Literature DB >> 19029149

The potential of copy number gains and losses, detected by array-based comparative genomic hybridization, for computational differential diagnosis of B-cell lymphomas and genetic regions involved in lymphomagenesis.

Ichiro Takeuchi1, Hiroyuki Tagawa, Akira Tsujikawa, Masao Nakagawa, Miyuki Katayama-Suguro, Ying Guo, Masao Seto.   

Abstract

BACKGROUND: The differentiation of biologically and clinically different malignant lymphoma diseases or subtypes is crucial because it leads to better prognostication and therapeutic decision-making. Attempts have been made at subtype classification for diagnosing lymphomas on the basis of gene-expression profiling. Although array-based comparative genomic hybridization (array CGH) has identified a characteristic genomic alteration pattern for each disease entity, it has not been clear whether each patient with certain genomic alterations can be classified by array CGH data. DESIGN AND METHODS: Data on copy number gains and losses for 46 diffuse large B-cell lymphomas and 29 mantle cell lymphomas were used. The gene expressions of the diffuse large B-cell lymphomas cases were profiled and hierarchical clustering revealed that 28 of them were of the activated B-cell type and 18 were of the germinal center-B-cell type. Using these data, we developed a computer algorithm to classify lymphoma diseases or subtypes on the basis of copy number gains and losses.
RESULTS: The method correctly classified 88% of the diffuse large B-cell lymphomas and mantle cell lymphomas, and 83% of the activated B-cell and germinal center-B-cell subtypes. These results demonstrate that copy number gains and losses detected by array CGH can be used for classifying lymphomas into biologically and clinically distinct diseases or subtypes.
CONCLUSIONS: Our computer algorithm based on array CGH data successfully classified diffuse large B-cell lymphomas and mantle cell lymphomas and activated B-cell and germinal center-B-cell subtypes with high accuracy. An important finding is that the regions automatically identified by the computer algorithm were located in the critical regions that are likely to be involved in the development of lymphoma.

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Year:  2008        PMID: 19029149      PMCID: PMC2625430          DOI: 10.3324/haematol.12986

Source DB:  PubMed          Journal:  Haematologica        ISSN: 0390-6078            Impact factor:   9.941


  24 in total

1.  Molecular diagnosis of Burkitt's lymphoma.

Authors:  Sandeep S Dave; Kai Fu; George W Wright; Lloyd T Lam; Philip Kluin; Evert-Jan Boerma; Timothy C Greiner; Dennis D Weisenburger; Andreas Rosenwald; German Ott; Hans-Konrad Müller-Hermelink; Randy D Gascoyne; Jan Delabie; Lisa M Rimsza; Rita M Braziel; Thomas M Grogan; Elias Campo; Elaine S Jaffe; Bhavana J Dave; Warren Sanger; Martin Bast; Julie M Vose; James O Armitage; Joseph M Connors; Erlend B Smeland; Stein Kvaloy; Harald Holte; Richard I Fisher; Thomas P Miller; Emilio Montserrat; Wyndham H Wilson; Manisha Bahl; Hong Zhao; Liming Yang; John Powell; Richard Simon; Wing C Chan; Louis M Staudt
Journal:  N Engl J Med       Date:  2006-06-08       Impact factor: 91.245

2.  The proliferation gene expression signature is a quantitative integrator of oncogenic events that predicts survival in mantle cell lymphoma.

Authors:  Andreas Rosenwald; George Wright; Adrian Wiestner; Wing C Chan; Joseph M Connors; Elias Campo; Randy D Gascoyne; Thomas M Grogan; H Konrad Muller-Hermelink; Erlend B Smeland; Michael Chiorazzi; Jena M Giltnane; Elaine M Hurt; Hong Zhao; Lauren Averett; Sarah Henrickson; Liming Yang; John Powell; Wyndham H Wilson; Elaine S Jaffe; Richard Simon; Richard D Klausner; Emilio Montserrat; Francesc Bosch; Timothy C Greiner; Dennis D Weisenburger; Warren G Sanger; Bhavana J Dave; James C Lynch; Julie Vose; James O Armitage; Richard I Fisher; Thomas P Miller; Michael LeBlanc; German Ott; Stein Kvaloy; Harald Holte; Jan Delabie; Louis M Staudt
Journal:  Cancer Cell       Date:  2003-02       Impact factor: 31.743

3.  Multiclass cancer diagnosis using tumor gene expression signatures.

Authors:  S Ramaswamy; P Tamayo; R Rifkin; S Mukherjee; C H Yeang; M Angelo; C Ladd; M Reich; E Latulippe; J P Mesirov; T Poggio; W Gerald; M Loda; E S Lander; T R Golub
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-11       Impact factor: 11.205

4.  Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling.

Authors:  A A Alizadeh; M B Eisen; R E Davis; C Ma; I S Lossos; A Rosenwald; J C Boldrick; H Sabet; T Tran; X Yu; J I Powell; L Yang; G E Marti; T Moore; J Hudson; L Lu; D B Lewis; R Tibshirani; G Sherlock; W C Chan; T C Greiner; D D Weisenburger; J O Armitage; R Warnke; R Levy; W Wilson; M R Grever; J C Byrd; D Botstein; P O Brown; L M Staudt
Journal:  Nature       Date:  2000-02-03       Impact factor: 49.962

5.  Array-based comparative genomic hybridization for the differential diagnosis of renal cell cancer.

Authors:  Mónica Wilhelm; Joris A Veltman; Adam B Olshen; Ajay N Jain; Dan H Moore; Joe C Presti; Gyula Kovacs; Frederic M Waldman
Journal:  Cancer Res       Date:  2002-02-15       Impact factor: 12.701

6.  Chromosomal imbalances are associated with outcome of Helicobacter pylori eradication in t(11;18)(q21;q21) negative gastric mucosa-associated lymphoid tissue lymphomas.

Authors:  Noriko Fukuhara; Tsuneya Nakamura; Masao Nakagawa; Hiroyuki Tagawa; Ichiro Takeuchi; Yasushi Yatabe; Yasuo Morishima; Shigeo Nakamura; Masao Seto
Journal:  Genes Chromosomes Cancer       Date:  2007-08       Impact factor: 5.006

Review 7.  Genetic and molecular pathogenesis of mantle cell lymphoma: perspectives for new targeted therapeutics.

Authors:  Pedro Jares; Dolors Colomer; Elias Campo
Journal:  Nat Rev Cancer       Date:  2007-10       Impact factor: 60.716

8.  The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma.

Authors:  Andreas Rosenwald; George Wright; Wing C Chan; Joseph M Connors; Elias Campo; Richard I Fisher; Randy D Gascoyne; H Konrad Muller-Hermelink; Erlend B Smeland; Jena M Giltnane; Elaine M Hurt; Hong Zhao; Lauren Averett; Liming Yang; Wyndham H Wilson; Elaine S Jaffe; Richard Simon; Richard D Klausner; John Powell; Patricia L Duffey; Dan L Longo; Timothy C Greiner; Dennis D Weisenburger; Warren G Sanger; Bhavana J Dave; James C Lynch; Julie Vose; James O Armitage; Emilio Montserrat; Armando López-Guillermo; Thomas M Grogan; Thomas P Miller; Michel LeBlanc; German Ott; Stein Kvaloy; Jan Delabie; Harald Holte; Peter Krajci; Trond Stokke; Louis M Staudt
Journal:  N Engl J Med       Date:  2002-06-20       Impact factor: 91.245

9.  Identification of subtype-specific genomic alterations in aggressive adult T-cell leukemia/lymphoma.

Authors:  Aya Oshiro; Hiroyuki Tagawa; Koichi Ohshima; Kennosuke Karube; Naokuni Uike; Yukie Tashiro; Atae Utsunomiya; Masato Masuda; Nobuyuki Takasu; Shigeo Nakamura; Yasuo Morishima; Masao Seto
Journal:  Blood       Date:  2006-02-16       Impact factor: 22.113

10.  Gain of chromosome region 18q21 including the MALT1 gene is associated with the activated B-cell-like gene expression subtype and increased BCL2 gene dosage and protein expression in diffuse large B-cell lymphoma.

Authors:  Judith Dierlamm; Eva M Murga Penas; Stefan Bentink; Swen Wessendorf; Hilmar Berger; Michael Hummel; Wolfram Klapper; Dido Lenze; Andreas Rosenwald; Eugenia Haralambieva; German Ott; Sergio B Cogliatti; Peter Möller; Carsten Schwaenen; Harald Stein; Markus Löffler; Rainer Spang; Lorenz Trümper; Reiner Siebert
Journal:  Haematologica       Date:  2008-03-26       Impact factor: 9.941

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  7 in total

1.  Refining tumor-associated aneuploidy through 'genomic recoding' of recurrent DNA copy number aberrations in 150 canine non-Hodgkin lymphomas.

Authors:  Rachael Thomas; Eric L Seiser; Alison Motsinger-Reif; Luke Borst; Victor E Valli; Kathryn Kelley; Steven E Suter; David Argyle; Kristine Burgess; Jerold Bell; Kerstin Lindblad-Toh; Jaime F Modiano; Matthew Breen
Journal:  Leuk Lymphoma       Date:  2011-03-07

2.  Detection of Local DNA Copy Number Changes in Lung Cancer Population Analyses Using A Multi-Scale Approach.

Authors:  Nezamoddin N Kachouie; Xihong Lin; David C Christiani; Armin Schwartzman
Journal:  Commun Stat Case Stud Data Anal Appl       Date:  2016-07-18

Review 3.  Genomic profiles in B cell lymphoma.

Authors:  Masao Seto
Journal:  Int J Hematol       Date:  2010-08-27       Impact factor: 2.490

4.  Gastrointestinal B-cell lymphomas: From understanding B-cell physiology to classification and molecular pathology.

Authors:  Xavier Sagaert; Thomas Tousseyn; Rhonda K Yantiss
Journal:  World J Gastrointest Oncol       Date:  2012-12-15

5.  Specific genomic regions are differentially affected by copy number alterations across distinct cancer types, in aggregated cytogenetic data.

Authors:  Nitin Kumar; Haoyang Cai; Christian von Mering; Michael Baudis
Journal:  PLoS One       Date:  2012-08-24       Impact factor: 3.240

6.  Array-based comparative genomic hybridization analysis reveals chromosomal copy number aberrations associated with clinical outcome in canine diffuse large B-cell lymphoma.

Authors:  Arianna Aricò; Serena Ferraresso; Silvia Bresolin; Laura Marconato; Stefano Comazzi; Geertruy Te Kronnie; Luca Aresu
Journal:  PLoS One       Date:  2014-11-05       Impact factor: 3.240

7.  Deregulation of COMMD1 is associated with poor prognosis in diffuse large B-cell lymphoma.

Authors:  Minna Taskinen; Riku Louhimo; Satu Koivula; Ping Chen; Ville Rantanen; Harald Holte; Jan Delabie; Marja-Liisa Karjalainen-Lindsberg; Magnus Björkholm; Øystein Fluge; Lars Møller Pedersen; Karin Fjordén; Mats Jerkeman; Mikael Eriksson; Sampsa Hautaniemi; Sirpa Leppä
Journal:  PLoS One       Date:  2014-03-13       Impact factor: 3.240

  7 in total

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