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      Myeloid clonal hematopoiesis of indeterminate potential in patients with chronic lymphocytic leukemia

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          Key Points

          • The prevalence of myeloid CHIP in patients with CLL was 12% in untreated and 24% in treated patients (85% with prior chemotherapy exposure).

          • The presence of ≥2 M-CHIP mutations was associated with survival, even accounting for prior treatment and age.

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          Abstract

          Clonal hematopoiesis of indeterminate potential (CHIP) in patients with chronic lymphocytic leukemia (CLL) has not been extensively characterized. The objective of this study was to describe the prevalence of myeloid CHIP (M-CHIP) in patients with CLL, and to determine its association with time to first treatment (TTFT) and overall survival (OS). We retrospectively analyzed data from patients participating in a prospective CLL database at the Dana-Farber Cancer Institute who had standard-of-care targeted 95-gene next-generation sequencing (NGS) performed. A schema was devised to classify mutations as M-CHIP related. M-CHIP was analyzed as a binary (present/absent) and categorical (≥2 vs 1 vs 0 mutations) predictor. We included 966 patients (median age at time of NGS, 65 years; 38% female). Overall, 747 (77%) patients had NGS performed before CLL treatment, whereas 219 (23%) had it performed after receiving treatment. Median follow-up time from NGS was 1.9 years. The prevalence of M-CHIP in untreated (12%) and treated (24%) patients with CLL was similar to that described in previous literature. M-CHIP prevalence appeared to increase with age in untreated patients, but appeared consistent across age in treated patients, suggesting that treatment (85% had prior chemotherapy) may have an impact on M-CHIP emergence even in younger patients. The presence of ≥2 M-CHIP mutations was associated with OS, even accounting for prior treatment and age, but was driven by a small subset of patients (n = 28). M-CHIP was not associated with TTFT. These findings support continued work into characterizing the effects of M-CHIP in patients with CLL.

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          Most cited references24

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          Clonal Hematopoiesis and Risk of Atherosclerotic Cardiovascular Disease

          Background Clonal hematopoiesis of indeterminate potential (CHIP), defined by the presence of an expanded somatic blood cell clone in those without other hematologic abnormalities, is common in older individuals and associates with an increased risk of developing hematologic cancer. We previously found preliminary evidence for an association of CHIP with human atherosclerotic cardiovascular disease, but the nature of this association was unclear. Methods We used whole exome sequencing to detect the presence of CHIP in peripheral blood cells and associated this with coronary heart disease in four case-control studies together comprising 4,794 cases and 3,537 controls. To assess causality, we perturbed the function of Tet2, the second most commonly mutated gene linked to clonal hematopoiesis, in the hematopoietic cells of atherosclerosis-prone mice. Results In nested case-control analyses from two prospective cohorts, carriers of CHIP had a 1.9-fold (95% confidence interval 1.4–2.7) increased risk of coronary heart disease compared to non-carriers. In two retrospective case-control cohorts for early-onset myocardial infarction, those with CHIP had a 4.0-fold greater risk (95% confidence interval 2.4–6.7) of having myocardial infarction. Mutations in DNMT3A, TET2, ASXL1, and JAK2 were each individually associated with coronary heart disease. Those with clonal hematopoiesis also had increased coronary artery calcification, a marker of coronary atherosclerosis burden. Hyperlipidemic mice engrafted with Tet2−/− or Tet2+/− bone marrow developed larger atherosclerotic lesions in the aortic root and aorta than mice receiving control marrow. Analyses of Tet2−/− macrophages demonstrated elevated expression of several chemokine and cytokine genes that contribute to atherosclerosis. Conclusions Clonal hematopoiesis robustly associates with coronary heart disease in humans and causes accelerated atherosclerosis in mice.
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            Clonal hematopoiesis of indeterminate potential and its distinction from myelodysplastic syndromes.

            Recent genetic analyses of large populations have revealed that somatic mutations in hematopoietic cells leading to clonal expansion are commonly acquired during human aging. Clonally restricted hematopoiesis is associated with an increased risk of subsequent diagnosis of myeloid or lymphoid neoplasia and increased all-cause mortality. Although myelodysplastic syndromes (MDS) are defined by cytopenias, dysplastic morphology of blood and marrow cells, and clonal hematopoiesis, most individuals who acquire clonal hematopoiesis during aging will never develop MDS. Therefore, acquisition of somatic mutations that drive clonal expansion in the absence of cytopenias and dysplastic hematopoiesis can be considered clonal hematopoiesis of indeterminate potential (CHIP), analogous to monoclonal gammopathy of undetermined significance and monoclonal B-cell lymphocytosis, which are precursor states for hematologic neoplasms but are usually benign and do not progress. Because mutations are frequently observed in healthy older persons, detection of an MDS-associated somatic mutation in a cytopenic patient without other evidence of MDS may cause diagnostic uncertainty. Here we discuss the nature and prevalence of CHIP, distinction of this state from MDS, and current areas of uncertainty regarding diagnostic criteria for myeloid malignancies.
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              Disruption of TET2 promotes the therapeutic efficacy of CD19-targeted T cells

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                Author and article information

                Contributors
                Journal
                Blood Adv
                Blood Adv
                Blood Advances
                The American Society of Hematology
                2473-9529
                2473-9537
                27 September 2024
                10 December 2024
                27 September 2024
                : 8
                : 23
                : 5949-5956
                Affiliations
                [1 ]Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
                [2 ]Department of Medicine, University of Toronto, Toronto, ON, Canada
                [3 ]Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
                [4 ]Department of Medicine, Brigham and Women's Hospital, Boston, MA
                [5 ]Department of Medicine, Harvard Medical School, Boston, MA
                [6 ]Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
                [7 ]Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA
                [8 ]The Mina and Everard Goodman Faculty of Life Sciences, Ramat Gan, Israel
                [9 ]Broad Institute of MIT and Harvard, Cambridge, MA
                [10 ]Department of Pathology, Massachusetts General Hospital, Boston, MA
                [11 ]Krantz Family Center for Cancer Research and Dept. of Pathology, Massachusetts General Hospital, Boston, MA
                Author notes
                []Correspondence: Jennifer R. Brown, Department of Medical Oncology, Dana-Farber Cancer Institute, Mayer 226 44 Binney St, Boston, MA 02115; jennifer_brown@ 123456dfci.harvard.edu
                Article
                S2473-9529(24)00567-6
                10.1182/bloodadvances.2024013414
                11629178
                39321421
                fb99524f-79f1-49bb-a453-3e376158c04b
                © 2024 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution. All other rights reserved.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 15 April 2024
                : 15 September 2024
                Categories
                Clinical Trials and Observations

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