stage were independent predictors for time to first treatment in the whole series and in Binet stage A patients. No correlation was observed between LDT and response to chemoimmunotherapy. However, a short LDT along with age ≥65 years, high-risk FISH (del(17p), del(11q)), unmutated IGHV, increased Beta-2 microglobulin, and TP53 mutations predicted short survival. Moreover, the prognostic significance of LDT was independent of the CLL-IPI and the Barcelona/Brno prognostic model. LDT remains an important outcome marker in the modern CLL era and should be incorporated into the clinical assessment and stratification of CLL patients.
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Affiliation(s)
- Tycho Baumann
- Department of Hematology, Hospital Clinic, University of Barcelona, Barcelona, Spain.,Servicio de Hematología, Hospital 12 de Octubre, Madrid, Spain
| | - Riccardo Moia
- Division of Hematology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Gianluca Gaidano
- Division of Hematology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Julio Delgado
- Department of Hematology, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Adalgisa Condoluci
- Division of Hematology, Oncology Institute of Southern Switzerland, Bellinzona, Switzerland
| | - Neus Villamor
- Department of Pathology, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Anil Babu Payedimarri
- Division of Hematology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Dolors Costa
- Cancer Cytogenetics, Department of Pathology, Hospital Clinic, Barcelona, Spain
| | - Andrea Patriarca
- Division of Hematology, Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | | | - Davide Rossi
- Division of Hematology, Oncology Institute of Southern Switzerland, Bellinzona, Switzerland
| | - Emili Montserrat
- Department of Hematology, Hospital Clinic, University of Barcelona, Barcelona, Spain.
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18
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Biological significance of monoallelic and biallelic BIRC3 loss in del(11q) chronic lymphocytic leukemia progression. Blood Cancer J 2021; 11:127. [PMID: 34244476 PMCID: PMC8270906 DOI: 10.1038/s41408-021-00520-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 06/20/2021] [Accepted: 06/23/2021] [Indexed: 02/06/2023] Open
Abstract
BIRC3 is monoallelically deleted in up to 80% of chronic lymphocytic leukemia (CLL) cases harboring del(11q). In addition, truncating mutations in the remaining allele of this gene can lead to BIRC3 biallelic inactivation, which has been shown to be a marker for reduced survival in CLL. Nevertheless, the biological mechanisms by which these lesions could contribute to del(11q) CLL pathogenesis and progression are partially unexplored. We implemented the CRISPR/Cas9-editing system to generate isogenic CLL cell lines harboring del(11q) and/or BIRC3 mutations, modeling monoallelic and biallelic BIRC3 loss. Our results reveal that monoallelic BIRC3 deletion in del(11q) cells promotes non-canonical NF-κB signaling activation via RelB-p52 nuclear translocation, being these effects allelic dose-dependent and therefore further enhanced in del(11q) cells with biallelic BIRC3 loss. Moreover, we demonstrate ex vivo in primary cells that del(11q) cases including BIRC3 within their deleted region show evidence of non-canonical NF-κB activation which correlates with high BCL2 levels and enhanced sensitivity to venetoclax. Furthermore, our results show that BIRC3 mutations in del(11q) cells promote clonal advantage in vitro and accelerate leukemic progression in an in vivo xenograft model. Altogether, this work highlights the biological bases underlying disease progression of del(11q) CLL patients harboring BIRC3 deletion and mutation.
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19
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Will New Drugs Replace Transplants for Chronic Lymphocytic Leukaemia? J Clin Med 2021; 10:jcm10112516. [PMID: 34200119 PMCID: PMC8201027 DOI: 10.3390/jcm10112516] [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: 03/08/2021] [Revised: 05/15/2021] [Accepted: 06/03/2021] [Indexed: 11/16/2022] Open
Abstract
Transplants have been used to treat chronic lymphocytic leukemia (CLL) for more than 35 years. Use has been restricted to <1 percent of highly selected persons typically failing concurrent conventional therapies. As therapies of CLL have evolved, so have indications for transplantation and transplant techniques. The data that we review indicate that transplants can result in long-term leukemia-free survival in some persons but are associated with substantial transplant-related morbidity and mortality. We discuss the mechanisms underlying the anti-leukemia effects of transplants including drugs, ionizing radiations, immune-mediated mechanisms and/or a combination. We discuss prognostic and predicative covariates for transplant outcomes. Importantly, we consider whether there is presently a role of transplants in CLL and who, if anyone, is an appropriate candidate in the context of new drugs.
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20
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From Biomarkers to Models in the Changing Landscape of Chronic Lymphocytic Leukemia: Evolve or Become Extinct. Cancers (Basel) 2021; 13:cancers13081782. [PMID: 33917885 PMCID: PMC8068228 DOI: 10.3390/cancers13081782] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 03/27/2021] [Accepted: 04/05/2021] [Indexed: 12/23/2022] Open
Abstract
Simple Summary Chronic lymphocytic leukemia (CLL) is characterized by a highly variable clinical course. Thus, predicting the outcome of patients with this disease is a topic of special interest. The rapidly changing treatment landscape of CLL has questioned the value of classical biomarkers and prognostic models. Herein we examine the current state-of-the-art of prognostic and predictive biomarkers in the setting of new oral targeted agents with special focus on the most controversial findings over the last years. We also discuss the available information on the role of “old” and “new” prognostic models in the era of oral small molecules. Abstract Chronic lymphocytic leukemia (CLL) is an extremely heterogeneous disease. With the advent of oral targeted agents (Tas) the treatment of CLL has undergone a revolution, which has been accompanied by an improvement in patient’s survival and quality of life. This paradigm shift also affects the value of prognostic and predictive biomarkers and prognostic models, most of them inherited from the chemoimmunotherapy era but with a different behavior with Tas. This review discusses: (i) the role of the most relevant prognostic and predictive biomarkers in the setting of Tas; and (ii) the validity of classic and new scoring systems in the context of Tas. In addition, a critical point of view about predictive biomarkers with special emphasis on 11q deletion, novel resistance mutations, TP53 abnormalities, IGHV mutational status, complex karyotype and NOTCH1 mutations is stated. We also go over prognostic models in early stage CLL such as IPS-E. Finally, we provide an overview of the applicability of the CLL-IPI for patients treated with Tas, as well as the emergence of new models, generated with data from patients treated with Tas.
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21
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Walker JS, Hing ZA, Harrington B, Baumhardt J, Ozer HG, Lehman A, Giacopelli B, Beaver L, Williams K, Skinner JN, Cempre CB, Sun Q, Shacham S, Stromberg BR, Summers MK, Abruzzo LV, Rassenti L, Kipps TJ, Parikh S, Kay NE, Rogers KA, Woyach JA, Coppola V, Chook YM, Oakes C, Byrd JC, Lapalombella R. Recurrent XPO1 mutations alter pathogenesis of chronic lymphocytic leukemia. J Hematol Oncol 2021; 14:17. [PMID: 33451349 PMCID: PMC7809770 DOI: 10.1186/s13045-021-01032-2] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Accepted: 01/01/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Exportin 1 (XPO1/CRM1) is a key mediator of nuclear export with relevance to multiple cancers, including chronic lymphocytic leukemia (CLL). Whole exome sequencing has identified hot-spot somatic XPO1 point mutations which we found to disrupt highly conserved biophysical interactions in the NES-binding groove, conferring novel cargo-binding abilities and forcing cellular mis-localization of critical regulators. However, the pathogenic role played by change-in-function XPO1 mutations in CLL is not fully understood. METHODS We performed a large, multi-center retrospective analysis of CLL cases (N = 1286) to correlate nonsynonymous mutations in XPO1 (predominantly E571K or E571G; n = 72) with genetic and epigenetic features contributing to the overall outcomes in these patients. We then established a mouse model with over-expression of wildtype (wt) or mutant (E571K or E571G) XPO1 restricted to the B cell compartment (Eµ-XPO1). Eµ-XPO1 mice were then crossed with the Eµ-TCL1 CLL mouse model. Lastly, we determined crystal structures of XPO1 (wt or E571K) bound to several selective inhibitors of nuclear export (SINE) molecules (KPT-185, KPT-330/Selinexor, and KPT-8602/Eltanexor). RESULTS We report that nonsynonymous mutations in XPO1 associate with high risk genetic and epigenetic features and accelerated CLL progression. Using the newly-generated Eµ-XPO1 mouse model, we found that constitutive B-cell over-expression of wt or mutant XPO1 could affect development of a CLL-like disease in aged mice. Furthermore, concurrent B-cell expression of XPO1 with E571K or E571G mutations and TCL1 accelerated the rate of leukemogenesis relative to that of Eµ-TCL1 mice. Lastly, crystal structures of E571 or E571K-XPO1 bound to SINEs, including Selinexor, are highly similar, suggesting that the activity of this class of compounds will not be affected by XPO1 mutations at E571 in patients with CLL. CONCLUSIONS These findings indicate that mutations in XPO1 at E571 can drive leukemogenesis by priming the pre-neoplastic lymphocytes for acquisition of additional genetic and epigenetic abnormalities that collectively result in neoplastic transformation.
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Affiliation(s)
- Janek S Walker
- Division of Hematology, Department of Internal Medicine, The Ohio State University, 460 OSUCCC, 410 West 12th Avenue, Columbus, OH, 43210, USA
| | - Zachary A Hing
- Division of Hematology, Department of Internal Medicine, The Ohio State University, 460 OSUCCC, 410 West 12th Avenue, Columbus, OH, 43210, USA
| | - Bonnie Harrington
- Division of Hematology, Department of Internal Medicine, The Ohio State University, 460 OSUCCC, 410 West 12th Avenue, Columbus, OH, 43210, USA
- Department of Veterinary Biosciences, The Ohio State University, Columbus, OH, USA
| | - Jordan Baumhardt
- Department of Pharmacology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Hatice Gulcin Ozer
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - Amy Lehman
- Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - Brian Giacopelli
- Division of Hematology, Department of Internal Medicine, The Ohio State University, 460 OSUCCC, 410 West 12th Avenue, Columbus, OH, 43210, USA
| | - Larry Beaver
- Division of Hematology, Department of Internal Medicine, The Ohio State University, 460 OSUCCC, 410 West 12th Avenue, Columbus, OH, 43210, USA
| | - Katie Williams
- Division of Hematology, Department of Internal Medicine, The Ohio State University, 460 OSUCCC, 410 West 12th Avenue, Columbus, OH, 43210, USA
| | - Jordan N Skinner
- Division of Hematology, Department of Internal Medicine, The Ohio State University, 460 OSUCCC, 410 West 12th Avenue, Columbus, OH, 43210, USA
| | - Casey B Cempre
- Division of Hematology, Department of Internal Medicine, The Ohio State University, 460 OSUCCC, 410 West 12th Avenue, Columbus, OH, 43210, USA
| | - Qingxiang Sun
- Department of Pathology and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | | | - Benjamin R Stromberg
- Department of Radiation Oncology, Arthur G James Comprehensive Cancer Center and Richard L. Solove Research Institute, The Ohio State University, Columbus, OH, USA
| | - Matthew K Summers
- Department of Radiation Oncology, Arthur G James Comprehensive Cancer Center and Richard L. Solove Research Institute, The Ohio State University, Columbus, OH, USA
| | - Lynne V Abruzzo
- Department of Pathology, The Ohio State University, Columbus, OH, USA
| | - Laura Rassenti
- Department of Medicine, Division of Hematology, University of California-San Diego School of Medicine, San Diego, CA, USA
| | - Thomas J Kipps
- Department of Medicine, Division of Hematology, University of California-San Diego School of Medicine, San Diego, CA, USA
| | - Sameer Parikh
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Neil E Kay
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Kerry A Rogers
- Division of Hematology, Department of Internal Medicine, The Ohio State University, 460 OSUCCC, 410 West 12th Avenue, Columbus, OH, 43210, USA
| | - Jennifer A Woyach
- Division of Hematology, Department of Internal Medicine, The Ohio State University, 460 OSUCCC, 410 West 12th Avenue, Columbus, OH, 43210, USA
| | - Vincenzo Coppola
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH, USA
- Genetically Engineered Mouse Modeling Core, The Ohio State University and Arthur G. James Comprehensive Cancer Center, Columbus, OH, USA
| | - Yuh Min Chook
- Department of Pharmacology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Christopher Oakes
- Division of Hematology, Department of Internal Medicine, The Ohio State University, 460 OSUCCC, 410 West 12th Avenue, Columbus, OH, 43210, USA
| | - John C Byrd
- Division of Hematology, Department of Internal Medicine, The Ohio State University, 460 OSUCCC, 410 West 12th Avenue, Columbus, OH, 43210, USA
- Division of Medicinal Chemistry, College of Pharmacy, The Ohio State University, Columbus, OH, USA
| | - Rosa Lapalombella
- Division of Hematology, Department of Internal Medicine, The Ohio State University, 460 OSUCCC, 410 West 12th Avenue, Columbus, OH, 43210, USA.
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22
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Hampel PJ, Parikh SA, Call TG. Incorporating molecular biomarkers into the continuum of care in chronic lymphocytic leukemia. Leuk Lymphoma 2021; 62:1289-1301. [PMID: 33410372 DOI: 10.1080/10428194.2020.1869966] [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: 10/22/2022]
Abstract
Chronic lymphocytic leukemia (CLL) is a mature B-cell malignancy characterized by marked heterogeneity. Discoveries in disease biology over the past two decades have helped explain clinical variability and heralded the arrival of the targeted therapy era. In this article, we review improvements in risk stratification which have coincided with this progress, including individual biomarkers and their incorporation into prognostic models. Amidst an ever-expanding list of biomarkers, we seek to bring focus to the essential tests to improve patient care and counseling at particular times in the disease course, beginning with prognosis at diagnosis. The majority of patients do not require treatment at the time of diagnosis, making time-to-first-treatment a key initial prognostic concern. Prognostic and predictive biomarkers are then considered at subsequent major junctures, including at the time of treatment initiation, while on therapy, and at the time of relapse on novel agents.
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Affiliation(s)
- Paul J Hampel
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Sameer A Parikh
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Timothy G Call
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
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23
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Monti P, Lionetti M, De Luca G, Menichini P, Recchia AG, Matis S, Colombo M, Fabris S, Speciale A, Barbieri M, Gentile M, Zupo S, Dono M, Ibatici A, Neri A, Ferrarini M, Fais F, Fronza G, Cutrona G, Morabito F. Time to first treatment and P53 dysfunction in chronic lymphocytic leukaemia: results of the O-CLL1 study in early stage patients. Sci Rep 2020; 10:18427. [PMID: 33116240 PMCID: PMC7595214 DOI: 10.1038/s41598-020-75364-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 10/09/2020] [Indexed: 01/05/2023] Open
Abstract
Chronic lymphocytic leukaemia (CLL) is characterised by a heterogeneous clinical course. Such heterogeneity is associated with a number of markers, including TP53 gene inactivation. While TP53 gene alterations determine resistance to chemotherapy, it is not clear whether they can influence early disease progression. To clarify this issue, TP53 mutations and deletions of the corresponding locus [del(17p)] were evaluated in 469 cases from the O-CLL1 observational study that recruited a cohort of clinically and molecularly characterised Binet stage A patients. Twenty-four cases harboured somatic TP53 mutations [accompanied by del(17p) in 9 cases], 2 patients had del(17p) only, and 5 patients had TP53 germ-line variants. While del(17p) with or without TP53 mutations was capable of significantly predicting the time to first treatment, a reliable measure of disease progression, TP53 mutations were not. This was true for cases with high or low variant allele frequency. The lack of predictive ability was independent of the functional features of the mutant P53 protein in terms of transactivation and dominant negative potential. TP53 mutations alone were more frequent in patients with mutated IGHV genes, whereas del(17p) was associated with the presence of adverse prognostic factors, including CD38 positivity, unmutated-IGHV gene status, and NOTCH1 mutations.
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Affiliation(s)
- Paola Monti
- Mutagenesis and Cancer Prevention Unit, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - Marta Lionetti
- Department of Oncology and Hemato-Oncology, University of Milan, 20122, Milan, Italy
| | - Giuseppa De Luca
- Molecular Diagnostic Unit, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - Paola Menichini
- Mutagenesis and Cancer Prevention Unit, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - Anna Grazia Recchia
- Biotechnology Research Unit, Aprigliano, A.O./ASP of Cosenza, 87100, Cosenza, Italy
| | - Serena Matis
- Molecular Pathology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Monica Colombo
- Molecular Pathology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Sonia Fabris
- Hematology Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, 20122, Milan, Italy
| | - Andrea Speciale
- Mutagenesis and Cancer Prevention Unit, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - Marzia Barbieri
- Hematology Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, 20122, Milan, Italy
| | - Massimo Gentile
- Hematology Unit, Department of Onco-Hematology, A.O. of Cosenza, 87100, Cosenza, Italy
| | - Simonetta Zupo
- Molecular Diagnostic Unit, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - Mariella Dono
- Molecular Diagnostic Unit, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - Adalberto Ibatici
- Hematology Unit and Bone Marrow Transplantation, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Antonino Neri
- Department of Oncology and Hemato-Oncology, University of Milan, 20122, Milan, Italy.,Hematology Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, 20122, Milan, Italy
| | - Manlio Ferrarini
- Department of Experimental Medicine, University of Genoa, 16132, Genoa, Italy
| | - Franco Fais
- Molecular Pathology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Experimental Medicine, University of Genoa, 16132, Genoa, Italy
| | - Gilberto Fronza
- Mutagenesis and Cancer Prevention Unit, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - Giovanna Cutrona
- Molecular Pathology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Fortunato Morabito
- Biotechnology Research Unit, Aprigliano, A.O./ASP of Cosenza, 87100, Cosenza, Italy. .,Department of Hematology and Bone Marrow Transplant Unit, Augusta Victoria Hospital, Jerusalem, Israel.
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24
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Yun X, Zhang Y, Wang X. Recent progress of prognostic biomarkers and risk scoring systems in chronic lymphocytic leukemia. Biomark Res 2020; 8:40. [PMID: 32939265 PMCID: PMC7487566 DOI: 10.1186/s40364-020-00222-3] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 08/26/2020] [Indexed: 12/13/2022] Open
Abstract
Chronic lymphocytic leukemia (CLL) is the most prevalent adult leukemia with high heterogeneity in the western world. Thus, investigators identified a number of prognostic biomarkers and scoring systems to guide treatment decisions and validated them in the context of immunochemotherapy. A better understanding of prognostic biomarkers, including serum markers, flow cytometry outcomes, IGHV mutation status, microRNAs, chromosome aberrations and gene mutations, have contributed to prognosis in CLL. Del17p/ TP53 mutation, NOTCH1 mutation, CD49d, IGHV mutation status, complex karyotypes and microRNAs were reported to be of predictive values to guide clinical decisions. Based on the biomarkers above, classic prognostic models, such as the Rai and Binet staging systems, MDACC nomogram, GCLLSG model and CLL-IPI, were developed to improve risk stratification and tailor treatment intensity. Considering the presence of novel agents, many investigators validated the conventional prognostic biomarkers in the setting of novel agents and only TP53 mutation status/del 17p and CD49d expression were reported to be of prognostic value. Whether other prognostic indicators and models can be used in the context of novel agents, further studies are required.
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Affiliation(s)
- Xiaoya Yun
- Department of Hematology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250021 Shandong China
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No.324, Jingwu Road, Jinan, 250021 Shandong China
- School of Medicine, Shandong University, Jinan, 250012 Shandong China
- Shandong Provincial Engineering Research Center of Lymphoma, Jinan, 250021 Shandong China
- National clinical research center for hematologic diseases, Jinan, 250021 Shandong China
| | - Ya Zhang
- Department of Hematology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250021 Shandong China
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No.324, Jingwu Road, Jinan, 250021 Shandong China
- School of Medicine, Shandong University, Jinan, 250012 Shandong China
- Shandong Provincial Engineering Research Center of Lymphoma, Jinan, 250021 Shandong China
- National clinical research center for hematologic diseases, Jinan, 250021 Shandong China
| | - Xin Wang
- Department of Hematology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250021 Shandong China
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No.324, Jingwu Road, Jinan, 250021 Shandong China
- School of Medicine, Shandong University, Jinan, 250012 Shandong China
- Shandong Provincial Engineering Research Center of Lymphoma, Jinan, 250021 Shandong China
- National clinical research center for hematologic diseases, Jinan, 250021 Shandong China
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25
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Moia R, Patriarca A, Mahmoud AM, Ferri V, Favini C, Rasi S, Deambrogi C, Gaidano G. Assessing prognosis of chronic lymphocytic leukemia using biomarkers and genetics. Expert Opin Orphan Drugs 2020. [DOI: 10.1080/21678707.2020.1804860] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Riccardo Moia
- Division of Hematology, Department of Translational Medicine, Università del Piemonte Orientale and Azienda Ospedaliero-Universitaria Maggiore della Carità, Novara, Italy
| | - Andrea Patriarca
- Division of Hematology, Department of Translational Medicine, Università del Piemonte Orientale and Azienda Ospedaliero-Universitaria Maggiore della Carità, Novara, Italy
| | - Abdurraouf Mokhtar Mahmoud
- Division of Hematology, Department of Translational Medicine, Università del Piemonte Orientale and Azienda Ospedaliero-Universitaria Maggiore della Carità, Novara, Italy
| | - Valentina Ferri
- Division of Hematology, Department of Translational Medicine, Università del Piemonte Orientale and Azienda Ospedaliero-Universitaria Maggiore della Carità, Novara, Italy
| | - Chiara Favini
- Division of Hematology, Department of Translational Medicine, Università del Piemonte Orientale and Azienda Ospedaliero-Universitaria Maggiore della Carità, Novara, Italy
| | - Silvia Rasi
- Division of Hematology, Department of Translational Medicine, Università del Piemonte Orientale and Azienda Ospedaliero-Universitaria Maggiore della Carità, Novara, Italy
| | - Clara Deambrogi
- Division of Hematology, Department of Translational Medicine, Università del Piemonte Orientale and Azienda Ospedaliero-Universitaria Maggiore della Carità, Novara, Italy
| | - Gianluca Gaidano
- Division of Hematology, Department of Translational Medicine, Università del Piemonte Orientale and Azienda Ospedaliero-Universitaria Maggiore della Carità, Novara, Italy
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Parikh SA, Gale RP, Kay NE. Chronic lymphocytic leukemia in 2020: a surfeit of riches? Leukemia 2020; 34:1979-1983. [PMID: 32393844 PMCID: PMC8130839 DOI: 10.1038/s41375-020-0852-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 04/23/2020] [Accepted: 04/27/2020] [Indexed: 11/09/2022]
Affiliation(s)
- Sameer A Parikh
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA.
| | - Robert Peter Gale
- Department of Immunology and Inflammation, Centre for Haematology, Imperial College London, London, UK
| | - Neil E Kay
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
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