Pluripotent cells have been used to probe developmental pathways that are involved in genetic diseases and oncogenic events. To find new therapies that would target MYB-driven tumors, we developed a pluripotent zebrafish blastomere culture system. We performed a chemical genetic screen and identified retinoic acid agonists as suppressors of c-myb expression. Retinoic acid treatment also decreased c-myb gene expression in human leukemia cells. Translocations that drive overexpression of the oncogenic transcription factor MYB are molecular hallmarks of adenoid cystic carcinoma (ACC), a malignant salivary gland tumor with no effective therapy. Retinoic acid agonists inhibited tumor growth in vivo in ACC patient–derived xenograft models and decreased MYB binding at translocated enhancers, thereby potentially diminishing the MYB positive feedback loop driving ACC. Our findings establish the zebrafish pluripotent cell culture system as a method to identify modulators of tumor formation, particularly establishing retinoic acid as a potential new effective therapy for ACC.
Pluripotent cells can be directed to differentiate in vitro for disease modeling, tumorigenesis studies, and drug screening (Cohen and Melton, 2011). However, directed differentiation protocols can be lengthy and laborious, and are thus not amenable to high-throughput screening. Image-based chemical screening using cultured zebrafish blastomere pluripotent cells establishes a system that can be used in a high-throughput fashion and takes advantage of chemical genetics approaches with zebrafish. Here, we used this zebrafish embryo cell culture system to screen for modulators of c-myb:GFP–expressing cell populations maintained within heterogeneous cultures. Identifying chemical suppressors could provide new therapies for tumors driven by MYB, thereby demonstrating the benefits of this pluripotent zebrafish embryo cell culture to understand and exploit oncogenic regulatory networks and for assays of tumor formation in various experimental settings.
Adenoid cystic carcinoma (ACC) is a malignant neoplasm arising from secretory glands, commonly the salivary glands in the head and neck, and is characterized by slow and unpredictable growth that is often fatal (Coca-Pelaz et al., 2015). ACC has a propensity to spread along nerve fibers and metastasize to other locations in the body. Recurrent MYB translocations have been identified in the majority of ACCs, which are characterized by overexpression of MYB and MYB targets (Persson et al., 2009; Ho et al., 2013; Mitani et al., 2016). MYB is a master transcription factor with roles in proliferation and differentiation (Oh and Reddy, 1999), and many of the ACC translocations involve another transcription factor, NFIB (Ho et al., 2013). Alterations in MYB have been implicated in a variety of cancers, including leukemia, pediatric gliomas, and cancers of the colon, breast, and prostate (Ramsay and Gonda, 2008). ACC-specific MYB translocations have been recently shown to promote transformation in genetically engineered mouse models (Mikse et al., 2016).
Despite aggressive multimodality management, approximately half of ACC patients develop distant metastases, and up to one third die within two years of diagnosis (Conley and Dingman, 1974; Spiro, 1997; Bradley, 2004; Bobbio et al., 2008). No standard systemic chemotherapy regimen or approved drug therapy exists for recurrent or metastatic ACC, and no drug therapy has demonstrated either survival or a progression-free survival benefit. Whole exome sequencing of ACC tumors has revealed mutations in NOTCH and fibroblast growth factor signaling and chromatin remodeling genes, which could serve as potential therapeutic targets (Hickman et al., 1984; Stephens et al., 2013; Ross et al., 2014). However, >30 phase II clinical trials since 1985 involving cytotoxic therapy or targeted therapies against c-Kit, epidermal growth factor receptor, fibroblast growth factor receptor, and mammalian target of rapamycin, among others, have not been successful (Yarbrough et al., 2016). Activation of NOTCH1 mutations occurs in ∼15% of ACCs (Ferrarotto et al., 2017), limiting the therapeutic use of Notch inhibitors. Hence, targeting MYB represents a desperately needed therapeutic strategy that has the potential to elicit broad clinical activity across many ACC tumors.
There was evidence that retinoic acid receptor (RAR) signaling inactivated the function of MYB proteins, and regulatory mechanisms were proposed, including through a physical inhibitory interaction (Boise et al., 1992; Smarda et al., 1995; Pfitzner et al., 1998; Zemanová and Smarda, 1998; Lutz et al., 2001). However, mechanistic studies of RAR regulation of MYB-driven cancers, such as ACC, in which enhancer regions are juxtaposed to the MYB locus, have been lacking. We report the first application of MYB-directed therapy for patients with ACC. In addition, we performed our mechanistic studies, including our chromatin immunoprecipitation sequencing (ChIP-seq) analysis, directly on patient-derived human ACC tumors to establish our model of tumor inhibition.
Here, through a transgenic zebrafish embryo cell culture screening approach, we identified retinoic acid agonists as potent suppressors of c-myb:GFP fluorescence. We showed that all-trans retinoic acid (ATRA) decreases c-myb+ hematopoietic stem and progenitor cells (HSPCs) in live transgenic zebrafish embryos and by in situ hybridization, but has no effect on differentiated myeloid cell populations. We treated human U937 cells with various retinoic acid agonists and observed a rapid decrease in c-myb levels, which showed that retinoic acid suppressed c-myb expression through transcriptional regulation. We were interested in applying retinoic acid agonists to ACC models. ATRA and isotretinoin slowed tumor growth in ACC primagraft models in vivo and diminished MYB-bound translocated enhancers. We observed physical binding of RAR at the MYB locus, consistent with our model of retinoic acid–induced transcriptional suppression of MYB. Thus, our work establishes the preclinical activity of ATRA and other retinoic acid agonists in ACC and will lead to a clinical trial shortly.
Zebrafish chemical genetic screen identifies regulators of
We previously reported a chemical genetic screen that identified inducers of myogenesis using an embryonic pluripotent blastomere culture system in zebrafish (Xu et al., 2013). Here, we have adapted this culture screening system to find modulators of c-myb, a marker of HSPCs. We used a culture system involving a BAC transgenic reporter with GFP at the ATG of the c-myb gene (North et al., 2007). Embryos were dissociated into single cells at sphere stage (4 h postfertilization [hpf]) and plated with chemicals for 2 d until fluorescence was evaluated (Fig. 1 A). Gene expression analysis of sorted c-myb:GFP–expressing cells demonstrated that these cells derived in culture contained a mixture of blood, neuroepithelial, and retinal cell types, thereby proving that c-myb:GFP was expressed in similar tissues as the endogenous gene in zebrafish.
We screened 3,840 bioactive small molecules in duplicate for suppression of c-myb:GFP and identified 107 chemical hits (2.8% hit rate, z-score <1.44, and >70% c-myb:GFP down-regulation). The z-score represents the average across the two plates and normalizes for variable amounts of GFP fluorescence among the plates screened. Visual inspection revealed that 22 hits had normal embryoid body formation (Table S1). This suggested that the c-myb:GFP down-regulation observed was specific and not due to toxicity effects of the chemicals (Fig. 1 B), as opposed to the remaining hits that showed poor embryoid body morphology indicative of general cell toxicity. Retinoic acid agonists were identified as potent suppressors of c-myb:GFP expression in the blastomere cultures at low concentrations (Fig. 1, C and D; and Fig. S1). Given that c-myb:GFP was expressed by a variety of different cell types in the culture system, the retinoic acid effects on c-myb expression can occur in many tissues.
Retinoic acid agonists decrease
c-myb–positive cells in vivo
C-myb is required for HSPC formation in zebrafish and mammalian blood development (Orkin and Zon, 2008). C-myb is also expressed in mature myeloid cells such as neutrophils and macrophages (Graf, 1992). Thus, we wanted to investigate if retinoic acid treatment functions on HSPCs and myeloid cells located in the subsequent hematopoietic niche between 48 and 72 hpf. We quantified the number of c-myb:GFP+ cells of live zebrafish embryos treated with ATRA in double-transgenic embryos along with mpeg1:mCherry+ (macrophage marker) or lyz:dsRed+ (neutrophil marker) cells at 72 hpf (Fig. S2 A). We also examined alterations on endogenous hematopoietic populations by whole mount in situ hybridization in ATRA-treated wild-type AB embryos (Fig. S2 E). In embryos treated with ATRA, we found there was a significant decrease in the number of c-myb:GFP+ cells (Fig. S2, B–D) and c-myb and runx1 expression (Fig. S2, F, G, and J). There was no significant difference in mpeg1:mCherry+ and lyz:dsRed+ cells (Fig. S2, B–D) or mpx (myeloperoxidase, a neutrophil marker) and l-plastin (macrophage and neutrophil marker) expression (Fig. S2, H–J). Other retinoic acid agonists besides ATRA also strongly decreased c-myb levels (Fig. S2 J). Taken together, these findings argue strongly for a specific inhibitory role of retinoic acid agonists on the c-myb–positive HSPC population that does not affect mature myeloid cells.
Retinoic acid agonists work rapidly to down-regulate
c-myb expression in isolated tissues
To examine the role of retinoic acids on endogenous c-myb expression, we sorted c-myb:GFP–expressing cells from 72-hpf transgenic embryos and treated them ex vivo with 1 µM retinoic acid agonists for 6 h (Fig. 2 A). At this stage, transgenic zebrafish express c-myb:GFP in blood, neural, hatching gland, and eye tissues. Retinoic acid treatments caused a rapid decline in c-myb and GFP transcript expression, whereas mpx gene expression was unaffected (Fig. 2 B), in accordance with our in vivo findings.
We predicted that the retinoic acid down-regulation of c-myb expression in zebrafish embryos and cell cultures could likewise act in mammalian tissues. Retinoic acid has been linked to a block of differentiation in certain systems, and this correlates with a reduction in c-myb (Thiele et al., 1988; Weston, 1990; Thompson and Ramsay, 1995). Our data that retinoic acid works very quickly to lower c-myb mRNA expression in isolated zebrafish cells strongly suggest a direct, rapid action of retinoic acid on the myb gene.
We next sought to treat human cell lines with retinoic acid and evaluate expression of myb. Ideally, we would directly evaluate if retinoic acid suppresses myb in ACC. There are no validated ACC cell lines available for in vitro analysis, and thus these experiments are not possible. A discussion with the Adenoid Cystic Carcinoma Research Foundation confirmed that there are no ACC cell lines available (unpublished data). Although some primary ACC tumors have been cultured in the short term (Almeida et al., 2017; Nör et al., 2017; Panaccione et al., 2017), these ACC cultured cells grow poorly. Hence, we tried retinoic acid treatment of human U937 cells, a myeloid leukemia line that expresses high levels of c-myb, to facilitate our in vitro studies. These studies were simply to prove that the myb suppression could be accomplished in human cells.
U937 cells down-regulated c-myb expression within 1 h of ATRA treatment and for extended periods of time (Fig. S3, A and B), which suggested a direct transcriptional mechanism of regulation and was consistent with previous reports (Smarda et al., 1995). We also analyzed other retinoic acid agonists that were able to decrease c-myb expression (Fig. S3 C). Retinoic acid binds RAR (α, β, or γ), which exists as a heterodimer with retinoid X receptor (RXR) and acts to control gene transcription upon ligand binding (Cunningham and Duester, 2015). Although 9-cis retinoic acid is a natural ligand of both pan-RAR and RXR (Allenby et al., 1993), the reduction in c-myb gene expression we observed with the pan-RAR agonists ATRA, retinoic acid p-hydroxyanilide, and isotretinoin (Das et al., 2014) strongly indicated that signaling via RAR specifically was responsible for c-myb down-regulation. We also observed an increase in Mac1+ U937 cells in response to ATRA treatment (data not shown), consistent with reports of ATRA-induced differentiation in U937 cells (Olsson and Breitman, 1982). Retinoic acid agonists inhibited U937 proliferation in a dose-dependent manner after 48 h of treatment (Fig. S3, D and E), suggesting that the acute reduction of c-myb and the transcriptional response to retinoic acid leads to a proliferative defect.
Retinoic acid agonists slow ACC tumor growth in vivo
MYB translocations are near-universal features in ACC in which the MYB gene regulatory elements are maintained in the resulting fusions (Wysocki et al., 2016). The nuclear hormone receptors, including the steroid receptors, androgen receptors, and RARs, bind to a common RXR (Evans and Mangelsdorf, 2014). The binding of one ligand to RXR could therefore block the response to another ligand, essentially preventing the transactivation potential or DNA binding of the specific receptors. Hence, ATRA, as a retinoic acid agonist, could block MYB transcription directly, especially given the rapid inhibition in c-myb gene expression we observed by retinoic acid treatments. In addition, ATRA would also be an appealing drug for ACC since it is clinically available for acute promyelocytic leukemia. By decreasing transcription of the MYB gene, we reasoned that it may be possible to modify the course of the disease with retinoic acid treatments by disrupting positive feedback loops involving MYB.
We assessed the in vivo efficacy of ATRA and isotretinoin in ACC xenotransplantation trials (Fig. 3 A). Evidence suggests that patient-derived xenografts (PDXs) serve as the most reliable preclinical model available by preserving tumor structure and heterogeneity and facilitating clinical predictions of drug responses in vivo (Ruggeri et al., 2014). PDX studies are particularly important in ACC given that there are currently no ACC cell lines that can be cultured. Most ACC tumors are low grade (grades 1 and 2, with “tubular” and “cribriform” patterns, respectively), usually showing a mixture of both of these growth patterns, and are histologically dominated by myoepithelial cells, whereas a small number of tumors have predominantly luminal epithelial cells and are more aggressive (grade 3, with >30% “solid” pattern; Seethala, 2009; van Weert et al., 2015). For long-term tumor growth inhibition studies, we engrafted nude mice with three different human ACC tumors: x6 (grade 2 primagrafts) and x9 and x11 (grade 3 primagrafts). These PDX models were isolated from different patients, confirmed to have MYB translocations, and shown to recapitulate the parent tumors by histology and gene expression (Moskaluk et al., 2011).
Randomized groups of mice were treated with vehicle, ATRA, or isotretinoin, and tumor size was measured over time (Fig. 3 B). Retinoic acid treatment inhibited tumor growth significantly (Fig. 3 C). After long-term tumor growth studies were completed in ∼28 d, we discontinued ATRA treatment and continued to measure tumor size in the ATRA-treated mice groups over an extended period of time to monitor tumor maintenance after treatment (Fig. S4 A). Available mice weight data from two of the three long-term studies are provided (Fig. S4 B). Tumor inhibition was maintained in ACC x11, but not in ACC x6 and x9, suggesting that continuous treatment is needed to target residual tumor cells.
We performed xenotransplantation studies with ACC x9 and x5M1 (grade 2 primagraft) consisting of 3-d treatment with vehicle or ATRA to examine short-term kinetic responses. We detected a decrease in MYB protein expression as determined by Western blot analysis in ATRA-treated long-term ACC x11 and short-term ACC x5M1 primagrafts (Fig. 3 D and Fig. S5 A). For these short-term studies, we were interested in studying x5M1 primagrafts specifically, as this ACC line was derived from a metastatic site and is generally considered to be more resistant to treatments. RARα protein expression increased in the ATRA-treated samples, indicating that the tumors responded to ATRA treatment and that RARα thus serves as a useful marker to monitor ATRA response.
We examined apoptosis by caspase-3 and proliferation by Ki-67 markers with immunohistochemistry in the ACC x6, x9, and x11 primagrafts at the conclusion of the long-term treatment at 28 d (Fig. 3, E and F; and Fig. S5 B). At the time points we examined, ATRA treatment appeared to cause more cell death, which could account for the marked tumor growth inhibition we observed during the xenotransplantation trial, but had no significant effect on proliferation. When ATRA treatment was discontinued (Fig. S4 A), tumor inhibition of ACC x11 was maintained, suggesting that these tumors did not regrow despite the presence of proliferative areas with Ki-67–positive cells, which is a phenomenon that has been reported in other cancers (Ottewell et al., 2010).
Translocations involving MYB have been previously described in ACC for bringing strong enhancers into close proximity of the MYB locus, and these enhancers are also bound by MYB protein, resulting in a positive feedback loop that drives MYB overexpression (Drier et al., 2016). Since there are no ACC cell lines available to the scientific community, we undertook mapping of MYB protein binding in ACC x9 primagrafts by ChIP-seq after 3 d of treatment. Few articles have published ChIP-seq results from primagrafts, but we had adequate material for high quality reads. We specifically observed a strong decrease in MYB binding due to ATRA treatment at two translocated enhancers in the downstream region of NFIB that is fused to the MYB locus in ACC x9 (Fig. 4 A). In addition, there was a concomitant decrease in H3K27ac (marking active enhancers; Rivera and Ren, 2013) at these enhancer sites. ATRA treatment also resulted in a modest decrease in MYB binding at the MYB promoter, which would further act to weaken autoregulatory feed-forward mechanisms. Upon ATRA treatment, we found that RAR binds physically at the 5′ region of the MYB gene and at the translocated enhancer downstream of exon 9 of NFIB. We confirmed that these sites have RARα binding motifs as determined by the JASPAR database (Mathelier et al., 2016).
ATRA treatment stimulated the increased expression of RAR due to positive autoregulation by the agonist-bound receptor (Fig. 5 A). Thus, RAR levels become elevated at the MYB promoter and enhancer (En1 in Fig. 4 A). The elevated levels of RAR on the MYB regulatory elements are repressive and cause a reduction in MYB expression. The CEP89 gene, among others that are bound by MYB, also show this mechanism (Fig. 5 B). It is also possible that increased RAR binding displaces MYB binding, and other complex mechanisms of regulation are also possible (Pfitzner et al., 1998; McKeown et al., 2017). Our study illustrates that disruption of the common core MYB circuitry in ACC with retinoic acid agonists results in RAR binding at the MYB gene and downstream translocated enhancers, which suppresses MYB binding at these regulatory sites, inhibits transcription of MYB, and offers a new potential therapy targeting the underlying cause of the disease.
We used ChIP-seq to identify super-enhancers from chromatin regions with high H3K27ac levels (Hnisz et al., 2013) in ACC primagraft tumors and ranked the enhancers based on enrichment (Table S2). MYB target genes were associated with super-enhancers, such as EN1, CREB3L2, ITGA6, JAG1, NUFIP1, ARID1A, CDH1, SPEN, NOTCH1, and CCND1, as was previously observed (Drier et al., 2016). We also found that numerous super-enhancers were associated with neural crest genes (Fig. 5 C), which is consistent with reports linking ACC to drivers of neural crest cells (Yarbrough et al., 2016). These super-enhancers provide opportunities for new targets in ACC.
We determined by RNA sequencing (RNA-seq) that RARA and RARG gene levels significantly increased ∼35% in short-term ACC x9 primagrafts, and MYB levels decreased 18% due to ATRA treatment (n = 3, P < 0.05). Using gene set enrichment analysis on this RNA-seq data (Subramanian et al., 2005), we found both an enrichment of MYB target genes (Shepard et al., 2005) and cell cycle genes (O’Farrell, 2001; Bruinsma et al., 2012; Wang et al., 2014) positively associated with vehicle-treated tumors and negatively correlated with ATRA-treated tumors, as expected (Fig. 5 D). We also discovered reduced MYB protein binding genome-wide due to ATRA treatment (Fig. 4 B). To determine the specific effect of MYB binding due to ATRA induction, we assigned ChIP-seq binding peaks to genes within 15 kb and generated heat maps around those peaks (Fig. 4, C–E). Analysis of the retinoic acid target gene set list, which includes genes that were either up-regulated or down-regulated, showed increased binding of RAR to the targets, but no correlation between MYB binding in the vehicle- and ATRA-treated ACC primagrafts (Fig. 4 C). We further analyzed the retinoic acid–induced gene set list to determine the effect on MYB binding. In this analysis of the MYB peaks we obtained by ChIP-seq, MYB binding decreased significantly in genes that were MYB bound in the vehicle-treated tumors, but there were no binding differences observed in the peaks of ATRA-treated tumors compared with vehicle (Fig. 4 D). The MYB gene is an example of the former, as it is a target of retinoic acid, and the MYB binding in the vehicle-treated tumors was strongly decreased upon ATRA treatment. We also analyzed MYB target genes that were down-regulated by ATRA induction independent of RAR binding, and similarly saw that MYB binding decreased significantly in genes that were MYB bound in the vehicle-treated tumors, but there were no binding differences observed in the peaks of ATRA-treated tumors compared with vehicle (Fig. 4 E). While there are many genes like MYB with reduced expression after treatment with ATRA, these data collectively support the concept that ATRA treatment leads to a specific gene program with decreased MYB binding in particular target genes in patient-derived primagrafts.
Our studies also show that RARα protein levels are significantly up-regulated in the tumors treated with ATRA, with very low expression in the vehicle-treated tumors. RARα expression serves as a marker for tumor response to ATRA (Fig. 3 D). RARα establishes that the tumor received retinoic acid, but does not necessarily imply that the MYB levels are reduced in the tumor. Nevertheless, this could help monitor the efficacy of ATRA in a planned clinical trial for metastatic ACC. Our studies suggest that ATRA acts via RAR to suppress MYB expression, possibly through an interruption of the MYB-driven regulatory loops that leads to an abrogation of the oncogenic activity of the fusion gene. Our work suggests that prolonged exposure to ATRA could be used as a treatment for ACC.
In this study, we used a zebrafish chemical genetic screening approach that revealed retinoic acid agonists as down-regulators of c-myb. Our high-throughput blastomere cell screening platform leverages the benefits of zebrafish, including the high fecundity of adults to collect thousands of embryos each week for chemical screening, and the high degree of genetic conservation with mammals for the reliable translation of chemical hits. We were able to screen thousands of compounds in an automated manner at a fraction of the time that would be needed to analyze whole embryo readouts, as in an in situ hybridization–based screen. The zebrafish screen was performed using a GFP reporter driven by the natural transcriptional regulatory elements, which revealed transcriptional suppressors of c-myb. Retinoic acid treatment in ACC primagrafts resulted in lower MYB occupancy at the 5′ MYB regulatory element and even lower occupancy at translocated enhancers as a result of this transcriptional suppression of MYB. Retinoic acids identified in our zebrafish embryo cell culture strategy thus showed strong ACC tumor growth inhibition in xenotransplantation models by targeting MYB, which highlights the power of our zebrafish system as a preclinical discovery tool.
ACC is a fatal disease without an effective therapy. Translocated enhancers from MYB chromosomal rearrangements in ACC generate positive feedback loops that lead to MYB overexpression and malignant transformation. Here, we have found that retinoic acid causes a reduction in c-myb levels in zebrafish and patient-derived ACC tumors. Retinoic acid agonists are potent transcriptional suppressors of MYB, as RAR is physically bound at the MYB locus. Retinoic acid treatment causes a decrease in H3K27ac and MYB binding at the translocated enhancers, which can weaken the oncogenic MYB-driven feedback loops to cause tumor cell death.
Our function studies on the effect of retinoic acid on MYB expression in ACC, taken together with the clinical availability of ATRA and known toxicity profile, provide a strong rationale to treat ACC with ATRA. Acute promyelocytic leukemia due to a translocation resulting in promyelocytic leukemia/RARα fusion can be treated with an ATRA split dose of 45 mg/m2 daily (Degos and Wang, 2001). ATRA treatment is often combined in these patients with anthracycline chemotherapy or, in low-risk patients (white blood cell count <10,000/µl and platelet count >40,000/µl), with arsenic trioxide (Lo-Coco et al., 2016). The aberrant protein containing a RARα fusion is sensitive to ATRA and is consequently degraded. Although the mechanism of action of ATRA in acute promyelocytic leukemia is distinct from the MYB transcriptional inhibition we propose in ACC, the known safety profile of ATRA may guide its use in ACC. In addition, we established RARα as a marker that could be used to monitor ATRA induction in biopsies from ACC patients receiving ATRA in a clinical trial. This, coupled with monitoring circulating tumor DNA for the translocation, will facilitate the correlation of tumor response to ATRA to clinical activity.
Approximately 10% of ACC tumors harbor translocations involving the related MYBL1, but to our knowledge there are no PDX models harboring an MYBL1 fusion. The common oncogenic pathways in MYB and MYBL1 ACC tumors were reported to be interchangeable, and the translocations often truncate the 3′ specificity-conferring end of the related MYB and MYBL1 (Brayer et al., 2016). These observations suggest that retinoic acid may also be therapeutically useful in ACC tumors with MYBL1 rearrangements, which is a subject worthy of future study.
Unlike ACC x9 and x11 tumors, ACC x6 tumors are sensitive to bromodomain inhibitors (Drier et al., 2016). ACC x9 tumors are NOTCH dependent and show sensitivity to gamma-secretase inhibitors (Stoeck et al., 2014). In contrast, we observed tumor sensitivity to retinoic acids across ACC x6 (involving MYB-TGFBR3 translocations) and x9 and x11 (both involving MYB-NFIB translocations) primagrafts, which shows that our strategy of targeting MYB can be applied effectively against different ACC mutations in grade 2 and 3 tumors. Given the near-universal prevalence of MYB activation in ACC tumors, the exploitation of MYB targeting has the potential to offer broad therapeutic efficacy. We plan to test single-dose ATRA in patients with metastatic ACC to examine safety and efficacy.
Our pluripotent blastomere culture assay enabled us to identify chemical regulators of c-myb:GFP expression. Virtually any zebrafish reporter line of interest can be incorporated in this versatile system, which makes it a powerful discovery tool to screen for chemical modulators of tumor formation, identify regulators of oncogenic events, perform tumor suppressor screens, and assay for new therapies to target other tumors.
Materials and methods
The goal of the study was to identify chemical suppressors of MYB. The study used a zebrafish embryo cell culture as a screening platform. Retinoic acid agonists were tested in independent in vitro and in vivo models, including human patient-derived ACC tumor xenografts in mice, U937 cells, and zebrafish. The mechanism of action of retinoic acids on MYB regulation and hematopoiesis was validated in the human ACC primagraft tumors, U937 cells, and zebrafish using chemical genetic and biochemical assays. Tumors from three different primary human ACC patients were used in the xenotransplantation trials and tested with vehicle, ATRA, or isotretinoin. Drug effects were measured relative to vehicle control. Mice were assigned randomly to groups. Zebrafish in situ staining, caudal hematopoietic tissue (CHT) cell counting, and tumor immunohistochemistry sections were scored blindly. Experiments were performed in triplicate, unless otherwise stated, data points were combined from independent biological replicates and experiments, and outliers were not excluded.
Culture of dissociated blastomere cells
Stage-matched zebrafish blastomeres were dissociated at 4 hpf and grown in a medium composed of 5% FBS and 10% embryo extract, with the remaining 85% of medium containing 50% Leibowitz’s L-15 (Invitrogen), 20% DMEM (Invitrogen), and 30% DMEM/F-12 (Invitrogen), supplemented with 2% B27 (Gibco), 15 mM Hepes (Gibco), 1% L-glutamine (Gibco), 1% N2 (Gibco), 10 nM sodium selenite (Sigma), 100 μg/ml piperacillin (Sigma), 10 μg/ml ciprofloxacin (GenHunter), and 0.018% sodium bicarbonate (Gibco). Embryo extract was made by homogenizing 24-hpf wild-type AB embryos in HBSS (Gibco). All zebrafish experiments and procedures were performed as per protocols approved by the Boston Children’s Hospital Institutional Animal Care and Use Committee (IACUC) and the Harvard University IACUC.
To screen each chemical library plate in duplicate, two 384-well plates were coated with 0.1% gelatin. C-myb:GFP (North et al., 2007) embryos were washed with E3 embryo water and dechorionated with pronase. Embryos were washed with E3 embryo water, resuspended in blastomere media, inverted ∼15 times to dissociate, and filtered through a 40-µm nylon mesh filter. Single cells obtained were aliquoted 40 µl per well at approximately two embryo equivalents per well and immediately screened with chemicals from the National Institutes of Health (720; Evotec), Library of Pharmacologically Active Compounds (1,440; Sigma), ICCB Known Bioactives (480; Biomol), and Nuclear Hormone Receptor and Kinacore (1,200; ChemBridge) libraries at 30 µM. Cells were cultured in a 28°C incubator with 5% CO2 for 2 d. Cells were stained with draq5 (Cell Signaling Technology) and imaged using a Cell Voyager 7000 (Yokogawa).
A 4× image of the nuclear and fluorescent expression from the entire well was then thresholded, and percent area was computed using ImageJ/Fiji. Control wells (≥200 per plate) were identified using quartile exclusion of outliers, and using these wells, a standard curve was built with GFP versus nuclear staining in MatLab. From that standard curve, residuals were calculated for each treated well and divided by the standard deviation in the control wells to obtain the z-score of each chemical treatment.
Dose-response studies using c-myb:GFP embryo cultures and follow-up experiments were performed with retinoic acid agonists dissolved in DMSO: AM580 (Tocris), 9-cis retinoic acid (Sigma), retinoic acid p-hydroxyanilide (Sigma), TTNPB (Tocris), AC261066 (Tocris), and ATRA (Sigma).
Double transgenic c-myb:GFP; lyz:dsRed (Hall et al., 2007) or c-myb:GFP; mpeg1:mCherry (Ellett et al., 2011) embryos from the same clutch were treated between 48 and 72 hpf (n = 4 biological replicates per treatment group) with 10 µM ATRA diluted in E3. Live 72-hpf embryos were embedded in 0.8% low–melting point agarose containing 0.04 mg/ml Tricaine and imaged on a Nikon Eclipse Ti microscope with 20× Plan-Apo DIC N.A. 0.75. Images were acquired with Andor iXon x3 EMCCD cameras and NIS Elements software. CHT cells were counted blindly in Z-stack image projections processed on Imaris software (Bitplane). The c-myb:GFP cell counts were combined across the two sets and displayed in the graph.
In situ hybridization
Wild-type AB embryos from the same clutch were treated between 48 and 72 hpf with 10 µM retinoic acid agonists diluted in E3, fixed at 72 hpf in 4% paraformaldehyde, and processed as previously described (Thisse and Thisse, 2008). CHT staining in the embryos was blindly scored as high, medium, or low and summed across three independent experiments as done previously (Li et al., 2015). Representative images were acquired on a Nikon ZMS18 microscope.
U937 cells (ATCC) were grown in RPMI 1640 medium (Gibco) supplemented with 10% FBS and 1% penicillin-streptomycin (Gibco) and cultured in a 37°C incubator with 5% CO2. U937 cells were tested every other week for mycoplasma contamination using the MycoAlert Mycoplasma Detection Kit (Lonza) and consistently confirmed to be negative. Cells were seeded at an initial density of 1,150 cells/well (96-well plate) with chemicals at the concentrations indicated. After 48 h, cell proliferation rates were determined using a CellTiter-Glo (Promega) luminescent cell viability assay as per the manufacturer’s instructions.
Zebrafish quantitative PCR analysis
Stage-matched 72-hpf c-myb:GFP transgenic embryos were finely chopped and dissociated using Liberase (Roche). GFP+ cells were collected using a FACS Aria cell sorter (BD Biosciences). Sorted cells were resuspended in zebrafish blastomere media and plated with 1 µM retinoic acid agonists for 6 h. Cells were then collected and RNA was isolated using the RNeasy Micro Plus Kit (Qiagen) as per the manufacturer’s instructions. cDNA was synthesized using the SuperScript III Kit (Life Technologies). Quantitative PCR was performed in triplicate on a Bio-Rad iQ5 real-time PCR machine using Ssofast EvaGreen Supermix (Bio-Rad). Samples were normalized to the β-actin gene. The zebrafish primers used were as follows (forward and reverse, respectively): actin, 5′-CGAGCAGGAGATGGGAACC-3′ and 5′-CAACGGAAACGCTCATTGC-3′; c-myb, 5′-TGATGCTTCCCAACACAGAG-3′ and 5′-TTCAGAGGGAATCGTCTGCT-3′; mpx, 5′-GCTGCTGTTGTGCTCTTTCA-3′ and 5′-TTGAGTGAGCAGGTTTGTGG-3′; GFP, 5′-AAGCTGACCCTGAAGTTCATCTGC-3′ and 5′-CTTGTAGTTGCCGTCGTCCTTGAA-3′.
U937 time course quantitative PCR analysis
U937 cells were plated with 1 µM retinoic acid agonists for the duration indicated. Cells were then collected, and RNA was isolated using the RNeasy Plus Mini Kit (Qiagen) as per the manufacturer’s instructions. Further processing was done as described in the section above. Samples were normalized to the β-actin gene. The human primers used were as follows (forward and reverse, respectively): actin, 5′-AGTGGGGTGGCTTTTAGGAT-3′ and 5′-CCGAGGACTTTGATTGCACA-3′; c-myb, 5′-GGCAGAAATCGCAAAGCTAC-3′ and 5′-ACCTTCCTGTTCGACCTTCC-3′.
For in vivo drug testing, ACC tumor fragments (Moskaluk et al., 2011) from host animals were implanted subcutaneously into the flank of nude mice (CRL: ATH/NU). Once tumors reached 125–250 mm3, mice were randomized to receive vehicle or drug diluted in 10:90 DMSO:10% hydroxypropyl-β-cyclodextrin orally until controls reached a tumor volume endpoint of 1–2 cm3 (four to nine mice per group: x5M1 and x6, four treated vs. nine vehicle controls; x9, four treated vs. five vehicle controls; x11, five treated vs. eight vehicle controls). Mice were treated with ATRA (ACC x6 and x11: 4 mg/ml, 0.2 ml-flat dose; ACC x9: 3 mg/ml, 0.2-ml flat dose) or isotretinoin (30 mg/ml, 0.2-ml flat dose). Tumor growth was monitored, and mice were weighed twice weekly; the studies ended when the final group reached tumor volume endpoint. No statistical methods were employed to determine the sample size, and no blinding of investigators was performed. After long-term tumor growth inhibition studies were completed, the ATRA-treated mice stopped receiving treatment and were maintained longer as indicated to monitor tumor maintenance after treatment cessation. The weight data available from two of the three studies are provided. In the ACC x11 model, there was a water bottle issue on day 30, but when treatment was stopped, overall weight gain was noted, and the mice were fine in these two studies. For long-term tumor growth inhibition studies, ACC x6, x9, and x11 models were used, and primagrafts were collected at the completion of the study. Short-term kinetics studies were also undertaken with ACC x9 and x5M1 primagrafts involving 3-d ATRA treatments. All animal procedures used in this study were approved by the IACUC at South Texas Accelerated Research Therapeutics, San Antonio, TX.
ACC x11 (from long-term tumor growth inhibition studies) and ACC x5M1 (from short-term kinetics studies) primagrafts were mechanically homogenized in radioimmunoprecipitation assay lysis buffer (Thermo Scientific) supplemented by the addition of complete protease inhibitor cocktail (Roche). Protein concentrations were determined by detergent compatible protein assay (Bio-Rad). Samples were denatured by adding Laemmli sample buffer (Bio-Rad) with β-mercaptoethanol (Sigma) and boiled at 95°C for 5 min. 10 µg of protein was resolved by electrophoresis through 4–20% mini-PROTEAN TGX (Bio-Rad) precast gels. Proteins were transferred onto a nitrocellulose membrane using the iBlot dry blotting system (Invitrogen). Membranes were incubated overnight with the following primary antibodies: anti-Myb (ab45150; Abcam), anti-RARα (MAB5346; Chemicon), and anti-GAPDH (2118s; Cell Signaling Technology) as loading control. Protein bands were detected using horse anti-mouse HRP (7076S; Cell Signaling Technology) or goat anti-rabbit HRP (7074S; Cell Signaling Technology). Three biological replicates (individual primagrafts from different mice) for each treatment group were analyzed for protein expression. HEK293T cell lysate, which lacks MYB expression, was processed similarly and used as a negative control on the same blots.
Sectioning and staining was performed by the Dana-Farber/Harvard Cancer Center Specialized Histopathology Core using standard procedures on ACC x6, x9, and x11 samples (from long-term tumor growth inhibition studies). Slides were baked for 60 min in an oven set to 60°C and loaded into the Bond III staining platform with appropriate labels. Slides were either antigen retrieved in Bond Epitope Retrieval 2 for 20 min and incubated with Ki-67 (SP6) (CRM325; Biocare) at 1:200 for 30 min at room temperature, or antigen-retrieved in Bond Epitope Retrieval 1 for 30 min and incubated with cleaved caspase-3 (5A1E; 9664; Cell Signaling Technology) at 1:150 for 30 min at room temperature. Primary antibody was detected using the Bond Polymer Refine Detection Kit. Slides were developed in 3,3′-diaminobenzidine, dehydrated, and coverslipped. Transmitted light images were acquired on a Nikon Eclipse E600 microscope at 40×. Images (>200 nuclei each) from three different individual primagrafts were blindly quantitated.
RNA-seq and bioinformatics
RNA-seq was performed on three biological replicates of ACC x9 primagrafts (from short-term kinetics studies) treated with vehicle or ATRA for 3 d (individual primagrafts from different mice). Frozen primagrafts were lysed, and RNA was isolated using the RNeasy Mini Plus Kit (Qiagen) as per the manufacturer’s instructions. Ribosomal RNA was then depleted using the Ribo-Zero Gold Kit (Epicentre) as per the manufacturer’s instructions. Sequencing libraries were constructed from ribosome-depleted RNA samples using the NEBNext Ultra Kit (New England Biolabs) and sequenced on a Hi-Seq 2500 instrument (Illumina).
Quality control of RNA-seq datasets was performed by FastQC and Cutadapt to remove adaptor sequences and low quality regions. The high quality reads were aligned to the University of California, Santa Cruz (UCSC) Genome Browser build hg19 of the human genome using Tophat 2.0.11 without novel splicing form calls. Transcript abundance and differential expression were calculated with Cufflinks 2.2.1. FPKM (fragments per kilobase of exon per million fragments mapped) values were used to normalize and quantify each transcript; the resulting list of differential expressed genes were filtered by log fold change >2 and q-value <0.05. Datasets are deposited in the Gene Expression Omnibus under accession no. GSE98008.
ChIP-seq and bioinformatics
ChIP-seq was performed on ACC x9 primagrafts (from short-term kinetics studies) treated with vehicle or ATRA for 3 d. Frozen primagrafts were mechanically dissociated, formaldehyde cross-linked, and collected. ChIP was performed as described previously (Lee et al., 2006) with 10 µg of antibodies against c-myb (A304-136A; Bethyl), pan-RAR (sc-773X; Santa Cruz), and H3K27ac (ab4729; Abcam). Sequencing libraries were constructed using the NEBNext Multiplex Oligos Kit (New England Biolabs) and sequenced on a Hi-Seq 2500 instrument (Illumina).
All ChIP-seq datasets were aligned to UCSC build version hg19 of the human genome using Bowtie2 (version 2.2.1; Langmead and Salzberg, 2012) with the following parameters: -end-to-end, -N0, -L20. We used the MACS2 version 2.1.0 (Zhang et al., 2008) peak-finding algorithm to identify regions of ChIP-seq peaks, with a 0.05 q-value threshold of enrichment for all datasets. ChIP-seq enrichment was determined as described previously (Trompouki et al., 2011) in a 5-kb region (as counts per million) centered on the enriched peak regions (n = 1,872) of the given MYB datasets. Datasets are deposited in the Gene Expression Omnibus under accession no. GSE98008.
Heat maps of the ChIP-seq binding were generated using the input normalized results of the MACS peak calling output. The outputted bedGraph files were converted to BigWig files. Those files were then processed using computeMatrix and plotHeatmap tools within the deeptools 3.0 package. All figures centered on called peaks from the macs2 output. Those peaks were assigned genes using GREAT to find genes within 15 kb of peaks. The peaks that had genes that had an associated fold change of 1.2 by RNA-seq were extracted and used to generate further figures.
Super-enhancers were identified as previously described (Hnisz et al., 2013). H3K27ac peaks from vehicle-treated ACC primagrafts were used to locate enhancers, and H3K27ac signal minus the input control was used to rank enhancers based on enrichment.
As previously described (Li et al., 2015), in situ hybridization experiments were analyzed by χ2 or Fisher’s exact test if sample sizes were small. All other P values were determined by unpaired two-tailed Student’s t test by comparing treated samples to untreated controls. Significance of dose-response curves and proliferation assays was determined at a 1 µM concentration. Significance of ATRA or isotretinoin treatment in the long-term primagraft experiments was determined by comparing the change in tumor growth in the control and treated groups. Statistics were performed using GraphPad Prism software. Graphs show means with SEM as indicated.
Data and materials availability
ChIP-seq and RNA-seq data have been deposited in the Gene Expression Omnibus (accession no. GSE98008).
Online supplemental material
Fig. S1 shows how retinoic acid agonists down-regulated c-myb:GFP in dose-response curves. Fig. S2 shows how ATRA decreased c-myb–positive cells in vivo in the CHT of zebrafish embryos. Fig. S3 shows how retinoic acid agonists down-regulated c-myb expression in human U937 cells. Fig. S4 shows tumor maintenance curves after ATRA was discontinued in ACC xenotransplants and the percent weight change of the mice. Fig. S5 shows ATRA down-regulated MYB levels in short-term ACC primagrafts, and immunohistochemistry images of primagrafts. Table S1 lists the hits we identified in our screen of chemical down-regulators of c-myb:GFP zebrafish embryo cultures that maintained normal embryoid body formation. Table S2 lists the ranked super-enhancers in ACC primagrafts and associated genes.
We thank Y. Zhou, S. Yang, A. Lichtig, R. Mathieu, and T. Schlaeger for technical assistance and J. Aster, E. Hagedorn, and R. Young for helpful discussions. FACS was performed by the Boston Children’s Hospital Flow Cytometry Research Facility Core. Immunohistochemistry was performed by the Dana-Farber/Harvard Cancer Center Specialized Histopathology Core.
This work was supported by the Adenoid Cystic Carcinoma Research Foundation; the Harvard Stem Cell Institute; the Howard Hughes Medical Institute; National Institutes of Health grants R01 HL048801, P01 HL032262, P30 DK049216, R01 DK053298, U01 HL100001, and R24 DK092760 to L.I. Zon; the Canadian Institutes of Health Research Doctoral Foreign Study Award DFS-146184 to J. Mandelbaum; and the American Cancer Society Postdoctoral Fellowship 122577PF1214601DDC to I.A. Shestopalov.
L.I. Zon is a founder and stockholder of Fate Therapeutics, Scholar Rock, and CAMP4 Therapeutics. The authors declare no other competing financial interests.
Author contributions: L.I. Zon, J. Mandelbaum, and I.A. Shestopalov designed the study. J. Mandelbaum, I.A. Shestopalov, R.E. Henderson, B. Knoechel, and M.J. Wick performed experiments, analyzed data, and gave conceptual advice. L.I. Zon, J. Mandelbaum, and N.G. Chau wrote the manuscript. All authors discussed the results and reviewed the manuscript.