Diagnosis of Burkitt lymphoma using an algorithmic approach – applicable in both resource-poor and resource-rich countries

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dc.contributor.authorNaresh, Kikkeri N.
dc.contributor.authorIbrahim, Hazem A. H.
dc.contributor.authorLazzi, Stefano
dc.contributor.authorRince, Patricia
dc.contributor.authorOnorati, Monica
dc.contributor.authorAmbrosio, Maria R.
dc.contributor.authorBilhou-Nabera, Chryste`le
dc.contributor.authorAmen, Furrat
dc.contributor.authorReid, Alistair
dc.contributor.authorMawanda, Michael
dc.contributor.authorCalbi, Valeria
dc.contributor.authorOgwang, Martin
dc.contributor.authorRogena, Emily
dc.contributor.authorByakika, Bessie
dc.contributor.authorSayed, Shahin
dc.contributor.authorMoshi, Emma
dc.contributor.authorMwakigonja, Amos
dc.contributor.authorRaphael, Martine
dc.contributor.authorMagrath, Ian
dc.contributor.authorLeoncini, Lorenzo
dc.date.accessioned2022-04-29T14:08:13Z
dc.date.available2022-04-29T14:08:13Z
dc.date.issued2011
dc.description.abstractDistinguishing 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.en_US
dc.identifier.citationNaresh, 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.xen_US
dc.identifier.other10.1111/j.1365-2141.2011.08771.x
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/2978
dc.language.isoenen_US
dc.publisherBritish journal of haematologyen_US
dc.subjectLymphomaen_US
dc.subjectDiagnostic haematologyen_US
dc.subjectImmunophenotyping.en_US
dc.titleDiagnosis of Burkitt lymphoma using an algorithmic approach – applicable in both resource-poor and resource-rich countriesen_US
dc.typeArticleen_US
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