Background
Acute lymphoblastic leukemia (ALL) is a hematological malignancy of lymphoid progenitor cells, with accumulation of genomic lesions leading to abnormal proliferation [
1]. ALL is a heterogenous disease but can be classified by immunophenotyping mainly as B-cell precursor-ALL (BCP-ALL) (85%) or T-cell ALL (T-ALL) (15%). With recent advances in treatment, risk stratification, and in supportive care, the event-free survival rate (EFS) for childhood ALL has increased to > 90% [
2]. However, T-ALLs remain challenging and have an unsatisfactory rate of refractory disease and relapses. 20–30% of pediatric T-ALL cases relapse, and the five-year overall survival rate after relapse is less than 20% [
3].
On the one hand, T-ALL is characterized by extensive genetic heterogeneity, therefore developing broadly applicable molecular targeted therapies poses significant challenges [
4]. On the other hand, paucity of leukemia-specific T-ALL epitopes and T-cell fratricide due to shared expression of targetable antigens on both malignant and healthy T-cells challenge the development of T-cell-based immunotherapies [
5]. Consequently, there are fewer available targeted therapies and limited immunotherapeutic options for T-ALL patients than for BCP-ALL [
4].
Over the past decades, many genetic abnormalities were identified in T-ALL. Notably, chromosomal translocations of oncogenes (e.g. transcription factors) and the
T-cell receptor (
TCR) loci can lead to aberrant expression driven by the
TCR promoter activity, resulting in dysregulated T-cell differentiation and proliferation [
6].
LMO1/2, TAL1/2, or
TLX1 are frequently translocated to the
TCR locus. In addition, recurrent gene–gene fusion events (20–30% in T-ALL) lead to overexpression of wild type proteins (e.g.
STIL::TAL) [
7] or fusion proteins with aberrant protein functions (e.g.
NUP214::ABL1) [
8].
More recently, next-generation sequencing has extended the repertoire of genetic and epigenetic abnormalities in T-ALL uncovering a wide range of heterogenous mutations [
9,
10]. Of note, an immunophenotypic subtype of T-ALL (early T-cell progenitor, ETP-ALL) shows a specific gene mutation pattern, marked by mutations within genes regulating cytokine receptors and RAS signaling [
11].
In this study, we utilized data from our targeted panel for genomic capture high-throughput sequencing (gc-HTS) that we utilize to select molecular MRD markers to identify novel fusion partners of commonly translocated genes in T-ALL [
12]. We screened
n = 229 cases of T-ALL and identified
n = 60 gene–gene fusions in 25% of the patients. Among those we identified several gene fusion events that have not been previously described in T-ALL. Notably, a near ETP-ALL sample exhibited a previously unrecognized
ETV6-fusion gene with transforming potential. Our results indicate that
PRKCE::ETV6 expression induces cytokine-independent growth and survival in Ba/F3 pro-B cells and D1 T-cells compatible with an oncogenic driver mutation in ETP-ALL.
Discussion
Several genetic alterations have previously been described to exert an influence on the pathogenesis of T-ALL [
22]. Abnormalities such as aberrant expression of transcription factors or cell cycle regulators, as well as fusion genes resulting from chromosomal translocations, are frequent and lead to aberrant differentiation, proliferation and apoptosis of T-cell progenitors [
23]. Here, we identified novel and recurrent gene fusion partners for commonly translocated genes in ALL with potential driving capacities by utilization of targeted gc-HTS.
The most common gene–gene fusion is
STIL::TAL1, arising from a submicroscopic interstitial deletion between
STIL and
TAL1. In line with literature, we identified
STIL:TAL1 in 17% of our cases [
7]. In our cohort,
STIL::TAL1 had no impact on EFS. Interestingly, we identified two
JAK2 rearrangements, the novel
CEP120::JAK2 fusion and
PCM1::JAK2, which has so far only been reported in two T-ALL [
15]. The latter was found in a case of therapy-refractory disease and nowadays, such a patient could benefit from treatment with Ruxolitinib [
24].
The
ETV6 gene has been identified to play a role in the development of multiple hematologic malignancies [
25]. As a member of the E26 transformation specific (ETS) family of transcription factors, ETV6 contains three major functional domains. The C-terminal ETS-domain mediates specific DNA-binding activities, while the sterile alpha motif (SAM) domain facilitates together with the internal domain protein–protein interactions with ETS-factors [
26]. Various single nucleotide variations (SNVs) and chromosomal translocations involving
ETV6 have been identified that lead to leukemic development [
27,
28]. While most of the ETS-domain proteins are transcriptional activators, ETV6 has been found to act as a strong transcriptional repressor [
29].
Here, we found three patients with
ETV6-fusions, namely
MN1::ETV6, ETV6::CRX, and
PRKCE::ETV6/ETV6::INO80D, resulting from a complex rearrangement involving chromosome 2 and 12.
MN1::ETV6 is a recurrent translocation in AML but to our knowledge, this is the first reported case in T-ALL [
30].
ETV6::CRX has recently been described in an ETP-ALL patient, where the CRX homeodomain was postulated to induce a T-cell differentiation block [
16].
ETV6::INO80D has been described in two ETP-ALL cases but none of these patients had the co-translocation with
PRKCE [
11]. Interestingly, all three
ETV6-translocated cases in our cohort show a near ETP immunophenotype, consistent with the findings by Van Vlierberghe et al., who postulated a predominant occurrence of
ETV6 mutations in undifferentiated T-ALL [
28]. The term “near ETP-ALL” refers to a group of T-ALL that shares a comparable genotype and phenotype as ETP-ALL but exhibits higher CD5 expression levels [
16]. ETP-ALL has recently been defined by the WHO as a high-risk subtype of T-ALL, accounting for 11–12% of pediatric ALL cases [
31]. Originating from early T-cell precursors, multilineage pluripotency is retained and it displays a distinct immunophenotypic and genomic profile compared to other subtypes of T-ALL.
The novel in-frame fusion
PRKCE::ETV6 results in a PRKCE::ETV6 fusion protein, containing C2-domain of PRKCE and ETS-domain of ETV6. Since the kinase domain is not contained the PRKCE::ETV6 fusion protein, we propose that the oncogenic potential of PRKCE::ETV6 fusion protein might arise from dysregulated protein–protein interaction, leading to aberrant transcriptional regulation of ETV6 target genes. The fusion was identified in a child with near ETP-ALL ultimately undergoing HSCT. Like ETP-ALL, near ETP-ALL show five-fold higher rates of induction failure compared to non-ETP T-ALL subgroups, but near ETP-ALL is not associated with an inferior survival [
16]. However, Wood et al. demonstrated that near ETP-ALL patients with a day-29 MRD ≥ 0.1% exhibited reduced OS and 5-year EFS, which was not observed in patients with ETP-ALL [
16]. Another study demonstrated that outcomes for these patients were improved by allogenic HSCT [
32]. These findings suggest that intensified treatment strategies, including HSCT, may enhance survival rates in childhood ETP-ALL [
33]. Given the high rate of induction failure, Wood et al. postulates an early therapy intensification may be necessary, targeting resistance pathways specific to ETP-ALL [
16].
Since MRD is such a crucial parameter for therapy guidance, the choice of a stable molecular MRD marker is essential for an appropriate therapy regiment. Most patients are monitored via the quantification of leukemia specific
TCR or
immunoglobulin (
IG) sequences by real time PCR. However, consistent with its undifferentiated phenotype, ETP-ALL and near ETP-ALL frequently lack
TCR or
IG gene rearrangement, which hampers the identification of molecular MRD marker [
34]. Unfortunately, results from the morphological analysis reveal that significant discrepancies can occur, as demonstrated post-HSCT, where relapse of blasts was excluded by chimerism analysis. The morphological assessment indicated over 15% blasts, reflecting regenerating donor-derived cells rather than a relapse of the original malignancy, particularly as the patient has remained in remission to date. Therefore, alternative genomic markers are required to allow highly sensitive molecular MRD monitoring and genomic breakpoints resulting from chromosomal translocations are in focus of MRD researchers. For example, Hoffmann et al. presented that
ETV6::RUNX1 breakpoints represent sensitive and stable markers for MRD in ALL [
35]. In this patient, the
PRKCE::
ETV6 fusion might be a driver mutation that could be exploited as a potential marker for molecular MRD in the future. However, as we have previously demonstrated, the careful selection of an appropriate qPCR-MRD marker plays a crucial role in the accurate patient stratification [
14]. Uncommon genomic breakpoints need to be evaluated carefully before utilization for MRD.
INO80D is an essential regulator for chromatin remodeling and genome integrity and we reasoned that it acts as a tumor suppressor [
36]. Unexpectedly, our in vitro studies show that only
PRKCE::ETV6 single and
PRKCE::ETV6/ETV6::INO80D double transduced Ba/F3 cells maintain proliferation capacities after IL-3 withdrawal.
ETV6::INO80D alone did not show any transforming potential. To confirm these findings in a more relevant T-cell lineage context we transduced D1-cells as well. D1 is a murine thymocyte cell line that is IL-7-dependent for survival and growth in vitro [
37]. In line with our findings in the Ba/F3 pro-B cell model,
PRKCE::ETV6 rescues D1 T-cells from cell death. Altogether, these data provide evidence that
PRKCE::ETV6 represents a biological active gene–gene fusion event that qualifies as a reliable MRD target in this near ETP-ALL.
Methods
Patient samples
We screened a patient cohort of 229 T-ALL, recruited for COALL03 (n = 89), COALL09 (n = 108), COALL20 (n = 23) and Alltogether1 (n = 9). Clinical information and hematological values were retrieved from patient files. The Ethics Committee of the Hamburg Medical Association gave the ethics vote PVN7286. The study was performed in accordance with the Declaration of Helsinki. Written informed consent was obtained from all patients and/or their legal representatives. All sample IDs are completely pseudonymized.
gc-HTS
To detect gene–gene fusions in T-ALL cases we utilized our targeted genomic capture high-throughput sequencing (gc-HTS) approach. Method is described elsewhere in detail [
13]. Beside the
TCR and
immunoglobulin loci, we capture the loci of
ETV6, KMT2A, TCF3, TAL1, ABL1/2, PDGFRb, CSF1R, EPOR, and
JAK2. Chromosomal coordinates from the probes are listed in Supplemental Table 1. We used genomic DNA from bone marrow (BM) or peripheral blood (PB) from day of diagnosis for the screen. Gene fusions were detected by Segemehl [
13].
RNA isolation, cDNA synthesis and qPCR
RNA was isolated from 5–10 mio. cells from with RNeasy Mini Kit (QIAGEN) and reverse transcribed to cDNA by M-MLV reverse transcription from Promega for 1 h at 37 °C using random primers (Promega), both appropriate to the manufacturer’s instructions. Quantitative qPCR was performed with SYBR Green I (Roche), according to the manufacturer’s instructions. Sanger sequencing of the qPCR products was performed with according primers at Microsynth Seqlab GmbH. Primer sequences are listed in Table
2.
Table 2
Overview of primers for qPCR, Sanger sequencing, and cloning
CALM2::ABL1 | ATGATCAGGGAAGCAGATATTGAT | TGAGGCTCAAAGTCAGATGC |
CEP120::JAK2 | TGGAATCTGCAACTAAGTCTAAACT | ATCCCGGTCTTCAAAGGCAC |
ETV6::CRX | ACCACATCATGGTCTCTGTCT | CGCTCCCGCCGCTGCT |
ETV6::INO80D | CAACCTCTCTCATCGGGAAG | CGAGAGAAGTTACAGCCTGC |
PRKCE::ETV6 | ATTGATCTGGAGCCAGAAGGAA | AGCAACTGATAGACGTAATCCC |
KMT2A::STK4 | ACCACAGGATGGAGACTACG | CTCTTGCTGATGGGGTAGGT |
MN1::ETV6 | CAGAACCCCAACAGCAAAGAA | GTGTTGCTGTCAATTGGCCTTA |
PCM1::JAK2 | CGTCTGCACAGGCCAGCCTG | GTCCTGTAGAGGGTCATACC |
SLC12A6::NUTM1 | CTTCGCTGGCAACTGTTGCA | GTTGGTGGGAGAAAGGGAAGT |
ETV6_WT | TGACCAAAGAGGACTTTCGCTAT | GAATCCGAGGTTTCCTCTGC |
INO80D_WT | CCAGCGCCTCTCACTCTG | AATGCCGCAGAATCAGGATGAA |
PRKCE_WT | CATCCAGTTTGAGGAGCTGC | ACTCTTCCTTCTGGCTCCAG |
PRKCE::ETV6 full length | ATGGTAGTGTTCAATGGCCTTCT | TCAGCATTCATCTTCTTGGTATATTT (Flag-Tag: TCACTTGTCGTCATCGTCTTTGTAGTC GCATTCATCTTCTTGGTATATTT) |
ETV6::INO80D full length | ATGTCTGAGACTCCTGCTCAG | TCAGTTAGGGGAGGGAAAGG (HA-Tag: TCAAGCGTAATCTGGAACATC GTATGGGTAGTTAGGGGAGGGAAAGG) |
Relative quantification
Relative expression levels were depicted after normalization to beta-2-microglobulin (B2M; human) or mGAPDH (murine) as a reference gene (2^-ΔΔCt*1000). Mononuclear cells from peripheral blood (PBMCs) from healthy donors were used as normal controls.
Molecular MRD quantification
Quantification of gBP as molecular MRD markers followed EUROMRD guidelines [
38]. Primer and probes are P::E-fw CAGGATGGCTCAGATCAGATTTA, P::E-rv GCTCAGATCAGATTTAGGGAACA, P::E-TM ACGTTTGATGCTCTCTGCCTTGCA, E::I-fw TCAAGTTTTCCTGGAAAACAGC, E::I-rv TTGAGCACAACACTAAATGCC, E::I-TM TGGTATTGCCTATGTCTGCTTCCATGC.
Cloning of full-length transcripts
The fusion transcripts were amplified by using the TOPO XL-2 complete PCR Cloning Kit, with One Shot™ OmniMAX™ 2 T1
R Chemically Competent
E. coli Cells (Thermo Fisher Scientific) and full-length primer sets (Table
2). 3’ Flag-tag to
PRKCE::ETV6 and 3’ HA-tag to
ETV6::INO80D were added by PCR with indicated primers (Table
2). Tagged full length constructs were subcloned into pLenti-LeGO-eGFP or -mCherry, using T4 DNA ligase (Thermo Fisher Scientific).
Cell culture
Human embryonic kidney 293 T (HEK293T) cells were cultured in DMEM (gibco) supplemented with 10% FBS (gibco), 2% HEPES Buffer Solution (1 M) (gibco), 1% sodium pyruvate (100 mM) (gibco). Ba/F3 cells were cultured 1 × 105/ml in RPMI 1640 medium (gibco) supplemented with 10% heat inactivated (h.i.) FBS (gibco) and 10 ng/ml recombinant murine interleukin-3 (PeproTech). D1 cells were cultured 5 × 105/ml in RPMI 1640 medium (gibco) supplemented with 10% h.i. FBS (gibco), 2% HEPES Buffer Solution (1 M) (gibco) and 25 ng/ml recombinant murine IL-7 (biolegend). All cells were incubated at 37 °C and 5% CO2.
Lentiviral transduction
Lentiviral transduction was described in detail elsewhere [
39]. Successful transduction of Ba/F3 and D1 cells was verified 48 h later with fluorescence activated cell sorting (FACS). Two weeks post-transduction eGFP-/mCherry positive cells were purified by FACS.
Proliferation and viability assays
For long-term viability and proliferation experiments transduced cells were seeded without interleukin supplementation as triplicates in 24-well plates. Ba/F3 cells were seeded at a concentration of 1 × 105/ml and D1 cells at a density of 5 × 105/ml. Cell counts and viability of Ba/F3 and D1 cells were assessed on day 2, day 3, and day 4 using Trypan Blue and Countess 3 (Thermo Fisher Scientific). Results represent average values of three independent replicates.
Western blot analysis
Cells were lysed with Ripa Lysis Buffer (ChemCruz) complemented with PMSF, sodium orthovanadate and protease inhibitor cocktail (all from Santa Cruz) and sonicated with the Bioruptor™ (Diagenode). The samples were loaded on NuPAGE™ 4–12% Bis–Tris Gel (Thermo Fisher Scientific) with 1X MES SDS Running Buffer (Thermo Fisher Scientific, NuPAGE®, 20X). Protein gels were transferred as a wet-blot at 100 V (equals to 200 mA), using Towbin-Buffer (6.06 g Tris, 28.8 g Glycine, 400 ml Methanol, 1600 ml H2O), Whatman paper and Nitrocellulose Blotting Membrane (GE Healthcare, Amersham™ Protran™ 0.45 µm NC). Following antibodies were used: 1:500 monoclonal Anti Flag-tag antibody (Lot: #VC296117, Thermos Fisher Scientific), 1:1000 Anti HA-Tag monoclonal antibody (Lot: #ZF393513, Thermo Fisher Scientific), 1:5000 Monoclonal Anti-ß-Actin (Lot: 067M4856V, Sigma), 1:20.000 IRDye® 800CW Goat anti-rabbit IgG (Lot: #D30425-15, Li-Cor), 1:20.000 IRDye® 680RD Goat anti-mouse IgG (Lot: #D30418-05, Li-Cor). Images were acquired and analyzed using Odyssey XF Imager (Li-Cor).
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