Aberrant expression of Ecotropic Viral Integration Site 1 (EVI1) is a hallmark of acute myeloid leukemia (AML) with inv(3) or t(3;3), which is a disease subtype with especially poor outcome. In studying transcriptomes from AML patients with chromosome 3q rearrangements, we identified a significant upregulation of the Nuclear Receptor Interacting Protein 1 (NRIP1) as well as its adjacent non-coding RNA LOC101927745. Utilizing transcriptomic and epigenomic data from over 900 primary samples from patients as well as genetic and transcriptional engineering approaches, we have identified several mechanisms that can lead to upregulation of NRIP1 in AML. We hypothesize that the LOC101927745 transcription start site harbors a context-dependent enhancer that is bound by EVI1, causing upregulation of NRIP1 in AML with chromosome 3 abnormalities. Furthermore, we showed that NRIP1 knockdown negatively affects the proliferation and survival of 3qrearranged AML cells and increases their sensitivity to all-trans retinoic acid, suggesting that NRIP1 is relevant for the pathogenesis of inv(3)/t(3;3) AML and could serve as a novel therapeutic target in myeloid malignancies with 3q abnormalities.
Ectopic activation of the Ecotropic Viral Integration Site 1 (EVI1) gene is associated with a dismal outcome in patients with acute myeloid leukemia (AML) or myelodysplastic syndrome (MDS), who have an average survival of only 10 months after diagnosis.1 EVI1 is located in the MDS1 And EVI1 Complex Locus (MECOM) on chromosomal band 3q26.2, encodes a DNA-binding protein with two zinc finger domains, and is expressed in hematopoietic stem and progenitor cells. In an inducible mouse model, Evi1 overexpression led to the suppression of erythropoiesis and lymphopoiesis, driving a pre-leukemic expansion of myeloid cells which ultimately led to leukemic transformation,2 suggesting that activation of EVI1 drives myeloid leukemias. Moreover, ectopic activation of the EVI1 gene through vector integration was associated with the development of AML in a gene therapy trial.3 Although upregulated EVI1 is the defining molecular characteristic of AML with inv(3) or t(3;3), high EVI1 expression has been reported in approximately 11% of all adult AML cases, in which it was suggested to be an independent adverse prognostic factor.1,4-7 Currently, there are no targeted therapies or additional prognostic indicators available for myeloid malignancies with abnormal 3q or high EVI1 expression and the mechanisms that cause or contribute to EVI1 upregulation remain largely unclear.
In 2012, Haferlach et al. reported seven AML cases with translocation t(3;21)(q26;q11). This led to the formation of an EVI1 fusion protein with the Nuclear Receptor Interacting Protein 1 (NRIP1), which the authors found to be associated with an especially poor prognosis.8 Additionally, a more recent report described a poor prognosis, therapy-induced childhood AML with a cryptic t(3;21)(q26;q11), leading to NRIP1-EVI1 fusion, which displayed high EVI1 expression.9 While studying transcriptomes from AML and MDS patients with or without 3q rearrangements, we discovered that both NRIP1 as well as its neighboring non-coding gene, LOC101927745, were upregulated in MECOM-rearranged AML without t(3;21) fusions, such as inv(3) and t(3;3).
NRIP1 and its neighboring gene LOC101927745, share a topologically associating domain (TAD). TAD are genomic regions that are delimited and insulated from external regulatory influences by CCCTC-binding factor (CTCF)- and cohesin-bound sites.10 Genes and regulatory elements with in a TAD were shown to physically interact with each other more frequently than with sequences located outside their TAD,10 prompting us to investigate whether a potential co-regulatory relationship exists between NRIP1 and LOC101927745 which could lead to upregulation of NRIP1 in MECOM-rearranged AML. Although NRIP1 has been implicated in differentiation processes via modulation of retinoic acid (RA) receptors11,12,13 and regulation of energy metabolism,14 its role in myeloid malignancies is largely unknown. Hypothesizing that NRIP1 could function as a yet undescribed proto-oncogene in AML cells, we utilized public transcriptomic and epigenomic data collected from more than 900 AML and MDS patients and conducted genetic and transcriptional engineering approaches to: (i) identify potential mechanisms that can lead to upregulation of NRIP1 and (ii) investigate how the perturbation of NRIP1 expression would affect inv(3)/t(3;3) AML cells.
Patients’ data and experimental datasets
Most datasets that were analyzed for this study are available either through the National Cancer Institute’s Genomic Data Commons portal (TCGA-LAML,15 Beat AML,16 https://portal.gdc.cancer.gov/), the International Human Epigenome Consortium data portal (BLUEPRINT primary AML samples,17 sample identities: ERS699839, ERS699842, ERS699843, ERS753996; https://epigenomesportal.ca/ihec/) or the National Center for Biotechnology Information’s Gene Expression Omnibus database (https://www.ncbi.nlm.nih.gov/gds) under the following identifiers:
GSE104099: cytogenetically normal AML, AMLSG_07-04, RNA-seq (n=46);20
GSE35159: expression profiling in 12 human myeloid cell lines, microarray;21
GSE123255: murine leukemic stem cell enriched cells (LSCe) +/- ATRA;22
GSE31477: ENCODE TF and co-factors in various cell lines, ChIP-seq;23
GSE32465: ENCODE TF and co-factors in various cell lines, ChIP-seq;24
GSE36030: murine B10 cell line, Rad21 ChIP-seq (ENCODE mouse project);
GSE136488: murine E14 cell line, Ctcf ChIP-seq (ENCODE mouse project);
GSE55407: THP-1 AML cell line, CTCF and Rad21 ChIP-seq;25
GSE87286: SKH-1 AML cell line, ChIP-seq and RNA-seq;26
GSE72816: Gm12878 cell line ChIA-PET cluster data;27
GSE63525: Gm12878 and K562 Hi-C chromatin contact data;28
PRJNA385337: THP-1 Hi-C chromatin contact data;29
GSE52457: H1-derived hMSC Hi-C chromatin contact data;30
GSE84662: keratinocytes Hi-C chromatin contact data.31
Cox proportional hazard and Kaplan-Meier analyses for association with overall or event-free survival were calculated using the R survival32 and survminer33 packages. Patients were dichotomized into groups expressing the gene of interest at a high or low level based on maximally selected rank statistics.34
Patients’ samples and cell lines
RNA sequencing was performed on primary samples of viably frozen bone marrow from patients (n=65) with a complex karyotype (CK-AML) (Online Supplementary Methods). Forty of the 65 (62%) patients were treated on consecutive multicenter treatment trials of the AML Study Group (AMLSG), applying age-adjusted intensive chemotherapy: AMLHD98A (n=4; NCT00146120) and AMLSG07-04 (n=22; NCT00151242) for younger patients (16 to 60 years); AMLSG06-04 (n=14; NCT00151255) for elderly patients (>60 years). All studies were approved by local ethics committees, and all patients gave informed consent to treatment, cryopreservation of samples, and molecular analyses according to the Declaration of Helsinki. All the cell lines used were obtained from the German Collection of Microorganisms and Cell Cultures (DSMZ), except for the Cas9-expressing OCI-AML5 cells which were a gift from Dr. Jan Krönke (Ulm University Hospital, Germany). All cells were maintained in adherence to the culturing conditions recommended by the DSMZ.
All-trans retinoic acid treatment and analysis
All-trans retinoic acid (ATRA; Sigma-Aldrich, Germany) was prepared in dimethylsulfoxide (DMSO) at 100 mM and further diluted in phosphate-buffered saline. Cell lines that were transfected with NRIP1-targeting GapmeR or control or with NRIP1-targeting shRNA or control after selection (see Online Supplementary Methods) were seeded at 0.25x106 cells per well in 2 mL culture medium at a final concentration of 0.5 mM ATRA or a concentration-matched DMSO control. Cells were analyzed after 24 and 72 h for cell proliferation by counting trypan-negative cells, for gene expression of NRIP1, MECOM, and LOC101927745, for NRIP1 protein expression (see Online Supplementary Methods), and for apoptosis after staining with an annexin-V-APC antibody (Biolegend, USA) and SYTOX-Blue dead stain (Invitrogen, USA) using flow cytometry.
The NRIP1-EVI1 fusion positions the EVI1 open reading frame under control of the NRIP1 gene regulatory elements
To understand which functional domains of the NRIP1 and EVI1 proteins were lost and retained in a fusion event as reported by Haferlach et al.8 and D'Angiò et al.,9 we studied the exact t(3;21)(q26;q11) breakpoints and found that the NRIP1-EVI1 fusion does not generate a novel chimeric protein, but instead removes most of the upstream regulatory elements of EVI1 and places the complete EVI1 coding sequence (exons 3 to 16) under the control of the three putative NRIP1 promoters and additional upstream regulatory elements (Figure 1A). Similar to what was observed in inv(3)(q21q26) or t(3;3)(q21;q26) AML cases, in which EVI1 was reported to appropriate multiple enhancer sites of the GATA2 gene,35,36 we found that a t(3;21)(q26;q11) event effectively places the complete EVI1 open reading frame under the control of a different transcriptional network.
Expression of NRIP1 and LOC101927745 is associated with poor survival in acute myeloid leukemia
Analysis of published RNA-sequencing datasets, comprising sorted healthy human donor bone marrow cell populations (n=56),18 blasts from MDS patients (n=74),18 and primary AML samples (n=950, including TCGA L-AML,15 AMLCG-2008/1999,19 an in-house generated cytogenetically normal AML20 and a CK-AML cohort37 as well as data from the Beat AML trial,16 showed that transcript levels of NRIP1, located on chromosome 21q, as well as its neighboring gene, LOC101927745, were highly expressed in CD34+ hematopoietic stem and progenitor cells from healthy donors and MDS patients (Online Supplementary Figure S1A) and were significantly upregulated in inv(3)/t(3;3) AML patients compared to all other cytogenetic AML subgroups (Padj.=0.01 and 0.003, respectively) (Figure 1B). We were able to confirm this exceptionally high expression of LOC101927745 and NRIP1 in EVI1high- compared to EVI1low-expressing AML cell lines (total of n=4 vs. n=17) (Online Supplementary Figure 1B-D).
Based on the report by Haferlach et al., which associated the presence of an NRIP1/EVI1 fusion gene with an especially poor prognosis,8 we next examined whether NRIP1 and LOC101927745 transcript levels were linked to outcome in AML patients. Indeed, survival analyses using the Beat AML RNA-sequencing dataset16 showed that high NRIP1 as well as high LOC101927745 expression were significantly associated with poorer overall survival (Figure 2A), independently of the inclusion of inv(3)/t(3;3), complex karyotype and also of del(5q)/del(7q) cases, which represent the most common co-abnormalities of inv(3)/t(3;3) (Online Supplementary Figure S2). The association of high NRIP1 or LOC101927745 expression with poorer outcome was further corroborated in the AMLCG-2008 cohort19 as well as in RNA-sequencing data from CK-AML patients37 (Figure 2B, C, Online Supplementary Methods). Of note, LOC101927745 and NRIP1 transcript levels exceeded the prognostic stratification capacity of EVI1 levels in all analyzed datasets both when applying a dichotomization approach based on maximally selected rank statistics34 (Figure 1A-C, Online Supplementary Figure S2) or the median (data not shown).
In line with other studies reporting EVI1 expression in the absence of detectable EVI1 fusion events or inv(3), only 11/126 (8.7%) and 5/28 (17.8%) of EVI1-expressing patients carried molecularly detectable 3q abnormalities in the analyzed Beat AML and CK-AML cohorts, respectively (2x dupl(3q26), t(3;21)(q26;q22), t(3;3)(q26;q21), and t(3;6)(q26;p22)), in which expression was defined as EVI1 >5 transcripts per kilobase million. Although expression of LOC101927745 and NRIP1 was particularly enriched in inv(3) AML (i.e., EVI1high), and both transcripts showed a high degree of correlation in EVI1high healthy and MDS CD34+ blast cells (R=0.78 and 0.89) (Figure 2D), we observed that in AML this correlation was perturbed (R=0.31 and 0.64) (Figure 2E). Compared to healthy and MDS samples, in which all NRIP1-expressing cells also expressed LOC101927745, NRIP1 and LOC101927745 RNA transcripts only showed correlation in 46% of AML cases. However, AML patients who expressed LOC101927745 always expressed NRIP1 (Figure 2E). Considering this highly specific pattern of expression, we next investigated a potential co-regulatory relationship between LOC101927745 and NRIP1 in AML.
The LOC101927745 transcription start site contains an NRIP1 gene regulatory element
NRIP1 and its neighboring gene LOC101927745 share a TAD (Online Supplementary Figure S3A, B), suggesting a co-regulatory relationship between these genes. In support of this hypothesis, we found that the exonic regions of LOC101927745, its genomic location and its orientation relative to the murine Nrip1 homolog as well as their Ctcf:Rad21 TAD boundaries are conserved between human and mouse genomes (Online Supplementary Figure S3B-D). Of note, the region overlapping the putative transcription start site (TSS) of LOC101927745 is annotated as GH21J015439 in most recent genome browser versions, due to its classification as a candidate enhancer of NRIP1 by the GeneHancer project38 (Online Supplementary Figure S4A, based on eQTL and Hi-C data). A defining feature of enhancers is that they establish measurable physical contact with the promoters of their regulated genes. As there are currently no chromatin conformation capture data available from cells with chromosome 3 abnormalities, we instead compared Hi-C data from NRIP1low leukemia cell lines (THP-1, K562 and Gm12878) to data generated from human skin samples, which show strong NRIP1 as well as EVI1 expression when compared to mature blood cells (Figure 3A). When we subtracted normalized chromatin contact counts obtained in NRIP1low AML cell lines from counts recorded in NRIP1high/EVI1high human skin cells, we found that contact was 70- to 330-fold increased specifically between the LOC101927745 TSS (GH21J015439) and the NRIP1 genomic locus in NRIP1high-expressing cells (Figure 3B, blue areas depict regions where contact intensities in NRIP1/EVI1high tissues exceed contact in NRIP1low AML cells). Collectively, these observations suggest that LOC101927745 likely harbors an NRIP1-controlling regulatory element.
To further explore the transcription factor (TF) binding and chromatin state at the LOC101927745/NRIP1 locus in AML cells with intact chromosome 3 and with low NRIP1 expression, we analyzed public chromatin immunoprecipitation (ChIP)-sequencing data assessing TF occupancy and ChIP-sequencing data from AML patients’ blasts and cell lines (data from BLUEPRINT17 and ENCODE23,24). NRIP1low AML cell lines and primary cells displayed a universal lack of TF binding and were devoid of activating histone modifications in the LOC101927745/NRIP1 TAD (data not shown). Instead, these cells displayed an accumulation of repressive histone marks such as H3K27me3 (associated with promotor repression) and H3K9me3 (associated with permanent heterochromatin formation) (Online Supplementary Figure S4B). In summary, these findings support our hypothesis that the LOC101927745 genomic site is of relevance for the transcriptional regulation of NRIP1.
NRIP1 transcription is independently regulated by retinoic acid signaling and the GH21J015439 enhancer in acute myeloid leukemia cells
The promoter sequences of NRIP1 were reported to be rich in RA receptor binding sites.39 Another hint towards the relevance of RA signaling for NRIP1 transcription is that t(15;17) AML patients’ samples and the t(15;17) RA receptor dysfunctional NB-4 cell line do not transcribe NRIP1 at all (Figure 1B, Online Supplementary Figure S1A). Therefore, we aimed to assess whether an external stimulation of RA receptor signaling would induce NRIP1 expression in an NRIP1low-expressing AML model. Concurrently, we also aimed to determine whether the deletion of the putative regulatory element GH21J015439, which is embedded within the LOC101927745 TSS, would have an impact on any hypothetical RA-mediated effects on NRIP1 transcription. We, therefore, deleted a 470 bp genomic region spanning GH21J015439, LOC101927745 exon 1, and part of exon 2 (Online Supplementary Figure S4A, C) using a CRISPR/Cas9-guided approach in the human OCI-AML5 AML cell line (LOCKO), which inherently displays low NRIP1 and lack of LOC101927745 expression (Online Supplementary Figure S1A). Genomic deletion led to a modest but significant reduction of NRIP1 mRNA levels in LOC-KO compared to wild-type OCIAML5 control cells (LOC-WT) (P=0.05) (Figure 4A), confirming that the deleted site likely harbors an NRIP1-enhancing regulatory element. Treatment of both LOC-KO and LOC-WT cell lines with the RA receptor agonist ATRA led to a pronounced upregulation of NRIP1 expression in both cell lines (Figure 4A). As ATRA is known to induce differentiation in AML cells, including OCI-AML5 (Online Supplementary Figure S5), we next tested whether expression of NRIP1 was truly the result of RA receptor signaling or merely a side effect of differentiation. Thus, we independently treated both cell lines with the protein kinase C-activator 12-O-tetra-decanoylphorbol-13-acetate (TPA), which induces differentiation of OCI-AML5 cells in an RA-independent manner.40 TPA treatment did not affect NRIP1 transcription, suggesting that NRIP1 was indeed induced by RA receptor signaling and is differentiation independent. Of note, genomic deletion of GH21J015439 also led to a significant reduction of NRIP1 mRNA levels in LOC-KO compared to LOC-WT cells treated with TPA (P=0.03) (Figure 4A) again highlighting the positive regulatory effect of this element on NRIP1 transcription. In addition, LOC-KO cells displayed increased expression of the mature myeloid surface marker CD11c and a reduced proliferation rate compared to LOC-WT cells (Online Supplementary Figure S5B, C).
We were able to confirm the pronounced upregulation of NRIP1 in response to ATRA treatment in an RNA-sequencing dataset generated by Nguyen et al. in MLL-AF9-expressing murine leukemic stem cell-enriched fractions that were treated with 1 mM ATRA or control for 24 h.22 In these cells, ATRA treatment resulted in an 8.8-fold increase of Nrip1 expression (P=0.006) (Figure 4B) and, interestingly, ATRA-induced expression of Nrip1 was antagonized by simultaneous shRNA-mediated Evi1-knock-down (7.6-fold increase relative to vehicle-treated sh-control), which reduced Nrip1 levels even more strongly in vehicle controls alone (6.6-fold decrease, P=0.07) (Figure 4B). This observation hints at a relevance of NRIP1 expression for EVI1high AML and suggests that NRIP1 could be under the direct transcriptional control of the EVI1 TF complex.
NRIP1 expression is regulated by the oncogenic EVI1 transcription factor network
To explore whether EVI1 contributes directly to the transcriptional control of NRIP1, we first ensured that there are EVI1 binding sites present within the NRIP1/LOC101927745 TAD and identified 16 sites with a significant z-score that are conserved between human, mouse and rat (Online Supplementary Figure S6). No EVI1 binding motifs were present within the NRIP1 promoter but a total of six conserved EVI1 binding sites were present within the LOC101927745 gene, including the putative NRIP1 enhancer GH21J015439, which overlaps the LOC101927745 TSS. To confirm that any of these motifs are actually bound by EVI1 in AML cells, we analyzed ChIP-sequencing data produced by Loke et al. from EVI1-knockdown vs. control SKH-1 AML cells, which harbor a t(3;21)(q26;q22) translocation. The exact SKH-1 breakpoint in chromosome 21q is located more than 19 Mb upstream of the NRIP1 genomic locus which is therefore retained in this cell line.41 Translocation t(3;21) causes expression of a fused RUNX1-EVI1 TF, which was found to form an abnormal transcription-activating complex together with GATA-2 and ETS factors.26 When analyzing EVI1, RUNX1, and GATA-2 ChIP-sequencing data produced in SKH-1 cells, we found that they displayed strong binding at two EVI1 motifs within the LOC101927745 gene, with the strongest binding of all three TF at the GH21J015439 putative NRIP1 regulatory site as well as high NRIP1 transcript levels in the corresponding RNA-sequencing data (Figure 4C, D). Upon shRNA-mediated EVI1:RUNX1 knockdown, both TF binding and NRIP1 expression were significantly reduced in SKH-1 cells compared to controls (Figure 4C, D), supporting our hypothesis that the NRIP1 gene is under the direct control of the abnormal EVI1 TF complex that drives this AML phenotype.
Assuming that LOC101927745 upregulation is indeed controlled by an oncogenic EVI1 TF complex, LOC101927745 and EVI1 transcript levels would be expected to correlate in patients’ samples. Indeed, similar to our observations regarding a correlation between LOC101927745 and NRIP1 RNA, transcript levels of LOC101927745 and EVI1 showed a high degree of correlation in normal and MDS hematopoietic stem and progenitor cells (R=0.87) (Figure 5A). According to AML data, 2.9% to 10.5% of all patients expressed both transcripts (LOC+/EVI1+), 66.9% to 78% expressed neither (LOC-/EVI1-), 3.4% to 8.7% expressed only EVI1 in the absence of LOC101927745 (LOC-/EVI1+) and 13.9% to 15.7% of patients only expressed LOC101927745 (LOC+/EVI1-), suggesting that LOC101927745 and therefore NRIP1 transcription is not exclusively regulated through EVI1 in AML patients (Figure 5A). When comparing survival among these four groups, patients who expressed LOC101927745 RNA had significantly worse outcome or response to treatment, independently of EVI1 expression (P=0.04 and 0.0018 in the AMLCG-2008 and Beat AML cohort, respectively) (Figure 5B). Of note, expression of the LOC101927745 transcript was able to further sub-stratify adverse-risk EVI1high AML patients, highlighting cases with especially poor outcome.
NRIP1 knockdown affects proliferation, viability, and response to all-trans retinoic acid in chromosome 3 rearranged acute myeloid leukemia cells
As NRIP1 is strongly upregulated in AML cases with chromosome 3q rearrangements, we further assessed the dependence of EVI1-expressing AML blasts on NRIP1 expression. Therefore, we performed both transient antisense- and stably integrated shRNA-mediated knockdown of NRIP1 in EVI1high and EVI1negative AML cell lines with NRIP1 expression. Stable NRIP1 knockdown significantly affected growth and viability in t(3;3) UCSD-AML1 and HNT-34 (Figure 6A, B) but to a lesser extent or not at all in chromosome 3 intact OCIAML3, Kasumi-1, and K562 cells (Online Supplementary Figure S7A, B). Knockdown of NRIP1 was confirmed at RNA and protein levels in all cell lines (Figure 6C, D, Online Supplementary Figures S7C, S8 and S9). NRIP1 knockdown rendered t(3;3) cells significantly more sensitive to ATRA treatment, as exemplified by decreased proliferation (HNT-34 88% and UCSD-AML1 39% reduction) (Figure 6A) and higher levels of apoptosis after 72 h of treatment compared to controls (HNT-34 46% and UCSD-AML1 37% increase in apoptotic cells) (Figure 6B). In line with our earlier findings in OCI-AML5 cells, ATRA treatment induced expression of NRIP1 and, of note, also resulted in increased EVI1 transcription in t(3;3) cells as well as in the EVI1-negative cell line OCI-AML3 (Online Supplementary Figures S10 and S11). Furthermore, NRIP1-knockdown resulted in significantly elevated transcription of LOC101927745 RNA exclusively in t(3;3) cells (Figure 6C, Online Supplementary Figure S10). In all EVI1-expressing cell lines, including chromosome 3 normal K562 cells, NRIP1-knock-down resulted in reduced EVI1 transcription (Figure 6C, Online Supplementary Figure S7). Proliferation and apoptosis data recorded in t(3;3) UCSD-AML1 and HNT-34 cells as well as in chromosome 3 normal OCI-AML3 and NRIP1negative NB-4 cells after transient transfection with NRIP1-targeting GapmeRs, confirmed our observation that cell lines with chromosome 3q rearrangements were more vulnerable to NRIP1-knockdown, especially in combination with ATRA treatment (Online Supplementary Figure S11A-C). In contrast, GapmeR-mediated knockdown of LOC101927745 RNA in UCSD-AML1 did not affect RIP1 transcription or proliferation and proliferation and cell viability, supporting a regulatory model in which the LOC101927745 genomic site - i.e., its function as an enhancer - but not its RNA transcript, is relevant for the control of NRIP1 expression (Online Supplementary Figure S11D).
In a large collection of transcriptomic and epigenomic datasets, we found that expression of LOC101927745 and NRIP1 on chromosome 21 is markedly upregulated in AML patients with chromosome 3q abnormalities. Although the majority of AML patients do not express LOC101927745 at comparably high levels, overall between 18.6% and 24.4% of AML cases had detectable LOC101927745 transcription in the Beat AML and AMLCG-2008 cohorts, and this was associated with especially poor outcome in AML and was independent of EVI1 transcription status.
In all the datasets we studied, we found that whenever LOC101927745 is transcribed, so too is NRIP1 and that their expression correlates significantly. Based on our findings, we propose the following functional interaction model between NRIP1 and LOC101927745 in AML: blast cells that do not express either LOC101927745 or NRIP1 display a repressive heterochromatin state in the LOC101927745/NRIP1 TAD (Figure 7A). In EVI1high MDS and AML cells, NRIP1 transcription is regulated predominantly through usage of the GH21J015439 enhancer site, which is embedded within the LO C 1 0 1 927 74 5 TSS. Binding of the enhancer is at least in part mediated by the EVI1 oncogenic TF complex, which does not bind the NRIP1 promoter directly but instead forms a looped chromatin contact as is common for enhancer:promoter interactions42 (Figure 7B). This process recruits the transcriptional machinery to the site of contact which results in simultaneous transcription of both the LOC101927745 and NRIP1 genes. Hence, the expression of the LOC101927745 transcript, regardless of its functionality, is indicative of the accessibility and activation of the NRIP1 enhancer GH21J015439. LOC101927745 and EVI1 transcript levels correlate significantly in EVI1high healthy and MDS CD34+ cells. Thus, NRIP1 transcriptional control through usage of the GH21J015439 enhancer might reflect how NRIP1 expression is physiologically regulated in immature hematopoietic cells and in other EVI1-expressing tissues such as fibroblasts. In more mature cells and in about 50% of NRIP1-expressing AML patients, NRIP1 transcription is activated via additional mechanisms that are not mediated through GH21J015439 and therefore do not cause LOC101927745 transcription (Figure 7C). Comparing survival of AML patients stratified according to their expression patterns of NRIP1, EVI1 and LOC101927745, we found that transcription of LOC101927745 was the most reliable prognostic factor among all groupings and that it was highly associated with a dismal overall outcome in the presence or absence of EVI1 transcription.
Due to the high degree of functional redundancy in the regulatory landscape of physiologically relevant genes, deletion of a single enhancer site is not necessarily expected to have an impact on gene expression as this greatly depends on the presence of transcriptional regulators such as TF and histone modifiers. Nevertheless, we observed a modest but significant reduction of NRIP1 transcript levels after excising GH21J015439 in an NRIP1low-expressing AML cell line, which enhanced its response to differentiation-inducing drugs. However, removal of this enhancer site did not hinder the transcriptional upregulation of NRIP1 through ATRA-stimulated RA signaling (Figure 7D), which we have identified to serve as an independent mechanism that induces NRIP1 expression in human AML cells.
Utilizing two different knockdown strategies in combination with ATRA-mediated induction of NRIP1 transcription, we observed that a forced downregulation of NRIP1 is harmful to t(3;3) EVI1high AML cells. Furthermore, NRIP1-knockdown rendered chromosome 3 rearranged cell lines vulnerable to ATRA treatment, resulting in decreased growth and induction of apoptosis. After 72 h of ATRA treatment, we detected an upregulation of EVI1 in t(3;3) and, surprisingly, in the chromosome 3 normal cell line OCI-AML3. Increased EVI1 expression also resulted in an upregulation of LOC101927745 RNA in t(3;3) cells which, according to our proposed model of NRIP1 regulation in EVI1high AML, likely reflected increased enhancer usage in an attempt to upregulate NRIP1. In line with the findings of a study by Nguyen et al.,22 reporting that ATRA enhances the oncogenic effects of EVI1, these observations highlight the relevance of NRIP1 for EVI1-expressing AML cells and suggest that NRIP1 might contribute to resistance of EVI1high AML to RA agonists such as ATRA.
In our study of the exact t(3;21)(q26;q11) breakpoints, as reported by Haferlach et al.8 and D'Angiò et al.,9 we discover ed that instead of forming a novel fusion protein, this translocation results in a repositioning of the complete EVI1 open reading frame under the control of the NRIP1 gene promoters and upstream regulatory elements containing multiple RA responsive elements. In chromosome 21 intact cells, these elements mediate a strong induction of NRIP1 transcription upon stimulation with ATRA. Treating t(3;21)(q26;q11) cases with ATRA, as suggested in a recent clinical study,43 would therefore coordinate a similarly pronounced upregulation of the EVI1 oncogene in these special cases, presumably with devastating consequences. Another finding of our analyses of NRIP1 regulation is that the absence of RA receptor signaling - as in t(15;17) AML - abrogates NRIP1 expression. Transferring this knowledge to the aberrant NRIP1-abstracted upstream control of EVI1 that is unique to t(3;21)(q26;q11) AML would therefore theoretically open a therapeutic window for RA receptor antagonists, which might help to reduce or even abrogate expression of the EVI1 oncogene in these cases. Our data and those from Nguyen et al. as well as a recent clinical study do not convincingly show a benefit for adding ATRA to the treatment of EVI1-expressing AML patients.43 As knockdown of NRIP1 negatively affected the proliferation and survival of EVI1-expressing AML cells, our findings warrant further investigation of NRIP1 as a therapeutic target in myeloid diseases with EVI1 activation.
- Received November 16, 2020
- Accepted November 25, 2021
No conflicts of interest to disclose.
SG performed experiments, conducted data analyses and wrote the manuscript. AC and LM established and performed the knockdown experiments and NRIP1 RNA and protein quantification. JI performed flow cytometry and western blots, and quantified relative band intensities. CR, BD, and NS helped to perform the CRISPR experiments and quantitative reverse transcriptase polymerase chain reaction measurements. FR, KD and LB provided clinical samples, clinical data, and input to the manuscript. JRP contributed the funding and access to facilities for RNA sequencing to generate the CK-AML dataset and revised the manuscript. TH gave advice on the study design and data analyses and revised the manuscript. AR and FK supervised the study and revised the manuscript.
All datasets that were analyzed for the current study are available in the NCBI’s GEO repository under the indicated identifiers, which are listed in the Methods section and cited throughout the main text and figure legends. RNA-sequencing data from the CK-AML cohort will be made available upon request. Please contact the corresponding author.
SG is supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation – project 446251518), the Michael Smith Foundation for Health Research (MSFHR) and the Lotte & John Hecht Memorial Foundation (project RT-2020-0578). AR was supported by the DFG (SFB 1074, project A5, and the gender equality program SFB 1074, project Z2). FK was supported by the DFG (SFB 1074, project A5), the BC Cancer Foundation and the Leukemia & Lymphoma Society of Canada.
The authors would like to thank Dr. Dirk Heckl for providing the pL40C-CRISPR.EFS.PAC and pL-CRISPR.EFS.tRFP vectors and Dr. Jan Krönke for providing the Cas9-expressing OCIAML-5 cell line.
- Gröschel S, Lugthart S, Schlenk RF. High EVI1 expression predicts outcome in younger adult patients with acute myeloid leukemia and is associated with distinct cytogenetic abnormalities. J Clin Oncol. 2010; 28(12):2101-2107. https://doi.org/10.1200/JCO.2009.26.0646PubMedGoogle Scholar
- Ayoub E, Wilson MP, McGrath KE. EVI1 overexpression reprograms hematopoiesis via upregulation of Spi1 transcription. Nat Commun. 2018; 9(1):4239. https://doi.org/10.1038/s41467-018-06208-yPubMedPubMed CentralGoogle Scholar
- Stein S, Ott M, Schultze-Strasser S. Genomic instability and myelodysplasia with monosomy 7 consequent to EVI1 activation after gene therapy for chronic granulomatous disease. Nat Med. 2010; 16(2):198-204. https://doi.org/10.1038/nm.2088PubMedGoogle Scholar
- van Doorn SBW, Erpelinck CAJ, van Putten WLJ. High EVI1 expression predicts poor survival in acute myeloid leukemia: a study of 319 de novo AML patients. Blood. 2003; 101(3):837-845. https://doi.org/10.1182/blood-2002-05-1459PubMedGoogle Scholar
- Lugthart S, van Drunen E, van Norden Y, et al, High EVI1 levels predict adverse outcome in acute myeloid leukemia. prevalence of EVI1 overexpression and chromosome 3q26 abnormalities underestimated. Blood. 2008; 111(8):4329-4337. https://doi.org/10.1182/blood-2007-10-119230PubMedGoogle Scholar
- Rockova V, Abbas S, Wouters BJ. Risk stratification of intermediate-risk acute myeloid leukemia: integrative analysis of a multitude of gene mutation and gene expression markers. Blood. 2011; 118(4):1069-1076. https://doi.org/10.1182/blood-2011-02-334748PubMedGoogle Scholar
- Haas K, Kundi M, Sperr WR. Expression and prognostic significance of different mRNA 5′-end variants of the oncogene EVI1 in 266 patients with de novo AML: EVI1 and MDS1/EVI1 overexpression both predict short remission duration. Genes Chromosomes Cancer. 2008; 47(4):288-298. https://doi.org/10.1002/gcc.20532PubMedGoogle Scholar
- Haferlach C, Bacher U, Grossmann Three novel cytogenetically cryptic EVI1 rearrangements associated with increased EVI1 expression and poor prognosis identified in 27 acute myeloid leukemia cases. Genes Chromosomes Cancer. 2012; 51(12):1079-1085. https://doi.org/10.1002/gcc.21992PubMedGoogle Scholar
- D'Angiò M, Fazio G, Grioni A. High EVI1 expression due to NRIP1/EVI1 fusion in therapy-related acute myeloid leukemia: description of the first pediatric case. Hemasphere. 2020; 4(5):e471. https://doi.org/10.1097/HS9.0000000000000471PubMedPubMed CentralGoogle Scholar
- Pombo A, Dillon N.. Three-dimensional genome architecture: players and mechanisms. Nat Rev Mol Cell Biol. 2015; 16(4):245-257. https://doi.org/10.1038/nrm3965PubMedGoogle Scholar
- L'Horset F, Dauvois S, Heery DM. RIP-140 interacts with multiple nuclear receptors by means of two distinct sites. Mol Cell Biol. 1996; 16(11):6029-6036. https://doi.org/10.1128/MCB.16.11.6029PubMedPubMed CentralGoogle Scholar
- Vivante A, Mann N, Yonath H. A dominant mutation in nuclear receptor interacting protein 1 causes urinary tract malformations via dysregulation of retinoic acid signaling. J Am Soc Nephrol. 2017; 28(8):2364-2376. https://doi.org/10.1681/ASN.2016060694PubMedPubMed CentralGoogle Scholar
- Cabezas-Wallscheid N, Buettner F, Sommerkamp P. Vitamin A-retinoic acid signaling regulates hematopoietic stem cell dormancy. Cell. 2017; 169(5):807-823. https://doi.org/10.1016/j.cell.2017.04.018PubMedGoogle Scholar
- Augereau P, Badia E, Carascossa S. The nuclear receptor transcriptional coregulator RIP140. Nucl Recept Signal. 2006; 4:e024. https://doi.org/10.1621/nrs.04024PubMedPubMed CentralGoogle Scholar
- The Cancer Genome Atlas Research Network. Genomic and epigenomic landscapes of adult de novo acute myeloid leukemia. N Engl J Med. 2013; 368(22):2059-2074. https://doi.org/10.1056/NEJMoa1301689PubMedPubMed CentralGoogle Scholar
- Tyner JW, Tognon CE, Bottomly D. Functional genomic landscape of acute myeloid leukaemia. Nature. 2018; 562(7728):526-531. https://doi.org/10.1038/s41586-018-0623-zPubMedPubMed CentralGoogle Scholar
- Martens JHA, Stunnenberg HG. BLUEPRINT: mapping human blood cell epigenomes. Haematologica. 2013; 98(10):1487-1489. https://doi.org/10.3324/haematol.2013.094243PubMedPubMed CentralGoogle Scholar
- Pellagatti A, Armstrong RN, Steeples V. Impact of spliceosome mutations on RNA splicing in myelodysplasia: dysregulated genes/pathways and clinical associations. Blood. 2018; 132(12):1225-1240. https://doi.org/10.1182/blood-2018-04-843771PubMedPubMed CentralGoogle Scholar
- Herold T, Jurinovic V, Batcha AMN. A 29-gene and cytogenetic score for the prediction of resistance to induction treatment in acute myeloid leukemia. Haematologica. 2018; 103(3):456-465. https://doi.org/10.3324/haematol.2017.178442PubMedPubMed CentralGoogle Scholar
- Hirsch S, Blätte TJ, Grasedieck S. Circular RNAs of the nucleophosmin (NPM1) gene in acute myeloid leukemia. Haematologica. 2017; 102(12):2039-2047. https://doi.org/10.3324/haematol.2017.172866PubMedPubMed CentralGoogle Scholar
- Saito Y, Nakahata S, Yamakawa CD52 as a molecular target for immunotherapy to treat acute myeloid leukemia with high EVI1 expression. Leukemia. 2011; 25(6):921-931. https://doi.org/10.1038/leu.2011.36PubMedGoogle Scholar
- Nguyen CH, Bauer K, Hackl H. All-trans retinoic acid enhances, and a pan-RAR antagonist counteracts, the stem cell promoting activity of EVI1 in acute myeloid leukemia. Cell Death Dis. 2019; 10(12):944. https://doi.org/10.1038/s41419-019-2172-2PubMedPubMed CentralGoogle Scholar
- ENCODE Project Consortium. An integrated encyclopedia of DNA elements in the human genome. Nature. 2012; 489(7414):57-74. https://doi.org/10.1038/nature11247PubMedPubMed CentralGoogle Scholar
- Gertz J, Savic D, Varley KE. Distinct properties of cell-type-specific and shared transcription factor binding sites. Mol Cell. 2013; 52(1):25-36. https://doi.org/10.1016/j.molcel.2013.08.037PubMedPubMed CentralGoogle Scholar
- Rousseau M, Ferraiuolo MA, Crutchley JL. Classifying leukemia types with chromatin conformation data. Genome Biol. 2014; 15(4):R60. https://doi.org/10.1186/gb-2014-15-4-r60PubMedPubMed CentralGoogle Scholar
- Loke J, Assi SA, Imperato MR. RUNX1-ETO and RUNX1-EVI1 differentially reprogram the chromatin landscape in t(8;21) and t(3;21) AML. Cell Rep. 2017; 19(8):1654-1668. https://doi.org/10.1016/j.celrep.2017.05.005PubMedPubMed CentralGoogle Scholar
- Tang Z, Luo OJ, Li X. CTCF-mediated human 3D genome architecture reveals chromatin topology for transcription. Cell. 2015; 163(7):1611-1627. https://doi.org/10.1016/j.cell.2015.11.024PubMedPubMed CentralGoogle Scholar
- Rao S, Huntley MH, Durand NC. A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping. Cell. 2014; 159(7):1665-1680. https://doi.org/10.1016/j.cell.2014.11.021PubMedPubMed CentralGoogle Scholar
- Phanstiel DH, Van Bortle K, Spacek D. Static and dynamic DNA loops form AP-1-bound activation hubs during macrophage development. Mol Cell. 2017; 67(6):1037-1048. https://doi.org/10.1016/j.molcel.2017.08.006PubMedPubMed CentralGoogle Scholar
- Dixon JR, Jung I, Selvaraj S. Chromatin architecture reorganization during stem cell differentiation. Nature. 2015; 518(7539):331-336. https://doi.org/10.1038/nature14222PubMedPubMed CentralGoogle Scholar
- Rubin A, Barajas B, Furlan-Magaril M. Lineage-specific dynamic and pre-established enhancer-promoter contacts cooperate in terminal differentiation. Nat Genet. 2017; 49(10):1522-1528. https://doi.org/10.1038/ng.3935PubMedPubMed CentralGoogle Scholar
- Kassambara A, Kosinski M.. survminer: drawing survival curves using 'ggplot2'. R package version 0.4.2. 2018. Publisher Full TextGoogle Scholar
- Therneau T. A package for survival analysis in S. version 2.38,. 2015. Publisher Full TextGoogle Scholar
- Hothorn T, Lausen B.. On the exact distribution of maximally selected rank statistics. Comput Stat Data Anal. 2002; 43(2):121-137. https://doi.org/10.1016/S0167-9473(02)00225-6Google Scholar
- Gröschel S, Sanders MA, Hoogenboezem R. A single oncogenic enhancer rearrangement causes concomitant EVI1 and GATA2 deregulation in leukemia. Cell. 2014; 157(2):369-381. https://doi.org/10.1016/j.cell.2014.02.019PubMedGoogle Scholar
- Yamazaki H, Suzuki M, Otsuki A. A remote GATA2 hematopoietic enhancer drives leukemogenesis in inv(3)(q21;q26) by activating EVI1 expression. Cancer Cell. 2014; 25(4):415-427. https://doi.org/10.1016/j.ccr.2014.02.008PubMedPubMed CentralGoogle Scholar
- Rücker FG, Gong X, Dolnik A. Identification of novel gene fusions in acute myeloid leukemia with complex karyotype by transcriptome analysis using RNA sequencing. Haematologica. 2017; 102(s2):39-40. Google Scholar
- Fishilevich S, Nudel R, Rappaport N. GeneHancer: genome-wide integration of enhancers and target genes in GeneCards. Database (Oxford). 2017; 2017:bax028. https://doi.org/10.1093/database/bax028PubMedPubMed CentralGoogle Scholar
- Kerley JS, Olsen SL, Freemantle SJ. Transcriptional activation of the nuclear receptor corepressor RIP140 by retinoic acid: a potential negative-feedback regulatory mechanism. Biochem Biophys Res Commun. 2001; 285(4):969-975. https://doi.org/10.1006/bbrc.2001.5274PubMedGoogle Scholar
- Tohda S, Kurokawa H, Nara N.. Relation of protein kinase A and protein kinase C to signaling pathways of hematopoietic factors in leukemia cell lines. Int J Oncol. 1996; 8(3):521-524. https://doi.org/10.3892/ijo.8.3.521PubMedGoogle Scholar
- Huret JL. t(3;21)(q26;q22). Atlas Cytogenet Oncol Haematol. 2014; 18(1):53-56. Publisher Full Texthttps://doi.org/10.4267/2042/52078Google Scholar
- Schoenfelder S, Fraser P.. Long-range enhancer–promoter contacts in gene expression control. Nat Rev Genet. 2019; 20(8):437-455. https://doi.org/10.1038/s41576-019-0128-0PubMedGoogle Scholar
- Paubelle E, Plesa A, Hayette S. Efficacy of all-trans-retinoic acid in high-risk acute myeloid leukemia with overexpression of EVI1. Oncol Ther. 2019; 7(2):121-130. https://doi.org/10.1007/s40487-019-0095-9PubMedPubMed CentralGoogle Scholar
Figures & Tables
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.