Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Correspondence
  • Published:

Identification and validation of seven genes, as potential markers, for the differential diagnosis of small B cell lymphomas (small lymphocytic lymphoma, marginal zone B cell lymphoma and mantle cell lymphoma) by cDNA macroarrays analysis

Leukemia volume 16, pages 2326–2329 (2002)Cite this article

Non-follicular small B cell lymphomas refer to a group of clonal proliferations of mature B cells. The most frequent non-follicular small B cell subtypes are B cell small lymphocytic lymphoma/chronic lymphocytic leukemia (B-SLL/CLL), marginal zone B cell lymphoma (MZL) and mantle cell lymphoma (MCL). In their typical forms, B-SLL/CLL, MZL and MCL are characterized by distinctive histological and cytological morphology, immunophenotype and cytogenetic abnormalities. However, in spite of this multifaceted characterization, the reliability of diagnosis is quite variable, ranging from 53% to 94%.1 The treatment and prognosis of these different diseases being quite variable, there is clearly a need for additional diagnostic markers specific to different lymphoma subtypes.

Cancer is a complex disease characterized by genotypic and phenotypic alterations that result in a variety of clinical manifestations. Microarrays is a new technology that allows the simultaneous analysis of genotypic modifications of thousands of genes in a given cell population. By profiling and comparing gene expression of different tumors, several studies have recently demonstrated the ability of this technology to attain a sharper diagnostic resolution based on a molecular understanding of disease, to establish new prognostic factors and to select targets for the development of tumor-specific drugs.2,3,4

This is a preview of subscription content, access via your institution

Access options

Buy this article

  • Purchase on Springer Link
  • Instant access to full article PDF
Buy now

Prices may be subject to local taxes which are calculated during checkout

Figure 1
Figure 2

References

  1. Armitage J, Weisenburger D . New approach to classifying non-Hodgkin's lymphomas: clinical features of the major histologic subtypes. Non-Hodgkin's Lymphoma Classification Project J Clin Oncol 1998 16: 2780–2795

    Article  CAS  Google Scholar 

  2. Golub T, Slonim D, Tamayo P, Huard C, Gaasenbeek M, Mesirov J, Coller H, Loh ML, Downing JP, Caligiuri MA, Blooomfield CD, Lander ES . Molecular classification of cancer: class discovery and class prediction by gene expression monitoring Science 1999 286: 531–537

    Article  CAS  Google Scholar 

  3. Alizadeh A, Eisen M, Davis R, Ma C, Lossos I, Rosenwald A, Boldrick JC, Sabet H, Tran T, Yu X, Powell JI, Yang L, Marti GE, Moore T, Hudson J Jr, Lu L, Lewis DB, Tibshirani R, Sherlock G, Chan WC, Greiner TC, Weisenburger DD, Armitage JO, Warnke R, Staudt LM . Distinct types of diffuse largeB cell lymphoma identified by gene expression profiling Nature 2000 403: 491–492

    Article  Google Scholar 

  4. Bittner M, Meltzer P, Chen Y, Jiang Y, Seftor E, Hendrix M, Radmacher M, Simon R, Yakhin Z, Ben-Dor A, Sampas N, Dougherty E, Wang E, Marincola F, Gooden C, Lueders J, Glatfelter A, Pollock P, Carpten J, Gillanders E, Leja D, Dietrich K, Beaudry C, Berens M, Alberts D, Sondak V . Molecular classification of cutaneous malignant melanoma by gene expression profiling Nature 2000 406: 536–540

    Article  CAS  Google Scholar 

  5. Wellmann A, Thieblemont C, Pittaluga S, Sakai A, Jaffe E, Siebert P, Raffeld M . Detection of differentially expressed genes in lymphomas using cDNA arrays: identification of clusterin as a new diagnostic marker for anaplastic large-cell lymphomas Blood 2000 96: 398–404

    CAS  Google Scholar 

  6. Shipp M, Ross K, Tamayo P, Weng A, Kutok J, Aguiar R, Gaasenbeek M, Angelo M, Reich M, Pinkus GS, Ray TS, Koval MA, Last KW, Norton A, Lister TA, Mesirov J, Neuberg DS, Lander ES, Aster JC, Golub TR . Diffuse largeB cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning Nat Med 2002 8: 68–74

    Article  CAS  Google Scholar 

  7. Stratowa C, Loffler G, Lichter P, Stilgenbauer S, Haberl P, Schweifer N, Dohner H, Wilgenbus KK . CDNA microarray gene expression analysis ofB cell chronic lymphocytic leukemia proposes potential new prognostic markers involved in lymphocyte trafficking Int J Cancer 2001 91: 474–480

    Article  CAS  Google Scholar 

  8. Voss T, Ahorn H, Haberl P, Dohner H, Wilgenbus K . Correlation of clinical data with proteomics profiles in 24 patients with B cell chronic lymphocytic leukemia Int J Cancer 2001 91: 180–186

    Article  CAS  Google Scholar 

Download references

Acknowledgements

Supported in part by the Ligue Contre le Cancer du Rhône, de l'Ardèche, de la Drôme and by the grant for the european mantle cell project No. QLRT-1999-30687.

Author information

Authors and Affiliations

  1. INSERM Unit 331, Laënnec Faculty of Medecine, Lyon, France

    C Thieblemont, K Chettab & JL McGregor

  2. Departments of Hematology, Hematological Biology and Pathology, Centre Hospitalier Lyon Sud, Pierre-Bénite, France

    C Thieblemont, P Felman, E Callet-Bauchu, A Traverse-Glehen, F Berger, C Dumontet, L Baseggio, G Salles & B Coiffier

  3. CNRS UMR 5014, Rockefeller Faculty of Medecine, Lyon, France

    C Cerutti & C Paultre

  4. Equipe Universitaire (JE 2267) Pathologie des Cellules Lymphoides, Claude Bernard University, Lyon, France

    P Felman, E Callet-Bauchu, A Traverse-Glehen, F Berger, L Baseggio, G Salles & B Coiffier

Authors
  1. C Thieblemont
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. K Chettab
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. P Felman
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. E Callet-Bauchu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. A Traverse-Glehen
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. F Berger
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. C Dumontet
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. C Cerutti
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. L Baseggio
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. G Salles
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. C Paultre
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. B Coiffier
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. JL McGregor
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Thieblemont, C., Chettab, K., Felman, P. et al. Identification and validation of seven genes, as potential markers, for the differential diagnosis of small B cell lymphomas (small lymphocytic lymphoma, marginal zone B cell lymphoma and mantle cell lymphoma) by cDNA macroarrays analysis. Leukemia 16, 2326–2329 (2002). https://doi.org/10.1038/sj.leu.2402691

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/sj.leu.2402691

This article is cited by

Search

Advanced search

Quick links