Diagnosis of Burkitt lymphoma using an algorithmic approach – applicable in both resource-poor and resource-rich countries
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Date
2011
Journal Title
Journal ISSN
Volume Title
Publisher
British journal of haematology
Abstract
Distinguishing Burkitt lymphoma (BL) from B cell lymphoma, unclassifiable
with features intermediate between diffuse large B-cell lymphoma (DLBCL)
and BL (DLBCL/BL), and DLBCL is challenging. We propose an
immunohistochemistry and fluorescent in situ hybridization (FISH) based
scoring system that is employed in three phases – Phase 1 (morphology with
CD10 and BCL2 immunostains), Phase 2 (CD38, CD44 and Ki-67
immunostains) and Phase 3 (FISH on paraffin sections for MYC, BCL2,
BCL6 and immunoglobulin family genes). The system was evaluated on 252
aggressive B-cell lymphomas from Europe and from sub-Saharan Africa.
Using the algorithm, we determined a specific diagnosis of BL or not-BL in
82%, 92% and 95% cases at Phases 1, 2 and 3, respectively. In 3Æ4% cases, the
algorithm was not completely applicable due to technical reasons. Overall,
this approach led to a specific diagnosis of BL in 122 cases and to a specific
diagnosis of either DLBCL or DLBCL/BL in 94% of cases that were not
diagnosed as BL. We also evaluated the scoring system on 27 cases of BL
confirmed on gene expression/microRNA expression profiling. Phase 1 of our
scoring system led to a diagnosis of BL in 100% of these cases.
Description
Keywords
Lymphoma, Diagnostic haematology, Immunophenotyping.
Citation
Naresh, K. N., Ibrahim, H. A., Lazzi, S., Rince, P., Onorati, M., Ambrosio, M. R., ... & Leoncini, L. (2011). Diagnosis of Burkitt lymphoma using an algorithmic approach–applicable in both resource‐poor and resource‐rich countries. British journal of haematology, 154(6), 770-776. doi:10.1111/j.1365-2141.2011.08771.x