Abstract
Overexpression of MYC is a genuine cancer driver in lymphomas and related to poor prognosis. However, therapeutic targeting of the transcription factor MYC remains challenging. Here, we show that inhibition of the histone deacetylase 6 (HDAC6) using the HDAC6 inhibitor Marbostat-100 (M-100) reduces oncogenic MYC levels and prevents lymphomagenesis in a mouse model of MYC-induced aggressive B-cell lymphoma. M-100 specifically alters protein-protein interactions by switching the acetylation state of HDAC6 substrates, such as tubulin. Tubulin facilitates nuclear import of MYC, and MYC-dependent B-cell lymphoma cells rely on continuous import of MYC due to its high turn-over. Acetylation of tubulin impairs this mechanism and enables proteasomal degradation of MYC. M-100 targets almost exclusively B-cell lymphoma cells with high levels of MYC whereas non-tumor cells are not affected. M-100 induces massive apoptosis in human and murine MYC-overexpressing B-cell lymphoma cells. We identified the heat-shock protein DNAJA3 as an interactor of tubulin in an acetylation-dependent manner and overexpression of DNAJA3 resulted in a pronounced degradation of MYC. We propose a mechanism by which DNAJA3 associates with hyperacetylated tubulin in the cytoplasm to control MYC turnover. Taken together, our data demonstrate a beneficial role of HDAC6 inhibition in MYC-dependent B-cell lymphoma.
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Introduction
B-cells are prone to lymphomagenesis due to their high proliferative capacity and dependence on physiological DNA damage during V(D)J recombination and affinity maturation in germinal centers [1]. Non-Hodgkin’s lymphomas, such as Burkitt’s lymphoma (BL) and diffuse large B-cell lymphoma (DLBCL) are aggressive heterogeneous lymphomas originating from germinal center B-cells [2]. BL is typically characterized by translocations of MYC to the vicinity of potent immunoglobulin enhancers, such as t(8;14) [1]. DLBCL shows various molecular alterations, among them translocations of BCL6 or BCL2 [1]. However, MYC translocations also occur in around 15% of DLBCL [2], and elevated expression of MYC correlates with poor clinical prognosis in B-cell lymphoma [3, 4]. Overexpression of the transcription factor MYC leads to fatal misregulation of cellular metabolism, cell growth, and signaling pathways [5, 6]. Moreover, MYC controls proliferation, angiogenesis, and mRNA processing in tumor development [7, 8].
MYC is known to associate with microtubules for the nuclear import of MYC [9]. Importantly, MYC has a half-life of roughly half an hour when transiently expressed [10]. This high turn-over rate and the absence of druggable structures make MYC a difficult target for direct inhibition [11]. Attempts to directly target MYC via small molecules did not achieve adequate results as these drugs underwent rapid degradation and showed unfavorably high IC50 values [11]. In fact, physiological levels of MYC fulfill crucial functions in many cell types, and pharmacological targeting of MYC should only counteract supraphysiological MYC levels present in malignant cells.
MYC can recruit epigenetic modifiers, such as the histone acetyltransferases p300/CBP or the histone deacetylases (HDACs) HDAC1 and HDAC3 to activate or repress distinct genes in cancer cells [8]. Pan-HDAC inhibitors (pan-HDACi) that target several HDACs have been shown to give promising results in hematologic malignancies [12,13,14]. The regulation of non-histone proteins, in particular proto-oncogenes, by HDACi enables the control of many essential cellular processes, such as cell survival, proliferation, protein stability, and protein interactions [15]. For example, pan-HDACi treatment has been shown to inhibit BCL-6 function by stabilizing BCL-6 acetylation, which leads to the de-repression of its target genes [16]. Interestingly, MYC can be found acetylated at K423 upon pan-HDACi treatment, which decreases MYC transcription via autoregulation and results in apoptosis [13]. However, the success of pan-HDACi in pre-clinical studies only partially improved treatment for patients with hematologic malignancies [17].
The use of HDACi that target singular members of the HDAC family will help to understand separate HDAC functions in hematologic malignancies. For example, treatment of DLBCL cells with the HDAC6 inhibitor ACY-1215 (Rocilinostat) was shown to activate the unfolded protein response by increasing quantity and acetylation of heat-shock proteins (HSPs), eventually resulting in cell death [18]. A first clinical trial involving treatment of lymphoma patients with ACY-1215 was completed and stated a favorable safety profile [19].
Interestingly, HDAC6 represents a microtubule-associated deacetylase and was shown to deacetylate microtubules at K40 [20, 21]. Recently, a novel HDAC6 inhibitor, Marbostat-100 (M-100), was developed based on the structure of Tubastatin A [22, 23]. M-100 inhibits the major catalytic domain of HDAC6 with at least 250-fold higher affinity compared to other HDACs and the binding mode was well described [22, 23]. Moreover, M-100 was well-tolerated in a preclinical model of rheumatoid arthritis and showed favorable pharmacodynamics in mice [22].
Our findings identified the HDAC6 inhibitor M-100 as a new tool to target MYC-dependent lymphomas. M-100 efficiently prevented lymphomagenesis, and induced apoptosis in human and murine lymphoma cells by reducing high MYC levels without harming untransformed B-cells. On a molecular basis, we identified a novel cytoplasmic interaction network formed by tubulin, HDAC6, and HSPs that regulates the protein stability of MYC. Our results suggest that inhibition of HDAC6 can be used to target excessive MYC in cancer.
Results
HDAC6 inhibition increases the survival of lymphoma-prone mice
The Eµ-Myc mouse line is a commonly used model for studying the spontaneous formation of B-cell lymphomas due to B-cell-specific overexpression of MYC, resembling partially disease phenotypes of BL or DLBCL [24]. We isolated lymphoma B-cells from Eµ-Myc mice and treated these cells ex vivo with the HDAC6 inhibitor M-100. Interestingly, mouse lymphoma cells showed a dose-dependent reduction of Myc protein levels after M-100 treatment (Fig. 1A). We also detected a strong acetylation of the HDAC6 substrate tubulin concluding efficient HDAC6 inhibition (Fig. 1A), which is a striking result as M-100 was originally developed against human HDAC6 [22, 23]. However, levels of unmodified tubulin remained unaltered (Supplemental Fig. 1). Besides, Parp-1 cleavage was detected in M-100-treated mouse lymphoma cells, indicating apoptosis induction (Fig. 1A). To test the effect of M-100 in vivo, we applied M-100 at 30 mg/kg as described before [22] via intraperitoneal (i.p.) injection to C57BL/6 mice. M-100 treatment did not affect immune cell populations in mice (Supplemental Fig. 2A–C), as previously shown [22]. Acetylation of tubulin was increased in splenic cells 6 h after injection and declined until 72 h post treatment (Fig. 1B). These results prompted us to test if continuous treatment with M-100 could prevent lymphoma development in Eµ-Myc mice.
To study the long-term effect of HDAC6 inhibition by M-100 on B-cell lymphomagenesis, 70-day-old Eµ-Myc mice with a high incidence for lymphoma development [25], received i.p. injections with 30 mg/kg M-100 or vehicle every 72 h for six weeks. Mice were monitored for an additional period of six weeks for spontaneous tumor formation after M-100 withdrawal. M-100 treatment of Eµ-Myc mice significantly increased the overall survival compared to vehicle-treated and untreated mice, even after M-100 withdrawal (Fig. 1C). While 60% of vehicle-treated Eµ-Myc mice developed lymphomas in this period, only one out of 17 M-100-treated mice manifested a lymphoma (B220+ IgM-) and had to be sacrificed. Lymphomas from non-treated and vehicle-treated Eµ-Myc mice showed a 2:1 ratio of IgM- to IgM+ B-cell tumors indicating that lymphoma cells in this model system have an immature or mature B-cell origin (Fig. 1D), as observed before [26]. Long-term treatment with M-100 did not affect the body weight of mice (Supplemental Fig. 2D). The mean spleen weight of Eµ-Myc mice, however, was significantly decreased after continuous M-100 treatment, indicating reduced disease progression (Fig. 1E, Supplemental Fig. 2E, F). We analyzed immune cell populations of surviving mice by flow cytometry. M-100-treated Eµ-Myc mice showed a slightly reduced splenic CD19+ B-cell pool (Fig. 1F, Supplemental Fig. 3A). B-cell development in the bone marrow was despite this not affected by M-100 treatment (Supplemental Fig. 3B) and increased apoptosis of B-cells was not detected in vivo (Supplemental Fig. 3C). In fact, B220low cells were still present in spleens (Supplemental Fig. 3C), which have been previously described as pre-tumor B-cells in this model [27, 28]. Besides, survivors from the M-100 cohort showed a significant decline in CD11b+ myeloid cells and an absolute as well as a relative increase in CD3+ T-cells compared to the vehicle group (Fig. 1F, Supplemental Fig. 3A). Here, further investigation showed that survival of primary CD4+ and CD8+ T-cells was not affected by M-100 treatment, whereas proliferation of CD4+ T-cells after M-100 treatment was even increased when cultured together with B-cells (Supplemental Fig. 3D–F). These results suggest that M-100 affects myeloid cell abundance and T-cell proliferation which might have contributed to prevent B-cell lymphomagenesis in Eµ-Myc mice.
Next, we assessed the curative potential of M-100 on already manifested lymphoma. We treated lymphoma-bearing Eµ-Myc mice with M-100 and analyzed their survival. After the detection of lymphoma, untreated Eµ-Myc mice died within 6 days. Acute M-100 treatment of sick Eµ-Myc mice significantly improved survival almost 3-fold, which was also indicated by maintaining lower disease severity scores (Fig. 1G, Supplemental Fig. 4). Taken together, HDAC6 inhibition strongly reduced B-cell lymphomagenesis and extended life span in mice overexpressing MYC in the B-cell compartment.
Inhibition of HDAC6 specifically induces apoptosis in B-cell lymphoma
To test the effects of HDAC6 inhibition on lymphoma B-cells ex vivo, purified lymphoma cells from Eµ-Myc mice were treated for 72 h with increasing amounts of M-100. Purified B-cells from wild-type mice were activated with 10 µg/ml LPS and served as control. B-cells from Eµ-Myc mice showed a strong induction of apoptosis already after treatment with 1 µM M-100 (Fig. 2A). Of note, activated B-cells from wild-type mice did not show an increased apoptosis rate (Fig. 2A). We also assessed the effect of M-100 on the cell cycle of lymphoma and activated wild-type B-cells. Murine lymphoma cell populations showed a significant increase of cells in the subG1 fraction, indicating apoptosis, and a reduction in G1/S-phases 72 h after M-100 treatment (Fig. 2B, C). However, non-malignant B-cells did not any show cell cycle alterations (Fig. 2B, C). Gene expression of Bbc3 and Pmaip1, encoding pro-apoptotic Puma and Noxa was increased in lymphoma but not wild-type B-cells after M-100 treatment (Fig. 2D). Conversely, transcription of Bcl2 was strongly decreased in lymphoma cells after HDAC6 inhibition (Fig. 2D), which underlines the apoptotic phenotype (Fig. 2A–C). M-100 also affected Myc protein levels in activated wild-type B-cells that was not caused by transcriptional changes (Fig. 2D, E). However, wild-type B-cells showed a strong upregulation of the anti-apoptotic factor Bcl-2 after M-100 treatment that was not present in Eµ-Myc cells, and which likely protected wild-type B-cells from apoptosis induction (Fig. 2E). To further examine the role of Bcl-2, we treated proliferating B-cells from wild-type mice with the highly specific BCL-2 inhibitor Venetoclax (Fig. 2F). Inhibition of Bcl-2 in combination with M-100 led to a strong apoptosis induction of activated B-cells, which indicates that upregulation of Bcl-2 mediated survival signals in healthy B-cells (Fig. 2F). We also checked the effects of M-100 on CH12F3 cells, a murine B-cell line harboring no MYC translocation [29]. In line with the findings from wild-type B-cells, no apoptosis or altered cell cycle was measured after M-100 treatment in CH12F3 cells (Fig. 2G). Taken together, M-100 exclusively induced apoptosis in murine lymphoma cells with elevated Myc levels as these cells failed to upregulate Bcl-2.
HDAC6 inhibition results in apoptosis of human B-cell lymphoma cells
We also assessed the response to M-100 in human B-cell lymphoma cell lines of the BL and DLBCL type characterized by MYC translocation or amplification [30,31,32,33,34,35], although the individual MYC mutation profile differed greatly in these cells [36, 37], (Table 1). We determined the efficacy of M-100 by MTT assay, and four out of five tested cell lines showed striking dose-responses to M-100 (Fig. 3A). The obtained IC50 values ranged between 2.07 µM and 5.25 µM. Raji cells, however, were less sensitive to M-100 (IC50 = 17.17 µM), although a moderate apoptosis induction was achieved at 4 µM (Fig. 3B). M-100 treatment resulted in the induction of apoptosis in all tested human BL and DLBCL cell lines as demonstrated by the accumulation of Annexin V+ cells (Fig. 3B). Consistent with our findings from murine lymphoma cells, we detected a significant increase of subG1 fractions 48 h post M-100 treatment (Fig. 3C), and a reduced entry into S-phase already 24 h post-treatment in human lymphoma cells (Supplemental Fig. 5A-C). Only BL-30 cells showed an unaltered cell cycle profile, which might be explained by the high mutation rate within the MYC gene (Fig. 3C, Table 1). To confirm apoptosis as the responsible cell death mechanism in Ramos cells, combinatorial treatment of M-100 and the caspase-specific inhibitor Z-VAD-FMK was performed (Supplemental Fig. 5D). The use of both Z-VAD-FMK and M-100 prevented PARP-1 and Caspase 3 cleavage and ultimately reduced the number of early apoptotic cells (Supplemental Fig. 5E). These results clearly show that cell death induction by M-100 is facilitated via the apoptotic pathway.
To exclude off-target effects of M-100, we compared different concentrations of M-100 to the pan-HDACi MS-275 that inhibits HDAC1, HDAC2, and HDAC3. H3 acetylation was induced at concentrations greater than 6 µM M-100 (Fig. 3D). Importantly, this limit is above most obtained IC50 values for M-100 in B-cell lymphoma cells, suggesting a specific effect of M-100 (Fig. 3A). Furthermore, M-100 had superior targeting properties compared to the HDAC6 inhibitor ACY-1215 as HDAC6 was efficiently inhibited by M-100 but HDACs that deacetylate histone H3 were not (Supplemental Fig. 6A). To further validate our findings, we generated Ramos HDAC6 knock-out (KO) cells using targeted CRISPR/Cas9 technology. HDAC6 KO cells were characterized by permanent hyperacetylation of tubulin (Fig. 3E). Importantly, KO of HDAC6 mimics to some extent the treatment with M-100 as Ramos HDAC6 KO cells showed reduced proliferation and increased apoptosis compared to WT cells (Fig. 3F, Supplemental Fig. 6B). As expected, Ramos HDAC6 KO cells were rather insensitive to M-100 treatment (IC50 = 9.47 µM) as measured with MTT assay and apoptosis detection by Annexin V/PI staining (Fig. 3G, Supplemental Fig. 6B). However, KO of HDAC6 barely altered the response of Ramos cells towards ACY-1215, revealing a very narrow window of specific targeting (Fig. 3G, Supplemental Fig. 6B). This underlines that M-100 has improved specificity for HDAC6 compared to ACY-1215 whose off-targets were recently described in detail [38].
HDAC6 inhibition causes MYC degradation
Human MYC-overexpressing lymphoma cells responded to M-100 treatment with a strong induction of apoptosis. To shed further light on the underlying cellular mechanism, we treated Ramos cells with different concentrations of M-100 for 6 h and 24 h. MYC protein levels were already reduced 6 h after treatment with 2 µM and 4 µM M-100 (Fig. 4A, Supplemental Fig. 7A). Consistent with our previous findings from murine lymphoma cells, we also detected PARP-1 cleavage 24 h after treatment with M-100 (Fig. 4A). On the contrary, BCL-2 levels decreased after HDAC6 inhibition although transcription of the BCL2 gene was elevated, assuming a possible feedback loop (Fig. 4A, Supplemental Fig. 7B, C). Expression of BIM, encoding a pro-apoptotic mediator, was significantly upregulated which was also present at the protein level (Supplementary Fig. 7B, C). As in murine lymphoma cells, the decrease of MYC was not due to transcriptional changes (Supplementary Fig. 7C). To determine if MYC degradation is regulated by ubiquitin-mediated proteolysis upon HDAC6 inhibition, we performed combinatorial treatments with M-100 and the proteasome inhibitor MG132 (Fig. 4B). MYC degradation was efficiently blocked when proteasomes were not functioning. The use of MG132 resulted in pronounced general accumulation of ubiquitinated proteins, in contrast to M-100 (Fig. 4C). In addition, immunoprecipitation (IP) of MYC after HDAC6 inhibition revealed ubiquitinated MYC protein bands at molecular weights of 85 kDa and 100 kDa (Fig. 4C). In fact, all tested BL and DLBCL cell lines showed a substantial decrease of MYC protein after 6 h treatment with M-100 (Fig. 4D), pointing towards a general mechanism of MYC degradation after HDAC6 inhibition. We also observed a slight increase in MYC turnover when HDAC6 was knocked out (Supplementary Fig. 8). These results indicate that HDAC6 inhibition by M-100 specifically provokes ubiquitination of MYC and subsequent proteasomal degradation.
MYC degradation is associated with changes in the interactome of hyperacetylated tubulin
To test whether the proteasomal degradation of MYC is mediated by a direct interaction, we performed IPs and were able to pull-down endogenous HDAC6/MYC complexes in Ramos cells (Fig. 5A). These complexes also appeared when the catalytic activity of HDAC6 was inhibited. However, HDAC6 is localized exclusively in the cytoplasm, whereas MYC is found predominantly in the nucleus (Fig. 5B). Thus, we analyzed the impact of MYC localization for its degradation. For this purpose, we transfected NIH-3T3 cells to express GFP-MYC and treated these cells with Importazole or Leptomycin B to block nuclear import or export, respectively (Fig. 5C). Afterward, cells were treated with cycloheximide (CHX) to induce cell-intrinsic degradation and levels of MYC-GFP were tracked via flow cytometry. Interestingly, the degradation of MYC-GFP was significantly accelerated in the cytoplasm but not in the nucleus (Fig. 5C).
We wanted to analyze the localization of MYC in response to HDAC6 inhibition by M-100. For this purpose, we treated Ramos cells that harbor very little cytoplasmic compartment with M-100 and used proximity ligation assay (PLA). We detected a close localization between MYC and acetylated tubulin under physiological conditions where a small amount of acetylated tubulin is present (Fig. 5D). However, PLA signals disappeared after M-100 treatment when tubulin was hyperacetylated (Fig. 5D). It had been previously described that MYC associates with tubulin [9] and our results indicate that this MYC-tubulin interaction is acetylation-dependent.
To further investigate the effect of hyperacetylated tubulin, a detailed interactome analysis of hyperacetylated tubulin was performed in MYC-dependent blood cancer cells via mass spectrometry. Bound proteins were identified and considered by either increased abundance (>2-fold) or new binding to tubulin after M-100 treatment compared to control (Supplementary Table 1). From 2309 identified proteins, treatment with M-100 led to enhanced binding of 357 proteins and new binding of 323 proteins to hyperacetylated tubulin (Fig. 5E). A functional annotation of the altered tubulin interactome after M-100 treatment using the DAVID tool confirmed significant changes in proteins related to acetylation, nucleotide-binding, protein transport, and ubiquitin conjugation (Fig. 5E). Overrepresented protein groups that attached to acetylated tubulin after M-100 treatment were HSPs from the chaperone type, including DNAJ proteins (Fig. 5F). For example, the chaperone member DNAJA3 occurred which is important for proteasomal degradation and was shown to interact with MYC in high-throughput studies [39]. Taken together, we demonstrate that MYC degradation is associated with changes in the interactome of heavily acetylated tubulin.
The chaperone DNAJA3 is recruited to acetylated tubulin and induces MYC degradation
We verified the highly increased binding of DNAJA3 to acetylated tubulin after M-100 treatment using IP techniques and overexpression of DNAJA3-Flag (Fig. 6A, Supplemental Fig. 9A). In addition, we demonstrated the endogenous presence of acetylated tubulin and DNAJA3 complexes in Ramos cells (Fig. 6B, Supplemental Fig. 9B). Of note, the chaperone DNAJA3 has large and small isoforms that are generated from the cleavage of precursor proteins [40, 41], which we could also detect in our experiments (Fig. 6A, B). We used PLA to uncover a close cellular localization of DNAJA3 with MYC in B-cell lymphoma cells (Fig. 6C). However, HDAC6 inhibition rapidly reduced the number of detected PLA foci per cell. These data suggest that tubulin acts as an interaction hub for MYC, HDAC6, and DNAJA3 in the cytoplasm, and switching the acetylation state of tubulin to hyperacetylation results in disappearance of MYC.
As DNAJ proteins are involved in ATP-dependent protein folding and degradation [42], we investigated potential effects of DNAJA3 on MYC stability. Surprisingly, both DNAJA3 isoforms were able to significantly decrease high MYC levels in overexpression studies in a dose-dependent manner (Fig. 6D). We retrospectively investigated the bone marrow of Eµ-Myc mice where MYC-overexpressing B-cells develop. When Eµ-Myc or wild-type mice were treated once with 30 mg/kg M-100, we were able to detect elevated levels of Dnaja3 (Fig. 6E, Supplementary Fig. 10). Increased levels of Dnaja3 after M-100 treatment might further explain the absence of lymphomagenesis in Eµ-Myc mice.
Taken together, our findings indicate that HDAC6 inhibition results in (1) a remodeling of the tubulin interactome driven by hyperacetylation, (2) recruitment of HSPs including DNAJA3 to acetylated tubulin, and (3) degradation of excessive MYC in MYC-overexpressing cells leading to apoptosis (Fig. 6F). Importantly, our results could be of beneficial use for the therapy of human MYC-dependent lymphoid malignancies.
Discussion
The role of HDAC6 inhibitors in cancer therapy is still a matter of debate. Recent studies showed that many cancer models are tolerant to HDAC6 inhibitor treatment [43,44,45]. However, a deeper look into the different tumor models considering newly emerging inhibitors might be helpful in developing new strategies for cancer treatment. Here, we demonstrated that MYC-dependent lymphomas are extremely sensitive to the highly specific HDAC6 inhibitor M-100.
In our work, we reveal that M-100 treatment of B-cell lymphoma cells induces proteasomal degradation of MYC. Besides, we prove that MYC forms a complex with the HSP DNAJA3, and hyperacetylation of tubulin strongly recruits DNAJA3. Studies showed that DNAJA3 associates directly with the E3 ligases HUWE1 and von Hippel-Lindau tumor suppressor [46]. HUWE1 is a major E3 ligase for MYC [47], which would connect DNAJA3 to the turnover of MYC. Besides, DNAJA3 was shown to mediate ubiquitination and degradation of oncogenic epidermal growth factor receptor [40]. Previous strategies to inhibit HDAC6 using ACY-1215 in B-cell lymphoma resulted in an activation of the unfolded protein response by increasing quantity and acetylation of HSPs [18]. Similarly, we observed increased levels of the HSP DNAJA3 in the bone marrow of mice treated with M-100. In addition, our interactome analysis suggests that HDAC6 inhibition leads to the recruitment of several chaperones to acetylated tubulin, which might involve other HSPs in the observed MYC instability as well.
The turn-over of MYC is depending on two opposing phosphorylation events of MYC at T58 and S62 which determines protein stability as a phosphodegron [48, 49]. Our data show that Raji cells, which are mutated at T58, were the least sensitive to M-100. Thus, efficient MYC degradation after HDAC6 inhibition might require wild-type T58 in MYC. Interestingly, phosphorylation of MYC impeded its interaction with tubulin, resulting in increased MYC stability in BL [48]. Conversely, our data indicate that the association of MYC with acetylated tubulin decreases MYC stability. Moreover, our interactome data suggest that hyperacetylation of tubulin leads to recruitment of proteins related to the functional annotation terms “Phosphoprotein”, “Nucleotide-binding”, and “Ubiquitin-like conjugation” which may influence the phosphodegron of MYC. It is likely that microtubule acetylation prolongs cytoplasmic retention of MYC making it accessible for proteasomal degradation after interaction with HSPs, such as DNAJA3.
We did not discover direct effects of M-100 on the transcription of the gene encoding MYC neither in murine nor in human cells. This observation is in contrast to the effects of the pan-HDACi MS-275 in hematologic malignancies, which impaired transcription of the MYC gene itself [13]. It was underlined by several studies that M-100 treatment does not result in altered histone acetylation [22, 50, 51].
The occupation of MYC on distinct sets of target genes was described to depend on the amount of MYC molecules [5], which might explain the adverse Bcl-2 response of murine healthy and MYC-transformed B-cells to M-100 in our experiments. Eµ-Myc lymphoma cells treated with M-100 de-repressed Bbc3 as well as Pmaip1 and repressed Bcl2 expression. Importantly, direct transcriptional regulation of Bbc3 and Pmaip1 by MYC was shown to be possible [52, 53], and deficiency of Bbc3 and Pmaip1 accelerated lymphomagenesis in Eµ-Myc mice [54]. Thus, permanent upregulation of Bbc3 and Pmaip1 caused by HDAC6 inhibition might be another explanation for the extended survival of Eµ-Myc mice upon M-100 treatment.
Taken together, M-100 has potent anti-tumoral activity by targeting the stability of MYC. A fully water-soluble derivative of M-100 exists, which extends possible in vivo use [23]. However, drug resistance to HDAC6 inhibitors was described [55], and future directions should aim for rational drug combinations to treat distinct malignancies.
Materials and methods
Please refer to supplementary information for standard biochemical or molecular techniques.
In vivo animal studies
Female and male C57BL/6JRj and Tg(IghMyc)22Bri (“Eµ-Myc”) mice with C57BL/6JRj background were housed in individually ventilated cages in groups under specific-pathogen-free conditions in the Experimental Biomedicine Unit at the University of Jena, Germany. Mice were bred according to registration number 02-053/16, and all experimental procedures were approved by the federal Thuringian “Landesamt für Verbraucherschutz” under registration number 02-030/15. All legal specifications were followed regarding European guideline 2010/63/EU. Mice were randomly assigned to different treatment groups and sacrificed by cervical dislocation or CO2 inhalation. For intraperitoneal injections, M-100 was solved in 7.5% N-methyl-2-pyrrolidone (Carl Roth, Karlsruhe, Germany, Cat#P052) and 40% PEG-400 (Carl-Roth, Cat#0144) in sterile water.
Cell lines and primary cultures
All cell lines were maintained in incubators at 37 °C and 5% CO2. 293T and NIH-3T3 cells were grown in DMEM with 10% FCS (Sigma-Aldrich, St. Louis, MO, United States, Cat#F7524). Ramos, Raji, and MV4-11 cells were grown in RPMI 1640 with 10% FCS. BL-30 cells were grown in RPMI 1640 with 20% FCS. OCI-Ly3, SUDHL-6, and CH12F3 cells were grown in RPMI 1640, supplemented with 10% FCS, 50 µM β-mercaptoethanol, 10 mM HEPES. CH12F3 cells were activated by stimulation with 1 µg/ml CD40L (Thermo Fisher Scientific, Waltham, MA, United States, Cat#16-0402-81, RRID:AB_468944), 5 ng/ml IL-4 (Thermo Fisher Scientific, Cat#14-8041-62) and 1 ng/ml TGF-β1 (Cell Signaling Technology, Danvers, MA, United States, Cat#8915). All cell lines were tested regularly for Mycoplasma infection. Isolation of primary B-cells was performed as previously described [56]. Primary B-cells were grown in RPMI 1640 with 10% FCS, 50 µM β-mercaptoethanol, 10 mM HEPES and 0.5% gentamicin. Activation of primary B-cells was induced by the addition of 10 µg/ml LPS (from E. coli, O111:B4, Sigma-Aldrich, Cat#L4391). Ramos cells were authenticated by Eurofins Genomics (Ebersberg, Germany) using PCR-single-locus-technology with 21 independent PCR-systems. M-100 was dissolved to a 10 mM stock solution with DMSO and diluted to a concentration of 100 µM with PBS. M-100 is registered under patent number WO2016020369 A1. Venetoclax (Selleck Chemicals, Houston, TX, United States) was solved in DMSO.
Flow cytometry
All measurements were performed using a LSR Fortessa system (BD Biosciences, Franklin Lakes, NJ, United States), and data were acquired with BD FACSDIVA V8.0.1 (BD Biosciences). Immune cell phenotyping was performed by staining single-cell suspensions in PBS with respective antibodies. For apoptosis detection, an Annexin V-FITC Apoptosis Detection Kit (Thermo Fisher Scientific, RRID:AB_2575600) was used. Cell cycle analysis was performed with fixed cells by propidium iodide (PI) incorporation. Flow cytometry data were analyzed with FlowLogic 700.2A (Inivai Technologies, Mentone, Australia).
Immunoprecipitation
Protein levels were determined using the Roti-Nanoquant solution (Carl Roth GmbH, Cat#K880). For IPs, lysates containing 250 µg (overexpressed) or 1000 µg (endogenous) protein were combined with a mixture of 50% (v/v) protein A and 50% (v/v) protein G beads (Sigma-Aldrich Inc., Cat#P9424 and Cat#P3296) and 0.5-1 µg antibody in lysis buffer overnight at 4 °C. Following control antibodies were used: Mouse IgG control (Santa Cruz Biotechnology, Dallas, TX, United States, Cat#sc-2025, RRID:AB_737182), Rabbit IgG control (Santa Cruz Biotechnology, Cat#sc-2027, RRID:AB_737197). Beads were washed three times in lysis buffer after incubation, resuspended in 2x Laemmli buffer to a final 1x concentration, and boiled for 5 min at 95 °C.
Proximity ligation assay
PLA was performed using Duolink In Situ PLA Reagents Red (Sigma-Aldrich, Cat#DUO92008) according to the manufacturer’s protocol. Ramos cells were attached to coverslips with 0.1% poly-L-lysine (Sigma-Aldrich, Cat#P8920) for 1 h at RT. Cells were permeabilized, fixed with methanol for 10 min at −20 °C, blocked with Duolink blocking solution, and incubated with primary antibodies. PLA Probe Anti-Mouse MINUS (Sigma-Aldrich) and PLA Probe Anti-Rabbit PLUS (Sigma-Aldrich) were used as secondary probes. Samples were mounted with DAPI. PLA signals were detected using a Nikon Ti Microscope (λex = 594 nm; λem = 624 nm). Images were taken with a Nikon DS-Qi2 camera. PLA foci were counted automatically with ImageJ [57] after threshold adjustment using function “analyze particles”.
Proteomics
Immunoprecipitated proteins were eluted by the addition of NuPAGE LDS sample buffer (Thermo Fisher Scientific) supplemented with 1 mM DTT. The samples were heated at 70 °C for 10 min, alkylated with 5.5 mM chloroacetamide for 30 min in the dark, and loaded on NuPAGE 4-12% gradient Bis-Tris gels (Thermo Fisher Scientific). Proteins were stained with Colloidal Blue and digested in-gel using trypsin. Peptides were extracted from the gel and desalted on reversed-phase C18 StageTips. Peptide fractions were analyzed on a quadrupole Orbitrap mass spectrometer (Q Exactive Plus, Thermo Fisher Scientific) equipped with a UHPLC system (EASY-nLC 1000, Thermo Fisher Scientific). Raw data files were analyzed using MaxQuant version 1.5.2.8 [58]. Parent ion and MS2 spectra were searched against a UniProtKB database using the Andromeda search engine [59]. Spectra were searched with a mass tolerance of 6 ppm in MS mode, 20 ppm in HCD MS2 mode, strict trypsin specificity, and allowing up to three miscleavages. Cysteine carbamidomethylation was searched as a fixed modification, whereas protein N-terminal acetylation and methionine oxidation were searched as variable modifications. Functional annotation clustering was performed with the DAVID tool [60].
References
Basso K, Dalla-Favera R. Germinal centres and B cell lymphomagenesis. Nat Rev Immunol. 2015;15:172–84.
Swerdlow SH, Campo E, Pileri SA, Lee Harris N, Stein H, Siebert R, et al. The 2016 revision of the World Health Organization classification of lymphoid neoplasms. Blood 2016;127:2375–90.
Gupta M, Maurer MJ, Wellik LE, Law ME, Han JJ, Ozsan N, et al. Expression of Myc, but not pSTAT3, is an adverse prognostic factor for diffuse large B-cell lymphoma treated with epratuzumab/R-CHOP. Blood 2012;120:4400–6.
Aukema SM, Kreuz M, Kohler CW, Rosolowski M, Hasenclever D, Hummel M, et al. Biological characterization of adult MYC-translocation-positive mature B-cell lymphomas other than molecular Burkitt lymphoma. Haematologica 2014;99:726–35.
Lorenzin F, Benary U, Baluapuri A, Walz S, Jung LA, von Eyss B, et al. Different promoter affinities account for specificity in MYC-dependent gene regulation. Elife 2016;5:1–35.
Sabò A, Kress TR, Pelizzola M, De Pretis S, Gorski MM, Tesi A, et al. Selective transcriptional regulation by Myc in cellular growth control and lymphomagenesis. Nature 2014;511:488–92.
Koh CM, Bezzi M, Low DHP, Ang WX, Teo SX, Gay FPH, et al. MYC regulates the core pre-mRNA splicing machinery as an essential step in lymphomagenesis. Nature 2015;523:96–100.
Poole CJ, van Riggelen J. MYC-master regulator of the cancer epigenome and transcriptome. Genes. 2017;8:142.
Alexandrova N, Niklinski J, Bliskovsky V, Otterson GA, Blake M, Kaye FJ, et al. The N-terminal domain of c-Myc associates with alpha-tubulin and microtubules in vivo and in vitro. Mol Cell Biol. 1995;15:5188–95.
Salghetti SE, Kim SY, Tansey WP. Destruction of Myc by ubiquitin-mediated proteolysis: Cancer-associated and transforming mutations stabilize Myc. EMBO J. 1999;18:717–26.
Ross J, Miron CE, Plescia J, Laplante P, McBride K, Moitessier N, et al. Targeting MYC: From understanding its biology to drug discovery. Eur J Med Chem. 2021;213:113137.
Stubbs MC, Kim W, Bariteau M, Davis T, Vempati S, Minehart J, et al. Selective inhibition of HDAC1 and HDAC2 as a potential therapeutic option for B-ALL. Clin Cancer Res. 2015;21:2348–58.
Nebbioso A, Carafa V, Conte M, Tambaro FP, Ciro A, Martens J, et al. C-Myc modulation and acetylation is a key HDAC inhibitor target in cancer. Clin Cancer Res. 2017;23:2542–55.
Shin DY, Kim A, Kang HJ, Park S, Kim DW, Lee SS. Histone deacetylase inhibitor romidepsin induces efficient tumor cell lysis via selective down-regulation of LMP1 and c-myc expression in EBV-positive diffuse large B-cell lymphoma. Cancer Lett. 2015;364:89–97.
New M, Olzscha H, La Thangue NB. HDAC inhibitor-based therapies: Can we interpret the code? Mol Oncol. 2012;6:637–56.
Bereshchenko OR, Gu W, Dalla-Favera R. Acetylation inactivates the transcriptional repressor BCL6. Nat Genet. 2002;32:606–13.
Fernández-Serrano M, Winkler R, Santos JC, Le Pannérer MM, Buschbeck M, Roué G. Histone modifications and their targeting in lymphoid malignancies. Int J Mol Sci. 2022;23:253.
Amengual JE, Johannet P, Lombardo M, Zullo K, Hoehn D, Bhagat G, et al. Dual targeting of protein degradation pathways with the selective HDAC6 inhibitor ACY-1215 and bortezomib is synergistic in lymphoma. Clin Cancer Res. 2015;21:4663–75.
Amengual JE, Lue JK, Ma H, Lichtenstein R, Shah B, Cremers S, et al. First-in-class selective HDAC6 Inhibitor (ACY-1215) has a highly favorable safety profile in patients with relapsed and refractory lymphoma. Oncologist 2021;26:184–e366.
Miyake Y, Keusch JJ, Wang L, Saito M, Hess D, Wang X, et al. Structural insights into HDAC6 tubulin deacetylation and its selective inhibition. Nat Chem Biol. 2016;12:748–54.
Hubbert C, Guardiola A, Shao R, Kawaguchi Y, Ito A, Nixon A, et al. HDAC6 is a microtubule-associated deacetylase. Nature 2002;417:455–8.
Sellmer A, Stangl H, Beyer M, Grünstein E, Leonhardt M, Pongratz H, et al. Marbostat-100 defines a new class of potent and selective antiinflammatory and antirheumatic histone deacetylase 6 inhibitors. J Med Chem. 2018;61:3454–77.
Leonhardt M, Sellmer A, Krämer OH, Dove S, Elz S, Kraus B, et al. Design and biological evaluation of tetrahydro-β-carboline derivatives as highly potent histone deacetylase 6 (HDAC6) inhibitors. Eur J Med Chem. 2018;152:329–57.
Rempel RE, Jiang X, Fullerton P, Tan TZ, Ye J, Lau JA, et al. Utilization of the Eμ-Myc mouse to model heterogeneity of therapeutic response. Mol Cancer Ther. 2014;13:3219–29.
Ross J, Rashkovan M, Fraszczak J, Joly-Beauparlant C, Vadnais C, Winkler R, et al. Deletion of the MIZ-1 POZ domain increases efficacy of cytarabine treatment in T- And B-ALL/lymphoma mouse models. Cancer Res. 2019;79:4184–95.
Schuster C, Berger A, Hoelzl MA, Putz EM, Frenzel A, Simma O, et al. The cooperating mutation or “second hit” determines the immunologic visibility toward MYC-induced murine lymphomas. Blood 2011;118:4635–45.
Joshi G, Eberhardt AO, Lange L, Winkler R, Hoffmann S, Kosan C, et al. Dichotomous impact of MYC on rRNA gene activation and silencing in b cell lymphomagenesis. Cancers 2020;12:1–13.
Croxford JL, Li M, Tang F, Pan MF, Huang CW, Kamran N, et al. ATM-dependent spontaneous regression of early E m - myc – induced murine B-cell leukemia depends on natural killer and T cells. Blood 2013;121:2512–21.
Nakamura M, Kondo S, Sugai M, Nazarea M, Imamura S, Honjo T. High-frequency class switching of an IgM+ B lymphoma clone CH12F3 to IgA+ cells. Int Immunol. 1996;8:193–201.
Karpova MB, Schoumans J, Ernberg J, Henter JI, Nordenskjöld M, Fadeel B. Raji revisited: Cytogenetics of the original Burkitt’s lymphoma cell line [12]. Leukemia 2005;19:159–61.
Kleo K, Dimitrova L, Oker E, Tomaszewski N, Berg E, Taruttis F, et al. Identification of ADGRE5 as discriminating MYC target between Burkitt lymphoma and diffuse large B-cell lymphoma. BMC Cancer. 2019;19:1–11.
Deng W, Clipson A, Liu H, Huang Y, Dobson R, Wang M, et al. Variable responses of MYC translocation positive lymphoma cell lines to different combinations of novel agents: impact of BCL2 family protein expression. Transl Oncol. 2018;11:1147–54.
Bemark M, Neuberger MS. The c-MYC allele that is translocated into the IgH locus undergoes constitutive hypermutation in a Burkitt’s lymphoma line. Oncogene 2000;19:3404–10.
Philip I, Philip T, Favrot M, Vuillaume M, Fontaniere B, Chamard D, et al. Establishment of lymphomatous cell lines from bone marrow samples from patients with burkitt’s lymphoma. J Natl Cancer Inst. 1984;73:835–40.
Trabucco SE, Gerstein RM, Evens AM, Bradner JE, Shultz LD, Greiner DL, et al. Inhibition of bromodomain proteins for the treatment of human diffuse large B-cell lymphoma. Clin Cancer Res. 2015;21:113–22.
Barretina J, Caponigro G, Stransky N, Venkatesan K, Margolin AA, Kim S, et al. The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity. Nature 2012;483:603–7.
Tate JG, Bamford S, Jubb HC, Sondka Z, Beare DM, Bindal N, et al. COSMIC: the catalogue of somatic mutations in cancer. Nucleic Acids Res. 2019;47:D941–7.
Lechner S, Malgapo MIP, Grätz C, Steimbach RR, Baron A, Rüther P, et al. Target deconvolution of HDAC pharmacopoeia reveals MBLAC2 as common off-target. Nat Chem Biol. 2022.
Heidelberger JB, Voigt A, Borisova ME, Petrosino G, Ruf S, Wagner SA, et al. Proteomic profiling of VCP substrates links VCP to K6‐linked ubiquitylation and c‐Myc function. EMBO Rep. 2018;19:1–20.
Chen CY, Jan CI, Lo JF, Yang SC, Chang YL, Pan SH, et al. Tid1-L inhibits EGFR signaling in lung adenocarcinoma by enhancing EGFR ubiquitinylation and degradation. Cancer Res. 2013;73:4009–19.
Lu B, Garrido N, Spelbrink JN, Suzuki CK. Tid1 isoforms are mitochondrial DnaJ-like chaperones with unique carboxyl termini that determine cytosolic fate. J Biol Chem. 2006;281:13150–8.
Sterrenberg JN, Blatch GL, Edkins AL. Human DNAJ in cancer and stem cells. Cancer Lett. 2011;312:129–42.
Depetter Y, Geurs S, De Vreese R, Goethals S, Vandoorn E, Laevens A, et al. Selective pharmacological inhibitors of HDAC6 reveal biochemical activity but functional tolerance in cancer models. Int J Cancer. 2019;145:735–47.
Wachholz V, Mustafa AHM, Zeyn Y, Henninger SJ, Beyer M, Dzulko M, et al. Inhibitors of class I HDACs and of FLT3 combine synergistically against leukemia cells with mutant FLT3. Arch Toxicol. 2022;96:177–93.
Beyer M, Romanski A, Mustafa AHM, Pons M, Büchler I, Vogel A, et al. Hdac3 activity is essential for human leukemic cell growth and the expression of catenin, myc, and wt1. Cancers 2019;11:1–20.
Thompson JW, Nagel J, Hoving S, Gerrits B, Bauer A, Thomas JR, et al. Quantitative Lys-∈-Gly-Gly (diGly) proteomics coupled with inducible RNAi reveals ubiquitin-mediated proteolysis of DNA damage-inducible transcript 4 (DDIT4) by the E3 Ligase HUWE1. J Biol Chem. 2014;289:28942–55.
Inoue S, Hao Z, Elia AJ, Cescon D, Zhou L, Silvester J, et al. Mule/Huwe1/Arf-BP1 suppresses Ras-driven tumorigenesis by preventing c-Myc/Miz1-mediated down-regulation of p21 and p15. Genes Dev. 2013;27:1101–14.
Niklinski J, Claassen G, Meyers C, Gregory MA, Allegra CJ, Kaye FJ, et al. Disruption of Myc-tubulin interaction by hyperphosphorylation of c-Myc during mitosis or by constitutive hyperphosphorylation of mutant c-Myc in Burkitt’s lymphoma. Mol Cell Biol. 2000;20:5276–84.
Popov N, Schülein C, Jaenicke LA, Eilers M. Ubiquitylation of the amino terminus of Myc by SCFβ-TrCP antagonizes SCFFbw7-mediated turnover. Nat Cell Biol. 2010;12:973–81.
Schäfer C, Göder A, Beyer M, Kiweler N, Mahendrarajah N, Rauch A, et al. Class I histone deacetylases regulate p53/NF-κB crosstalk in cancer cells. Cell Signal. 2017;29:218–25.
Stojanovic N, Hassan Z, Wirth M, Wenzel P, Beyer M, Schäfer C, et al. HDAC1 and HDAC2 integrate the expression of p53 mutants in pancreatic cancer. Oncogene 2017;36:1804–15.
Wirth M, Stojanovic N, Christian J, Paul MC, Stauber RH, Schmid RM, et al. MYC and EGR1 synergize to trigger tumor cell death by controlling NOXA and BIM transcription upon treatment with the proteasome inhibitor bortezomib. Nucleic Acids Res. 2014;42:10433–47.
Maclean KH, Keller UB, Rodriguez-Galindo C, Nilsson JA, Cleveland JL. c-Myc augments gamma irradiation-induced apoptosis by suppressing Bcl-X L. Mol Cell Biol. 2003;23:7256–70.
Michalak EM, Jansen ES, Happo L, Cragg MS, Tai L, Smyth GK, et al. Puma and to a lesser extent Noxa are suppressors of Myc-induced lymphomagenesis. Cell Death Differ. 2009;16:684–96.
Amengual JE, Prabhu SA, Lombardo M, Zullo K, Johannet PM, Gonzalez Y, et al. Mechanisms of acquired drug resistance to the HDAC6 selective inhibitor ricolinostat reveals rational drug-drug combination with ibrutinib. Clin Cancer Res. 2017;23:3084–96.
Winkler R, Kosan C. Effects of HDACi on immunological functions. Methods Mol Biol. 2017;1510:93–101.
Schneider CA, Rasband WS, Eliceiri KW. NIH Image to ImageJ: 25 years of image analysis. Nat Methods. 2012;9:671–5.
Cox J, Mann M. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies, and proteome-wide protein quantification. Nat Biotechnol. 2008;26:1367–72.
Cox J, Neuhauser N, Michalski A, Scheltema RA, Olsen JV, Mann M. Andromeda: A peptide search engine integrated into the MaxQuant environment. J Proteome Res. 2011;10:1794–805.
Huang DW, Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc. 2009;4:44–57.
Acknowledgements
We thank Carmen Mertens for technical assistance as well as Dr. Karl-Gunther Glowalla, Petra Grübner, and Andreas Köber for animal care. We are grateful to Katrin Schubert for assistance with cell sorting (FLI Jena) and Dr. David Corujo for bioinformatic support. We also want to thank Dr. Marcus Buschbeck and Dr. Jeannine Diesch for giving feedback on the manuscript. Prof. Dr. Ralf Küppers kindly provided lymphoma cell lines. Venetoclax was a kind gift from Prof. Dr. Sebastian Scholl and Dr. Maximilian Fleischmann.
Funding
RW was supported by a scholarship from the Carl Zeiss Foundation. CK received funding from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), GRK 1715. E-MP was supported by a Landesgraduiertenstipendium (Friedrich Schiller University Jena). Work done in the group of OHK was done by MB and is funded by DFG, Project-ID 393547839–SFB 1361 and DFG, GRK 2291/9-1, project number 427404172. Open Access funding enabled and organized by Projekt DEAL.
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Conception and design, CK; Development of methodology, RW, A-SM, MB, MEH, SP, and FH; Acquisition of data, RW, A-SM, E-MP, MK, MB, KL, LH, A-MS, MEH, SP, and FH; Analysis and interpretation of data, RW, A-SM, E-MP, MEH, and CK; Writing, review, and/or revision of the manuscript, RW, A-SM, and CK; Administrative, technical, or material support, OHK, PB, and SM; Study supervision, PB, TM, OHK, and CK.
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Winkler, R., Mägdefrau, AS., Piskor, EM. et al. Targeting the MYC interaction network in B-cell lymphoma via histone deacetylase 6 inhibition. Oncogene 41, 4560–4572 (2022). https://doi.org/10.1038/s41388-022-02450-3
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DOI: https://doi.org/10.1038/s41388-022-02450-3
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