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DOI: 10.1055/s-0043-1766133
Role of Cytogenetics and FISH in Laboratory Workup of B Cell Precursor Acute Lymphoblastic Leukemia
- Abstract
- Introduction
- Recurring Chromosomal Alterations in BCP-ALL
- Cytogenetic and Molecular Methods to Characterize BCP-ALL
- Cytogenetic Strategy in BCP-ALL
- Rearrangements
- Summary
- References
Abstract
Modern therapeutic protocols in acute leukemias risk stratify disease based on genetic characterization of the neoplastic cells and their response to treatment. Genetic characterization is routinely performed by cytogenetic testing of leukemic cells and is a standard component of modern risk-adapted therapy in acute lymphoblastic leukemia (ALL). High-throughput technologies like RNA sequencing have identified multiple novel subtypes in recent years. The cytogenetic strategy using GTG and fluorescent in-situ hybridization (FISH) has to be adapted to identify not only the primary principal chromosomal abnormalities but also the novel subtypes. In the review, we describe a systematic comprehensive cytogenetic strategy that integrates information from immunophenotyping, flow-based DNA ploidy, and karyotyping complemented by targeted FISH studies to identify more than 70% of genetic abnormalities described in B cell precursor ALL. The simplified strategy includes a four-probe FISH and flow ploidy strategy, ± karyotyping that identifies high risk (KMT2A, BCR::ABL1, hypodiploidy, iAMP21) and standard risk (ETV6::RUNX1 and high hyperdiploid) cytogenetic groups. The extended FISH panel includes probes targeting MEF2D, ZNF384, and CRLF2 rearrangements that are used intuitively on integrating the immunophenotyping features that characterize these entities. The strategy also includes a systematic approach to identify masked hypodiploidy integrating targeted FISH analysis directed toward identifying monosomies of chromosomes 7, 15, and 17 and flow cytometry-based DNA ploidy analysis. The recently described PH-like ALL is characterized by ABL class fusions and rearrangements of CRLF2 and JAK2 genes. FISH analysis using break-apart probes can be used to identify these aberrations. The cytogenetic approach also includes FISH analysis to identify intragenic and whole gene deletions of the IKZF1 genes that identify a subset of patients associated with high risk of treatment failure.
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Keywords
acute lymphoblastic leukemia - ETV6::RUNX1 fusion - hyperdiploidy - BCR::ABL1 fusion - KMT2A gene rearrangement - iAMP21 - FISH in ALL - karyotypingIntroduction
Modern treatment protocols in acute lymphoblastic leukemia (ALL) risk stratify patients based on genetic characteristics of leukemic cells and response to treatment.[1] Genetic characterization is routinely performed by cytogenetic testing of leukemic cells and is a standard component of modern risk-adapted therapy in ALLs.[2] [3] Arising from the precursors of the lymphoid lineage, ALLs are either B cell precursor (BCP-ALL) or T cell type (T-ALL). BCP-ALL accounts for 75% of ALLs in children and 80% of ALLs in adults and comprises multiple genetic subtypes defined by their sentinel finding chromosomal abnormalities that are essential in risk stratification. T-ALLs, on other hand, are treated as a high-risk disease upfront and hence this review will focus on cytogenetic characterization of BCP-ALL.
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Recurring Chromosomal Alterations in BCP-ALL
BCP-ALLs are characterized by a spectrum of finding chromosomal abnormalities that occur early in the course of the disease and are prognostic and predictive of outcomes.[4] Copy number abnormalities and sequence mutations are cooperating secondary lesions in leukemogenesis and may either be acquired or enriched at disease progression ([Table 1]).[5] [6] The clinically significant chromosomal abnormalities include aneuploidies and chromosomal translocations/gene rearrangements. High hyperdiploidy (HH) and ETV6::RUNX1 fusions have more than 90% cure rates and are categorized as standard risk[7] [8] and TCF3::PBX1 fusions are categorized as intermediate risk. Hypodiploidy, intrachromosomal amplification of chromosome 21 (iAMP21), BCR::ABL1,TCF3::HLF1 fusions, complex karyotypes, and KMT2A rearrangements are categorized as high risk.[9]
IKZF1 Plus profile (deletions in IKZF1 deletions plus PAX5, CDKN2A, CDKN2B, PAR1 deletions with absence of ERG deletions) seen in 6% of paediatric ALL74 and 21% of adult ALL9
The distribution of the cytogenetic subtypes is variable in different age groups with good risk cytogenetic subtypes, that is, HH and ETV6::RUNX1 fusions being more frequent in pediatric patients and BCR::ABL1 being more frequent in adults. KMT2A rearrangements are characteristic of infant ALL with prevalence rising in adults (10–15%).[9] [10]
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Cytogenetic and Molecular Methods to Characterize BCP-ALL
Karyotyping
Chromosome banding technique is a morphological assessment of whole genome of a single cell and requires fresh samples and skilled manpower. The turnaround time varies from 5 to 10 days. The chromosomes are best studied at the metaphase stage of the cell cycle when the chromatin is condensed and chromosome morphology is well defined. The reliability of karyotyping analysis depends on obtaining good quality analyzable metaphases from neoplastic cells. Blasts with low proliferative potential and a proportion of HH cases may not yield analyzable metaphases, the results being interpreted erroneously as normal karyotype in such cases. Correlating FISH and flow ploidy results in these cases aids in accurately identifying the cytogenetic subtype.
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Fluorescent in Situ Hybridization
Fluorescent in situ hybridization (FISH) is based on the principle of hybridization of single-stranded DNA probes labeled with fluorophores to their complementary genomic sequences. FISH does not require live cells, is relatively inexpensive, and allows transport of samples for testing at referral laboratories. FISH microscopy images can also be reviewed centrally to ensure standardization and diagnostic accuracy across treatment centers. Sensitivity varies from 1 to 5%.
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Preanalytical Variables and Quality Control in Karyotyping and FISH
The first pull bone marrow aspirate sample is the preferred sample for cytogenetic studies that should be transported as soon as possible to the laboratory and processed with minimum delay. However, peripheral blood samples with high blast counts can also be utilized for FISH studies. Samples should be collected in heparin vials.
A minimum of 20 metaphases obtained from two independent cultures should be analyzed. In the presence of a clonal cytogenetic abnormality, evaluation of fewer than 20 metaphases is acceptable.
In FISH analysis, each probe should be validated for various thresholds, aberrant signal patterns to establish false positive/negative ranges. A minimum of 100 interphase nuclei by two analysts for diagnostic samples and 200 interphase nuclei for follow-up samples are recommended. The cutoff value for fusion probes is 1% and a higher cutoff for break apart probes is recommended. Cutoff values for each probe can be calculated by either using coefficient of variation with standard deviation and β inverse function or by using the Excel (Microsoft, Redmond, Washington, United States) statistical function CRITBINOM (n, p, α) with a confidence level of 95%. When results are just above the cutoff value, the report should mention that the clinical significance is unclear.[11]
In patients with lymphoblastic lymphoma without bone marrow involvement the cytogenetic characterization can be performed on either touch preparations, or on formalin fixed paraffin embedded sections.
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Single-Nucleotide Polymorphism Array
Single-nucleotide polymorphism (SNP) arrays is a useful tool to study copy number abnormalities, polymorphisms, and copy neutral loss of heterozygosity at a whole genome level. The technology is based on the principle of hybridizing fragmented nucleic acid sequences derived from patient's DNA that are labeled with fluorescent dyes on the allele-specific oligonucleotide probes immobilized on array chip. The hybridization signal is recorded using a detection system and results are interpreted. SNP arrays can identify aneuploidies, chromosomal duplications, deletions, and copy neutral loss of heterozygosity. High-density SNP array in ALLs identifies hyperdiploidy, hypodiploidy, hidden hypodiploidy, IKZF1 deletions, and IKZF1 Plus patients (deletions in PAX5, CDKN2A, CDKN2B, PAR1 deletions with absence of ERG deletions).[12] [13] The utility of SNP array in routine diagnostics laboratories is limited by high cost per test and inability to identify fusions resulting from balanced translocations.
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Transcriptome Analysis
Transcriptome sequencing and analysis identifies fusions and unique gene expression signatures identifying novel genetic subtypes like BCR::ABL1 like, ETV6::RUNX1 like, KMT2A like, and PAX5 altered ALLs.[14] [15] [16] High costs, lack of expertise in analysis of data, and limited access to the technology have restricted its wider use in routine diagnostic laboratories.
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Cytogenetic Strategy in BCP-ALL
The cytogenetic strategy is based on karyotyping, FISH analysis using a panel of four probes and DNA index using flow cytometry. The cytogenetic strategy is designed to identify aneuploidies (hyperdiploidy and hypodiploidy), rearrangements (ETV6::RUNX1,BCR::ABL1, KMT2A rearrangements,TCF3::PBX1, TCF3::HLF1), and amplifications (iAMP21).
While karyotyping identifies aneuploidies (hyperdiploidy, hypodiploidy and near haploidy), balanced chromosomal rearrangements (BCR::ABL1, TCF3::PBX1 and KMT2A rearrangements), and structural abnormalities (duplications and deletions larger than 5MB), the resolution of karyotyping is low (<5MB) and it fails to identify cryptic translocations like t(12;21)/ETV6::RUNX1 and some of the KMT2A rearrangements. Karyotyping also serves as a discovery tool identifying multiple structural and numerical abnormalities and identifies complex karyotype (5 abnormalities) that is associated with very high risk in adult ALL.[9]
FISH-Based Strategy
We developed a cytogenetic strategy based on three probe FISH testing and flow ploidy to identify principal genetic subtypes of BCP-ALL ([Fig. 1]).[17] The three-probe FISH strategy includes dual-color fusion probe targeting ETV6::RUNX1 fusion, dual color fusion probe targeting BCR::ABL1 fusion, and KMT2A break-apart probe. The three-probe strategy has evolved into four-probe strategy by adding the TCF3 triple color probe to identify TCF3::PBX1 and TCF3::HLF1 fusions.
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FISH analysis is performed in a stepwise manner, the first step involves testing using ETV6::RUNX1 probe in pediatric ALL patients and setting up sample for karyotyping and flow based detection of DNA index/ploidy. Samples that test positive for ETV6::RUNX1 fusion are not tested using additional probes. If the sample tests negative, reflex testing is performed using BCR::ABL1 dual-color fusion probe, KMT2A break-apart probe, and TCF3 break-apart probe. Adult ALL patients are tested for BCR::ABL1 fusion in the first step.
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Additional Findings Using ETV6::RUNX1 Dual-Color Fusion Probe
FISH analysis using ETV6::RUNX1 dual color probe not only identifies the fusion but also identifies iAMP21 and is a screening tool to identify HH.[3] [17]
HH: Presence of three to four discrete additional RUNX1 signals is suggestive of HH as these patients universally gain chromosome 21. Almost 25 to 30% of HH patients show normal karyotypes. In these patients (hidden HH) presence of additional RUNX1 signals is suggestive of HH and can be confirmed by using centromeric probes targeting chromosomes 4, 10, and 17 and correlating with flow ploidy.
iAMP21: iAMP21 is defined by the presence of five or more total copies of RUNX1 in interphase cells or three or more extra RUNX1 signals on a single abnormal chromosome 21 in a tandem step ladder arrangement.[18]
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Additional Findings Using BCR::ABL1 Dual-Color Fusion Probe
FISH analysis using the dual-color fusion probe identifies BCR::ABL1 fusions and is also a screening tool to identify other ABL1 translocations. Presence of additional ABL1 signal indicates the presence of ABL1 rearrangements involving other partner genes. The ABL1 rearrangement in these patients needs to be confirmed using ABL1 break-apart probe.
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Aneuploidies
The clinically relevant aneuploid entities in ALL comprises of HH, near triploidy, near-tetraploidy, near haploidy, and low hypodiploidy. HH and low hyperidiploidy are associated with intermediate prognosis.
High Hyperdiploidy
HH ALL forms one of the largest subgroups accounting for 30 to 40% of pediatric B cell ALL making it one of the most common malignancy in the pediatric population. HH ALL is characterized by non-random gains of chromosomes X,4,6,10,17,18, and 21 more frequently as trisomies followed by tetrasomies, with the modal chromosome number ranging from 51 to 67 chromosomes.[19] HH ALL is generally associated with favorable clinical features like low white cell counts, age 2 to 7 years and a very low incidence of extramedullary disease.[4] The outcome is superior with more than 90% overall survival in modern treatment protocols. Gains of specific chromosomes in HH ALL have been implicated as a significant factor affecting outcomes. Analyzing the cytogenetic data +6, +4/+ 10, +10/+ 17, and +4/+ 18 has been reported as good risk indicators in various studies.[4] [20] [21] The Children's Oncology group uses the presence of triple trisomies (trisomies of chromosomes 4,10 and 17) as a good risk indicator.[22] Lower modal numbers and the presence of trisomy 5 have been implicated as poor risk indicators in some studies.[20] However, these associations were not found to be consistent between the various clinical trials. Nearly 50% of HH patients show structural changes duplication of long arm of chromosome 1 being most common. Fusions are rare in HH patients. Patients with BCR::ABL1, ETV6::RUNX1 or KMT2A rearrangements may be seen along with chromosomal gains and a hyperdiploid karyotype. These gains are usually secondary and the patients are assigned to the risk subtype based on the fusions present.
Diagnosis of HH ALL: Identified by karyotyping, flow cytometric-based DNA index, and SNP array. About 25 to 30% of HH patients show normal karyotype and diagnosis is based on flow cytometric DNA index and additional RUNX1 signals on ETV6::RUNX1 FISH analysis and CEP probes targeting chromosome 4,10, and 17.[23] [24] In patients with failed karyotype result, gain of RUNX1 signals on ETV6::RUNX1 FISH analysis suggests presence of HH, and the diagnosis is to be confirmed by FISH analysis using CEP probes targeting chromosomes 4,10, and 17.
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Hypodiploidy and Near-Haploidy
Hypodiploidy is characterized by less than 46 chromosomes and is further subtyped into HH (40–43 chromosomes), low hypodiploidy (30–39 chromosomes), and near haploidy (25–29 chromosomes), the latter two being associated with extremely poor prognosis.[25] It is seen in 1% of childhood and 3 to 4% of adult BCP-ALL. Near haploid and low hypodiploid karyotypes show monosomies of chromosomes 3,4, 7,13,15,16, and 17, while chromosomes X,14,18, and 21 show two copies.[26]
Masked Hypodiploidy: In a proportion of patients with hypodiploidy, the hypodiploid clone can be masked through a process called endoreduplication. In these patients, the hypodiploid clone duplicates the number of chromosomes and the karyotype can reveal only metaphases derived from the endoreduplicated clone with 50 to 79 chromosomes.[27] The patients are erroneously categorized as HH ALL. Masked hypodiploidy can be identified by SNP arrays, where the chromosomes with two copies showing uniparental isodisomy and chromosomes with four copies showing 2:2 allelic ratios.[28] Flow-based ploidy analysis may show two peaks corresponding to the hypodiploid clone and the endoreduplicated hyperdiploid clone. Presence of characteristic pattern of gains of chromosomes also aids in identifying a masked hypodiploidy warranting further investigation. We devised a systematic cytogenetic strategy to identify masked hypodiploidy using a combination of flow ploidy, pattern of gains of chromosome on karyotype, and targeted FISH analysis directed to identify monosomies of chromosomes 3,7,15, and 17.[29]
Diagnosis of Low Hypodiploidy/Near Haploidy
Diagnosis can be established by karyotyping, FISH, and SNP arrays. TP53 mutations are seen in 90% of low hypodiploid patients.[30] [31]
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Near Triploidy (66–79 Chromosomes)
There is evidence that near triploidy represents a hidden low hyperdiploid clone.[26] Once masked hypodiploidy has been ruled out, near triploidy is to be considered as an intermediate risk factor. Diagnosis rests on karyoytping, FISH, and SNP arrays.
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Near Tetraploidy (84–100 Chromosomes)
Near tetraploidy is seen in 1% of childhood ALL and is more frequent in T ALL. Near tetraploidy does not carry any prognostic impact by itself.[32] Once the presence of ETV6::RUNX1, BCR::ABL1 fusions and KMT2A rearrangements have been ruled by FISH, near tetraploidy is to be considered as an intermediate risk factor.
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Amplifications: Intrachromosomal Amplification of 21
iAMP21 is seen in 2% of pediatric ALL and is rare in adults.[33] It is characterized by gains and losses along the long arm of chromosome 21 with RUNX1 gene being present in the common area of amplification.[34] The common regions of deletions involve subtelomeric region of chromosome 21.[18] [35] SNP array and whole genome studies have inferred that the formation of iAMP21 involves breakage-fusion-bridge cycle, resulting in amplification and formation of dicentric chromosomes and chromothripsis.[34] Associated with high relapse risk, intensive therapies have improved outcomes in recent years.[36]
Diagnosis of iAMP21: On karyotype iAMP21 is seen as a grossly abnormal chromosome 21, the diagnosis being supported by FISH analysis showing more than or equal to three copies of RUNX1 gene on the arm of the chromosome 21.[35] On interphase FISH iAMP21 is defined as more than or equal three five copies of RUNX1 gene per cell. On interphase FISH care should be taken to differentiate from HH as more than or equal to five copies of RUNX1 may be seen in HH patients as well. In doubtful cases FISH targeting the subtelomeric region of chromosome 21 may help in diagnosis. SNP array analysis identifies a typical pattern of gains and losses associated with iAMP21 and is diagnostic in rare atypical cases where additional copies of RUNX1 gene may be present on other chromosomes.[37]
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Rearrangements
The chromosomal translocations in BCP-ALL commonly involve transcription factors, epigenetic modifiers, cytokine receptors, and tyrosine kinases. The translocations deregulate gene expression either by forming a chimeric transcript or overexpression of a gene by juxtaposition of enhancers to the partner gene.
t(12;21)(p13:q22)/ETV6::RUNX1
ETV6::RUNX1 fusions are more frequent in childhood ALL and account for 25% of pediatric ALL in Western data and around 18% as per our data.[2] [17] [38] [39] It is associated with favorable outcomes. The ETV6::RUNX1 fusion is known to occur prenatally where it gives to rise to pre-leukemia state followed by secondary mutations that trigger overt leukemia.[40]
Diagnosis: The t(12;21) is cryptic and is best identified by FISH analysis using dual-color fusion probes. The FISH approach has more advantages than the molecular RTPCR approach as the transcript expression can be low and also the FISH analysis using ETV6::RUNX1 probe additionally identifies HH, iAMP21, and other ETV6 fusions as well.
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t(9;22)/BCR::ABL1
BCR::ABL1 fusion accounts for 25% of adult ALL and is seen in 2 to 5% of childhood ALL. Associated with high risk,[41] [42] the outcomes have improved in recent years with the use of tyrosine kinase inhibitors in both children and adults.[43] [44] [45] [46] [47] Ikaros deletions are common in BCR::ABL1 positive patients and are associated with treatment failure and relapse.[48]
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Diagnosis: Identified by karyotyping, FISH and molecular methods.
TCF3 Rearrangements: t(1;19)(q23;p13)/TCF3::PBX1 and t(17;19)(q22;p13) /TCF3::HLF1
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TCF3::PBX1 fusions occurs in approximately 6% of BCP-ALL and associated with intermediate risk.[49] [50] The fusion protein is formed by joining the homeobox (HOX) gene PBX1 (for pre-B cell homeobox 1) on chromosome 1 with the two activation domains of the basic helix-loop-helix transcription factor TCF3 on chromosome 19 leading to transcriptional activation of PBX1.
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TCF3::HLF fusion is a rare genetic subtype seen in less than 1% of BCP ALL.[51] Patients frequently present with disseminated intravascular coagulation, hypercalcemia,[52] low WBC counts, and absence of CD34 expression on immunophenotyping. It is associated with a dismal prognosis, despite treatment intensification and allogenic stem cell transplantation.[53]
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Diagnosis: Identified by karyotyping, FISH, and molecular methods. The translocation t(1;19) may occur either as a balanced form or an unbalanced form (only derivative 19 present), the unbalanced form being more common.[50] [54] Not all patients with t(1;19) identified on karyotype carry the TCF3::PBX1 transcript especially those associated with HH.[55] FISH analysis using a break-apart probe identifies these translocations accurately. The translocation t(17;19) can be identified by karyotyping and FISH. The TCF3 break-apart probe is included in our FISH panel. Patients testing positive for TCF3 rearrangement using break-apart probe are investigated using tricolor fusion probe that identifies the specific partners, that is, PBX1 and HLF1.
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KMT2A Rearrangements
KMT2A rearrangements are hallmark of infant ALL with an increased prevalence in adolescents and young adults (4%) and peaking in adults (15%). KMT2A (MLL) gene can rearrange with more than 80 partners and more than 100 different translocations have been described. They are strong drivers of leukemogenesis with very few secondary alterations and are associated with poor prognosis.[56]
Diagnosis: Best identified by FISH analysis using break-apart probes. Karyotyping identifies partners and in patients with poor chromosome morphology match metaphase FISH analysis helps in identifying partner. KMT2A rearrangements involving genes located close to the KMT2A gene on chromosome 11 (ATP5L and USP2) show a normal FISH pattern and these rearrangements are best identified using molecular techniques or RNA sequencing.[57]
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B-Other ALL
B-Other ALL is a heterogenous group defined by absence of all routinely assessed classifying cytogenetic abnormalities described above and are classified as intermediate risk cytogenetics. In the preceding decade, over 18 different genetic subtypes in the B-Other group have been identified, with differing treatment outcomes ([Fig. 2]).[14] Subtypes with good outcomes are DUX4 fusions (associated with ERG deletions). Poor outcome subtypes include Ph-like ALL which may benefit from intensive therapy along with tyrosine kinase inhibitors.[43] [44] MEF2D and ZNF384 fusions have been reported to be associated with intermediate prognosis.[58] Independent of these cytogenetic groups, somatic copy number alterations and gene mutations are also of prognostic significance. Among these, are deletions in IKZF1 (IKZF1 del) especially when accompanied by deletions in CDKN2A/B, PAX5 and the PAR1 locus; deletions in RB1, NR3C1, BTG1; and mutations in TP53, and PAX5.[8] [59]
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Role of Karyotyping and FISH in Identifying Different Subtypes of B-other BCP-ALL
Karyotype is a discovery tool and serves as a screening tool to identify structural abnormalities and rearrangements which can be confirmed through FISH analysis using specific probes.
MEF2D Rearranged BCP ALL
MEF2D (myocyte enhancer factor 2D)-rearranged ALL accounts for 4% of pediatric and 10% of adult ALL with a higher incidence in adolescents. It is characterized by a distinct immunophenotype (CD10 − , CD38 + ) and is associated with a poor prognosis.[58] [60] [61] The common fusion partner genes include BCL9 (1q21), HNRPULN1 (19q13.2), DAZAP1 (19p13.3), CSF1R (5q32),SS18(18q11.2), STAT6 (12q13.3), and FOXJ2 (12p13.3). The fusions result in increased cell growth, resistance to dexamethasone, and increase of HDAC9 expression. The most common fusion is the MEF2D::BCL9 fusion which is the result of an interstitial deletion between 1q21 and 1q22. The fusion is cryptic and cannot be identified by karyotyping. MEF2D rearrangements lead to increased HDAC9 expression, therefore amenable to histone deacetylase inhibitor treatment.[58]
Diagnosis: The diagnosis is based on characteristic immunophenotype confirmed by FISH analysis using a MEF2D break-apart probe. The tricolor MEF2D break-apart probe differentiates between MEF2D::BCL9 fusions and other partners
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B- ALL with Zinc Finger Protein 384 (ZNF384) Rearrangements
ZNF384 rearrangements show a peak incidence in adolescents and young adults and account for 1 to 5% of pediatric and 2 to 7% of adult ALL.[62] [63] [64] The ZNF384 gene functions as a transcription factor and multiple partners have been described. The ZNF384 rearranged ALL have a distinct transcriptomic signature and are associated with aberrant expression of myeloid markers (CD13 and CD33). With a stem cell signature, the ZNF384 rearrangements have been reported in biphenotypic, mixed phenotype, and acute undifferentiated leukemia.[65]
Diagnosis: The aberrant expression of myeloid markers provides a clue. The rearrangements are undetectable by karyotyping and are identified by FISH analysis using a ZNF384 break-apart probe.
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BCR::ABL1 Like (Ph-Like ALL)
The BCR::ABL1-like (Ph-like) is characterized by gene expression profile similar to BCR::ABL1 fusion positive patients but lacks the BCR::ABL1 fusions.[15] [16] Ph-like ALL is seen in 12% of childhood, 21% of adolescent 27% of young adult, and 20 to 24% in adults more than 40 years of age. It is a heterogeneous group consisting of gene rearrangements, copy number alterations, and mutations that activate tyrosine kinase or cytokine receptor signaling. Similar to BCR::ABL1 positive ALL, IKZF1 deletions are found in 70 to 80% of Ph-like ALLs and are associated with poor outcomes.[15]
The definition of Ph-like ALL is based on gene expression profile, while the cytogenetic approach to identify this entity is based on identifying CRLF2 rearrangements and identifying ABL class fusions using break-apart probes ([Fig. 3]).
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CRLF2 Rearranged BCP-ALL
The CRLF2 gene is located on the pseudoautosomal regions of the sex chromosomes X and Y. The two common genomic alterations resulting in CRLF2 rearrangement include t(X;14)(p22.3;q32.33) or t(Y:14)(p11.32;q32.33) and CRLF2::P2RY8 fusion resulting from 320KB interstitial deletion within the PAR1 region bringing the two genes together.[5] [66] [67] The P2RY8::CRLF2 fusions have also been identified with other primary cytogenetic abnormalities like HH and iAMP21. CRLF2 rearrangements result in overexpression of the CRLF2 protein that can be detected by multiparametric flow cytometry. The IgH translocation places the CRLF2 gene under the impact of IGH enhancer and in CRLF2::P2RY8 fusion under the influence of promoter sequences of the P2RY8 gene.
Rearrangement of the CRLF2 gene is seen in 50% of Ph-like ALL and in half of Down syndrome-associated BCP-ALL.[68] The CRLF2 rearrangements are associated with poor prognosis in non-Down syndrome pediatric and adult patients.[38] [41] [69]
Diagnosis: Both the IgH::CRLF2 and P2RY8::CRLF2 are cryptic and cannot be detected on karyotype. They can be detected by FISH using a CRLF2 break-apart probe. CRLF2::P2RY8 fusions can also be identified by detecting deletion in the PAR1 region by using multiplex ligation-based probe amplification (MLPA) or chromosomal micro arrays or SNP arrays.
ABL Class Fusions
ABL class fusions although not so frequent in BCP-ALL (3–5% of pediatric ALL, 2–3% of adult ALL) are seen in 10% of Ph-like ALL.[41] [42] [70] The ABL class rearrangements result in fusion of the 5′ partner gene with 3′ of the kinase gene resulting in transcripts that have intact tyrosine kinase domain resulting in activation of the kinase pathway.[70] The frequently involved kinase genes include ABL1, ABL2, CSF1R, PDGRFB, and PDGRFA.[69]
Diagnosis: The fusions can be identified by RNA sequencing and multiplex PCR assays. Cytogenetically, the presence of an additional ABL1 signal on BCR::ABL1 FISH is a screening tool and hints toward the presence of the ABL1 rearrangements. Since the Ph-like ALL is associated with poor response to induction therapy and high MRD, our cytogenetic approach is based on FISH analysis using break-apart probes targeting ABL1, ABL2, CSF1R, PDGRFB, and PDGRFA in patients not in remission at end of induction or having a high MRD. Karyotype can also identify translocations involving the kinase genes that are confirmed using specific break-apart probes.
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JAK Rearrangements and Mutations
Translocations resulting in rearrangement of JAK2 gene are seen in 5% of pediatric Ph-like ALL and more frequently in young adults.[69] The JAK2 rearrangements result in in frame fusion of the 5′ of the partner gene with the 3′ of the JAK2 kinase gene keeping the tyrosine kinase domain intact. The JAK2 fusions can be identified by molecular techniques, RNA sequencing, visible chromosomal rearrangements involving the 9p24 loci, and FISH analysis using the break apart probe. The JAK2 mutations are frequent in CRLF2 rearranged ALL and result in activation of the JAK-STAT pathway. The mutations can be identified using Sangers sequencing. The other JAK mutations are not so common and involve the JAK1 gene.
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IKZF1 Deletions and IKZF1 plus BCP ALL
IKZF1-deletions are known to have poor outcomes in ALL overall,[71] and are associated with resistance to therapy. IKZF1 deletions with co-occurring alterations in CDKN2A/2B, PAX5, and PAR1 (pseudo-autosomal region) in the absence of ERG deletions are defined as IKZF1 plus are associated with poor outcomes and high rates of treatment failure.[72]
The IKZF1 deleted and IKZF1 plus are commonly identified using MLPA or chromosomal microarray analysis.[12] In recent times, FISH probe targeting the exon 4–7 of the IKZF1 gene has been used to identify the whole gene and intragenic deletions of the IKZF1 gene.[73] Karyotyping identifies monosomy 7, deletions of short arm of chromosome 7, and dicentric translocations that result in deletion of the entire short arm of chromosome 7. Dicentric translocations between the long arm of chromosomes 7 and 9 result in deletions of the entire short arms of chromosomes 7 and 9 and are consistent with the diagnosis of IKZF1 plus.
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Summary
Cytogenetic study including karyotype and FISH is an efficient tool in identifying the primary chromosomal abnormalities in BCP-ALL. The minimal diagnostic workup suggested is a FISH panel that includes probes targeting ETV6::RUNX1, BCR::ABL1, KMT2A rearrangements and TCF3 rearrangements along with karyotyping and flow ploidy. In patients with failed karyotype, information from ETV6::RUNX1 probe, flow ploidy complemented with additional centromeric probes targeting 4,10 and 17 can identify the aneuploidies including the hidden hyperdiploid and a fair proportion of masked hypodiploidy patients. The information from immunophenotyping can be integrated into the cytogenetic analysis and utilized for targeted FISH analysis ([Fig. 4]). For example, information on dim to negative CD10 expression and CD38 positivity is an indicator to test using MEF2D break apart probe. Similarly, dim CD10 expression with aberrant CD13 and CD33 positivity is an indicator to test for ZNF384 rearrangements. These patients commonly show ETV6 deletions on ETV6::RUNX1 FISH analysis. Reflex testing for ABL kinase and JAK2 rearrangements in patients is suggested in patients with treatment failure at end of induction or with high MRD. The above strategy can identify genetic aberrations in more than 70% of BCP-ALL patients.
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Conflict of Interest
None declared.
Authors' Contributions
R.I. and M.P. wrote the original draft, K.R., A.D. collated the data and figures; M.P. and R.I. have full access to all data and the final responsibility for publication. All authors reviewed the manuscript draft submitted for publication.
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References
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References
- 1 O'Connor D, Enshaei A, Bartram J. et al. Genotype-specific minimal residual disease interpretation improves stratification in pediatric acute lymphoblastic leukemia. J Clin Oncol 2018; 36 (01) 34-43
- 2 Harrison CJ, Haas O, Harbott J. et al; Biology and Diagnosis Committee of International Berlin-Frankfürt-Münster study group. Detection of prognostically relevant genetic abnormalities in childhood B-cell precursor acute lymphoblastic leukaemia: recommendations from the Biology and Diagnosis Committee of the International Berlin-Frankfürt-Münster study group. Br J Haematol 2010; 151 (02) 132-142
- 3 Harrison CJ, Moorman AV, Barber KE. et al. Interphase molecular cytogenetic screening for chromosomal abnormalities of prognostic significance in childhood acute lymphoblastic leukaemia: a UK Cancer Cytogenetics Group Study. Br J Haematol 2005; 129 (04) 520-530
- 4 Moorman AV, Richards SM, Martineau M. et al; United Kingdom Medical Research Council's Childhood Leukemia Working Party. Outcome heterogeneity in childhood high-hyperdiploid acute lymphoblastic leukemia. Blood 2003; 102 (08) 2756-2762
- 5 Moorman AV, Schwab C, Ensor HM. et al. IGH@ translocations, CRLF2 deregulation, and microdeletions in adolescents and adults with acute lymphoblastic leukemia. J Clin Oncol 2012; 30 (25) 3100-3108
- 6 Mullighan CG, Goorha S, Radtke I. et al. Genome-wide analysis of genetic alterations in acute lymphoblastic leukaemia. Nature 2007; 446 (7137): 758-764
- 7 Bhojwani D, Pei D, Sandlund JT. et al. ETV6-RUNX1-positive childhood acute lymphoblastic leukemia: improved outcome with contemporary therapy. Leukemia 2012; 26 (02) 265-270
- 8 Moorman AV, Enshaei A, Schwab C. et al. A novel integrated cytogenetic and genomic classification refines risk stratification in pediatric acute lymphoblastic leukemia. Blood 2014; 124 (09) 1434-1444
- 9 Moorman AV, Barretta E, Butler ER. et al. Prognostic impact of chromosomal abnormalities and copy number alterations in adult B-cell precursor acute lymphoblastic leukaemia: a UKALL14 study. Leukemia 2022; 36 (03) 625-636
- 10 Siegel SE, Stock W, Johnson RH. et al. Pediatric-inspired treatment regimens for adolescents and young adults with Philadelphia chromosome-negative acute lymphoblastic leukemia: a review. JAMA Oncol 2018; 4 (05) 725-734
- 11 Rack KA, van den Berg E, Haferlach C. et al. European recommendations and quality assurance for cytogenomic analysis of haematological neoplasms. Leukemia 2019; 33 (08) 1851-1867
- 12 Bashton M, Hollis R, Ryan S. et al. Concordance of copy number abnormality detection using SNP arrays and Multiplex Ligation-dependent Probe Amplification (MLPA) in acute lymphoblastic leukaemia. Sci Rep 2020; 10 (01) 45
- 13 Berry NK, Scott RJ, Sutton R. et al. Enrichment of atypical hyperdiploidy and IKZF1 deletions detected by SNP-microarray in high-risk Australian AIEOP-BFM B-cell acute lymphoblastic leukaemia cohort. Cancer Genet 2020; 242: 8-14
- 14 Gu Z, Churchman ML, Roberts KG. et al. PAX5-driven subtypes of B-progenitor acute lymphoblastic leukemia. Nat Genet 2019; 51 (02) 296-307
- 15 Mullighan CG, Su X, Zhang J. et al; Children's Oncology Group. Deletion of IKZF1 and prognosis in acute lymphoblastic leukemia. N Engl J Med 2009; 360 (05) 470-480
- 16 Den Boer ML, van Slegtenhorst M, De Menezes RX. et al. A subtype of childhood acute lymphoblastic leukaemia with poor treatment outcome: a genome-wide classification study. Lancet Oncol 2009; 10 (02) 125-134
- 17 Parihar M, Singh MK, Islam R. et al. A triple-probe FISH screening strategy for risk-stratified therapy of acute lymphoblastic leukaemia in low-resource settings. Pediatr Blood Cancer 2018; 65 (12) e27366
- 18 Harrison CJ, Moorman AV, Schwab C. et al; Ponte di Legno International Workshop in Childhood Acute Lymphoblastic Leukemia. An international study of intrachromosomal amplification of chromosome 21 (iAMP21): cytogenetic characterization and outcome. Leukemia 2014; 28 (05) 1015-1021
- 19 Heerema NA, Raimondi SC, Anderson JR. et al. Specific extra chromosomes occur in a modal number dependent pattern in pediatric acute lymphoblastic leukemia. Genes Chromosomes Cancer 2007; 46 (07) 684-693
- 20 Enshaei A, Vora A, Harrison CJ, Moppett J, Moorman AV. Defining low-risk high hyperdiploidy in patients with paediatric acute lymphoblastic leukaemia: a retrospective analysis of data from the UKALL97/99 and UKALL2003 clinical trials. Lancet Haematol 2021; 8 (11) e828-e839
- 21 Heerema NA, Sather HN, Sensel MG. et al. Prognostic impact of trisomies of chromosomes 10, 17, and 5 among children with acute lymphoblastic leukemia and high hyperdiploidy (> 50 chromosomes). J Clin Oncol 2000; 18 (09) 1876-1887
- 22 Sutcliffe MJ, Shuster JJ, Sather HN. et al. High concordance from independent studies by the Children's Cancer Group (CCG) and Pediatric Oncology Group (POG) associating favorable prognosis with combined trisomies 4, 10, and 17 in children with NCI Standard-Risk B-precursor Acute Lymphoblastic Leukemia: a Children's Oncology Group (COG) initiative. Leukemia 2005; 19 (05) 734-740
- 23 Moorman AV, Clark R, Farrell DM, Hawkins JM, Martineau M, Secker-Walker LM. Probes for hidden hyperdiploidy in acute lymphoblastic leukaemia. Genes Chromosomes Cancer 1996; 16 (01) 40-45
- 24 Gupta N, Parihar M, Banerjee S. et al. FxCycle™ based ploidy correlates with cytogenetic ploidy in B-cell acute lymphoblastic leukemia and is able to detect the aneuploid minimal residual disease clone. Cytometry B Clin Cytom 2019; 96 (05) 359-367
- 25 Harrison CJ, Moorman AV, Broadfield ZJ. et al; Childhood and Adult Leukaemia Working Parties. Three distinct subgroups of hypodiploidy in acute lymphoblastic leukaemia. Br J Haematol 2004; 125 (05) 552-559
- 26 Charrin C, Thomas X, Ffrench M. et al. A report from the LALA-94 and LALA-SA groups on hypodiploidy with 30 to 39 chromosomes and near-triploidy: 2 possible expressions of a sole entity conferring poor prognosis in adult acute lymphoblastic leukemia (ALL). Blood 2004; 104 (08) 2444-2451
- 27 Stark B, Jeison M, Gobuzov R. et al. Near haploid childhood acute lymphoblastic leukemia masked by hyperdiploid line: detection by fluorescence in situ hybridization. Cancer Genet Cytogenet 2001; 128 (02) 108-113
- 28 Creasey T, Enshaei A, Nebral K. et al. Single nucleotide polymorphism array-based signature of low hypodiploidy in acute lymphoblastic leukemia. Genes Chromosomes Cancer 2021; 60 (09) 604-615
- 29 Gupta T, Arun SR, Babu GA. et al. A systematic cytogenetic strategy to identify masked hypodiploidy in precursor B acute lymphoblastic leukemia in low resource settings. Indian J Hematol Blood Transfus 2021; 37 (04) 576-585
- 30 Mühlbacher V, Zenger M, Schnittger S. et al. Acute lymphoblastic leukemia with low hypodiploid/near triploid karyotype is a specific clinical entity and exhibits a very high TP53 mutation frequency of 93%. Genes Chromosomes Cancer 2014; 53 (06) 524-536
- 31 Holmfeldt L, Wei L, Diaz-Flores E. et al. The genomic landscape of hypodiploid acute lymphoblastic leukemia. Nat Genet 2013; 45 (03) 242-252
- 32 Attarbaschi A, Mann G, König M. et al; Austrian Berlin-Frankfurt-Münster Cooperative Study Group. Near-tetraploidy in childhood B-cell precursor acute lymphoblastic leukemia is a highly specific feature of ETV6/RUNX1-positive leukemic cases. Genes Chromosomes Cancer 2006; 45 (06) 608-611
- 33 Heerema NA, Carroll AJ, Devidas M. et al. Intrachromosomal amplification of chromosome 21 is associated with inferior outcomes in children with acute lymphoblastic leukemia treated in contemporary standard-risk children's oncology group studies: a report from the children's oncology group. J Clin Oncol 2013; 31 (27) 3397-3402
- 34 Strefford JC, van Delft FW, Robinson HM. et al. Complex genomic alterations and gene expression in acute lymphoblastic leukemia with intrachromosomal amplification of chromosome 21. Proc Natl Acad Sci U S A 2006; 103 (21) 8167-8172
- 35 Harrison CJ. Blood Spotlight on iAMP21 acute lymphoblastic leukemia (ALL), a high-risk pediatric disease. Blood 2015; 125 (09) 1383-1386
- 36 Moorman AV, Richards SM, Robinson HM. et al; UK Medical Research Council (MRC)/National Cancer Research Institute (NCRI) Childhood Leukaemia Working Party (CLWP). Prognosis of children with acute lymphoblastic leukemia (ALL) and intrachromosomal amplification of chromosome 21 (iAMP21). Blood 2007; 109 (06) 2327-2330
- 37 Koleilat A, Smadbeck JB, Zepeda-Mendoza CJ. et al. Characterization of unusual iAMP21 B-lymphoblastic leukemia (iAMP21-ALL) from the Mayo Clinic and Children's Oncology Group. Genes Chromosomes Cancer 2022; 61 (12) 710-719
- 38 Moorman AV. New and emerging prognostic and predictive genetic biomarkers in B-cell precursor acute lymphoblastic leukemia. Haematologica 2016; 101 (04) 407-416
- 39 Schultz KR, Pullen DJ, Sather HN. et al. Risk- and response-based classification of childhood B-precursor acute lymphoblastic leukemia: a combined analysis of prognostic markers from the Pediatric Oncology Group (POG) and Children's Cancer Group (CCG). Blood 2007; 109 (03) 926-935
- 40 Bungaro S, Irving J, Tussiwand R. et al. Genomic analysis of different clonal evolution in a twin pair with t(12;21) positive acute lymphoblastic leukemia sharing the same prenatal clone. Leukemia 2008; 22 (01) 208-211
- 41 Roberts KG, Gu Z, Payne-Turner D. et al. High frequency and poor outcome of Philadelphia chromosome-like acute lymphoblastic leukemia in adults. J Clin Oncol 2017; 35 (04) 394-401
- 42 Roberts KG, Li Y, Payne-Turner D. et al. Targetable kinase-activating lesions in Ph-like acute lymphoblastic leukemia. N Engl J Med 2014; 371 (11) 1005-1015
- 43 Moorman AV, Schwab C, Winterman E. et al. Adjuvant tyrosine kinase inhibitor therapy improves outcome for children and adolescents with acute lymphoblastic leukaemia who have an ABL-class fusion. Br J Haematol 2020; 191 (05) 844-851
- 44 den Boer ML, Cario G, Moorman AV. et al; Ponte di Legno Childhood ALL Working Group. Outcomes of paediatric patients with B-cell acute lymphocytic leukaemia with ABL-class fusion in the pre-tyrosine-kinase inhibitor era: a multicentre, retrospective, cohort study. Lancet Haematol 2021; 8 (01) e55-e66
- 45 Ravandi F, O'Brien S, Thomas D. et al. First report of phase 2 study of dasatinib with hyper-CVAD for the frontline treatment of patients with Philadelphia chromosome-positive (Ph+) acute lymphoblastic leukemia. Blood 2010; 116 (12) 2070-2077
- 46 Schultz KR, Carroll A, Heerema NA. et al; Children's Oncology Group. Long-term follow-up of imatinib in pediatric Philadelphia chromosome-positive acute lymphoblastic leukemia: Children's Oncology Group study AALL0031. Leukemia 2014; 28 (07) 1467-1471
- 47 Slayton WB, Schultz KR, Kairalla JA. et al. Dasatinib plus intensive chemotherapy in children, adolescents, and young adults with Philadelphia chromosome-positive acute lymphoblastic leukemia: results of children's oncology group trial AALL0622. J Clin Oncol 2018; 36 (22) 2306-2314
- 48 Mullighan CG, Miller CB, Radtke I. et al. BCR-ABL1 lymphoblastic leukaemia is characterized by the deletion of Ikaros. Nature 2008; 453 (7191): 110-114
- 49 Devaraj PE, Foroni L, Janossy G, Hoffbrand AV, Secker-Walker LM. Expression of the E2A-PBX1 fusion transcripts in t(1;19)(q23;p13) and der(19)t(1;19) at diagnosis and in remission of acute lymphoblastic leukemia with different B lineage immunophenotypes. Leukemia 1995; 9 (05) 821-825
- 50 Secker-Walker LM, Berger R, Fenaux P. et al. Prognostic significance of the balanced t(1;19) and unbalanced der(19)t(1;19) translocations in acute lymphoblastic leukemia. Leukemia 1992; 6 (05) 363-369
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