Antimitotics that target tubulin are among the most useful chemotherapeutic drugs, but their clinical activity is often limited by the development of multidrug resistance. We recently discovered the novel small-molecule DJ101 as a potent and metabolically stable tubulin inhibitor that can circumvent the drug efflux pumps responsible for multidrug resistance of existing tubulin inhibitors. In this study, we determined the mechanism of action of this drug. The basis for its activity was illuminated by solving the crystal structure of DJ101 in complex with tubulin at a resolution of 2.8Å. Investigations of the potency of DJ101 in a panel of human metastatic melanoma cell lines harboring major clinically relevant mutations defined IC50 values of 7–10 nmol/L. In cells, DJ101 disrupted microtubule networks, suppressed anchorage-dependent melanoma colony formation, and impaired cancer cell migration. In melanoma-bearing mice, DJ101 administration inhibited tumor growth and reduced lung metastasis in the absence of observable toxicity. DJ101 also completely inhibited tumor growth in a paclitaxel-resistant xenograft mouse model of human prostate cancer (PC-3/TxR), where paclitaxel was minimally effective. Our findings offer preclinical proof of concept for the continued development of DJ101 as a next-generation tubulin inhibitor for cancer therapy.

Significance: These findings offer preclinical proof of concept for the continued development of DJ101 as a next-generation antitubulin drug for cancer therapy. Cancer Res; 78(1); 265–77. ©2017 AACR.

Microtubules are components of the cytoskeleton that are involved in a multitude of essential cellular functions including mitosis, maintenance of cell shape, intracellular transport, motility, and cell signaling (1). They are composed of α- and β-tubulin heterodimers that readily polymerize and depolymerize in cells. Tubulin polymerization dynamics is an attractive cancer drug target (2). Tubulin inhibitors are generally classified as microtubule-stabilizing or -destabilizing agents based on whether they promote tubulin polymerization or depolymerization. FDA-approved stabilizing agents targeting the taxane -binding site (e.g., paclitaxel, docetaxel, and epothilones) and destabilizing agents targeting the vinca alkaloid binding site (e.g., vinblastine, vincristine, and vinorelbine) are already available for clinical use, while compounds targeting the colchicine binding site (e.g., CA-4P) are being evaluated in preclinical studies (3–6). However, the clinical efficacy of the taxanes and vinca alkaloids is often limited by ATP-binding cassette (ABC) transporter mediated drug efflux pumps, including P-glycoprotein (P-gp), breast cancer–resistant proteins (BCRP), and multidrug-resistant proteins (MRP1 or MRP2; refs. 3, 7–9). Tumor cells exhibiting overexpression of the class III β-tubulin isoform also demonstrate resistance to these agents (10–12). Extensive literature reports indicate that compounds interacting with the colchicine binding site are much less sensitive to these clinically observed mechanisms of resistance (13), suggesting that the development of anti-tubulin agents targeting the colchicine-binding site can overcome limitations associated with existing tubulin inhibitors and improve clinical outcome.

While colchicine itself is an approved drug for gout, it is not approved for cancer therapy due to its toxic side effects which include neutropenia, gastrointestinal upset, bone marrow damage, and anemia (14). Other compounds targeting the colchicine site have been developed and many of them have been or are currently being evaluated in clinical trials for cancer. We previously reported the discovery of diaryl-ketone chemotypes, including a phenyl ring as linker (I-387; ref. 15), 4-substituted methoxybenozyl aryl thiazoles (SMART; ref. 16), phenylaminothiazoles (PAT; ref. 17), arylbenzoylimidazoles (ABI; ref. 9), and reverse arylbenzoylimidazoles (RABI; ref. 18) that interfere with tubulin polymerization by binding to the colchicine domain. While these compounds displayed potent anticancer activity in a number of human melanoma and prostate cancer xenograft models, the ketone moiety in their structure presented a metabolically labile site (19). Further structural optimization to incorporate this metabolic soft spot into a stable ring produced a novel class of indolyl-imidazopyridines (IIP), with DJ101 (structure shown in Fig. 1A) identified as the lead compound (20, 21). DJ101 not only possessed excellent metabolic stability as we designed, it also showed improved anticancer potency and effectiveness in overcoming P-gp–mediated multidrug resistance (MDR) and a number of additional mechanisms responsible for paclitaxel resistance (21–23).

Figure 1.

X-ray crystal structure of DJ101 in complex with tubulin and molecular interactions between DJ101 and tubulin proteins. A, Chemical structure of DJ101. B, Surface representation of the overall structure of α-tubulin and β-tubulin. α-Tubulin is shown in black and β-tubulin is in gray. DJ101 (D01) is marked with the red circle and is shown in sphere representation (cyan). C, Detailed molecular interactions between the DJ101 molecule (cyan sticks) and the tubulin dimer (gray cartoon). Hydrogen bonds are indicated with black dashed lines. D, Superimposition of the binding sites for DJ101–tubulin complex (5H7O) with colchicine–tubulin complex (4O2B). DJ101 molecule is shown in cyan and colchicine is shown in yellow.

Figure 1.

X-ray crystal structure of DJ101 in complex with tubulin and molecular interactions between DJ101 and tubulin proteins. A, Chemical structure of DJ101. B, Surface representation of the overall structure of α-tubulin and β-tubulin. α-Tubulin is shown in black and β-tubulin is in gray. DJ101 (D01) is marked with the red circle and is shown in sphere representation (cyan). C, Detailed molecular interactions between the DJ101 molecule (cyan sticks) and the tubulin dimer (gray cartoon). Hydrogen bonds are indicated with black dashed lines. D, Superimposition of the binding sites for DJ101–tubulin complex (5H7O) with colchicine–tubulin complex (4O2B). DJ101 molecule is shown in cyan and colchicine is shown in yellow.

Close modal

To further preclinically evaluate DJ101 and develop it as the first member of this new generation of tubulin inhibitors, we describe our efforts in this report to determine its molecular interactions by obtaining the high-resolution crystal structure of DJ101 in complex with tubulin proteins; demonstrate the broad in vitro potency of DJ101 against a diverse panel of cancer cell lines; confirm its mechanism of action by examining its effects on microtubule morphology, cell migration, and clonogenic potential; evaluate its preclinical efficacy in suppressing melanoma tumor growth and metastasis using melanoma mouse models; show that DJ101 possesses a good safety profile with off-target primary screening, which suggested it may have negligible off-target effects for major physiologically important targets; and finally, demonstrate its efficacy in vivo for overcoming resistance using parental PC-3 and paclitaxel-resistant PC-3/TxR xenograft models.

Cell culture and reagents

Human melanoma cell lines A375, SK-MEL-1, RPMI 7951, and WM-115 (ATCC) were cultured in DMEM supplemented with 10% (v/v) FBS (Atlanta Biologicals) and 1% antibiotic/antimycotic mixture (Sigma-Aldrich). Murine melanoma B16F10 cells (ATCC) were cultured in minimum essential medium (Invitrogen), supplemented with 5% heat-inactivated Hyclone FBS (Thermo Scientific), 1% antibiotic/antimycotic mixture (Sigma-Aldrich), 1% MEM-sodium pyruvate (Invitrogen), 1% MEM-vitamin (Invitrogen), l-glutamine (2 mmol/L final concentration; Invitrogen), and 1% MEM NEAA (Invitrogen). Parental prostate cancer PC-3, its paclitaxel-resistant daughter line PC-3/TxR, parental prostate cancer DU-145, and its docetaxel-resistant daughter line DU-145/TxR were gifts from Dr. Evan Keller at the University of Michigan Medical School (Ann Arbor, MI). PC-3 and DU-145 cell lines were cultured in RPMI1640 media (Gibco by Life Technologies) supplemented with 10% (v/v) FBS (Atlanta Biologicals) and 1% antibiotic/antimycotic mixture (Sigma-Aldrich). Taxane-resistant PC-3/TxR and DU-145/TxR cell lines were cultured in the same media and additionally supplemented with 10 nmol/L paclitaxel or docetaxel, respectively. Paclitaxel or docetaxel was not included in the media for PC-3/TxR or DU-145/TxR for at least one week prior to in vitro and in vivo testing. All cell lines were authenticated by ATCC by short tandem repeat profiling. Cultures were maintained to 80%–90% confluency at 37°C in a humidified atmosphere containing 5% CO2. Compounds were dissolved in dimethyl sulfoxide (DMSO; Sigma-Aldrich) to make a stock solution of 20 mmol/L. Compound solutions were freshly prepared by diluting stocks with cell culture medium before use.

Protein purification and crystallization

The clones of the stathmin-like domain of RB3 and TTL were generous gifts provided by Dr. Benoît Gigant (CNRS, France) and Dr. Michel O. Steinmetz (PSI, Switzerland). The expression and purification of proteins were described previously (5, 24, 25). The method of vapor diffusion was applied to generate crystals of T2R-TTL, following the detailed procedure which was reported previously (24, 26, 27). The compound DJ101 was dissolved in DMSO to 10 mmol/L concentration. A small amount of DJ101 solution (0.1 μL) was soaked into crystals under microscope, and the soaked crystals were transferred into an incubator. After overnight incubation at 20°C, the soaked crystals were flash cooled in liquid nitrogen for data collection.

X-ray data collection, structure solution, refinement, and analysis

X-ray diffraction data were collected at beamline BL19U1 at SSRF (The Shanghai Synchrotron Radiation Facility, National Center for Protein Science Shanghai, Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, China). The native dataset was collected at a wavelength of 0.97853 Å using MX225 CCD detector. Data were indexed, integrated, and scaled using the program HKL2000. The initial phase was determined by molecular replacement using the apo structure T2R-TTL (PDB code: 4I55) as the searching model. The model was further built manually with COOT and refined with Refmac5. The quality of the final model was checked by PROCHECK and showed good stereochemistry according to the Ramachandran plot (28, 29). The data collection and refinement statistics are summarized in Table 1. PyMol was used to generate all the figures.

Table 1.

Crystallographic data and structure refinement statistics

LigandD01(PDB Code: 5H7O)
X-ray source SSRF-BL19U1 
Data collection 
 Wavelength (Å) 0.97853 
 Resolution range (Å) 50–2.80 (2.85–2.80)a 
 Space group P 212121 
 Unit cell (Å, °) 105.2, 157.0, 182.6 
 Total reflections 503678 
 Unique reflections 75002 
 Multiplicity 6.7 (6.3) 
 Completeness (%) 100 (100) 
 Mean I/sigma (I) 19.3 (3.0) 
 Rmerge 0.109 (0.576) 
Structure refinement 
 R-factor/R-freeb 0.2174/0.2567 
 RMS (bonds) 0.007 
 RMS (angles) 1.205 
 No. of atoms 17520 
 Macromolecules 17435 
 Ligand 60 
 Waters 25 
 Average B-factor 55.92 
 Macromolecules 55.91 
 Ligands (TAJ) 62.6 
 Waters 44.0 
Ramachandran plot statistics 
 Most favored regions (%) 92.3 
 Allowed regions (%) 7.5 
 Generously allowed regions (%) 0.2 
 Disallowed regions (%) 0.0 
LigandD01(PDB Code: 5H7O)
X-ray source SSRF-BL19U1 
Data collection 
 Wavelength (Å) 0.97853 
 Resolution range (Å) 50–2.80 (2.85–2.80)a 
 Space group P 212121 
 Unit cell (Å, °) 105.2, 157.0, 182.6 
 Total reflections 503678 
 Unique reflections 75002 
 Multiplicity 6.7 (6.3) 
 Completeness (%) 100 (100) 
 Mean I/sigma (I) 19.3 (3.0) 
 Rmerge 0.109 (0.576) 
Structure refinement 
 R-factor/R-freeb 0.2174/0.2567 
 RMS (bonds) 0.007 
 RMS (angles) 1.205 
 No. of atoms 17520 
 Macromolecules 17435 
 Ligand 60 
 Waters 25 
 Average B-factor 55.92 
 Macromolecules 55.91 
 Ligands (TAJ) 62.6 
 Waters 44.0 
Ramachandran plot statistics 
 Most favored regions (%) 92.3 
 Allowed regions (%) 7.5 
 Generously allowed regions (%) 0.2 
 Disallowed regions (%) 0.0 

aThe values for the data in the highest resolution shell are shown in parentheses.

bRfree = ∑Test||Fobs| − |Fcalc||/∑Test |Fobs|, where “Test” is a test set of about 5% of the total reflections randomly chosen and set aside prior to refinement for the structure

Cytotoxicity assay

A375, RPMI7951, WM115, SK-MEL-1, PC-3, DU-145, PC-3/TxR, and DU-145/TxR cells were seeded in 96-well plates at a concentration of 1,000–5,000 cells per well, depending on growth rate of the cell line. After overnight incubation, the media was replaced and cells were treated with the test compounds at ten concentrations ranging from 0.03 nmol/L to 1 μmol/L plus a vehicle (DMSO) control for 72 hours in four replicates. Following treatment, the MTS reagent (Promega) was added to the cells and incubated in dark at 37°C for at least 1 hour. Absorbance at 490 nm was measured using a plate reader (BioTek Instraments Inc.). IC50 values were calculated by nonlinear regression analysis using GraphPad Prism (GraphPad Software). In addition, DJ101 was evaluated at five concentrations on the NCI-60 cell line panel by the National Cancer Institute Developmental Therapeutics Program (NCI/DTP).

Microtubule imaging using immunofluorescence microscopy

A375 and RPMI7951 cells were seeded on glass coverslips in 6-well plates (5 × 105 cells/well) and incubated overnight. Cells were treated with specified concentrations of DJ101, docetaxel, or vehicle (DMSO) control for 18 hours. Microtubules were visualized after incubating with anti-α-tubulin antibody (Thermo Scientific) and Alexa Fluor 647 goat anti-mouse IgG (Molecular Probes). The coverslips were mounted with Prolong Diamond Antifade mounting media with DAPI (Invitrogen) and images acquired with a Zeiss 710 Confocal microscope and Zen imaging software (Zeiss).

Colony-forming assay

A375 and RPMI7951 cells were seeded in 6-well plates (500 cells/well) in replicates of four and incubated at 37°C overnight. Cells were treated with the compound or equivalent vehicle (DMSO) control and incubated for another week. Cells were then fixed with methanol and stained with 0.5% crystal violet. Images were taken and colony area was quantified with ImageJ software (NIH, Bethesda, MD).

Scratch migration assay

A375 and RPMI7951 cells were seeded in 24-well plates (2 × 105 cells/well) in replicates of four and incubated overnight. Using a 200-μL pipette tip, a straight line was scratched through the cell monolayer to remove an area of cells, and cells were washed several times to remove any debris and uprooted cells. Media was replaced with media containing vehicle (DMSO), 25 nmol/L of DJ101, or 25 nmol/L colchicine. Images were obtained after 0, 12, and 24 hours with Evos Fl Imaging System (Life Technologies). Analysis was performed with ImageJ software (NIH, Bethesda, MD).

In vivo xenograft models and treatments

All animal experiments were performed in accordance with the NIH animal use guidelines and protocols approved by the Institutional Animal Care and Use Committee (IACUC) at the University of Tennessee Health Science Center (UTHSC, Memphis, TN). We first estimated the acute maximum tolerable dose (MTD) for DJ101 formulated in PEG300. By progressively increasing injection doses via intraperitoneal route to ICR mice (two mice in a group; Evigo Corporation), the MTD was estimated to be at least 65 mg/kg. To ensure a safety margin during the repeated treatment, the maximum dose was scaled down to 30 mg/kg in the animal experiments.

Nude mice, 6–8 weeks old, were purchased from Evigo. Logarithmic growth phase A375, PC-3, or PC-3/TxR (5 × 107 cells per mL) cells were prepared in phenyl red-free, FBS-free media and mixed with Matrigel immediately before injection into mice. Tumors were established by injecting 100 μL of this mixture subcutaneously in the dorsal flank of each mouse (2.5 × 106 cells). After 2 weeks, mice were randomly divided into control or treatment groups. DJ101 or paclitaxel was dissolved in a 1:1 ratio of PEG300:PBS solution to produce desired concentrations. The vehicle control solution was formulated with equal parts PEG300 and PBS only. Doses (100 μL) of the drug treatment or vehicle control were administered via intraperitoneal injection every other day for the duration of the studies.

Tumor volume was measured three times a week with a caliper and calculated using the formula a × b2 × 0.5, where a and b represented the larger and smaller diameters, respectively. Tumor growth inhibition (TGI) at the conclusion of the experiments was calculated as 100 – 100 × ((T − T0)/(C − C0)), where T, T0, C, and C0 are the mean tumor volume for the specific group on the last day of treatment, mean tumor volume of the same group on the first day of treatment, mean tumor volume for the vehicle control group on the last day of treatment, and mean tumor volume for the vehicle control group on the first day of treatment, respectively (30). Animal activity and body weights were monitored during the entire experiment period to assess potential acute toxicity. At the end of the experiment, mice were sacrificed and the tumors and tissues were dissected out and fixed in 10% buffered formalin phosphate solution prior to pathology staining analysis.

In vivo B16F10 melanoma lung metastasis model and treatment

C57BL/6 mice from Charles River Laboratories International, Inc., age 7–8 weeks old, were used to study the inhibition effect of DJ101 on lung metastasis of melanoma cells.

Murine B16F10 melanoma cells growing in a logarithmic growth phase were suspended in the conditioned media at a density of 1 × 106 per mL. Each mouse was inoculated with the tumor cells (100 μL containing 1 × 105 cells) via the lateral tail vein. The treatment started on the third day after the inoculation to ensure the initiation of metastasis before beginning treatment. DJ101 (30 mg/kg) and vehicle were formulated as described above. Doses (100 μL) of DJ101 or vehicle solution were administered via intraperitoneal injection every other day for 2 weeks. Animal activity and body weights were monitored during the entire experiment period to assess acute toxicity. Mice were sacrificed 15 days after the initiation of the experiment, and the lungs were separated, expanded, and preserved in 10% neutral buffered formalin. The number of lung metastasis nodules was recorded. Major organs were also preserved in the same manner for subsequent toxicologic examination.

Histology and IHC

Fixed tumor xenograft tissues were embedded in paraffin. Serial sections were obtained and stained with hematoxylin and eosin (H&E) and IHC. Staining was performed with rabbit anti-cleaved caspase-3 antibody (Cell Signaling Technology Inc.) and rabbit anti-CD31 (Cell Signaling Technology Inc.) following ABC-DAB methods. Antigen retrieval was performed with H-3300 antigen unmasking solution (Vector Laboratories). Microscopic images were captured with a digital camera at ×20 magnification. Twenty to thirty images from each section were analyzed. Pathologic tissue sections from major organs (heart, liver, kidney, lung and spleen) were examined similarly to identify any potential drug-related effects. Images were obtained with EVOS XL Core microscope (Life Technologies).

In vitro pharmacologic profiling to assess potential off-target effects

Assessment of potentially significant off-target effects of DJ101 to 47 major physiologically important targets was performed by DiscoverX (DiscoverX Corporation) in 78 assays using its Safety47 Panel and standard protocols. DJ101 was assayed at 1 μmol/L concentrations, representing at least 100× the IC50 value as determined in melanoma cell lines by the current and our earlier studies for DJ101 (21).

Statistical analysis

Data was analyzed using Prism Software 5.0 (GraphPad Software, Inc.). Data were provided as mean ± SEM unless otherwise indicated. The statistical significance (P < 0.05) was calculated by one-way ANOVA followed by Dunnett multiple comparison test, comparing each treated group to the corresponding control group for the in vitro colony and migration assays and the in vivo xenograft studies. An unpaired Student t test was used to calculate significance for the lung metastasis study.

DJ101 interacts at the colchicine-binding site on tubulin

We previously reported the design and synthesis of DJ101 (structure shown in Fig. 1A; ref. 21) and a number of potent tubulin inhibitors related to this scaffold (9, 16, 18). While mechanistic studies suggested that these molecules produce their antitumor activities by interacting with the colchicine-binding site in tubulin, the detailed molecular interactions have not previously been fully elucidated. Recently, high-resolution (<3.0 Å) crystal structures of tubulin in complex with several known colchicine site inhibitors were reported (26, 27). Using these newly established procedures, we obtained the high-resolution X-ray crystal structure of DJ101 in complex with αβ-tubulin (deposited to the Protein Databank with PDB code: 5H7O, resolution 2.8 Å). The X-ray parameters and the crystal structure information are summarized in Table 1. This high-resolution crystal structure confirms the direct binding of DJ101 in the colchicine-binding site (Fig. 1B). DJ101 forms three hydrogen bonds with the αβ-tubulin dimer: one hydrogen bond from T179 in loop five in the α-monomer to the imidazole nitrogen, one hydrogen bond from N349 in loop nine in the β-monomer to the indole nitrogen, and one hydrogen bond between the oxygen of the 4-methoxyl moiety and the thiol moiety in C241 in helix seven of the β-monomer (Fig. 1C). A tight hydrophobic “sandwich” formed by sidechains from C241, L255, L248, and N258 wraps the trimethoxyphenyl and the imidazopyridine moieties firmly in the colchicine-binding domain. In addition, the sidechain M259 in helix eight of the β-monomer serves as a “wedge” between sheet 9 and DJ101 to lock its curved conformation (Fig. 1C). It is also evident that DJ101 overlaps with colchicine at its binding site (Fig. 1D). These results provide the first direct evidence of DJ101′s direct interaction with the colchicine-binding site in tubulin to inhibit tubulin polymerization.

DJ101 potently inhibits cell proliferation in cell lines presenting clinically relevant gene mutations and in the NCI-60 panel

Our preliminary studies showed that DJ101 has potent cytotoxic activity against a variety of melanoma and prostate cancer cell lines (21). To expand upon this observation and determine its in vitro efficacy against additional metastatic melanoma cell lines that harbor clinically relevant mutations, we first performed cytotoxicity assays for DJ101 against a panel of human metastatic melanoma cell lines including A375, RPMI7951, WM-115, and SK-MEL-1 (Table 2). These cell lines possess diverse genetic complexity and contain genomic mutations in one or more of the following genes: BRAF, CTNNB1, CDKN2A, PTEN, and TP53. DJ101 demonstrated comparable potency against these lines to colchicine, with IC50 values ranging from 7 to 10 nmol/L in each of the tested cell lines. In addition, DJ101 was tested against NCI-60 cell lines representing diverse types of cancer cells, where its GI50 values were generally less than 10 nmol/L (Supplementary Fig. S1).

Table 2.

DJ101 showed excellent potency against a panel of metastatic melanoma cell lines

Cell LinesIC50 ± SEM (nmol/L)
DJ101Colchicine
A375 7.6 ± 0.5 9.1 ± 2.1 
RPMI7951 10.1 ± 0.9 8.3 ± 0.5 
WM115 10.3 ± 1.8 8.2 ± 0.7 
SK-MEL-1 9.6 ± 0.4 9.0 ± 2.5 
Cell LinesIC50 ± SEM (nmol/L)
DJ101Colchicine
A375 7.6 ± 0.5 9.1 ± 2.1 
RPMI7951 10.1 ± 0.9 8.3 ± 0.5 
WM115 10.3 ± 1.8 8.2 ± 0.7 
SK-MEL-1 9.6 ± 0.4 9.0 ± 2.5 

NOTE: The cell viability after 72-hour treatment was determined using the MTS assay (n = 4). Results are given as IC50 values ± SEM. IC50 values were calculated in GraphPad Prism using nonlinear regression.

DJ101 disrupts microtubule networks

We revealed in our previous studies that DJ101 induces a strong depolymerizing effect on purified tubulin protein in a cell-free assay (21). To characterize its effects on microtubule networks and cell morphology, we utilized confocal microscopy to visualize A375 and RPMI7951 cells treated for 18 hours with either DJ101 or docetaxel, a potent microtubule-stabilizing agent that promotes microtubule polymerization. The alteration in microtubule rearrangement in the treated cells can clearly be observed (Fig. 2A). Control cells appeared to exhibit well-organized microtubule networks extending throughout the cell to the cell periphery. Treatment with DJ101 led to reduced and fragmented microtubule networks incorporating polymeric tubulin proteins and emitted a weaker fluorescent signal. This effect in DJ101-treated cells was accompanied by an increase in dispersed cytoplasmic fluorescence, representing a shift to the depolymerized, soluble tubulin form. Conversely, treatment with docetaxel led to hyperpolymerized tubulin and resulted in the formation of extensive microtubule bundles concentrated toward the nucleus. The microtubule fragmentation and disorder observed by DJ101 is consistent with its mechanism of action (i.e., inhibiting tubulin polymerization).

Figure 2.

DJ101 disrupts microtubule structure and inhibits melanoma proliferation and migration. A, Confocal images of A375 (top) and RPMI7951 (bottom) melanoma cells exposed to different concentrations DJ101, docetaxel, or media containing only the vehicle (DMSO) for 18 hours. Tubulin (red) is visualized by α-tubulin primary antibody and Alexa Fluor 647 secondary antibody. DNA (blue) was stained with DAPI. Images were obtained by confocal microscopy at ×63 magnification. B, Representative pictures of control and compounds tested at different concentrations on A375 (top) or RPMI7951 (bottom) and cell lines. The diameter of each well was 35 mm. C, Quantification of colony area ± SEM (n = 4). Total colony area was determined using ImageJ software. D, Scratch assay was carried out in A375 (top) and RPMI7951 (bottom) cell lines. Wound closure was assessed at 0, 12, and 24 hours after treatment. E, Cell migration presented as percent wound closure ± SEM (n = 4). ImageJ software was used to calculate the total wound area at each of the time points. Scale bar, 1,000 μm. Statistical analysis was performed by Dunnett multiple comparison test, comparing each treatment group with the corresponding control group.

Figure 2.

DJ101 disrupts microtubule structure and inhibits melanoma proliferation and migration. A, Confocal images of A375 (top) and RPMI7951 (bottom) melanoma cells exposed to different concentrations DJ101, docetaxel, or media containing only the vehicle (DMSO) for 18 hours. Tubulin (red) is visualized by α-tubulin primary antibody and Alexa Fluor 647 secondary antibody. DNA (blue) was stained with DAPI. Images were obtained by confocal microscopy at ×63 magnification. B, Representative pictures of control and compounds tested at different concentrations on A375 (top) or RPMI7951 (bottom) and cell lines. The diameter of each well was 35 mm. C, Quantification of colony area ± SEM (n = 4). Total colony area was determined using ImageJ software. D, Scratch assay was carried out in A375 (top) and RPMI7951 (bottom) cell lines. Wound closure was assessed at 0, 12, and 24 hours after treatment. E, Cell migration presented as percent wound closure ± SEM (n = 4). ImageJ software was used to calculate the total wound area at each of the time points. Scale bar, 1,000 μm. Statistical analysis was performed by Dunnett multiple comparison test, comparing each treatment group with the corresponding control group.

Close modal

DJ101 inhibits colony growth and cell migration

DJ101 was tested in a colony-forming assay to evaluate its long-term growth-inhibitory effects on two different metastatic melanoma cell lines (Fig. 2B). In A375 cells, treatment with a low concentration (4 nmol/L) of DJ101 resulted in colonies covering only 30.6% ± 0.8% of the total surface area, which was significantly lower than the cells exposed to only the vehicle (DMSO; 75.6% ± 3.7%; Fig. 2C). Colchicine was used as a reference control because its ability to potently and persistently inhibit colony formation is well-documented (31, 32). The effect of DJ101 on A375 cell colony formation was similar to colchicine at the same concentration, which had colonies covering a total area of 34.7% ± 1.5% (Fig. 2C). Comparable reductions in colony formation were measured in the RPMI7951 cell line treated with either DJ101 (47.1% ± 5.7%) or colchicine (50.9% ± 3.4%), whereas control RPMI7951 cells formed colonies occupying a surface area of 83.2% ± 2.1%. Higher concentrations (20 nmol/L) of DJ101 or colchicine resulted in complete colony obliteration. Dunnett multiple comparison tests after one-way ANOVA analysis gave an overall P value of less than 0.0001 for each treated group compared with the control, indicating that they are statistically different.

To demonstrate that DJ101 interferes with cell migration through microtubule destabilization, we performed a scratch migration assay (Fig. 2D). After 24 hours, untreated A375 and RPMI7951 cells had nearly achieved complete closure of the wound by migrating into 86.2% ± 2.2% and 93.0% ± 3.6% of the scratch area, respectively (Fig. 2E). A375 and RPMI7951 cells treated with DJ101 demonstrated impaired cell migration, occupying only 40.8% ± 6.0% and 24.6% ± 2.4% of the scratch area, respectively. Similar but less inhibition of the scratch area was observed colchicine-treated cells, achieving 52.0% ± 2.7% closure for the A375 cell line and 52.3% ± 3.4% for the RPMI7951 cell line. The one-way ANOVA P values in both cell lines were less than 0.0001, and Dunnett multiple comparison test against the control indicated P values of no more than 0.001 (Fig. 2E). Taken together, our in vitro studies demonstrate that DJ101 strongly reduces aberrant cancer cell proliferation at low concentrations and hinders cell migration at least as efficiently as colchicine in metastatic melanoma.

DJ101 inhibits melanoma tumor growth and lung metastasis in vivo

The antitumor efficacy of DJ101 was first tested in an A375 xenograft model in nude mice. After 2 weeks of treatment, the group of mice receiving 15 mg/kg doses of DJ101 had an average tumor growth inhibition (TGI) of 66.4%, while the group receiving 30 mg/kg doses of DJ101 averaged 92.8% inhibition compared with vehicle control (Fig. 3A). Dunnett multiple comparison test indicated that treatment with 15 mg/kg and 30 mg/kg doses of DJ101 was significantly better than the vehicle (P < 0.001 and 0.0001, respectively) based on the percent increase in final tumor volume. One-way ANOVA analysis gave a P value of < 0.0001 suggesting a significant difference among all groups (Fig. 3A). Mice exhibited normal physical activity during the study and body weights increased slightly (Fig. 3B), indicating negligible acute toxicities. H&E stains of representative tumor sections in the vehicle control group showed aggressive growth with numerous mitotic cells in different stages (Fig. 3C). The increase of metaphase cells and decrease of anaphase cells in the DJ101 treatment groups indicate mitotic blocking in the G2–M phase, consistent with our previous cell-cycle analysis (21). Tumor sections from both low- and high-dose treatment groups showed significantly less proliferation, and there were abundant apoptotic cells showing dense nuclear pyknosis and cytoplasmic karyorrhexis. There was also extensive central tumor necrosis in the treatment groups. In addition, CD31-labeled endothelial cells in the vehicle control tumor sections exhibited well-developed networks of capillaries or small blood vessels around tumors, while the DJ101 treatment groups displayed severely distorted blood vessels or absence of CD31-positive stains, suggesting potential vascular disrupting properties of DJ101. Finally, caspase-3 staining of tumor sections in the control group showed very few positive regions, but tumor sections from the DJ101 treatment groups showed an increase in caspase-3–positive labeled cells, confirming enhanced apoptosis due to DJ101 treatment.

Figure 3.

DJ101 inhibits melanoma tumor growth and lung metastasis in vivo. A, A375 xenograft model in nude mice. Graph represents mean tumor volume percent increase ± SEM (n = 6). Statistical significance for final tumor volumes was determined by one-way ANOVA (P < 0.0001) analysis, followed by Dunnett multiple comparison test. B, Mouse weight change in the xenograft model ± SEM. C, IHC stains of A375 tumors. A1–A3, H&E of tumors. White arrow, metaphase of mitosis; black arrow, anaphase of mitosis. Inset (2-fold) shows high power view of anaphase and metaphase mitosis. B1–B3, CD31 expression showing blood vessel disruption in control and treated groups. C1–C3, Expression of cleaved caspase-3 indicative of apoptosis in tumor tissues. Scale bar, 50 μm in A1–B3 and 25 μm in C1–C3. P = 0.007. D, B16F10 melanoma lung metastasis model in C57BL/6 mice. Graph represents mean number of nodules, with individual number for each mouse plotted ± 95% CIs (n = 11). Representative photos of lungs with melanoma nodules (black dots) are shown below. Statistical significance (P = 0.0001) was determined with an unpaired Student t test. E, Mouse weight change ± SEM in the metastasis model.

Figure 3.

DJ101 inhibits melanoma tumor growth and lung metastasis in vivo. A, A375 xenograft model in nude mice. Graph represents mean tumor volume percent increase ± SEM (n = 6). Statistical significance for final tumor volumes was determined by one-way ANOVA (P < 0.0001) analysis, followed by Dunnett multiple comparison test. B, Mouse weight change in the xenograft model ± SEM. C, IHC stains of A375 tumors. A1–A3, H&E of tumors. White arrow, metaphase of mitosis; black arrow, anaphase of mitosis. Inset (2-fold) shows high power view of anaphase and metaphase mitosis. B1–B3, CD31 expression showing blood vessel disruption in control and treated groups. C1–C3, Expression of cleaved caspase-3 indicative of apoptosis in tumor tissues. Scale bar, 50 μm in A1–B3 and 25 μm in C1–C3. P = 0.007. D, B16F10 melanoma lung metastasis model in C57BL/6 mice. Graph represents mean number of nodules, with individual number for each mouse plotted ± 95% CIs (n = 11). Representative photos of lungs with melanoma nodules (black dots) are shown below. Statistical significance (P = 0.0001) was determined with an unpaired Student t test. E, Mouse weight change ± SEM in the metastasis model.

Close modal

As a major obstacle in treating melanoma is tumor metastasis, we next assessed the efficacy of DJ101 in suppressing melanoma metastasis using a B16F10 experimental lung metastasis model in mice. After two weeks of treatment with 30 mg/kg doses of DJ101, the average number of tumor nodules that developed on the lungs was 1.7 ± 0.3, whereas the vehicle-treated group averaged 10.5 ± 2.0 nodules, demonstrating a 6.2 times decrease in lung metastasis for those receiving DJ101 treatment (Fig. 3D). An unpaired Student t test gave a P value of <0.001, representing a significant decrease in lung metastasis for the treatment group (Fig. 3D). Body weights (Fig. 3E) and physical activities of mice were normal in both groups. These results show that DJ101 is well-tolerated for doses up to 30 mg/kg in mice and can efficiently reduce the potential for lung metastasis of murine melanoma.

DJ101 shows no drug-related toxicity to major organs and negligible inhibitions to major physiologically important targets

To assess whether DJ101 treatment produces potential organ toxicities, pathologic analysis was performed on major organs collected from both melanoma in vivo studies including the heart, kidney, liver, lung and spleen. Sections stained with hematoxylin and eosin revealed no apparent drug-related injury or pathologic changes in the cellular structure of the various tissues in both xenograft mouse models (Fig. 4A) and the experimental lung metastasis mouse model (Fig. 4B).

Figure 4.

Toxicity profile and off-target effects of DJ101. A and B, Pathologic sections of major tissues (heart, kidney, liver, lung, and spleen) obtained from in vivo A375 xenograft (A) and B16F10 lung metastasis (B) studies. Organs were stained with H&E and representative images were captured. C,In vitro pharmacologic profiling of DJ101 to assess potential off-target effects to major targets at 1 μmol/L concentrations of DJ101 (n = 2). Graph represents mean percent response ± range. Values in between −70% and +70% (indicated with dashed lines) are considered insignificant.

Figure 4.

Toxicity profile and off-target effects of DJ101. A and B, Pathologic sections of major tissues (heart, kidney, liver, lung, and spleen) obtained from in vivo A375 xenograft (A) and B16F10 lung metastasis (B) studies. Organs were stained with H&E and representative images were captured. C,In vitro pharmacologic profiling of DJ101 to assess potential off-target effects to major targets at 1 μmol/L concentrations of DJ101 (n = 2). Graph represents mean percent response ± range. Values in between −70% and +70% (indicated with dashed lines) are considered insignificant.

Close modal

In vitro pharmacologic profiling is increasingly being used to identify undesirable off-target activity profiles early in the drug discovery process. To further test for potentially significant off-target effects and determine the safety profile, DJ101 was evaluated at 1 μmol/L in the Safety47 Panel using functional assays with all human targets for safety screening (Fig. 4C; Supplementary Table S1). This in vitro pharmacologic profiling service includes the assessment of the functional response of 47 major physiologically important targets across 78 assays to a test compound and normalized to respective controls. Only a value higher than 70% response is considered significant. DJ101 only showed significant responses in 2 of the 78 assays, namely norepinephrine transporter (NET) blocking and glucocorticoid receptor (GR) antagonism. As the concentration tested was more than 100-fold of the IC50 value for DJ101, which is expected to be well above its practical physiologic concentration, results from this Safety47 Panel screening strongly suggest that DJ101 has minimal potential off-target effects. Collectively, these in vivo and in vitro findings support a good safety profile for DJ101.

DJ101 overcomes paclitaxel resistance in vivo

We first confirmed our previous results that DJ101 maintains efficacy in paclitaxel resistant cell lines in vitro (21), by determining the potency of DJ101, paclitaxel, docetaxel, and colchicine in the parental PC-3, DU-145, paclitaxel-resistant PC-3/TxR, and docetaxel-resistant DU-145/TxR cell lines (Supplementary Table S2). Paclitaxel and docetaxel outperformed DJ101 and colchicine in the drug-sensitive PC-3 and DU-145 cell line. However, in the PC-3/TxR- and DU-145/TxR–treated cells, DJ101 was the most efficacious among the four and was roughly equipotent in its cytotoxicity to the parental cell lines, while the other three tubulin inhibitors have a significantly large drug-resistant index. We next compared the efficacy of DJ101 and paclitaxel in vivo using both PC-3 and PC-3/TxR xenograft models. Both paclitaxel (15 mg/kg) and DJ101 (30 mg/kg) inhibited tumor growth as determined by tumor volume growth (Fig. 5A). The TGI for the group receiving paclitaxel treatment was 101.1% and 78.8% for the DJ101-treated group in PC-3 xenografts. ANOVA analysis followed by Dunnett multiple comparison test of final volumes resulted in P values of <0.0001, suggesting significant differences. Their efficacy against tumors was also evident based on final tumor weight (Fig. 5B) and representative tumor images (Fig. 5C), where the DJ101- and paclitaxel-treated groups showed a 47.1% (P < 0.001) and 79.3% (P < 0.0001) reduction in tumor weight compared with the control group, respectively. No acute toxicities were observed on the basis of physical activity and body weights (Fig. 5D). In contrast, using the same dosing schedule and frequency as we did in the parental PC-3 model, DJ101 caused a TGI of 104.0%, remarkably demonstrating an overall reduction in tumor volume in the PC-3/TxR xenograft model, whereas paclitaxel only modestly inhibited tumor growth by 37.8% (Fig. 5E). These results were corroborated by final tumor weights, where DJ101 caused a 77.3% reduction and paclitaxel showed only a 35.6% reduction compared with the control group (Fig. 5F). Representative tumor images are shown in Fig. 5G. For both the tumor volumes and tumor weights, one-way ANOVA analysis demonstrated a difference amongst groups of P < 0.0001, and Dunnett multiple comparison test showed a much greater significance between control versus DJ101 (P < 0.0001) and vehicle control versus paclitaxel (P < 0.05). Similarly, no acute toxicities were observed in this model (Fig. 5H).

Figure 5.

DJ101 inhibits PC-3 and PC-3/TxR tumor growth in vivo. A and E, Tumor volumes for PC-3 (A) and PC-3/TxR (E) xenograft model in nude mice. Graphs represent mean tumor volume percent increase ± SEM (n = 7). B and F, Final tumor weights ± SEM for PC-3 (B) and PC-3/TxR (F) mice. C and G, Representative images for PC-3 (C) and PC-3/TxR (G) tumors. Mouse weight change ± SEM for PC-3 (D) and PC-3/TxR (H) mice. One-way ANOVA analysis was performed for final tumor volumes (P < 0.0001 in all cases) and weight, followed by Dunnett multiple comparison test of each treated group with the corresponded results of vehicle group.

Figure 5.

DJ101 inhibits PC-3 and PC-3/TxR tumor growth in vivo. A and E, Tumor volumes for PC-3 (A) and PC-3/TxR (E) xenograft model in nude mice. Graphs represent mean tumor volume percent increase ± SEM (n = 7). B and F, Final tumor weights ± SEM for PC-3 (B) and PC-3/TxR (F) mice. C and G, Representative images for PC-3 (C) and PC-3/TxR (G) tumors. Mouse weight change ± SEM for PC-3 (D) and PC-3/TxR (H) mice. One-way ANOVA analysis was performed for final tumor volumes (P < 0.0001 in all cases) and weight, followed by Dunnett multiple comparison test of each treated group with the corresponded results of vehicle group.

Close modal

Interfering with tubulin dynamics is a validated approach for anticancer treatment and many antimitotic microtubule stabilizers and destabilizers are widely used clinically or are undergoing clinical development (33). However, many of these agents cause neurotoxicity, exhibit chemical instability, or have elevated metabolic clearance (19). In addition, the clinical efficacy of many FDA-approved tubulin inhibitors is often limited by drug efflux pumps or overexpression of certain tubulin subtypes, most notably the βIII tubulin isotype (34). Design and development of new tubulin inhibitors targeting the colchicine binding site represent an attractive approach for improving and advancing tubulin inhibitors. We previously reported several indole derivatives interacting with the colchicine-binding site that are highly potent in vitro and metabolically stable (21). Herein, we focused on the most promising compound in this class, DJ101, and further demonstrated the high potency of DJ101 against a broader panel of metastatic melanomas with varying degrees of genetic complexity based on genomic mutations (BRAF, CTNNB1, CDKN2A, PTEN, or TP53) and the NCI-60 panel, providing additional evidence to support its anticancer activities.

Tubulin inhibitors interacting with the colchicine-binding site have diverse structures. Thus it has been very challenging to reliably decipher the molecular interactions between an inhibitor and tubulin using molecular modeling with crystal structures containing a different class of tubulin inhibitors. Another challenge is that available X-ray crystal structures often have low resolution which further impedes reliable molecular modeling studies. In this report, we obtained the high resolution X-ray crystal structure of DJ101 in complex with αβ-tubulin. The crystal structure confirmed the binding of DJ101 at the colchicine-binding site in tubulin, overlapping well with that of colchicine. The three hydrogen bonds formed between DJ101 and the tubulin dimer and additional strong hydrophobic interactions from surrounding residues firmly anchored DJ101 in this colchicine binding site. Interestingly, our previous molecular modeling studies using the crystal structure of 1SA0 showed a different binding pose for DJ101, in which the top portion of the DJ101 has a 180 degree flip (21). Examination of the crystal structures of 1SA0 and the current DJ101 complex clearly revealed significant conformational changes for the T4 loop in the tubulin α-subunit and T7 loop in the tubulin β-subunit. It is apparent that the “closing up” of the T4 to the colchicine-binding pocket in the 1SA0 structure prevented the top moiety of DJ101 in adopting its true binding pose, and thus forced its top moiety to rotate 180 degrees. It is well known that while the colchicine site can accommodate a wide range of structurally distinct molecules (34, 35), seemingly insignificant changes to many of these molecules can result in a total loss of activity. Results from this study underline the variation of conformations accommodated for by α-T4 and β-T7 and their critical contributions to the optimal bindings of different scaffolds at the colchicine site in tubulin, as well as the importance of high-resolution crystal structures over molecular modeling in guiding structure optimizations for tubulin inhibitors interacting at this site.

Taxanes, such as docetaxel, are microtubule-stabilizing agents that target the taxane site within the lumen of polymerized microtubules and alter their conformation to the more stable GTP-bound β-tubulin structure, thereby locking them in the polymerized state (36). Microtubule-destabilizing agents, on the other hand, exert their antimitotic effects by interfering with tubulin dynamics as opposed to simply reducing polymerized tubulin, leading to mitotic arrest and eventual apoptosis (36). To further confirm the mechanism of action of DJ101 and evaluate the physical change in microtubule networks, we performed immunofluorescent imaging studies of tubulin structure using melanoma cells that had been treated with our microtubule destabilizing compound DJ101 or docetaxel which potently stabilizes microtubules. In the control cells, the microtubule networks displayed an arrangement of organized, fibrous microtubules extending throughout the elongated cells. Cells treated with DJ101 displayed dispersed and disordered tubulin fragments and greater cytoplasmic fluorescence consistent with depolymerization and elevated free tubulin. Docetaxel-treated cells displayed dense and abundant arrays of tubulin accompanied by a strong fluorescence signal. The immunofluorescent images clearly differentiated the stabilizing and destabilizing effects on microtubule structure and cellular framework by these two opposing classes of compounds.

In addition to their well-defined roles in supporting cellular structure and their involvement in mitosis, microtubules are also implicated in cell migration and motility. It has been suggested that dynamic instability imposed on the microtubules by suppressing and interfering with tubulin behavior causes cell immobility, as the cell is less able to remodel and respond to change the cell shape demanded for cell migration (32). The antimitotic and antimigratory effects of DJ101 were demonstrated by its ability to inhibit anchorage-dependent colony propagation and suppress cell motility in a wound healing assay. The cessation of colony formation and cell movement was attributed to disruption of microtubule dynamics, although additional studies are needed to further elucidate the mechanism of microtubule-binding drugs on different facets of cellular function.

As a further validation of its anticancer potential, DJ101 effectively inhibited melanoma tumor growth and lung metastasis in vivo in mouse models. Because antimitotic drugs exploit different sites on tubulin and microtubules, synergistic combinations could be investigated to optimize their clinical usefulness. This assertion is supported by a number of reported studies that combined paclitaxel with other tubulin targeting drugs (37–40). It will also be important to combine a novel tubulin inhibitor such as DJ101 with a different targeted agent. Toward this end, we previously demonstrated that strong synergy can be achieved by combining ABI-274 (a less metabolically stable analogue of DJ101) and vemurafenib in a BRAF inhibitor–resistant melanoma xenograft model (30). Our ongoing efforts will continue to investigate combination therapies to maximize the clinical potential of DJ101.

Off-target adverse drug reactions (ADR) often contribute to the high attrition rate in the drug discovery and development process. Reducing potential off-target ADRs early on will help to mitigate the risk of expensive failure in late stages. To assess the safety of DJ101 and its potential off-target effects, the inhibition of DJ101 was evaluated against 47 major physiologically important GPCRs, nuclear hormone receptors, transporters, ion channels, kinases, and nonkinase enzymes with Safety47™ Panel. This pharmacologic profile screening includes the assays recommended by major pharmaceutical companies including AstraZeneca, GlaxoSmithKline, Novartis and Pfizer (41). Of the 78 assays tested, DJ101 at a very high concentration only elicited a functional response to NET and GR antagonism, suggesting a good safety profile for this scaffold.

Finally, while taxanes are some of the most clinically effective chemotherapy drugs available, their clinical success is often limited by the emergence of intrinsic and acquired drug resistance (42). The most common mechanisms of resistance to taxanes are derived from the overexpression of ATP-binding cassette proteins such as P-gp and alterations in tubulin–isoform expression, particularly of βIII-tubulin (13). There is evidence that suggests that tubulin-binding agents that specifically target the colchicine-binding site may circumvent these resistance mechanisms (43). In the paclitaxel-resistant PC-3/TxR prostate cancer cell line, more than 200 genes are upregulated in addition to P-gp overexpression, which represent a large number of paclitaxel resistance mechanisms (22, 23). We demonstrated that DJ101 maintains its potency in both paclitaxel sensitive PC-3 and paclitaxel-resistant PC-3/TxR prostate cancer xenograft models in mice. Other groups have also reported elevated sensitivity of paclitaxel-resistant cancer cells to colchicine-binding site drugs. One such study investigated a variety of microtubule targeting agents that bind to the taxane site, vinca alkaloid binding site, and colchicine binding site for docetaxel resistant MCF-7 breast cancer cells. They reported that while MCF-7TXT cells demonstrated cross-resistance to vinca alkaloids, they were more sensitive to colchicine-binding site agents including 2MeOE2, ABT-751, CA-4P, and colchicine than the nonresistant counterpart MCF-7 cells (44). This also supports the notion that colchicine-binding agents such as DJ101 may be an alternative treatment when tumors acquire resistance to treatment by taxanes.

In summary, we have obtained the high-resolution X-ray crystal structure of DJ101 which represents a novel class of tubulin inhibitors targeting the colchicine-binding site. DJ101 depolymerizes microtubules in vitro and disrupts microtubule morphology distinctly from agents that stabilize tubulin polymerization. It is effective against a broad panel of metastatic melanomas representing different gene mutations as well as other types of cancers as revealed by the NCI-60 screening. DJ101 demonstrates strong antitumor efficacy and decreases metastasis in two melanoma mouse models without causing apparent toxicity to major organs and possesses a good safety profile. Furthermore, DJ101 maintains potency and efficacy in the paclitaxel-resistant PC-3/TxR xenograft model. Collectively, this preclinical evaluation and our previous studies of DJ101 strongly support its further development as a new generation of tubulin inhibitor targeting the colchicine-binding site.

No potential conflicts of interest were disclosed.

The contents of this article are solely the responsibility of the authors and do not necessarily represent the official views of the NIH/NCI.

Conception and design: K.E. Arnst, D.-J. Hwang, J.T. Dalton, D.D. Miller, W. Li

Development of methodology: K.E. Arnst, D.-J. Hwang, Y. Xue, J. Yang, J.T. Dalton, W. Li

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): K.E. Arnst, Y. Xue, T. Costello, D. Hamilton, Q. Chen, J. Yang, W. Li

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): K.E. Arnst, Y. Wang, D.-J. Hwang, Y. Xue, J. Yang, F. Park, J.T. Dalton, D.D. Miller, W. Li

Writing, review, and/or revision of the manuscript: K.E. Arnst, Y. Wang, D.-J. Hwang, Y. Xue, F. Park, J.T. Dalton, D.D. Miller, W. Li

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): K.E. Arnst, Y. Xue, J. Yang, W. Li

Study supervision: W. Li

This work is supported by NIH/NCI grants R01CA148706 (to W. Li and D. D. Miller) and National Natural Science Foundation of China (81572995, 81703553 to J. Yang and Y. Wang).

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1.
Nogales
E
. 
Structural insights into microtubule function
.
Annu Rev Biochem
2000
;
69
:
277
302
.
2.
Jordan
MA
. 
Mechanism of action of antitumor drugs that interact with microtubules and tubulin
.
Curr Med Chem Anticancer Agents
2002
;
2
:
1
17
.
3.
Perez
EA
. 
Microtubule inhibitors: Differentiating tubulin-inhibiting agents based on mechanisms of action, clinical activity, and resistance
.
Mol Cancer Ther
2009
;
8
:
2086
95
.
4.
Gigant
B
,
Wang
C
,
Ravelli
RB
,
Roussi
F
,
Steinmetz
MO
,
Curmi
PA
, et al
Structural basis for the regulation of tubulin by vinblastine
.
Nature
2005
;
435
:
519
22
.
5.
Dorleans
A
,
Gigant
B
,
Ravelli
RB
,
Mailliet
P
,
Mikol
V
,
Knossow
M
. 
Variations in the colchicine-binding domain provide insight into the structural switch of tubulin
.
Proc Natl Acad Sci U S A
2009
;
106
:
13775
9
.
6.
Ravelli
RB
,
Gigant
B
,
Curmi
PA
,
Jourdain
I
,
Lachkar
S
,
Sobel
A
, et al
Insight into tubulin regulation from a complex with colchicine and a stathmin-like domain
.
Nature
2004
;
428
:
198
202
.
7.
Giacomini
KM
,
Huang
SM
,
Tweedie
DJ
,
Benet
LZ
,
Brouwer
KL
,
Chu
X
, et al
Membrane transporters in drug development
.
Nat Rev Drug Discov
2010
;
9
:
215
36
.
8.
Wang
Z
,
Chen
J
,
Wang
J
,
Ahn
S
,
Li
CM
,
Lu
Y
, et al
Novel tubulin polymerization inhibitors overcome multidrug resistance and reduce melanoma lung metastasis
.
Pharm Res
2012
;
29
:
3040
52
.
9.
Chen
J
,
Ahn
S
,
Wang
J
,
Lu
Y
,
Dalton
JT
,
Miller
DD
, et al
Discovery of novel 2-aryl-4-benzoyl-imidazole (ABI-III) analogues targeting tubulin polymerization as antiproliferative agents
.
J Med Chem
2012
;
55
:
7285
9
.
10.
Duran
GE
,
Wang
YC
,
Francisco
EB
,
Rose
JC
,
Martinez
FJ
,
Coller
J
, et al
Mechanisms of resistance to cabazitaxel
.
Mol Cancer Ther
2015
;
14
:
193
201
.
11.
Du
J
,
Li
B
,
Fang
Y
,
Liu
Y
,
Wang
Y
,
Li
J
, et al
Overexpression of Class III beta-tubulin, Sox2, and nuclear Survivin is predictive of taxane resistance in patients with stage III ovarian epithelial cancer
.
BMC Cancer
2015
;
15
:
536
.
12.
Akasaka
K
,
Maesawa
C
,
Shibazaki
M
,
Maeda
F
,
Takahashi
K
,
Akasaka
T
, et al
Loss of class III beta-tubulin induced by histone deacetylation is associated with chemosensitivity to paclitaxel in malignant melanoma cells
.
J Invest Dermatol
2009
;
129
:
1516
26
.
13.
Stengel
C
,
Newman
SP
,
Leese
MP
,
Potter
BV
,
Reed
MJ
,
Purohit
A
. 
Class III beta-tubulin expression and in vitro resistance to microtubule targeting agents
.
Br J Cancer
2010
;
102
:
316
24
.
14.
van Echteld
I
,
Wechalekar
MD
,
Schlesinger
N
,
Buchbinder
R
,
Aletaha
D
. 
Colchicine for acute gout
.
Cochrane Database Syst Rev
2014
:
Cd006190
.
15.
Ahn
S
,
Duke
CB
 3rd
,
Barrett
CM
,
Hwang
DJ
,
Li
CM
,
Miller
DD
, et al
I-387, a novel antimitotic indole, displays a potent in vitro and in vivo antitumor activity with less neurotoxicity
.
Mol Cancer Ther
2010
;
9
:
2859
68
.
16.
Lu
Y
,
Li
CM
,
Wang
Z
,
Chen
J
,
Mohler
ML
,
Li
W
, et al
Design, synthesis, and SAR studies of 4-substituted methoxylbenzoyl-aryl-thiazoles analogues as potent and orally bioavailable anticancer agents
.
J Med Chem
2011
;
54
:
4678
93
.
17.
Li
CM
,
Chen
J
,
Lu
Y
,
Narayanan
R
,
Parke
DN
,
Li
W
, et al
Pharmacokinetic optimization of 4-substituted methoxybenzoyl-aryl-thiazole and 2-aryl-4-benzoyl-imidazole for improving oral bioavailability
.
Drug Metab Dispos
2011
;
39
:
1833
9
.
18.
Xiao
M
,
Ahn
S
,
Wang
J
,
Chen
J
,
Miller
DD
,
Dalton
JT
, et al
Discovery of 4-Aryl-2-benzoyl-imidazoles as tubulin polymerization inhibitor with potent antiproliferative properties
.
J Med Chem
2013
;
56
:
3318
29
.
19.
Lu
Y
,
Chen
J
,
Wang
J
,
Li
CM
,
Ahn
S
,
Barrett
CM
, et al
Design, synthesis, and biological evaluation of stable colchicine binding site tubulin inhibitors as potential anticancer agents
.
J Med Chem
2014
;
57
:
7355
66
.
20.
Brancale
A
,
Silvestri
R
. 
Indole, a core nucleus for potent inhibitors of tubulin polymerization
.
Med Res Rev
2007
;
27
:
209
38
.
21.
Hwang
DJ
,
Wang
J
,
Li
W
,
Miller
DD
. 
Structural optimization of indole derivatives acting at colchicine binding site as potential anticancer agents
.
ACS Med Chem Lett
2015
;
6
:
993
7
.
22.
Takeda
M
,
Mizokami
A
,
Mamiya
K
,
Li
YQ
,
Zhang
J
,
Keller
ET
, et al
The establishment of two paclitaxel-resistant prostate cancer cell lines and the mechanisms of paclitaxel resistance with two cell lines
.
Prostate
2007
;
67
:
955
67
.
23.
Holleman
A
,
Chung
I
,
Olsen
RR
,
Kwak
B
,
Mizokami
A
,
Saijo
N
, et al
miR-135a contributes to paclitaxel resistance in tumor cells both in vitro and in vivo
.
Oncogene
2011
;
30
:
4386
98
.
24.
Prota
AE
,
Bargsten
K
,
Zurwerra
D
,
Field
JJ
,
Diaz
JF
,
Altmann
KH
, et al
Molecular mechanism of action of microtubule-stabilizing anticancer agents
.
Science
2013
;
339
:
587
90
.
25.
Charbaut
E
,
Curmi
PA
,
Ozon
S
,
Lachkar
S
,
Redeker
V
,
Sobel
A
. 
Stathmin family proteins display specific molecular and tubulin binding properties
.
J Biol Chem
2001
;
276
:
16146
54
.
26.
Wang
Y
,
Zhang
H
,
Gigant
B
,
Yu
Y
,
Wu
Y
,
Chen
X
, et al
Structures of a diverse set of colchicine binding site inhibitors in complex with tubulin provide a rationale for drug discovery
.
Febs j
2016
;
283
:
102
11
.
27.
Wang
Y
,
Benz
FW
,
Wu
Y
,
Wang
Q
,
Chen
Y
,
Chen
X
, et al
Structural insights into the pharmacophore of vinca domain inhibitors of microtubules
.
Mol Pharmacol
2016
;
89
:
233
42
.
28.
Emsley
P
,
Cowtan
K
. 
Coot: model-building tools for molecular graphics
.
Acta Crystallogr D Biol Crystallogr
2004
;
60
:
2126
32
.
29.
Winn
MD
,
Ballard
CC
,
Cowtan
KD
,
Dodson
EJ
,
Emsley
P
,
Evans
PR
, et al
Overview of the CCP4 suite and current developments
.
Acta Crystallogr D Biol Crystallogr
2011
;
67
:
235
42
.
30.
Wang
J
,
Chen
J
,
Miller
DD
,
Li
W
. 
Synergistic combination of novel tubulin inhibitor ABI-274 and vemurafenib overcome vemurafenib acquired resistance in BRAFV600E melanoma
.
Mol Cancer Ther
2014
;
13
:
16
26
.
31.
Licht
T
,
Goldenberg
SK
,
Vieira
WD
,
Gottesman
MM
,
Pastan
I
. 
Drug selection of MDR1-transduced hematopoietic cells ex vivo increases transgene expression and chemoresistance in reconstituted bone marrow in mice
.
Gene Ther
2000
;
7
:
348
58
.
32.
Yang
H
,
Ganguly
A
,
Cabral
F
. 
Inhibition of cell migration and cell division correlates with distinct effects of microtubule inhibiting drugs
.
J Biol Chem
2010
;
285
:
32242
50
.
33.
van Vuuren
RJ
,
Visagie
MH
,
Theron
AE
,
Joubert
AM
. 
Antimitotic drugs in the treatment of cancer
.
Cancer Chemother Pharmacol
2015
;
76
:
1101
12
.
34.
Lu
Y
,
Chen
J
,
Xiao
M
,
Li
W
,
Miller
DD
. 
An overview of tubulin inhibitors that interact with the colchicine binding site
.
Pharm Res
2012
;
29
:
2943
71
.
35.
Wu
X
,
Wang
Q
,
Li
W
. 
Recent advances in heterocyclic tubulin inhibitors targeting the colchicine binding site
.
Anticancer Agents Med Chem
2016
;
16
:
1325
38
.
36.
Stanton
RA
,
Gernert
KM
,
Nettles
JH
,
Aneja
R
. 
Drugs that target dynamic microtubules: a new molecular perspective
.
Med Res Rev
2011
;
31
:
443
81
.
37.
Hudes
GR
,
Nathan
FE
,
Khater
C
,
Greenberg
R
,
Gomella
L
,
Stern
C
, et al
Paclitaxel plus estramustine in metastatic hormone-refractory prostate cancer
.
Semin Oncol
1995
;
22
:
41
5
.
38.
Knick
VC
,
Eberwein
DJ
,
Miller
CG
. 
Vinorelbine tartrate and paclitaxel combinations: enhanced activity against in vivo P388 murine leukemia cells
.
J Natl Cancer Inst
1995
;
87
:
1072
7
.
39.
Photiou
A
,
Shah
P
,
Leong
LK
,
Moss
J
,
Retsas
S
. 
In vitro synergy of paclitaxel (Taxol) and vinorelbine (navelbine) against human melanoma cell lines
.
Eur J Cancer
1997
;
33
:
463
70
.
40.
Giannakakou
P
,
Villalba
L
,
Li
H
,
Poruchynsky
M
,
Fojo
T
. 
Combinations of paclitaxel and vinblastine and their effects on tubulin polymerization and cellular cytotoxicity: characterization of a synergistic schedule
.
Int J Cancer
1998
;
75
:
57
63
.
41.
Bowes
J
,
Brown
AJ
,
Hamon
J
,
Jarolimek
W
,
Sridhar
A
,
Waldron
G
, et al
Reducing safety-related drug attrition: the use of in vitro pharmacological profiling
.
Nat Rev Drug Discov
2012
;
11
:
909
22
.
42.
Fojo
T
,
Menefee
M
. 
Mechanisms of multidrug resistance: the potential role of microtubule-stabilizing agents
.
Ann Oncol
2007
;
18
:
v3
8
.
43.
Nguyen
TL
,
Cera
MR
,
Pinto
A
,
Lo Presti
L
,
Hamel
E
,
Conti
P
, et al
Evading Pgp activity in drug-resistant cancer cells: a structural and functional study of antitubulin furan metotica compounds
.
Mol Cancer Ther
2012
;
11
:
1103
11
.
44.
Wang
RC
,
Chen
X
,
Parissenti
AM
,
Joy
AA
,
Tuszynski
J
,
Brindley
DN
, et al
Sensitivity of docetaxel-resistant MCF-7 breast cancer cells to microtubule-destabilizing agents including vinca alkaloids and colchicine-site binding agents
.
PLoS One
2017
;
12
:
e0182400
.