Abstract
Breast cancer is the most common malignancy in women worldwide and it remains a global health burden, in part, due to poor response and tolerance to current therapeutics. Drug repurposing, which seeks to identify new indications for existing and investigational drugs, has become an exciting strategy to address these challenges. Here we describe the anti-breast cancer activity of a diaryl-imidazopyridazine compound, MMV652103, which was previously identified for its anti-plasmodial activity. We demonstrate that MMV652103 potently inhibits the oncogenic PI4KB and PIK3C2G lipid kinases, is selectively cytotoxic to MCF7 and T47D estrogen receptor positive breast cancer cells and inhibits their ability to survive and migrate. The underlying mechanisms involved included the induction of reactive oxygen species and activation of the DNA damage and p38 MAPK stress signaling pathways. This was associated with a G1 cell cycle arrest and an increase in levels of the cyclin-dependent kinase inhibitor p21 and activation of apoptotic and autophagic cell death pathways. Lastly, MMV652103 significantly reduced the weight and metastases of MCF7 induced tumors in an in vivo chick embryo model and displayed a favorable safety profile. These findings position MMV652103 as a promising chemotherapeutic in the treatment of oestrogen receptor positive breast cancers.
Keywords: anti-plasmodial, diaryl-imidazopyridazines, drug repositioning, breast cancer, apoptosis, autophagy
Introduction
Globally in 2018, there were 2,085,849 new cases of breast cancer and 626,679 breast cancer-related deaths reported, making it the leading cause of cancer related deaths among women (Bray et al., 2018[11]). Breast cancer is a heterogeneous disease which displays substantial differences in biological behaviour and therapeutic responses. It can be divided into the following four major molecular subtypes: (i) luminal A (estrogen-receptor (ER) and/or progesterone-receptor (PR) positive (+) and human epidermal growth factor receptor 2 (HER2) negative), (ii) luminal B (ER+ and/or PR+, and either HER2 positive or HER2 negative with high levels of Ki-67), (iii) triple negative/basal-like (TNBC) and (iv) HER2-enriched (Majeed et al., 2014[51]). Approximately 60-70 % of breast cancers express the estrogen-dependent ERα transcription factor which when bound by estrogens, such as 17-ß estradiol (E2), regulate cell cycle target genes including CDK2, CDK4, Cyclin D1 and the proto-oncogene c-Myc to promote cancer cell proliferation (Ciocca and Fanelli, 1997[17]; Dalvai and Bystricky, 2010[18]). The primary systemic therapy for ER+ breast cancer is endocrine therapy which is designed to counteract estrogen-induced tumor growth. For example, the gold standard tamoxifen competes with estrogen to inhibit ER activity and the aromatase inhibitors (anastrozole, exemestane, and letrozole) block the conversion of androgens to estrogen (Davies et al., 2013[20]; Pan et al., 2017[63]; Waks and Winer, 2019[84]). However, not all patients with ER+ breast tumors respond to endocrine therapy and the disease will progress or recur in a substantial number of patients who initially responded to treatment as well as those on therapy (Massarweh and Schiff, 2006[53]). It is therefore clear that ER+ breast cancers continue to pose therapeutic challenges and there is an urgent need to develop novel therapeutics to treat them (Massarweh and Schiff, 2006[53]; Gonzalez-Angulo et al., 2007[30]; Moiseenko et al., 2017[56]).
The success of de novo drug development has been limited, in part, due to exorbitant research and development costs as well as the time and risks involved (Ashburn and Thor, 2004[3]; Pammolli et al., 2011[62]; Scannell et al., 2012[72]; Waring et al., 2015[85]). To overcome these challenges, drug repurposing, also broadly referred to as drug repositioning, reprofiling or rescue, which investigates existing and investigational drugs for their potential application for other diseases has gained traction. This approach has the potential to significantly shorten the drug development process as, in most cases, the drugs will have been through several stages of clinical development and will therefore have well-known pharmacokinetic and safety profiles (Ashburn and Thor, 2004[3]; Oprea and Mestres, 2012[60]; Njoroge et al., 2014[59]; Barrett and Kim, 2017[6]). To date there are a wide range of drugs that show promise for being repurposed as anti-cancer agents, with approximately 190 of them currently in late-stage clinical trials. These include acetylsalicylic acid (analgesic), metformin (treatment of type 2 diabetes), celecoxib (nonsteroidal anti-inflammatory), cholecalciferol (treatment of vitamin D deficiency), olanzapine (anti-psychotic) and zoledronic acid (treatment of bone diseases) for the treatment of, among other cancers, breast cancer (Pantziarka et al., 2018[64]).
Using an image-based high throughput screen of a BioFocus DPI SoftFocus kinase library (SFK52) we have previously identified a novel class of imidazopyridazines with anti-plasmodial activity. Indeed, 6 of these compounds were highly potent against the K1 (multidrug resistant) and NF54 (sensitive) strains of Plasmodium falciparum (Le Manach et al., 2014[44]) and were found to inhibit the lipid kinases, phosphatidylinositol-4-Phosphate 3-Kinase Catalytic Subunit Type 2 Gamma (PIK3C2G) and phosphatidylinositol 4-kinase beta (PI4KB). These lipid kinases, are fundamental in regulating numerous cellular processes including cell proliferation and survival, cytoskeletal organization, membrane trafficking and glucose transport (Fruman et al., 1998[25]; McPhail and Burke, 2020[54]) and their deregulation has been associated with various cancers including colorectal (Li et al., 2015[47]), pancreatic (Harada et al., 2008[33]), ovarian (Lambros et al., 2005[40]) and breast cancers (Lapin et al., 2014[41]; Weisman et al., 2016[87]). Of interest to this study, PI4KB is highly amplified in a subset of breast cancers and contributes to their oncogenic phenotype (Waugh, 2014[86]). We therefore hypothesized that the imidazopyridazine compounds that we had identified to exhibit anti-plasmodial activity may also exhibit anti-breast cancer activity. Indeed, here we show that the diaryl-imidazopyridazine, MMV652103, exhibits potent and selective cytotoxicity against two ER+ breast cancer cell lines. Furthermore, we show that MMV652103 inhibits the ability of these breast cancer cells to survive, proliferate, and migrate and that it induces these cells to arrest in G1 and to undergo apoptosis and autophagy. We demonstrate that MMV652103 induces reactive oxygen species (ROS), triggers double-stranded DNA breaks (DSBs) and the canonical p38 MAPK stress signaling pathway. Lastly, we provide evidence that MMV652103 effectively inhibits MCF7 ER+ induced breast tumor weight and metastases in an in vivo chick embryo model.
Materials and Methods
Lipid kinase assays
A non-radiometric kinase assay (ADP-Glo™ Assay, Promega, Madison, Wi, USA) was used for measuring the kinase activity of the 2 lipid kinases, phosphatidylinositol 4-kinase beta (encoded by the PI4KB gene) and phosphatidylinositol-4-Phosphate 3-Kinase Catalytic Subunit Type 2 Gamma (encoded by the PIK3C2G gene). All kinase assays were performed in 96-well half-area microtiter plates from Greiner Bio-One (Frickenhausen, Germany) in 25 µl reaction volumes. IC50 values were measured by testing 10 semi-log concentrations of the compound in singlicate in each kinase assay, ranging from 1 x 10-5 M to 3 x 10-10 M. All lipid kinase assays contained 50 mM HEPES-NaOH, pH 7.5, 1 mM EGTA, 100 mM NaCl, 0.03 % CHAPS, 2 mM DTT, ATP and substrate. In addition, the assay for PI4KB contained 3 mM MnCl2 and the assay for PIK3C2G contained 3 mM MgCl2. Kinases from external vendors (Carna Biosciences Inc.; Invitrogen Corporation; Millipore Corporation) were expressed, purified and quality-controlled by virtue of the vendors readings. The reaction cocktails were incubated at 30 °C for 60 min. The reaction was stopped with 25 µl ADP-Glo reagent per well. Plates were incubated for 40 min at RT, followed by the addition of 50 µl kinase detection reagent per well and incubation for 60 min at RT. Signal was determined with a microplate luminescence reader (Victor, Perkin Elmer). All assays were performed with a Beckman Coulter Biomek 2000/SL robotic system.
For each kinase, the median value of the counts per second (cps) of three wells with complete reaction cocktails, but without kinase, was defined as "low control" (n=3). Additionally, for each kinase the median value of the cps of three other wells with the complete reaction cocktail, but without any compound, was taken as the "high control" i.e., full activity in the absence of any inhibitor (n=3). The difference between high and low control was taken as 100 % activity for each kinase. As part of the data evaluation the low control of each row of a particular plate was subtracted from the high control value as well as from their corresponding 10 "compound values". The residual activity (in %) for each well of each row of a particular plate was calculated by using the following formula:
Res. Activity (%) = 100 X [(cps of compound - low control) / (high control - low control)]
Cell culture
Human estrogen-receptor positive (ER+) breast adenocarcinoma cell lines, MCF7 and T47D, were maintained in Roswell Park Memorial Institute-1640 medium (Sigma Aldrich, Missouri, USA) and the human epidermal growth factor receptor 2 positive (HER2+) BT474, and triple negative (TNBC) MDA-MB-231 and MDA-MB-468 cells were maintained in Dulbecco's Modified Eagle's Medium (DMEM) (Sigma Aldrich, Missouri, USA). FG0 human skin fibroblasts (provided by Associate Professor Denver Hendricks, University of Cape Town) were maintained in DMEM while the normal breast epithelial cell line MCF12A was maintained in DMEM:nutrient mixture F-12 (DMEM/F12; 1:1; Sigma Aldrich, Missouri, USA), supplemented with 20 ng/ml epidermal growth factor, 100 ng/ml cholera toxin, 500 ng/ml hydrocortisone and 10 µg/ml insulin. All media were supplemented with 10 % fetal bovine serum, 100 U/ml penicillin and 100 µg/ml streptomycin. Cells were maintained at 37 °C in a 5 % CO2 and 95 % air-humidified incubator. Media was replaced every 2-3 days and cells were routinely tested for mycoplasma infection.
Cell treatments
Test compounds synthesized as previously described (Le Manach et al., 2014[44]) were dissolved in dimethyl sulfoxide (DMSO) (D8418; Sigma Aldrich) to give a stock concentration of 10 mM and stock solutions of the compounds were made up fresh for each treatment. Test compounds were diluted in cell culture medium to achieve the desired final concentration and a vehicle control (DMSO) of the same concentration was prepared simultaneously. Cells were treated at a confluency of 60 %. Doxorubicin (z/26/0167; Teva Pharmaceutical Industries Ltd, Israel) was used as a positive control in the ROS-Glo™ H2O2 and GSH-Glo™ Glutathione detection assays at 9.84 nM.
Cytotoxicity assays
Cells (3.5×103-6×103 / well) were seeded in 96-well plates and treated at a 60-70 % confluence with a range of concentrations (0-10 μM) of test compounds or vehicle for 48 h. Cell viability was measured using the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-trazolium bromide (MTT) assay (11465007001; Sigma Aldrich) according to the manufacturer's instructions. Mean cell viability was calculated as a percentage of the mean vehicle control. A minimum of three independent experiments in quadruplicate were performed from which the IC50 was determined from sigmoidal plots using GraphPad Prism version 6.0 (GraphPad Software, California, USA). The selectivity index (SI) was determined by dividing the IC50 of a non-malignant cell line by the IC50 of a cancer cell line.
Clonogenic survival assays
Cells were pre-cultured and treated with the indicated concentrations of MMV652103 for 24 h, washed, collected and re-plated, in drug-free medium, at 1000-2000 cells per well in 35 mm dishes, in triplicate. After 10-21 days the surviving cells were fixed with 3:1 methanol: acetic acid and stained with 0.5 % crystal violet (Sigma-Aldrich, USA) in 100 % methanol. Quantification of colonies was performed using ImageJ 1.5J8 software (USA) (Schneider et al., 2012[73]). Number of colonies was determined for each drug concentration and expressed as a percentage of the vehicle treated control.
Scratch motility assays
Cells were grown to 100 % confluence in 12-well tissue culture plates and the following day a sterile 2 µl pipette tip was used to make a vertical scratch in the cell monolayer of each well and the cells treated with mitomycin C (M4287; Sigma Aldrich) at a final concentration of 10 μg/ml to inhibit proliferation. Cells were subsequently treated with MMV652103 or vehicle and imaged at 0, 3, 6 and 9 h post wound formation and ImageJ v1.50i software was used to calculate the area of the scratch (Schneider et al., 2012[73]). The total areas migrated was determined by subtracting the area for a specific time point from the area measured at 0 h.
Western blotting
Cells were exposed to MMV652103 or vehicle for 24 and 48 h. Cell lysates were prepared, and western blotting performed as previously described (Abrahams et al., 2008[1]). Primary antibodies were: PARP1/2 (sc-7150, 1:1000), p53 (sc-126, 1:1000), p21 (sc-756, 1:1000), cyclin B1 (H-433) (sc-752, 1:500) from Santa Cruz (California, USA), phospho-H2AX (#2577, 1:1000), phospho-p38 MAP Kinase (#9211, 1:1000), LC3 (#2775, 1:1000), caspase-7 (#9492, 1:1000), caspase-8 (#9746, 1:1000), caspase-9 (#9502S, 1:1000), from Cell Signaling (Boston, MA, USA), PUMA (ab9643, 1:1000) (AbCam, Cambridge, MA, USA) and p38 (M0800, 1:5000) from Sigma (St. Louis, MO, USA). Total p38 was used as a loading control because although its activity is modulated by phosphorylation, its total levels remain unaltered in response to stimuli (Raingeaud et al., 1995[68]). Densitometry readings were obtained using ImageJ v1.50i58 and protein expression levels were represented as a ratio of protein of interest/p38 loading control normalized to the vehicle treated control sample where appropriate. All blots are representative of at least three independent experiments.
Immunofluorescence
Cells on glass coverslips were treated with either MMV652103 or vehicle for 24 and 48 h and processed for immunofluorescence with antibodies against phospho H2A.X (#2577) (1:500) or LC3B (#2775) (1:200) (Cell Signaling Technology) as previously described (Bleloch et al., 2019[8]). Cells were imaged using confocal microscopy (Carl Zeiss LSM 880 with Fast Airyscan module confocal (Oberkochen, Germany)). Multiple z layers were acquired with 1 μM step width. Images were processed using ZEN 2012 imaging software (Carl Zeiss) and maximum intensity projections were generated. For quantification, mean fluorescence was measured from at least 20 fields of view per treatment condition and pooled from three independent replicates.
ROS-Glo™ H2O2 assay detection
To determine whether MMV652103 induced oxidative stress in breast cancer cells, the levels of H2O2 were measured using the ROS-Glo™ H2O2 assay kit (G8820, Promega, Wisconsin, USA), according to the manufacturer's instructions. Briefly, cells (2500-4500 cells per well) were seeded in opaque 96 well plates. Cells were treated for 24 h with either vehicle or MMV652103 in a volume of 80 μl per well. After 18 h of incubation, 20 μl H2O2 Substrate Solution was added to each well. After 24 h of incubation 100 μl ROS-Glo™ Detection Solution (prepared by mixing 10 ml Luciferin Detection Reagent, 100 μl D-Cysteine and 100 μl Signal Enhancer Solution) was added to each well and incubated at RT for 20 min. After incubation, the luminescence was read using the GloMax® Explorer Multimode plate reader (Promega, Wisconsin, USA).
GSH-Glo™ Glutathione assay
The increase in ROS levels results in a decrease in the levels of antioxidants. To confirm the presence of intracellular ROS, the levels of the antioxidant, glutathione (GSH), was measured using the GSH-Glo™ Glutathione assay kit (V6911, Promega, Wisconsin, USA), according to the manufacturer's instructions. Briefly, cells (2500-4500 cells per well) were seeded in opaque 96 well plates. Cells were treated for 24 h with either vehicle or MMV652103. Thereafter, the cell culture medium was removed and 100 μl of 1X GSH-Glo™ Reagent (prepared using Luciferin-NT substrate and Glutathione S-Transferase each diluted 1:100 in GSH-Glo™ Reaction Buffer) was added to each well. The plate was then mixed briefly on a shaker and incubated for 10 min at RT. Thereafter, 100 μl reconstituted Luciferin Detection Reagent was added to each well. The plate was then incubated for 15 min RT in order to stabilize the luminescence signal. The plate was read using the GloMax® Explorer Multimode plate reader (Promega, Wisconsin, USA).
Cell cycle analyses
Log-phase MCF7 cells were exposed to MMV652103 for 24 and 48 h and both adherent and floating cells were collected, processed as previously described and analyzed using a Becton Dickinson FACSCalibur flow cytometer (Becton Dickinson, New Jersey, USA) with a 488 nm coherent laser (Bleloch et al., 2019[8]). The data were acquired using CellQuest Pro version 5.2.1. software (Becton Dickinson) and the analyses were done using ModFit version 2.0. software (Verity Software House Inc, Maine, USA).
Supravital staining with acridine orange (AO)
Detection of acidic vesicular organelles (AVOs) was obtained by treating cells on a glass coverslip with either MMV652103 or vehicle for 24 and 48 h. Acridine orange (Michrome No. 714; Edward Gurr Ltd, UK) was added at a final concentration of 1 μg/ml for 15 min in the dark at 37 °C. Images were obtained on a Carl Zeiss LSM 880 with Fast Airyscan module confocal (Oberkochen, Germany).
Small interfering RNA (siRNA)
Cells were seeded at 2.5 X 105 per well of a 24 well plate and transfected at 60 % confluency using with 50 or 100 nM of siLC3 (J-012846-05-0010, Dharmacon, USA) or a control (non-silencing) siRNA (1027310; Qiagen, USA)). Cells were transfected using HiPerFect® transfection reagent (Qiagen, USA) according to manufacturer's instructions.
In vivo anti-tumor activity
All studies and procedures were conducted with prior approval of the Animal Ethics Committee of the University of Cape Town (FHS AEC REF NO:016/025) in accordance with the South African National Standard (SANS 10386:008) for the Care and Use of Animals for Scientific Purposes (SABS, 2015[71]), and guidelines from the Department of Health (2015[21]). Fertilized White Leghorn eggs were incubated at 37.5 °C with 50 % relative humidity for 9 days. At stage E9, the chorioallantoic membrane (CAM) was dropped by drilling a small hole through the eggshell into the air sac and a 1 cm2 window was cut in the eggshell above the CAM. Cultured MCF7 cells were detached with trypsin, washed with complete medium and suspended in PBS. An inoculum of MCF7 cells was grafted onto the CAM of each E9 egg (21 eggs were used for each condition) and at E10, tumors were detectable. MCF7 tumors were treated every 48 h (E10, E12, E14, E16) by dropping 100 μl of vehicle (0.25 % DMSO in PBS), a reference compound (Paclitaxel), or MMV652103, onto the tumour. At E18 the upper portion of the CAM was removed, transferred to PBS and the tumors cut away from normal CAM tissue and weighed. A one-way ANOVA analysis with post-tests was done. In parallel, a 1 cm2 portion of the lower CAM was collected to evaluate the number of metastatic cells. The relative amount of metastasis was calculated as follows: Tumor cells were grafted onto the upper chorioallantoic membrane (CAM) and during metastasis the cells invade the epithelium and basement membrane of the upper CAM and move through connective tissue into the vasculature into the lower CAM. The cells in the lower CAM are then harvested and genomic DNA is extracted and analyzed by qPCR with specific primers for Alu sequences which are only found in higher primates i.e. it allows for the distinction between human tumor cells and the host chick cells. Statistical analysis was directly performed on data from the Bio-Rad CFX Manager 3.1 software.
Statistics
All data were obtained from at least three independent experiments (unless otherwise stated) with error bars representing standard error of the mean (SEM). Data were analyzed using GraphPad Prism version 6.0 (Graphpad Software) and a parametric unpaired t-test was performed. Significance was accepted at *p < 0.05, **p < 0.01 and ***p < 0.001.
Results
Cytotoxicity screening of MMV compounds
To determine if the six compounds (MMV652103, MMV665078, MMV66620, MMV674951, MMV669810 and MMV674766) identified to have anti-plasmodial activity also exhibit anti-breast cancer activity, their solubility was first tested in DMSO at a final concentration of 10 mM. As can be seen in Table 1(Tab. 1), of the 6 compounds tested, MMV652103, MMV665078, MMV66620 and MMV674951 were soluble in DMSO and were therefore selected for preliminary in vitro cytotoxicity studies in MCF7 breast cancer cells. Briefly, the cells were treated with a range of concentrations (2 - 20 µM) of each compound or vehicle (DMSO) for 48 h and MTT assays were performed. The half maximal inhibitory concentration (IC50) for each compound was calculated and MMV652103 showed the most potent cytotoxic effect with the lowest IC50 of 2.2 µM. To determine the selectivity index (SI) for each compound, they were also tested against non-malignant MCF12A breast epithelial cells and MMV652103 displayed the best selectivity with an SI of 3 (Table 1(Tab. 1)). Based on the promising IC50 and SI values obtained for MMV652103, it was chosen for further studies.
MV652103 potently inhibits PI4KB and PIK3C2G lipid kinase activity
To determine which kinases are targeted by our 6 frontrunner compounds a non-radiometric assay (ADP-Glo™ Assay, Promega, Madison, Wi, USA) was used to measure their effect on the activity of the two human lipid kinases, phosphatidylinositol 4-kinase beta (PI4KB) and phosphatidylinositol-4-phosphate 3-kinase C2 domain-containing gamma polypeptide (PIK3C2G). Based on the results from our cytotoxicity assays (Table 1(Tab. 1)) only the data for MMV652103 are shown (Figure 1(Fig. 1)). MMV652103 was found to yield an IC50 of 0.085 µM for PIK3C2G and 1.7 µM for PI4KB (Figure 1A(Fig. 1)) and after 10 µM MMV652103 treatment, only 23 % PI4KB activity and a mere 4 % PIK3C2G activity was detected (Figure 1B(Fig. 1)). In addition, 10 µM MMV652103 treatment resulted in 42 % PI4K2A and 50 % PI4K2B subunit activity and the activity for the 7 PIK3C2G subunits tested ranged from 39 % to 2 %. These data clearly indicate that MMV652103 potently targets the oncogenic lipid kinases PI4KB and PIK3C2G.
MMV652103 exerts potent and selective cytotoxicity in ER+ breast cancer cells
When MMV652103 (Figure 2A(Fig. 2)) was tested in a range of breast cancer cells with varying hormone receptor status the following IC50 values were obtained: 2.2 µM for MCF7 (ER+), 2.9 µM for T47D (ER+), 7.3 µM for BT474 (HER2+), 14.3 µM for MDA-MB-231 (TNBC) (Figure 2B(Fig. 2)). Interestingly, the SI values calculated using the MCF12A cells show that MMV652103 was only selective against the ER+ MCF7 and T47D cell lines (SI values of ≥2) and therefore it was further characterized in these cells (Figure 2C(Fig. 2)). Although an exact IC50 for MMV652103 was not reached for the FG0 cells, the predicted IC50 was >10 μM and therefore the SI values for MCF7 and T47D are also likely to be >2 (Figure 2B(Fig. 2)).
MMV652103 inhibits the ability of MCF7 and T47D ER+ breast cancer cells to survive and migrate
Metastatic breast cancer is often associated with treatment resistance (Gonzalez-Angulo et al., 2007[30]; Redig and McAllister, 2013[69]) and therefore we determined if MMV652103 was able to inhibit the long-term survival and migration of the MCF7 and T47D breast cancer cells using the clonogenic and scratch motility assays respectively. The results show that MMV652103 treatment led to a dose-dependent reduction in the number of MCF7 and T47D cell colonies (Figure 3A, B(Fig. 3)) and a significant reduction in MCF7 and T47D cell migration at all concentrations and timepoints tested (Figure 3C, D(Fig. 3)). Taken together, these data demonstrate that MMV652013 inhibits the ability of MCF7 and T47D ER+ breast cancer cells to survive and migrate.
MMV652103 induces ROS production in breast cancer cells
ROS are chemically reactive oxygen radicals or non-radical oxygen derivatives, and excessive amounts of ROS can cause oxidative damage to lipids, proteins, and DNA. Therefore, anti-cancer agents that increase intracellular ROS are desirable because they can induce cancer cells to arrest in the cell cycle, undergo senescence and apoptosis (Lau et al., 2008[42]; Trachootham et al., 2009[78]; Teppo et al., 2017[77]). We therefore determined the impact of MMV652103 on ROS production by measuring the levels of hydrogen peroxide (H2O2) in MMV652103 treated MCF7 cells. H2O2 is convenient to assay as it has the longest half-life of all ROS in cultured cells and various ROS are often converted to H2O2 within cells (Rudzka et al., 2015[70]; Turrens, 2003[80]; Newsholme et al., 2012[58]). Doxorubicin, one of the most widely used chemotherapeutic drugs, was included in this assay because the generation of ROS is one of the main mechanisms by which it exerts cytotoxic effects in cancer cells, including breast cancer cells (Mizutani et al., 2005[55]; Pilco-Ferreto and Calaf, 2016[66]). The results show that, at both concentrations of MMV652103 tested, there was a significant increase in the levels of H2O2 which was higher than that obtained for the reported IC50 of doxorubicin (9.84 nM) (Figure 4A(Fig. 4)) (Yang et al., 2013[89]). To confirm these results, we measured the effect of MMV652103 on levels of glutathione (GSH) which plays an important role in protecting cells from the damaging effects of ROS. In the presence of ROS, GSH levels drop due to either oxidation or reaction with the thiol group in its cysteine moiety and therefore the levels of GSH are a useful indicator of oxidative stress (Venè et al., 2011[82]; Jin et al., 2016[35]). A significant decrease in the levels of GSH was observed in MCF7 cells treated with IC50 doxorubicin and both concentrations of MMV652103 tested (Figure 4B(Fig. 4)). These results suggest that MMV652103 may inhibit breast cancer cell viability by inducing an increase in ROS production and reducing levels of GSH.
MMV652103 activates the DNA damage and p38 MAPK pathways in MCF7 and T47D ER+ breast cancer cells
To determine whether the MMV652103-induced ROS production led to DNA double-stranded breaks (DSBs), MCF7 and T47D cells treated with MMV652103 were subjected to western blotting and immunocytochemistry with antibodies to γH2AX, a robust marker of DSBs. The results revealed a dose- and time-dependent increase in levels of γH2AX (Figure 4C(Fig. 4)) as well as accumulation of distinct γH2AX foci in the nuclei of MMV652103 treated breast cancer cells (Figure 4D(Fig. 4)). Interestingly, in the western blots shown in Figure 4C(Fig. 4), relative to vehicle treated MCF7 cells, which had almost undetectable levels of γH2AX, vehicle treated T47D cells expressed high levels of γH2AX. It is worth noting that while MCF7 cells express wild type p53, T47D cells express mutant non-functional p53 and cells with mutant p53 have been reported to have higher basal expression of γH2AX (Yu et al., 2006[90]). Notably, ROS is capable of directly mediating the phosphorylation and activation of the p38 MAPK stress signaling pathway which converge on p53 and p21 to execute tumor suppressor functions in a broad spectrum of cancers (Avisetti et al., 2014[4]; Choi et al., 2018[15]; Kim et al., 2018[38]). Our results show that MMV652103 also increased the levels of phosphorylated p38 which suggests that MMV652103 treatment induced DNA damage and activated the p38 MAPK stress pathway (Figure 4E(Fig. 4)). Both these signaling pathways converge on p53, a well-known transcriptional activator of the cyclin dependant kinase inhibitor p21 which is key to inducing cell cycle arrests and/or apoptosis under conditions of stress (Sionov and Haupt, 1999[76]; Shi et al., 2012[74]; Deryabin et al., 2016[22]). While MCF7 cells treated with MMV652103 displayed a dose- and time-dependent increase in the levels of p53, MMV652103 had no effect on levels of p53 in T47D cells which express mutant non-functional p53 (Figure 4E(Fig. 4)) (Vojtĕsek and Lane, 1993[83]). MMV652103 treatment, however, increased p21 levels in both cell lines which suggests that its effects on p21 may be p53-dependent and -independent. It is worth noting that activated p38 can also directly increase levels of p21 which suggests that this may be the p53-independent mechanism involved (Gartel and Tyner 2002[27]). While up to 80 % of human cancers harbor p53 mutations, only 20 % of all breast cancers have mutations in p53 and they are very rare in ER+ breast cancers (Berger et al., 2013[7]; Ungerleider et al., 2018[81]). The rest of the experiments was therefore performed in the MCF7 cells.
MMV652103 triggers a G1 cell cycle arrest in MCF7 breast cancer cells
To investigate the effect of MMV652103 on MCF7 cell cycle progression we performed flow cytometry and western blotting with antibodies to cyclin A and cyclin B1 which are needed for transition through the S and G2/M phases respectively (Pagano et al., 1992[61]; Gavet and Pines, 2010[28]). We show that MMV652103 induced sub-G1 peaks and arrested cells in G1 (Figure 5A(Fig. 5)) and reduced cyclin A and cyclin B1 levels (Figure 5B(Fig. 5)). The sub‐G1 or hypodiploid peak suggests that MMV652103 induces cell death because fragmentation of internucleosomal DNA is a key feature of apoptosis (Darzynkiewicz et al., 1997[19]; Kajstura et al., 2007[37]).
MMV652103 triggers intrinsic and extrinsic apoptosis in MCF7 breast cancer cells
Light microscopy confirmed that MMV652103 induced characteristic features of apoptosis including membrane blebbing and cell shrinkage (Figure 6A-C(Fig. 6)). Furthermore, MMV652103 treatment led to increased levels of the pro-apoptotic factors, PUMA, cleaved caspase-8 and caspase-9 as well as levels of cleaved caspase-7 and its substrate poly (ADP-ribose) polymerase (PARP) (Figure 6D(Fig. 6)). While levels of cleaved caspase-8, the effector of the extrinsic apoptotic pathway, were at their highest after 24 h of MMV652103 treatment, levels of cleaved caspase-9, the effector of the intrinsic apoptotic pathway, appeared to be highest after 48 h of treatment. These results are important since many cancers harbor mutationally inactive p53, and consequently a compromised intrinsic pathway, which reduces their sensitivity to conventional treatment regimens. Any drug that therefore induces both apoptotic pathways may prove to be more effective.
MMV652103 induces autophagic cell death in MCF7 breast cancer cells
We next sought to determine whether MMV652103 induces autophagy since autophagic-like vacuolar structures and acidic vesicular organelles (AVOs) were observed in MCF7 cells treated with the compound (Figure 7A, B(Fig. 7)). Results from immunocytochemistry show that MMV652103 treated cells had distinct LC3 puncta, which represent LC3II conjugated to autophagosomal membranes (Figure 7C(Fig. 7)). Furthermore, western blotting confirmed that MMV652103 treatment led to the conversion of LC3 to LC3II (Figure 7D(Fig. 7)). Interestingly, there was an inhibition of total LC3 at the ½ IC50 concentration at both 24 and 48 h of treatment. We speculate that this result is due to MMV652103 exerting differential effects on autophagy with ½ IC50 inhibiting LC3-I, and consequently its conversion to LC3-II, and IC50 MMV652103 treatment enhancing autophagy. It is important to note that although the conversion of LC3 to LC3II is a good marker for the induction of autophagic structures it does not provide sufficient information about autophagic flux, which is the measure or rate of autophagic degradation. Considering this, additional experiments with autophagy inhibitors such as bafilomycin A1 and chloroquine, would need to be performed to confirm autophagic flux in response to MMV652103 treatment. Furthermore, when LC3 was depleted in MCF7 cells, MMV652103 was unable to induce cleaved PARP (Figure 7E(Fig. 7)). These results suggest that MMV652103-induced breast cancer cell death occurs through crosstalk between autophagy and apoptosis.
MMV652103 reduces MCF7 cell induced breast tumour weight and metastases in chick embryos
We next investigated the cytotoxic activity of 4.4 μM and 22 μM MMV652103 in xenograft tumor experiments using chick embryos (Figure 8A(Fig. 8)). These concentrations were 2 and 10 times higher than the in vitro IC50 because unlike cells in culture, the chick embryo has an active metabolism and can catabolize and clear a compound. Concentrations higher than the IC50 obtained for a compound in vitro is therefore required to observe efficacy in the xenograft in ovo. Our results show that MMV652103 treatment did not result in an abnormal death ratio (Figure 8B(Fig. 8)), nor did it lead to any macroscopic abnormalities (results not shown). These data provide preliminary indication that MMV652103 treatment may be associated with minimal side effects. Importantly, the tumor weight was reduced by 34.89 % and 41.71 % in the 4.4 μM and 22 μM MMV652103 treated groups respectively which, while not significant, was more effective than that observed for 25 μM paclitaxel which resulted in only a 28.22 % reduction (Figure 8C(Fig. 8)). To determine the effect of MMV652103 on breast cancer cell metastases, genomic DNA was extracted from the lower chorioallantoic membrane (CAM) and analyzed by qPCR with specific primers for Alu sequences. The rationale for this was that the tumor cells were grafted onto the upper CAM and during metastasis the cancer cells invade the epithelium and basement membrane of the upper CAM and move through connective tissue into the vasculature into the lower CAM. Alu tandem repeats are only present in higher primates and therefore the quantification of human Alu sequences was used as a surrogate marker for metastasis in our xenograft model. The results show that 22 μM MMV652103 treatment resulted in a significant reduction in metastasis and was more effective than 25 μM paclitaxel (Figure 8D(Fig. 8)).
Discussion
Breast cancer is the most common malignancy in women worldwide and almost 50 % of breast cancer cases and 58 % of breast cancer related deaths occur in less developed countries. It remains a global health burden primarily due to late diagnosis, the development of tumor drug resistance, poor therapy response and debilitating side effects associated with current therapies (Massarweh and Schiff, 2006[53]; Cella and Fallowfield, 2008[14]; Redig and McAllister, 2013[69]). This highlights the critical need for more effective and affordable therapeutic interventions. This study adopts a drug repositioning strategy which refers to cases where drugs which are active in one disease is derivatized or used as a template for the synthesis of compounds active in another disease. Indeed, the anti-plasmodial diaryl-imidazopyridazine (MMV652103) compound was tested for its anti-breast cancer activity and several lines of evidence are provided to suggest that it may be an effective chemotherapeutic agent to treat breast cancer.
An effective anti-cancer therapeutic is proposed to have a sub-toxic treatment concentration and selectively targets cancer cells over normal somatic cells. In this study, the cytotoxicity of MMV652103 was tested in several breast cancer cell lines with different receptor status and results show that MMV652103 was most potent in the ER+ cell lines, MCF7 and T47D, where it exhibited an average IC50 of 2.5 µM. These results are encouraging because the anti-cancer drug screen criteria set by the National Cancer Institute (NCI) states that a potential therapeutic agent should have an initial single dose effect below 10 µM, after which, the ability of the drugs to inhibit additional cancer hallmarks can be assessed (Burger and Fiebig 2014[12]). Furthermore, MMV652103 was shown to be selective against MCF7 and T47D ER+ breast cancer cells with selectivity indices greater than 2 which indicates that it may be associated with fewer side-effects (Koch et al., 2005[39]; Badisa et al., 2009[5]).
One of the major challenges with anti-breast cancer therapies is tumor recurrence and relapse which is in part due to tumor cells retaining their clonogenicity post-treatment (Fiebig et al., 2004[24]). It is therefore worth noting that the results from clonogenic cell survival assays show that MMV652103 significantly reduced the capacity of breast cancer cells to retain their reproductive ability or clonogenicity. The clonogenic assay is a valuable in vitro tool used in the drug discovery pipeline as it allows for an extended period of analysis and therefore serves as a reliable indicator of the effect of drugs on the reproductive integrity of cancer cells. Furthermore, literature has shown that data from clonogenic assays have significant correlations with clinical responses to drugs with correct predictions of 62 % for drug sensitivity and 92 % for drug resistance (Fiebig et al., 2004[24]). Furthermore, it is estimated that approximately 90 % of cancer-related deaths are due to cancer cell metastasis and the formation of secondary tumors (Bogenrieder and Herlyn, 2003[9]; Lazebnik, 2010[43]; Hanahan and Weinberg, 2011[32]; Guan, 2015[31]; Gandalovičová et al., 2017[26]). Due to the importance of this process, the impact of MMV652103 on cellular migration was measured and results showed that MMV652103 significantly inhibited the migratory ability of MCF-7 and T47D ER+ breast cancer cells. This suggests that MMV652103 has the potential to reduce or inhibit ER+ breast cancer cell metastases.
There is a growing appreciation for the need to understand the mechanisms of action of novel anti-cancer therapeutics. This will enable the stratification of patients and the identification of biomarkers to facilitate clinical research. Furthermore, it will support and optimize combination therapies and allow for the anticipation of potential resistance mechanisms (Cattley and Radinsky, 2004[13]). This study therefore explored the mechanisms of anti-cancer activity of MMV652103 and showed that it increased the production of ROS. Numerous studies have reported on the ROS-inducing effects of well-known chemotherapeutics in a variety of cancers. For example, Lee et al. (2000[46]) showed that the anti-estrogen tamoxifen, commonly used in the treatment of ER+ breast cancer, induced a slow and sustained increase in intracellular ROS levels and subsequent apoptosis in HepG2 human hepatoblastoma cells (Lee et al., 2000[46]). Another study showed that tamoxifen promoted the generation of ROS and the senescence phenotype in MCF7 breast cancer and HCT116 human colorectal carcinoma cells (Lee et al., 2014[45]). Moreover, the widely used chemotherapeutic, doxorubicin, has been shown to induce apoptosis via the generation of H2O2 in leukemia cells, while in osteosarcoma cells it was shown to increase intracellular H2O2 and superoxide levels (Tsang et al., 2003[79]; Mizutani et al., 2005[55]). It is reasonable to speculate that the ROS induced by MMV652103 is, in part, responsible for its ability to induce DNA DSBs and activate the canonical DNA damage repair pathway as well as the p38 MAPK pathway. Furthermore, these pathways may be upstream of MMV652103 induced apoptotic and autophagic cell death. Encouragingly, MMV652103 was able to activate both the extrinsic and intrinsic apoptotic pathways. Typically, it is the mitochondrial or intrinsic pathway of apoptosis that is the most deregulated form of cell death in cancer and a major contributor of chemoresistance. Therefore, activation of the extrinsic pathway is a desirable characteristic of these compounds, although this may be cell type-dependent (Lopez and Tait, 2015[50]; Pfeffer and Singh, 2018[65]). Tumours also often initially respond to pro-apoptotic therapies but gain the ability to bypass apoptosis which contributes to anti-cancer drug resistance and ultimately tumour recurrence (Wong, 2011[88]). Therefore, our results showing that in addition to apoptosis, MMV652103 was also possibly inducing autophagic cell death suggests that it would be more efficacious (Giansanti et al., 2011[29]).
Our results showing that MMV652103 inhibits the PI3K and PI4K family members, PIK3C2G and PI4KB respectively are interesting because these lipid kinases play an important role in cancer metabolism and have been identified as druggable targets especially to overcome acquired drug resistance (Engelman, 2009[23]; Chu et al., 2010[16]; Li et al., 2010[48], 2014[49]; Pinke and Lee, 2011[67]; Boller et al., 2012[10]; Juvekar et al., 2012[36]; Martini et al., 2013[52]; Ilboudo et al., 2014[34]; Waugh, 2014[86]; Andrs et al., 2015[2]). For example, PI4KB is co-amplified with PIPK1A, AKT3 and PIK3C2B (all localized to chromosome 1q) in over 60 % of human breast tumor samples where this quartet of phosphoinositide metabolizing genes was postulated to enhance phosphoinositide signaling resulting in increased cell proliferation and motility and a more aggressive phenotype (Waugh, 2014[86]). Indeed, PI4KB was found to drive the development of all breast cancer subtypes and was shown to co-operate with the small Rab GTPase, Rab11a, to promote breast cancer oncogenesis via a novel Akt activation pathway (Morrow et al., 2014[57]; Silva et al., 2015[75]). Furthermore, in triple negative breast cancer a high mutation frequency was identified in PI3K signaling pathway-related genes, including PIK3C2G, and HER2+ breast cancer cells were sensitized to trastuzamub treatment when PIK3C2G was silenced (Lapin et al., 2014[41]; Weisman et al., 2016[87]). Not surprisingly, the development of novel inhibitors of the PI3K and PI4K family of lipid kinases as targeted anti-cancer agents has gained traction (McPhail and Burke, 2020[54]).
The in vivo anti-cancer potential of MMV652103 was assessed using the chick embryo chorioallantoic membrane (CAM) model. MMV652103 displayed a favouable safety profile since even after 10 days of treatment with ten times the in vitro IC50 there were no abnormal death ratios or macroscopic abnormalities observed in the chick embryos. These results suggest that MMV652103 may be associated with minimal side-effects. Promisingly, consistent with the in vitro data from this study, MMV652103 reduced MCF7 tumor weight as well as tumor cell metastases. Although the chick embryo model serves as a first in vivo proof-of-concept and is a powerful tool to eliminate early non-efficacious drug candidates, further analyses using alternative in vivo models such as the mouse model, would need to be employed to determine the pharmacokinetics, efficacy, and toxicity of MMV652103 more rigorously before proceeding to clinical trials.
Conclusion
The data presented here show that MMV652103 may be a promising candidate for repositioning as an anti-breast cancer agent because it displays potent and selective cytotoxicity in MCF7 and T47D ER+ breast cancer cells, inhibited the migratory ability of these cells, induced apoptotic and autophagic cell death. Importantly, in vivo MMV652103 displayed a favorable safety profile and reduced MCF7 tumor weight and metastasis.
Declaration
Acknowledgments
This work was supported by grants from the National Research Foundation of South Africa (S.P.), the South African Research Chairs Initiative of the Department of Science and Innovation, administered through the South African National Research Foundation (K.C.), the Cancer Association of South Africa (S.P.), the Medical Research Council of South Africa (S.P. and K.C.) and the University of Cape Town (S.P. and K.C.). The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding agencies.
Conflict of interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
References
- 1.Abrahams A, Mowla S, Parker MI, Goding CR, Prince S. UV-mediated regulation of the anti-senescence factor Tbx2. J Biol Chem. 2008;283:2223–30. doi: 10.1074/jbc.M705651200. [DOI] [PubMed] [Google Scholar]
- 2.Andrs M, Korabecny J, Jun D, Hodny Z, Bartek J, Kuca K. Phosphatidylinositol 3-Kinase (PI3K) and Phosphatidylinositol 3-Kinase-Related Kinase (PIKK) inhibitors: importance of the morpholine ring. J Med Chem. 2015;58:41–71. doi: 10.1021/jm501026z. [DOI] [PubMed] [Google Scholar]
- 3.Ashburn TT, Thor KB. Drug repositioning: identifying and developing new uses for existing drugs. Nat Rev Drug Discov. 2004;3:673–83. doi: 10.1038/nrd1468. [DOI] [PubMed] [Google Scholar]
- 4.Avisetti DR, Babu KS, Kalivendi SV. Activation of p38/JNK pathway is responsible for embelin induced apoptosis in lung cancer cells: transitional role of reactive oxygen species. PloS One. 2014;9:e87050. doi: 10.1371/journal.pone.0087050. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Badisa RB, Darling-Reed SF, Joseph P, Cooperwood JS, Latinwo LM, Goodman CB. Selective cytotoxic activities of two novel synthetic drugs on human breast carcinoma MCF-7 cells. Anticancer Res. 2009;29:2993–6. [PMC free article] [PubMed] [Google Scholar]
- 6.Barrett JE, Kim FJ. The purpose of repurposing. Oncotarget. 2017;8:12534–12535. doi: 10.18632/oncotarget.14806. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Berger C, Qian Y, Chen X. The p53-estrogen receptor loop in cancer. Curr Mol Med. 2013;13:1229–40. doi: 10.2174/15665240113139990065. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Bleloch JS, du Toit A, Gibhard L, Kimani S, Ballim RD, Lee M, et al. The palladacycle complex AJ-5 induces apoptotic cell death while reducing autophagic flux in rhabdomyosarcoma cells. Cell Death Discov. 2019;5:60. doi: 10.1038/s41420-019-0139-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Bogenrieder T, Herlyn M. Axis of evil: molecular mechanisms of cancer metastasis. Oncogene. 2003;22:6524–36. doi: 10.1038/sj.onc.1206757. [DOI] [PubMed] [Google Scholar]
- 10.Boller D, Doepfner KT, De Laurentiis A, Guerreiro AS, Marinov M, Shalaby T, et al. Targeting PI3KC2β impairs proliferation and survival in acute leukemia, brain tumours and neuroendocrine tumours. Anticancer Res. 2012;32:3015–27. [PubMed] [Google Scholar]
- 11.Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394–424. doi: 10.3322/caac.21492. [DOI] [PubMed] [Google Scholar]
- 12.Burger AM, Fiebig HH. Preclinical screening for new anticancer agents. In: Figg WD, McLeod HL, editors. Handbook of anticancer pharmacokinetics and pharmacodynamics. Cancer Drug Discovery and Development. Totowa, NJ: Humana Press; 2004. pp. 23–38. [Google Scholar]
- 13.Cattley RC, Radinsky BR. Cancer therapeutics: Understanding the mechanism of action. Toxicol Pathol. 2004;32:116–21. doi: 10.1080/01926230490426507. [DOI] [PubMed] [Google Scholar]
- 14.Cella D, Fallowfield LJ. Recognition and management of treatment-related side effects for breast cancer patients receiving adjuvant endocrine therapy. Breast Cancer Res Treat. 2008;107:167–80. doi: 10.1007/s10549-007-9548-1. [DOI] [PubMed] [Google Scholar]
- 15.Choi J-B, Kim J-H, Lee H, Pak J-N, Shim BS, Kim S-H. Reactive oxygen species and p53 mediated activation of p38 and caspases is critically involved in kaempferol induced apoptosis in colorectal cancer cells. J Agric Food Chem. 2018;66:9960–7. doi: 10.1021/acs.jafc.8b02656. [DOI] [PubMed] [Google Scholar]
- 16.Chu KME, Minogue S, Hsuan JJ, Waugh MG. Differential effects of the phosphatidylinositol 4-kinases, PI4KIIα and PI4KIIIβ, on Akt activation and apoptosis. Cell Death Dis. 2010;1:e106. doi: 10.1038/cddis.2010.84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Ciocca DR, Fanelli MA. Estrogen receptors and cell proliferation in breast cancer. Trends Endocrinol Metab. 1997;8:313–21. doi: 10.1016/s1043-2760(97)00122-7. [DOI] [PubMed] [Google Scholar]
- 18.Dalvai M, Bystricky K. Cell cycle and anti-estrogen effects synergize to regulate cell proliferation and er target gene expression. PLoS One. 2010;5:e11011. doi: 10.1371/journal.pone.0011011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Darzynkiewicz Z, Juan G, Li X, Gorczyca W, Murakami T, Traganos F. Cytometry in cell necrobiology: analysis of apoptosis and accidental cell death (necrosis) Cytometry. 1997;27:1–20. [PubMed] [Google Scholar]
- 20.Davies C, Pan H, Godwin J, Gray R, Arriagada R, Raina V, et al. Long-term effects of continuing adjuvant tamoxifen to 10 years versus stopping at 5 years after diagnosis of oestrogen receptor-positive breast cancer: ATLAS, a randomised trial. Lancet. 2013;381:805–16. doi: 10.1016/S0140-6736(12)61963-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Department of Health, Republic of South Africa. Ethics in health research: principles, processes and structures. 2nd ed. Pretoria: Department of Health; 2015. [Google Scholar]
- 22.Deryabin PI, Borodkina AV, Nikolsky NN, Burova EB. The relationship between p53/p21/Rb and MAPK signaling pathways in human endometrium-derived stem cells under oxidative stress. Cell Tissue Biol. 2016;10:185–93. [PubMed] [Google Scholar]
- 23.Engelman JA. Targeting PI3K signalling in cancer: opportunities, challenges and limitations. Nat Rev Cancer. 2009;9:550–62. doi: 10.1038/nrc2664. [DOI] [PubMed] [Google Scholar]
- 24.Fiebig HH, Maier A, Burger AM. Clonogenic assay with established human tumour xenografts. Eur J Cancer. 2004;40:802–20. doi: 10.1016/j.ejca.2004.01.009. [DOI] [PubMed] [Google Scholar]
- 25.Fruman DA, Meyers RE, Cantley LC. Phosphoinositide kinases. Annu Rev Biochem. 1998;67:481–507. doi: 10.1146/annurev.biochem.67.1.481. [DOI] [PubMed] [Google Scholar]
- 26.Gandalovičová A, Rosel D, Fernandes M, Veselý P, Heneberg P, Čermák V, et al. Migrastatics-anti-metastatic and anti-invasion drugs: promises and challenges. Trends Cancer. 2017;3:391–406. doi: 10.1016/j.trecan.2017.04.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Gartel AL, Tyner AL. The role of the cyclin-dependent kinase inhibitor p21 in apoptosis. Mol Cancer Ther. 2002;1:639–49. [PubMed] [Google Scholar]
- 28.Gavet O, Pines J. Progressive activation of CyclinB1-Cdk1 coordinates entry to mitosis. Dev Cell. 2010;18:533–43. doi: 10.1016/j.devcel.2010.02.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Giansanti V, Torriglia A, Scovassi AI. Conversation between apoptosis and autophagy: “Is it your turn or mine?”. Apoptosis. 2011;16:321–33. doi: 10.1007/s10495-011-0589-x. [DOI] [PubMed] [Google Scholar]
- 30.Gonzalez-Angulo AM, Morales-Vasquez F, Hortobagyi GN. Overview of resistance to systemic therapy in patients with breast cancer. Adv Exp Med Biol. 2007;608:1–22. doi: 10.1007/978-0-387-74039-3_1. [DOI] [PubMed] [Google Scholar]
- 31.Guan X. Cancer metastases: challenges and opportunities. Acta Pharm Sinica B. 2015;5:402–18. doi: 10.1016/j.apsb.2015.07.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144:646–74. doi: 10.1016/j.cell.2011.02.013. [DOI] [PubMed] [Google Scholar]
- 33.Harada T, Chelala C, Bhakta V, Chaplin T, Caulee K, Baril P, et al. Genome-wide DNA copy number analysis in pancreatic cancer using high-density single nucleotide polymorphism arrays. Oncogene. 2008;27:1951–60. doi: 10.1038/sj.onc.1210832. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Ilboudo A, Nault J-C, Dubois-Pot-Schneider H, Corlu A, Zucman-Rossi J, Samson M, et al. Overexpression of phosphatidylinositol 4-kinase type IIIα is associated with undifferentiated status and poor prognosis of human hepatocellular carcinoma. BMC Cancer. 2014;14:7. doi: 10.1186/1471-2407-14-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Jin X, Kang S, Tanaka S, Park S. Monitoring the glutathione redox reaction in living human cells by combining metabolic labeling with heteronuclear NMR. Angew Chem Int Ed Engl. 2016;55:7939–7942. doi: 10.1002/anie.201601026. [DOI] [PubMed] [Google Scholar]
- 36.Juvekar A, Burga LN, Hu H, Lunsford EP, Ibrahim YH, Balmañà J, et al. Combining a PI3K inhibitor with a PARP inhibitor provides an effective therapy for BRCA1-related breast cancer. Cancer Discov. 2012;2:1048–63. doi: 10.1158/2159-8290.CD-11-0336. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Kajstura M, Halicka HD, Pryjma J, Darzynkiewicz Z. Discontinuous fragmentation of nuclear DNA during apoptosis revealed by discrete “sub-G1” peaks on DNA content histograms. Cytometry A. 2007;71:125–131. doi: 10.1002/cyto.a.20357. [DOI] [PubMed] [Google Scholar]
- 38.Kim DH, Shin EA, Kim B, Shim BS, Kim S-H. Reactive oxygen species-mediated phosphorylation of p38 signaling is critically involved in apoptotic effect of Tanshinone I in colon cancer cells. Phytother Res. 2018;32:1975–82. doi: 10.1002/ptr.6126. [DOI] [PubMed] [Google Scholar]
- 39.Koch A, Tamez P, Pezzuto J, Soejarto D. Evaluation of plants used for antimalarial treatment by the Maasai of Kenya. J Ethnopharmacol. 2005;101:95–9. doi: 10.1016/j.jep.2005.03.011. [DOI] [PubMed] [Google Scholar]
- 40.Lambros MB, Fiegler H, Jones A, Gorman P, Roylance RR, Carter NP, et al. Analysis of ovarian cancer cell lines using array-based comparative genomic hybridization. J Pathol. 2005;205:29–40. doi: 10.1002/path.1681. [DOI] [PubMed] [Google Scholar]
- 41.Lapin V, Shirdel EA, Wei X, Mason JM, Jurisica I, Mak TW. Kinome-wide screening of HER2+ breast cancer cells for molecules that mediate cell proliferation or sensitize cells to trastuzumab therapy. Oncogenesis. 2014;3:e133. doi: 10.1038/oncsis.2014.45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Lau ATY, Wang Y, Chiu J-F. Reactive oxygen species: current knowledge and applications in cancer research and therapeutic. J Cell Biochem. 2008;104:657–67. doi: 10.1002/jcb.21655. [DOI] [PubMed] [Google Scholar]
- 43.Lazebnik Y. What are the hallmarks of cancer? Nat Rev Cancer. 2010;10:232–3. doi: 10.1038/nrc2827. [DOI] [PubMed] [Google Scholar]
- 44.Le Manach C, Gonzàlez Cabrera D, Douelle F, Nchinda AT, Younis Y, Taylor D, et al. Medicinal chemistry optimization of antiplasmodial imidazopyridazine hits from high throughput screening of a softfocus kinase library: Part 1. J Med Chem. 2014;57:2789–98. doi: 10.1021/jm500098s. [DOI] [PubMed] [Google Scholar]
- 45.Lee Y-H, Kang BS, Bae Y-S. Premature senescence in human breast cancer and colon cancer cells by tamoxifen-mediated reactive oxygen species generation. Life Sci. 2014;97:116–22. doi: 10.1016/j.lfs.2013.12.009. [DOI] [PubMed] [Google Scholar]
- 46.Lee YS, Kang YS, Lee SH, Kim JA. Role of NAD(P)H oxidase in the tamoxifen-induced generation of reactive oxygen species and apoptosis in HepG2 human hepatoblastoma cells. Cell Death Diff. 2000;7:925–32. doi: 10.1038/sj.cdd.4400717. [DOI] [PubMed] [Google Scholar]
- 47.Li A, Chen H, Lin M, Zhang C, Tang E, Peng J, et al. PIK3C2G copy number is associated with clinical outcomes of colorectal cancer patients treated with oxaliplatin. Int J Clin Exp Med. 2015;8:1137–1143. [PMC free article] [PubMed] [Google Scholar]
- 48.Li J, Lu Y, Zhang J, Kang H, Qin Z, Chen C. PI4KIIα is a novel regulator of tumor growth by its action on angiogenesis and HIF-1α regulation. Oncogene. 2010;29:2550–9. doi: 10.1038/onc.2010.14. [DOI] [PubMed] [Google Scholar]
- 49.Li J, Zhang L, Gao Z, Kang H, Rong G, Zhang X, et al. Dual inhibition of EGFR at protein and activity level via combinatorial blocking of PI4KIIα as anti-tumor strategy. Protein Cell. 2014;5:457–68. doi: 10.1007/s13238-014-0055-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Lopez J, Tait SWG. Mitochondrial apoptosis: killing cancer using the enemy within. Br J Cancer. 2015;112:957–62. doi: 10.1038/bjc.2015.85. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Majeed W, Aslam B, Javed I, Khaliq T, Muhammad F, Ali A, et al. Breast cancer: major risk factors and recent developments in treatment. Asian Pac J Cancer Prev. 2014;15:3353–8. doi: 10.7314/apjcp.2014.15.8.3353. [DOI] [PubMed] [Google Scholar]
- 52.Martini M, Ciraolo E, Gulluni F, Hirsch E. Targeting PI3K in cancer: Any good news? Front Oncol. 2013;3:108. doi: 10.3389/fonc.2013.00108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Massarweh S, Schiff R. Resistance to endocrine therapy in breast cancer: exploiting estrogen receptor/growth factor signaling crosstalk. Endocr Relat Cancer. 2006;13(Suppl 1):S15–S24. doi: 10.1677/erc.1.01273. [DOI] [PubMed] [Google Scholar]
- 54.McPhail JA, Burke JE. Drugging the Phosphoinositide 3-Kinase (PI3K) and Phosphatidylinositol 4-Kinase (PI4K) family of enzymes for treatment of cancer, immune disorders, and viral/parasitic infections. Adv Exp Med Biol. 2020;1274:203–222. doi: 10.1007/978-3-030-50621-6_9. [DOI] [PubMed] [Google Scholar]
- 55.Mizutani H, Tada-Oikawa S, Hiraku Y, Kojima M, Kawanishi S. Mechanism of apoptosis induced by doxorubicin through the generation of hydrogen peroxide. Life Sci. 2005;76:1439–53. doi: 10.1016/j.lfs.2004.05.040. [DOI] [PubMed] [Google Scholar]
- 56.Moiseenko FV, Volkov N, Bogdanov A, Dubina M, Moiseyenko V. Resistance mechanisms to drug therapy in breast cancer and other solid tumors: An opinion. F1000Res. 2017;6:288. doi: 10.12688/f1000research.10992.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Morrow AA, Alipour MA, Bridges D, Yao Z, Saltiel AR, Lee JM. The lipid kinase PI4KIIIβ is highly expressed in breast tumors and activates akt in cooperation with Rab11a. Mol Cancer Res. 2014;12:1492–508. doi: 10.1158/1541-7786.MCR-13-0604. [DOI] [PubMed] [Google Scholar]
- 58.Newsholme P, Rebelato E, Abdulkader F, Krause M, Carpinelli A, Curi R. Reactive oxygen and nitrogen species generation, antioxidant defenses, and β-cell function: a critical role for amino acids. J Endocrinol. 2012;214:11–20. doi: 10.1530/JOE-12-0072. [DOI] [PubMed] [Google Scholar]
- 59.Njoroge M, Njuguna NM, Mutai P, Ongarora DSB, Smith PW, Chibale K. Recent approaches to chemical discovery and development against malaria and the neglected tropical diseases human African trypanosomiasis and schistosomiasis. Chem Rev. 2014;114:11138–63. doi: 10.1021/cr500098f. [DOI] [PubMed] [Google Scholar]
- 60.Oprea TI, Mestres J. Drug repurposing: far beyond new targets for old drugs. AAPS J. 2012;14:759–63. doi: 10.1208/s12248-012-9390-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Pagano M, Pepperkok R, Verde F, Ansorge W, Draetta G. Cyclin A is required at two points in the human cell cycle. EMBO J. 1992;11:961–71. doi: 10.1002/j.1460-2075.1992.tb05135.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Pammolli F, Magazzini L, Riccaboni M. The productivity crisis in pharmaceutical R&D. Nat Rev Drug Discov. 2011;10:428–38. doi: 10.1038/nrd3405. [DOI] [PubMed] [Google Scholar]
- 63.Pan H, Gray R, Braybrooke J, Davies C, Taylor C, McGale P, et al. 20-year risks of breast-cancer recurrence after stopping endocrine therapy at 5 years. N Engl J Med. 2017;377:1836–46. doi: 10.1056/NEJMoa1701830. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Pantziarka P, Verbaanderd C, Sukhatme V, Capistrano R, Crispino S, Gyawali B, et al. ReDO_DB: the repurposing drugs in oncology database. Ecancermedicalscience. 2018;12:886. doi: 10.3332/ecancer.2018.886. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Pfeffer CM, Singh ATK. Apoptosis: a target for anticancer therapy. Int J Mol Sci. 2018;19:448. doi: 10.3390/ijms19020448. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Pilco-Ferreto N, Calaf GM. Influence of doxorubicin on apoptosis and oxidative stress in breast cancer cell lines. Int J Oncol. 2016;49:753–62. doi: 10.3892/ijo.2016.3558. [DOI] [PubMed] [Google Scholar]
- 67.Pinke DE, Lee JM. The lipid kinase PI4KIIIβ and the eEF1A2 oncogene co-operate to disrupt three-dimensional in vitro acinar morphogenesis. Exp Cell Res. 2011;317:2503–11. doi: 10.1016/j.yexcr.2011.08.002. [DOI] [PubMed] [Google Scholar]
- 68.Raingeaud J, Gupta S, Rogers JS, Dickens M, Han J, Ulevitch RJ, et al. Pro-inflammatory cytokines and environmental stress cause p38 mitogen-activated protein kinase activation by dual phosphorylation on tyrosine and threonine. J Biol Chem. 1995;270:7420–6. doi: 10.1074/jbc.270.13.7420. [DOI] [PubMed] [Google Scholar]
- 69.Redig AJ, McAllister SS. Breast cancer as a systemic disease: a view of metastasis. J Intern Med. 2013;274:113–26. doi: 10.1111/joim.12084. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Rudzka DA, Cameron JM, Olson MF. Reactive oxygen species and hydrogen peroxide generation in cell migration. Commun Integr Biol. 2015;8(5):e1074360. doi: 10.1080/19420889.2015.1074360. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.SABS, South African Bureau of Standards. South African National Standard: The care and use of animals for scientific purposes (SANS 10386:2008) Pretoria: SABS Standards Division; 2015. [Google Scholar]
- 72.Scannell JW, Blanckley A, Boldon H, Warrington B. Diagnosing the decline in pharmaceutical R&D efficiency. Nat Rev Drug Discov. 2012;11:191–200. doi: 10.1038/nrd3681. [DOI] [PubMed] [Google Scholar]
- 73.Schneider CA, Rasband WS, Eliceiri KW. NIH image to ImageJ: 25 years of image analysis. Nat Methods. 2012;9:671–5. doi: 10.1038/nmeth.2089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Shi Y, Felley-Bosco E, Marti TM, Orlowski K, Pruschy M, Stahel RA. Starvation-induced activation of ATM/Chk2/p53 signaling sensitizes cancer cells to cisplatin. BMC Cancer. 2012;12:571. doi: 10.1186/1471-2407-12-571. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Silva GO, He X, Parker JS, Gatza ML, Carey LA, Hou JP, et al. Cross-species DNA copy number analyses identifies multiple 1q21-q23 subtype-specific driver genes for breast cancer. Breast Cancer Res Treat. 2015;152:347–56. doi: 10.1007/s10549-015-3476-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Sionov RV, Haupt Y. The cellular response to p53: the decision between life and death. Oncogene. 1999;18:6145–57. doi: 10.1038/sj.onc.1203130. [DOI] [PubMed] [Google Scholar]
- 77.Teppo H-R, Soini Y, Karihtala P. Reactive oxygen species-mediated mechanisms of action of targeted cancer therapy. Oxid Med Cell Longev. 2017;2017:1485283. doi: 10.1155/2017/1485283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Trachootham D, Alexandre J, Huang P. Targeting cancer cells by ROS-mediated mechanisms: a radical therapeutic approach? Nat Rev Drug Discov. 2009;8:579–91. doi: 10.1038/nrd2803. [DOI] [PubMed] [Google Scholar]
- 79.Tsang WP, Chau SPY, Kong SK, Fung KP, Kwok TT. Reactive oxygen species mediate doxorubicin induced p53-independent apoptosis. Life Sci. 2003;73:2047–58. doi: 10.1016/s0024-3205(03)00566-6. [DOI] [PubMed] [Google Scholar]
- 80.Turrens JF. Mitochondrial formation of reactive oxygen species. J Physiol. 2003;552:335–44. doi: 10.1113/jphysiol.2003.049478. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Ungerleider NA, Rao SG, Shahbandi A, Yee D, Niu T, Frey WD, et al. Breast cancer survival predicted by TP53 mutation status differs markedly depending on treatment. Breast Cancer Res. 2018;20:115. doi: 10.1186/s13058-018-1044-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Venè R, Castellani P, Delfino L, Lucibello M, Ciriolo MR, Rubartelli A. The cystine/cysteine cycle and GSH are independent and crucial antioxidant systems in malignant melanoma cells and represent druggable targets. Antioxid Redox Signal. 2011;15:2439–53. doi: 10.1089/ars.2010.3830. [DOI] [PubMed] [Google Scholar]
- 83.Vojtĕsek B, Lane DP. Regulation of p53 protein expression in human breast cancer cell lines. J Cell Sci. 1993;105:607–12. doi: 10.1242/jcs.105.3.607. [DOI] [PubMed] [Google Scholar]
- 84.Waks AG, Winer EP. Breast cancer treatment. JAMA. 2019;321:288. doi: 10.1001/jama.2018.20751. [DOI] [PubMed] [Google Scholar]
- 85.Waring MJ, Arrowsmith J, Leach AR, Leeson PD, Mandrell S, Owen RM, et al. An analysis of the attrition of drug candidates from four major pharmaceutical companies. Nat Rev Drug Discov. 2015;14:475–86. doi: 10.1038/nrd4609. [DOI] [PubMed] [Google Scholar]
- 86.Waugh MG. Amplification of chromosome 1q genes encoding the phosphoinositide signalling enzymes PI4KB, AKT3, PIP5K1A and PI3KC2B in breast cancer. J Cancer. 2014;5:790–6. doi: 10.7150/jca.9794. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Weisman PS, Ng CKY, Brogi E, Eisenberg RE, Won HH, Piscuoglio S, et al. Genetic alterations of triple negative breast cancer by targeted next-generation sequencing and correlation with tumor morphology. Mod Pathol. 2016;29:476–88. doi: 10.1038/modpathol.2016.39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Wong RS. Apoptosis in cancer: from pathogenesis to treatment. J Exp Clin Cancer Res. 2011;30:87. doi: 10.1186/1756-9966-30-87. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Yang W, Soares J, Greninger P, Edelman EJ, Lightfoot H, Forbes S, et al. Genomics of Drug Sensitivity in Cancer (GDSC): A resource for therapeutic biomarker discovery in cancer cells. Nucl Acids Res. 2013;41:955–61. doi: 10.1093/nar/gks1111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Yu T, MacPhail SH, Banáth JP, Klokov D, Olive PL. Endogenous expression of phosphorylated histone H2AX in tumors in relation to DNA double-strand breaks and genomic instability. DNA Repair. 2006;5:935–46. doi: 10.1016/j.dnarep.2006.05.040. [DOI] [PubMed] [Google Scholar]