Spectral karyotyping identifies new rearrangements, translocations, and clinical associations in diffuse large B-cell lymphoma Academic Article Article uri icon

Overview

MeSH Major

  • Brain Neoplasms
  • Lymphoma, Non-Hodgkin

abstract

  • Diffuse large B-cell lymphoma (DLBCL), a histologically well-defined subset of non-Hodgkin lymphoma, is clinically and genetically heterogenous. By G-banding, most cases showed complex hyperdiploid karyotypes and diverse cytogenetic abnormalities that included recurring and nonrecurring translocations, deletions, duplications, and marker chromosomes. While G-banding provided valuable leads to identification of specific rearrangements that enabled gene discovery and clinical correlations, many aberrations remained uncharacterized because of their complexity. The molecular cytogenetic technique spectral karyotyping (SKY), on the other hand, enables complete characterization of all aberrations in a tumor cell karyotype and, hence, precise quantitation of chromosome instability. We report here, for the first time, SKY analysis of a panel of 46 DLBCL cases previously analyzed by G-banding, ascertained at the Memorial Sloan-Kettering Cancer Center. This analysis provided a cytogenetic profile of DLBCL that was characterized by a higher level of instability, qualitatively as well as quantitatively, compared with G-banding. Thus, 551 breakpoints were detected by SKY, in contrast to the 295 by G-banding. Several new recurring breakpoints, translocations, and regions of gain and loss were identified, which included 13 breakpoints not previously identified by G-banding, 10 breakpoints that were underrepresented by G-banding, and 4 previously unrecognized translocations: der(14)t(3;14)(q21;q32), t(1;13)(p32;q14), t(1;7)(q21;q22), and der(6)t(6;8)(q11;q11). We identified new clinical associations involving recurring breakpoints detected by SKY. These studies emphasize the value of SKY analysis for redefinition of chromosomal instability in DLBCL to enhance gene discovery as well as clinical correlation analysis.

publication date

  • April 2002

Research

keywords

  • Academic Article

Identity

Digital Object Identifier (DOI)

  • 10.1182/blood.V99.7.2554

PubMed ID

  • 11895793

Additional Document Info

start page

  • 2554

end page

  • 61

volume

  • 99

number

  • 7