100
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Mutations driving CLL and their evolution in progression and relapse

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      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.

          SUMMARY

          Which genetic alterations drive tumorigenesis and how they evolve over the course of disease and therapy are central questions in cancer biology. We identify 44 recurrently mutated genes and 11 recurrent somatic copy number variations through whole-exome sequencing of 538 chronic lymphocytic leukemia (CLL) and matched germline DNA samples, 278 of which were collected in a prospective clinical trial. These include previously unrecognized cancer drivers ( RPS15, IKZF3) and collectively identify RNA processing and export, MYC activity and MAPK signaling as central pathways involved in CLL. Clonality analysis of this large dataset further enabled reconstruction of temporal relationships between driver events. Direct comparison between matched pre-treatment and relapse samples from 59 patients demonstrated highly frequent clonal evolution. Thus, large sequencing datasets of clinically informative samples enable the discovery of novel cancer genes and the network of relationships between the driver events and their impact on disease relapse and clinical outcome.

          Related collections

          Most cited references21

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

          Accumulation of driver and passenger mutations during tumor progression.

          Major efforts to sequence cancer genomes are now occurring throughout the world. Though the emerging data from these studies are illuminating, their reconciliation with epidemiologic and clinical observations poses a major challenge. In the current study, we provide a mathematical model that begins to address this challenge. We model tumors as a discrete time branching process that starts with a single driver mutation and proceeds as each new driver mutation leads to a slightly increased rate of clonal expansion. Using the model, we observe tremendous variation in the rate of tumor development-providing an understanding of the heterogeneity in tumor sizes and development times that have been observed by epidemiologists and clinicians. Furthermore, the model provides a simple formula for the number of driver mutations as a function of the total number of mutations in the tumor. Finally, when applied to recent experimental data, the model allows us to calculate the actual selective advantage provided by typical somatic mutations in human tumors in situ. This selective advantage is surprisingly small--0.004 ± 0.0004--and has major implications for experimental cancer research.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The role of chromosomal instability in tumor initiation.

            Chromosomal instability (CIN) is a defining characteristic of most human cancers. Mutation of CIN genes increases the probability that whole chromosomes or large fractions of chromosomes are gained or lost during cell division. The consequence of CIN is an imbalance in the number of chromosomes per cell (aneuploidy) and an enhanced rate of loss of heterozygosity. A major question of cancer genetics is to what extent CIN, or any genetic instability, is an early event and consequently a driving force for tumor progression. In this article, we develop a mathematical framework for studying the effect of CIN on the somatic evolution of cancer. Specifically, we calculate the conditions for CIN to initiate the process of colorectal tumorigenesis before the inactivation of tumor suppressor genes.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Ribosomal protein L5 and L11 mutations are associated with cleft palate and abnormal thumbs in Diamond-Blackfan anemia patients.

              Diamond-Blackfan anemia (DBA), a congenital bone-marrow-failure syndrome, is characterized by red blood cell aplasia, macrocytic anemia, clinical heterogeneity, and increased risk of malignancy. Although anemia is the most prominent feature of DBA, the disease is also characterized by growth retardation and congenital anomalies that are present in approximately 30%-50% of patients. The disease has been associated with mutations in four ribosomal protein (RP) genes, RPS19, RPS24, RPS17, and RPL35A, in about 30% of patients. However, the genetic basis of the remaining 70% of cases is still unknown. Here, we report the second known mutation in RPS17 and probable pathogenic mutations in three more RP genes, RPL5, RPL11, and RPS7. In addition, we identified rare variants of unknown significance in three other genes, RPL36, RPS15, and RPS27A. Remarkably, careful review of the clinical data showed that mutations in RPL5 are associated with multiple physical abnormalities, including craniofacial, thumb, and heart anomalies, whereas isolated thumb malformations are predominantly present in patients carrying mutations in RPL11. We also demonstrate that mutations of RPL5, RPL11, or RPS7 in DBA cells is associated with diverse defects in the maturation of ribosomal RNAs in the large or the small ribosomal subunit production pathway, expanding the repertoire of ribosomal RNA processing defects associated with DBA.
                Bookmark

                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                18 August 2015
                14 October 2015
                22 October 2015
                22 April 2016
                : 526
                : 7574
                : 525-530
                Affiliations
                [1 ] Broad Institute of Harvard and MIT, Cambridge, MA
                [2 ] Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
                [3 ] Department of Internal Medicine, Brigham and Women's Hospital, Boston, MA
                [4 ] Harvard Medical School, Boston MA
                [5 ] Department of Internal Medicine III, Ulm University, Ulm, Germany
                [6 ] IST Austria (Institute of Science and Technology Austria), Klosterneuburg, Austria
                [7 ] Department I of Internal Medicine and Center of Integrated Oncology Cologne Bonn, University Hospital, Cologne, Germany
                [8 ] Program for Evolutionary Dynamics, Harvard University, Cambridge, MA
                [9 ] Department of Mathematics, Harvard University, Cambridge, MA
                [10 ] Department of Internal Medicine II, University Hospital of Schleswig-Holstein, Campus Kiel, Kiel, Germany
                [11 ] Joint Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02215, USA
                [12 ] German Cancer Research Center (DKFZ), Heidelberg, Germany
                [13 ] German CLL Study Group, central office, Cologne.
                [14 ] Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA
                [15 ] Cologne Cluster of Excellence in Cellular Stress Responses in Aging-associated Diseases (CECAD).
                [16 ] Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA
                [17 ] Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
                Author notes
                [*]

                co-first author

                [**]

                co-senior author

                []Correspondence to: 1. Catherine J. Wu, MD, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston MA, USA 02215, cwu@ 123456partners.org , 2. Stephan Stilgenbauer MD, Department of Internal Medicine III, Ulm University, Ulm, Germany, Stephan.Stilgenbauer@ 123456uniklinik-ulm.de , 3. Gad Getz PhD, Broad Institute, Cambridge MA, gadgetz@ 123456broadinstitute.org
                Article
                NIHMS715090
                10.1038/nature15395
                4815041
                26466571
                4471175f-0f83-4503-81ec-d1587fc8f1b3

                Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

                History
                Categories
                Article

                Uncategorized
                Uncategorized

                Comments

                Comment on this article