Approximately 30,000 cases of non-Hodgkin lymphoma (NHL) occur in the equatorial belt of Africa each year. Apart from the fact that Burkitt lymphoma (BL) is very common among children and adolescents in Africa and that an epidemic of human immunodeficiency virus (HIV) infection is currently ongoing in this part of the world, very little is known about lymphomas in Africa. This review provides information regarding the current infrastructure for diagnostics in sub-Saharan Africa. The results on the diagnostic accuracy and on the distribution of different lymphoma subsets in sub-Saharan Africa were based on a review undertaken by a team of lymphoma experts on159 fine needle aspirationsamples and 467 histological samples during their visit to the African centres is presented. Among children (<18 years of age), BL accounted for 82% of all NHL, and among adults, diffuse large B-cell lymphoma accounted for 55% of all NHLs. Among adults, various lymphomas other than BL, including T-cell lymphomas, were encountered. The review also discusses the current strategies of the International Network of Cancer Treatment and Research on improving the diagnostic standards and management of lymphoma patients and in acquiring reliable clinical and pathology data in sub-Saharan Africa for fostering high-quality translational research.
The role of the microenvironment in high-grade lymphoma is not well defined. In this report, we employ immunohistochemistry to characterise programmed death-1 (PD-1/CD279) and FoxP3 expression in 70 cases of diffuse large B-cell lymphoma (DLBCL). PD-1 is a surface marker characteristic of follicular helper T-cells whilst FoxP3 is characteristic of Tregs. We demonstrate variable infiltration with CD4(+) T-cells (<10 to >50 % of all lymph node cells) and PD-1(hi) cells (0.1 to 1.5 % of all cells). CD4(+) T-cells can be distributed in clusters or more diffusely and PD-1(hi) cells, but not FoxP3(+) cells, are found in rosettes around lymphoma cells. Cases with high CD4(+) T-cell numbers tended to have higher numbers of both PD-1(hi) and FoxP3(+) cells. Cases with total CD4(+) T-cell, PD-1(hi) and FoxP3(+) numbers above the median associate with better clinical outcome. Overall, we demonstrate that infiltration by CD4(+) T-cells, including both FoxP3(+) and PD-1(hi) subsets, correlates with prognosis in DLBCL. In distinction to previous reported series, patients (91 %) were treated with rituximab-containing regimens, suggesting that the effects of CD4+ T-cell infiltration are maintained in the rituximab era. This work suggests that determinants of total CD4(+) T-cell infiltration, either molecular characteristics of the lymphoma or the patients' immune system, and not individual T-cell subsets, correlate with clinical outcome.
Summary
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 3·4% 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.
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