- Research article
- Open Access
MCL-1 inhibition provides a new way to suppress breast cancer metastasis and increase sensitivity to dasatinib
Breast Cancer Researchvolume 18, Article number: 125 (2016)
Metastatic disease is largely resistant to therapy and accounts for almost all cancer deaths. Myeloid cell leukemia-1 (MCL-1) is an important regulator of cell survival and chemo-resistance in a wide range of malignancies, and thus its inhibition may prove to be therapeutically useful.
To examine whether targeting MCL-1 may provide an effective treatment for breast cancer, we constructed inducible models of BIMs2A expression (a specific MCL-1 inhibitor) in MDA-MB-468 (MDA-MB-468-2A) and MDA-MB-231 (MDA-MB-231-2A) cells.
MCL-1 inhibition caused apoptosis of basal-like MDA-MB-468-2A cells grown as monolayers, and sensitized them to the BCL-2/BCL-XL inhibitor ABT-263, demonstrating that MCL-1 regulated cell survival. In MDA-MB-231-2A cells, grown in an organotypic model, induction of BIMs2A produced an almost complete suppression of invasion. Apoptosis was induced in such a small proportion of these cells that it could not account for the large decrease in invasion, suggesting that MCL-1 was operating via a previously undetected mechanism. MCL-1 antagonism also suppressed local invasion and distant metastasis to the lung in mouse mammary intraductal xenografts. Kinomic profiling revealed that MCL-1 antagonism modulated Src family kinases and their targets, which suggested that MCL-1 might act as an upstream modulator of invasion via this pathway. Inhibition of MCL-1 in combination with dasatinib suppressed invasion in 3D models of invasion and inhibited the establishment of tumors in vivo.
These data provide the first evidence that MCL-1 drives breast cancer cell invasion and suggests that MCL-1 antagonists could be used alone or in combination with drugs targeting Src kinases such as dasatinib to suppress metastasis.
Metastatic disease remains largely incurable and accounts for almost all cancer deaths. Metastasis is a multistep process where primary tumor cells escape and colonize distant organs and tissues. There are several steps that lead to the acquisition of this lethal phenotype, which include epithelial to mesenchymal transition, cytoskeletal remodeling and cellular movement, intravasation, survival in the vasculature, extravasation and the acquisition of cellular properties of the distant niche. Importantly, cell survival underlies every stage of this process . Myeloid cell leukemia-1 (MCL-1) is a potent survival factor for normal and malignant tissues and is associated with chemo-resistance in a wide range of tumor types . For this reason, there is great interest in the development of small molecule pharmaceuticals that inhibit MCL-1, with some compounds showing high specificity and potent anti-tumor effects in vitro [3, 4], but the poor pharmacokinetics of these compounds limits their use in vivo.
MCL-1 is a member of the BCL-2 family of proteins that regulate the intrinsic (mitochondrial) apoptotic cascade . MCL-1 interacts with the pro-apoptotic BCL-2 family members and protects normal and malignant cells from undergoing programmed cell death. The pro-apoptotic family members include two subgroups: the BH3-only sensor proteins (e.g., BIM, NOXA and PUMA), which trigger the intrinsic apoptotic cascade in response to cytotoxic insults or cellular stresses; and BAX and BAK, the apoptotic effectors . Following a death stimulus, BAX and BAK change conformation and oligomerize, leading to outer mitochondrial membrane permeabilization and the release of apoptogenic factors, leading eventually to cell death. MCL-1 is more than just a BCL-2-like survival factor . MCL-1 is anti-apoptotic at the outer mitochondrial membrane, but can localize to the inner mitochondrial membrane, where it regulates oxidative phosphorylation and the maintenance of mitochondrial structure . MCL-1 can also interact with CDK1, PCNA and CHK1 in the nucleus, where it regulates cell cycle progression and DNA damage . Hence MCL-1 is a protein with multiple functions in mitochondrial-dependent cell death machinery, metabolic oxidative phosphorylation and DNA damage responses.
The MCL-1 gene is one of the most frequent focal amplifications in breast cancer, occurring in approximately 30% of cases . High MCL-1 expression has been found to correlate with poor prognosis in mixed breast cancers  and de-novo copy number amplification correlates with therapeutic resistance [8–12]. MCL-1 is a key player in resistance to a wide range of therapies [9, 11, 13]. MCL-1 protein is observed in most breast cancer subtypes . MCL-1 also has been shown to confer the survival of breast cancer cells in vitro . These data suggest that MCL-1 could provide a therapeutic target for a wide range of breast cancer patients.
Here, we have modeled MCL-1 antagonism in breast cancer cell lines by inducible expression of a modified form (L62A/F69A double mutant) of the short isoform of BIM (BIMs2A/2A), which mimics the actions of a highly specific small molecule antagonist . This genetic approach was chosen because it was effective in models of acute myeloid leukemia and can be precisely controlled using inducible vector systems [16, 17]. BIMs2A acts similarly to NOXA because it binds preferentially and with high affinity to the hydrophobic pocket of MCL-1, thereby releasing bound BH3-only proteins and blocking engagement with activated BAX/BAK. Unlike NOXA and knockdown strategies, BIMs2A binds and disrupts the interactions of MCL-1, while maintaining its stability. The effects of this antagonist on cell death, invasion and metastasis were examined in vitro, using traditional culture techniques and a novel model of cell invasion, and in vivo using cell lines grown as intraductal xenografts, a technique that recapitulates the requirement for cancer cells to breach the basement membrane of the mammary duct to metastasize.
Additional materials and methods are provided in Additional file 1.
Immune-compromised NODScidIL2gamma–/– mice were housed in SPF conditions in a 12-hour:12-hour light:dark cycle and given food and water ad libitum. Doxycycline (DOX)-containing food (700 mg/kg) was purchased from Gordon’s Specialty Stock Feeds and replaced weekly. Intraductal injections were modified from a previously described protocol without a Y incision in the abdomen . For longitudinal studies, mice were randomized into DOX-treated or control-treated groups and monitored twice weekly for tumor growth, and measurements were taken until an ethical end point of 10% tumor burden or prior if the animal succumbed to tumor/metastasis-induced morbidity. For cross-sectional studies, mice were again randomized into DOX-treated or control-treated groups and sacrificed at 9 weeks (MDA-MB-231-2A xenografts) or 12 weeks (MDA-MB-468-2A xenografts) post tumor cell inoculation. For tail vein injections, mice were injected (with 1,500,000 MDA-MB-231-2A cells or with 2,000,000 MDA-MB-468-2A and MDA-MB-157 cells) using a 100 μl injection into the dorsal tail vein before harvest at 9 weeks post injection. At the end of the experiment, as indicated in the figures, mice were euthanized with CO2 asphyxiation and the mammary glands, tumor and lungs were harvested and fixed for 4 hours in 10% buffered formalin at room temperature. Where possible, mammary glands were whole mounted and tissues were processed for histology as described previously . After fixation, the mammary glands, tumors or lungs were sectioned and either stained with hematoxylin and eosin for routine histochemistry or stained with BIM (CST 2933), high molecular weight cytokeratin (Leica 34BE12), Vimentin (Leica NCL-L-VIM-V9), MCL-1 (ThermoScience MA5-13932), Cleaved Caspase-3 (CST ASP175 9664), multi-cytokeratin (Leica C-11) and Ki67 (ThermoScientific SP6) using DAKO immunohistochemistry as per the manufacturer’s instructions. All sections from tumors and lungs in each model were cut, sectioned, retrieved and stained at the same time permitted with each antigen.
2D and 3D in-vitro experiments
Pools of BIMs2A or empty vector (EV) cells were made by routine cloning into an all-in-one tetracycline inducible vector (SH570MK as detailed in Additional file 1) and selected using Puromycin. BIMs2A expression was induced with 2 μg/ml DOX or vehicle control daily in the media and cells were harvested at the time points indicated in the figures. Annexin V PI staining was performed using the Annexin V-FITC Apoptosis Kit (Biovision, CA, USA) as per the manufacturer’s instructions. ABT-263 (5 μg/ml) was added to the media at the indicated times. For siRNA experiments, 5 nM siRNAs targeting MCL-1 (DHA-L-004384-00-0005) or non-targeting control siRNA (D-001206-14-05) was premixed with RNAiMAX (ThermoFisher) and cells were transfected the day after plating at a density of 1 × 105 cells per well with ON-TARGETplus SmartPools of MCL-1 or nontargeting controls siRNAs as per the manufacturer’s instructions. A1210477 and UMI-77 (Selleckchem, MA, USA) was added to the media at 5 or 10 μM respectively as indicated in the figures. Dasatinib (Bristol-Myers Squibb, Princeton, NJ, USA) was added to the media in 2D and 3D at a concentration of 1 μM and 200 nM respectively. 3D collagen I/fibroblast models were performed as described previously .
Human invasive carcinoma breast tissue microarrays
Immunohistochemistry was used to assay MCL-1 protein expression using a mouse monoclonal antibody to MCL-1 (ThermoFischer (Pierce) MA5-13932) on TMAs constructed from tumors from a cohort of 292 patients diagnosed with invasive ductal breast carcinoma described in . MCL-1 protein could only be detected in a subset of 246 of these cases due to missing or folded cores. The cohort consists of cases of invasive ductal carcinoma of no special type, median age 54 (range 24–87), with a median follow-up of 64 months (range 0–152.1). Of these, 68.6% were ER+, 57.1% were PR+, 18.7% were HER-2 amplified (by FISH) and 43.3% were lymph node-positive. Endocrine therapy (TAM) was given to 49.3% of patients and chemotherapy (AC or CMF) to 38%.
Polyacrylamide gel electrophoresis, immunoprecipitation and western blotting
Immunoprecipitates were made using antibodies to MCL-1 (ThermoScience MA5-13932), BCL-2 (Millipore 05-729) and BCL-XL (CST 2764) using the TrueBlot kit according to the manufacturer’s instructions (Rockland Immunochemicals). Then 20 μg reduced protein was loaded in each well of 12% NuPAGE SDS polyacrylamide gels (Life Technologies) and separated using electrophoresis. Proteins were transferred to Immun-Blot PVDF (Biorad) and analyzed by western blot for mouse MCL-1 (CST 5453), BCL-2 (Millipore 05-729), BIM (CST 2933), PUMA (CST 4976), NOXA (ENZO ALX-804-C10), p53 (Epitomics 1026-1), Cofilin (total) (CST 5175), S3-Cofilin (CST 3313) and beta-ACTIN (Santa Cruz AC-74, A5316).
3D organotypic collagen I/fibroblast invasion assay
The production of contracted matrices is described elsewhere  and detailed methods are provided in Additional file 1. Contracted matrices were seeded with 1 × 105 MDA-MB-231-2A cells and allowed to grow for 4 days, mounted on a metal grid and raised to an air–liquid interface to initiate invasion, which resulted in the matrix being fed from below with the media supplemented with either vehicle, DOX, dasatinib or a combination of DOX and dasatinib commencing at seeding (day 1) or 5 days after seeding (day 5). All treatments were performed on three independent matrices. Cells were allowed to invade for a total of 10 days towards the chemo-attractive gradient created by the air–liquid interface and then harvested for immunohistochemistry for multi-cytokeratin (Leica-Novocastra C-11) (invasion), Ki67 (ThermoScientific SP6) (proliferation) or Cleaved Caspase 3 (Cell Signaling Asp175 5A) (apoptosis) and scored as detailed in Additional file 1.
Image analysis and statistical analysis
Quantification of the number and size of metastases (using sections stained with an antibody against human-Vimentin) and BIM intensity (using an antibody raised against human BIM) was performed using macros designed using FIJI image analysis software (http://fiji.sc/Fiji) that are available from the corresponding author and are described in Additional file 1. Chi-squared analysis, Kaplan–Meier survival analysis and univariate analysis (UVA) using the Cox proportional hazards model were performed to determine correlations between MCL-1, clinicopathological features and outcome performed in Statview SE. All other data and statistics were analyzed in Prism6 for MacOSX. Data were graphed and parametric or nonparametric tests, as indicated in the figure legends, were used for normally distributed and skewed data respectively, and statistically significant groups were determined using bars as shown in the figures.
MCL-1 is widely expressed in breast cancer cell lines
We investigated the levels of MCL-1 and the other BCL-2 family members BCL-2, MCL-1, BIM, PUMA and NOXA in 32 human breast cancer and immortalized breast epithelial cell lines (Fig. 1a). Variable levels of MCL-1 and BCL-XL were detected in all cell lines. BCL-2 levels were more variable, with only a small proportion (5/32, 15%) displaying high expression. MCL-1 was present in 17 cell lines with low or zero levels of BCL-2 (Fig. 1a). The MCL-1-interacting BH3-only proteins BIM, PUMA and NOXA were expressed at varying levels in all cell lines tested (Fig. 1a).
MCL-1 protein was widely expressed by invasive breast carcinomas independently of subtype and was predictive of overall survival
We investigated the importance of MCL-1 copy number variations and expression in breast tumors using publically available datasets. Gains and amplifications in MCL-1 copy number were observed in 14% of all cases in the TCGA dataset (CBioPortal [22, 23]). Increased MCL-1 copy number was also more frequently observed in invasive ductal carcinoma compared with normal tissues (TCGA, Oncomine ; Additional file 2: Figure S1A). MCL-1 mRNA expression correlated with advancing disease stage in the METABRIC dataset (Additional file 2: Figure S1B). Using publically available data sets obtained from NCBI GEO (KM Plotter ), we then investigated whether MCL-1 expression correlates with overall outcome. Three independent MCL-1 mRNA probes corresponding to Variant 1 (200798_x_at) and full-length MCL-1 (214057_at and 214056_at) were investigated, and the breast cancer cohort was split into untreated and treated cases (Additional file 2: Figure S1C, D). High MCL-1 mRNA expression predicted poor outcome in the untreated cases and the effects were reversed in the treated patients (Additional file 2: Figure S1C, D), but the hazard ratios in all cases were modest. Basal and HER2 amplified cases showed poor outcome when MCL-1 expression was low, with much stronger hazard ratios of 0.3 (n = 94 cases) and 0.08 (n = 30 cases) respectively. A similar nonsignificant trend was observed in the luminal A breast cancers (n = 68) but not in the luminal B subtypes (n = 115).
We then explored the prognostic significance of MCL-1 using tissue microarrays from a cohort of 246 patients diagnosed with invasive breast carcinoma . MCL-1 immunohistochemistry displayed a variable expression pattern across tumors, ranging from absent to strong expression (0–3+) (Fig. 1b). MCL-1 expression was detected in the cytoplasm and in the nucleus of invasive carcinoma cells, with some heterogeneity observed within tumors (Fig. 1c, d). Cytoplasmic MCL-1 levels were lower in HER2-positive tumors compared with luminal A tumors but no other significant differences were observed (Fig. 1c, d). High cytoplasmic MCL-1 levels (Histoscore > 100) were modestly associated with improved breast cancer specific survival (log-rank Mantle Cox p = 0.04, hazard ratio = 0.54, 95% confidence interval 0.295–0.975; Fig. 1e). Nuclear MCL-1 expression was not predictive of outcome and no other significant effects on survival were observed when the cases were split into subtypes. High cytoplasmic MCL-1 expression was also positively correlated with the expression of the pro-apoptotic protein PUMA (chi-squared p < 0.0001, relative risk 1.75, 95% confidence interval 1.302–2.338).
Models of MCL-1 antagonism using BIMs2A, a MCL-1 specific sequence
To investigate whether MCL-1 antagonism was sufficient to induce cell death, genetic models were generated using the MCL-1 positive breast cancer cell lines MDA-MB-468 and MDA-MB-231. These lines are representative of the triple-negative subtype, which is often the most difficult to treat due to rapid disease progression . The MDA-MB-468 cell line is characteristic of Basal A tumors (Fig. 1a indicated in red) while the MDA-MB-231 cell line is typical of claudin-low tumors (Fig. 1a indicated in blue). MCL-1 protein is found in both cell lines with lower levels observed in the MDA-MB-231 cell line.
To antagonize MCL-1, we expressed the BIMs2A sequence, a BIMs mutant (L62A/F69A) that selectively binds MCL-1 over BCL-2, BCL-XL, BCL-W and BFL-1 , using a DOX-inducible expression system. BIMs2A mimics small molecule BH3 mimetics by binding to the hydrophobic pocket and stabilizing MCL-1 levels. DOX treatment strongly induced BIMs2A by 24 hours in both MDA-MB-468 (MDA-MB-468-2A) and MDA-MB-231 (MDA-MB-231-2A) cell lines (Fig. 2a, b). Increased MCL-1 was observed in both cell lines with no alteration in the levels of BCL-2 or BCL-XL (Fig. 2a, b), consistent with the effects observed in mouse embryonic fibroblasts . MCL-1, BCL-XL and BCL-2 immune precipitates showed that endogenous MCL-1:BIM, BCL-2:BIM and BCL-XL:BIM complexes were present in both cell lines in control conditions (Fig. 2c, d). Induction of BIMs2A resulted in BIMs2A binding preferentially to MCL-1 as expected (Fig. 2c, d).
MCL-1 antagonism induced cell death of MDA-MB-468-2A cells and suppressed invasion of MDA-MB-231-2A cells in a 3D organotypic collagen I/fibroblast invasion assay
MCL-1 antagonism induced apoptosis of MDA-MB-468-2A cells grown as monolayers on plastic, seen as increased caspase 3 cleavage (Fig. 2a) and Annexin V/PI positivity (Fig. 2e), 48 hours after induction of BIMs2A. There was no effect observed in EV control cells treated with DOX (Fig. 2e). No significant death was observed in MDA-MB-231-2A cells grown on plastic (Fig. 2f). MDA-MB-468-2A cells were slightly more sensitive to the BCL-2/BCL-XL inhibitor ABT-263 after 24 hours of DOX exposure (Fig. 2g), suggesting that BCL-2/BCL-XL conferred partial resistance to MCL-1 inhibition and/or that MCL-1 antagonism sensitized the cells to ABT-263. MDA-MB-231-2A cells were highly sensitive to ABT-263 as described previously , but no additional effects were observed when combined with MCL-1 inhibition (Fig. 2h).
MCL-1 knockdown was compared with induction of BIMs2A in all cell lines (Additional file 3: Figure S2A). Cultures of MDA-MB-468-2A and MDA-MB-468-EV cells were mostly destroyed by MCL-1 knockdown via siRNAs targeting MCL-1, with significant effects of MOCK or nontargeting transfection alone (Additional file 3: Figure S2A, upper panels). This observation illustrates an artifact produced by knocking down an apoptosis suppressor using reagents that induce apoptosis. MDA-MB-231-2A or MDA-MB-231-EV cells, which have low levels of MCL-1, were insensitive to knockdown of MCL-1, as they were to BIMs2A. These data support our findings using the BIMs2A antagonist, and show the benefit of the mimetic approach over knockdown.
We then examined the effects of small molecule inhibitors of MCL-1, A1210477  and UMI-77 , on apoptosis in these 2D models (Additional file 3: Figure S2B). Treatment with 5 μM A1210477 or UMI-77 was as effective as BIMs2A in MDA-MB-468-2A cells, with greater effects observed at 10 μM. Once again MDA-MB-231-2A cells were largely insensitive. A1210477 and UMI-77 also produced a significant increase in death in MDA-MB-157 cells, which also have relatively high levels of MCL-1, but no significant effects of these agents were observed in the MCL-1 low HCC1937 cells. Hence, the current pharmaceutical inhibitors of MCL-1 mimic induction of BIMs2A.
The effects of MCL-1 antagonism were also examined in a 3D organotypic in vitro model of invasion that more accurately recapitulates key aspects of the in vivo microenvironment . MDA-MB-231-2A cells were seeded onto contracted collagen I matrices embedded with fibroblasts (Fig. 3a), transferred to an air–liquid interface and allowed to invade within the chemo-attractive gradient over a period of 10 days (Fig. 3b). BIMs2A was induced with supplementation of DOX in the media on day 1 of invasion (Fig. 3c–h, day 1). DOX treatment resulted in a significant reduction in the ability of MDA-MB-231-2A cells to invade (Fig. 3c, d), independent of potential effects on proliferation (Fig. 3e, f). In a post-invasion scenario, where we allowed the cells to invade for 5 days before DOX treatment (Fig. 3c–h, day 5), invasion was also significantly reduced (Fig. 3c, d) and proliferation was unaffected (Fig. 3e, f). As expected, induction of BIMs2A resulted in a modest increase in apoptosis in both conditions; however, apoptotic cells accounted for only a small proportion of the total population of cells and therefore could not account for the observed large reduction in invasion (Fig. 3g, h). MCL-1 antagonism prior to or after the initiation of invasion thus has anti-invasive effects in vitro.
MCL-1 antagonism impaired tumor growth and reduced lung metastasis
The effects of MCL-1 antagonism on invasion were examined in vivo using a mammary intraductal injection technique , which requires cells to breach the basement membrane of the mammary duct to become locally invasive or metastatic (Fig. 4a). Mammary intraductal injection places breast cancer cells in a mammary tissue niche during tumor establishment and this maintains the phenotypic characteristics of the xenograft . We observed that intraductal injection promotes metastatic progression in MDA-MB-468-2A cells. In mice bearing xenografts of MDA-MB-468-2A cells, induction of BIMs2A significantly reduced the rate of tumor growth, doubling the survival times of control mice (median survival: DOX 165 days vs Control 74 days; Fig. 4b, c and Additional file 3: Figure S2A, B). Induction of BIMs2A reduced the rate of onset of MDA-MB-231-2A xenografts (Fig. 4d), but there was no significant effect of BIMs2A on subsequent time to ethical end point (median survival: DOX 38 days vs Control 40 days; Fig. 4e). Immunohistochemistry confirmed strong and heterogeneous expression of BIMs2A in MDA-MB-468-2A primary tumors (Fig. 4f, DOX) and MDA-MB-231-2A primary tumors (Fig. 4g, DOX), confirming that BIMs2A was induced in the tumors.
We next investigated the effects of MCL-1 antagonism on the ability of triple-negative breast cancer cells to disseminate to the lung, using cohorts of mice bearing MDA-MB-468-2A and MDA-MB-231-2A mammary intraductal xenografts. Tumors and lungs were collected from these mice at 9 (MDA-MB-231-2A) and 12 weeks (MDA-MB-468-2A) (Fig. 4a), and lung metastases including single cell foci were visualized using anti-human pan-Cytokeratin or Vimentin immunohistochemistry (Fig. 4h and i, respectively). BIMs2A levels in tumors and lungs was analyzed using anti-human BIM immunohistochemistry (Additional file 4: Figure S4A and B respectively). A range of BIMs2A expression was observed among the individual cells of the primary tumors produced from MDA-MB-468-2A and MDA-MB-213-2A cell lines in mice fed DOX food (Additional file 4: Figure S4A). This observation was expected because the xenografted material was derived from pools of SH570MK-BIMs2A-infected cells. There were fewer and smaller metastases in the lungs from DOX-fed mice (Additional file 4: Figure S4C, D), however, these metastases lacked BIMs2A expression despite a predominance of cells expressing BIMs2A in the primary tumors (Additional file 4: Figure S4B), showing that only cells which did not express the BIMs2A antagonist could metastasize. To statistically analyze this effect we corrected these data using levels of BIMs2A expression observed in primary tumors (Additional file 4: Figure S4A, quantified in Additional file 4: Figure S4E, F), and showed a significant reduction in both the size and number of metastases in mice bearing both MDA-MB-468-2A and MDA-MB-231-2A xenografts (Fig. 4j, k and Additional file 4: Figure S4G, H). These data show, through a cellular competition assay, that MCL-1 antagonism by BIMs2A potently suppresses the ability of a tumor cell to metastasize.
We investigated whether MCL-1 antagonism could suppress cell seeding to the lung via tail vein injection (Additional file 4: Figure S4I–L). In this model, MCL-1 antagonism produced a trend towards reduced number and area of lung metastases produced from tail vein injections of MDA-MB-468-2A (Additional file 4: Figure S4I), but significantly suppressed the ability of MDA-MB-231-2A cells to survive and colonize the lung (Additional file 4: Figure S4J), where we observed an almost complete reduction in the size and number of lung metastases. Immunohistochemistry once again revealed that all cells that had colonized the lungs did not express the BIMs2A antagonist (Additional file 4: Figure S4K, L), indicating (as observed in the earlier intraductal models of metastasis) that only those cells which did not express the BIMs2A antagonist were able to survive and colonize the lung. Hence, expression of the BIMs2A ligand inhibited lung colonization. In addition we treated a cohort of mice injected with MDA-MB-157 cells with A1210477 or vehicle and observed a trend toward reduced metastases size that did not reach statistical significance (Additional file 4: Figure S4K). Importantly these mice showed no overt signs of systemic toxicity, suggesting that a therapeutic window for systemic MCL-1 suppression can be achieved. Together our data show that MCL-1 antagonism suppresses metastatic progression.
MCL-1 antagonism increased the sensitivity of MDA-MB-231-2A cells to dasatinib
We then explored how MCL-1 might be regulating metastatic progression by profiling the kinome of MDA-MB-468-2A cells 24 hours after BIMs2A induction, prior to the onset of apoptosis, using Kinexus Antibody Microarrays. MCL-1 antagonism altered the levels of a large number of proteins important for invasion (Additional file 5: Figure S5A) [29, 30]. We observed changes in many SRC family kinases and their targets important in invasion, including a small increase in total CSK (cSRC tyrosine kinase), a negative regulator of SRC family kinases  (gain +53%). We also observed decreased total levels of the SRC family kinase, FYN, and the SFK target, ABL, which was increased by MCL-1 antagonism (63% and –20%, respectively). Loss of phosphorylation was also detected for Paxillin (–63%) and Vimentin (–71%), targets of SRC family kinase activity [32, 33]. MCL-1 antagonism also decreased the auto-phosphorylation site Y1148 in EGFR (–67%), proposed to be involved in the regulation of invasion by Src . These data suggest that MCL-1 antagonism modulated the output of the SRC family kinases.
We also detected an increase in S3 phosphorylation of Cofilins 1 and 2 (+31% and +138%, respectively), an additional protein important for invasion. Cofilin is localized to invadopodia in MDA-MB-231-2A cells where phosphorylation of serine 3 suppresses actin-severing and polymerization function [29, 30]. Western blot analysis revealed that the ratio of S3 Cofilin to total Cofilin was significantly greater in MDA-MB-231-2A intraductal xenografts treated with DOX compared with control, with a similar trend observed in MDA-MB-468-2A xenografts (Additional file 5: Figure S5C). Immunofluorescence using antibodies against total Cofilin and phosphorylated Cofilin in MDA-MB-231-2A cells grown as monolayers also showed the same effect, with DOX treatment resulting in lower total Cofilin levels and increased serine 3 phosphorylation (Additional file 5: Figure S5D). Finally, proximity ligation assays using specific antibodies to MCL-1 and Cofilin in MDA-MB-231-2A cells revealed a novel interaction of MCL-1 with Cofilin that occurs throughout the content of MDA-MB-231-2A cells (Additional file 5: Figure S5E). Hence our data suggest that MCL-1 may regulate two modes of invasion: firstly those regulated by the SRC family kinases, and secondly those that involve the cytoskeletal remodeling protein Cofilin.
Because there are pharmaceutical compounds that target SRC family kinases, such as dasatinib, which have been shown to be anti-invasive in multiple cancer types [35–37], we assessed the efficacy of combining MCL-1 antagonism with dasatinib treatment. When grown as monolayers on plastic, MDA-MB-468-2A cells were sensitive to dasatinib as a single agent alone, but DOX induction of BIMs2A amplified these effects (Additional file 6: Figure S6, top left panel). MDA-MB-468-EV control cells were equally sensitive to dasatinib and DOX treatment had no further effect (Additional file 6: Figure S6, lower left panel). MDA-MB-231-2A and MDA-MB-231-EV cells were largely insensitive to dasatinib as a single agent when grown as monolayers in 2D (Additional file 6: Figure S6, right panels). In contrast, when seeded onto contracted collagen I matrices, dasatinib significantly reduced their invasive capacity (Fig. 5a, b), and induction of BIMs2A significantly enhanced this effect, particularly when treatment was administered at day 1 of matrix seeding (Fig. 5a, b). BIMs2A, dasatinib or their combination had no effect on cell proliferation over the 10-day course of the experiment, whether treated at seeding or 5 days of invasion (Fig. 5a, c). Dasatinib also had no effects on apoptosis in MDA-MB-231-2A cells as a single agent (Fig. 5a, d). BIMs2A produced a small but significant increase in apoptosis in these cells when treatment was initiated at seeding or after 5 days of invasion, and dual therapy increased these effects (Fig. 5a, d).
In MDA-MB-231-2A intraductal xenografts in vivo, single-agent dasatinib had limited effects. Induction of MCL-1 inhibition with DOX alone had a slightly greater effect than dasatinib alone. Treatment with DOX and dasatinib significantly delayed the onset of mammary tumorigenesis (Fig. 5f, g), and metastasis to the lung was inhibited in all conditions compared with control (Fig. 5h).
MCL-1 amplification occurs in approximately 30% of breast cancers and increased expression is associated with the acquisition of chemo-resistance and relapse , making MCL-1 an attractive therapeutic target. In our study, cytoplasmic MCL-1 protein was detected in all clinico-pathological subtypes of invasive breast cancer and breast cancer cell lines. High cytoplasmic MCL-1 protein levels correlated with high expression of PUMA. MCL-1 has previously been shown to be coexpressed with BIM across all subtypes of invasive breast carcinoma  and this expression pattern was recapitulated in our panel of human breast cancer cell lines. Endogenous MCL-1:BIM complexes are also present in the responsive triple-negative breast cancer cell lines in this study. Potentially these complexes might reveal tumors that are ready to respond to therapy . This hypothesis is supported by the data presented from published data sets and tissue microarrays showing that the highest levels of MCL-1 mRNA and protein were protective for overall survival in treated cases. MCL-1 levels in triple-negative and HER2 breast cancers may provide a biomarker of response to routine chemotherapy (basal cancers) and anti-HER2 therapy (HER2 amplified cases). Importantly, the data presented reveal that for tumors with the poorest outcome, which have the lowest levels of MCL-1 (i.e., represented by the MDA-MB-231 cell line), MCL-1 antagonism via a BH3-mimetic strategy can inhibit invasion and metastatic progression and is effective in combination with SRC family kinase inhibition by dasatinib.
Inducible expression of the specific MCL-1 inhibitory sequence BIMs2A produced disparate responses in MDA-MB-468-2A and MDA-MB-231-2A cell lines. BIMs2A expression resulted in apoptosis of MCL-1 high MDA-MB-468-2A cells in 2D cultures and more than doubled the median survival times of mice bearing MDA-MB-468-2A xenografts. In contrast, MCL-1 antagonism had limited effects on MCL-1 low MDA-MB-231-2A cells when grown as monolayers in vitro but delayed tumor onset in mice bearing MDA-MB-231-2A xenografts. One reason for this discrepancy may be the differential expression of MCL-1 in both cell lines. In support of this hypothesis, we showed that MDA-MB-157 cells, which also have high levels of MCL-1, were sensitive to pharmacological inhibition of MCL-1, but that this was not apparent in the MCL-1 low HCC-1937 cells. Also, MDA-MB-231-2A cells are dependent on BCL-2/XL for their survival, as indicated by their sensitivity to ABT-263. Further, the levels of the MCL-1 interacting partners (e.g., pro-apoptotic BH3-only proteins) may play a role in sensitivity to MCL-1 antagonism as has been reported before . For example, MDA-MB-231 cell lines have lower BIM levels than the other three cell lines examined in this study. Another possibility is context specificity. MCL-1 antagonism produced a small but significant effect on apoptosis in MDA-MB-231-2A cells in the 3D organotypic model system, increased the latency to the onset of tumorigenesis and suppressed metastasis in vivo. Hence signaling from the extracellular matrix may play an important role in sensitivity to MCL-1 antagonism. Interestingly, both cell lines are sensitive to anoikis when assayed in PolyHEMA assays, although BIMs2A increased this effect only in MDA-MB-468-2A cell lines (Additional file 7: Figure S7). Finally, xenografted MDA-MB-468-2A tumors grew more slowly than MDA-MB-231-2A tumors (Additional file 8: Figure S3), perhaps accounting for the difference in tumor end point specific survival.
Metastasis requires directed cellular invasion into the host stroma and is stimulated by chemo-attractants, and requires remodeling of the cytoskeleton, dynamic membrane changes, cellular invasion and localized destruction of the host stroma . Using 3D organotypic cultures in vitro and mammary intraductal xenografts in vivo, which more faithfully recapitulate this important tissue context, we revealed a previously undiscovered function of MCL-1. MCL-1 antagonism profoundly suppressed invasion and metastasis in our 3D organotypic model and in xenografts in mice. The weakly metastatic MDA-MB-468 and MDA-MB-157 cells could not be used in the 3D organotypic model in vitro, but showed similar effects on metastatic progression in response to MCL-1 antagonism in vivo. Kinomic profiling suggested that two key pathways involved in invasion were altered in response to MCL-1 antagonism. The first pathway via modulation of the activity of SRC family kinases, important proteins involved in invasion, and the second via a potential interaction with Cofilin [30, 41]. Although currently beyond the scope of this manuscript, future work understanding the invasion networks regulated by MCL-1 will yield insights into novel targeted approaches that inhibit metastasis. Importantly, the data presented show that in addition to its roles in survival, mitochondrial function and cell cycle, MCL-1 also regulates invasion.
We also showed that dual targeting of MCL-1 by BIMs2A and SRC family kinases by dasatinib potently suppressed invasion and the onset to tumorigenesis. Phase II clinical trials of single-agent dasatinib have shown durable and objective clinical responses in a small proportion (5%) of patients with locally advanced and metastatic triple-negative breast cancer . Combination trials show better results; for example, phase I clinical trials of dasatinib with capecitabine show clinical response rates of 56% in unselected patients. Other trials combining dasatinib with paclitaxel and bosutinib with exemestane are currently underway in patients with advanced metastatic breast cancer and are reporting improved responses compared with single agents alone. Hence although some promising results have been observed for SRC family kinase inhibitors, like dasatinib, in clinical trials for breast cancer, the efficacy of this and other SRC family kinase inhibitors will likely be improved by combining these drugs with others that increase potency. The data presented here suggest that MCL-1 antagonism via small molecule BH3 mimetics may provide a potential way to enhance the effects of SRC family kinase inhibitors.
The data presented provide first evidence for the efficacy of MCL-1 inhibition for the suppression of metastasis in triple-negative breast cancer. We revealed a previously undiscovered role for MCL-1 as a regulator of invasion, and thus MCL-1 does not merely act as a regulator of survival. This study provides the first in-vivo evidence to support the efficacy of MCL-1 BH3 mimetics [4, 43] in triple-negative breast cancer as single agents, and in combination with SRC family kinase inhibitors such as dasatinib.
BIMs2A L62A/F69A BIM mutant
Doxorubicin (adriamycin), cyclophosphamide
BCL-2-antagonist/killer 1 (BCL-2-like 7)
BCL2-associated X protein (BCL-2-like 4)
B-cell CLL/lymphoma 2
Apoptosis regulator BCL-X (BCL2-Like 1)
BCL-2 mediator of cell death (BCL2-Like 11)
L62A/F69A BIM mutant
Cyclin-dependent kinase 1
Checkpoint kinase 1
Cyclophosphamide methotrexate fluorouracil
Copy number variation
Ethical end point
Fluorescence in-situ hybridization
Human Research Ethics Committee
Myeloid cell leukemia 1
Phorbol-12-myristate-13-acetate-induced protein 1
P53 Up-regulated modulator of apoptosis (BBC3)
Sodium dodecyl sulfate
Specific pathogen free
The Cancer Genome Atlas
Talmadge JE, Fidler IJ. AACR centennial series: the biology of cancer metastasis: historical perspective. Cancer Res. 2010;70(14):5649–69.
Perciavalle RM, Opferman JT. Delving deeper: MCL-1’s contributions to normal and cancer biology. Trends Cell Biol. 2013;23(1):22–9.
Leverson JD, Zhang H, Chen J, Tahir SK, Phillips DC, Xue J, Nimmer P, Jin S, Smith M, Xiao Y, et al. Potent and selective small-molecule MCL-1 inhibitors demonstrate on-target cancer cell killing activity as single agents and in combination with ABT-263 (navitoclax). Cell Death Dis. 2015;6:e1590.
Xiao Y, Nimmer P, Sheppard GS, Bruncko M, Hessler P, Lu X, Roberts-Rapp L, Pappano WN, Elmore SW, Souers AJ, et al. MCL-1 is a key determinant of breast cancer cell survival: validation of MCL-1 dependency utilizing a highly selective small molecule inhibitor. Mol Cancer Ther. 2015;14(8):1837–47.
Strasser A, Cory S, Adams JM. Deciphering the rules of programmed cell death to improve therapy of cancer and other diseases. Embo J. 2011;30(18):3667–83.
Perciavalle RM, Stewart DP, Koss B, Lynch J, Milasta S, Bathina M, Temirov J, Cleland MM, Pelletier S, Schuetz JD, et al. Anti-apoptotic MCL-1 localizes to the mitochondrial matrix and couples mitochondrial fusion to respiration. Nat Cell Biol. 2012;14(6):575–83.
Jamil S, Stoica C, Hackett TL, Duronio V. MCL-1 localizes to sites of DNA damage and regulates DNA damage response. Cell Cycle. 2010;9(14):2843–55.
Beroukhim R, Mermel CH, Porter D, Wei G, Raychaudhuri S, Donovan J, Barretina J, Boehm JS, Dobson J, Urashima M, et al. The landscape of somatic copy-number alteration across human cancers. Nature. 2010;463(7283):899–905.
Ding Q, He X, Xia W, Hsu JM, Chen CT, Li LY, Lee DF, Yang JY, Xie X, Liu JC, et al. Myeloid cell leukemia-1 inversely correlates with glycogen synthase kinase-3beta activity and associates with poor prognosis in human breast cancer. Cancer Res. 2007;67(10):4564–71.
Balko JM, Giltnane JM, Wang K, Schwarz LJ, Young CD, Cook RS, Owens P, Sanders ME, Kuba MG, Sanchez V, et al. Molecular profiling of the residual disease of triple-negative breast cancers after neoadjuvant chemotherapy identifies actionable therapeutic targets. Cancer Discov. 2014;4(2):232-45.
Nguyen M, Marcellus RC, Roulston A, Watson M, Serfass L, Murthy Madiraju SR, Goulet D, Viallet J, Belec L, Billot X, et al. Small molecule obatoclax (GX15-070) antagonizes MCL-1 and overcomes MCL-1-mediated resistance to apoptosis. Proc Natl Acad Sci U S A. 2007;104(49):19512–7.
Quinn BA, Dash R, Azab B, Sarkar S, Das SK, Kumar S, Oyesanya RA, Dasgupta S, Dent P, Grant S, et al. Targeting Mcl-1 for the therapy of cancer. Expert Opinion Invest Drugs. 2011;20(10):1397–411.
Oh B, Park S, Pak JH, Kim I. Downregulation of Mcl-1 by daunorubicin pretreatment reverses resistance of breast cancer cells to TNF-related apoptosis-inducing ligand. Biochem Biophys Res Commun. 2012;422(1):42–7.
Oakes SR, Vaillant F, Lim E, Lee L, Breslin K, Feleppa F, Deb S, Ritchie ME, Takano E, Ward T, et al. Sensitization of BCL-2-expressing breast tumors to chemotherapy by the BH3 mimetic ABT-737. Proc Natl Acad Sci U S A. 2012;109(8):2766–71.
Lee EF, Czabotar PE, van Delft MF, Michalak EM, Boyle MJ, Willis SN, Puthalakath H, Bouillet P, Colman PM, Huang DC, et al. A novel BH3 ligand that selectively targets Mcl-1 reveals that apoptosis can proceed without Mcl-1 degradation. J Cell Biol. 2008;180(2):341–55.
Glaser SP, Lee EF, Trounson E, Bouillet P, Wei A, Fairlie WD, Izon DJ, Zuber J, Rappaport AR, Herold MJ, et al. Anti-apoptotic Mcl-1 is essential for the development and sustained growth of acute myeloid leukemia. Genes Dev. 2012;26(2):120–5.
Gong JN, Khong T, Segal D, Yao Y, Riffkin CD, Garnier JM, Khaw SL, Lessene G, Spencer A, Herold MJ, et al. Hierarchy for targeting pro-survival BCL2 family proteins in multiple myeloma: pivotal role of MCL1. Blood. 2016;128:1834-44.
Behbod F, Kittrell FS, LaMarca H, Edwards D, Kerbawy S, Heestand JC, Young E, Mukhopadhyay P, Yeh HW, Allred DC, et al. An intraductal human-in-mouse transplantation model mimics the subtypes of ductal carcinoma in situ. Breast Cancer Res. 2009;11(5):R66.
Oakes SR, Robertson FG, Kench JG, Gardiner-Garden M, Wand MP, Green JE, Ormandy CJ. Loss of mammary epithelial prolactin receptor delays tumor formation by reducing cell proliferation in low-grade preinvasive lesions. Oncogene. 2007;26(4):543–53.
Timpson P, McGhee EJ, Erami Z, Nobis M, Quinn JA, Edward M, Anderson KI. Organotypic collagen I assay: a malleable platform to assess cell behaviour in a 3-dimensional context. J Vis Exp. 2011;56:e3089.
Millar EK, Anderson LR, McNeil CM, O’Toole SA, Pinese M, Crea P, Morey AL, Biankin AV, Henshall SM, Musgrove EA, et al. BAG-1 predicts patient outcome and tamoxifen responsiveness in ER-positive invasive ductal carcinoma of the breast. Br J Cancer. 2009;100(1):123–33.
Cerami E, Gao J, Dogrusoz U, Gross BE, Sumer SO, Aksoy BA, Jacobsen A, Byrne CJ, Heuer ML, Larsson E, et al. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discov. 2012;2(5):401–4.
Gao J, Aksoy BA, Dogrusoz U, Dresdner G, Gross B, Sumer SO, Sun Y, Jacobsen A, Sinha R, Larsson E, et al. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci Signal. 2013;6(269):l1.
Rhodes DR, Yu J, Shanker K, Deshpande N, Varambally R, Ghosh D, Barrette T, Pandey A, Chinnaiyan AM. ONCOMINE: a cancer microarray database and integrated data-mining platform. Neoplasia (New York, NY). 2004;6(1):1–6.
Gyorffy B, Lanczky A, Eklund AC, Denkert C, Budczies J, Li Q, Szallasi Z. An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients. Breast Cancer Res Treat. 2010;123(3):725–31.
O’Toole SA, Beith JM, Millar EKA, West R, McLean A, Cazet A, Swarbrick A, Oakes SR. Therapeutic targets in triple negative breast cancer. J Clin Pathol. 2013;66(6):530–42.
Abulwerdi F, Liao C, Liu M, Azmi AS, Aboukameel A, Mady AS, Gulappa T, Cierpicki T, Owens S, Zhang T, et al. A novel small-molecule inhibitor of mcl-1 blocks pancreatic cancer growth in vitro and in vivo. Mol Cancer Ther. 2014;13(3):565–75.
Sflomos G, Dormoy V, Metsalu T, Jeitziner R, Battista L, Scabia V, Raffoul W, Delaloye JF, Treboux A, Fiche M, et al. A preclinical model for ERalpha-positive breast cancer points to the epithelial microenvironment as determinant of luminal phenotype and hormone response. Cancer Cell. 2016;29(3):407–22.
Oser M, Yamaguchi H, Mader CC, Bravo-Cordero JJ, Arias M, Chen X, Desmarais V, van Rheenen J, Koleske AJ, Condeelis J. Cortactin regulates cofilin and N-WASp activities to control the stages of invadopodium assembly and maturation. J Cell Biol. 2009;186(4):571–87.
Oser M, Condeelis J. The cofilin activity cycle in lamellipodia and invadopodia. J Cell Biochem. 2009;108(6):1252–62.
Okada M. Regulation of the SRC family kinases by Csk. Int J Biol Sci. 2012;8(10):1385–97.
Schaller MD. Paxillin: a focal adhesion-associated adaptor protein. Oncogene. 2001;20(44):6459–72.
Shah K, Vincent F. Divergent roles of c-Src in controlling platelet-derived growth factor-dependent signaling in fibroblasts. Mol Biol Cell. 2005;16(11):5418–32.
Jorissen RN, Walker F, Pouliot N, Garrett TP, Ward CW, Burgess AW. Epidermal growth factor receptor: mechanisms of activation and signalling. Exp Cell Res. 2003;284(1):31–53.
Creedon H, Brunton VG. Src kinase inhibitors: promising cancer therapeutics? Crit Rev Oncog. 2012;17(2):145–59.
Karim SA, Creedon H, Patel H, Carragher NO, Morton JP, Muller WJ, Evans TR, Gusterson B, Sansom OJ, Brunton VG. Dasatinib inhibits mammary tumour development in a genetically engineered mouse model. J Pathol. 2013;230(4):430–40.
Morton JP, Karim SA, Graham K, Timpson P, Jamieson N, Athineos D, Doyle B, McKay C, Heung MY, Oien KA, et al. Dasatinib inhibits the development of metastases in a mouse model of pancreatic ductal adenocarcinoma. Gastroenterology. 2010;139(1):292–303.
Goodwin CM, Rossanese OW, Olejniczak ET, Fesik SW. Myeloid cell leukemia-1 is an important apoptotic survival factor in triple-negative breast cancer. Cell Death Differ. 2015; 22(12):2098-106.
Deng J, Carlson N, Takeyama K, Dal Cin P, Shipp M, Letai A. BH3 profiling identifies three distinct classes of apoptotic blocks to predict response to ABT-737 and conventional chemotherapeutic agents. Cancer Cell. 2007;12(2):171–85.
Yamaguchi H, Wyckoff J, Condeelis J. Cell migration in tumors. Curr Opin Cell Biol. 2005;17(5):559–64.
Mader CC, Oser M, Magalhaes MA, Bravo-Cordero JJ, Condeelis J, Koleske AJ, Gil-Henn H. An EGFR-Src-Arg-cortactin pathway mediates functional maturation of invadopodia and breast cancer cell invasion. Cancer Res. 2011;71(5):1730–41.
Finn RS, Bengala C, Ibrahim N, Roche H, Sparano J, Strauss LC, Fairchild J, Sy O, Goldstein LJ. Dasatinib as a single agent in triple-negative breast cancer: results of an open-label phase 2 study. Clin Cancer Res. 2011;17(21):6905–13.
Kotschy A, Szlavik Z, Murray J, Davidson J, Maragno AL, Le Toumelin-Braizat G, Chanrion M, Kelly GL, Gong JN, Moujalled DM, et al. The MCL1 inhibitor S63845 is tolerable and effective in diverse cancer models. Nature. 2016;538(7626):477–82.
The authors thank Ms Gillian Lehrbach for assistance with tissue culture, the staff of the Garvan Institute animal facilities in Moss Vale and Sydney, and Ms Alice Boulghourjian and Ms Anaiis Zaratzian for their assistance with histology. They thank Dr Colin K.W. Watts for his critical review of this manuscript and Ms Cheryl Grant for her consumer advocacy in relation to this project.
This work was supported by grants from the National Breast Cancer Foundation (Fellowships ECF-13-08), UNSW Australian Postgraduate Award and German Research Foundation (GSC-4, Spemann Graduate School and the SFB850) (to MK and TB), Cure Cancer Australia Foundation, Cancer Council NSW, NHMRC Australia, ARC Future Fellowship (FT150100212) (to EFL), Banque Nationale de Paris-Paribas Australia & New Zealand, RT Hall Trust, The Mostyn Family Foundation, and Estee Lauder Australia. The Olivia Newton-John Cancer Research Institute and La Trobe University acknowledges the Operational Infrastructure Support Program of the Victorian Government, Australia for partial funding of this project. (to WDF and EFL).
Availability of data and materials
The data sets supporting the conclusions of this article are included within the article (and its additional files).
CJO and SRO are joint senior authors. AY cloned BIMs2A into the SH570MK vector and made the stable cells, and performed and analyzed the in-vitro and in-vivo experiments with BIMs2A, MCL-1 inhibitors, siRNA and dasatinib. AMKL designed the FIJI Image analyses algorithms and analyzed the anti-high molecular weigh cytokeratin, Vimentin and BIM immunochemistry in tumors and lungs. LC helped perform the tail vein injections and harvested tissue for immunohistochemistry. SC helped perform the in-vivo metastasis cross-sectional studies. HDC helped perform the apoptosis and anoikis assays. MCL performed and analyzed the 3D organotypic assays. DH and AA helped perform the 3D organotypic studies. MK and SH co-designed the SH570MK all-in-one inducible vector system. TB co-designed and provided the SH570MK all-in-one inducible vector system. EFL co-invented and provided the BIMs2A ligand. WDF co-invented and provided the BIMs2A ligand. Pathologist EEKM provided the invasive breast cancer tissue microarrays and scored the TMAs. Second pathologist SAO provided the invasive breast cancer tissue microarrays and analyzed the TMA data. PT provided materials for the 3D organotypic assays and helped edit the manuscript. DNW participated in study design. DG-O invented the refined intraductal xenograft technique. CJO was involved in study design and provided financial support and helped edit the manuscript. SRO conceived and designed the study, interpreted and analyzed the data, made the figures, drafted and edited the manuscript. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
Consent for publication
Ethics approval and consent to participate
All animal procedures were approved by the Garvan/St Vincent’s Animal Ethics and Experimentation Committees (Approval number 14/27) according to the Animal Research Act 1985, Animal Research Regulation 2010 and the Australia code of practice for the care and use of animals for scientific purposes, 7th Edition 2004. The use of human tissues and consent to participate was approved by the Human Research Ethics Committee of St Vincent’s Hospital, Sydney (HREC SVH H94/080, SVH H00/36).
showing supplementary materials and methods. (DOCX 31 kb)
showing MCL-1 expression in human breast cancer. (A) Box–whisker plot depicting the average copy number units (log2) of MCL-1 in invasive ductal breast carcinoma (IDC) in the TCGA2012 cohort: normal n = 111, IDC n = 638. Median, and first and third quartiles indicated by the box, data minimum and maximum points by the bars. (B) Box–whisker plot, format as for (A), depicting the mean centered intensity of MCL-1 mRNA expression in invasive breast carcinoma across stages in the METABRIC dataset. Stage 0 n = 425, Stage I n = 257, Stage I n = 446, Stage II n = 69 and Stage IV n = 8. (C) Kaplan–Meier survival curves and log-rank p values of time to overall survival of patients with triple-negative breast cancer and with MCL-1 CNV alteration. Kaplan–Meier survival curves of overall survival using cases from KM Plotter time using three independent MCL-1 mRNA probes corresponding to Variant 1 (200798_x_at) and full-length MCL-1 (214057_at and 214056_at). Separate Kaplan–Meier survival curves are provided for untreated and treated cases. Treated cases were then split into individual curves split by histopathological subtype. Significant log-rank p values are proved in red and nonsignificant values in black (D) Table depicting the number of cases and the range and optimal cutoff probe values used for each of the Kaplan–Meier curves from (C). (JPG 2111 kb)
showing the apoptotic effect of MCL-1 siRNA and MCL-1 inhibitors on MDA-MB-468-2A and MDA-MB-231-2A, MDA-MB-157 and HCC-1937 cells. (A) MCL-1 siRNA. Bar graphs depicting the average fraction of apoptotic cells, measured as total Annexin V-positive by flow cytometry, for cells and treatments as indicated at 48 hours. Error bars show standard error of the mean. (B) MCL-1 inhibitors. Bar graphs of apoptosis as measured in (A) for cells and treatments as indicated. For A1210477 and UMI-77: + treated with 5 μM, ++ treated with 10 μM. All graphs are the average of three independent experiments. Bars indicate statistically significant groups, p value unpaired t tests. (JPG 1192 kb)
showing BIMs2A expression is induced by DOX in MDA-MB-468-2A and MDA-MB-231-2A xenograft tumors but not induced in the cells from these xenografts that formed the lung metastases. Representative immunohistochemistry images using an antibody to human BIM in the tumors (A) and the lungs (B) of mice bearing MDA-MB-468-2A and MDA-MB-231-2A intraductal xenografts fed DOX or control food. Dotted lines, areas of metastases. Quantitation of the average raw numbers (#) and % area of metastasis in the lungs of mice bearing (C) MDA-MB-468-2A (n = 7) and (D) MDA-MB-231-2A (n = 6) intraductal xenografts after mice were fed DOX or control (C) food. Comparison of the average intensity of human BIM (BIMs2A) in the tumors and the corresponding lung metastases of mice bearing (E) MDA-MB-468-2A (n = 7) and (F) MDA-MB-231-2A (n = 6) intraductal xenografts after mice were fed DOX or control (C) food. Expression of lung metastatic burden relative to the levels of BIMs2A expression in tumors of (G) MDA-MB-468-2A (n = 7) and (H) MDA-MB-231-2A (n = 6) intraductal xenografts. Quantitation of the average number (#) of metastasis and % area of metastasis in the lungs of mice given tail vein injections of (I) MDA-MB-468-2A (n = 10) and (J) MDA-MB-231-2A (n = 10) and given DOX or control (C) food. Quantitation of the average intensity of human BIM (BIMs2A) in the lungs of mice given tail vein injections of (K) MDA-MB-468-2A (n = 10) and (L) MDA-MB-231-2A 2A (n = 10) and given DOX or control (C) food. Quantitation of the average number (#) of metastasis and % area of metastasis in the lungs of mice given tail vein injections of (M) MDA-MB-157 cells and treatment with A1210477 (n = 5) or vehicle control (n = 5). Bars indicate statistically significant groups, Mann–Whitney p value. (JPG 2091 kb)
showing that MCL-1 antagonism resulted in changes in proteins involved in SRC family kinase signaling and phosphorylation at serine3 of Cofilin. (A) Normalized z-ratio (a measure of statistical significance) of phosphorylated and total proteins (as indicated) in MDA-MB-468-2A cells at 24 hours after treatment with DOX compared with control cells. (B) Western blots of serine 3 phosphorylated Cofilin, total Cofilin and Actin in xenografts of MDA-MB-468-2A and MDA-MB-231-2A fed DOX food as indicated. (C) Bar graphs depicting the ratio of serine 3 phosphorylated Cofilin to total Cofilin from (B). Bars indicate statistically significant groups, Mann–Whitney p value. (D) Immunofluorescence of Cofilin and p-Cofilin MDA-MB-231-2A cells grown on fibronectin 24 hours after DOX or vehicle treatment. (E) Proximity ligation assays using antibodies to MCL-1 and Cofilin (green), Phalloidin (red) and Dapi (blue) in MDA-MB-231-2A cells. (JPG 1419 kb)
showing that MCL-1 antagonism and Dasatinib treatment induced apoptosis in MDA-MB-468-2A cells but not MDA-MB-231-2A cells when grown in 2D monolayer cultures. Bar graphs depicting the average fraction of apoptotic cells (total Annexin V-positive by flow cytometry) as indicated after 24 hours after treatment with vehicle, DOX, 5 μM A1210477 and 5 μM UMI-77 alone and in combination with 1 μM dasatinib after 24 hours. All graphs and western blots are the average of three independent experiments. Bars indicate statistically significant groups, p value paired t tests. (JPG 1029 kb)
showing that MCL-1 antagonism increased sensitivity to anoikis in MDA-MB-468-2A but not MDA-MB-231-2A cells. Bar graphs depicting the average fraction of apoptotic cells (total Annexin V-positive by flow cytometry) in MDA-MB-468-2A (A) and MDA-MB-231-2A (B) plated as monolayers in culture (normal) or onto PolyHEMA treated plates and harvested at 24 hours after plating. ANOVA p value, dashes indicate statistically significant groups. Bars indicate statistically significant groups, p value paired t tests. (JPG 409 kb)
showing that MCL-1 antagonism by BIMs2A slows tumor growth in mice bearing MDA-MB-468-2A xenografts but not MDA-MB-231-2A xenografts. (A–F) Line graphs depicting the tumor growth curves of MDA-MB-468-2A xenografts (A, B) and MDA-MB-231-2A xenografts (C, D) from mice fed with DOX or control food. Linear regression of these curves shown in B and D respectively. A comparison of the growth rate of tumors in mice bearing MDA-MB-468-2A (black) and MDA-MB-231-2A (red) xenografts fed with control food (E, F). (JPG 1348 kb)