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Delabie J, Sakhdari A. Indolent clonal lymphoid disorders. Hum Pathol 2025:105715. [PMID: 39793932 DOI: 10.1016/j.humpath.2025.105715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2024] [Revised: 12/31/2024] [Accepted: 01/06/2025] [Indexed: 01/13/2025]
Abstract
Indolent clonal lymphoid disorders are not recognized as lymphomas as they generally need no systemic treatment, and depending on the lesion, need only limited clinical follow-up. These lesions are usually incidentally diagnosed during the work up for other disease. The recognition of indolent clonal lymphoid disorders is important to avoid misdiagnosis as lymphoma and unnecessary treatment. Notwithstanding, some indolent disorders, especially B-cell disorders, may give important morbidity that is not related to disease burden but related to auto-immune disease which may need treatment. Further, some of these lesions may, at various rates, ultimately progress to lymphoma. As such, the indolent clonal lymphoid disorders also give an insight into the earliest stages of clonal lymphoid disease that may increase our understanding of lymphoma, although much needs yet to be elucidated. In this article both B- and T-cell indolent clonal lymphoid disorders are reviewed. Not included in this review are lymphoid lesions that may be mistaken for lymphoma, but are not clonal, such as indolent T-lymphoblastic proliferation or marginal zone hyperplasia with immunoglobulin light chain restriction. Further, an emphasis has been given to clonal lymphoid lesions and therefore indolent plasma cell lesions have not been included. Also excluded is indolent lymphoma that may not need treatment but nonetheless requires more regular follow up. One may rightfully argue that there may be a gray zone between what constitutes an indolent clonal lymphoid disorder and an indolent lymphoma. This discussion is reflected in the different terminology used for some entities between editions of the WHO classification and between the Fifth Edition of the WHO Classification and the International Consensus Classification (ICC). The former has been used as a selection basis for this review, but cross-reference has been made to the ICC nomenclature when that differs as well as to the earlier Revised Fourth Edition of the WHO Classification (WHO-r4). For this reason, indolent T-cell lymphoma of the gastrointestinal tract (ICC: indolent clonal T-cell lymphoproliferative disorder of the gastrointestinal tract) is not included in this review.
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Affiliation(s)
- Jan Delabie
- University Health Network and University of Toronto, Canada.
| | - Ali Sakhdari
- University Health Network and University of Toronto, Canada
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2
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Vallejo BA, Ansari A, Parikh SA, Achenbach SJ, Rabe KG, Norman AD, Olson JE, Kay NE, Braggio E, Hanson CA, Vachon CM, Cerhan JR, Baum CL, Shanafelt TD, Slager SL. Risk of Incident Melanoma Among Individuals With Low-Count Monoclonal B-Cell Lymphocytosis. J Clin Oncol 2024; 42:4153-4162. [PMID: 39231386 PMCID: PMC11624097 DOI: 10.1200/jco.24.00332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 05/24/2024] [Accepted: 06/17/2024] [Indexed: 09/06/2024] Open
Abstract
PURPOSE Chronic lymphocytic leukemia (CLL)-phenotype monoclonal B-cell lymphocytosis (MBL) is a premalignant condition that is roughly 500-fold more common than CLL. It is unknown whether the two-fold increased risk of developing melanoma associated with CLL extends to individuals with MBL. METHODS Using the Mayo Clinic Biobank, we identified participants who were 40 years or older with no previous hematological malignancies, who resided in the 27 counties around Mayo Clinic, and who had available biospecimens for screening. Eight-color flow cytometry was used to screen for MBL. Individuals with MBL were classified as low-count MBL (LC-MBL) or high-count MBL on the basis of clonal B-cell percent. Incident melanomas were identified using International Classification of Diseases codes and confirmed via medical records review. Cox regression models were used to estimate hazard ratios (HRs) and 95% CI. RESULTS Of the 7,334 participants screened, 1,151 were identified with a CD5-positive MBL, of whom 1,098 had LC-MBL. After a median follow-up of 3.2 years (range, 0-13.5), 131 participants developed melanoma, of whom 36 individuals were positive for MBL. The estimated 5-year cumulative incidence of melanoma was 3.4% and 2.0% among those with and without MBL, respectively. After adjusting for age, sex, and history of previous melanoma, individuals with MBL exhibited a 1.86-fold (95% CI, 1.25 to 2.78) risk of melanoma. This elevated risk persisted when analysis was restricted to those without a history of melanoma (HR, 2.05 [95% CI, 1.30 to 3.23]). Individuals with LC-MBL had a 1.92-fold (95% CI, 1.29 to 2.87) increased risk of developing melanoma overall and a 2.74-fold increased risk (95% CI, 1.50 to 5.03) of melanoma in situ compared with those without MBL. CONCLUSION LC-MBL is associated with an approximately two-fold increased risk of melanoma overall and a 2.74-fold increased risk of melanoma in situ.
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Affiliation(s)
- Bryan A. Vallejo
- Division of Computational Biology, Mayo Clinic, Rochester, MN, USA
| | - Ahmed Ansari
- Department of Dermatology, Mayo Clinic, Rochester, MN, USA
| | | | - Sara J. Achenbach
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Kari G. Rabe
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | | | - Janet E. Olson
- Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Neil E. Kay
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
- Department of Immunology, Mayo Clinic, Rochester, MN, USA
| | - Esteban Braggio
- Department of Hematology and Oncology, Mayo Clinic, Phoenix, AZ, USA
| | - Curtis A. Hanson
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | - Tait D. Shanafelt
- Department of Medicine, Division of Hematology, Stanford University, Stanford, CA, USA
| | - Susan L. Slager
- Division of Computational Biology, Mayo Clinic, Rochester, MN, USA
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
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3
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Sekar A, Griffin R, Parikh SA, Genovese G, Robinson DP, Norman AD, Olson JE, Rabe KG, Hoel MS, Boddicker NJ, Hampel PJ, Kay NE, Cerhan JR, Braggio E, Hanson CA, Vachon CM, Shanafelt TD, Ebert BL, Slager SL. Mosaic chromosomal alterations (mCAs) in individuals with monoclonal B-cell lymphocytosis (MBL). Blood Cancer J 2024; 14:193. [PMID: 39505849 PMCID: PMC11541990 DOI: 10.1038/s41408-024-01175-8] [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: 07/04/2024] [Revised: 10/14/2024] [Accepted: 10/16/2024] [Indexed: 11/08/2024] Open
Abstract
MBL is a precursor condition to chronic lymphocytic leukemia (CLL), characterized by monoclonal B-cells in blood. Mosaic chromosomal alterations (mCAs) are a form of clonal hematopoiesis that include gains, losses, and copy-neutral loss-of-heterozygosity of large DNA segments. Both MBL and mCAs have been found to increase the risk of CLL and lymphoid malignancies, and the aim of our study was to investigate how mCAs relate to MBL, which is currently unknown. We analyzed genetic, flow cytometric, and hematologic data from 4632 individuals from the Mayo Clinic Biobank and CLL Database. MBL was detected using flow cytometry and classified as high-count (HC) or low-count (LC) MBL based on clone size. mCAs were detected primarily from whole blood DNA using sensitive SNP-array-based analyses. mCAs commonly altered in CLL (deletion of 6q, 11q, 13q, 17p, and trisomy 12) were specific (>99%) to individuals with MBL and CLL. HC-MBL and LC-MBL individuals were 881-fold and 8-fold, respectively, more likely to harbor CLL-associated mCAs than those without MBL. The cell fraction bearing these mCAs typically exceeded the B-cell fraction, suggesting their origin prior to the B-cell lineage. Integrating genetic and blood count data enabled detecting HC-MBL with high specificity in a biobank sample. These results quantify the contribution of mCAs to MBL and could enable large studies of HC-MBL without the need for flow cytometric screening.
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Affiliation(s)
- Aswin Sekar
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Rosalie Griffin
- Division of Computational Biology, Mayo Clinic, Rochester, MN, USA
- Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | | | - Giulio Genovese
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Dennis P Robinson
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Aaron D Norman
- Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Janet E Olson
- Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Kari G Rabe
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Mingma S Hoel
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | - Paul J Hampel
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Neil E Kay
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
- Department of Immunology, Mayo Clinic, Rochester, MN, USA
| | - James R Cerhan
- Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Esteban Braggio
- Department of Hematology/Oncology, Mayo Clinic, Phoenix, AZ, USA
| | - Curtis A Hanson
- Department of Laboratory Medicine and Pathology, Division of Hematopathology, Mayo Clinic, Rochester, MN, USA
| | | | - Tait D Shanafelt
- Department of Medicine, Division of Hematology, Stanford University, Stanford, CA, USA
| | - Benjamin L Ebert
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- The Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Howard Hughes Medical Institute, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Susan L Slager
- Division of Computational Biology, Mayo Clinic, Rochester, MN, USA.
- Division of Hematology, Mayo Clinic, Rochester, MN, USA.
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4
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Faupel-Badger J, Kohaar I, Bahl M, Chan AT, Campbell JD, Ding L, De Marzo AM, Maitra A, Merrick DT, Hawk ET, Wistuba II, Ghobrial IM, Lippman SM, Lu KH, Lawler M, Kay NE, Tlsty TD, Rebbeck TR, Srivastava S. Defining precancer: a grand challenge for the cancer community. Nat Rev Cancer 2024; 24:792-809. [PMID: 39354069 DOI: 10.1038/s41568-024-00744-0] [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] [Accepted: 08/16/2024] [Indexed: 10/03/2024]
Abstract
The term 'precancer' typically refers to an early stage of neoplastic development that is distinguishable from normal tissue owing to molecular and phenotypic alterations, resulting in abnormal cells that are at least partially self-sustaining and function outside of normal cellular cues that constrain cell proliferation and survival. Although such cells are often histologically distinct from both the corresponding normal and invasive cancer cells of the same tissue origin, defining precancer remains a challenge for both the research and clinical communities. Once sufficient molecular and phenotypic changes have occurred in the precancer, the tissue is identified as a 'cancer' by a histopathologist. While even diagnosing cancer can at times be challenging, the determination of invasive cancer is generally less ambiguous and suggests a high likelihood of and potential for metastatic disease. The 'hallmarks of cancer' set out the fundamental organizing principles of malignant transformation but exactly how many of these hallmarks and in what configuration they define precancer has not been clearly and consistently determined. In this Expert Recommendation, we provide a starting point for a conceptual framework for defining precancer, which is based on molecular, pathological, clinical and epidemiological criteria, with the goal of advancing our understanding of the initial changes that occur and opportunities to intervene at the earliest possible time point.
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Affiliation(s)
| | - Indu Kohaar
- Division of Cancer Prevention, National Cancer Institute, NIH, Rockville, MD, USA
| | - Manisha Bahl
- Division of Breast Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Joshua D Campbell
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Li Ding
- Department of Medicine and Genetics, McDonnell Genome Institute, and Siteman Cancer Center, Washington University in St Louis, Saint Louis, MO, USA
| | - Angelo M De Marzo
- Department of Pathology, Urology and Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Anirban Maitra
- Department of Translational Molecular Pathology, Sheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Daniel T Merrick
- Division of Pathology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Ernest T Hawk
- Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Irene M Ghobrial
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Scott M Lippman
- Department of Medicine, University of California, La Jolla, San Diego, CA, USA
| | - Karen H Lu
- Department of Gynecological Oncology, Moffitt Cancer Center, Tampa, FL, USA
| | - Mark Lawler
- Patrick G Johnson Centre for Cancer Research, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK
| | - Neil E Kay
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Thea D Tlsty
- Department of Medicine and Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Timothy R Rebbeck
- Dana-Farber Cancer Institute and Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Sudhir Srivastava
- Division of Cancer Prevention, National Cancer Institute, NIH, Rockville, MD, USA.
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5
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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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6
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Wiedmeier-Nutor JE, McCabe CE, O’Brien DR, Jessen E, Bonolo de Campos C, Boddicker NJ, Griffin R, Allmer C, Rabe KG, Cerhan JR, Parikh SA, Kay NE, Yan H, Van Dyke DL, Slager SL, Braggio E. Utility of Targeted Sequencing Compared to FISH for Detection of Chronic Lymphocytic Leukemia Copy Number Alterations. Cancers (Basel) 2024; 16:2450. [PMID: 39001512 PMCID: PMC11240685 DOI: 10.3390/cancers16132450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Revised: 06/27/2024] [Accepted: 06/28/2024] [Indexed: 07/16/2024] Open
Abstract
Chronic lymphocytic leukemia (CLL) is characterized by multiple copy number alterations (CNAs) and somatic mutations that are central to disease prognosis, risk stratification, and mechanisms of therapy resistance. Fluorescence in situ hybridization (FISH) panels are widely used in clinical applications as the gold standard for screening prognostic chromosomal abnormalities in CLL. DNA sequencing is an alternative approach to identifying CNAs but is not an established method for clinical CNA screening. We sequenced DNA from 509 individuals with CLL or monoclonal B-cell lymphocytosis (MBL), the precursor to CLL, using a targeted sequencing panel of 59 recurrently mutated genes in CLL and additional amplicons across regions affected by clinically relevant CNAs [i.e., del(17p), del(11q), del(13q), and trisomy 12]. We used the PatternCNV algorithm to call CNA and compared the concordance of calling clinically relevant CNAs by targeted sequencing to that of FISH. We found a high accuracy of calling CNAs via sequencing compared to FISH. With FISH as the gold standard, the specificity of targeted sequencing was >95%, sensitivity was >86%, positive predictive value was >90%, and negative predictive value was >84% across the clinically relevant CNAs. Using targeted sequencing, we were also able to identify other common CLL-associated CNAs, including del(6q), del(14q), and gain 8q, as well as complex karyotype, defined as the presence of 3 or more chromosomal abnormalities, in 26 patients. In a single and cost-effective assay that can be performed on stored DNA samples, targeted sequencing can simultaneously detect CNAs, somatic mutations, and complex karyotypes, which are all important prognostic features in CLL.
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Affiliation(s)
- J. Erin Wiedmeier-Nutor
- Division of Hematology and Oncology, Department of Medicine, Mayo Clinic, Phoenix, AZ 85054, USA
| | - Chantal E. McCabe
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Daniel R. O’Brien
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Erik Jessen
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Cecilia Bonolo de Campos
- Division of Hematology and Oncology, Department of Medicine, Mayo Clinic, Phoenix, AZ 85054, USA
| | - Nicholas J. Boddicker
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Rosalie Griffin
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Cristine Allmer
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Kari G. Rabe
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - James R. Cerhan
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Sameer A. Parikh
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Neil E. Kay
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA
- Department of Immunology, Mayo Clinic, Rochester, MN 55905, USA
| | - Huihuang Yan
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | - Daniel L. Van Dyke
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Susan L. Slager
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Esteban Braggio
- Division of Hematology and Oncology, Department of Medicine, Mayo Clinic, Phoenix, AZ 85054, USA
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7
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Kleinstern G, Boddicker NJ, O’Brien DR, Allmer C, Rabe KG, Norman AD, Griffin R, Yan H, Ma T, Call TG, Bruins L, Brown S, Bonolo de Campos C, Hanson CA, Leis JF, Ding W, Vachon CM, Kay NE, Oakes CC, Parker AS, Brander DM, Weinberg JB, Furman RR, Shanafelt TD, Cerhan JR, Parikh SA, Braggio E, Slager SL. Tumor mutational load is prognostic for progression to therapy among high-count monoclonal B-cell lymphocytosis. Blood Adv 2024; 8:2118-2129. [PMID: 38359367 PMCID: PMC11059316 DOI: 10.1182/bloodadvances.2023012242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 12/21/2023] [Accepted: 01/22/2024] [Indexed: 02/17/2024] Open
Abstract
ABSTRACT High-count monoclonal B-cell lymphocytosis (HCMBL) is a precursor condition to chronic lymphocytic leukemia (CLL). We have shown that among individuals with HCMBL, the CLL-International Prognostic Index (CLL-IPI) is prognostic for time-to-first therapy (TTFT). Little is known about the prognostic impact of somatically mutated genes among individuals with HCMBL. We sequenced DNA from 371 individuals with HCMBL using a targeted sequencing panel of 59 recurrently mutated genes in CLL to identify high-impact mutations. We compared the sequencing results with that of our treatment-naïve CLL cohort (N = 855) and used Cox regression to estimate hazard ratios and 95% confidence intervals (CIs) for associations with TTFT. The frequencies of any mutated genes were lower in HCMBL (52%) than CLL (70%). At 10 years, 37% of individuals with HCMBL with any mutated gene had progressed requiring treatment compared with 10% among individuals with HCMBL with no mutations; this led to 5.4-fold shorter TTFT (95% CI, 2.6-11.0) among HCMBL with any mutated gene vs none, independent of CLL-IPI. When considering individuals with low risk of progression according to CLL-IPI, those with HCMBL with any mutations had 4.3-fold shorter TTFT (95% CI, 1.6-11.8) vs those with none. Finally, when considering both CLL-IPI and any mutated gene status, we observed individuals with HCMBL who were high risk for both prognostic factors had worse prognosis than patients with low-risk CLL (ie, 5-year progression rate of 32% vs 21%, respectively). Among HCMBL, the frequency of somatically mutated genes at diagnosis is lower than that of CLL. Accounting for both the number of mutated genes and CLL-IPI can identify individuals with HCMBL with more aggressive clinical course.
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MESH Headings
- Humans
- Lymphocytosis/genetics
- Lymphocytosis/diagnosis
- Lymphocytosis/therapy
- Prognosis
- Mutation
- Male
- Female
- Leukemia, Lymphocytic, Chronic, B-Cell/genetics
- Leukemia, Lymphocytic, Chronic, B-Cell/mortality
- Leukemia, Lymphocytic, Chronic, B-Cell/diagnosis
- Leukemia, Lymphocytic, Chronic, B-Cell/therapy
- Middle Aged
- Aged
- Disease Progression
- B-Lymphocytes/metabolism
- B-Lymphocytes/pathology
- Adult
- Aged, 80 and over
- Lymphocyte Count
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Affiliation(s)
- Geffen Kleinstern
- School of Public Health, University of Haifa, Haifa, Israel
- Division of Computational Biology, Mayo Clinic, Rochester, MN
| | | | | | - Cristine Allmer
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN
| | - Kari G. Rabe
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN
| | | | - Rosalie Griffin
- Division of Computational Biology, Mayo Clinic, Rochester, MN
| | - Huihuang Yan
- Division of Computational Biology, Mayo Clinic, Rochester, MN
| | - Tao Ma
- Division of Computational Biology, Mayo Clinic, Rochester, MN
| | | | - Laura Bruins
- Department of Hematology and Oncology, Mayo Clinic, Phoenix, AZ
| | - Sochilt Brown
- Department of Hematology and Oncology, Mayo Clinic, Phoenix, AZ
| | | | - Curtis A. Hanson
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Jose F. Leis
- Department of Hematology and Oncology, Mayo Clinic, Phoenix, AZ
| | - Wei Ding
- Division of Hematology, Mayo Clinic, Rochester, MN
| | | | - Neil E. Kay
- Division of Hematology, Mayo Clinic, Rochester, MN
| | - Christopher C. Oakes
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus OH
- The Comprehensive Cancer Center, The James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus, OH
| | | | | | - J. Brice Weinberg
- Department of Medicine, Duke University, Duke Cancer Institute, Durham, NC
- Department of Immunology, Duke University Medical Center, Durham, NC
- Durham Veterans Affairs Medical Center, Durham, NC
| | - Richard R. Furman
- Weill Cornell Medical College/New York Presbyterian Hospital, New York, NY
| | - Tait D. Shanafelt
- Department of Medicine, Division of Hematology, Stanford University, Stanford, CA
| | | | | | - Esteban Braggio
- Department of Hematology and Oncology, Mayo Clinic, Phoenix, AZ
| | - Susan L. Slager
- Division of Computational Biology, Mayo Clinic, Rochester, MN
- Division of Hematology, Mayo Clinic, Rochester, MN
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8
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Abdelbaky SB, Giacopelli B, Rabe KG, Yamaguchi K, Wu YZ, Yan H, Shanafelt TD, Parikh SA, Ding W, Hampel PJ, Brown S, Cerhan JR, Vachon CM, Kay NE, Hanson CA, Parker AS, Braggio E, Slager SL, Oakes CC. Prediction of outcomes for high-count monoclonal B lymphocytosis using an epigenetic and immunogenetic signature. Blood 2024; 143:1752-1757. [PMID: 38194687 PMCID: PMC11103082 DOI: 10.1182/blood.2023022180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 12/27/2023] [Accepted: 12/27/2023] [Indexed: 01/11/2024] Open
Abstract
ABSTRACT Monoclonal B-cell lymphocytosis (MBL) progresses to chronic lymphocytic leukemia (CLL) requiring therapy at 1% to 5% per year. Improved prediction of progression would greatly benefit individuals with MBL. Patients with CLL separate into 3 distinct epigenetic subtypes (epitypes) with high prognostic significance, and recently the intermediate epitype has been shown to be enriched for high-risk immunoglobulin lambda variable (IGLV) 3-21 rearrangements, impacting outcomes for these patients. Here, we employed this combined strategy to generate the epigenetic and light chain immunoglobulin (ELCLV3-21) signature to classify 219 individuals with MBL. The ELCLV3-21 high-risk signature distinguished MBL individuals with a high probability of progression (39.9% and 71.1% at 5 and 10 years, respectively). ELCLV3-21 improved the accuracy of predicting time to therapy for individuals with MBL compared with other established prognostic indicators, including the CLL international prognostic index (c-statistic, 0.767 vs 0.668, respectively). Comparing ELCLV3-21 risk groups in MBL vs a cohort of 226 patients with CLL revealed ELCLV3-21 high-risk individuals with MBL had significantly shorter time to therapy (P = .003) and reduced overall survival (P = .03) compared with ELCLV3-21 low-risk individuals with CLL. These results highlight the power of the ELCLV3-21 approach to identify individuals with a higher likelihood of adverse clinical outcome and may provide a more accurate approach to classify individuals with small B-cell clones.
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MESH Headings
- Humans
- Lymphocytosis/genetics
- Lymphocytosis/diagnosis
- Lymphocytosis/immunology
- Leukemia, Lymphocytic, Chronic, B-Cell/genetics
- Leukemia, Lymphocytic, Chronic, B-Cell/immunology
- Leukemia, Lymphocytic, Chronic, B-Cell/mortality
- Leukemia, Lymphocytic, Chronic, B-Cell/diagnosis
- Female
- Male
- B-Lymphocytes/immunology
- B-Lymphocytes/pathology
- Aged
- Middle Aged
- Prognosis
- Epigenesis, Genetic
- Aged, 80 and over
- Adult
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Affiliation(s)
- Salma B. Abdelbaky
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH
- The Comprehensive Cancer Center, The James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus, OH
| | - Brian Giacopelli
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH
- The Comprehensive Cancer Center, The James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus, OH
| | - Kari G. Rabe
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN
| | - Kyoko Yamaguchi
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH
- The Comprehensive Cancer Center, The James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus, OH
| | - Yue-Zhong Wu
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH
- The Comprehensive Cancer Center, The James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus, OH
| | - Huihuang Yan
- Division of Computational Biology, Mayo Clinic, Rochester, MN
| | - Tait D. Shanafelt
- Division of Hematology, Department of Medicine, Stanford University, Stanford, CA
| | | | - Wei Ding
- Division of Hematology, Mayo Clinic, Rochester, MN
| | | | - Sochilt Brown
- Department of Hematology and Oncology, Mayo Clinic, Phoenix, AZ
| | | | | | - Neil E. Kay
- Division of Hematology, Mayo Clinic, Rochester, MN
- Department of Immunology, Mayo Clinic, Rochester, MN
| | - Curtis A. Hanson
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | | | - Esteban Braggio
- Department of Hematology and Oncology, Mayo Clinic, Phoenix, AZ
| | - Susan L. Slager
- Division of Computational Biology, Mayo Clinic, Rochester, MN
- Division of Hematology, Mayo Clinic, Rochester, MN
| | - Christopher C. Oakes
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH
- The Comprehensive Cancer Center, The James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus, OH
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9
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Rodrigues C, Laranjeira P, Pinho A, Silva I, Silva S, Coucelo M, Oliveira AC, Simões AT, Damásio I, Silva HM, Urbano M, Sarmento-Ribeiro AB, Geraldes C, Domingues MR, Almeida J, Criado I, Orfao A, Paiva A. CD20+ T cells in monoclonal B cell lymphocytosis and chronic lymphocytic leukemia: frequency, phenotype and association with disease progression. Front Oncol 2024; 14:1380648. [PMID: 38606091 PMCID: PMC11007165 DOI: 10.3389/fonc.2024.1380648] [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: 02/01/2024] [Accepted: 03/18/2024] [Indexed: 04/13/2024] Open
Abstract
Introduction In monoclonal B cell lymphocytosis (MBL) and chronic lymphocytic leukemia (CLL), the expansion of malignant B cells disrupts the normal homeostasis and interactions between B cells and T cells, leading to immune dysregulation. CD20+ T cells are a subpopulation of T cells that appear to be involved in autoimmune diseases and cancer. Methods Here, we quantified and phenotypically characterized CD20+ T cells from MBL subjects and CLL patients using flow cytometry and correlated our findings with the B-cell receptor mutational status and other features of the disease. Results and discussion CD20+ T cells were more represented within the CD8+ T cell compartment and they showed a predominant memory Tc1 phenotype. CD20+ T cells were less represented in MBL and CLL patients vs healthy controls, particularly among those with unmutated IGVH gene. The expansion of malignant B cells was accompanied by phenotypic and functional changes in CD20+ T cells, including an increase in follicular helper CD4+ CD20+ T cells and CD20+ Tc1 cells, in addition to the expansion of the TCR Vβ 5.1 in CD4+ CD20+ T cells in CLL.
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Affiliation(s)
- Cristiana Rodrigues
- Flow Cytometry Unit, Department of Clinical Pathology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
- Department of Chemistry, University of Aveiro, Aveiro, Portugal
| | - Paula Laranjeira
- Flow Cytometry Unit, Department of Clinical Pathology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
- Coimbra Institute for Clinical and Biomedical Research (iCBR), Group of Environmental Genetics of Oncobiology (CIMAGO), Faculty of Medicine (FMUC), University of Coimbra, Coimbra, Portugal
- Center for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal
- Clinical Academic Center of Coimbra (CACC), Coimbra, Portugal
- Center for Neuroscience and Cell Biology (CNC), University of Coimbra, Coimbra, Portugal
| | - Aryane Pinho
- Center for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal
- Center for Neuroscience and Cell Biology (CNC), University of Coimbra, Coimbra, Portugal
- Department of Life Sciences, Faculty of Sciences and Technology, University of Coimbra, Coimbra, Portugal
| | - Isabel Silva
- Flow Cytometry Unit, Department of Clinical Pathology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Sandra Silva
- Flow Cytometry Unit, Department of Clinical Pathology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Margarida Coucelo
- Unidade Funcional de Hematologia Molecular, Serviço de Hematologia Clínica, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Ana Catarina Oliveira
- Unidade Funcional de Hematologia Molecular, Serviço de Hematologia Clínica, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Ana Teresa Simões
- Unidade Funcional de Hematologia Molecular, Serviço de Hematologia Clínica, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Inês Damásio
- Hematology Department, Centro Hospitalar Tondela-Viseu, Viseu, Portugal
| | | | - Mafalda Urbano
- Hematology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Ana Bela Sarmento-Ribeiro
- Coimbra Institute for Clinical and Biomedical Research (iCBR), Group of Environmental Genetics of Oncobiology (CIMAGO), Faculty of Medicine (FMUC), University of Coimbra, Coimbra, Portugal
- Center for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal
- Clinical Academic Center of Coimbra (CACC), Coimbra, Portugal
- Hematology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
- University Clinics of Hematology and Oncology and Laboratory of Oncobiology and Hematology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Catarina Geraldes
- Coimbra Institute for Clinical and Biomedical Research (iCBR), Group of Environmental Genetics of Oncobiology (CIMAGO), Faculty of Medicine (FMUC), University of Coimbra, Coimbra, Portugal
- Center for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal
- Clinical Academic Center of Coimbra (CACC), Coimbra, Portugal
- Hematology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
- University Clinics of Hematology and Oncology and Laboratory of Oncobiology and Hematology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - M. Rosário Domingues
- Mass Spectrometry Centre, Associated Laboratory for Green Chemistry (LAQV-REQUIMTE), Department of Chemistry, University of Aveiro, Aveiro, Portugal
- CESAM—Centre for Environmental and Marine Studies, Department of Chemistry, University of Aveiro, Aveiro, Portugal
| | - Julia Almeida
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC-University of Salamanca), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Ignacio Criado
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC-University of Salamanca), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Alberto Orfao
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC-University of Salamanca), Salamanca, Spain
- Department of Medicine, University of Salamanca (Universidad de Salamanca), Salamanca, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Artur Paiva
- Flow Cytometry Unit, Department of Clinical Pathology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
- Coimbra Institute for Clinical and Biomedical Research (iCBR), Group of Environmental Genetics of Oncobiology (CIMAGO), Faculty of Medicine (FMUC), University of Coimbra, Coimbra, Portugal
- Center for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal
- Clinical Academic Center of Coimbra (CACC), Coimbra, Portugal
- Ciências Biomédicas Laboratoriais, Instituto Politécnico de Coimbra, Escola Superior de Tecnologia da Saúde de Coimbra (ESTESC)-Coimbra Health School, Coimbra, Portugal
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10
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Davi F. Prehistory of chronic lymphocytic leukemia: clues from the B-cell receptor. Haematologica 2024; 109:709-711. [PMID: 37731392 PMCID: PMC10905098 DOI: 10.3324/haematol.2023.283799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 09/11/2023] [Indexed: 09/22/2023] Open
Affiliation(s)
- Frederic Davi
- Department of Hematology, AP-HP, Pitié-Salpêtrière Hospital, Sorbonne Université, Paris, France
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11
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Quinten E, Sepúlveda-Yáñez JH, Koning MT, Eken JA, Pfeifer D, Nteleah V, De Groen RAL, Saravia DA, Knijnenburg J, Stuivenberg-Bleijswijk HE, Pantic M, Agathangelidis A, Keppler-Hafkemeyer A, Van Bergen CAM, Uribe-Paredes R, Stamatopoulos K, Vermaat JSP, Zirlik K, Navarrete MA, Jumaa H, Veelken H. Autonomous B-cell receptor signaling and genetic aberrations in chronic lymphocytic leukemia-phenotype monoclonal B lymphocytosis in siblings of patients with chronic lymphocytic leukemia. Haematologica 2024; 109:824-834. [PMID: 37439337 PMCID: PMC10905078 DOI: 10.3324/haematol.2022.282542] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 06/30/2023] [Indexed: 07/14/2023] Open
Abstract
Clonal expansion of CD5-expressing B cells, commonly designated as monoclonal B lymphocytosis (MBL), is a precursor condition for chronic lymphocytic leukemia (CLL). The mechanisms driving subclinical MBL B-cell expansion and progression to CLL, occurring in approximately 1% of affected individuals, are unknown. An autonomously signaling B-cell receptor (BCR) is essential for the pathogenesis of CLL. The objectives of this study were functional characterization of the BCR of MBL in siblings of CLL patients and a comparison of genetic variants in MBL-CLL sibling pairs. Screening of peripheral blood by flow cytometry detected 0.2-480 clonal CLL-phenotype cells per microliter (median: 37/μL) in 34 of 191 (17.8%) siblings of CLL patients. Clonal BCR isolated from highly purified CLL-phenotype cells induced robust calcium mobilization in BCR-deficient murine pre-B cells in the absence of external antigen and without experimental crosslinking. This autonomous BCR signal was less intense than the signal originating from the CLL BCR of their CLL siblings. According to genotyping by single nucleotide polymorphism array, whole exome, and targeted panel sequencing, CLL risk alleles were found with high and similar prevalence in CLL patients and MBL siblings, respectively. Likewise, the prevalence of recurrent CLL-associated genetic variants was similar between CLL and matched MBL samples. However, copy number variations and small variants were frequently subclonal in MBL cells, suggesting their acquisition during subclinical clonal expansion. These findings support a stepwise model of CLL pathogenesis, in which autonomous BCR signaling leads to a non-malignant (oligo)clonal expansion of CD5+ B cells, followed by malignant progression to CLL after acquisition of pathogenic genetic variants.
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Affiliation(s)
- Edwin Quinten
- Department of Hematology, Leiden University Medical Center, Leiden
| | - Julieta H Sepúlveda-Yáñez
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands; School of Medicine, Universidad de Magallanes, Punta Arenas, Chile
| | - Marvyn T Koning
- Department of Hematology, Leiden University Medical Center, Leiden
| | - Janneke A Eken
- Department of Hematology, Leiden University Medical Center, Leiden
| | - Dietmar Pfeifer
- Department of Medicine I, University Medical Center Freiburg, Freiburg
| | - Valeri Nteleah
- Department of Hematology, Leiden University Medical Center, Leiden
| | | | | | - Jeroen Knijnenburg
- Department of Clinical Genetics, Leiden University Medical Center, Leiden
| | | | - Milena Pantic
- Department of Medicine I, University Medical Center Freiburg, Freiburg
| | - Andreas Agathangelidis
- Department of Biology, School of Science, National and Kapodistrian University of Athens, Athens, Greece; Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece
| | | | | | - Roberto Uribe-Paredes
- Department of Computer Engineering, Universidad de Magallanes, Punta Arenas, Chile; Centre for Biotechnology and Bioengineering, Santiago, Chile
| | - Kostas Stamatopoulos
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece; Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm
| | | | - Katja Zirlik
- Department of Medicine I, University Medical Center Freiburg, Freiburg, Germany; Tumor-und Brustzentrum Ostschweiz, Chur
| | | | | | - Hendrik Veelken
- Department of Hematology, Leiden University Medical Center, Leiden.
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12
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Celis M, Navarro Y, Serrano N, Martínez D, Nieto W. B-cell lymphocytosis in relatives of Colombian patients with chronic B-cell lymphoproliferative disorders. BIOMEDICA : REVISTA DEL INSTITUTO NACIONAL DE SALUD 2023; 43:66-78. [PMID: 38207149 PMCID: PMC10895924 DOI: 10.7705/biomedica.7099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 10/06/2023] [Indexed: 01/13/2024]
Abstract
Introduction. Monoclonal B-cell lymphocytosis generally precedes chronic lymphocytic leukemia, affecting about 12% of the healthy adult population. This frequency increases in relatives of patients with chronic B-cell lymphoproliferative disorders. Objective. To determine the frequency of monoclonal B-cell lymphocytosis in relatives of patients with chronic B-cell lymphoproliferative disorders, their immunophenotypic/cytogenetic characteristics, a possible relationship with infectious agents, and short-term follow-up in the Colombian population. Materials and methods. Fifty healthy adults with a family history of chronic B-cell lymphoproliferative disorders were studied using multiparametric flow cytometry, cytogenetic/serological testing, lifestyle survey, and 2-year follow-up. Results. The frequency of monoclonal B-cell lymphocytosis found was 8%, with a predominance of female gender and advanced age, increasing to 12.5% for individuals with a family history of chronic lymphocytic leukemia. Three out of four individuals presented chronic lymphocytic leukemia-type immunophenotype, all with low counts. In turn, a significantly higher number of cells/μl is observed in these individuals in T lymphocyte subpopulations, together with a greater predisposition to the disease. The described clonal populations increase over time in a non-significant manner. Conclusions. The frequency and behavior of monoclonal B-cell lymphocytosis in patients with family history of chronic B-cell lymphoproliferative disorders are like those found in related studies, which suggests that there is no involvement of more relevant genes that can trigger uncontrolled clonal proliferation, but that generates immunological deregulation that could justify a greater risk of serious infection in these individuals.
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Affiliation(s)
- Mike Celis
- Doctorado en Ciencias Biomédicas, Facultad de Salud, Universidad del Valle, Cali, Colombia; Instituto de Investigación Masira, Facultad de Ciencias Médicas y de la Salud, Universidad de Santander, Bucaramanga, Colombia.
| | - Yohanna Navarro
- Grupo de Investigación Biomédica Traslacional, Hospital Internacional de Colombia, Floridablanca, Colombia.
| | - Norma Serrano
- Grupo de Investigación Biomédica Traslacional, Hospital Internacional de Colombia, Floridablanca, Colombia.
| | - Daniel Martínez
- Instituto de Investigación Masira, Facultad de Ciencias Médicas y de la Salud, Universidad de Santander, Bucaramanga, Colombia.
| | - Wendy Nieto
- Grupo de Investigación Biomédica Traslacional, Hospital Internacional de Colombia, Floridablanca, Colombia.
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13
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Boddicker NJ, Parikh SA, Norman AD, Rabe KG, Griffin R, Call TG, Robinson DP, Olson JE, Dispenzieri A, Rajkumar V, Kumar S, Kay NE, Hanson CA, Cerhan JR, Murray D, Braggio E, Shanafelt TD, Vachon CM, Slager SL. Relationship among three common hematological premalignant conditions. Leukemia 2023; 37:1719-1722. [PMID: 37147423 PMCID: PMC10400408 DOI: 10.1038/s41375-023-01914-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 04/14/2023] [Accepted: 04/20/2023] [Indexed: 05/07/2023]
Affiliation(s)
| | | | - Aaron D Norman
- Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Kari G Rabe
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Rosalie Griffin
- Division of Computational Biology, Mayo Clinic, Rochester, MN, USA
| | | | - Dennis P Robinson
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Janet E Olson
- Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Shaji Kumar
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Neil E Kay
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
- Department of Immunology, Mayo Clinic, Rochester, MN, USA
| | - Curtis A Hanson
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - James R Cerhan
- Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - David Murray
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Esteban Braggio
- Department of Hematology and Oncology, Mayo Clinic, Phoenix, AZ, USA
| | - Tait D Shanafelt
- Department of Medicine, Division of Hematology, Stanford University, Stanford, CA, USA
| | | | - Susan L Slager
- Division of Computational Biology, Mayo Clinic, Rochester, MN, USA.
- Division of Hematology, Mayo Clinic, Rochester, MN, USA.
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14
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Kleinstern G, Slager SL. The inherited genetic contribution and polygenic risk score for risk of CLL and MBL: a narrative review. Leuk Lymphoma 2023; 64:788-798. [PMID: 36576061 PMCID: PMC10121840 DOI: 10.1080/10428194.2022.2157215] [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: 11/04/2022] [Revised: 12/04/2022] [Accepted: 12/06/2022] [Indexed: 12/29/2022]
Abstract
Chronic lymphocytic leukemia (CLL) is a neoplasm of B-cells in the blood and monoclonal B-cell lymphocytosis (MBL) is a precursor state to CLL. This narrative review provides an overview of the genetic studies that identified 43 common variants associated with risk of CLL among individuals of European ancestry. Emerging studies found that ∼50% of these variants are associated with MBL risk. Moreover, the polygenic risk score (PRS) calculated from these CLL variants has been shown to be a robust predictor for both CLL and MBL risk among European ancestry individuals but a weak predictor among African ancestry individuals. By summarizing these genetic studies, we conclude that additional studies are needed in other race/ethnic populations to identify race-specific susceptibility variants, that functional studies are needed to validate the biological mechanisms of the variants, and that the clinical utility of the PRS is limited until preventive strategies for CLL are developed.
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Affiliation(s)
- Geffen Kleinstern
- School of Public Health, University of Haifa, Haifa, Israel
- Division of Computational Biology, Mayo Clinic, Rochester, MN, USA
| | - Susan L Slager
- Division of Computational Biology, Mayo Clinic, Rochester, MN, USA
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
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15
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Tang C, Shen Y, Soosapilla A, Mulligan SP. Monoclonal B-cell Lymphocytosis - a review of diagnostic criteria, biology, natural history, and clinical management. Leuk Lymphoma 2022; 63:2795-2806. [PMID: 35767361 DOI: 10.1080/10428194.2022.2092857] [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] [Indexed: 12/14/2022]
Abstract
Since first described almost two decades ago, there has been significant evolution in our definition and understanding of the biology and implications of monoclonal B-cell lymphocytosis (MBL). This review provides an overview of the definition, classification, biology, and natural history of MBL, mainly focused on the dominant CLL-like phenotype form of MBL. The increasingly recognized implications of MBL with respect to immune dysfunction are discussed, particularly in view of the COVID-19 pandemic, along with management recommendations for MBL in the clinic.
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Affiliation(s)
- Catherine Tang
- Department of Haematology and Flow Cytometry, Laverty Pathology, Sydney, Australia.,Department of Haematology, Gosford Hospital, Gosford, Australia.,School of Medicine and Public Health, The University of Newcastle, Newcastle, Australia
| | - Yandong Shen
- Department of Haematology, Royal North Shore Hospital, St Leonards, Sydney, Australia.,Kolling Institute, University of Sydney, St Leonards, Sydney, Australia
| | - Asha Soosapilla
- Department of Haematology and Flow Cytometry, Laverty Pathology, Sydney, Australia
| | - Stephen P Mulligan
- Department of Haematology and Flow Cytometry, Laverty Pathology, Sydney, Australia.,Department of Haematology, Royal North Shore Hospital, St Leonards, Sydney, Australia.,Kolling Institute, University of Sydney, St Leonards, Sydney, Australia
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16
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Parikh SA, Achenbach SJ, Rabe KG, Norman AD, Boddicker NJ, Olson JE, Call TG, Cerhan JR, Vachon CM, Kay NE, Braggio E, Hanson CA, Slager SL, Shanafelt TD. The risk of coronavirus disease 2019 (COVID-19) among individuals with monoclonal B cell lymphocytosis. Blood Cancer J 2022; 12:159. [PMID: 36418344 PMCID: PMC9684458 DOI: 10.1038/s41408-022-00754-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 11/05/2022] [Accepted: 11/08/2022] [Indexed: 11/24/2022] Open
Affiliation(s)
| | - Sara J Achenbach
- Division of Computational Biology, Mayo Clinic, Rochester, MN, USA
| | - Kari G Rabe
- Division of Computational Biology, Mayo Clinic, Rochester, MN, USA
| | - Aaron D Norman
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | | | - Janet E Olson
- Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | | | - James R Cerhan
- Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | | | - Neil E Kay
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Esteban Braggio
- Department of Hematology and Oncology, Mayo Clinic, Phoenix, AZ, USA
| | - Curtis A Hanson
- Department of Laboratory Medicine and Pathology, Division of Hematopathology, Mayo Clinic, Rochester, MN, USA
| | - Susan L Slager
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
- Division of Computational Biology, Mayo Clinic, Rochester, MN, USA
| | - Tait D Shanafelt
- Department of Medicine, Division of Hematology, Stanford University, Stanford, CA, USA
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17
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Old and New Facts and Speculations on the Role of the B Cell Receptor in the Origin of Chronic Lymphocytic Leukemia. Int J Mol Sci 2022; 23:ijms232214249. [PMID: 36430731 PMCID: PMC9693457 DOI: 10.3390/ijms232214249] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 11/09/2022] [Accepted: 11/11/2022] [Indexed: 11/19/2022] Open
Abstract
The engagement of the B cell receptor (BcR) on the surface of leukemic cells represents a key event in chronic lymphocytic leukemia (CLL) since it can lead to the maintenance and expansion of the neoplastic clone. This notion was initially suggested by observations of the CLL BcR repertoire and of correlations existing between certain BcR features and the clinical outcomes of single patients. Based on these observations, tyrosine kinase inhibitors (TKIs), which block BcR signaling, have been introduced in therapy with the aim of inhibiting CLL cell clonal expansion and of controlling the disease. Indeed, the impressive results obtained with these compounds provided further proof of the role of BcR in CLL. In this article, the key steps that led to the determination of the role of BcR are reviewed, including the features of the CLL cell repertoire and the fine mechanisms causing BcR engagement and cell signaling. Furthermore, we discuss the biological effects of the engagement, which can lead to cell survival/proliferation or apoptosis depending on certain intrinsic cell characteristics and on signals that the micro-environment can deliver to the leukemic cells. In addition, consideration is given to alternative mechanisms promoting cell proliferation in the absence of BcR signaling, which can explain in part the incomplete effectiveness of TKI therapies. The role of the BcR in determining clonal evolution and disease progression is also described. Finally, we discuss possible models to explain the selection of a special BcR set during leukemogenesis. The BcR may deliver activation signals to the cells, which lead to their uncontrolled growth, with the possible collaboration of other still-undefined events which are capable of deregulating the normal physiological response of B cells to BcR-delivered stimuli.
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18
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Marti G. The clonal evolution and natural history of MBL. Blood 2022; 140:1660-1661. [PMID: 36227748 PMCID: PMC9707393 DOI: 10.1182/blood.2022017940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
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19
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Slager SL, Parikh SA, Achenbach SJ, Norman AD, Rabe KG, Boddicker NJ, Olson JE, Kleinstern G, Lesnick CE, Call TG, Cerhan JR, Vachon CM, Kay NE, Braggio E, Hanson CA, Shanafelt TD. Progression and survival of MBL: a screening study of 10 139 individuals. Blood 2022; 140:1702-1709. [PMID: 35969843 PMCID: PMC9837414 DOI: 10.1182/blood.2022016279] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 07/23/2022] [Indexed: 01/21/2023] Open
Abstract
Monoclonal B-cell lymphocytosis (MBL) is a common hematological premalignant condition that is understudied in screening cohorts. MBL can be classified into low-count (LC) and high-count (HC) types based on the size of the B-cell clone. Using the Mayo Clinic Biobank, we screened for MBL and evaluated its association with future hematologic malignancy and overall survival (OS). We had a two-stage study design including discovery and validation cohorts. We screened for MBL using an eight-color flow-cytometry assay. Medical records were abstracted for hematological cancers and death. We used Cox regression to evaluate associations and estimate hazard ratios and 95% confidence intervals (CIs), adjusting for age and sex. We identified 1712 (17%) individuals with MBL (95% LC-MBL), and the median follow-up time for OS was 34.4 months with 621 individuals who died. We did not observe an association with OS among individuals with LC-MBL (P = .78) but did among HC-MBL (hazard ratio, 1.8; 95% CI, 1.1-3.1; P = .03). Among the discovery cohort with a median of 10.0 years follow-up, 31 individuals developed hematological cancers with two-thirds being lymphoid malignancies. MBL was associated with 3.6-fold risk of hematological cancer compared to controls (95% CI, 1.7-7.7; P < .001) and 7.7-fold increased risk for lymphoid malignancies (95% CI:3.1-19.2; P < .001). LC-MBL was associated with 4.3-fold risk of lymphoid malignancies (95% CI, 1.4-12.7; P = .009); HC-MBL had a 74-fold increased risk (95% CI, 22-246; P < .001). In this large screening cohort, we observed similar survival among individuals with and without LC-MBL, yet individuals with LC-MBL have a fourfold increased risk of lymphoid malignancies. Accumulating evidence indicates that there are clinical consequences to LC-MBL, a condition that affects 8 to 10 million adults in the United States.
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Affiliation(s)
- Susan L. Slager
- Division of Hematology, Mayo Clinic, Rochester, MN
- Division of Computational Biology, Mayo Clinic, Rochester, MN
| | | | - Sara J. Achenbach
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN
| | | | - Kari G. Rabe
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN
| | | | | | - Geffen Kleinstern
- Division of Computational Biology, Mayo Clinic, Rochester, MN
- School of Public Health, University of Haifa, Haifa, Israel
| | | | | | | | | | - Neil E. Kay
- Division of Hematology, Mayo Clinic, Rochester, MN
| | - Esteban Braggio
- Department of Hematology and Oncology, Mayo Clinic, Phoenix, AZ
| | - Curtis A. Hanson
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Tait D. Shanafelt
- Division of Hematology, Department of Medicine, Stanford University, Stanford, CA
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20
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Kolijn PM, Hosnijeh FS, Späth F, Hengeveld PJ, Agathangelidis A, Saleh M, Casabonne D, Benavente Y, Jerkeman M, Agudo A, Barricarte A, Besson C, Sánchez MJ, Chirlaque MD, Masala G, Sacerdote C, Grioni S, Schulze MB, Nieters A, Engelfriet P, Hultdin M, McKay JD, Vermeulen RC, Langerak AW. High-risk subtypes of chronic lymphocytic leukemia are detectable as early as 16 years prior to diagnosis. Blood 2022; 139:1557-1563. [PMID: 34662377 PMCID: PMC10650964 DOI: 10.1182/blood.2021012890] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 10/04/2021] [Indexed: 11/20/2022] Open
Abstract
Chronic lymphocytic leukemia (CLL) is preceded by monoclonal B-cell lymphocytosis (MBL), a CLL precursor state with a prevalence of up to 12% in aged individuals; however, the duration of MBL and the mechanisms of its evolution to CLL remain largely unknown. In this study, we sequenced the B-cell receptor (BcR) immunoglobulin heavy chain (IGH) gene repertoire of 124 patients with CLL and 118 matched controls in blood samples taken up to 22 years prior to diagnosis. Significant skewing in the BcR IGH gene repertoire was detected in the majority of patients, even before the occurrence of lymphocytosis and irrespective of the clonotypic IGH variable gene somatic hypermutation status. Furthermore, we identified dominant clonotypes belonging to major stereotyped subsets associated with poor prognosis up to 16 years before diagnosis in 14 patients with CLL. In 22 patients with longitudinal samples, the skewing of the BcR IGH gene repertoire increased significantly over time to diagnosis or remained stable at high levels. For 14 of 16 patients with available samples at diagnosis, the CLL clonotype was already present in the prediagnostic samples. Overall, our data indicate that the preclinical phase of CLL could be longer than previously thought, even in adverse-prognostic cases.
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Affiliation(s)
- P. Martijn Kolijn
- Department of Immunology, Laboratory Medical Immunology, Erasmus MC, Rotterdam, The Netherlands
- Division of Environmental Epidemiology and Veterinary Public Health, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Fatemeh Saberi Hosnijeh
- Division of Environmental Epidemiology and Veterinary Public Health, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Florentin Späth
- Department of Radiation Sciences, Oncology, Cancer Center, Department of Hematology
| | - Paul J. Hengeveld
- Department of Immunology, Laboratory Medical Immunology, Erasmus MC, Rotterdam, The Netherlands
| | - Andreas Agathangelidis
- Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece
- Department of Biology, School of Science, National and Kapodistrian University of Athens, Athens, Greece
| | - Manal Saleh
- Division of Environmental Epidemiology and Veterinary Public Health, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Delphine Casabonne
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública, Madrid, Spain
- Unit of Molecular and Genetic Epidemiology in Infections and Cancer, Cancer Epidemiology Research Programme, Bellvitge Institute for Biomedical Research (IDIBELL), Catalan Institute of Oncology, Hospitalet De Llobregat, Barcelona, Spain
| | - Yolanda Benavente
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública, Madrid, Spain
- Unit of Molecular and Genetic Epidemiology in Infections and Cancer, Cancer Epidemiology Research Programme, Bellvitge Institute for Biomedical Research (IDIBELL), Catalan Institute of Oncology, Hospitalet De Llobregat, Barcelona, Spain
| | - Mats Jerkeman
- Division of Oncology, Lund University, Lund, Sweden
- Department of Oncology, Skane University Hospital, Lund, Sweden
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Epidemiology, Public Health, Cancer Prevention, and Palliative Care Program, Bellvitge Biomedical Research Institute, Bellvitge Institute for Biomedical Research (IDIBELL), Catalan Institute of Oncology, Hospitalet De Llobregat, Barcelona, Spain
| | - Aurelio Barricarte
- Navarra Public Health Institute, Navarra Institute for Health Research, Pamplona, Spain
- Biomedical Research Networking Center for Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Caroline Besson
- Université Paris-Saclay, Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), French Institute of Health and Medical Research (INSERM), Équipe “Exposome et Hérédité”, Centre de Recherche en épidémiologie et Santé des populations (CESP), Villejuif, France
- Service d'Hématologie Oncologie, Centre Hospitalier de Versailles, Le Chesnay, France
| | - Maria-Jose Sánchez
- Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs.GRANADA, Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública, Madrid, Spain
| | - María-Dolores Chirlaque
- Biomedical Research Networking Center for Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Regional Health Council, Instituto Murciano de Investigación Biosanitaria Virgen de la Arrixaca (IMIB-Arrixaca), Murcia University, Murcia, Spain
| | - Giovanna Masala
- Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network, Florence, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy
| | - Sara Grioni
- Epidemiology and Prevention Unit, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Nazionale dei Tumori di Milano, Milano, Italy
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Alexandra Nieters
- Institute for Immunodeficiency, University Medical Center Freiburg, Freiburg, Germany
| | - Peter Engelfriet
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Magnus Hultdin
- Department of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden
| | - James D. McKay
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Roel C.H. Vermeulen
- Division of Environmental Epidemiology and Veterinary Public Health, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Anton W. Langerak
- Department of Immunology, Laboratory Medical Immunology, Erasmus MC, Rotterdam, The Netherlands
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21
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Premonoclonal B-cell lymphocytosis: the CLL cell of origin. Blood 2022; 139:1436-1437. [PMID: 35267006 DOI: 10.1182/blood.2021014339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 10/21/2021] [Indexed: 11/20/2022] Open
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22
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Boddicker NJ, Achenbach SJ, Parikh SA, Kleinstern G, Braggio E, Norman AD, Rabe KG, Vachon CM, Lesnick CE, Call TG, Olson JE, Cerhan JR, Kay NE, Hanson CA, Shanafelt TD, Slager SL. Associations of history of vaccination and hospitalization due to infection with risk of monoclonal B-cell lymphocytosis. Leukemia 2022; 36:1404-1407. [PMID: 35169244 PMCID: PMC8853183 DOI: 10.1038/s41375-022-01514-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 01/13/2022] [Accepted: 01/26/2022] [Indexed: 12/14/2022]
Affiliation(s)
- Nicholas J. Boddicker
- grid.66875.3a0000 0004 0459 167XDivision of Computational Biology, Mayo Clinic, Rochester, MN USA
| | - Sara J. Achenbach
- grid.66875.3a0000 0004 0459 167XDivision of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN USA
| | - Sameer A. Parikh
- grid.66875.3a0000 0004 0459 167XDivision of Hematology, Mayo Clinic, Rochester, MN USA
| | - Geffen Kleinstern
- grid.66875.3a0000 0004 0459 167XDivision of Computational Biology, Mayo Clinic, Rochester, MN USA ,grid.18098.380000 0004 1937 0562School of Public Health, University of Haifa, Haifa, Israel
| | - Esteban Braggio
- grid.470142.40000 0004 0443 9766Department of Hematology and Oncology, Mayo Clinic, Phoenix, AZ USA
| | - Aaron D. Norman
- grid.66875.3a0000 0004 0459 167XDivision of Epidemiology, Mayo Clinic, Rochester, MN USA
| | - Kari G. Rabe
- grid.66875.3a0000 0004 0459 167XDivision of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN USA
| | - Celine M. Vachon
- grid.66875.3a0000 0004 0459 167XDivision of Epidemiology, Mayo Clinic, Rochester, MN USA
| | - Connie E. Lesnick
- grid.66875.3a0000 0004 0459 167XDivision of Hematology, Mayo Clinic, Rochester, MN USA
| | - Timothy G. Call
- grid.66875.3a0000 0004 0459 167XDivision of Hematology, Mayo Clinic, Rochester, MN USA
| | - Janet E. Olson
- grid.66875.3a0000 0004 0459 167XDivision of Epidemiology, Mayo Clinic, Rochester, MN USA
| | - James R. Cerhan
- grid.66875.3a0000 0004 0459 167XDivision of Epidemiology, Mayo Clinic, Rochester, MN USA
| | - Neil E. Kay
- grid.66875.3a0000 0004 0459 167XDivision of Hematology, Mayo Clinic, Rochester, MN USA
| | - Curtis A. Hanson
- grid.66875.3a0000 0004 0459 167XDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN USA
| | - Tait D. Shanafelt
- grid.168010.e0000000419368956Department of Medicine, Division of Hematology, Stanford University, Stanford, CA USA
| | - Susan L. Slager
- grid.66875.3a0000 0004 0459 167XDivision of Computational Biology, Mayo Clinic, Rochester, MN USA ,grid.66875.3a0000 0004 0459 167XDivision of Hematology, Mayo Clinic, Rochester, MN USA
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23
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Polygenic risk score and risk of monoclonal B-cell lymphocytosis in caucasians and risk of chronic lymphocytic leukemia (CLL) in African Americans. Leukemia 2022; 36:119-125. [PMID: 34285341 PMCID: PMC8727288 DOI: 10.1038/s41375-021-01344-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 06/29/2021] [Accepted: 07/05/2021] [Indexed: 12/14/2022]
Abstract
Monoclonal B-cell lymphocytosis (MBL) is a precursor to CLL. Other than age, sex, and CLL family-history, little is known about factors associated with MBL risk. A polygenic-risk-score (PRS) of 41 CLL-susceptibility variants has been found to be associated with CLL risk among individuals of European-ancestry(EA). Here, we evaluate these variants, the PRS, and environmental factors for MBL risk. We also evaluate these variants and the CLL-PRS among African-American (AA) and EA-CLL cases and controls. Our study included 560 EA MBLs, 869 CLLs (696 EA/173 AA), and 2866 controls (2631 EA/235 AA). We used logistic regression, adjusting for age and sex, to estimate odds ratios (OR) and 95% confidence intervals within each race. We found significant associations with MBL risk among 21 of 41 variants and with the CLL-PRS (OR = 1.86, P = 1.9 × 10-29, c-statistic = 0.72). Little evidence of any association between MBL risk and environmental factors was observed. We observed significant associations of the CLL-PRS with EA-CLL risk (OR = 2.53, P = 4.0 × 10-63, c-statistic = 0.77) and AA-CLL risk (OR = 1.76, P = 5.1 × 10-5, c-statistic = 0.62). Inherited genetic factors and not environmental are associated with MBL risk. In particular, the CLL-PRS is a strong predictor for both risk of MBL and EA-CLL, but less so for AA-CLL supporting the need for further work in this population.
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24
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The Biology of Chronic Lymphocytic Leukemia: Diagnostic and Prognostic Implications. ACTA ACUST UNITED AC 2021; 27:266-274. [PMID: 34398553 DOI: 10.1097/ppo.0000000000000534] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
ABSTRACT The high degree of clinical heterogeneity of chronic lymphocytic leukemia (CLL) is influenced by the disease molecular complexity. Genetic studies have allowed to better understand CLL biology and to identify molecular biomarkers of clinical relevance. TP53 disruption represents the strongest prognosticator of chemorefractoriness and indicates the use of Bruton tyrosine kinase inhibitors (BTKis) and BCL2 inhibitors. Unmutated IGHV (immunoglobulin heavy variable) genes also predict refractoriness to chemoimmunotherapy; importantly, when treated with B-cell receptor inhibitors or BCL2 inhibitors, IGHV unmutated patients display an outcome similar to that of IGHV mutated CLL. Before choosing treatment, a comprehensive assessment of TP53 and IGHV status is recommended by all guidelines for CLL clinical management. In case of fixed-duration therapeutic strategies, monitoring of minimal residual disease may provide a tool to decide treatment duration. The current precision medicine management of CLL patients might be further improved by the adoption of novel biomarkers that are emerging as clinically meaningful for this disease.
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25
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Familial patterns of hematologic precursors. Blood 2021; 137:1992-1993. [PMID: 33856447 DOI: 10.1182/blood.2020010035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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