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Synthesis and Biological Evaluation of Phenanthrenes as Cytotoxic Agents with Pharmacophore Modeling and ChemGPS-NP Prediction as Topo II Inhibitors

  • Chia-Lin Lee ,

    Contributed equally to this work with: Chia-Lin Lee, Ying-Ting Lin

    Affiliations School of Chinese Medicine, China Medical University, Taichung, Taiwan, Natural Medicinal Products Research Center, China Medical University Hospital, Taichung, Taiwan

  • Ying-Ting Lin ,

    Contributed equally to this work with: Chia-Lin Lee, Ying-Ting Lin

    Affiliation Department of Biotechnology, Kaohsiung Medical University, Kaohsiung, Taiwan

  • Fang-Rong Chang ,

    yachwu@mail.cmu.edu.tw (YCW); aaronfrc@kmu.edu.tw (FRC)

    Affiliations Graduate Institute of Natural Products, Kaohsiung Medical University, Kaohsiung, Taiwan, Cancer Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan

  • Guan-Yu Chen,

    Affiliation Natural Medicinal Products Research Center, China Medical University Hospital, Taichung, Taiwan

  • Anders Backlund,

    Affiliation Division of Pharmacognosy, Department of Medicinal Chemistry, BMC, Uppsala University, Uppsala, Sweden

  • Juan-Chang Yang,

    Affiliation Graduate Institute of Natural Products, Kaohsiung Medical University, Kaohsiung, Taiwan

  • Shu-Li Chen,

    Affiliation Graduate Institute of Natural Products, Kaohsiung Medical University, Kaohsiung, Taiwan

  • Yang-Chang Wu

    yachwu@mail.cmu.edu.tw (YCW); aaronfrc@kmu.edu.tw (FRC)

    Affiliations School of Chinese Medicine, China Medical University, Taichung, Taiwan, Natural Medicinal Products Research Center, China Medical University Hospital, Taichung, Taiwan, Graduate Institute of Natural Products, Kaohsiung Medical University, Kaohsiung, Taiwan, Center for Molecular Medicine, China Medical University Hospital, Taichung, Taiwan

Abstract

In a structure-activity relationship (SAR) study, 3-methoxy-1,4-phenanthrenequinones, calanquinone A (6a), denbinobin (6b), 5-OAc-calanquinone A (7a) and 5-OAc-denbinobin (7b), have significantly promising cytotoxicity against various human cancer cell lines (IC50 0.08–1.66 µg/mL). Moreover, we also established a superior pharmacophore model for cytotoxicity (r = 0.931) containing three hydrogen bond acceptors (HBA1, HBA2 and HBA3) and one hydrophobic feature (HYD) against MCF-7 breast cancer cell line. The pharmacophore model indicates that HBA3 is an essential feature for the oxygen atom of 5-OH in 6a–b and for the carbonyl group of 5-OCOCH3 in 7a–b, important for their cytotoxic properties. The SAR for moderately active 5a–b (5-OCH3), and highly active 6a–b and 7a–b, are also elaborated in a spatial aspect model. Further rational design and synthesis of new cytotoxic phenanthrene analogs can be implemented via this model. Additionally, employing a ChemGPS-NP based model for cytotoxicity mode of action (MOA) provides support for a preliminary classification of compounds 6a–b as topoisomerase II inhibitors.

Introduction

Natural phenanthrenes are probably generated from photochemical cyclization of stilbenes [1]. More than 270 phenanthrenes have been isolated from natural products, especially the family Orchidaceae, and some of them possess various biological activities, including cytotoxicity, antiplatelet aggregation, anti-inflammatory, antimicrobial, spasmolytic, anti-allergic activities and phytotoxicity [1]. In our previous study, calanquinone A [5-hydroxy-3,6,7-trimethoxy-1,4-phenanthrenequinone (5-hydroxy-3,6,7-trimethoxy-1,4-PQ)] (Figure 1), a new PQ isolated from Calanthe arisanensis in 2008, showed significant cytotoxic activity against human lung (A549), prostate (PC-3 and DU145), colon (HCT-8), breast (MCF-7), nasopharyngeal (KB), and vincristine-resistant nasopharyngeal (KBVIN) cancer cell lines with EC50 values of 0.03–0.45 µg/mL [2], [3]. Calanquinone A is related in structure to other naturally occurring cytotoxic PQs, including denbinobin (Figure 1) (5-hydroxy-3,7-dimethoxy-1,4-PQ), sphenone A (3,6,7-trimethoxy-1,4-PQ), densiflorol B (7-hydroxy-2-methoxy-1,4-PQ), and annoquinone A (3-methoxy-1,4-PQ) [1]. Denbinobin, first isolated from Dendrobium nobile in 1981, is the only 1,4-PQ that has been studied in terms of the cytotoxic mechanisms of human colon (HCT-116 and COLO 205), lung adenocarcinoma (A549), myelogenous leukemia (K562), and pancreatic adenocarcinoma (BxPC-3) cancer cell lines [4][11]. The data implied that denbinobin could be a potential anticancer lead compound.

In our preliminary results of cytotoxic structure-activity relationship (SAR) studies, calanquinone A (6a) displayed an up to 7-fold greater cytotoxic activity than denbinobin (6b), which is known as a potent cytotoxic agent [4][11], toward human liver (HepG2 and Hep3B), oral (Ca9-22), lung (A549) and breast (MEA-MB-231 and MCF7) cancer cell lines. Up to now, the SAR of PQs and phenanthrenes has only rarely been reported and is worthy of further study. In this research, calanquinone A (6a), denbinobin (6b) and their derivatives were synthesized [3], [12], [13] and evaluated for cytotoxic activity. In addition, employing a ChemGPS-NP based model provides the prediction for cytotoxicity mode of action (MOA) of calanquinone A (6a) and denbinobin (6b).

Results and Discussion

Chemistry

Eleven natural phenanthrene analogs (CA-1-11) (Figure 2) were isolated from C. arisanensis, and calanquinone A (CA-1) exhibited the highest potency against human cancer cell lines [2], [3]. According to the previous results [3], calanquinone A (CA-1) was selected as a lead compound and its derivatives were then synthesized for this study.

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Figure 2. Structural sets used in the pharmacophore study.

CA-1∼CA-11 and 3a-9b are noted as natural and synthesized compounds, respectively.

https://doi.org/10.1371/journal.pone.0037897.g002

We modified the synthetic procedure of Dr. Kraus and his co-workers [12], [13] to synthesize all phenanthrene derivatives. As shown in Figure 3, 2-aldehyde-1,4-quinone was prepared by DDQ oxidation of commercially available 2,5-dihydroxybenzaldehyde. The quinone was coupled with 3,4,5-trimethoxytoluene and 3,5-dimethoxytoluene in the presence of 1 equivalent of trifluoroacetic acid to produce 1a and 1b, respectively. Compounds 1a and 1b were methylated with Me2SO4 in the presence of K2CO3 (acetone, 60°C, 5 h) to give the desired 2a and 2b. Cyclization of 2a and 2b with P4-tBu (benzene, 110 or 140°C, 19–29 h) gave phenanthrenes 3a and 3b, which were oxidized with AgO (6 N HNO3, acetone, 50°C, 2–3 min) to phenanthrenequinone 4a, 4b and 4c. Addition of methanol to 4a, 4b and 4c catalyzed by ferric sulfate [14] gave 5af, respectively (Figure 4). Compounds 7a and 7b were obtained by treatment of 5a and 5b with TMSI (CH2Cl2, RT or 60°C, monitored by TLC) to give calanquinone A (6a; CA-1) and denbinobin (6b), followed by treatment with Ac2O (pyridine, RT, overnight) to selectively remove the methyl group and incorporate an acetyl group at C-5, respectively (Figure 5). It is a characteristic feature of the angular arrangement of 1,4-phenanthrenequinones which led to remarkable selectivity in the cleavage of sterically hindered methyl ether at C-5 even in preference of that at C-3. However, applying TMSI to remove the methyl groups in phenanthrenes 3a and 3b was unsuccessful. Finally, cleavage of the methyl ether groups in 3a and 3b with AlCl3 generated compounds 8a & 9a and 8b & 9b, respectively (Figure 6). The excess AlCl3 regioselectively cleaved the methyl ethers only at C-4 and C-5 or C-6 in order to release the steric strain.

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Figure 3. Synthetic procedure of phenanthrene derivatives.

Reagents and conditions: (i) DDQ, benzene, RT. (ii) TFA, ether, RT. (iii) Me2SO4, K2CO3, acetone, reflux. (iv) P4-tBu, benzene, 140°C. (v) AgO, 6 N HNO3, acetone, 60°C.

https://doi.org/10.1371/journal.pone.0037897.g003

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Figure 4. Synthesis of methoxy-phenanthrenequinones.

Reagents and conditions: (i) MeOH, Fe2(SO4)3, PTSA, 70°C.

https://doi.org/10.1371/journal.pone.0037897.g004

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Figure 5. Selective demethylation and acetylation of phenanthrenequinones.

Reagents and conditions: (i) TMSI, CH2Cl2, RT or 60°C. (ii) Ac2O, pyridine, RT.

https://doi.org/10.1371/journal.pone.0037897.g005

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Figure 6. Demethylation of phenanthrenes.

Reagents and conditions: (i) AlCl3, benzene, 70°C.

https://doi.org/10.1371/journal.pone.0037897.g006

Cytotoxicity

The cytotoxic assay of 11 naturally occurring and 19 synthesized phenanthrenes was carried out on a diverse set of human liver (HepG2 and Hep3B), oral (Ca9-22), lung (A549) and breast (MEA-MB-231 and MCF7) cancer cell lines, and a human fetal lung fibroblast (MRC-5) cell line (Tables 1 and 2). Doxorubicin was used as a positive control and an IC50>4 µg/mL was considered inactive.

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Table 1. Cytotoxicity data of natural phenanthrenes isolated from C. arisanensis.

https://doi.org/10.1371/journal.pone.0037897.t001

Among the 11 naturally occurring compounds [2], calanquinone A (CA-1) (5-OH, 6-OCH3) and calanquinone B (CA-2) (5-OCH3, 6-OH) simply have reversed placements of the OH and one OCH3 group, but CA-2 was much less potent than CA-1 (Figure 2 and Table 1). The SAR results of CA-1 and CA-2 could possibly be explained by intramolecular hydrogen bonding between C = O (C-4) and OH (C-5) groups in 3-methoxy-1,4-PQs that may be a necessary moiety for cytotoxicity. To set up SAR correlations and identify active phenanthrene analogs, calanquinone A (CA-1) was selected as a lead compound for further studies.

Accordingly, 19 analogues including calanquinone A (6a; CA-1) were synthesized and tested in cytotoxicity assays. As shown in Table 2, calanquinone A (6a) and denbinobin (6b) exhibited significant potency against all cancer cell lines (IC50 0.08–1.06 µg/mL). PQs 7a and 7b also showed very high potency against five cancer cell lines (IC50 0.16–1.66 µg/mL), not including HepG2. Conversely and interestingly, PQs 5d and 5e were active only against the HepG2 cancer cell line with IC50 values of 1.49 and 1.24 µg/mL, respectively. PQs 4a, 4b, 4c and phenanthrene 8a displayed selective activity toward the Ca9-22 cancer cell line with IC50 values of 2.17, 3.45, 1.90 and 3.91 µg/mL, respectively. The SAR study of cytotoxicity suggested that the skeleton of 1,4-PQ is preferable to that of phenanthrene. To evaluate a potential SAR of the intramolecular hydrogen bond between C-4 and C-5, 3-methoxy-1,4-PQs 5ab, 6ab and 7ab were designed. Compounds 6a and 6b, with OH at C-5 and C = O at C-4, can form an intramolecular hydrogen bond. However, the hydrogen donors of 5ab and 7ab have been replaced with OCH3 and OAc groups, respectively. Among the six 3-methoxy-1,4-PQs, 6a and 6b exhibited the most significant potency, especially 6a (IC50 0.08–0.89 µg/mL). Compounds 5a and 5b showed marginal activities against all human cancer cell lines. Surprisingly, the new 7a and 7b, with OAc at C-5 and C = O at C-4, were active toward five human cancer cell lines (IC50 0.16–1.66 µg/mL), but not HepG2. These data also represent the first time we have found this phenomenon in a cytotoxic assay of PQ derivatives. To expand upon the SAR study, all natural and synthesized compounds were used for the 3D pharmacophore model building.

3D Pharmacophore Modeling

To further identify the critical structural features of the phenanthrene analogs, 29 compounds (Figure 2) were used for pharmacophore modeling with Catalyst HypoGen. In this spatial aspect model, the phenanthrene structures and their cytotoxicity toward MCF-7 cancer cell line showed some interesting information.

The best pharmacophore model was established as a result of thirty runs with various parameters and characterized by a best correlation coefficient (0.931), the lowest total cost value (109.366), the highest cost difference (42.417), and the lowest RMS (0.790) (for details see Tables S1, S2 and Figure S1; Text S1). As shown in Figure 7, four essential features, three hydrogen bond acceptors (HBA1, HBA2 and HBA3) and one hydrophobic feature (HYD) were defined. All mutual distances of the four features can be measured. The distances between HBA1 and HBA2 or HBA3 were found to be 5.13 and 7.40 Å, respectively. The distances between HBA2 and HBA3 or HYD were found to be 5.95 and 5.92 Å, respectively. The distances between HYD and HBA1 or HBA3 were found to be 3.83 and 4.78 Å, respectively. The distance between HBA2 and HBA3 is especially critical for the MCF-7 cytotoxic effect in this model.

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Figure 7. The mutual distances of the hydrogen bond triad and the distances between hydrogen bonds and hydrophobic group in the best HypoGen pharmacophore model.

The pharmacophore features are colored with green, as are the hydrogen-bond acceptors (HBA1, HBA2 and HBA3). The hydrophobic aromatic feature (HYD) is denoted in cyan. Distances between features are in Ångström units.

https://doi.org/10.1371/journal.pone.0037897.g007

The mappings of the best model with all compounds show fit values ranging from 6.18 to 8.57 (Table S3; Text S1). Calanquinone A (6a) mapped to the best hypothesis model with the fit value of 8.57 reveals significant features in Figure 8A. Obviously, the HBA1 links to the carbonyl group of quinone ring at C-1, HBA2 links to the oxygen atom of the methoxyl group at C-3, HBA3 links to the oxygen atom of the hydroxyl group at C-5, and HYD aligns to the aromatic ring (B-ring). Compound 6b has a similar alignment as 6a, with a high fit value of 7.95 (Figure 8B and Table S3). As shown in Figures 8C and 8D, 7a and 7b, which are highly toxic to MCF-7 cells, also match against all features of the best hypothesis in which 7a was originally designed to remove the intramolecular hydrogen bond and was previously speculated to be less cytotoxic. The main difference in structure between 7ab and 6ab is the carbonyl group of the acetoxyl substituent at C-5. Consequently, the conserved distance between HBA2 and HBA3 explains why 7a and 7b, with OCOCH3 at C-5 and C = O at C-4 but without the same intramolecular hydrogen bonds as 6a and 6b, can still possess significant cytotoxicity, in contrast to our previous speculation. For less MCF-7 cytotoxic compounds, mismatching one hydrogen bond in the triad and thus disrupting the structures of 5a and 5b results in moderate inhibition, one order higher in µg/mL. The oxygen atom of the methoxyl group at C-6, the carbonyl group at the C-4 position, and the aromatic atom at C-9 of 5a fit into the HBA2, HBA3 and HYD, respectively. However, they do not fit into HBA1 (Figure 8E). Also, the carbonyl group at C-1, the oxygen atom of the methoxyl group at C-3, and the aromatic atom at C-9 of 5b match against HBA1, HBA2 and HYD features, but are not linked to HBA3 (Figure 8F).

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Figure 8. The best HypoGen pharmacophore model mapping onto calanquinone A (6a) and its derivatives.

The light and dark green represent active and inactive features, respectively. The models mapped with the compounds 6a (A), 6b (B), 7a (C), 7b (D), 5a (E) and 5b (F) are shown here. Pharmacophore features are colored as in Figure 7.

https://doi.org/10.1371/journal.pone.0037897.g008

Thus, HBA1, 2 and 3 complete the triad of the hydrogen acceptor feature and clearly explain the MCF-7 cytotoxic variation of 5ab, 6ab and 7ab. In addition, the hydrophobic feature HYD indicates a pharmacophore anchor for a three-ring core as in phenanthrene and PQ derivatives in the series. The hydrophobic feature links to all compounds and the HBA feature always links to the carbonyl group at C-1 or C-4 of the quinone ring in all PQs. As a whole, a pharmacophore and explicit SAR were established herein.

ChemGPS-NP Analysis of Calanquinone A (6a) and Denbinobin (6b)

ChemGPS-NP (chemical global positioning system for natural products) is a computational model based on principal component analysis of physical-chemical properties. Such properties can be estimated directly from structure data, and by performing score prediction in the ChemGPS-NP model, this provides a versatile tool for charting and navigating the biologically relevant chemical space [15]. In a previous study ChemGPS-NP has successfully been used to chart a set of known anticancer agents with different cytotoxic mechanisms. The resulting map has been used as a tool to predict the anticancer Mode of Action (MOA) for new and previously unstudied lead compound [16]. As shown in Figure 9, the two most potent cytotoxic compounds, calanquinone A (6a) and denbinobin (6b), were predicted in the model. Evaluating their resulting position on the chemical space map, it can be concluded that these phenanthrene derivatives do not unambiguously belong to any of the well defined groups representing alkylating agents, antimetabolites, proteasome inhibitions, tyrosine kinase inhibitors, topoisomerase I, and tubulin inhibitors except topoisomerase II inhibitors. The preliminary result of this ChemGPS-NP analysis indicates that calanquinone A (6a) and denbinobin (6b) might be members of a topoisomerase II inhibitor, which however, still remains to be further elucidated.

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Figure 9. ChemGPS-NP analysis of calanquinone A (6a) and denbinobin (6b).

Score plot of the three dimensions (principal components 2–4) consisting of PC2 (yellow; aromaticity etc.), PC3 (green; lipophilicity etc.) and PC4 (orange; flexibility/rigidity), from analysis of most potent compounds 6a and 6b as medium seagreen cubes in the ChemGPS-NP model addressed by Rosén et al. in 2009 for prediction of MOA. A reference set of known anticancer agents includes alkylating agents (red), anti-metabolites (lime), proteasome inhibitions (cyan), tyrosine kinase inhibitors (orange), topoisomerase I (blue), topoisomerase II (magenta), and tubulin inhibitors (black).

https://doi.org/10.1371/journal.pone.0037897.g009

Topoisomerase II Assay

From the ChemGPS-NP analysis, it seems that the MOA for 3-methoxy-1,4-PQs might processes cytotoxicity as a topoisomerase II inhibitor. In the previous study [17], 1,4-benzoquinone has been found to poison human topoisomerase IIα. According to these results, we chose the most potential calanquinone A (6a) and its moderate compound 5a to test the DNA cleavage assay, in which known etoposide (VP-16) was used as the positive control. As shown in Figure 10, compound 6a showed the inhibition on Topo IIα in the result of the appearance of supercoided DNA instead of the relaxed one at the concentration of 100 µmol/L. Additionally, compound 5a also had the similar effect at higher concentration (200 µmol/L). Moreover, both compounds induced the formation of linear DNA, suggesting that they could possibly trap Topo IIα into DNA cleavage complex. Our data proved PQs inhibit hTopoII in vitro with inducing DNA strand breaks and protein covalently bound to DNA, ultimately leading to cell cycle arrest and death.

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Figure 10. Topoisomerase II DNA cleavage assay.

An in vitro assay was used to assess the effect of compounds 6a and 5a on the DNA cleavage activity of human TopoII. Etoposide was the positive control. Control lane: TopoIIα + plasmid DNA. DMSO lane: TopoIIα + plasmid DNA + DMSO.

https://doi.org/10.1371/journal.pone.0037897.g010

Conclusion

In summary, a series of phenanthrene derivatives, including the new derivatives (3a, 4c, 5cf, 7a, 8ab and 9ab), were synthesized in this investigation. On the basis of our SAR studies, 3-methoxy-1,4-PQs 6a (calanquinone A), 6b (denbinobin), 7a (5-OAc-calanquinone A) and 7b (5-OAc-denbinobin) were identified as highly potent cytotoxic agents.

A best ligand-based pharmacophore model against the MCF-7 cancer cell line was successfully established. It explains the SAR of 3-methoxy-1,4-PQs 5ab (5-OCH3), 6ab (5-OH) and 7ab (5-OCOCH3) in a spatial aspect model. Highly active 6a, 6b, 7a and 7b possess three hydrogen bond acceptors forming a hydrogen bond triad combined with one hydrophobic group as a pharmacophore that can interact with a potential target. The revealed pharmacophore model provides a bona fide basis for further design and synthesis of promising phenanthrene structures in vitro to study their anti-breast cancer properties. On the basis of ChemGPS-NP prediction and TopoII assay assessment, 1,4-PQs were suggested as the topoisomerase II inhibitors. This is the first time to apply ChemGPS-NP to previously untested cytotoxic compounds for MOA prediction. In the future, ChemGPS-NP could be used to effectively find the most possible MOA in the new drug discovery, as suggested by Rosén and co-workers [16].

Overall, our data demonstrate that PQs could be promising lead compounds for the further development of anti-cancer.

Materials and Methods

General

Melting points were determined on a Yanaco® digital micro melting point apparatus model MP-500D without correction. NMR spectra were recorded on Varian Unity-plus 400 MHz FT-NMR and Varian Mercury-plus 400 MHz FT-NMR instruments. Chemical shift (δ) values are in ppm (parts per million) with CDCl3 as the internal standard, and coupling constants (J) are in Hz. HRESI-MS and ESI-MS measurements were performed on a Bruker Daltonics APEX II 30e mass spectrometer. TLC was performed on Kieselgel 60, F 254 (0.25 nm, Merck), and spots were viewed under ultraviolet light at 254 and 356 nm. For column chromatography, silica gel (Kieselgel 60, 70–230, and 230–400 mesh, Merck) and a Biotage® SP system apparatus were used.

Cytotoxicity ASSAY

Compounds were tested against human liver (HepG2 and Hep3B), oral (Ca9-22), lung (A549), breast (MEA-MB-231 and MCF7) cancer cell lines, and the human fetal lung fibroblast (MRC-5) cell line using an established colorimetric MTT assay protocol [18]. The absorbance was measured at 550 nm using a microplate reader. The IC50 is the concentration of agent that reduced cell growth by 50% under the experimental conditions.

3D Pharmacophore Model

The pharmacophore modeling with Catalyst HypoGen was performed via Discovery Studio 2.1 (Accelrys, San Diego, CA, USA) [19]. Twenty-nine phenanthrene derivatives were collected from the natural plant, C. arisanensis, and from chemical synthesis (Figure 2). Cytotoxicity against MCF-7 cells was determined by the MTT assay and the concentration (µg/mL) of test compound which inhibited 50% of the cancer cells (IC50) was used in the generation of the pharmacophore model. An IC50 value of >20 µg/mL was defined as 20 µg/mL. All experimental IC50 values spanned about 2–3 orders of magnitude from 0.09 to 20 µg/mL. The 2D/3D structures of compounds were generated using ChemBioOffice 2008 (Cambridge Scientic Computing, Cambridge, Massachusetts, USA) and then optimized in a Dreiding force field. The conformational ensemble of each compound was generated using the best conformational analysis method based on a CHARMM force field with a 20 kcal/mol energy threshold above the global minimum. A maximum limit of 255 conformations was used to cover maximum conformational space. The best 3D arrangements of chemical functionalities should explain the activity variations among the 29 compounds. Thirty runs with different parameters were performed for the best pharmacophore hypothesis. Four chemical features, including hydrogen-bond acceptor (HBA), hydrogen-bond donor (HBD), hydrophobic (HYD), and aromatic ring (AR) features, were also tested during the building of pharmacophore hypotheses (Table S1; Text S1). The best hypotheses were selected via a correlation and a cost analysis in Catalyst HypoGen.

Three costs including the total cost (the sum of weight, error and configuration cost), the null cost and the fixed cost will be evaluated. A total cost that is similar to the fixed cost and far from the null cost indicates statistically significant pharmacophore hypotheses. A difference between the total cost and null cost ranging from 40 to 60 indicates a true correlation of the pharmacophore hypothesis with 75–90% high probability. The true correlation represents <50% probability when it is less than 40. Generally, the configuration cost should be smaller than 17 in a standard HypoGen model. According to the total cost (109.366), fixed cost (99.558), null cost (151.783), RMS value (0.790), and correlation coefficient (0.931) (Table S2), the best pharmacophore hypothesis, run 22, containing three hydrogen-bond acceptors (HBA1, HBA2, HBA3) and one hydrophobic feature (HYD) was selected (Figure 7).

ChemGPS-NP

The PCA-based model ChemGPS-NP (http://chemgps.bmc.uu.se) is a tool for navigation in biologically relevant chemical space. It has eight principal components (PC; dimensions), derived from 35 molecular descriptors describing physical-chemical properties such as size, shape, polarizability, lipophilicity, polarity, flexibility, rigidity, and hydrogen bond capacity for a reference set of compounds. The ChemGPS-NP descriptors were calculated for compounds 6a and 6b on the basis of their structure information as simplified molecular input line entry specification (SMILES) using the software DRAGON Professional. Compounds 6a and 6b were then mapped onto ChemGPS-NP using interpolation in terms of PCA score together with a reference set of known anticancer agents with previously studied Mode of Action (MOA) (Anticancer Agent Mechanism Database; http://dtp.nci.nih.gov/docs/cancer/searches/standard_mechanism.html). Principal component and PCA score prediction were calculated employing the software SIMCA-P+, with the training set ChemGPS-NP. Prior to PCA determination, all data were centered and scaled to unit variance [16].

Topoisomeras II Assay

Topoisomerase II assay was performed by using a Topo II Drug Screening Kit (TopoGEN, Inc.). In brief, 0.1 µg of pHOT plasmid DNA was incubated with 2 units of topoisomerase IIα in 20 µL assay buffer at 37°C for 40 min in the presence of tested compounds (6a, 5a) and control drug, etoposide, respectively. 2 µL of 10% SDS and 2.5 µL of 10 mg/mL proteinase K were added into the reaction sample and then incubated for 30 min at 37°C to digest topoisomerase IIα. The samples were mixed with 2 µL of loading buffer and cleaned up by adding an equal volume of phenol:chloroform:isoamyl alcohol (25∶24∶1) according to the description. The sample was mixed by vortex and centrifuge for 10 sec. An aliquot (10 µL) of the upper aqueous part was analyzed by electrophoresis with 2% agarose gel containing 0.5 µg/mL of ethidium bromide [20].

3,6-Dihydroxy-2′,3′,4′-trimethoxy-6′-methyl-biphenyl-2-carbaldehyde (1a).

2,5-dihydroxybenzaldehyde (3.01 g, 21.79 mmol) and DDQ (9.18 g, 40.42 mmol) were dissolved in dry benzene. The mixture was stirred at RT overnight, and the benzene was then evaporated. The crude product reacted with equimolar amounts of 3,4,5-trimethoxytoluene and trifluoroacetic acid in Et2O at RT for 24 h or for an extended reaction time to obtain the best yield. The crude product was poured onto ice water and extracted three times with EtOAc. The EtOAc layer was washed once with brine and dried with Na2SO4. The product was chromatographed on silica gel and eluted with CH2Cl2 to give compound 1a (2.14 g, 31.16%). 1H NMR (CDCl3): δ 2.01 (s, 3 H), 3.65 (s, 3 H), 3.87 (s, 3 H), 3.91 (s, 3 H), 4.65 (s, OH), 6.68 (s, 1 H), 6.95 (d, 1 H, J = 8.8 Hz), 7.23 (d, 1 H, J = 8.8 Hz), 9.45 (s, 1 H), 11.38 (s, OH); 13C NMR (CDCl3): δ 19.9, 56.0, 61.0, 61.1, 109.7, 116.2, 117.8, 118.2, 125.2, 125.5, 133.9, 140.5, 145.6, 152.2, 154.4, 156.9, 196.7.

3,6-Dihydroxy-2′,4′-dimethoxy-6′-methyl-biphenyl-2-carbaldehyde (1b).

2,5-dihydroxybenzaldehyde (771.46 mg, 5.59 mmol), DDQ (2.54 g, 11.17 mmol), 3,5-dimethoxytoluene (850 mg, 5.59 mmol), and trifluoroacetic acid were used with the method described for 1a to yield 1b (842.40 mg, 52.69%). 1H NMR (CDCl3): δ 1.91 (s, 3 H), 3.62 (s, 3 H), 3.72 (s, 3 H), 3.85 (s, 3 H), 3.88 (s, 3 H), 3.91 (s, 3 H), 6.58 (s, 1 H), 6.98 (d, 1 H, J = 8.8 Hz), 7.15 (d, 1 H, J = 8.8 Hz), 9.98 (s, 1 H); 13C NMR (CDCl3): δ 19.9, 55.8, 56.1, 56.4, 60.5, 60.9, 108.6, 111.4, 117.0, 120.7, 124.5, 130.4, 132.1, 139.8, 151.0, 151.0, 152.8, 154.6, 191.6.

3,6,2′,3′,4′-Pentamethoxy-6′-methyl-biphenyl-2-carbaldehyde (2a).

The hydroquinone 1a (2.15 g, 6.76 mmol) and K2CO3 (10.25 g, 74.16 mmol) were dissolved in acetone and then dimethyl sulfate (2.13 g, 16.89 mmol) was added. The mixture was stirred at reflux for 5 h, and the K2CO3 was then removed by filtration through Celite. The crude product was chromatographed on silica gel and eluted with EtOAc/n-hexane (1∶2) to yield 2a (1.88 g, 80.57%). 1H NMR (CDCl3): δ 2.03 (s, 3 H), 3.70 (s, 3 H), 3.86 (s, 3 H), 4.58 (s, OH), 6.44 (d, 1 H, J = 2.4 Hz), 6.52 (d, 1 H, J = 2.4 Hz), 6.92 (d, 1 H, J = 8.8 Hz), 7.21 (d, 1 H, J = 8.8 Hz), 9.39 (s, 1 H), 11.35 (s, OH); 13C NMR (CDCl3): δ 20.2, 55.4, 55.7, 96.5, 107.2, 110.5, 117.9, 125.2, 125.8, 140.8, 145.6, 156.8, 158.0, 159.0, 161.6, 197.0.

3,6,2′,4′-Tetramethoxy-6′-methyl-biphenyl-2-carbaldehyde (2b).

Compound 1b (8.57 mg, 29.76 mmol), K2CO3 (41 g, 296.65 mmol), and dimethyl sulfate (11.20 g, 88.80 mmol) were used with the method described for 2a to yield 2b (6.23 g, 66.28%). 1H NMR (CDCl3): δ 1.96 (s, 3 H), 3.65 (s, 3 H), 3.69 (s, 3 H), 3.83 (s, 3 H), 3.91 (s, 3 H), 6.37 (d, 1 H, J = 2.4 Hz), 6.44 (d, 1 H, J = 2.4 Hz), 6.96 (d, 1 H, J = 8.8 Hz), 7.14 (d, 1 H, J = 8.8 Hz), 9.85 (s, 1 H); 13C NMR (CDCl3): δ 20.2, 55.2, 55.7, 56.1, 56.7, 96.0, 106.4, 111.3, 115.3, 117.3, 124.7, 131.0, 138.9, 151.2, 154.3, 157.8, 160.2, 192.0.

1,4,5,6,7-Pentamethoxy-phenanthrene (3a).

Compound 2a (1.18 g, 3.41 mmol) and P4-tBu (1 M, 5.50 mL, 5.45 mmol) were placed under N2 in benzene and heated to 140°C for 29 h. The solvent was evaporated and the crude product was chromatographed on silica gel eluting with EtOAc/n-hexane (1∶2) to yield 3a (1.06 g, 95.04%). Pale yellowish gum; 1H NMR (CDCl3): δ 3.71 (s, 3 H), 3.94 (s, 3 H), 3.99 (s, 3 H), 4.00 (s, 3 H), 4.01 (s, 3 H), 6.91 (d, 1 H, J = 8.8 Hz), 6.98 (d, 1 H, J = 8.8 Hz), 7.00 (s, 1 H), 7.52 (d, 1 H, J = 8.8 Hz), 8.01 (d, 1 H, J = 8.8 Hz); 13C NMR (CDCl3): δ 56.0, 56.2, 56.5, 60.9, 61.3, 103.09, 105.8, 107.9, 116.8, 119.7, 120.6, 124.3, 126.0, 130.6, 142.2, 149.3, 151.7, 152.5, 152.7; HRESIMS m/z 351.1207 (calculated for C19H20O5Na, 351.1209).

1,4,5,7-Tetramethoxy-phenanthrene (3b).

Compound 2b (2.81 g, 8.89 mmol) and P4-tBu (1 M, 11.50 mL, 11.56 mmol) were placed under N2 in benzene and heated to 110°C for 19 h. The solvent was evaporated and the crude product was chromatographed on silica gel and eluted with EtOAc/n-hexane (1∶7) to yield 3b (3.59 g, 62.93%). Pale orange gum; 1H NMR (CDCl3): δ 3.95 (s, 3 H), 3.96 (s, 3 H), 3.98 (s, 3 H), 4.00 (s, 3 H), 6.72 (d, 1 H, J = 2.4 Hz), 6.85 (d, 1 H, J = 2.4 Hz), 6.90 (d, 1 H, J = 8.4 Hz), 7.01 (d, 1 H, J = 8.4 Hz), 7.53 (d, 1 H, J = 8.8 Hz), 8.07 (d, 1 H, J = 8.8 Hz); 13C NMR (CDCl3): δ 55.4, 55.8, 56.2, 56.3, 98.9, 99.8, 105.5, 108.3, 114.1, 120.7, 121.0, 124.3, 126.0, 135.5, 149.4, 151.5, 158.9, 159.1; ESIMS m/z 321 [M+Na]+.

5,6,7-Trimethoxy-1,4-phenanthrenequinone (4a) and 5,6,7,5′,6′,7′-hexamethoxy-[8,8′]bi-1,4-phenanthrenequinone (4c).

Compound 3a (1.46 g, 4.45 mmol) and AgO (2.20 g, 17.76 mmol) were dissolved in acetone. Oxidation was initiated by addition of 3.70 mL of 6 N HNO3. The reaction was allowed to stir at 50°C until the grey suspension disappeared (about 2–3 min). The reaction was quenched immediately with H2O and CH2Cl2. The CH2Cl2 layer was dried over Na2SO4 and chromatographed on silica gel and eluted with EtOAc/n-hexane (1∶3) to yield 4a (385.46 mg, 29.76%) and 4c (393.85 mg, 14.93%).

Data for 4a: Red solid; mp 134°C; 1H NMR (CDCl3): δ 3.96 (s, 3 H), 4.01 (s, 3 H), 4.04 (s, 3 H), 6.81 (d, 1 H, J = 10.4 Hz), 6.96 (s, 1 H), 7.05 (d, 1 H, J = 10.4 Hz), 7.86 (d, 1 H, J = 8.4 Hz), 7.97 (d, 1 H, J = 8.4 Hz); 13C NMR (CDCl3): δ 56.1, 60.9, 61.2, 102.7, 120.2, 121.4, 130.8, 131.7, 133.3, 134.7, 135.2, 140.3, 143.8, 150.3, 155.7, 184.8, 186.7; ESIMS m/z 321 [M+Na]+.

Data for 4c: Red solid; mp 100°C; 1H NMR (CDCl3): δ 3.71 (s, 6 H), 3.99 (s, 6 H), 4.19 (s, 6 H), 6.83 (d, 2 H, J = 10.0 Hz), 7.11 (d, 2 H, J = 10.0 Hz), 7.30 (d, 2 H, J = 8.4 Hz), 7.78 (d, 1 H, J = 8.4 Hz); 13C NMR (CDCl3): δ 60.8, 61.1, 61.4, 119.6, 121.5, 122.1, 130.2, 131.5, 133.7, 134.0, 135.3, 140.4, 146.9, 151.1, 154.6, 184.7, 187.0; HRESIMS m/z 617.1421 (calcd for C34H26O10Na, 617.1424).

5,7-Dimethoxy-1,4-phenanthrenequinone (4b).

Compound 3b (30.45 mg, 0.11 mmol), AgO (48.41 mg, 0.39 mmol), and 0.08 mL 6 N HNO3 were used with the method described for 4a and 4c. The crude product was chromatographed on silica gel and eluted with EtOAc/n-hexane (1∶7) to yield 4b (8.14 mg, 28.80%). Red needles; mp 121°C; 1H NMR (CDCl3): δ 3.92 (s, 3 H), 3.94 (s, 3 H), 6.69 (d, 1 H, J = 2.4 Hz), 6.76 (d, 1 H, J = 2.4 Hz), 6.78 (d, 1 H, J = 10.4 Hz), 7.03 (d, 1 H, J = 10.4 Hz), 7.85 (d, 1 H, J = 8.8 Hz), 8.01 (d, 1 H, J = 8.8 Hz); 13C NMR (CDCl3): δ 55.6, 55.9, 99.1, 101.9, 116.9, 122.6, 130.4, 131.7, 134.1, 135.0, 139.4, 140.3, 158.3, 161.1, 184.8, 186.7; ESIMS m/z 291 [M+Na]+.

3,5,6,7-Tetramethoxy-1,4-phenanthrenequinone (5a).

p-Toluenesulfonic acid (126.70 mg, 0.67 mmol) and ferric sulfate (276.31 mg, 0.69 mmol) were added into the solution of 4a (97.80 mg, 0.33 mmol) in 23 mL MeOH [14]. The mixture was heated at 70°C for 2 h and poured into water as well as extracted with CH2Cl2. The CH2Cl2 layer was dried over Na2SO4 and chromatographed on silica gel and eluted with CH2Cl2 to yield 5a (93.09 mg, 86.48%). Yellow solid; mp 174°C; 1H NMR (CDCl3): δ 3.93 (s, 3 H), 3.94 (s, 3 H), 4.01 (s, 3 H), 4.08 (s, 3 H), 6.02 (s, 1 H), 6.96 (s, 1 H), 7.87 (d, 1 H, J = 8.4 Hz), 8.00 (d, 1 H, J = 8.4 Hz); 13C NMR (CDCl3): δ 56.0, 56.5, 60.8, 61.1, 102.6, 106.3, 120.3, 121.4, 131.2, 132.1, 132.2, 134.4, 143.8, 150.1, 155.4, 163.0, 182.0, 184.7; ESIMS m/z 351 [M+Na]+.

3,5,7-Trimethoxy-1,4-phenanthrenequinone (5b) and 3,3,5,7-tetramethoxy-2,3-dihydro-1,4-phenanthrenequinone (5c).

Compound 4b (202.92 mg, 0.76 mmol), p-toluenesulfonic acid (295 mg, 1.55 mmol), ferric sulfate (618 mg, 1.55 mmol) and 40 mL MeOH were used with the method described for 5a. The crude product was chromatographed on silica gel and eluted with CH2Cl2 to yield 5b (183.71 mg, 81.42%) and 5c (11.51 mg, 4.60%).

Data for 5b: Orange solid; mp 179°C; 1H NMR (CDCl3): δ 3.92 (s, 3 H), 3.93 (s, 6 H), 5.99 (s, 1 H), 6.69 (d, 1 H, J = 2.4 Hz), 6.76 (d, 1 H, J = 2.4 Hz), 7.87 (d, 1 H, J = 8.4 Hz), 8.04 (d, 1 H, J = 8.4 Hz); 13C NMR (CDCl3): δ 55.6, 55.9, 56.5, 99.1, 101.9, 106.2, 116.9, 122.6, 130.8, 132.3, 132.7, 139.0, 158.1, 160.8, 162.9, 181.8, 184.6; ESIMS m/z 321 [M+Na]+.

Data for 5c: Pale yellowish solid; mp 149°C; 1H NMR (CDCl3): δ 3.29 (s, 2 H), 3.44 (s, 6 H), 3.92 (s, 3 H), 3.95 (s, 3 H), 6.67 (d, 1 H, J = 2.4 Hz), 6.81 (d, 1 H, J = 2.4 Hz), 7.84 (d, 1 H, J = 8.8 Hz), 7.99 (d, 1 H, J = 8.8 Hz); 13C NMR (CDCl3): δ 48.8, 50.3, 50.3, 55.6, 55.7, 99.5, 101.2, 101.5, 116.7, 123.2, 131.0, 132.3, 137.5, 139.6, 157.6, 161.4, 191.8, 196.9; HRESIMS m/z 353.0999 (calculated for C18H18O6Na, 353.1001).

3,5,6,7,3′,5′,6,7′-Octamethoxy-[8,8′]bi-1,4,1′,4′-phenanthrenequinone (5d), 3,5,6,7,3′,3′,5′,6,7′-nonamethoxy-2′3′-dihydro-[8,8′]bi-1,4,1′,4′-phenanthrenequinone (5e), and 3,5,6,7,1′,5′,6′,7′-octamethoxy-[8,8′]bi-1,4,5′,6′-phenanthrenequinone (5f).

Compound 4c (196.33 mg, 0.33 mmol), p-toluenesulfonic acid (277.8 mg, 1.46 mmol), ferric sulfate (531.90 mg, 1.33 mmol) and 20 mL MeOH were used with the method described for 5a. The crude product was chromatographed on silica gel and eluted with EtOAc/n-hexane (1∶2) to yield 5d (107.54 mg, 49.70%), 5e (33.57 mg, 14.80%) and 5f (20.32 mg, 9.40%).

Data for 5d: Orange solid; mp 268°C; 1H NMR (CDCl3): δ 3.71 (s, 6 H), 3.97 (s, 6 H), 3.98 (s, 6 H), 4.22 (s, 6 H), 6.04 (s, 2 H), 7.31 (d, 1 H, J = 8.8 Hz), 7.81 (d, 1 H, J = 8.8 Hz); 13C NMR (CDCl3): δ 56.7, 60.7, 61.1, 61.4, 106.4, 119.7, 121.5, 122.2, 130.8, 132.0, 132.4, 133.8, 146.9, 150.8, 154.3, 163.0, 182.3, 184.4; HRESIMS m/z 677.1639 (calcd for C36H30O12Na, 677.1635).

Data for 5e: Orange solid; mp 124°C; 1H NMR (CDCl3): δ 3.32 (s, 2 H), 3.50 (s, 3 H), 3.51 (s, 3 H), 3.69 (s, 3 H), 3.71 (s, 3 H), 3.96 (s, 3 H), 3.97 (s, 6 H), 4.20 (s, 3 H), 4.22 (s, 3 H), 6.04 (s, 1 H), 7.24 (d, 1 H, J = 8.8 Hz), 7.30 (d, 1 H, J = 8.8 Hz), 7.72 (d, 1 H, J = 8.8 Hz), 7.81 (d, 1 H, J = 8.8 Hz); 13C NMR (CDCl3): δ 49.0, 50.4, 50.5, 56.7, 60.5, 60.7, 60.8, 61.1, 61.2, 61.3, 101.7, 106.4, 119.6, 120.0, 121.5, 122.0, 122.2, 122.3, 129.3, 130.8, 132.0, 132.4, 133.3, 133.7, 134.1, 137.5, 146.2, 146.9, 150.3, 150.8, 154.3, 154.9, 163.0, 182.3, 184.4, 191.8, 197.7; HRESIMS m/z 709.1901 (calculated for C37H34O13Na, 709.1897).

Data for 5f: Orange solid; mp 146°C; 1H NMR (CDCl3): δ 3.69 (s, 3 H), 3.70 (s, 3 H), 3.96 (s, 3 H), 3.97 (s, 3 H), 3.98 (s, 3 H), 3.99 (s, 3 H), 4.19 (s, 3 H), 4.22 (s, 3 H), 5.87 (s, 1 H), 6.04 (s, 1 H), 7.27 (d, 1 H, J = 8.8 Hz), 7.32 (d, 1 H, J = 8.8 Hz), 7.61 (d, 1 H, J = 8.8 Hz), 7.82 (d, 1 H, J = 8.8 Hz); 13C NMR (CDCl3): δ 56.7, 57.1, 60.7, 61.1, 61.2, 61.3, 101.3, 106.5, 119.5, 119.7, 120.4, 121.5, 122.1, 124.2, 130.9, 131.1, 131.8, 132.0, 132.4, 132.5, 132.7, 133.8, 146.9, 147.0, 150.5, 150.8, 154.0, 154.3, 163.0, 169.2, 182.3, 184.4, 185.0, 186.7; HRESIMS m/z 677.1639 (calculated for C36H30O12Na, 677.1635).

5-Hydroxy-3,6,7-trimethoxy-1,4-phenanthrenequinone; calanquinone A (6a).

Compound 5a (115.02 mg, 0.35 mmol) was dissolved in 5 mL CH2Cl2 and iodotrimethylsilane (112.23 mg, 0.56 mmol) was added to the solution in portions. The mixture was stirred at 60°C overnight (TLC monitoring) and then MeOH was added to quench the reaction. The solvent was evaporated and the residue extracted with Et2O/H2O. The Et2O layer was dried over Na2SO4. The mixture was chromatographed on silica gel and eluted with EtOAc/n-hexane (1∶2) to yield 6a (15.72 mg, 14.28%). Black solid; mp 187°C; 1H NMR (CDCl3): δ 3.96 (s, 3 H), 4.01 (s, 3 H), 4.02 (s, 3 H), 6.14 (s, 1 H), 6.85 (s, 1 H), 8.03 (d, 1 H, J = 8.4 Hz), 8.08 (d, 1 H, J = 8.4 Hz), 10.73 (s, OH); 13C NMR (CDCl3): δ 55.9, 56.9, 60.8, 101.2, 107.2, 118.5, 121.7, 128.1, 132.8, 134.8, 136.9, 140.1, 148.1, 155.0, 161.5, 184.4, 186.0; HRESIMS m/z 313.0648 (calculated for C17H14O6 -H, 313.0712).

5-Hydroxy-3,7-dimethoxy-1,4-phenanthrenequinone; denbinobin (6b).

Compound 5b (67.56 mg, 0.23 mmol) and iodotrimethylsilane were used with the method described for 6a. The crude product was chromatographed on silica gel and eluted with CH2Cl2 to yield 6b (6.0 mg, 10%). Black solid; mp 215°C [21]; 1H NMR (CDCl3): δ 3.93 (s, 3 H), 3.96 (s, 3 H), 6.15 (s, 1 H), 6.82 (d, 1 H, J = 2.8 Hz), 6.93 (d, 1 H, J = 2.8 Hz), 8.06 (d, 1 H, J = 8.8 Hz), 8.12 (d, 1 H, J = 8.8 Hz), 11.00 (s, OH); 13C NMR (CDCl3): δ 55.5, 56.9, 101.8, 107.3, 108.7, 117.2, 122.6, 128.6, 132.4, 137.4, 139.9, 156.4, 160.8, 161.2, 184.4, 186.5; HRESIMS m/z 307.0584 (calculated for C16H12O5 Na, 307.0582).

5-Acetoxy-3,6,7-trimethoxy-1,4-phenanthrenequinone (7a) and 5-acetoxy-3,7-dimethoxy-1,4-phenanthrenequinone (7b).

Compounds 6a (3.29 mg, 0.01 mmol) and 6b (2.03 mg, 0.007 mmol) were each dissolved in pyridine and excess Ac2O was added to the two solutions. The mixture was stirred at RT overnight and the pyridine was evaporated. The crude material was chromatographed on silica gel and eluted with EtOAc/n-hexane (1∶2) to afford 7a (4.65 mg, 124.66%) and 7b (2.80 mg, 120.10%), respectively.

Data for 7a: Yellow green solid; mp 196°C; 1H NMR (CDCl3): δ 2.36 (s, 3 H), 3.93 (s, 3 H), 3.99 (s, 3 H), 4.03 (s, 3 H), 6.05 (s, 1 H), 7.15 (s, 1 H), 7.97 (d, 1 H, J = 8.8 Hz), 8.07 (d, 1 H, J = 8.8 Hz); 13C NMR (CDCl3): δ 20.8, 56.0, 56.6, 60.8, 106.0, 106.4, 119.4, 121.6, 130.2, 132.1, 133.1, 134.1, 139.7, 144.2, 154.9, 162.7, 168.4, 181.8, 184.4; HRESIMS m/z 379.0791 (calculated for C19H16O7Na, 379.0794).

Data for 7b: Yellow solid; mp 201°C; 1H NMR (CDCl3): δ 2.32 (s, 3 H), 3.93 (s, 3 H), 3.96 (s, 3 H), 6.06 (s, 1 H), 7.10 (d, 1 H, J = 2.4 Hz), 7.15 (d, 1 H, J = 2.4 Hz), 8.00 (d, 1 H, J = 8.4 Hz), 8.11 (d, 1 H, J = 8.4 Hz); 13C NMR (CDCl3): δ 21.1, 55.8, 56.6, 105.3, 106.5, 116.3, 118.2, 122.6, 131.0, 131.6, 133.3, 138.8, 148.0, 159.6, 162.5, 168.8, 181.9, 184.4; HRESIMS m/z 349.0686 (calculated for C18H14O6Na, 349.0688).

5,6-Dihydroxy-1,4,7-trimethoxy-phenanthrene (8a) and 5-hydroxy-1,4,6,7-tetramethoxy-phenanthrene (9a).

Compound 3a (109.39 mg, 0.33 mmol) was dissolved in benzene, and AlCl3 (987 mg, 7.40 mmol) was added to the solution in portions. The mixture was stirred at 70°C overnight (TLC monitoring) and poured into 50 mL of ice-water along with 5 mL concentrated hydrochloric acid [14]. The suspension was extracted with CH2Cl2 and dried over Na2SO4. The crude material was chromatographed on silica gel and eluted with EtOAc/n-hexane (1∶2) to yield 8a (44.49 mg, 44.47%) and 9a (9.33 mg, 8.91%).

Data for 8a: Pale brownish solid; mp 116°C; 1H NMR (CDCl3): δ 3.94 (s, 3 H), 4.01 (s, 3 H), 4.06 (s, 3 H), 6.33 (s, OH), 6.95 (d, 1 H, J = 8.4 Hz), 6.98 (s, 1 H), 7.20 (d, 1 H, J = 8.4 Hz), 7.60 (d, 1 H, J = 9.6 Hz), 8.03 (d, 1 H, J = 9.6 Hz), 10.77 (s, OH); 13C NMR (CDCl3): δ 56.0, 56.1, 60.7, 101.6, 105.3, 113.2, 113.5, 117.8, 121.0, 124.7, 127.6, 127.7, 135.3, 140.6, 147.7, 147.8, 152.0; HRESIMS m/z 323.0894 (calculated for C17H17O5Na, 323.0895).

Data for 9a: Pale yellowish solid; mp 124°C; 1H NMR (CDCl3): δ 3.94 (s, 3 H), 3.99 (s, 3 H), 4.01 (s, 3 H), 4.03 (s, 3 H), 6.93 (s, 1 H), 6.96 (d, 1 H, J = 8.4 Hz), 7.21 (d, 1 H, J = 8.4 Hz), 7.59 (d, 1 H, J = 9 Hz), 8.10 (d, 1 H, J = 9 Hz), 10.52 (s, OH); 13C NMR (CDCl3): δ 55.8, 56.2, 60.3, 60.8, 101.1, 105.4, 113.7, 114.2, 119.4, 121.6, 124.5, 127.5, 131.1, 137.9, 147.7, 149.0, 151.9, 153.2; HRESIMS m/z 337.1054 (calculated for C18H18O5Na, 337.1052).

4-Hydroxy-1,5,7-trimethoxy-phenanthrene (8b) and 5-hydroxy-1,4,7-trimethoxy-phenanthrene (9b).

Compound 3b (91.65 mg, 0.32 mmol), AlCl3 (509.60 mg, 3.82 mmol), and benzene were used with the method described for 8a and 9a. The crude was chromatographed on silica gel and eluted with EtOAc/n-hexane (1∶7) to yield 8b (20.00 mg, 22.77%) and 9b (22.00 mg, 24.9%).

Data for 8b: Pale brownish solid; mp 71°C; 1H NMR (CDCl3): δ 3.97 (s, 3 H), 3.99 (s, 3 H), 4.06 (s, 3 H), 6.85 (d, 1 H, J = 2.4 Hz), 7.00 (d, 1 H, J = 8.8 Hz), 7.01 (d, 1 H, J = 2.4 Hz), 7.16 (d, 1 H, J = 8.8 Hz), 7.55 (d, 1 H, J = 8.8 Hz), 8.21 (d, 1 H, J = 8.8 Hz), 9.12 (s, OH); 13C NMR (CDCl3): δ 55.6, 56.4, 58.2, 101.6, 103.4, 107.6, 114.3, 115.6, 119.8, 122.3, 124.1, 125.7, 136.2, 147.5, 149.1, 155.5, 158.3; HRESIMS m/z 307.0948 (calculated for C17H16O4Na, 307.0946).

Data for 9b: Pale brownish solid; mp 70°C; 1H NMR (CDCl3): δ 3.92 (s, 3 H), 3.94 (s, 3 H), 4.00 (s, 3 H), 6.89 (d, 1 H, J = 2.8 Hz), 6.92 (d, 1 H, J = 2.8 Hz), 6.94 (d, 1 H, J = 8.8 Hz), 7.20 (d, 1 H, J = 8.8 Hz), 7.61 (d, 1 H, J = 8.8 Hz), 8.13 (d, 1 H, J = 8.8Hz), 10.38 (s, OH); 13C NMR (CDCl3): δ 55.3, 56.1, 60.4, 102.5, 104.7, 105.4, 113.1, 114.2, 120.4, 121.8, 124.3, 127.8, 136.4, 147.6, 151.9, 156.4, 159.3; HRESIMS m/z 307.0947 (calculated for C17H16O4Na, 307.0946).

Supporting Information

Figure S1.

Pharmacophore of run 19 maps with 6a.

https://doi.org/10.1371/journal.pone.0037897.s001

(TIF)

Table S1.

The different parameters employed in each run.

https://doi.org/10.1371/journal.pone.0037897.s002

(DOC)

Table S2.

The pharmacophore results of the best hypothesis in each run.

https://doi.org/10.1371/journal.pone.0037897.s003

(DOC)

Table S3.

Experimental and predictive values of the compounds in the pharmacophore model.

https://doi.org/10.1371/journal.pone.0037897.s004

(DOC)

Table S4.

The values of molecular properties used to describe the effects of molecular solubility and transportation.

https://doi.org/10.1371/journal.pone.0037897.s005

(DOC)

Text S1.

Pharmacophore built with Catalyst HypoGen.

https://doi.org/10.1371/journal.pone.0037897.s006

(DOC)

Acknowledgments

We are grateful to the National Center for High-performance Computing for computer time and facilities and also thank the Center for Resources, Research and Development of Kaohsiung Medical University for the ChemBioOffice technical supports.

Author Contributions

Conceived and designed the experiments: CLL FRC YCW. Performed the experiments: CLL GYC AB JCY SLC. Analyzed the data: CLL YTL GYC AB JCY. Contributed reagents/materials/analysis tools: CLL FRC GYC AB JCY YCW. Wrote the paper: CLL YTL.

References

  1. 1. Kovács A, Vasas A, Hohmann J (2008) Natural phenanthrenes and their biological activity. Phytochemistry 69: 1084–1110.
  2. 2. Lee CL, Chang FR, Yen MH, Yu D, Liu YN, et al. (2009) Cytotoxic phenanthrenequinones and 9,10-dihydrophenanthrenes from Calanthe arisanensis. J Nat Prod 72: 210–213.
  3. 3. Lee CL, Nakagawa-Goto K, Yu D, Liu YN, Bastow KF, et al. (2008) Cytotoxic calanquinone A from Calanthe arisanensis and its first total synthesis. Bioorg Med Chem Lett 18: 4275–4277.
  4. 4. Yang KC, Uen YH, Suk FM, Liang YC, Wang YJ, et al. (2005) Molecular mechanisms of denbinobin-induced anti-tumorigenesis effect in colon cancer cells. World J Gastroenterol 11: 3040–3045.
  5. 5. Chen TH, Pan SL, Guh JH, Chen CC, Huang YT, et al. (2008) Denbinobin induces apoptosis by apoptosis-inducing factor releasing and DNA damage in human colorectal cancer HCT-116 cells. Naunyn-Schmied Arch Pharmacol 378: 447–457.
  6. 6. Kuo CT, Hsu MJ, Chen BC, Chen CC, Teng CM, et al. (2008) Denbinobin induces apoptosis in human hung adenocarcinoma cells via Akt inactivation, Bad activation, and mitochondrial dysfunction. Toxicol Lett 177: 48–58.
  7. 7. Kuo CT, Chen BC, Yu CC, Weng CM, Hsu MJ, et al. (2009) Apoptosis signal-regulating kinase I mediates denbinobin-induced apoptosis in human lung adenocarcinoma cells. J Biomed Sci 16: 43–57.
  8. 8. Huang YC, Guh JH, Teng CM (2005) Denbinobin-mediated anticancer effect in human K562 leukemia cells: role in tubulin polymerization and Bcr-Ab1 activity. J Biomed Sci 12: 113–121.
  9. 9. Sánchez-Duffhues G, Calzado MA, García de Vinuesa A, Appendino G, Fiebich BL, et al. (2009) Denbinobin inhibits nuclear factor-κB and induces apoptosis via reactive oxygen species generation in human leukemic cells. Biochem Pharmacol 77: 1401–1409.
  10. 10. Magwere T (2009) Escaping immune surveillance in cancer: is denbinobin the panacea? British J Pharmacol 157: 1172–1174.
  11. 11. Yang CR, Guh JH, Teng CM, Chen CC, Chen PH (2009) Combined treatment with denbinobin and Fas ligand has a synergistic cytotoxic effect in human pancreatic adenocarcinoma BxPC-3 cells. British J Pharmacol 157: 1175–1185.
  12. 12. Kraus GA, Hoover K, Zhang N (2002) Synthesis of phenanthrenes from formylbenzoquinone. Tetrahedron Lett 43: 5319–5321.
  13. 13. Kraus GA, Zhang N (2002) A direct synthesis of denbinobin. Tetrahedron Lett 43: 9597–9599.
  14. 14. Fariña F, Molina MT, Paredes MC (1986) Regiospecific addition of alcohols to 9-hydroxy- and 9-methoxy-1,4-anthraquinone. Synth Commun 16: 1015–1027.
  15. 15. Larsson J, Gottfries J, Muresan S, Backlund A (2007) ChemGPS-NP: Tuned for navigation in biologically relevant chemical space. J Nat Prod 70: 789–794.
  16. 16. Rosén J, Rickardson L, Backlund A, Gullbo J, Bohlin L, et al. (2009) ChemGPS-NP mapping of chemical compounds for prediction of anticancer mode of action. QSAR Comb Sc 28: 436–446.
  17. 17. Lindsey RHJ, Bromberg KD, Felix CA, Osheroff N (2004) 1,4-Benzoquinone is a topoisomerase II poison. Biochemistry 43: 7563–7574.
  18. 18. Mosmann T (1983) Rapid colorimetric assay for cellular growth and survival: application to proliferation and cytotoxicity assays. J Immunol Methods 65: 55–63.
  19. 19. Chen CYC (2009) Pharmacoinformatics approach for mPGES-1 in anti-inflammation by 3D-QSAR pharmacophore mapping. J Taiwan Inst Chem Engrs 40: 155–161.
  20. 20. Sadiq AA, Patel MR, Jacobson BA, Escobedo M, Ellis K, et al. (2010) Anti-proliferative effects of simocyclinone D8 (SD8), a novel catalytic inhibitor of topoisomerase II. Invest New Drugs 28: 20–25.
  21. 21. Krohn K, Loock U, Paavilainen K, Hausen B, Schmalle HW, et al. (2001) Synthesis and electrochemistry of annoquinone-A, cypripedin methyl ether, denbinobin and related 1,4-phenanthrenequinones. ARKIVOC I: 88–130.