33
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Rise and fall of subclones from diagnosis to relapse in pediatric B-acute lymphoblastic leukaemia

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          There is incomplete understanding of genetic heterogeneity and clonal evolution during cancer progression. Here we use deep whole-exome sequencing to describe the clonal architecture and evolution of 20 pediatric B-acute lymphoblastic leukaemias from diagnosis to relapse. We show that clonal diversity is comparable at diagnosis and relapse and clonal survival from diagnosis to relapse is not associated with mutation burden. Six pathways were frequently mutated, with NT5C2, CREBBP, WHSC1, TP53, USH2A, NRAS and IKZF1 mutations enriched at relapse. Half of the leukaemias had multiple subclonal mutations in a pathway or gene at diagnosis, but mostly with only one, usually minor clone, surviving therapy to acquire additional mutations and become the relapse founder clone. Relapse-specific mutations in NT5C2 were found in nine cases, with mutations in four cases being in descendants of the relapse founder clone. These results provide important insights into the genetic basis of treatment failure in ALL and have implications for the early detection of mutations driving relapse.

          Abstract

          Genetic heterogeneity and clonal evolution contribute to cancer progression. Here Ma et al. use deep whole-exome sequencing to identify recurrently mutated pathways and clonal architecture in pediatric acute lymphoblastic leukaemia, shedding light on the evolutionary trajectory from diagnosis to relapse

          Related collections

          Most cited references13

          • Record: found
          • Abstract: found
          • Article: not found

          Clonal architecture of secondary acute myeloid leukemia.

          The myelodysplastic syndromes are a group of hematologic disorders that often evolve into secondary acute myeloid leukemia (AML). The genetic changes that underlie progression from the myelodysplastic syndromes to secondary AML are not well understood. We performed whole-genome sequencing of seven paired samples of skin and bone marrow in seven subjects with secondary AML to identify somatic mutations specific to secondary AML. We then genotyped a bone marrow sample obtained during the antecedent myelodysplastic-syndrome stage from each subject to determine the presence or absence of the specific somatic mutations. We identified recurrent mutations in coding genes and defined the clonal architecture of each pair of samples from the myelodysplastic-syndrome stage and the secondary-AML stage, using the allele burden of hundreds of mutations. Approximately 85% of bone marrow cells were clonal in the myelodysplastic-syndrome and secondary-AML samples, regardless of the myeloblast count. The secondary-AML samples contained mutations in 11 recurrently mutated genes, including 4 genes that have not been previously implicated in the myelodysplastic syndromes or AML. In every case, progression to acute leukemia was defined by the persistence of an antecedent founding clone containing 182 to 660 somatic mutations and the outgrowth or emergence of at least one subclone, harboring dozens to hundreds of new mutations. All founding clones and subclones contained at least one mutation in a coding gene. Nearly all the bone marrow cells in patients with myelodysplastic syndromes and secondary AML are clonally derived. Genetic evolution of secondary AML is a dynamic process shaped by multiple cycles of mutation acquisition and clonal selection. Recurrent gene mutations are found in both founding clones and daughter subclones. (Funded by the National Institutes of Health and others.).
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Treatment reduction for children and young adults with low-risk acute lymphoblastic leukaemia defined by minimal residual disease (UKALL 2003): a randomised controlled trial.

            Minimal residual disease (MRD) is the most sensitive and specific predictor of relapse risk in children with acute lymphoblastic leukaemia (ALL) during remission. We assessed whether treatment intensity could be adjusted for children and young adults according to MRD risk stratification. Between Oct 1, 2003 and June 30, 2011, consecutive children and young adults (aged 1-25 years) with ALL from the UK and Ireland were recruited. Eligible patients were categorised into clinical standard, intermediate, and high risk groups on the basis of a combination of National Cancer Institute (NCI) criteria, cytogenetics, and early response to induction therapy, which was assessed by bone marrow blast counts taken at days 8 (NCI high-risk patients) and 15 (NCI standard-risk patients) after induction began. Clinical standard-risk and intermediate-risk patients were assessed for MRD. Those classified as MRD low risk (undetectable MRD at the end of induction [day 29] or detectable MRD at day 29 that became undetectable by week 11) were randomly assigned to receive one or two delayed intensification courses. Patients had received induction, consolidation, and interim maintenance therapy before they began delayed intensification. Delayed intensification consisted of pegylated asparaginase on day 4; vincristine, dexamethasone (alternate weeks), and doxorubicin for 3 weeks; and 4 weeks of cyclophosphamide and cytarabine. Computer randomisation was done with stratification by MRD result and balancing for sex, age, and white blood cell count at diagnosis by method of minimisation. Patients, clinicians, and data analysts were not masked to treatment allocation. The primary outcome was event-free survival (EFS), which was defined as time to relapse, secondary tumour, or death. Our aim was to rule out a 7% reduction in EFS in the group given one delayed intensification course relative to that given two delayed intensification courses. Analyses were by intention to treat. This trial is registered, number ISRCTN07355119. Of 3207 patients registered in the trial overall, 521 MRD low-risk patients were randomly assigned to receive one (n=260) or two (n=261) delayed intensification courses. Median follow-up of these patients was 57 months (IQR 42-72). We recorded no significant difference in EFS between the group given one delayed intensification (94·4% at 5 years, 95% CI 91·1-97·7) and that given two delayed intensifications (95·5%, 92·8-98·2; unadjusted odds ratio 1·00, 95% CI 0·43-2·31; two-sided p=0·99). The difference in 5-year EFS between the two groups was 1·1% (95% CI -5·6 to 2·5). 11 patients (actuarial relapse at 5 years 5·6%, 95% CI 2·3-8·9) given one delayed intensification and six (2·4%, 0·2-4·6) given two delayed intensifications relapsed (p=0·23). Three patients (1·2%, 0-2·6) given two delayed intensifications died of treatment-related causes compared with none in the group given one delayed intensification (p=0·08). We recorded no significant difference between groups for serious adverse events and grade 3 or 4 toxic effects; however, the second delayed intensification course was associated with one (<1%) treatment-related death, and 74 episodes of grade 3 or 4 toxic effects in 45 patients (17%). Treatment reduction is feasible for children and young adults with ALL who are predicted to have a low risk of relapse on the basis of rapid clearance of MRD by the end of induction therapy. Medical Research Council and Leukaemia and Lymphoma Research. Copyright © 2013 Elsevier Ltd. All rights reserved.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Pediatric acute lymphoblastic leukemia: where are we going and how do we get there?

              Improved supportive care, more precise risk stratification, and personalized chemotherapy based on the characteristics of leukemic cells and hosts (eg, pharmacokinetics and pharmacogenetics) have pushed the cure rate of childhood acute lymphoblastic leukemia to near 90%. Further increase in cure rate can be expected from the discovery of additional recurrent molecular lesions, coupled with the development of novel targeted treatment through high-throughput genomics and innovative drug-screening systems. We discuss specific areas of research that promise to further refine current treatment and to improve the cure rate and quality of life of the patients.
                Bookmark

                Author and article information

                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Pub. Group
                2041-1723
                19 March 2015
                : 6
                : 6604
                Affiliations
                [1 ]Computational Biology, St Jude Children’s Research Hospital , Memphis, Tennessee 38105, USA
                [2 ]Pediatric Cancer Genome Project Validation Lab, St Jude Children’s Research Hospital , Memphis, Tennessee 38105, USA
                [3 ]Cancer Genomics, Human Genome Sequencing Center, Baylor College of Medicine , Houston, Texas 77030, USA
                [4 ]Pathology, St Jude Children’s Research Hospital , Memphis, Tennessee 38105, USA
                [5 ]University of New Mexico Cancer Center , Albuquerque, New Mexico 87131, USA
                [6 ]Perlmutter Cancer Center, NYU Langone Medical Center , New York, NY 10016, USA
                [7 ]Department of Pathology and Laboratory Medicine, Nationwide Children's Hospital , Columbus, Ohio 43205, USA
                [8 ]Departments of Pathology and Pediatrics, The Ohio State University , Columbus, Ohio 43210, USA
                [9 ]Department of Pharmaceutical Sciences, St Jude Children’s Research Hospital , Memphis, Tennessee 38105, USA
                [10 ]Cancer Therapy Evaluation Program, National Cancer Institute , Bethesda, Maryland 20892, USA
                [11 ]Department of Biostatistics, Colleges of Medicine, Public Health & Health Professions, University of Florida , Gainesville, Florida 32607, USA
                [12 ]Office of Cancer Genomics, National Cancer Institute , Bethesda, Maryland 20892, USA
                [13 ]Department of Pediatrics, Benioff Children’s Hospital and the Helen Diller Family Comprehensive Cancer Center, University of California San Francisco , San Francisco, California 94143, USA
                [14 ]Division of Oncology and The Center for Childhood Cancer Research, Children’s Hospital of Philadelphia , Philadelphia, Pennsylvania 19104, USA
                Author notes
                Author information
                http://orcid.org/0000-0002-1678-5864
                http://orcid.org/0000-0002-1871-1850
                Article
                ncomms7604
                10.1038/ncomms7604
                4377644
                25790293
                a4991979-0058-4bbe-8c18-9ca31f02fc0e
                Copyright © 2015, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 04 December 2014
                : 11 February 2015
                Categories
                Article

                Uncategorized
                Uncategorized

                Comments

                Comment on this article