Background
8p11 myeloproliferative syndrome (EMS), which is characterized by translocation of the fibroblast growth factor receptor-1 (FGFR1) gene at the 8p11-12 chromosome locus, is recognized as a distinct entity in 2016 World Health Organization (WHO) classification [
1,
2]. EMS patients may be initially diagnosed as myelodysplastic syndromes (MDS) and typically present with bilineage disease (myeloid and lymphoid) and rapid progression to acute myeloid leukemia (AML, ~80%) or T- or B-cell lymphomas [
1]. These patients are resistant to current therapeutic regimens including tyrosine kinase inhibitors (TKIs) and have a 5-year survival rate of < 20% [
2,
3]. Currently, allogeneic hematopoietic stem-cell transplantation is the only potentially curative therapeutic option to prolong survival [
3,
4]. Thus, there is an urgent need for alternative treatment plans for patients who are either awaiting or unable to receive transplantation.
To date, at least 16 different partner genes of FGFR1 fusion have been identified: ZMYM2 [
5‐
7], FGFR1OP [
8], CNTRL [
9], ERVK3-1 [
10], BCR [
11,
12], NUP98 [
13], FGFR1OP2 [
14], TRIM24 [
15], MYO18A [
16], CPSF6 [
17], LRRFIP1 [
18], CUX1 [
19], TPR [
20], RANBP2 [
21], SQSTM1 [
22], and TFG [
23]. Among them, ZMYM2 and BCR are the most common partner genes [
1]. Although all FGFR1 rearrangement cases consistently show constitutive activation of FGFR1 kinase, substantial heterogeneity of clinical presentation is exhibited depending on the specific nature of the partner gene [
1,
23,
24]. HOOK3 is an adaptor protein with roles in microtubule-dependent intracellular vesicles and protein trafficking. A high level of HOOK3 expression is associated with poor prognosis in prostate cancer [
25]. However, HOOK3 has not been reported to form oncogenic fusions as the 5’ partner with FGFR1 in hematological malignancies.
Previous research has demonstrated that FGFR1 fusion protein can activate NOTCH1 signaling or tyrosine phosphorylation of downstream targets, such as FLT3, MYC, and STAT5, in human cells and mouse models [
26‐
29]. Highly expressed FGFR1 has the potential to promote nuclear factor-kappaB (NF-kappaB) signaling in cancer [
30,
31]. However, the relationship between the FGFR1 fusion gene and NF-kappaB pathway remains unclear. In the present study, we performed RNA sequencing (RNA-seq) of 20 MDS patients and identified a novel in-frame HOOK3-FGFR1 fusion gene in one MDS case accompanied by abnormal monoclonal B-cell lymphocytosis. We then validated this finding with the structure of HOOK3 exons 1-11 joining to FGFR1 exons 10-18, and Western blot confirmed the presence of chimeric HOOK3-FGFR1 fusion protein. We also observed significant enrichment of NF-kappaB signaling as the transcriptomic signature in the FGFR1 fusion positive case compared with the healthy donors and FGFR1 fusion negative cases. Furthermore, phosphorylated p65, IKB-alpha, and TAK1 were shown to be up-regulated in HOOK3-FGFR1 cells based on the RayBiotech NF-kappaB pathway phosphorylation arrays. The NF-kappaB activation induced by HOOK3-FGFR1 fusion provides potential target for combination therapy of FGFR1 rearrangement patients.
Materials and methods
Patients and samples
We collected bone marrow (BM) samples from MDS patients (n = 20) and healthy donors (n = 8) between February 1, 2019 and June 10, 2021. Detailed clinical information about the MDS patients is summarized in Additional file
1: Table S1. This study was approved by the Research Ethics Board of the Second Hospital of Dalian Medical University and was performed in accordance with the Declaration of Helsinki. Written informed consent was obtained from all participants.
Cytogenetics and fluorescence in situ hybridization (FISH)
The FISH technique was used for karyotype analysis following standard clinical protocols. Briefly, 200 interphase cells and 200 metaphase cells were analyzed for disruptions in FGFR1. The nuclei were probed using the FGFR1 Break-apart/Amplification probe (LPS018, CytoCell, UK), which comprises a green 272 kb probe and a red 267 kb probe positioned on the 3’ and 5’ ends of the FGFR1 gene, respectively. We considered a case to be positive when > 15% of cells displayed separation signals.
Immunophenotyping
For the bone marrow samples of HOOK3-FGFR1 positive patient, we analyzed the bone marrow using flow cytometry with a mixed set of monoclonal antibodies. The panel of antibodies included: CD45-PerCP, CD117-APC, anti-HLA-DR-APC, CD34-PE, CD38-FITC, CD11b-APC, CD13-PE, CD33-PE, CD14-FITC, CD15-FITC, CD16-FITC, CD41a-FITC, CD42b-PE, CD61-FITC, CD36-FITC, CD64-PE, CD71-APC, CD300e-APC, CD235a-PE, CD10-PE, CD19-PerCP, CD20-PE, CD22-FITC, cCD79a-PE, cAnti-Lambda-PE, cAnti-Kappa-FITC, CD138-APC, CD56-PacificBlue-A, CD3-APC or CD3-FITC, cytoplasmic CD3 (cCD3-APC), CD4-PE, CD5-FITC, CD7-FITC. The data were acquired and analyzed using a FACS BD LSR Fortessa flow cytometer with the aid of FACSDiva software (v8.0.1, Becton Dickinson, San José, CA, USA).
DNA and total RNA were extracted from cryopreserved mononucleated cells (MNCs) using the All Prep DNA/RNA Mini Kit (Qiagen Company, Cat. 80,204). RNA concentration and purity were measured using a Qubit 2.0 Fluorometer (Life Technologies) and Bioanalyzer 2100 (Agilent Technologies).
Libraries were prepared according to the protocol of the TruSeq RNA/TruSeq DNA Sample Preparation Kit (Illumina) and the library quality was assessed using Bioanalyzer 2100 (Agilent Technologies). Massively parallel RNA-seq and whole exome sequencing (WES) were performed on a NovaSeq platform with paired-end 150 bp read-length by the Novogene Company (Beijing, China).
Mutation analysis
Target mutation analysis was performed on the patient samples (n = 20) using a panel of 38 commonly mutated genes in myeloid hematologic malignancies. The full list of the tested genes is available in Additional file
1: Table S2. For the HOOK3-FGFR1 positive patient, we identified variants from the WES data under the GATK pipeline and annotated the variants using ANNOVAR. All mutations detected by WES and target sequencing are listed in Additional file
1: Table S3.
Detection of fusion transcripts and RNA expression analysis
We applied STAR-Fusion to detect the fusion transcripts (Additional file
1: Table S4). For gene expression, we mapped the sequencing data to the reference genome (hg38) using STAR [
32] and defined the transcript coordinates according to the gene annotation format file (GTF file) from GENCODE (Release 27, GRCh38). The gene expression abundances are reported as Reads Per Kilobase per Million mapped reads (RPKM) obtained using the Cufflinks package [
33]. The DESeq2 package from R (
http://cran.r-project.org/) was used to obtain the differential expressed genes between the HOOK3-FGFR1 positive samples and normal samples (Additional file
1: Table S5).
Pathway enrichment analysis
We selected the gene set enrichment analysis (GSEA) using the JAVA program (
http://software.broadinstitute.org/gsea/index.jsp) as the enrichment tool for data analysis [
34]. The molecular pathways correlated to HOOK3-FGFR1 fusion were identified by conducting 5,000 permutations using the Molecular Signatures Database (MSigDB). Statistical over-representation and enrichment gene sets were considered with nominal p-values ≤ 0.01.
Quantitative real-time PCR (qRT-PCR) and Sanger sequencing
PCR amplification was performed using the following primers: HOOK3 forward: 5′-GATCGACGTGCTGAGACA-3′ and FGFR1 reverse: 5′-CAACACCACCTGCCCAAA-3′. The PCR products were analyzed by 1% agarose gel electrophoresis at 110 V for 35 min and purified using a DNA Purification Kit (EasyPure® Quick Gel Extract Kit). Sanger sequencing was performed using the same primers (Sangon Biotech, Shanghai, China).
Cell culture and transfections
HEK293T cells were cultured in RPMI 1640 medium (Gibco, USA) with 10% fetal bovine serum (FBS, ExCell Bio, China). The cells were then incubated at 37 ℃ in 5% CO2. We amplified the full-length coding sequence of the HOOK3-FGFR1 fusion transcript from the primary patient (Case 1) and cloned it into the LVX-IRES-puro Vector (ShanghaiHarmonious One Biotechnology Co., Ltd, China). We used the liposome transfection method to transfect the lentiviral constructs with packaging plasmids PSPAX2 and PMD2G into HEK293 T cells to produce replication-deficient viruses. The supernatant was harvested 72 h later and riboprotein was produced by transiently transfecting 293T cells. After 72 h, the transfection efficiency was evaluated by Western blot using the FLAG antibody (#66008-3-Ig, Proteintech Group).
Phosphorylation antibody array
293 T Vector/HOOK3-FGFR1 (5 × 105) cells were plated in 10 cm dishes. Cells were then collected and the lysate was extracted. After dilution at 500 µg/ml with blocking buffer, the lysates were analyzed using a commercial NF-kappaB pathway phosphorylation antibody array (Cat: #AAH-NFKB-1-2; RayBiotech, Norcross, GA, USA) according to the manufacturer’s instructions. Briefly, the membranes were blocked with blocking buffer for 30 min at room temperature and incubated with 2 mL of the supernatants (diluted 1:2 in blocking buffer) for 2 h at room temperature. After washing, a biotin-conjugated antibody detection cocktail was added and incubated overnight at 4 °C, followed by an additional overnight incubation at 4 °C with streptavidin-conjugated peroxidase at room temperature. The membranes were then incubated with peroxidase substrate and the results were documented using XAR films. The chemiluminescence signaling intensity was quantified using Quantity One software (Bio-Rad).
Discussion
EMS patients characterized by FGFR1 rearrangements may be initially diagnosed as MDS [
1]. In this study, we performed DNA and RNA sequencing for a cohort of 20 MDS patients and 8 healthy donors. A novel HOOK3-FGFR1 fusion was identified in one MDS patient and the predicted fusion transcript and protein were validated by PCR and Western blot, respectively. Importantly, our findings provide new evidence that the HOOK3-FGFR1 fusion gene may contribute to the pathogenesis of EMS via activation of the NF-kappaB pathway.
In general, FGFR1 rearrangement patients are characterized by the following characteristics: (i) eosinophilia; (ii) lymphoid involvement; (iii) rapid transformation; and (iv) rearrangement of 8p11 locus [
1]. Our EMS patient showed coexistence of monoclonal B-lymphoid cells and myeloblasts, rearrangement of FGFR1, and aggressive progression leading to death within 3 months. However, this patient showed no evidence of eosinophilia, indicating the need to pay attention to the detection of FGFR1 fusion even in patients without eosinophilia. In addition, we confirmed that the ring chromosome is chromosome 8 (Fig.
3b). To date, ring chromosome 8 has been reported in one prostate cancer patient [
42] and four AML patients [
43‐
46]. Previous studies have reported that the presence of ring chromosomes is associated with genomic instability and leads to numerous secondary chromosome rearrangements [
47]. This suggests that ring chromosome 8 may be the reason for Case 1’s complex karyotype. In this patient, HOOK3-FGFR1 fusion was formed by inversion and was barely detected by conventional karyotype analysis because the two genes were closely adjacent to each other on chromosome 8. RNA-seq has the unique ability to identify such cryptic genomic lesions and intra-chromosomal fusions. Previous studies have reported that FGFR1 translocation can present in multiple lineages [
39,
40]. However, we did not detect a positive signal of FGFR1 abnormality in CD19
+ cells in this case. Further research is needed to confirm whether HOOK3-FGFR1 can induce the involvement of multiple lineages in a mouse model.
HOOK3 has critical functions in microtubule-based motors as an adapter protein [
48,
49]. Previous studies have reported that HOOK3 can serve as a fusion partner in gastrointestinal stromal tumor (GIST) and papillary thyroid carcinoma [
50,
51]. Specially, FGFR1-HOOK3 fusion has been reported in GIST with the structure of FGFR1 exons 2-17 joining to HOOK3 exons 5-22 [
51]. For our identified HOOK3-FGFR1 fusion gene, the breakpoints are separately located at the 11th exon of HOOK3 and the 10th exon of FGFR1 (Fig.
3c). HOOK3 protein contains one calponin-homology domain and two cytosolic coiled-coil domains. Some researchers have proposed that partner-enforced dimerization of FGFR1 is essential for EMS pathogenesis, and that the coiled-coil domain induces dimerization and activation of fusion kinases [
28,
52]. The chimeric HOOK3-FGFR1 fusion protein contains the coiled-coil domain from HOOK3, indicating its potential leukemogenesis role in EMS.
FGFR1 is part of the receptor tyrosine kinase that plays crucial roles in controlling cell growth, differentiation, and survival. Specifically, FGFR1 is involved in 8p11 EMS, which is characterized by aberrant rearrangement that often produces a dimerizing protein partner fused to the kinase domain of FGFR1 [
53]. It is known that FGFR1 fusion genes commonly activate downstream targets, including FLT3, MYC, and STAT5 [
28,
41]. The overexpression of FGFR1 has been reported to promote NF-kappaB signaling in cancer [
30,
31]. But, whether the FGFR1 fusions could induce the NF-kappaB signaling remains unclear. In this work, we observed the significantly up-regulated expression of TNF gene, further enrichment of NF-kappaB pathway in HOOK3-FGFR1 positive patient based on bioinformatics analysis (Fig.
4a-c). As we known, the tumor necrosis factor alpha (TNFα) receptor recruits the transforming growth factor β-activated kinase 1 (TAK1) [
54]. Activated TAK1 then leads to the phosphorylation and degradation of IKBα, further promotes the released NF-kappaB to translocate into the nucleus and initiate target gene transcription [
55]. Notably, we uncovered the elevated phosphorylation of p65, IKBα, and TAK1 in HOOK3-FGFR1 clones using the phosphorylation antibody array, demonstrating the triggering of NF-kappaB signaling (Fig.
4d).
The effectiveness of TKIs was recently investigated in cells transduced with common variants of FGFR1 fusion genes [
37,
56,
57] and primary leukemic cells from patients with EMS [
36,
38,
58]. To date, three different TKIs of the FGFR1 inhibitor TKI258 (dovitinib), FLT3 inhibitor PKC412 (midostaurin), and ABL1 inhibitor AP24534 (ponatinib) have demonstrated selective inhibition of the expansion of EMS cells compared to normal bone marrow cells. However, our HOOK3-FGFR1 positive patient failed to respond to ponatinib and never archived at remission (Fig.
2a). NF-kappaB was found to play a crucial role in maintenance of tumor-initiating cells (T-ICs) in leukemia [
59]. Previous research has found that activation of the NF-kappaB pathway correlates with low sensitivity to bortezomib and ixazomib in the treatment of multiple myeloma [
60]. NF-kappaB signaling was reported to promote the sorafenib resistance in hepatocellular carcinoma (HCC), and combined treatment with the NF-kappaB inhibitor showed increased sensitivity of HCC cells to sorafenib treatment [
61]. Therefore, NF-kappaB inhibitor has potential as a combination treatment drug for FGFR1 fusion patients in the future. These findings also give us a hint that the activation of NF-kappaB signaling induced by HOOK3-FGFR1 may contribute to the failure response to ponatinib for our FGFR1 fusion patient. But, the detail mechanism remains to be explored.
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