A new diagnostic algorithm for burkitt and diffuse large B-cell lymphomas based on the expression of CSE1L and STAT3 and on MYC rearrangement predicts outcome

D. Soldini, C. Montagna, P. Schüffler, V. Martin, A. Georgis, T. Thiesler, A. Curioni-fontecedro, P. Went, G. Bosshard, S. Dehler, L. Mazzuchelli, M. Tinguely

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Aggressive mature B-cell non-Hodgkin's lymphomas (BCL) sharing features of Burkitt's lymphoma (BL) and diffuse large B-cell lymphoma (DLBCL) (intermediate BL/DLBCL) but deviating with respect to one or more characteristics are increasinglyrecognized. The limited knowledge about these biologically heterogeneous lymphomas hampers their assignment to a known entity, raising incertitude about optimal treatment approaches. We therefore searched for discriminative, prognostic, and predictive factors for their better characterization. Patients and methods: We analyzed 242 cytogenetically defined aggressive mature BCL for differential protein expression.Marker selection was based on recent gene-expression profile studies. Predictive models for diagnosis were established and validated by a different set of lymphomas. Results: CSE1L- and inhibitorof DNA binding-3 (ID3)-overexpression was associated with the diagnosis of BL and signal transduction and transcription-3(STAT3) with DLBCL (P < 0.001 for all markers). All three markers were associated with patient outcome in DLBCL. A new algorithm discriminating BL from DLBCL emerged, including the expression of CSE1L, STAT3,and MYC translocation. This 'new classifier' enabled the identification of patients with intermediate BL/DLBCL who benefited from intensive chemotherapy regimens. Conclusion: The proposed algorithm, which is based on markers with reliable staining properties for routine diagnostics,represents a novel valid tool in separating BL from DLBCL. Most interestingly, it allows segregating intermediate BL/DLBCL into groups with different treatment requirements.

Original languageEnglish
Pages (from-to)193-201
Number of pages9
JournalAnnals of Oncology
Volume24
Issue number1
DOIs
StatePublished - Jan 2013
Externally publishedYes

Keywords

  • Algorithm
  • BL
  • CSE1L
  • DLBCL
  • ID3
  • STAT3

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