Immunophenotyping of acute leukaemias has become an important diagnostic tool in haematology laboratories as it is now well recognised that the presence of certain surface markers has prognostic significance. In 1988, we experimented with the alkaline phosphatase anti-alkaline phosphatase (APAAP) method for immunophenotyping of leukaemic cells in our laboratory. 48 cases of peroxidase-negative acute leukaemias were studied. Our study showed that 2 peroxidase-negative cases carried myeloid surface markers, 44% were negative for the markers studied and 5% were unclassified due to technical problems. We concluded that the APAAP method is a useful technique for demonstrating cell markers in leukaemic cells as the reaction is reddish and usually intense. We failed to demonstrate surface markers in 44% of the cases probably because of the choice of a limited panel of monoclonal antibodies.
A retrospective study was made to determine relative incidence of lymphoma subtypes in Malaysia. High grade non-Hodgkin's lymphoma was found to be common. Low grade non-Hodgkin's lymphoma and Hodgkin's disease were relatively rare in this Malaysian series. Non-Hodgkin's lymphoma of B-cell immunophenotype was four times as common as that of T-cell lineage. There was a high incidence of primary extranodal non-Hodgkin's lymphoma.
Immunophenotypic studies using immunofluorescent flow cytometry were performed on the blast cells of 36 patients with acute leukaemia using a panel of eight monoclonal antibodies. Six patients had blasts which co-expressed markers for lymphoid and myeloid differentiation, and which were therefore defined as biphenotypic hybrid acute leukaemia. Of the six, three patients were in the paediatric age group (below 12 years old) while the other three were more than 12 years old. Peripheral blood counts were variable; however, bone marrow infiltration was extensive (blasts > or = 75% in all). At the time of study, remission was achieved in only two patients. The authors' data show that biphenotypic hybrid acute leukaemia is not rare in Malaysia. This represents a subgroup of acute leukaemia identifiable by immunophenotyping but not by the French-American-British classification based on morphological and basic cytochemical studies alone. The recognition of this subgroup is important for both practical and theoretical reasons. There are implications for treatment of the individual patient because treatment directed at a single lineage may not be effective. The two colour flow cytometry proved to be a useful tool for diagnosis and classification of acute leukaemia.
Most B cell precursor acute lymphoblastic leukemia (BCP ALL) can be classified into known major genetic subtypes, while a substantial proportion of BCP ALL remains poorly characterized in relation to its underlying genomic abnormalities. We therefore initiated a large-scale international study to reanalyze and delineate the transcriptome landscape of 1,223 BCP ALL cases using RNA sequencing. Fourteen BCP ALL gene expression subgroups (G1 to G14) were identified. Apart from extending eight previously described subgroups (G1 to G8 associated with MEF2D fusions, TCF3-PBX1 fusions, ETV6-RUNX1-positive/ETV6-RUNX1-like, DUX4 fusions, ZNF384 fusions, BCR-ABL1/Ph-like, high hyperdiploidy, and KMT2A fusions), we defined six additional gene expression subgroups: G9 was associated with both PAX5 and CRLF2 fusions; G10 and G11 with mutations in PAX5 (p.P80R) and IKZF1 (p.N159Y), respectively; G12 with IGH-CEBPE fusion and mutations in ZEB2 (p.H1038R); and G13 and G14 with TCF3/4-HLF and NUTM1 fusions, respectively. In pediatric BCP ALL, subgroups G2 to G5 and G7 (51 to 65/67 chromosomes) were associated with low-risk, G7 (with ≤50 chromosomes) and G9 were intermediate-risk, whereas G1, G6, and G8 were defined as high-risk subgroups. In adult BCP ALL, G1, G2, G6, and G8 were associated with high risk, while G4, G5, and G7 had relatively favorable outcomes. This large-scale transcriptome sequence analysis of BCP ALL revealed distinct molecular subgroups that reflect discrete pathways of BCP ALL, informing disease classification and prognostic stratification. The combined results strongly advocate that RNA sequencing be introduced into the clinical diagnostic workup of BCP ALL.