Literature DB >> 19074592

Customized oligonucleotide array-based comparative genomic hybridization as a clinical assay for genomic profiling of chronic lymphocytic leukemia.

Rachel Sargent1, Dan Jones1, Lynne V Abruzzo1, Hui Yao2, Jaime Bonderover1, Marissa Cisneros1, William G Wierda3, Michael J Keating3, Rajyalakshmi Luthra4.   

Abstract

Chromosome gains and losses used for risk stratification in chronic lymphocytic leukemia (CLL) are commonly assessed by multiprobe fluorescence in situ hybridization (FISH) studies. We designed and validated a customized array-comparative genomic hybridization (aCGH) platform as a clinical assay for CLL genomic profiling. A 60-mer, 44,000-probe oligonucleotide array with a 50-kb average spatial resolution was augmented with high-density probe tiling at loci that are frequently aberrant in CLL. Aberrations identified by aCGH were compared with those identified by a FISH panel, including locus-specific probes to ATM (11q22.3), the centromeric region of chromosome 12 (12p11.1-q11), D13S319 (13q14.3), LAMP1 (13q34), and TP53 (17p13.1). In 100 CLL samples, aCGH/FISH concordance was seen for 89% of FISH-called aberrations at the ATM (n=18), D13S319 (n=42), LAMP (n=12), and TP53 (n=22) loci and for chromosome 12 (n=14). Eighty-four percentage of FISH/aCGH discordant calls were in samples either at or below the limit of aCGH sensitivity (10% to 25% FISH aberration-containing cells). Therefore, aCGH profiling is a feasible routine clinical test with comparable results to multiprobe FISH studies; however, it may be less sensitive than FISH in cases with low-level aberrations. Further, a customized array design can provide comprehensive genomic profiling with additional accuracy in both identifying and defining the extent of small aberrations at target loci.

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Year:  2008        PMID: 19074592      PMCID: PMC2607562          DOI: 10.2353/jmoldx.2009.080037

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  45 in total

1.  CD38 expression and immunoglobulin variable region mutations are independent prognostic variables in chronic lymphocytic leukemia, but CD38 expression may vary during the course of the disease.

Authors:  Terry J Hamblin; Jenny A Orchard; Rachel E Ibbotson; Zadie Davis; Peter W Thomas; Freda K Stevenson; David G Oscier
Journal:  Blood       Date:  2002-02-01       Impact factor: 22.113

2.  Analysis of clonal B-cell CD38 and immunoglobulin variable region sequence status in relation to clinical outcome for B-chronic lymphocytic leukaemia.

Authors:  D F Jelinek; R C Tschumper; S M Geyer; N D Bone; G W Dewald; C A Hanson; M J Stenson; T E Witzig; A Tefferi; N E Kay
Journal:  Br J Haematol       Date:  2001-12       Impact factor: 6.998

Review 3.  Genetics of chronic lymphocytic leukemia: genomic aberrations and V(H) gene mutation status in pathogenesis and clinical course.

Authors:  S Stilgenbauer; L Bullinger; P Lichter; H Döhner
Journal:  Leukemia       Date:  2002-06       Impact factor: 11.528

4.  Multivariate analysis of prognostic factors in CLL: clinical stage, IGVH gene mutational status, and loss or mutation of the p53 gene are independent prognostic factors.

Authors:  David G Oscier; Anne C Gardiner; Sarah J Mould; Sharron Glide; Zadie A Davis; Rachel E Ibbotson; Martin M Corcoran; Robert M Chapman; Peter W Thomas; J Adrian Copplestone; Jenny A Orchard; Terry J Hamblin
Journal:  Blood       Date:  2002-08-15       Impact factor: 22.113

5.  V(H) mutation status, CD38 expression level, genomic aberrations, and survival in chronic lymphocytic leukemia.

Authors:  Alexander Kröber; Till Seiler; Axel Benner; Lars Bullinger; Elsbeth Brückle; Peter Lichter; Hartmut Döhner; Stephan Stilgenbauer
Journal:  Blood       Date:  2002-08-15       Impact factor: 22.113

6.  CD38 expression as an important prognostic factor in B-cell chronic lymphocytic leukemia.

Authors:  S Ibrahim; M Keating; K A Do; S O'Brien; Y O Huh; I Jilani; S Lerner; H M Kantarjian; M Albitar
Journal:  Blood       Date:  2001-07-01       Impact factor: 22.113

7.  Genomic aberrations and survival in chronic lymphocytic leukemia.

Authors:  H Döhner; S Stilgenbauer; A Benner; E Leupolt; A Kröber; L Bullinger; K Döhner; M Bentz; P Lichter
Journal:  N Engl J Med       Date:  2000-12-28       Impact factor: 91.245

8.  A 3-cM commonly deleted region in 6q21 in leukemias and lymphomas delineated by fluorescence in situ hybridization.

Authors:  Y Zhang; P Matthiesen; S Harder; R Siebert; G Castoldi; M J Calasanz; K F Wong; A Rosenwald; G Ott; N B Atkin; B Schlegelberger
Journal:  Genes Chromosomes Cancer       Date:  2000-01       Impact factor: 5.006

9.  Incidence and clinical significance of 6q deletions in B cell chronic lymphocytic leukemia.

Authors:  S Stilgenbauer; L Bullinger; A Benner; K Wildenberger; M Bentz; K Döhner; A D Ho; P Lichter; H Döhner
Journal:  Leukemia       Date:  1999-09       Impact factor: 11.528

10.  Relation of gene expression phenotype to immunoglobulin mutation genotype in B cell chronic lymphocytic leukemia.

Authors:  A Rosenwald; A A Alizadeh; G Widhopf; R Simon; R E Davis; X Yu; L Yang; O K Pickeral; L Z Rassenti; J Powell; D Botstein; J C Byrd; M R Grever; B D Cheson; N Chiorazzi; W H Wilson; T J Kipps; P O Brown; L M Staudt
Journal:  J Exp Med       Date:  2001-12-03       Impact factor: 14.307

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  15 in total

Review 1.  Genetic alterations in chronic lymphocytic leukaemia.

Authors:  Llorenç Coll-Mulet; Joan Gil
Journal:  Clin Transl Oncol       Date:  2009-04       Impact factor: 3.405

2.  The vanguard has arrived in the clinical laboratory: array-based karyotyping for prognostic markers in chronic lymphocytic leukemia.

Authors:  Shelly R Gunn
Journal:  J Mol Diagn       Date:  2010-01-14       Impact factor: 5.568

3.  Array-based karyotyping for prognostic assessment in chronic lymphocytic leukemia: performance comparison of Affymetrix 10K2.0, 250K Nsp, and SNP6.0 arrays.

Authors:  Jill M Hagenkord; Federico A Monzon; Shera F Kash; Stan Lilleberg; Qingmei Xie; Jeffrey A Kant
Journal:  J Mol Diagn       Date:  2010-01-14       Impact factor: 5.568

Review 4.  Clinical application of array-based comparative genomic hybridization for the identification of prognostically important genetic alterations in chronic lymphocytic leukemia.

Authors:  Russell A Higgins; Shelly R Gunn; Ryan S Robetorye
Journal:  Mol Diagn Ther       Date:  2008       Impact factor: 4.074

Review 5.  Massively parallel sequencing: the next big thing in genetic medicine.

Authors:  Tracy Tucker; Marco Marra; Jan M Friedman
Journal:  Am J Hum Genet       Date:  2009-08       Impact factor: 11.025

6.  Identification of clinically important chromosomal aberrations in acute myeloid leukemia by array-based comparative genomic hybridization.

Authors:  Meenakshi Mehrotra; Rajyalakshmi Luthra; Farhad Ravandi; Rachel L Sargent; Bedia A Barkoh; Ronald Abraham; Bal Mukund Mishra; L Jeffrey Medeiros; Keyur P Patel
Journal:  Leuk Lymphoma       Date:  2014-11

7.  Array comparative genomic hybridization analysis identifies recurrent gain of chromosome 2p25.3 involving the ACP1 and MYCN genes in chronic lymphocytic leukemia.

Authors:  Deqin Ma; Zhao Chen; Keyur P Patel; Bal M Mishra; Hui Yao; Lynne V Abruzzo; L Jeffrey Medeiros; William Wierda; Michael Keating; Rachel Sargent; Rajyalakshmi Luthra
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2011-05-05

8.  Rapid high-resolution mapping of balanced chromosomal rearrangements on tiling CGH arrays.

Authors:  Harvey A Greisman; Noah G Hoffman; Hye Son Yi
Journal:  J Mol Diagn       Date:  2011-09-09       Impact factor: 5.568

9.  Detection of high-frequency and novel DNMT3A mutations in acute myeloid leukemia by high-resolution melting curve analysis.

Authors:  Rajesh R Singh; Ashish Bains; Keyur P Patel; Hamed Rahimi; Bedia A Barkoh; Abhaya Paladugu; Tigist Bisrat; Farhad Ravandi-Kashani; Jorge E Cortes; Hagop M Kantarjian; L Jeffrey Medeiros; Rajyalakshmi Luthra
Journal:  J Mol Diagn       Date:  2012-05-27       Impact factor: 5.341

10.  The application of massively parallel sequencing technologies in diagnostics.

Authors:  Andreas Dahl; Florian Mertes; Bernd Timmermann; Hans Lehrach
Journal:  F1000 Biol Rep       Date:  2010-08-09
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