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Sofou E, Zaragoza-Infante L, Pechlivanis N, Karakatsoulis G, Notopoulou S, Stavroyianni N, Psomopoulos F, Georgiou E, de Septenville AL, Davi F, Agathangelidis A, Chatzidimitriou A, Stamatopoulos K. Evidence of somatic hypermutation in the antigen binding sites of patients with CLL harboring IGHV genes with 100% germline identity. Front Oncol 2022; 12:1079772. [PMID: 36591518 PMCID: PMC9795043 DOI: 10.3389/fonc.2022.1079772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 11/28/2022] [Indexed: 12/15/2022] Open
Abstract
Classification of patients with chronic lymphocytic leukemia (CLL) based on the somatic hypermutation (SHM) status of the clonotypic immunoglobulin heavy variable (IGHV) gene has established predictive and prognostic relevance. The SHM status is assessed based on the number of mutations within the IG heavy variable domain sequence, albeit only over the rearranged IGHV gene excluding the variable heavy complementarity determining region 3 (VH CDR3). This may lead to an underestimation of the actual impact of SHM, in fact overlooking the most critical region for antigen-antibody interactions, i.e. the VH CDR3. Here we investigated whether SHM may be present within the VH CDR3 of cases bearing 'truly unmutated' IGHV genes (i.e. 100% germline identity across VH FR1-VH FR3) employing Next Generation Sequencing. We studied 16 patients bearing a 'truly unmutated' CLL clone assigned to stereotyped subsets #1 (n=12) and #6 (n=4). We report the existence of SHM within the germline-encoded 3'IGHV, IGHD, 5'IGHJ regions of the VH CDR3 in both the main IGHV-IGHD-IGHJ gene clonotype and its variants. Recurrent somatic mutations were identified between different patients of the same subset, supporting the notion that they represent true mutational events rather than technical artefacts; moreover, they were located adjacent to/within AID hotspots, pointing to SHM as the underlying mechanism. In conclusion, we provide immunogenetic evidence for intra-VH CDR3 variations, attributed to SHM, in CLL patients carrying 'truly unmutated' IGHV genes. Although the clinical implications of this observation remain to be defined, our findings offer a new perspective into the immunobiology of CLL, alluding to the operation of VH CDR3-restricted SHM in U-CLL.
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Affiliation(s)
- Electra Sofou
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece,Laboratory of Biological Chemistry, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Laura Zaragoza-Infante
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece
| | - Nikolaos Pechlivanis
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece
| | - Georgios Karakatsoulis
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece
| | - Sofia Notopoulou
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece
| | - Niki Stavroyianni
- Hematology Department and HCT Unit, G. Papanicolaou Hospital, Thessaloniki, Greece
| | - Fotis Psomopoulos
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece
| | - Elisavet Georgiou
- Laboratory of Biological Chemistry, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Frederic Davi
- Department of Hematology, APHP, Hôpital Pitié-Salpêtrière and Sorbonne University, Paris, France
| | - Andreas Agathangelidis
- Department of Biology, School of Science, National and Kapodistrian University of Athens, Athens, Greece
| | - Anastasia Chatzidimitriou
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece,Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
| | - Kostas Stamatopoulos
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece,Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden,*Correspondence: Kostas Stamatopoulos,
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2
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Agius R, Parviz M, Niemann CU. Artificial intelligence models in chronic lymphocytic leukemia - recommendations toward state-of-the-art. Leuk Lymphoma 2021; 63:265-278. [PMID: 34612160 DOI: 10.1080/10428194.2021.1973672] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Artificial intelligence (AI), machine learning and predictive modeling are becoming enabling technologies in many day-to-day applications. Translation of these advances to the patient's bedside for AI assisted interventions is not yet the norm. With specific emphasis on CLL, here, we review the progress of prognostic models in hematology and highlight sources of stagnation that may be limiting significant improvements in prognostication in the near future. We discuss issues related to performance, trust, modeling simplicity, and prognostic marker robustness and find that the major limiting factor in progressing toward state-of-the-art prognostication within the hematological community, is not the lack of able AI algorithms but rather, the lack of their adoption. Current models in CLL still deal with the 'average' patient while the use of patient-centric approaches remains absent. Using lessons from research areas where machine learning has become an enabling technology, we derive recommendations and propose methods for achieving state-of-the-art predictions in modeling health data, that can be readily adopted by the CLL modeling community.
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Affiliation(s)
- Rudi Agius
- Department of Hematology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Mehdi Parviz
- Department of Hematology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Carsten Utoft Niemann
- Department of Hematology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
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3
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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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Kreuzberger N, Damen JA, Trivella M, Estcourt LJ, Aldin A, Umlauff L, Vazquez-Montes MD, Wolff R, Moons KG, Monsef I, Foroutan F, Kreuzer KA, Skoetz N. Prognostic models for newly-diagnosed chronic lymphocytic leukaemia in adults: a systematic review and meta-analysis. Cochrane Database Syst Rev 2020; 7:CD012022. [PMID: 32735048 PMCID: PMC8078230 DOI: 10.1002/14651858.cd012022.pub2] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
BACKGROUND Chronic lymphocytic leukaemia (CLL) is the most common cancer of the lymphatic system in Western countries. Several clinical and biological factors for CLL have been identified. However, it remains unclear which of the available prognostic models combining those factors can be used in clinical practice to predict long-term outcome in people newly-diagnosed with CLL. OBJECTIVES To identify, describe and appraise all prognostic models developed to predict overall survival (OS), progression-free survival (PFS) or treatment-free survival (TFS) in newly-diagnosed (previously untreated) adults with CLL, and meta-analyse their predictive performances. SEARCH METHODS We searched MEDLINE (from January 1950 to June 2019 via Ovid), Embase (from 1974 to June 2019) and registries of ongoing trials (to 5 March 2020) for development and validation studies of prognostic models for untreated adults with CLL. In addition, we screened the reference lists and citation indices of included studies. SELECTION CRITERIA We included all prognostic models developed for CLL which predict OS, PFS, or TFS, provided they combined prognostic factors known before treatment initiation, and any studies that tested the performance of these models in individuals other than the ones included in model development (i.e. 'external model validation studies'). We included studies of adults with confirmed B-cell CLL who had not received treatment prior to the start of the study. We did not restrict the search based on study design. DATA COLLECTION AND ANALYSIS We developed a data extraction form to collect information based on the Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS). Independent pairs of review authors screened references, extracted data and assessed risk of bias according to the Prediction model Risk Of Bias ASsessment Tool (PROBAST). For models that were externally validated at least three times, we aimed to perform a quantitative meta-analysis of their predictive performance, notably their calibration (proportion of people predicted to experience the outcome who do so) and discrimination (ability to differentiate between people with and without the event) using a random-effects model. When a model categorised individuals into risk categories, we pooled outcome frequencies per risk group (low, intermediate, high and very high). We did not apply GRADE as guidance is not yet available for reviews of prognostic models. MAIN RESULTS From 52 eligible studies, we identified 12 externally validated models: six were developed for OS, one for PFS and five for TFS. In general, reporting of the studies was poor, especially predictive performance measures for calibration and discrimination; but also basic information, such as eligibility criteria and the recruitment period of participants was often missing. We rated almost all studies at high or unclear risk of bias according to PROBAST. Overall, the applicability of the models and their validation studies was low or unclear; the most common reasons were inappropriate handling of missing data and serious reporting deficiencies concerning eligibility criteria, recruitment period, observation time and prediction performance measures. We report the results for three models predicting OS, which had available data from more than three external validation studies: CLL International Prognostic Index (CLL-IPI) This score includes five prognostic factors: age, clinical stage, IgHV mutational status, B2-microglobulin and TP53 status. Calibration: for the low-, intermediate- and high-risk groups, the pooled five-year survival per risk group from validation studies corresponded to the frequencies observed in the model development study. In the very high-risk group, predicted survival from CLL-IPI was lower than observed from external validation studies. Discrimination: the pooled c-statistic of seven external validation studies (3307 participants, 917 events) was 0.72 (95% confidence interval (CI) 0.67 to 0.77). The 95% prediction interval (PI) of this model for the c-statistic, which describes the expected interval for the model's discriminative ability in a new external validation study, ranged from 0.59 to 0.83. Barcelona-Brno score Aimed at simplifying the CLL-IPI, this score includes three prognostic factors: IgHV mutational status, del(17p) and del(11q). Calibration: for the low- and intermediate-risk group, the pooled survival per risk group corresponded to the frequencies observed in the model development study, although the score seems to overestimate survival for the high-risk group. Discrimination: the pooled c-statistic of four external validation studies (1755 participants, 416 events) was 0.64 (95% CI 0.60 to 0.67); 95% PI 0.59 to 0.68. MDACC 2007 index score The authors presented two versions of this model including six prognostic factors to predict OS: age, B2-microglobulin, absolute lymphocyte count, gender, clinical stage and number of nodal groups. Only one validation study was available for the more comprehensive version of the model, a formula with a nomogram, while seven studies (5127 participants, 994 events) validated the simplified version of the model, the index score. Calibration: for the low- and intermediate-risk groups, the pooled survival per risk group corresponded to the frequencies observed in the model development study, although the score seems to overestimate survival for the high-risk group. Discrimination: the pooled c-statistic of the seven external validation studies for the index score was 0.65 (95% CI 0.60 to 0.70); 95% PI 0.51 to 0.77. AUTHORS' CONCLUSIONS Despite the large number of published studies of prognostic models for OS, PFS or TFS for newly-diagnosed, untreated adults with CLL, only a minority of these (N = 12) have been externally validated for their respective primary outcome. Three models have undergone sufficient external validation to enable meta-analysis of the model's ability to predict survival outcomes. Lack of reporting prevented us from summarising calibration as recommended. Of the three models, the CLL-IPI shows the best discrimination, despite overestimation. However, performance of the models may change for individuals with CLL who receive improved treatment options, as the models included in this review were tested mostly on retrospective cohorts receiving a traditional treatment regimen. In conclusion, this review shows a clear need to improve the conducting and reporting of both prognostic model development and external validation studies. For prognostic models to be used as tools in clinical practice, the development of the models (and their subsequent validation studies) should adapt to include the latest therapy options to accurately predict performance. Adaptations should be timely.
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Key Words
- adult
- female
- humans
- male
- age factors
- bias
- biomarkers, tumor
- calibration
- confidence intervals
- discriminant analysis
- disease-free survival
- genes, p53
- genes, p53/genetics
- immunoglobulin heavy chains
- immunoglobulin heavy chains/genetics
- immunoglobulin variable region
- immunoglobulin variable region/genetics
- leukemia, lymphocytic, chronic, b-cell
- leukemia, lymphocytic, chronic, b-cell/mortality
- leukemia, lymphocytic, chronic, b-cell/pathology
- models, theoretical
- neoplasm staging
- prognosis
- progression-free survival
- receptors, antigen, b-cell
- receptors, antigen, b-cell/genetics
- reproducibility of results
- tumor suppressor protein p53
- tumor suppressor protein p53/genetics
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MESH Headings
- Adult
- Age Factors
- Bias
- Biomarkers, Tumor
- Calibration
- Confidence Intervals
- Discriminant Analysis
- Disease-Free Survival
- Female
- Genes, p53/genetics
- Humans
- Immunoglobulin Heavy Chains/genetics
- Immunoglobulin Variable Region/genetics
- Leukemia, Lymphocytic, Chronic, B-Cell/mortality
- Leukemia, Lymphocytic, Chronic, B-Cell/pathology
- Male
- Models, Theoretical
- Neoplasm Staging
- Prognosis
- Progression-Free Survival
- Receptors, Antigen, B-Cell/genetics
- Reproducibility of Results
- Tumor Suppressor Protein p53/genetics
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Affiliation(s)
- Nina Kreuzberger
- Cochrane Haematology, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Johanna Aag Damen
- Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | | | - Lise J Estcourt
- Haematology/Transfusion Medicine, NHS Blood and Transplant, Oxford, UK
| | - Angela Aldin
- Cochrane Haematology, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Lisa Umlauff
- Cochrane Haematology, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | | | | | - Karel Gm Moons
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Ina Monsef
- Cochrane Haematology, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Farid Foroutan
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
| | - Karl-Anton Kreuzer
- Center of Integrated Oncology Cologne-Bonn, Department I of Internal Medicine, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Nicole Skoetz
- Cochrane Cancer, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
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5
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Cohen JA, Rossi FM, Zucchetto A, Bomben R, Terzi-di-Bergamo L, Rabe KG, Degan M, Steffan A, Polesel J, Santinelli E, Innocenti I, Cutrona G, D'Arena G, Pozzato G, Zaja F, Chiarenza A, Rossi D, Di Raimondo F, Laurenti L, Gentile M, Morabito F, Neri A, Ferrarini M, Fegan CD, Pepper CJ, Del Poeta G, Parikh SA, Kay NE, Gattei V. A laboratory-based scoring system predicts early treatment in Rai 0 chronic lymphocytic leukemia. Haematologica 2020; 105:1613-1620. [PMID: 31582547 PMCID: PMC7271568 DOI: 10.3324/haematol.2019.228171] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Accepted: 10/02/2019] [Indexed: 11/09/2022] Open
Abstract
We present a laboratory-based prognostic calculator (designated CRO score) to risk stratify treatment-free survival in early stage (Rai 0) chronic lymphocytic leukemia (CLL) developed using a training-validation model in a series of 1,879 cases from Italy, the United Kingdom and the United States. By means of regression analysis, we identified five prognostic variables with weighting as follows: deletion of the short arm of chromosome 17 and unmutated immunoglobulin heavy chain gene status, 2 points; deletion of the long arm of chromosome 11, trisomy of chromosome 12, and white blood cell count >32.0x103/microliter, 1 point. Low-, intermediate- and high-risk categories were established by recursive partitioning in a training cohort of 478 cases, and then validated in four independent cohorts of 144 / 395 / 540 / 322 cases, as well as in the composite validation cohort. Concordance indices were 0.75 in the training cohort and ranged from 0.63 to 0.74 in the four validation cohorts (0.69 in the composite validation cohort). These findings advocate potential application of our novel prognostic calculator to better stratify early-stage CLL, and aid case selection in risk-adapted treatment for early disease. Furthermore, they support immunocytogenetic analysis in Rai 0 CLL being performed at the time of diagnosis to aid prognosis and treatment, particularly in today's chemofree era.
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Affiliation(s)
- Jared A Cohen
- Clinical and Experimental Onco-Haematology Unit, Centro di Riferimento Oncologico, I.R.C.C.S., Aviano (PN), Italy
| | - Francesca Maria Rossi
- Clinical and Experimental Onco-Haematology Unit, Centro di Riferimento Oncologico, I.R.C.C.S., Aviano (PN), Italy
| | - Antonella Zucchetto
- Clinical and Experimental Onco-Haematology Unit, Centro di Riferimento Oncologico, I.R.C.C.S., Aviano (PN), Italy
| | - Riccardo Bomben
- Clinical and Experimental Onco-Haematology Unit, Centro di Riferimento Oncologico, I.R.C.C.S., Aviano (PN), Italy
| | | | - Kari G Rabe
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Massimo Degan
- Clinical and Experimental Onco-Haematology Unit, Centro di Riferimento Oncologico, I.R.C.C.S., Aviano (PN), Italy
| | - Agostino Steffan
- Immunopathology and Cancer Biomarkers, Centro di RiferimentoOncologico, I.R.C.C.S., Aviano (PN), Italy
| | - Jerry Polesel
- Unit of Cancer Epidemiology, Centro di Riferimento Oncologico, I.R.C.C.S., Aviano (PN), Italy
| | - Enrico Santinelli
- Division of Haematology, S. Eugenio Hospital and University of Tor Vergata, Rome, Italy
| | - Idanna Innocenti
- Hematology Institute, Catholic University of the Sacred Heart, Fondazione Policlinico A. Gemelli, Rome, Italy
| | - Giovanna Cutrona
- UO Molecular Pathology, Ospedale Policlinico San Martino IRCCS, Genova, Italy
| | - Giovanni D'Arena
- Onco-Haematology Department, Centro di Riferimento Oncologico della Basilicata, I.R.C.C.S., Rionero in Vulture, Italy
| | - Gabriele Pozzato
- Department of Internal Medicine and Haematology, Maggiore General Hospital, University of Trieste, Trieste, Italy
| | - Francesco Zaja
- Department of Internal Medicine and Haematology, Maggiore General Hospital, University of Trieste, Trieste, Italy
| | | | - Davide Rossi
- Hematology, Oncology Institute of Southern Switzerland, Bellinzona, Switzerland
- Universita' della Svizzera Italiana, Lugano, Switzerland
| | | | - Luca Laurenti
- Hematology Institute, Catholic University of the Sacred Heart, Fondazione Policlinico A. Gemelli, Rome, Italy
| | - Massimo Gentile
- Hematology Unit, AO, Cosenza, Italy
- Biotechnology Research Unit, Aprigliano, Cosenza, Italy
| | - Fortunato Morabito
- Biotechnology Research Unit, Aprigliano, Cosenza, Italy
- Hematogy Department and Bone Marrow Transplant Unit, Cancer Care Center, Augusta Victoria Hospital, East Jerusalem, Israel
| | - Antonino Neri
- Hematology Unit, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico and University of Milan, Milan, Italy
| | - Manlio Ferrarini
- Department of Experimental Medicine, University of Genova, Genova, Italy
| | - Christopher D Fegan
- Division of Cancer and Genetics, Cardiff University, School of Medicine, Heath Park, Cardiff, UK
| | - Christopher J Pepper
- Division of Cancer and Genetics, Cardiff University, School of Medicine, Heath Park, Cardiff, UK
- University of Sussex, Brighton and Sussex Medical School, Brighton, UK
| | - Giovanni Del Poeta
- Division of Haematology, S. Eugenio Hospital and University of Tor Vergata, Rome, Italy
| | - Sameer A 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
| | - Valter Gattei
- Clinical and Experimental Onco-Haematology Unit, Centro di Riferimento Oncologico, I.R.C.C.S., Aviano (PN), Italy
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6
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Cohen JA, Bomben R, Pozzo F, Tissino E, Härzschel A, Hartmann TN, Zucchetto A, Gattei V. An Updated Perspective on Current Prognostic and Predictive Biomarkers in Chronic Lymphocytic Leukemia in the Context of Chemoimmunotherapy and Novel Targeted Therapy. Cancers (Basel) 2020; 12:cancers12040894. [PMID: 32272636 PMCID: PMC7226446 DOI: 10.3390/cancers12040894] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 04/02/2020] [Accepted: 04/04/2020] [Indexed: 01/04/2023] Open
Abstract
Chronic lymphocytic leukemia (CLL) is a heterogeneous disease with a variable clinical course. Novel biomarkers discovered over the past 20 years have revolutionized the way clinicians approach prognostication and treatment especially in the chemotherapy-free era. Herein, we review the best established prognostic and predictive biomarkers in the setting of chemoimmunotherapy (CIT) and novel targeted therapy. We propose that TP53 disruption (defined as either TP53 mutation or chromosome 17p deletion), unmutated immunoglobulin heavy chain variable region gene status (UM IGHV), NOTCH1 mutation, and CD49d expression are the strongest prognosticators of disease progression and overall survival in the field of novel biomarkers including recurrent gene mutations. We also highlight the predictive role of TP53 disruption, UM IGHV, and NOTCH1 mutation in the setting of CIT and TP53 disruption and CD49d expression in the setting of novel targeted therapy employing B-cell receptor (BCR) and B-cell lymphoma-2 (BCL2) inhibition. Finally, we discuss future directions in the field of biomarker development to identify those with relapsed/refractory disease at risk for progression despite treatment with novel therapies.
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Affiliation(s)
- Jared A. Cohen
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Franco Gallini 2, 33081 Aviano, Italy (R.B.); (F.P.); (E.T.); (V.G.)
| | - Riccardo Bomben
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Franco Gallini 2, 33081 Aviano, Italy (R.B.); (F.P.); (E.T.); (V.G.)
| | - Federico Pozzo
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Franco Gallini 2, 33081 Aviano, Italy (R.B.); (F.P.); (E.T.); (V.G.)
| | - Erika Tissino
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Franco Gallini 2, 33081 Aviano, Italy (R.B.); (F.P.); (E.T.); (V.G.)
| | - Andrea Härzschel
- Department of Internal Medicine I, Medical Center and Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106 Freiburg, Germany; (A.H.); (T.N.H.)
| | - Tanja Nicole Hartmann
- Department of Internal Medicine I, Medical Center and Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106 Freiburg, Germany; (A.H.); (T.N.H.)
| | - Antonella Zucchetto
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Franco Gallini 2, 33081 Aviano, Italy (R.B.); (F.P.); (E.T.); (V.G.)
- Correspondence: ; Tel.: +39-0434-659720; Fax: +39-0434-659409
| | - Valter Gattei
- Clinical and Experimental Onco-Hematology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Franco Gallini 2, 33081 Aviano, Italy (R.B.); (F.P.); (E.T.); (V.G.)
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7
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Montserrat E, Gale RP. Predicting the outcome of patients with chronic lymphocytic leukemia: Progress and uncertainty. Cancer 2019; 125:3699-3705. [PMID: 31381130 DOI: 10.1002/cncr.32353] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2019] [Revised: 04/16/2019] [Accepted: 06/03/2019] [Indexed: 12/14/2022]
Abstract
Because chronic lymphocytic leukemia is a heterogeneous disease, there are considerable efforts underway to develop increasingly accurate and precise analytics with which to estimate the probability of future events such as the need for and probability of response to therapy, progression-free survival, and survival. These analytics typically are constructed from clinical and laboratory variables. These variables often are combined into scores or staging systems, some of which are prognostic (therapy-independent), whereas others are predictive (therapy-dependent). Predictive variables differ with different therapies. Because response to therapy is a necessary condition for the improvement of survival, predictive biomarkers are extremely important. However, despite some progress to identify new predictive biomarkers, del(17p)/TP53 mutation remains the only widely accepted variable used to guide therapy. New laboratory techniques and analytical tools may contribute to improvements in the precision and accuracy of outcome indicators. However, there are inherent limitations when applying cohort-based estimates to individuals within the cohort. The accuracy and precision of prediction also are limited by measurement error and chance. Ultimately, estimating outcomes requires a careful balance between clinical experience, imperfect prediction, and uncertainty.
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Affiliation(s)
- Emili Montserrat
- Institute of Hematology and Oncology, Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain
| | - Robert Peter Gale
- Division of Experimental Medicine, Department of Medicine, Hematology Research Centre, Imperial College London, London, United Kingdom
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The prognostic role of HBV infection in chronic lymphocytic leukemia. J Cancer Res Clin Oncol 2018; 144:1309-1315. [PMID: 29761374 DOI: 10.1007/s00432-018-2663-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Accepted: 05/08/2018] [Indexed: 01/05/2023]
Abstract
PURPOSE We attempt to assess the impact of hepatis-B virus (HBV) status on the prognosis of chronic lymphocytic leukemia (CLL) using a Chinese case cohort. METHODS Five hundred and one consecutive newly diagnosed subjects with CLL were enrolled in this case cohort. HBV infection was defined as hepatitis B surface antigen (HBsAg) positive or hepatitis-B core antibody (HBcAb) positive. Univariate and stepwise multivariate Cox regression analyses were used to screen the prognostic risk factors associated with the end point of time-to-treatment (TTT) or overall survival (OS). Bootstrap re-sampling method was used to evaluate the model's internal validity. The discriminative ability of the models was evaluated using time-dependent receiver-operator characteristic (ROC) curves and corresponding areas under the curve (AUC). RESULTS One hundred and twenty-one subjects (24%) among 501 patients were HBV positive. HBV infection was an independent predictor for the prognosis of TTT (HR = 1.37; 95% CI 1.04-1.80) or OS (HR =2.85; 95% CI 1.80-4.52). The AUCs for HBV infection were 0.62 (95% CI 0.58-0.66) for TTT and 0.69 (95% CI 0.66-0.72) for OS, respectively. When we combined HBV infection with the traditional clinical and biological factors, significant improvements for model's discrimination were observed for TTT [AUC: 0.81 (95% CI: 0.77-0.85) vs. 0.78 (95% CI: 0.74-0.82), P < 0.001] and OS [AUC: 0.81 (95% CI 0.76-0.86) vs. 0.76 (95% CI 0.71-0.82), P < 0.001). Further bootstrap re-sampling method revealed good internal consistence for the final optimal models (Average AUC: 0.78 for TTT and 0.79 for OS based on 1000 bootstraps). CONCLUSIONS Our results indicated that HBV infection should be served as an important risk predictor for prognosis of CLL (TTT and OS).
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Rogalińska M, Góralski P, Błoński JZ, Robak P, Barciszewski J, Koceva-Chyła A, Piekarski H, Robak T, Kilianska ZM. Personalized therapy tests for the monitoring of chronic lymphocytic leukemia development. Oncol Lett 2017; 13:2079-2084. [PMID: 28454364 PMCID: PMC5403444 DOI: 10.3892/ol.2017.5725] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2016] [Accepted: 11/17/2016] [Indexed: 11/05/2022] Open
Abstract
There is individual variation in the course of disease development and response to therapy of patients with chronic lymphocytic leukemia (CLL). Novel treatment options for CLL include a new generation of purine analogs, antibodies and inhibitors of specific cell signaling pathways, which typically induce apoptosis or necrosis. A prospective analysis of patient blood samples revealed that a combination of four tests allowed the most appropriate and effective type of treatment to be selected prior to drug administration, and for the analysis of leukemic cell sensitivity to anticancer drug(s) during disease development. The comparative analysis of blood from the stable and progressive form of CLL in an individual patient revealed diversity in the response to anticancer agents. CLL peripheral blood mononuclear cells were incubated with cladribine + mafosfamide (CM), fludarabine + mafosfamide, CM + rituximab, rituximab alone (Rit) or kinetin riboside (RK). A combination of cell viability, differential scanning calorimetry (DSC) profiles of nuclear preparations and poly(ADP-ribose) polymerase 1 (PARP-1) protein expression analysis of the leukemic cells was performed to evaluate the anticancer effects of the tested agents during CLL development. The results of the present study indicate that such studies are effective in determining the most appropriate anticancer drug and could monitor disease progression on an individual level. In addition, the results of the current study suggest that CLL progression leads to diversification of the cellular drug response. The most efficient apoptosis inducer for the patient was purine analog RK when the disease was stable, while the CM combination was the most effective agent for the progressive form of disease.
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Affiliation(s)
| | - Paweł Góralski
- Department of Physical Chemistry, University of Lodz, Lodz 90-236, Poland
| | - Jerzy Z. Błoński
- Department of Hematology, Medical University of Lodz, Lodz 90-419, Poland
| | - Paweł Robak
- Department of Experimental Hematology, Medical University of Lodz, Lodz 90-419, Poland
| | - Jan Barciszewski
- Institute of Bioorganic Chemistry, Polish Academy of Science, Poznan 61-704, Poland
| | - Aneta Koceva-Chyła
- Department of Medical Biophysics, University of Lodz, Lodz 90-236, Poland
| | - Henryk Piekarski
- Department of Physical Chemistry, University of Lodz, Lodz 90-236, Poland
| | - Tadeusz Robak
- Department of Hematology, Medical University of Lodz, Lodz 90-419, Poland
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Identifying High-Risk Chronic Lymphocytic Leukemia: A Pathogenesis-Oriented Appraisal of Prognostic and Predictive Factors in Patients Treated with Chemotherapy with or without Immunotherapy. Mediterr J Hematol Infect Dis 2016; 8:e2016047. [PMID: 27872727 PMCID: PMC5111525 DOI: 10.4084/mjhid.2016.047] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Accepted: 09/16/2016] [Indexed: 11/21/2022] Open
Abstract
Chronic lymphocytic leukemia (CLL) displays an extremely variable clinical behaviour. Accurate prognostication and prediction of response to treatment are important in an era of effective first-line regimens and novel molecules for high risk patients. Because a plethora of prognostic biomarkers were identified, but few of them were validated by multivariable analysis in comprehensive prospective studies, we applied in this survey stringent criteria to select papers from the literature in order to identify the most reproducible prognostic/predictive markers. Each biomarker was analysed in terms of reproducibility across the different studies with respect to its impact on time to first treatment (TTFT), progression free survival (PFS), overall survival (OS) and response to treatment. We were able to identify the following biomarkers as the most reliable in guiding risk stratification in the daily clinical practice: 17p-/TP53 mutations, IGHV unmutated configuration, short telomeres and 11q-. However, the method for measuring telomere length was not validated yet and 11q- was predictive of inferior OS only in those patients who did not receive FCR-like combinations. Stage and lymphocytosis were predictive of shorter TTFT and age, high serum thymidine kinase levels and poor performance status were predictive of shorter OS. Using our criteria no parameter was found to independently predict for inferior response to treatment.
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11
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Change in IgHV Mutational Status of CLL Suggests Origin From Multiple Clones. CLINICAL LYMPHOMA MYELOMA & LEUKEMIA 2016; 17:97-99. [PMID: 28041846 DOI: 10.1016/j.clml.2016.11.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2016] [Revised: 09/17/2016] [Accepted: 11/07/2016] [Indexed: 11/21/2022]
Abstract
BACKGROUND Fluorescence in situ hybridization and immunoglobulin (Ig) heavy-chain variable-region (IgHV) mutational status are used to predict outcome in chronic lymphocytic leukemia (CLL). Although DNA aberrations change over time, IgHV sequences and mutational status are considered stable. PATIENTS AND METHODS In a retrospective review, 409 CLL patients, between 2008 and 2015, had IgHV analysis: 56 patients had multiple analyses performed. Seven patients' IgHV results changed: 2 from unmutated to mutated and 5 from mutated to unmutated IgHV sequence. RESULTS Three concurrently changed their variable heavy-chain sequence. Secondary to allelic exclusion, 2 of the new variable heavy chains produced were biologically nonplausible. CONCLUSION The existence of these new nonplausible heavy-chain variable regions suggests either the CLL cancer stem-cell maintains the ability to rearrange a previously silenced IgH allele or more likely that the cancer stem-cell produced at least 2 subclones, suggesting that the CLL cancer stem cell exists before the process of allelic exclusion occurs.
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12
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Should IGHV status and FISH testing be performed in all CLL patients at diagnosis? A systematic review and meta-analysis. Blood 2016; 127:1752-60. [DOI: 10.1182/blood-2015-10-620864] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Accepted: 01/19/2016] [Indexed: 12/25/2022] Open
Abstract
Abstract
Since the first description of the natural history of chronic lymphocytic leukemia (CLL) by David Galton in 1966, the considerable heterogeneity in the disease course has been well recognized. The Rai and Binet staging systems described ∼40 years ago have proven to be robust prognostic tools. Over the past 2 decades, several novel biological, genetic, and molecular markers have been shown to be useful adjuncts to the Rai and Binet staging systems. In this systematic review, we examined the role of immunoglobulin heavy-chain variable region gene (IGHV) mutation status and genetic abnormalities determined by interphase fluorescence in situ hybridization (FISH) in patients with newly diagnosed CLL. The cumulative evidence presented in this systematic review is sufficient to recommend that FISH and IGHV be performed as standard clinical tests for all patients with newly diagnosed CLL in those countries with the resources to do so. In addition to clinical stage, these parameters could represent the minimal standard initial prognostic evaluation for patients with CLL. This approach will allow the application of powerful, recently developed prognostic indices (all of which are dependent on IGHV and FISH results) to all patients with newly diagnosed CLL.
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13
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Bühler A, Wendtner CM, Kipps TJ, Rassenti L, Fraser GAM, Michallet AS, Hillmen P, Dürig J, Gregory SA, Kalaycio M, Aurran-Schleinitz T, Trentin L, Gribben JG, Chanan-Khan A, Purse B, Zhang J, De Bedout S, Mei J, Hallek M, Stilgenbauer S. Lenalidomide treatment and prognostic markers in relapsed or refractory chronic lymphocytic leukemia: data from the prospective, multicenter phase-II CLL-009 trial. Blood Cancer J 2016; 6:e404. [PMID: 26967821 PMCID: PMC4817104 DOI: 10.1038/bcj.2016.9] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2016] [Accepted: 02/02/2016] [Indexed: 11/09/2022] Open
Abstract
Efficacy of lenalidomide was investigated in 103 patients with relapsed/refractory chronic lymphocytic leukemia (CLL) treated on the prospective, multicenter randomized phase-II CLL-009 trial. Interphase cytogenetic and mutational analyses identified TP53 mutations, unmutated IGHV, or del(17p) in 36/96 (37.5%), 68/88 (77.3%) or 22/92 (23.9%) patients. The overall response rate (ORR) was 40.4% (42/104). ORRs were similar irrespective of TP53 mutation (36.1% (13/36) vs 43.3% (26/60) for patients with vs without mutation) or IGHV mutation status (45.0% (9/20) vs 39.1% (27/68)); however, patients with del(17p) had lower ORRs than those without del(17p) (21.7% (5/22) vs 47.1% (33/70); P=0.049). No significant differences in progression-free survival and overall survival (OS) were observed when comparing subgroups defined by the presence or absence of high-risk genetic characteristics. In multivariate analyses, only multiple prior therapies (⩾3 lines) significantly impacted outcomes (median OS: 21.2 months vs not reached; P=0.019). This analysis indicates that lenalidomide is active in patients with relapsed/refractory CLL with unfavorable genetic profiles, including TP53 inactivation or unmutated IGHV. (ClinicalTrials.gov identifier: NCT00963105).
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Affiliation(s)
- A Bühler
- Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - C-M Wendtner
- Klinikum Schwabing, Academic Teaching Hospital of University of Munich, Munich, Germany.,Department I of Internal Medicine, University of Cologne, Cologne, Germany
| | - T J Kipps
- University of California San Diego Moores Cancer Center, La Jolla, CA, USA
| | - L Rassenti
- University of California San Diego Moores Cancer Center, La Jolla, CA, USA
| | - G A M Fraser
- McMaster University, Juravinski Cancer Centre, Hamilton, ON, Canada
| | - A-S Michallet
- Hospices civils de Lyon, Centre Hospitalier Lyon Sud, Lyon, France
| | - P Hillmen
- St James's Institute of Oncology, Leeds, UK
| | - J Dürig
- University Hospital Essen, Essen, Germany
| | - S A Gregory
- Rush University Medical Center, Chicago, IL, USA
| | | | | | - L Trentin
- Padua University School of Medicine, Padua, Italy
| | - J G Gribben
- Barts Cancer Institute, Queen Mary, University of London, London, UK
| | | | - B Purse
- Celgene Corporation, Summit NJ, USA
| | - J Zhang
- Celgene Corporation, Summit NJ, USA
| | | | - J Mei
- Celgene Corporation, Summit NJ, USA
| | - M Hallek
- Department I of Internal Medicine, University of Cologne, Cologne, Germany.,Cologne Cluster of Excellence in Cellular Stress Responses in Aging-associated Diseases (CECAD), Cologne, Germany
| | - S Stilgenbauer
- Department of Internal Medicine III, Ulm University, Ulm, Germany
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Balducci L, Dolan D. Chronic Lymphocytic Leukemia in the Elderly: Epidemiology and Proposed Patient-Related Approach. Cancer Control 2015; 22:3-6. [DOI: 10.1177/107327481502204s02] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Affiliation(s)
- Lodovico Balducci
- Senior Adult Oncology Program, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Dawn Dolan
- Pharmacy Service, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
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15
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Visentin A, Facco M, Frezzato F, Castelli M, Trimarco V, Martini V, Gattazzo C, Severin F, Chiodin G, Martines A, Bonaldi L, Gianesello I, Pagnin E, Boscaro E, Piazza F, Zambello R, Semenzato G, Trentin L. Integrated CLL Scoring System, a New and Simple Index to Predict Time to Treatment and Overall Survival in Patients With Chronic Lymphocytic Leukemia. CLINICAL LYMPHOMA MYELOMA & LEUKEMIA 2015; 15:612-20.e1-5. [PMID: 26233718 DOI: 10.1016/j.clml.2015.06.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2015] [Revised: 06/09/2015] [Accepted: 06/12/2015] [Indexed: 10/23/2022]
Abstract
INTRODUCTION Several prognostic factors have been identified to predict the outcome of patients with chronic lymphocytic leukemia (CLL), but only a few studies analyzed more markers together. PATIENTS AND METHODS Taking advantage of a population of 608 patients, we identified the strongest prognostic markers of survival and, subsequently, in a cohort of 212 patients we integrated data of cytogenetic lesions, IGHV mutational status, and CD38 expression in a new and easy scoring system we called the integrated CLL scoring system (ICSS). ICSS defines 3 groups of risk: (1) low risk (patients with 13q(-) or normal fluorescence in-situ hybridization analysis results, mutated IGHV, and CD38) (2) high risk (all 11q(-) or 17p(-) patients and/or all unmutated IGHV and CD38(+) patients); and (3) intermediate risk (all remaining patients). RESULTS Using only these 3 already available prognostic factors, we were able to properly redefine patients and better predict the clinical course of the disease. CONCLUSION ICSS could become a useful tool for CLL patients' management.
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Affiliation(s)
- Andrea Visentin
- Department of Medicine, Hematology and Clinical Immunology Branch, Padua University School of Medicine, Padua, Italy; Venetian Institute of Molecular Medicine, Centro di Eccellenza per la Ricerca Biomedica Avanzata, Avanzata, Italy
| | - Monica Facco
- Department of Medicine, Hematology and Clinical Immunology Branch, Padua University School of Medicine, Padua, Italy; Venetian Institute of Molecular Medicine, Centro di Eccellenza per la Ricerca Biomedica Avanzata, Avanzata, Italy
| | - Federica Frezzato
- Department of Medicine, Hematology and Clinical Immunology Branch, Padua University School of Medicine, Padua, Italy; Venetian Institute of Molecular Medicine, Centro di Eccellenza per la Ricerca Biomedica Avanzata, Avanzata, Italy
| | - Monica Castelli
- Department of Medicine, Hematology and Clinical Immunology Branch, Padua University School of Medicine, Padua, Italy; Venetian Institute of Molecular Medicine, Centro di Eccellenza per la Ricerca Biomedica Avanzata, Avanzata, Italy
| | - Valentina Trimarco
- Department of Medicine, Hematology and Clinical Immunology Branch, Padua University School of Medicine, Padua, Italy; Venetian Institute of Molecular Medicine, Centro di Eccellenza per la Ricerca Biomedica Avanzata, Avanzata, Italy
| | - Veronica Martini
- Department of Medicine, Hematology and Clinical Immunology Branch, Padua University School of Medicine, Padua, Italy; Venetian Institute of Molecular Medicine, Centro di Eccellenza per la Ricerca Biomedica Avanzata, Avanzata, Italy
| | - Cristina Gattazzo
- Department of Medicine, Hematology and Clinical Immunology Branch, Padua University School of Medicine, Padua, Italy; Venetian Institute of Molecular Medicine, Centro di Eccellenza per la Ricerca Biomedica Avanzata, Avanzata, Italy
| | - Filippo Severin
- Department of Medicine, Hematology and Clinical Immunology Branch, Padua University School of Medicine, Padua, Italy; Venetian Institute of Molecular Medicine, Centro di Eccellenza per la Ricerca Biomedica Avanzata, Avanzata, Italy
| | - Giorgia Chiodin
- Department of Medicine, Hematology and Clinical Immunology Branch, Padua University School of Medicine, Padua, Italy; Venetian Institute of Molecular Medicine, Centro di Eccellenza per la Ricerca Biomedica Avanzata, Avanzata, Italy
| | | | - Laura Bonaldi
- Immunology and Molecular Oncology Unit, IOV-IRCSS, Padua, Italy
| | - Ilaria Gianesello
- Department of Medicine, Hematology and Clinical Immunology Branch, Padua University School of Medicine, Padua, Italy
| | - Elisa Pagnin
- Department of Medicine, Hematology and Clinical Immunology Branch, Padua University School of Medicine, Padua, Italy
| | - Elisa Boscaro
- Department of Medicine, Hematology and Clinical Immunology Branch, Padua University School of Medicine, Padua, Italy
| | - Francesco Piazza
- Department of Medicine, Hematology and Clinical Immunology Branch, Padua University School of Medicine, Padua, Italy; Venetian Institute of Molecular Medicine, Centro di Eccellenza per la Ricerca Biomedica Avanzata, Avanzata, Italy
| | - Renato Zambello
- Department of Medicine, Hematology and Clinical Immunology Branch, Padua University School of Medicine, Padua, Italy; Venetian Institute of Molecular Medicine, Centro di Eccellenza per la Ricerca Biomedica Avanzata, Avanzata, Italy
| | - Gianpietro Semenzato
- Department of Medicine, Hematology and Clinical Immunology Branch, Padua University School of Medicine, Padua, Italy; Venetian Institute of Molecular Medicine, Centro di Eccellenza per la Ricerca Biomedica Avanzata, Avanzata, Italy.
| | - Livio Trentin
- Department of Medicine, Hematology and Clinical Immunology Branch, Padua University School of Medicine, Padua, Italy; Venetian Institute of Molecular Medicine, Centro di Eccellenza per la Ricerca Biomedica Avanzata, Avanzata, Italy.
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Holanda K, Lucena-Araujo AR, Quintas A, Mendonça T, Lima A, Vasconcelos LR, Moura P, Cavalcanti M, Machado C, Araújo AS, Bezerra MA. Mannose-binding lectin 2 (MBL2) gene polymorphisms do not influence frequency of infections in chronic lymphocytic leukemia patients. Rev Bras Hematol Hemoter 2014; 36:29-34. [PMID: 24624033 PMCID: PMC3948663 DOI: 10.5581/1516-8484.20140010] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2013] [Accepted: 06/11/2013] [Indexed: 01/07/2023] Open
Abstract
Background Infectious complications represent the main cause of morbidity and mortality in chronic lymphocytic leukemia. It has been reported that polymorphisms of the mannose-binding lectin 2 (MBL2) genes are correlated with MBL protein serum levels and, consequently, are associated with the development of infectious diseases. Objective The purpose of this study was to investigate the possible association between MBL2 gene polymorphisms and risk of infection in chronic lymphocytic leukemia patients. Methods Peripheral blood samples from 116 chronic lymphocytic leukemia patients were collected; after genomic DNA extraction, real time polymerase chain reaction was used to determine the polymorphisms of the promoter region and exon 1 of the MBL2 gene. Results A high frequency of Binet stage A (p-value = 0.005) and absence of splenomegaly (p-value = 0.002) were observed in patients with no infection; however, variant alleles/ genotypes and haplotypes of this gene had no impact on the risk of infection. Conclusion To the authors’ knowledge, this is the first study describing the association between MBL2 polymorphisms and infectious disease in chronic lymphocytic leukemia. Although it was not possible to demonstrate any influence of MBL2 polymorphisms as a genetic modulator of infection in chronic lymphocytic leukemia, the authors believe that the present data are clinically relevant and provide the basis for future studies. © 2014 Associação Brasileira de Hematologia, Hemoterapia e Terapia Celular. All rights reserved.
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Affiliation(s)
| | | | - Adônis Quintas
- Universidade Federal de Pernambuco (UFPE), Recife, PE, Brazil
| | | | - Aleide Lima
- Universidade Federal de Pernambuco (UFPE), Recife, PE, Brazil
| | | | - Patrícia Moura
- Universidade Federal de Pernambuco (UFPE), Recife, PE, Brazil
| | | | - Cíntia Machado
- Fundação de Hematologia e Hemoterapia de Pernambuco (HEMOPE), Recife, PE, Brazil
| | - Aderson Silva Araújo
- Fundação de Hematologia e Hemoterapia de Pernambuco (HEMOPE), Recife, PE, Brazil
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Niklas N, Pröll J, Weinberger J, Zopf A, Wiesinger K, Krismer K, Bettelheim P, Gabriel C. Qualifying high-throughput immune repertoire sequencing. Cell Immunol 2014; 288:31-8. [PMID: 24607567 DOI: 10.1016/j.cellimm.2014.02.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2013] [Revised: 11/06/2013] [Accepted: 02/12/2014] [Indexed: 10/25/2022]
Abstract
Diversity of B and T cell receptors, achieved by gene recombination and somatic hypermutation, allows the immune system for recognition and targeted reaction against various threats. Next-generation sequencing for assessment of a cell's gene composition and variation makes deep analysis of one individual's immune spectrum feasible. An easy to apply but detailed analysis and visualization strategy is necessary to process all sequences generated. We performed sequencing utilizing the 454 system for CLL and control samples, utilized the IMGT database and applied the presented analysis tools. With the applied protocol, malignant clones are found and characterized, mutational status compared to germline identity is elaborated in detail showing that the CLL mutation status is not as monoclonal as generally thought. On the other hand, this strategy is not solely applicable to the 454 sequencing system but can easily be transferred to any other next-generation sequencing platform.
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Affiliation(s)
- Norbert Niklas
- Red Cross Transfusion Service for Upper Austria, Krankenhausstraße 7, 4020 Linz, Austria.
| | - Johannes Pröll
- Red Cross Transfusion Service for Upper Austria, Krankenhausstraße 7, 4020 Linz, Austria.
| | - Johannes Weinberger
- Red Cross Transfusion Service for Upper Austria, Krankenhausstraße 7, 4020 Linz, Austria.
| | - Agnes Zopf
- Red Cross Transfusion Service for Upper Austria, Krankenhausstraße 7, 4020 Linz, Austria.
| | - Karin Wiesinger
- Red Cross Transfusion Service for Upper Austria, Krankenhausstraße 7, 4020 Linz, Austria.
| | - Konstantin Krismer
- University of Applied Sciences Upper Austria, Softwarepark 11, 4232 Hagenberg, Austria.
| | - Peter Bettelheim
- Division of Hematology/Oncology, Elisabethinen Hospital Linz, Fadingerstraße 1, 4020 Linz, Austria.
| | - Christian Gabriel
- Red Cross Transfusion Service for Upper Austria, Krankenhausstraße 7, 4020 Linz, Austria.
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18
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Lobetti-Bodoni C, Bertoni F, Stussi G, Cavalli F, Zucca E. The changing paradigm of chronic lymphocytic leukemia management. Eur J Intern Med 2013; 24:401-10. [PMID: 23583413 DOI: 10.1016/j.ejim.2013.03.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2012] [Revised: 03/14/2013] [Accepted: 03/15/2013] [Indexed: 10/27/2022]
Abstract
B cell-chronic lymphocytic leukemia (CLL), the commonest adult leukemia in western world, is today most often diagnosed at early-stage, following the accidental detection of lymphocytosis during a routine blood analysis. Moreover, the expectations of CLL patients have dramatically changed in the past decade and for the first time a significant overall survival improvement has been demonstrated in the disease--at least in the younger and fit patients--with the use of the FCR regimen, which combines rituximab fludarabine and cyclophosphamide. New drugs and new regimens are currently being developed for the relapsed patients and for those too old or too frail to receive aggressive treatments. Some of these promising compounds will likely be part of the future front-line treatments. Additionally, the increasing knowledge on the molecular features that predict the clinical outcome may soon result in a molecular classification of the disease. These acquisitions are producing a migration from palliative care to a curative and individually-tailored approach. In this review we tried to summarize the advances achieved in the past decade and help the specialists in internal medicine and the general practitioners to understand the completely changed scenario in which the disease should nowadays be managed.
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Affiliation(s)
- Chiara Lobetti-Bodoni
- Oncology Institute of Southern Switzerland (IOSI), Ospedale San Giovanni, Bellinzona, Switzerland
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