Fluorescence in situ hybridization patterns of BCR/ABL1 fusion in chronic myelogenous leukemia at diagnosis

Background : Chronic myelogenous leukemia (CML) is characterised by the t(9;22)(q34;q11.2) which results in the formation of the BCR/ABL1 fusion gene. Occasionally, the t(9;22) may be associated with submicroscopic deletions of chromosomes 9 and/or 22 which appear to be associated with a worse prognosis. Three or four-way variant t(9;22) may also occur. All these changes as well as gain of the Philadelphia chromosome which represents disease progression can be detected by fluorescence in situ hybridization (FISH) analysis. FISH analysis at presentation is used to determine the number of cells with BCR/ABL1 fusion and establish whether the patterns are typical or atypical. Response to therapy can then be monitored by serial testing. Patients and Methods : The study group consisted of all patients diagnosed or suspected to have CML who had interphase FISH analysis at presentation on peripheral blood/bone marrow using a commercially available BCR/ABL1 dual colour, dual fusion probe. The study was performed at a tertiary hospital in India between 2004 and 2010. Results: There were 1076 diagnostic samples which were positive for BCR/ABL1 fusion. Typical dual fusion signals (two fusions, one red and one green, 2F1R1G) were seen in 801 cases (74 %). Atypical signal patterns were seen in 275 cases (26%). These were: 1F1R2G (4%), 1F2R1G (2.5%) and 1F1R1G (11%) representing deletions of the derivative 9 involving chromosome 9 sequences, chromosome 22 sequences, or both respectively; 3F1R1G (6.5%) usually representing gain of an additional Philadelphia chromosome and 1F2R2G (1%) representing a three- or four-way variant translocation. More than one signal pattern was seen in 1%. Conclusions: Our findings were similar to the literature with respect to the distribution of signal patterns except that we had a lower number of patients with variant translocations. While each signal pattern is typically associated with a particular abnormality, there can be more than one explanation for each pattern. Hence, metaphase FISH analysis is the "gold standard" for the interpretation of signal patterns

Standardizing minimal residual disease by flow cytometry for precursor B lineage acute lymphoblastic leukemia in a developing country

Background: In addition to standard risk criteria at diagnosis, minimal residual disease (MRD) following initiation of therapy is a well‐recognized risk factor to predict relapse. Literature from developing countries addressing therapeutic or laboratory practices related to MRD, is largely lacking. In a first paper from India, we describe our experience in establishing a flow cytometry‐based MRD assay for precursor B lineage ALL (BCP‐ALL) with emphasis on the assay standardization and cost. Methods: Normal templates for B cell development were established in 10 control patients using CD45, CD11a, CD38, CD20, CD10, CD19, CD58, CD34, CD123, and CD22. BCP‐ALL samples (n = 42) were characterized at diagnosis to identify a suitable marker for follow‐up during mid (D+21) and end of induction (D+33). Both, multiparametric immunophenotyping and single marker detection of LAIP were used for data analysis. Results: In 95.2% of BCP‐ALL at least two informative markers could be obtained when a minimum of four cocktail combinations were used. The combination CD20, CD10, CD45, and CD19 was the most useful (71.4%) followed by combinations containing CD38 (66.7%), CD22 (57.1%), CD11a (52.4%), and CD58 (33.3%). Using our approach, 60 and 47% of patients had detectable MRD at mid and end induction time points, respectively. Conclusion: We have described a relatively cost effective MRD panel which is applicable to over 90% of patients. We hope that this data would encourage more centers in India and other resource constrained health delivery systems to develop MRD assays

Fluorescence <i>in situ</i> hybridization patterns of BCR/ABL1 fusion in chronic myelogenous leukemia at diagnosis

Background : Chronic myelogenous leukemia (CML) is characterised by the t(9;22)(q34;q11.2) which results in the formation of the BCR/ABL1 fusion gene. Occasionally, the t(9;22) may be associated with submicroscopic deletions of chromosomes 9 and/or 22 which appear to be associated with a worse prognosis. Three or four-way variant t(9;22) may also occur. All these changes as well as gain of the Philadelphia chromosome which represents disease progression can be detected by fluorescence in situ hybridization (FISH) analysis. FISH analysis at presentation is used to determine the number of cells with BCR/ABL1 fusion and establish whether the patterns are typical or atypical. Response to therapy can then be monitored by serial testing. Patients and Methods : The study group consisted of all patients diagnosed or suspected to have CML who had interphase FISH analysis at presentation on peripheral blood/bone marrow using a commercially available BCR/ABL1 dual colour, dual fusion probe. The study was performed at a tertiary hospital in India between 2004 and 2010. Results: There were 1076 diagnostic samples which were positive for BCR/ABL1 fusion. Typical dual fusion signals (two fusions, one red and one green, 2F1R1G) were seen in 801 cases (74 %). Atypical signal patterns were seen in 275 cases (26%). These were: 1F1R2G (4%), 1F2R1G (2.5%) and 1F1R1G (11%) representing deletions of the derivative 9 involving chromosome 9 sequences, chromosome 22 sequences, or both respectively; 3F1R1G (6.5%) usually representing gain of an additional Philadelphia chromosome and 1F2R2G (1%) representing a three- or four-way variant translocation. More than one signal pattern was seen in 1%. Conclusions: Our findings were similar to the literature with respect to the distribution of signal patterns except that we had a lower number of patients with variant translocations. While each signal pattern is typically associated with a particular abnormality, there can be more than one explanation for each pattern. Hence, metaphase FISH analysis is the "gold standard" for the interpretation of signal patterns