Abstract

High-grade B-cell lymphomas with MYC and BCL2 and/or BCL6 rearrangements [double-hit lymphomas (DHL)] are aggressive lymphomas. Current literature recommends fluorescent in-situ hybridization analysis (FISH) in all cases of diffuse large B-cell lymphoma (DLBCL) to identify cases of DHL. However, this approach is not feasible in a resource-limited setting. We analyzed cases of de novo high-grade B-cell non-Hodgkin lymphoma using histomorphology, immunohistochemistry and FISH to identify which cases need to undergo FISH testing in a resource-limited setting. Cases of de novo high-grade B-cell non-Hodgkin lymphoma that included DLBCL, not otherwise specified and B-cell lymphoma unclassifiable (BCLU) with features intermediate between DLBCL and Burkitt lymphoma diagnosed over a period of 5 years were analyzed by Hans algorithm, MYC, BCL2, and Ki67. MYC, BCL2, and BCL6 break apart FISH was tested in selected cases. One hundred and nine cases were obtained, of which 102 had DLBCL morphology and 7 had BCLU/blastoid morphology. BCL2 expression was noted in 48 cases (44%), MYC in 33 cases (30.3%) and MYC/BCL2 co-expression in 24 cases (22%). FISH testing could be done in 42 consecutive cases, of which 5 cases had MYC and BCL2 co-rearrangement (11.9%) (double-hit) and 2 cases showed rearrangement for only MYC (4.7%) (single-hit). Single-hit lymphoma/DHL showed significant independent positive correlation with BCLU/blastoid morphology, CD10 expression, germinal center B-cell phenotype, and MYC/BCL2 co-expression. The sensitivity and specificity of each parameters include BCLU/blastoid morphology (42% vs. 94%), CD10 positive (50% vs. 88%), germinal center B-cell phenotype (57% vs. 82%), MYC/BCL2 co-expression (85% vs. 80%). Selected candidates for FISH (any one of the above parameters) using this strategy showed a sensitivity and specificity of 100% and 68%, respectively (P=0.001). We propose a highly sensitive screening strategy for detection of MYC/BCL2 rearrangement in high-grade B-cell lymphoma in a resource-limited setting (pending validation in a larger cohort).

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