Abstract
Deferiprone (DFP) is a hydroxypyridinone-derived iron chelator currently in clinical use for iron chelation therapy. DFP has also been known to elicit antiproliferative activities, yet the mechanism of this effect has remained elusive. We herein report that DFP chelates the Fe2+ ion at the active sites of selected iron-dependent histone lysine demethylases (KDMs), resulting in pan inhibition of a subfamily of KDMs. Specifically, DFP inhibits the demethylase activities of six KDMs - 2A, 2B, 5C, 6A, 7A and 7B - with low micromolar IC50s while considerably less active or inactive against eleven KDMs - 1A, 3A, 3B, 4A-E, 5A, 5B and 6B. The KDM that is most sensitive to DFP, KDM6A, has an IC50 that is between 7- and 70-fold lower than the iron binding equivalence concentrations at which DFP inhibits ribonucleotide reductase (RNR) activities and/or reduces the labile intracellular zinc ion pool. In breast cancer cell lines, DFP potently inhibits the demethylation of H3K4me3 and H3K27me3, two chromatin posttranslational marks that are subject to removal by several KDM subfamilies which are inhibited by DFP in cell-free assay. These data strongly suggest that DFP derives its anti-proliferative activity largely from the inhibition of a sub-set of KDMs. The docked poses adopted by DFP at the KDM active sites enabled identification of new DFP-based KDM inhibitors which are more cytotoxic to cancer cell lines. We also found that a cohort of these agents inhibited HP1-mediated gene silencing and one lead compound potently inhibited breast tumor growth in murine xenograft models. Overall, this study identified a new chemical scaffold capable of inhibiting KDM enzymes, globally changing histone modification profiles, and with specific anti-tumor activities.
Introduction
Deferiprone (DFP) is a bidentate iron chelator approved for the treatment of iron-overloaded patients with thalassemia1,2. DFP is a type of hydroxypyridinone (Fig. 1) which preferentially binds free iron in ferric state (Fe3+) in a 3:1 ratio. Unlike desferrioxamine (DFO), the first line agent for the treatment of transfusional iron overload, DFP is orally active. The concomitant effect of iron chelation by DFP is the reversal of oxidative stress related tissue damage in iron overload1. DFP and other iron chelators were further shown to elicit antiproliferative activity against various tumor cell lines and lymphocytes3–7.
On the account that high levels of iron are essential for tumor cell growth, the antiproliferative effect of DFP has been largely attributed to its iron chelation activity which results in the depletion of free intracellular iron and removal of iron from the active sites of key iron-dependent enzymes. Specifically, it has been shown that DFP could remove iron from mammalian ribonucleotide reductase (RNR) in leukemia K562 cells8,9, leading to the inactivation of RNR, inhibition of DNA synthesis, cell cycle arrest and cell growth inhibition3,4,8. However, DFP is not an iron-specific chelator. Like other hydroxypyridinone, DFP also binds biological divalent metal ions Cu2+ and Zn2+ with high affinity and other metal ions such as Ca2+, Mg2+, Na+, and K+ with low affinity10–13. In fact, depletion of intracellular Zn2+ pool has been suggested to be a major contributing factor to the DFP-induced apoptosis in thymocyte and other proliferating T lymphocytes6,14. The small flat aromatic structure of DFP could fit into active sites of several intracellular metalloenzymes and the inhibition of these metalloenzymes could in principle contribute to the anti-proliferative activity of DFP. Therefore, DFP could derive its cell growth inhibition from convergence of several mechanisms the details of which are poorly understood.
Using a fragment-based molecular docking approach, we have interrogated in previous studies the interaction of a small library of bidentate zinc/iron chelators derived from hydroxypyridinones with a subset of histone deacetylase (HDAC) isoforms. We identified 3-hydroxypyridin-2-thione as a zinc binding group that chelates Zn2+ ion at the active site of HDAC6 and HDAC8, resulting in robust inhibition of the activities of these HDAC isoforms15,16. HDACs are a class of zinc-dependent epigenetic modifiers17. For those HDAC isoforms that have been subject to structural characterization, the architecture of the enzymes’ active sites is nearly identical, consisting of Zn2+ ion bound to the base of the active site pocket that is in turn exposed to the enzyme surface through a short channel lined with hydrophobic residues. Another class of epigenetic modifiers whose active sites architecture resemble HDACs’ is 2-oxoglutarate- and Fe2+-dependent histone lysine demethylases (KDMs) that remove specific histone methylation posttranslational marks18–22. In this study, we adopted a similar molecular docking analysis from our previous studies to evaluate the possibility that a library of hydroxypyridinone-derived bidentate zinc/iron chelators, including DFP, interacts with representative KDMs. We observed that DFP chelates the active site Fe2+ ion. A subsequent cell-free assay revealed that DFP possesses pan-selective inhibition activity against a subfamily of KDMs. Specifically, DFP inhibits the demethylase activities of six KDMs - 2A, 2B, 5C, 6A, 7A and 7B - at low micromolar IC50s. DFP is considerably less active or inactive against eleven KDMs - 1A, 3A, 3B, 4A-E, 5A, 5B and 6B. The KDM that is most sensitive to DFP, KDM6A, has an IC50 that is between 7- and 70-fold lower than the iron binding equivalence concentrations at which DFP inhibits RNR activities and/or reduces labile intracellular zinc ion pool8,9,14. Moreover, in MCF-7 and MDA-MB-231 cells, DFP reduces levels of H3K4me3 and H3K27me3, indicating potential action as a KDM inhibitor. These two chromatin posttranslational marks are subject to demethylation by several KDM subfamilies which are inhibited by DFP in our cell-free assay.
Encouraged by the foregoing data, we conducted a comprehensive structure activity relationship study on DFP. This study furnished several novel DFP-based KDM inhibitors which alter the velocity of HP1-mediated heterochromatin gene repression. Additionally, these compounds displayed tumor-selective cytotoxicity against the breast cancer (BCa) cell lines tested, with potency enhancement as high as 65-fold relative to DFP. These compounds are preferentially more cytotoxic to the triple negative breast cancer (TNBC) cell line MDA-MB-231 and a representative compound significantly reduce tumor growth in xenograft mouse models of ER(+) (T47D) and ER(−) (MDA-MB-231) BCas. Collectively, we disclose herein that clinically approved DFP derives its anti-proliferative activity largely from the inhibition of a sub-set of KDMs. Excitingly, our findings demonstrate that DFP can serve as a novel template for the discovery of tumor-selective KDM inhibitors.
Results
DFP binds to Fe2+ ion at the active site of KDM6A
We used molecular docking to interrogate the interaction of DFP with KDM6A, a representative KDM which regulates gene expression programs associated with BCa proliferation and invasion23,24. This docking analysis built on our previous studies where we used the molecular docking program AutoDock 4.225 to successfully identify from this library 3-hydroxypyridin-2-thione as a non-hydroxamate zinc binding group that is compatible with HDAC inhibition15,16. Analyses of the molecular docking outputs revealed that DFP adopts docked poses in which it strongly chelates Fe2+ at the active site of KDM6A. In addition to iron chelation, the interaction is further stabilized by H-bonding between the oxygen moieties of DFP and two key residues within the enzymes active sites: phenolic group of Tyr 1135 and OH group of Ser 1154. The N-1 position of the DFP is oriented toward the exit channel of the active site (Fig. 2A), an orientation that should permit modifications which may enhance KDM binding affinity. Subsequent molecular dockings with KDMs 2A, 7A, and 7B revealed that DFP adopted docked poses and maintained similar interaction as the ones in KDM6A (Fig. 2B–D) while devoid of interaction with KDM5A (Fig. S1) and Flavin-dependent KDM1A.
DFP inhibits a sub-set of KDMs in in vitro assay
To test the validity of our in silico predictions, we first investigated the effects of DFP on activities of KDM1A and KDM6A at two concentrations − 0.5 and 10 μM. We observed that DFP showed a concentration dependent inhibition of KDM6A, resulting in >95% reduction in the enzyme activity at 10 μM. In contrast, DFP has no effect on the activity of KDM1A at both concentrations (Fig. 3). Subsequently, we determined the effects of DFP on the enzymatic activities of seventeen recombinant human KDMs using a cell-free enzymatic assay. We observed that DFP inhibits the demethylase activities of six KDMs - 2A, 2B, 5C, 6A, 7A and 7B - at low micromolar IC50s while considerably less active or inactive against eleven KDMs - 1A, 3A, 3B, 4A-E, 5A, 5B and 6B (Table 1, Fig. S2).
Table 1.
KDMs | IC50 (μM) |
---|---|
KDM1A (LSD1) | NIa |
KDM2A (FBXL10) | 6.8 |
KDM2B (FBXL11) | 8.1 |
KDM3A (JMJD1A) | NIb |
KDM3B (JMJD1B) | NIb |
KDM4A (JMJD2A) | NIa |
KDM4B (JMJD2B) | NIb |
KDM4C (JMJD2C) | NIb |
KDM4D (JMJD2D) | NIb |
KDM4E (JMJD2E) | NIb |
KDM5A (Jarid1A) | NIb |
KDM5B (Jarid1B) | NIb |
KDM5C (Jarid1C) | 5.6 |
KDM6A (UTX) | 4.2 |
KDM6B (JMJD3) | NIb |
KDM7A (JHDM1D) | 16.6 |
KDM7B (PHF8) | 15.6 |
aNo inhibition at maximum tested concentration of 25 μM.
bLess than 50% inhibition at maximum tested concentration of 25 μM.
DFP potently inhibits H3K27me3 demethylation in MCF-7 and MDA-MB-231 cells
To confirm if the KDM inhibition activities displayed by DFP in the cell-free assay translated to intracellular effects, we performed Western blot analyses on cell lysates from MCF-7 and MDA-MB-231 cells treated with various concentration of DFP. We probed for the levels of H3K4me3 and H3K27me3, two chromatin posttranslational marks that are subject to demethylation by several KDM subfamilies, including KDM 2B26, 5C27 and 6A28 which are inhibited by DFP in our cell-free assay. We observed that DFP induced a dose-dependent upregulation of H3K4me3 and H3K27me3 levels in these cells (Fig. 4). This observation strongly suggests that DFP potently inhibits H3K4me3 and H3K27me3 demethylation intracellularly.
Structure Activity Relationship (SAR) Studies
Our docking analysis revealed that the N-1 moiety of DFP is presented toward an exit channel, away from the active sites of several KDMs (Fig. 2). To explore if interaction within this channel will result in enhancement of potency, we designed three distinct structural classes of DFP analogs (Classes I (unsubstituted aryl 1a–f), II (substituted aryl 2a–w) and III (bisDFP 3a–g), building from the N-1 position. Molecular docking analysis revealed that representatives of these compounds optimally occupied the channel while maintaining Fe2+ chelation (Fig. 5). The syntheses of compounds 1–3 were accomplished as shown in Figs 6–8. Compounds 9a–f, the azido precursors of 1 and 2 were synthesized from benzyl-protected maltol 7 and appropriate azido amines 4a–f through the intermediacy of 8a–f (Fig. 6). Subsequently, CuI mediated Huigsen cyclization between 9a–f and appropriate aryl alkynes furnished compounds 1a–f and 2a–w low to good yields (Figs 6 and 7). BisDFP compounds 3a–g were synthesized in two steps starting from benzyl-protected maltol 7 and diamino compounds 19–25 (Fig. 8). A suspension of 7, an appropriate diamino compound and sodium hydroxide in methanol-H2O (2:1) was heated at 105 °C for 72 h in a sealed tube. The protected bisDFP compounds 12–18 were treated with concentrated HCl solution for 3 h to overnight to get the target compounds 3a–g in low to moderate yields.
To preliminarily profile the bioactivity of these compounds, we adopted a streamlined approach which involved screening against KDM6A at two concentrations and evaluating antiproliferative activity against three representative cell lines – MCF-7 (ER(+) BCa), MDA-MB-231 (TNBC BCa) and Vero (a non-transformed cell line as control). Similar to DFP, these compounds caused concentration dependent inhibition of KDM6A, resulting in 96–100% reduction in the enzyme activity at 10 μM (Tables 2–3).
Table 2.
KDM6A (UTX) Inhibition (%) | ||||
---|---|---|---|---|
Compd | R | n | 1 (μM) | (10 μM) |
1a | 1 | 12 | 96 | |
1b | 2 | 6 | 100 | |
1c | 3 | 8 | 100 | |
1d | 4 | 12 | 100 | |
1e | 5 | 12 | 98 | |
1f | 6 | 10 | 99 | |
2a | 3 | 6 | 100 | |
2c | 3 | 4 | 100 | |
2e | 3 | 13 | 100 | |
2h | 4 | 3 | 99 | |
2i | 3 | 7 | 100 | |
2j | 4 | 8 | 100 | |
2l | 4 | 4 | 100 | |
2m | 4 | 16 | 100 | |
2n | 4 | 5 | 100 | |
2o | 4 | 10 | 100 | |
2p | 4 | 15 | 99 | |
2s | 4 | 15 | 99 | |
2t | 4 | 8 | 99 | |
2u | 5 | 15 | 99 | |
2v | 5 | 12 | 49 | |
2w | 5 | 16 | 57 |
Table 3.
KDM6A (UTX) Inhibition (%) | |||
---|---|---|---|
Compd | R | 1 (μM) | (10 μM) |
3a | 4 | 100 | |
3b | 1 | 99 | |
3c | 2 | 100 | |
3d | 3 | 100 | |
3e | 5 | 100 | |
3f | 5 | 100 | |
3g | 9 | 100 |
Subsequently, we observed that a subset of compounds from each class displayed tumor-selective cytotoxicity against the BCa cell lines tested, with potency enhancement as high as 93-fold relative to DFP (Tables 4–6, Figs S4–S7). Intriguingly, these compounds are preferentially more cytotoxic to the TNBC cell line MDA-MB-231. With the exception of 2a, 2c, 2g, 2i, 2j, 2t, 3f and 3g, these compounds reduced the viability of MCF-7 cell line by less than 50% at the maximum tested concentrations under the same conditions used for the MDA-MB-231 and Vero cell lines (Supp Info Figs S5–S7). BCa cell lines have been shown to elicit distinct sensitivity to other KDM inhibitors, possibly due to disparities in the expression levels and roles of different KDM subfamilies in the viability of these cells29–31. Encouraged by these positive attributes, we determined the IC50 of representative potent members of each class – 1d, 2j, 2u and 3g against KDM6A. We found that they inhibited KDM6A with low micromolar IC50 (Fig. 9A). Relative to DFP however, the KDM6A inhibition potencies of these lead compounds are enhanced by 1.3 to 2.5-fold and this does not completely explain the observed ~31–93-fold enhancement of the cytotoxicity of the best compounds in this series to MDA-MB-231 (Tables 5–6). This may be due to several factors including reduced tendency of 1d, 2j, 2u and 3g, relative to DFP, to form tridentate complex with intracellularly free iron in ferric state (Fe3+)32, the difference in their preference for KDM subfamily, or their improved cell penetration. We then performed Western blot analyses on cell lysates from MDA-MB-231 cells treated with various concentrations of 1d and 2u to probe if the KDM inhibition activities in the cell-free assay translate to intracellular effect. We observed that 1d and 2u induced a dose-dependent increase in the H3K4me3 and H3K27me3 levels at concentrations that are 10-times lower than those of DFP (Fig. 9B). This observation may indicate that 1d and 2u have better cell penetration properties than DFP, an attribute which may partly explain the enhanced antiproliferative activities of these DFP-based KDM inhibitors.
Table 4.
Antiproliferative Activity IC50 (μM) | ||||
---|---|---|---|---|
Compd | n | MDA-MB-231 | MCF-7 | VERO |
1a | 1 | >50 | NDa | >100 |
1b | 2 | 25.1 | ND | >50 |
1c | 3 | 10.5 | ND | >50 |
1d | 4 | 11.4 | ND | >50 |
1e | 5 | 12.5 | ND | >35 |
1f | 6 | 16.4 | ND | 17.6 |
DFP | — | 111.9 | 134.1 | 85.9 |
aND, not determinable; cell viability <50% at the maximum tested dose.
Table 6.
Antiproliferative Activity IC50 (μM) | ||||
---|---|---|---|---|
Compd | R | MDA-MB-231 | MCF-7 | VERO |
3a | NIa | NI | NI | |
3b | NI | NI | NI | |
3c | NI | NI | NI | |
3d | NI | NI | NI | |
3e | 36.9 | NDb | NI | |
3f | 25.0 | 378.4c | NI | |
3g | 3.5 | 31.1c | >50 |
aNI, no inhibition.
bND, not determinable; cell viability <50% at the maximum tested dose.
cValues calculated by linear regression.
Table 5.
Antiproliferative Activity IC50 (μM) | |||||
---|---|---|---|---|---|
Compd | R | n | MDA-MB-231 | MCF-7 | VERO |
2a | 3 | 16.4 | 42.5a | 11.6 | |
2b | 4 | 12.7 | NDb | 5.8 | |
2c | 3 | 10.9 | 62.7a | 5.2 | |
2d | 4 | 11.8 | ND | 3.6 | |
2e | 3 | 7.4 | ND | 4.1 | |
2f | 4 | 15.7 | ND | 3.1 | |
2g | 3 | 9.6 | 66.1a | >50 | |
2h | 4 | 19.1 | ND | >50 | |
2i | 3 | 7.5 | 54.8a | >50 | |
2j | 4 | 10.6 | 34.1a | >50 | |
2k | 3 | 8.1 | ND | >50 | |
2l | 4 | 9.6 | ND | >50 | |
2m | 4 | 18.3 | ND | 12.7 | |
2n | 4 | 6.8 | ND | 22.9 | |
2o | 4 | 3.6 | ND | 38.8 | |
2p | 4 | 18.8 | ND | 13.3 | |
2q | 3 | 9.5 | ND | >50 | |
2r | 4 | 12.5 | ND | >50 | |
2s | 4 | NIc | ND | NI | |
2t | 4 | 3.6 | 37.6a | 29.2 | |
2u | 5 | 1.7 | ND | 66.9 | |
2v | 5 | 2.5 | ND | 4.9 | |
2w | 5 | 1.2 | ND | 3.9 |
aValues calculated by linear regression.
bND, not determinable; cell viability <50% at the maximum tested dose.
cNI, no inhibition.
DFP-based KDM inhibitors slow HP1-stimulated heterochromatin gene repression
To elucidate the effect of DFP-based KDM inhibitors on chromatin dynamics, we profiled them in an intracellular assay which measures heterochromatin formation speed. The chromatin in vivo assay (CiA) leverages chemical induced proximity (CIP) to recruit heterochromatin protein 1 (HP1) to a modified Oct4 locus. This reporter system is composed of tandem arrays of Gal4 and zinc finger DNA binding domains in the promoter of one allele of Oct4, where the gene was replaced by a nuclear eGFP reporter. Protein fusions of Gal4-FKBP and FRB-HP1 allow for direct chemical recruitment of HP1 to the CiA:Oct4 reporter locus upon addition of the chemical inducer of proximity (CIP)-rapamycin. After CIP-rapamycin addition, HP1 is recruited to the reporter locus and brings histone methyltransferase enzymes to the chromatin reporter resulting in the repressive H3K9me3 mark being deposited (Fig. 10A). H3K9me3 deposition is the signature mark of heterochromatin and is coupled with gene silencing and loss of GFP expression (Fig. 10B)33. Others have shown that H3K4me3 marked nucleosomes impede H3K9 methyltransferase activity34. Thus, we postulate that the active H3K4me3 mark must be removed by KDM enzymes as part of the transformation from euchromatin to heterochromatin. Inhibition of KDMs, specifically those targeting H3K4me3, would result in a decrease in H3K9me3 accumulation, which would be measured in our assay as an increase in GFP positive cells.
To determine the effect of DFP-based KDM inhibitors on HP1-mediated gene repression, we treated CiA:Oct4 embryonic stem (ES) cells with doses of representative compounds ranging from 10 µM–250 nM for 48 h with CIP-rapamycin recruitment of HP1 (Fig. 10C). For this experiment, we chose representative compounds which displayed potent tumor-selective cytotoxic from each class (2j, 2t, 2v, 2w and 3g), one representative compound which displayed considerably weaker cell cytotoxicity (1a) and DFP. The percentage of GFP(+) cells was determined by flow cytometry as indicated in representative histograms (Supplemental Fig. S8). We observed that compounds 2v and 2w were the most potent inhibitors of heterochromatin formation reaching max inhibition at 1 µM. Compound 3g reached maximum inhibition at 2.5 µM while 2t only reached maximum inhibition of gene repression at 10 µM. 2j had a 20% increase in the number of GFP positive cells. Compound 1a and DFP did not inhibit heterochromatin formation.
Embryonic stem cells are sensitive to environmental stimuli which may trigger cell differentiation. During mammalian stem cell differentiation or exposure to toxic compounds, Oct4 is known to be repressed as cells lose reinforcement of the pluripotency transcriptional activation network35,36. Therefore, the CiA:Oct4 reporter without CIP-recruitment of HP1 functions is a valid system to determine how much cell differentiation or toxicity is occurring by measuring the GFP expression levels. To elucidate the effect of DFP-based KDM inhibitors on Oct4 GFP expression in the absence of HP1 recruitment, we performed dose response studies without addition of CIP-rapamycin (Fig. 11A). Compounds 2v, 2w, and 3g caused decrease in the percentage of GFP(+) cells by ~30% at 2.5 µM while 2t demonstrated a ~20% decrease in percentage GFP(+) cells only at the 10 µM dose. The remaining compounds showed no change in the percentage of GFP(+) cells. These data indicate that the compounds do not cause cell differentiation or toxicity at the doses tested (Fig. 11B).
A representative DFP-based KDM inhibitor is efficacious in murine models of ER(+) (T47D) and ER(−) (MDA-MB-231) BCas
To determine the antitumor potential of the DFP-based KDM inhibitors, we investigated the efficacy of a representative example, 2j, in two murine xenograft models of BCa. The xenografts were established using two human BCa cell lines – T47D (ER(+)) and MDA-MB-231 (ER(−)). We chose 2j because it is minimally toxic to normal cells (Table 5 and Fig. 11A) while demonstrating on-target effect (Fig. 10) and cytotoxic to both ER(+) and ER(−) BCa cells (Table 5). Because our in vitro study was conducted using MCF-7 as a model of ER(+) cell, we first tested the effect of 2j on the viability of T47D cells at three concentrations. We observed that 2j caused a dose-dependent reduction in the growth of T47D cells but to a lesser extent than its effects on the growth of MDA-MB-231 (Fig. S9). The effect of 2j on T47D viability mirrored that of its effect on MCF-7, confirming preferential cytotoxicity of the DFP-based agents the MDA-MB-231 cells. Once we established that T47D cells are sensitive to 2j, xenografts of T47D and MDA-MB-231 were established in female athymic nude mice (8-week old) by injection of cells (1 × 107) into the mammary fat pad as described previously37,38. After the tumor volume reached ~250 mm3, mice were treated with 2j (25 mg/kg body weight) for 8 weeks. As shown in Fig. 12, treatment with 2j significantly reduced tumor growth. Relative to control, 2j caused approx. 81% (4426 vs 884 mm3) and 70% (5116 vs 1536 mm3) reduction in the growth of T47D and MDA-MBMB-231 tumors, respectively. Overall these results provide clear evidence of the potential of 2j as a therapeutic agent for BCa regardless of the tumor’s receptor expression status.
Discussion
DFP, a hydroxypyridinone-derived iron chelator currently in clinical use for iron chelation therapy, elicits antiproliferative activities through mechanisms not clearly understood. The depletion of intracellular iron caused by DFP, the indirect inhibition of DNA synthesis through inactivation of RNR, and reduction of intracellular Zn2+ pool, have been suggested to be key contributing factors to the DFP-induced apoptosis3–9,14. Hydroxypyridinones, including DFP, form complexes having metal ions to ligand stoichiometry that is dependent on the identity of the chelated metal ion32. The diversity of DFP-metal ion complexes and its small, flat aromatic structure could allow DFP access to the active sites of several intracellular metalloenzymes. We have shown in our previous studies that the thiophilicity of zinc enhances the chelation of Zn2+ ion at the active site of HDAC6 and HDAC8 to 3-hydroxypyridin-2-thione relative to the closely related hydroxypyridin-2-one, resulting in inhibition of these HDAC isoforms15,16. Subfamily of Fe2+-dependent KDMs have active site architecture which resembles HDACs’ and may prefer chelation to DFP because of the low thiophilicity of iron.
In the first half of this study, we used a combination of in silico molecular docking, cell-free and cell based-assays to investigate the interaction of DFP with KDMs. As shown in Fig. 2, we found that DFP gained access to and formed a bidentate chelate with the Fe2+ at the active site of a subset of KDMs. The DFP-KDM interaction is further stabilized by H-bonding between the oxygen moieties of DFP and key residues within the enzymes active sites. This in silico observation implicates DFP as a potential inhibitor of the demethylase activity of these KDMs. Subsequent cell-free assay, monitoring KDM enzymatic activity, confirmed our in silico prediction. We observed that DFP inhibits six KDMs - 2A, 2B, 5C, 6A, 7A and 7B - at low micromolar IC50s. We also found DFP was considerably less active or inactive against eleven KDMs - 1A, 3A, 3B, 4A-E, 5A, 5B and 6B. Results from Western blot analysis (Fig. 4) revealed that DFP caused a dose dependent elevation of H3K4me3 and H3K27me3 levels in MCF-7 cells. This provided evidence for the intracellular KDM inhibition activities of DFP. It is plausible that DFP derives part of its antiproliferative properties from a convergence of KDM inhibition and metal ion chelation, resulting in the perturbation of some intracellular pathways vital to tumor cell growth. DFP elicits KDM inhibition activities at concentrations that are between 7- and 70-fold lower than the iron binding equivalence concentrations at which it inhibits RNR activities and/or reduces labile intracellular zinc ion pool8,9,14. Thus, it is highly likely that DFP derives its anti-proliferative activity largely from the inhibition of a sub-set of KDMs identified in this study.
The initial in silico docking study on DFP revealed structure-based insights for the optimization of DFP. These in silico observations provided a foundation for the SAR study that furnished several novel DFP-based KDM inhibitors which are preferentially more cytotoxic to the TNBC cell line MDA-MB-231. Several members of KDM subfamilies have been implicated in the epigenetic reprograming which sustains BCas regardless of hormone expression status23,24,39–43. Additionally, representative BCa cell lines, including MCF-7 and MDA-MB-231, express different levels of KDM subfamilies and elicit distinct sensitivity to other KDM inhibitors29–31. However, the basis for the enhanced sensitivity of the TNBC cell line to these DFP-based compounds is not completely clear from this study since we have only screened them against one representative KDM (KDM6A).
We further found that representative compounds 2j, 2t, 2v, 2w and 3g, which displayed potent tumor-selective cytotoxic, have intracellular KDM inhibition activities in an orthogonal assay which measures heterochromatin gene repression velocity following HP1 recruitment to the CiA:Oct4 locus. Here these compounds, significantly inhibited heterochromatin firing at a relevant mammalian locus. We hypothesize this occurs from pan KDM inhibition including H3K4 demethylation which impeded H3K9me3 deposition and gene silencing. Conversely, compound 1a and the parent DFP compound did not show measurable inhibition activity in the heterochromatin formation assay even at 10 μM. These data are consistent with our findings from the Western blot analysis since increase in H3K4me3 and H3K27me3 levels was observed only at 10x the dose used to measure the heterochromatin formation speed.
Subsequent profiling of a representative compound, 2j, revealed that the in vitro antiproliferative activities displayed by these DFP-based KDM inhibitors are likely going to translate into in vivo efficacy as 2j potently inhibited breast tumor growth in murine xenograft models. Since it is efficacious in representative ER(+) (T47D) and ER(−) (MDA-MB-231) BCas models, 2j has potential as a novel therapeutic agent for multiple forms of BCas.
In conclusion, our study has furnished a new insight into the mechanism of the anti-proliferative activities of DFP as we revealed that DFP is a pan-selective KDM inhibitor. The docked poses adopted by DFP at KDM active sites also permitted modifications which enabled identification of a cohort of new DFP-based anti-proliferative agents which displayed selective cytotoxicity against a TNBC cell line. Furthermore, this new class of molecules caused a delay in heterochromatin gene repression that was not seen in the parent DFP and a representative compound, 2j, potently suppressed the growth of T47D and MDA-MBMB-231 in murine xenograft models. Taken together our study has identified a new chemical scaffold capable of inhibiting KDM enzymes, globally changing histone modification profiles, and with specific anti-tumor activities.
Methods
Material
Maltol and the phenylacetylene derivatives were purchased from Sigma Aldrich. Anhydrous solvents and other reagents were purchased either from Sigma or Acros and were used without further purification. Analtech silica gel plates (60 F254) were utilized for analytical TLC, and Analtech preparative TLC plates (UV254, 2000 μm) were used for purification. Silica gel (200–400 mesh) was used in column chromatography. TLC plates were visualized using UV light, anisaldehyde, and/or iodine stains. High performance liquid chromatography (HPLC) was performed on an Agilent Technologies 1260 Infinity HPLC system coupled to a Bruker amaZon SL ion trap mass spectrometer operating in positive mode. The system was run using 0.1% formic acid in both water (solvent A) and acetonitrile (solvent B), starting with 5% B for 4 minutes, followed by a gradient increase of 5% to 100% of B over 30 min with flow rate of 0.7 mL/min. All compounds have ≥95% purity as determined by HPLC, except for 3a–3f whose purity ranged from 89–94% (shown for each compound in the protocol). NMR spectra were obtained on a Varian-Gemini 400 MHz and Bruker Ascend™ 500 and 700 MHz magnetic resonance spectrometer. 1H NMR spectra were recorded in parts per million (ppm) relative to the residual peaks of CHCl3 (7.24 ppm) in CDCl3 or CHD2OD (4.78 ppm) in CD3OD or DMSO-d5 (2.49 ppm) in DMSO-d6. MestReNova (version 11.0) was used to process the original “fid” files. High-resolution mass spectra were gathered with the assistance of the Georgia Institute of Technology mass spectrometry facility (Atlanta, GA). Bisazidoalkanes, benzylmaltol, and azidopropyl-hydroxy-methylpyridin-4(1H)-one were synthesized adapting literature protocols44,45.
Molecular Docking Analysis
Prior to docking analysis with the appropriate macromolecule (KDM structure) in PyRx, energy minimization of the ligand and merging of non-polar hydrogens were performed in Chem3D 15.1 and Autodock Vina25, respectively. After the removal of the heteroatoms, preparations of the macromolecules were performed directly in PyRx where the docking runs were achieved within a 25 Å cube surrounding the active site. Upon the completion of the runs, the results were reported as nine outputs, ranked in accordance to their binding affinity. For molecular interaction analysis, the macromolecule, along with the best fit outputs from PyRx were loaded onto PyMOL where the docked orientations along with molecular interactions were assessed.
KDM Cell-free Assay
This experiment was done through a contractual agreement with BPS Bioscience, San Diego, CA. Detailed protocol is included in the Supplementary Information.
Western Blot Analysis for Histone H3 Methylation
Cell lysates were prepared in the RIPA lysis buffer (10 mM Tris-Cl (pH 8.0), 1 mM EDTA, 1% Triton X-100, 0.1% sodium deoxycholate, 0.1% SDS, 140 mM NaCl, and 1 mM PMSF). The images of the Western blots were scanned by LI-COR’s Odyssey® (LI-COR) and the signal intensities were quantified using Image Studio™ software (LI-COR) (Fig. S10). More details are provided in the Supplementary Information.
Cell Viability Assay
The In vitro proliferation assay was performed as reported previously15,16. Detailed description of the protocol used is included in the Supplementary Information.
HP1-Recruitment Assay Dose Curve
Day 0, CiA:Oct4 N118/163 cells were grown in ES media and seeded at a density of 10,000 cells per well in 100 μL media (100,000 cells mL−1) on gelatin coated 96 well plates. Day 1, culture media was aspirated and replaced with 100 µL ES media containing +/− 6 nM rapamycin. 10 µM, 5 µM, 2.5 µM, 1 µM, 500 nM, and 250 nM concentrations of compound or DMSO were added using a TTP Labtech Mosquito HTS liquid handler. Days 2, fresh ES media +/− rapamycin and compound were added as in Day 1. Day 3, cells were washed with PBS and trypsinized using 0.25% trypsin-EDTA. Trypsin was quenched with serum. Cells were resuspended by pipetting in preparation for flow cytometry analysis.
Flow Cytometry and Analysis
Flow cytometry data was acquired using the Intellicyt iQue Screener and analyzed with FlowJo software. More details are provided in the Supplementary Information.
Mouse Xenograft Assay
Female athymic nude mice (8-week old) were purchased from Jackson Laboratories and housed in standard conditions. T47D and MDA-MBMB231 cells were injected subcutaneously into the mammary fat pad (1 × 107 cells in 100 μL of serum-free medium) as described previously37,38. Tumor size was measured periodically by caliper, and tumor volume was calculated using the formula (width2 × length)/2. Once the tumor volume reached ~250 mm3, mice were treated with 2j (25 mg/kg body weight) for 8 weeks. The control and the treatment groups comprised of 5 mice per group and the experiment was repeated 2 times (n = 10). During the course of the experiment, tumor volume was measured every week and values are expressed as mean ± SD. All animal experiments were approved by the Augusta University Institutional Animal Care and Use Committee. All protocols were conducted in accordance with the Augusta University Institutional Animal Care and Use Committee.
Supplementary information
Acknowledgements
This project was financially supported by NIH grant R21CA185690 (A.K.O.), the Georgia Tech Integrated Cancer Research Center Seed Grant (A.K.O. and Y.F), NIH grant R01GM118653 (N.A.H.), a tier 2 award from the UNC Eshelman Institute for Innovation (N.A.H.).
Author Contributions
V.K., S.T. and Y.X.: synthesized all the reported compounds. V.K.: conducted molecular docking analysis and whole cell screening and contributed to writing the manuscript. I.A.M: performed flow cytometry and HP1 recruitment assays. P-Y.H. and B.A.S.: performed the Western blotting on samples provided by V.K. Y.F.: analyzed Western blot data and contributed to writing manuscript. N.A.H.: designed the HP1 recruitment assay, analyzed flow cytometry and HP1 recruitment assay data and contributed to writing manuscript. A.B., P.P., and M.T.: performed MTT and mouse xenograft studies on compound 2j. M.T.: analyzed MTT and xenograft data and contributed to writing manuscript. A.K.O.: developed the concept, analyzed the results and wrote the manuscript.
Competing Interests
The authors declare no competing interests.
Footnotes
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Subhasish Tapadar and Ian A. MacDonald contributed equally.
Contributor Information
Nathaniel A. Hathaway, natehat@email.unc.edu
Adegboyega K. Oyelere, Email: aoyelere@gatech.edu
Electronic supplementary material
Supplementary information accompanies this paper at 10.1038/s41598-019-39214-1.
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