Abstract
Deregulated expression of the type I cytokine receptor, CRLF2, is observed in 5-15% of precursor B-cell acute lymphoblastic leukaemia (B-ALL). We have previously reported the genomic landscape of patients with CRLF2 rearrangements (CRLF2-r) using both whole genome and exome sequencing, which identified a number of potential clonal and sub-clonal genomic alterations. In this study, we aimed to assess when the CRLF2-r; IGH-CRLF2 or P2RY8-CRLF2, arose during the evolution of both Down syndrome-ALL (DS-ALL) and non-DS-ALL. Using fluorescence in situ hybridisation, we were able to track up to four structural variants in single cells from 47 CRLF2-r B-ALL patients, which in association with our multiplex single cell analysis of a further four patients, permitted simultaneous tracking of copy number alterations, structural and single nucleotide variants within individual cells. We observed CRLF2-r arising as both early and late events in DS and non-DS-ALL patients. Parallel evolution of discrete clones was observed in the development of CRLF2-r B-ALL, either involving the CRLF2-r or one of the other tracked abnormalities. In depth single cell analysis identified both linear and branching evolution with early clones harbouring a multitude of abnormalities, including the CRLF2-r in DS-ALL patients.
Introduction
Acute lymphoblastic leukaemia (ALL) is defined by primary chromosomal abnormalities that drive disease development and progression and are strongly associated with outcome (1). However, the impact of sub-clonal architecture, including structural variants and mutations, is not as well defined. Initial insights into secondary genetic changes were gained through the study of monozygotic twins in which either one or both children developed ALL (2–5). These investigations identified an in utero origin of ALL. In particular, pre-leukaemic clones were found to harbour the ETV6-RUNX1 fusion, which required additional abnormalities after birth to lead to overt leukaemia. Key features of the sub-clonal architecture of these cases suggested a Darwinian natural selection model to describe the process through which leukaemia presents, progresses and evades treatment (2, 3, 6).
Initiating genomic abnormalities have not been described in all subgroups of B-lineage ALL (B-ALL). A particular subtype, known as Ph-like/BCR-ABL1-like ALL, constitutes 10-15% of B-ALL (7, 8). It is characterised by; a transcriptional profile similar to BCR-ABL1 driven disease; high expression of the type I cytokine receptor, cytokine receptor-like factor 2 (CRLF2); the presence of tyrosine kinase activating fusion genes and mutations of genes within the JAK/STAT and RAS signalling pathways (9). Deregulation of CRLF2 occurs via two genomic alterations (IGH-CRLF2, P2RY8-CRLF2) resulting in its overexpression, however on their own they are insufficient to cause overt leukaemia (10–12). It is well documented that copy number alterations of genes involved in B-cell differentiation and cell cycle control (10, 13–15), including PAX5, IKZF1 and CDKN2A, and mutations of kinases or receptor encoding genes (9, 16), in particular CRLF2, JAK2 and IL7R, are common in this subtype of B-ALL. However, data indicating whether CRLF2-rearrangements (CRLF2-r) are early and/or sub-clonal event are scarce (17, 18).
Evidence of intratumoral heterogeneity has been revealed by a range of techniques, including conventional cytogenetics (19) and fluorescence in situ hybridisation (FISH) (20). Next generation sequencing technologies have exposed remarkable complexities in the genomic landscape of leukaemic blasts (21); coupling this approach with single cell analysis revealed additional multiple levels of heterogeneity that may further inform of treatment failure, resistance and subsequent relapse (22, 23).
In this respect, we have previously developed a multiplex Q-PCR method to target patient specific DNA alterations in flow-sorted single leukaemic cells using the BioMark HD microfluidics platform (23). This approach allows the simultaneous detection of structural variants (SVs), including translocations and fusion genes, copy number alterations (CNAs) and single nucleotide variants (SNVs) within a single cell that can be combined to illustrate clonal evolution within a bulk sample (20, 24, 25).
We have previously reported the genomic landscape of 11 CRLF2-r patients, using both whole genome (WGS) and exome sequencing (WES) (26), which identified a number of potential driver genomic alterations in each case. Both read counts and variant allele frequencies varied, suggesting that some aberrations were sub-clonally distributed, whilst others were clonal. In this study, we aimed to assess at what time point the CRLF2-r; IGH-CRLF2 or P2RY8-CRLF2, arose in the evolution of both Down syndrome-ALL (DS-ALL) and non-DS-ALL. Using FISH, we were able to track up to four SVs in single cells from 47 CRLF2-r ALL patients, which in association with multiplex single cell analysis of a further four patients, has permitted simultaneous tracking of CNAs, SVs and SNVs within single cells.
In this study, we have observed CRLF2-r arising as both early and late events in DS and non-DS-ALL. Parallel evolution of discrete clones was observed in the development of CRLF2-r ALL, either involving the CRLF2-r or one of the other tracked abnormalities. In depth single cell analysis identified both linear and branching evolution with early clones harbouring a multitude of abnormalities, including the CRLF2-r in DS-ALL.
Methods
Sample Cohort
Patients with a CRLF2-r detectable by FISH or Multiplex Ligation-dependent Probe Amplification (MLPA) with available material were selected from six ALL treatment trials: UKALL97/99, n=24; UKALL2003, n=16; UKALLXI, n=2; UKALLXII, n=6; UKALLR3, n=1; ALL-BFM 2000, n=2 (Supplementary Table 1). Ages ranged from 1-54 years (median 5 years, mean 9.73 years).
Institutional review board approval was obtained at each of the collaborating centres. Informed consent was obtained in accordance with the Declaration of Helsinki.
Genomic target selection
WGS and WES data for the patients included in this study have been previously published (26). We used these data to identify SVs, which could be tracked in single cells by FISH and focal CNAs and SNVs for tracking in single cells by multiplex Q-PCR. Two DS-ALL patients (19599, 11538) and two non-DS-ALL patients (11543, 21819) were investigated by single cell multiplex Q-PCR(23). SVs tracked in each patient by FISH are shown in Supplementary Table 1 and SVs, CNAs and SNVs tracked by Q-PCR are shown in Supplementary Tables 2 and 3.
Xenograft transplants
All in vivo studies were performed by personnel holding a current Personal Licence under the Animals (Scientific Procedures) Act 1986 and were conducted in line with current Home Office regulations, compliant with the 3R principles (Home Office license number PPL 60/4552). No further ethical approval was required. Animals were housed under pathogen free conditions, and all experimental manipulations were performed on anaesthetized mice under sterile conditions in a laminar flow hood.
Male and female NSG mice (Jax® mice strain name: NOD.Cg-Prkdcscid Il2rgtm1wjl/SzJ) were transplanted with 1x106 patient primary bone marrow cells, injected intrafemorally into the right femur, as previously described (27). Animals were maintained until they showed clinical signs (weight loss, palpable spleen), which necessitated humane killing (range 3-10 months post injection). Patient-derived xenograft cells (PDXs) from the bone marrow and spleen were harvested, passed through cell strainers (0.40µm) and frozen for long term storage in 90% foetal calf serum and 10% DMSO in liquid nitrogen.
Cytogenetics and fluorescence in situ hybridisation
Fixed cells were available for 47 CRLF2-r patients (46 at diagnosis and 1 at relapse): 14 patients were DS (P2RY8-CRLF2, n=12; IGH-CRLF,2 n=2) and 33 were non-DS (P2RY8-CRLF2, n=25; IGH-CRLF2, n=8) (Supplementary Table 1). Where possible, direct fixed cell cultures were tested to prevent discrepancies caused by outgrowth of normal cells and death of malignant cells. Multiple colour interphase FISH was used to assess the simultaneous presence of both CRLF2-r (XX-87136C11, XX-82904A1, RP4-674K4, RP11-309C18)(10) and deletions of CDKN2A/B (RP11-149I2) and/or PAX5 (RP11-469D03) and/or IKZF1 (G248P800745C8/WI2-3001F15) (previously identified by MLPA and single nucleotide polymorphism (SNP) arrays (26)) in the same cell, as previously reported (10, 28). Briefly, home-grown FISH probes were mixed 1:1 with hybridisation buffer (company) and denatured at 75°C for five minutes followed by hybridisation at 37°C overnight. Coverslips were removed in 2x SSC and slides washed in 0.02% SSC with 0.003% NP40 at 72°C for two minutes followed incubation in 0.1% SSC at room temperature for two minutes. Slides were mounted with 10ul DAPI (Vector laboratories, California, USA). Automated capture and scoring was performed using an automated Olympus BX-61 8-bay stage florescence microscope with a x60 oil objective. Images were stored and analysed using the CytoVision 7.2 SPOT counting system (Leica Microsystems, Gateshead, UK). Where possible, more than 100 nuclei were scored for each FISH test by two independent analysts. A cut-off threshold of >8% was used for all multiple colour probe combinations to allow for interference and obscuring of signals. The cut-off level was established by counting the number of abnormal (false positive) signals generated when the multiple colour probe combinations were hybridised to normal cells.
Commercial and custom primers for Q-PCR and digital PCR
We aimed to track all identified somatic SVs and SNVs detected by WGS and WES encompassing those present at high and low variant allele frequencies; some could not be tracked due to the sequence surrounding the rearrangement (Supplementary Tables 2 and 3).
Custom Taqman Q-PCR assays for SV or SNP that could distinguish the mutant allele from its wild-type counterpart were designed as previously described (23). DNA copy number Taqman assays were purchased from Applied Biosystems. Three CNA assays were chosen within each DNA target region of interest and the diploid reference region encompassing B2M (Supplementary Table 4).
FACS for single cell collection
Diagnostic patient samples and those previously harvested from xenograft transplants were thawed from liquid nitrogen and bulk cells were labelled with carboxyfluorescin diacetate, succinimidyl ester (CFSE) and 6 diamidino-2-phenylindole (DAPI) to identify live and dead cells, respectively. Cells retrieved from successful transplantations into NSG mice were also labelled with phycoerythrin (PE)–conjugated anti-human CD45 and allophycocyanin (APC)–conjugated anti-mouse CD45 antibodies (BD Biosciences) before resuspension in PBS and DAPI in order to identify and sort the human leukaemic cells.
Single Cell Sorting and multiplex Q-PCR analysis
Single cell sorting was carried out after staining, according to our established protocol, as previously described (23). Briefly, single cells were sorted from each case into individual wells of a 96 well plate and lysed. The DNA target region of interest, including patient specific gene fusions, SNVs and CNAs, was amplified. We collected 252-336 cells from the diagnostic ALL samples, 81-252 cells from PDX and 48 cord blood cells (normal diploid control). A cell was called positive for a SNP (or SNV) if the Q-PCR cycle threshold (CT) value was below 28. We used a modified version of the ΔΔCT method (Applied Biosystems, Life Technologies Ltd.) to integrate results from multiple Taqman assays targeting the same region to determine the relative copy number for each locus. The use of multiple assays to target one region increased the accuracy of attributed CNAs. The resulting reaction mix was then diluted and Q-PCR completed using the 96x96 dynamic array and the BioMark™ HD from Fluidigm.
Several approaches were adopted during this experiment to optimise and confirm the presence of single cells and ensure that all assays performed efficiently under experimental conditions (23). Assay error rates in these experiments were zero. Single cell data removed from the Q-PCR analysis included those from wells with no data (no cell) and those wells in which all B2M assays did not have a strong signal (<25 CT). On average this accounted for the removal of ~9% of data points. Only mutational spectra occurring in more than one cell were included in the analysis.
Results
To explore whether IGH-CRLF2 and P2RY8-CRLF2 were early or late events in the evolution of B-ALL, we performed multiple colour FISH on 47 ALL patient samples to track the CRLF2-r (IGH-CRLF2, n=10, P2RY8-CRLF2, n=37) and deletions common in ALL: IKZF1 and/or CDKN2A/B and/or PAX5.
IGH-CRLF2 is an early event in B-ALL
In those patients with IGH-CRLF2 bone marrow blast counts at diagnosis correlated with the percentage of abnormal blasts detected by multiple colour FISH (Supplementary Table 1), suggesting that the tracked abnormalities were present in the major leukaemic clone. In 80% (8/10), IGH-CRLF2 was a clonal event, either presenting first in the majority of cells in four patients, or together with other tracked abnormalities in four patients (examples of FISH signal patterns are shown in Figures 1A and 1B).
P2RY8-CRLF2 is an early event in B-ALL
In 73% (27/37) of patients with P2RY8-CRLF2, the bone marrow blast counts at diagnosis correlated with the percentage of abnormal blasts detected by multiple colour FISH (Supplementary Table 1). P2RY8-CRLF2 presented as the first tracked abnormality in 9/27 patients and together with other abnormalities in 18/27 patients (for one case only relapse material was available; 6897) (examples of FISH signal patterns are shown in Figures 1C and 1D).
CRLF2-r are observed as sub-clonal events in B-ALL
While most patients with IGH-CRLF2 have the rearrangement as an early event in leukaemogenesis, in two IGH-CRLF2 patients (3789 and 3141), loss of IKZF1 was detected as the earliest event with IGH-CRLF2 observed only in a sub-clone (example from patient 3789 is shown in Figure 2A). Patient 3141 had two subsequent relapses; at second relapse, the IKZF1 deletion was present in 64% of cells compared to 33% for IGH-CRLF2 as assessed by individual FISH tests (data not shown). These data confirm the sub-clonal nature of IGH-CRLF2 in this patient.
Similarly, the sub-clonal nature of P2RY8-CRLF2 was observed in 24% (9/37) of the patients, where the percentage of abnormal cells detected by FISH was notably less than the blast count at diagnosis, suggesting that the earliest events remained undetected in these patients (Supplementary Table 1). Of particular interest was patient 2017, where monoallelic loss of CDKN2A/B and PAX5 preceded the formation of the fusion (Figure 2B). Of the two or three abnormalities tracked by FISH, P2RY8-CRLF2 presented first in 4/9 patients and together with other abnormalities in 5/9 patients.
Parallel evolution occurs in the development of CRLF2-r ALL
In five P2RY8-CRLF2 patients, evidence of parallel evolution of cells containing abnormalities of one or more genes was observed (Figure 3A-E). In three patients (12200, 3173, 4954), four sub-clones were identified. In patients 12200 and 3173, (Figure 3A and B, respectively), clones harbouring either the P2RY8-CRLF2 fusion or loss of CDKN2A/B or IKZF1, respectively, occurred in sub-clones. The main clone seen at diagnosis must have evolved from a cell that acquired both abnormalities giving it a competitive advantage over the other sub-clone. In patient 4954 (Figure 3C), the P2RY8-CRLF2 fusion was present together with either, loss of one or two copies of CDKN2A/B and loss of one copy of IKZF1. These data suggest that CDKN2A/B undergoes deletions in independent sub-clones. The main clone seen at diagnosis must have evolved from a cell that acquired all three abnormalities giving it a competitive advantage over the other sub-clone.
In patients 20753 and 5817, the parallel clones were defined by the CRLF2-r. In patient 20753 (Figure 3D), one sub-clone gained an extra P2RY8-CRLF2 fusion with subsequent loss of a single copy of PAX5 prior to the loss of the second copy of IKZF1. In patient 5817 (Figure 3E), the sub-clones harboured either a CRLF2-r with loss of one copy of IKZF1 (9%) or P2RY8-CRLF2 alone (17%). Identical parallel evolution was found in patient 21572 (Figure 3F). The parallel clones were defined by an IGH-CRLF2 translocation alone or a CRLF2-r coupled with loss of one copy of IKZF1. Together these data suggest the sub-clonal architecture observed in these cases could only have occurred if IKZF1 and/or CDKN2A/B undergo deletions in independent sub-clones.
Single cell multiplex Q-PCR identified linear and branching development of CRLF2-r ALL
Whilst FISH allowed the detection of a small number of large SVs, it was not possible to investigate associations between small CNAs and SNVs. Single cell multiplex Q-PCR allowed a more comprehensive analysis of four patients. Individual cells were sorted from the leukaemia sample and assayed by multiplex Q-PCR for the presence of specific genetic aberrations previously identified from WGS and WES (26). A similar assessment was carried out using unsorted PDX ALL cells from the same patients in order to determine self-renewal properties of discrete clones. From these samples and expanded single cell data, we were able to define detailed clonal architectures in which genetically distinct sub-clones were characterised by SVs, SNVs and CNAs (Figure 4).
In non-DS-ALL patients 11543 and 21819 a linear architecture was observed (Figure 4A and B). In patient 11543 (Figure 4A) the IGH-CRLF2 translocation was secondary to multiple CNAs and SNVs, including an initial IKZF1 deletion, with a second IKZF1 deletion occurring after the acquisition of the IGH-CRLF2 translocation. The architecture was recapitulated in both xenograft bone marrow and spleen cells, suggesting that all sub-clones possessed self-renewal properties. In patient 21819 (Figure 4B) the P2RY8-CRLF2 fusion was secondary to loss of IKZF1 and CDKN2A (Figure 4C). Serial xenograft transplants were ultimately populated by the major P2RY8-CRLF2 containing clone seen at diagnosis.
In contrast, the two DS-ALL patients, 19599 and 11538, showed a branching sub-clonal architecture where the CRLF2-r was one of several structural alterations that defined the earliest identified clone (Figure 4C and D). In patient 19599 (Figure 4C) the sub-clonal architecture was defined by discrete IKZF1 and JAK2 mutations. A single evolved clone from the diagnostic sample engrafted into both spleen and bone marrow of transplanted mice, suggesting that the other sub-clones had a reduced self-renewal ability. In patient 11538 (Figure 4D) the sub-clonal architecture was defined by multiple IKZF1 events and additional mutations that were secondary to the P2RY8-CRLF2 fusion. Whilst the architecture was recapitulated in the xenograft, the major clones at diagnosis were present as minor clones in the xenografts.
Whilst multiple mice were not analysed by single cell QPCR for each sample, FISH was completed and showed comparable results (data not shown).
Discussion
In several blood cell cancers there appears to be a preferential order of mutations, including in ALL (20, 21, 29, 30), AML (31) and MDS (32–34). To determine whether IGH-CRLF2 and P2RY8-CRLF2 were early or late events in the evolution of B-ALL, we carried out single cell analysis using both FISH and multiplex Q-PCR of 51 DS and non-DS-ALL patients. Forty-seven were investigated by FISH for specific rearrangements including P2RY8-CRLF2 or IGH-CRLF2 coupled with deletions of IKZF1, PAX5 or CDKN2A/B. The remaining four cases underwent a more detailed analysis using multiplex Q-PCR for multiple patient specific SVs, SNVs and CNAs.
CRLF2-r were observed as common early events in the majority of patients studied, including DS and non-DS-ALL patients. However, the P2RY8-CRLF2 fusion was also found to be sub-clonal in approximately one quarter of patients investigated. The sub-clonal nature of the P2RY8-CRLF2 fusion has previously been reported (17). In contrast, the early nature of both IGH-CRLF2 and P2RY8-CRLF2 in DS-ALL was recently reported, where 92% (11/12) of patients retained these rearrangements at relapse. The authors suggested that both rearrangements were early events in leukaemogenesis which may play important roles at relapse (18). However, other evidence suggests that relapse in ALL can originate from sub-clones distributed anywhere in the phylogenetic architecture of the cancer (20, 35–37), indicating that the preservation of any individual genetic lesion in relapse does not necessarily reflect a founder, early or truncal status.
In the present study, six patients showed the potential development of two independent leukaemias with clones showing parallel evolution driven by reiterative CNAs within the same genes. In three patients with P2RY8-CRLF2 loss of one copy of the other tracked gene occurred in discrete populations. The bulk of the leukaemia then evolved from a cell acquiring both abnormalities. In the remaining three patients the parallel clones were defined by distinct early CRLF2-r. The presence of reiterative genetic changes has been reported in ALL before (20, 38) and they are thought to arise by RAG-mediated mutagenesis (22). Reiterative mutation is a relatively common feature in other cancers (39) reflecting convergent (or parallel) evolution in the context of common selective pressures. It is also important to consider that we are analysing one sample at a single time point in the development of this disease. It is not always possible to determine the precise temporal order in which events take place during tumour development unless representative populations of all ancestral clones remain at diagnosis. In those where we observed the CRLF2-r and deletions of other genes as the earliest identifiable events, it is possible that they arose sequentially with the earliest events no longer being present at diagnosis. The limited sensitivity of FISH for detecting these rare clones impacts how precise we can be in mapping the temporal order of tumour development.
Sub-clonal heterogeneity and clonal selection has been studied in many haematological diseases, highlighting the importance of understanding sub-clonal architecture in relation to therapeutic decisions regarding individual patients (38, 40, 41). Single cell multiplex Q-PCR in two DS-ALL patients revealed the presence of IGH-CRLF2 or P2RY8-CRLF2 in the earliest clone, together with a multitude of SNVs and other CNAs. These patients showed a complex branching tree structure with reiterative deletions and mutations occurring in different sub-clonal populations. In contrast, the leukaemia in the two non-DS-ALL patients appeared to evolve in a linear non-branching manner with IGH-CRLF2 or P2RY8-CRLF2 occurring on a background of SNVs or CNAs and arising later in leukaemia development. These data suggest that IGH-CRLF2 and P2RY8-CRLF2 could be earlier events in DS-ALL compared to non-DS-ALL. Although our results suggest that there is no difference between DS and non-DS ALL, we are - despite simultaneously tracking several alterations - still likely underestimating the complexity of clonal phylogeny.
The application of single cell Q-PCR to PDX cells demonstrated that in three of the four patients, the majority of clones identified at diagnosis had leukaemia propagating capacity, being present in both bone marrow and spleen in primary and second generation mice. In the PDX cells from patient 19599, only one sub-clone engrafted, suggesting that either the other sub-clones did not have self-propagating capacity, or that they were below the level of detection within the diagnostic sample. Such findings have been previously reported, in which analysis of CNAs from mice injected with as few as 100 cells remained highly related to the diagnostic sample, with only a few novel deletions arising in the primary mice (42). In some samples, clonal outgrowth of the dominant diagnostic clone was observed; however, in others they observed outgrowth of sub-clones (42). The outgrowth of certain clones would not necessarily mean the clones that are no longer present are incapable of self-renewal, but are less suited to the murine environment.
Evolution of cancer was initially assumed to be driven by a steady accumulation of genomic abnormalities over time. However, others have suggested that the presence of explosive changes caused by global genomic instability (43), a chromothripsis event (44) or the effect of a single high impact mutation (45, 46) may be responsible. Previous work has postulated that additional copies of chromosome 21 can promote genomic instability (47, 48). Interestingly, among the four patients studied here by multiplex Q-PCR, three showed a large number of abnormalities in the earliest clone (range 11-20), suggesting that either a single or series of explosive events may have occurred creating a backbone of aberrations upon which further evolution could take place. Notably these three patients had either constitutional or somatic gain of chromosome 21 either.
In summary, our data indicates that CRLF2-r co-operate with multiple additional genetic alterations in ALL and that there appears to be no major restraint on whether CRLF2-r arise early as a founder or truncal event or later in clonal evolution.
Supplementary Material
Acknowledgements
The authors would like to thank The Kay Kendall Leukaemia Fund, Leuka, Children with Cancer UK and Bloodwise (formerly Leukaemia and Lymphoma Research) for financial support. Lisa J Russell has a John Goldman Fellowship from Leuka. We also thank member laboratories of the United Kingdom Cancer Cytogenetic Group (UKCCG) for providing cytogenetic data and material. We are grateful to all the members of the NCRI Haematological Oncology Adult ALL Subgroup and the NCRI Childhood Cancer and Leukaemia Group (CCLG) Leukaemia Subgroup. Primary childhood leukaemia samples used in this study were provided by the Bloodwise Childhood Leukaemia Cell Bank working with the laboratory teams in the Bristol Genetics Laboratory, Southmead Hospital, Bristol: Molecular Biology Laboratory, Royal Hospital for Sick Children, Glasgow: Molecular Haematology Laboratory, Royal London Hospital, London: Molecular Genetics Service and Sheffield Children’s Hospital, Sheffield. We also thank the Central England Haemato-Oncology Research Biobank for providing patient samples. Finally, we thank all the clinicians who entered patients into the trial and the patients and families who agreed to take part.
Sources of support – Financial support from Kay Kendall Leukaemia Fund, Children with Cancer UK, Bloodwise, Wellcome Trust, Leuka and the North of England’s Children’s Cancer Research Fund.
Footnotes
Conflict of Interest - All authors have no conflicts of interest to disclose.
Data availability
Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
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