Abstract
We sought to investigate the utility of ebastine (EBA), a second-generation antihistamine with potent anti-metastatic properties, in the context of breast cancer stem cell (BCSC)-suppression in triple-negative breast cancer (TNBC). EBA binds to the tyrosine kinase domain of focal adhesion kinase (FAK), blocking phosphorylation at the Y397 and Y576/577 residues. FAK-mediated JAK2/STAT3 and MEK/ERK signaling was attenuated after EBA challenge in vitro and in vivo. EBA treatment induced apoptosis and a sharp decline in the expression of the BCSC markers ALDH1, CD44 and CD49f, suggesting that EBA targets BCSC-like cell populations while reducing tumor bulk. EBA administration significantly impeded BCSC-enriched tumor burden, angiogenesis and distant metastasis while reducing MMP-2/-9 levels in circulating blood in vivo. Our findings suggest that EBA may represent an effective therapeutic for the simultaneous targeting of JAK2/STAT3 and MEK/ERK for the treatment of molecularly heterogeneous TNBC with divergent profiles. Further investigation of EBA as an anti-metastatic agent for the treatment of TNBC is warranted.
Similar content being viewed by others
Introduction
Breast cancer can be classified into four phenotypes including luminal A, luminal B, HER2-positive, and triple-negative breast cancer (TNBC), according to the molecular expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) [1]. TNBC is negative for ER, PR, and HER2, and there are therefore no targeted therapies available for TNBC patients, with the standard of care relying on cytotoxic therapy [2]. According to clinical findings reported in 2021, the 5-year relative survival rate for TNBC patients with distant metastasis is only 12%, highlighting the critical unmet needs for these patients [3].
The high incidence of recurrence and metastasis in TNBC is thought to be due to the existence of breast cancer stem cells (BCSCs) within the primary bulk tumor [4]. BCSCs are characterized by high expression of the CD44 cell surface marker, low expression of CD24 (CD44high/CD24low), aldehyde dehydrogenase 1 (ALDH1) activity, and the capacity to form mammospheres with self-renewal properties [5, 6]. Epithelial-to-mesenchymal transition (EMT) leads to aggressive tumor growth and is responsible for the metastatic spread of cancer, conferring cell mobility and invasive behavior, beginning with the loss of basal cellular polarity and cell–cell adhesion [7].
Focal adhesion kinase (FAK) is a key component within the focal adhesion complex that harbors tyrosine kinase activity and participates in the acquisition of EMT, cell adhesion, migration and invasion, as well as the maintenance of BCSC-like traits [8, 9]. Of particular note, abnormal upregulation of phospho-FAK (Y397) is frequently observed in TNBC patients with higher histologic grades and Ki-67 proliferative index [10]. FAK consists of an N-terminal 4.1-erzin-radixin-moesin (FERM) domain, a central kinase domain with catalytic activity, and a focal adhesion targeting domain [11]. Autophosphorylation at Y397, located between the terminal and central kinase areas of the FERM domain, induces FAK/Src signaling, causing phosphorylation of the FAK catalytic domain at Y576/577 and consequently leading to JAK/STAT3, PI3K/Akt and MEK/ERK signaling [12]. These pro-survival signaling pathways are potential therapeutic targets in TNBC.
Ebastine (EBA) is a piperidine derivative small molecule (Fig. 1A) that exhibits antitumor effects in a variety of carcinomas [13,14,15]. However, the effect of EBA on TNBC stem-like properties remains unclear. Recently, several antihistamines have been reported to elicit antitumor effects in various carcinomas [14]. We sought to investigate the interaction between EBA and the FAK kinase domain in the context of anti-metastatic potential in TNBC.
Results
Ebastine (EBA) reduces cell viability and induces apoptosis in TNBC cells
TNBC cells (MDA-MB-231, BT549 and 4T1) treated with EBA (0–40 μM, 24–48 h) exhibited concentration-dependent reductions in cell viability (Fig. 1B). Cell cycle analysis revealed that EBA significantly induced G2/M phase arrest and increased sub-G1 accumulation, suggesting that EBA simultaneously induces cytostatic and cytotoxic effects in TNBC cells (p < 0.01, Fig. 1C). Furthermore, treatment with EBA (10–20 μM, for 48 h) resulted in markedly higher proportions of TNBC cells in early and late apoptosis (p < 0.05, Fig. 1D). EBA-induced apoptosis was accompanied by the activation of caspases, as evidenced by increased caspase-8 cleavage as well as caspase-3/-7 activation coinciding with subsequent PARP cleavage (p < 0.05, Fig. 1E–F). Treatment with EBA (0.01–40 µM, 48 h) was found to be less sensitive to normal fibroblast NIH/3T3 cells than in the TNBC cells, as evidenced by IC50 values from 2.17-fold up to 4.91-fold higher (Supplementary Fig. S1A). It is noteworthy that EBA induced enhancement of apoptosis in TNBC cells, but did not affect apoptosis in non-malignant NIH/3T3 cells (Supplementary Fig. S1B).
EBA suppresses FAK phosphorylation by targeting its kinase domain
Analysis of the breast cancer patient dataset revealed that FAK is overexpressed in subtypes, with the highest levels in TNBC (p < 0.0001, Fig. 2A–B). Increases in FAK expression correlated with higher breast cancer tumor grade, and aberrant FAK overexpression was associated with reduced overall survival (p < 0.001, Fig. 2C–D). Exposure of MDA-MB-231, 4T1 and BT549 cells to EBA (10–20 μM, 48 h) significantly downregulated phospho-FAK (Y397, Y576/577) and phospho-Src (Y419) (p < 0.01, Fig. 2E–F and Supplementary Fig. S2 and S3). Confocal microscopy analysis further supported the notion that EBA treatment resulted in a marked reduction in phospho-FAK (Y397) expression in TNBC cells (Fig. 2G and Supplementary Fig. S4).
Docking simulations using the crystal structure of FAK (PDB: 4EBV, residues 410–686) showed that EBA can fit into the tyrosine kinase domain at the ATP-binding pocket between the N- and C-terminal lobes (Fig. 2H). The binding pose of EBA to FAK consists mainly of the seven hydrophobic interactions with amino acids Phe478, Phe542, Val552, Leu562, Pro585 and Cys611. Importantly, EBA is stabilized by two hydrogen bonds with the 4-ter-butylbenzonyl group, where the carboxyl oxygen atom interacts with Asn551 (3.00 Å) and Gly563 (2.75 Å). In addition, two π–stacking interactions were formed between a benzene ring in the diphenyl-methyl moiety and an active residue Trp588 (Fig. 2I–J).
EBA targets breast cancer stem cell (BCSC)-like properties in TNBC
Major hallmarks associated with BCSCs include aldehyde dehydrogenase 1 (ALDH1) activity, subpopulations of CD44high/CD24low and CD49fhigh/CD24high, and mammosphere-forming ability [16]. An Aldefluor-positivity assay revealed concentration-dependent reductions in ALDH1 activity in response to EBA treatment (p < 0.001, Fig. 3A). A significant reduction in the CD44high/CD24low stem-like population was observed in MDA-MB-231 and BT549 cells in the presence of EBA, as well as the murine BCSC-phenotype CD49fhigh/CD24high population (p < 0.05, Fig. 3B).
Mammosphere formation can be used to analyze undifferentiated stem/progenitor cells and subpopulations with self-renewal capacity in breast cancer [17]. Mammospheres derived from 4T1 and BT549 cells had higher ALDH1A1 and CD49f protein content compared to their adherent counterparts (p < 0.05, Fig. 3C–D and Supplementary Fig. S5), supporting previous findings [18]. A marked upregulation of phospho-FAK (Y397) was observed during mammosphere formation (Fig. 3D). Kaplan–Meier curves revealed that the overall survival of breast cancer patients with the high expression of ALDH1A1 and FAK, shorter survival was observed (log-rank test, p = 0.0187, Fig. 3E). ALDH1-positive and ALDH1–negative cells were sorted from BCSC-enriched mammospheres (Fig. 3F and Supplementary Fig. S6), and fluorescence intensity analysis showed that ALDH1-positive cells had higher levels of phospho-FAK (Fig. 3G). Increased levels of the phospho-FAK and BCSC markers ALDH1A1, CD49f and Nanog in mammospheres were significantly downregulated following EBA treatment (Fig. 3H and Supplementary Fig. S7). EBA appears to eradicate BCSC-like populations, as evidenced by increased levels of cleaved caspase-3 and PARP degradation in mammospheres (p < 0.01, Fig. 3I). This response correlated with significant impairment of mammosphere formation in TNBC cells by EBA treatment (p < 0.001, Fig. 3J and Supplementary Fig. S8 and S9).
EBA simultaneously targets multiple pro-survival signaling pathways
EBA significantly downregulated protein levels of EGFR, MEK, and ERK and suppressed their phosphorylation in MDA-MB-231 and BT549 cells (p < 0.05, Fig. 4A–B and Supplementary Fig. S10A-B). Marked reductions in the expression and phosphorylation of JAK2/STAT3 after EBA treatment was followed by downregulation of the downstream factors cyclin D1 and survivin (p < 0.05, Fig. 4C–D and Supplementary Fig. S10C-D). MEK/ERK and STAT3 signaling was highly activated in BCSC-enriched 4T1 mammospheres, but these effects were completely abolished following EBA challenge (*p < 0.05, #p < 0.05, Fig. 4E-F).
EBA suppresses BCSC-enriched tumor growth
EBA administration led to a significant reduction in the growth (p < 0.01, Fig. 5A) of BCSC-enriched 4T1 mammospheres orthotopically injected into the mammary glands of Balb/c mice. There were no significant differences in the markers of hepatic and renal impairment, ALT (NS, Fig. 5C), AST (NS, Fig. 5D) and BUN (NS, Fig. 5E), in blood serum.
The antitumor effects of EBA were accompanied by a significant decrease in Ki-67 expression (p < 0.0001, Fig. 5F and Supplementary Fig. S11A) and increased TUNEL-positivity (p < 0.001, Fig. 5G and Supplementary Fig. S11B). It was further confirmed that expression of ALDH1A1, CD44 (p < 0.001, Fig. 5H–Iand Supplementary Fig. S12) and CD49f (p < 0.0001, and Supplementary Fig. S13) were markedly attenuated in response to EBA administration in vivo. Animals receiving EBA exhibited significantly lower levels of FAK and phospho-FAK when compared to their control counterparts (p < 0.01, Fig. 5J–K and Supplementary Fig. S14). Furthermore, EBA exposure impaired phosphorylation of STAT3 (Y705) and ERK (T202/Y204) in the BCSC-enriched tumors (p < 0.01, Fig. 5L–M and Supplementary Fig. S15).
EBA inhibits TNBC metastasis and angiogenesis via dysregulation of MMPs
Significant bioluminescence intensity indicating distant metastasis was observed in the control group, whereas metastatic tumor masses were rare in the EBA-treated animals (p < 0.01, Fig. 6A). Histopathological analysis of lung tissue confirmed that EBA reduced the number of metastatic nodules in lungs (p < 0.05, Fig. 6B).
The anti-metastatic effects of EBA were associated with a notable reduction in vimentin expression (p < 0.0001, Fig. 6C and Supplementary Fig. S16) in vivo. Kinetic analysis revealed a concentration-dependent impairment of cell migration in the presence of EBA in MDA-MB-231 and 4T1 cells in vitro (p < 0.05, Fig. 6D–F and Supplementary Fig. S17). During metastasis, significant increases in MMP-2/-9 concentrations in serum were found in the metastatic allograft mice (**p < 0.01, Fig. 6G–H). This phenomenon was noticeably hampered by EBA administration (##p < 0.01, Fig. 6G–H). A microvessel density (MVD) assay revealed that EBA administration resulted in a notable decline in both intra- and peri-tumoral angiogenesis, as evidenced by significant reductions in the number of CD31-positive microvessels in vivo (p < 0.001, Fig. 6I–Jand Supplementary Fig. S18).
Discussion
Drug repositioning involves the identification of novel indications for FDA-approved drugs. Advantages when compared to the development de novo drugs include reduced process failure risk and the ability to leverage established data on safety profiles, tolerability, pharmacodynamics and pharmacokinetics [19]. We report the potent efficacy of EBA, an H1-antihistamine with an exceptional safety profile, as a candidate for drug repurposing due to its potent anti-metastatic potential and suppression of BCSC-like properties. No lethal or toxic effects were previously observed in mice administered at 36 mg/kg/day for up to 80 weeks or in rats administered for 104 weeks. High-dose EBA of 144 mg/kg in rats and 60 mg/kg in dogs for 26 weeks did not reveal any significant toxicological effects. Importantly, there were no mutagenic or reproductive toxicity concerns including fertility, malformations, or perinatal mortality even at doses exceeding 100 mg/kg in rats [20]. Furthermore, clinical pharmacokinetics studies revealed that EBA was well tolerated in patients with impaired renal function or impaired hepatic function [21, 22]. In agreement with our findings, blood biochemical profiles showed no significant changes in biomarkers of kidney and liver function between control- and EBA-treated mice.
The 5-year overall survival rate for TNBC patients with advanced resistance to adjuvant chemotherapy and metastasis is exceedingly low at less than 30% [23]. FAK is an important determinant of tumor angiogenesis, cancer progression and metastasis via its interactions with the extracellular matrix and cytoskeletal reorganization [24]. Docking studies reveal that EBA fits into the tyrosine kinase domain of FAK within the ATP-binding pocket (residues 410–686), blocking phosphorylation at the Y397 and Y576/Y577 residues leading to catalytic dysfunction of FAK.
ALDH1A1 is a major BCSC biomarker associated with significantly lower overall survival in parallel with FAK overexpression in breast cancer patients. High phosphorylation of FAK at the tyrosine Y397 residue in BCSC-like populations is associated with the abnormal overexpression and activation of MEK/ERK and JAK2/STAT3, which enhance aggressive characteristics in TNBC. EBA treatment resulted in a significant reduction in FAK/Src activation coinciding with the attenuation of MEK/ERK and JAK2/STAT3 activation in BCSC-enriched mammospheres. Preclinical studies show that FAK blockade using pharmacological inhibitors or siRNA knockdown reduces BCSC-like properties, including ALDH1 activity, EMT, mammosphere-forming ability and tumor-initiating capacity in breast cancer in vitro and in vivo [25, 26]. EBA-treated TNBC cells also exhibit significant reductions in ALDH1 activity, CD44high/CD24low and CD49fhigh/CD24high stem-like subpopulations, leading to the attenuation of spheroid-forming ability. EBA induces apoptosis in BCSC-like populations, as evidenced by a significant increase in cleaved caspase-3 and PARP degradation as well as downregulation of the cancer stem cell markers ALDH1A1, CD49f, Nanog and Sox2 in BCSC-enriched mammospheres.
EBA administration in vivo retarded tumor growth, angiogenesis and lung metastasis in BCSC-enriched allografts. Of particular note, the anti-metastatic and anti-angiogenic properties of EBA was attributable to significant decreases in MMP-2 and MMP-9 serum levels. The matrix metalloproteinases facilitate tumor neovascularization and metastatic spread via the degradation and remodeling of ECM [27, 28]. MMP-2/-9 serum levels were significantly escalated in metastatic allograft mice when compared to normal BALB/c mice of the same age, however, these effects were abolished following EBA treatment in vivo. Notably, MMP-9 concentrations in circulating blood were elevated approximately 50-fold (range 3–5 ng/ml to 200–300 ng/ml) during metastasis, which may contribute to angiogenesis and the spread of tumor cells to distant organs. Accumulating evidence suggests a significant interplay between MMP-9 and CD44 in the progression of metastasis [29]. The complex formation of glycoprotein CD44 and its ligand MMP-9 on the cell surface of breast tumor cells was found to promote ECM degradation, cell migration, invasion and metastasis, suggesting that the MMP-9/CD44 axis is a promising therapeutic target [30]. Co-expression analysis using the TCGA database identified a positive relationship between CD44 and MMP-9 in breast cancer (Supplementary Fig. S19A). Furthermore, Kaplan–Meier analysis showed that patients with high CD44 levels had lower overall survival when MMP-9 was overexpressed (Supplementary Fig. S19B). It is conceivable that the downregulation of CD44 by EBA impacts MMP-9 levels, preventing angiogenesis and metastasis.
Constitutive activation of STAT3 is essential for the preservation of BCSC-like properties and the acquisition of EMT, with phospho-STAT3 predominantly expressed at the invasive edge in the peritumoral areas of advanced tumors [31, 32]. The transcriptional activity of STAT3 is broadly associated with cancer pathology, and dysfunction in the FAK/STAT3 axis induced by EBA treatment resulted in the impairment of BCSC survival, angiogenesis and tumor propagation. These findings suggest that EBA may be an effective therapeutic repositioning candidate for the simultaneous targeting of multiple survival signaling pathways for the treatment of molecularly heterogeneous TNBC (Fig. 7).
Materials and methods
Materials used (details listed in supplementary information)
Reagents, materials and antibodies, cell viability assay, sub-G1 analysis, annexin V/PI assay, aldefluor assay, CD44high/CD24low and CD49fhigh/CD24high assay, ALDH-positive and -negative cell sorting and cytological centrifugation, Western blot analysis, immunocytochemistry, molecular docking study, allograft in vivo experiments and bioluminescence imaging, immunohistochemistry and in-situ TUNEL assay, mammosphere formation assays, MMP2/MMP9 ELISA assay, and serum biochemical analysis (ALT, AST and BUN assay), cell migration kinetic assay (wound healing) and public dataset source and bioinformatics analysis.
Breast cancer cell and normal fibroblast cell culture
The TNBC cell lines MDA-MB-231 (PerkinElmer Inc), BT549, 4T1-Luc (Japanese Collection of Research Bioresources Cell Bank, JCRB) and normal mouse fibroblast line NIH/3T3 (ATCC) were cultured in MEM, DMEM or RPMI 1640 (Gibco, MD) containing 10% fetal bovine serum (FBS), and streptomycin-penicillin (100 U/ml). Cells were incubated at 37 °C in an atmosphere of 5% CO2. All cell lines were authenticated by short tandem repeat (STR) profiling by Macrogen Inc (Seoul, South Korea).
Molecular modeling and docking analysis
The molecular docking studies were conducted using the GalaxySagittarius software. (https://galaxy.seoklab.org/) [33]. After completion of the docking simulation, visualization of the 2D and 3D protein–ligand complexes and predicted binding sites were analyzed using UCSF chimera (https://www.cgl.ucsf.edu/chimera/) and BIOVIA Discovery Studio 2021 (https://discover.3ds.com/discovery-studio-visualizer-download/) [34, 35].
Allograft in vivo experiments and bioluminescence imaging
All animal procedures were carried out in accordance with guidelines approved by the Korea University Institutional Animal Care and Use Committee (IACUC, KOREA-2021–0070). Five-week-old female BALB/c mice were obtained from the NARA Biotech Animal Center (Seoul, Korea), housed in a pathogen-free environment, and acclimated for 2 weeks prior to the study with free access to food and water. 1 × 105 cells from 4T1 mammospheres were injected into the fourth mammary fat pads of 7-week-old BALB/c female mice. When average tumor volumes reached 50 mm3, the animals were randomized into 2 groups (n = 5/each group), and vehicle (DMSO/corn oil, 1:9) or EBA (20 mg/kg·BW/day) was administered intraperitoneally every other day for 34 days, and tumor volumes were measured using a caliper and calculated using the formula V = (Length × Width2)/2. After a period of 24 h following the final administration of EBA, the animals were anesthetized and subjected to NightOWL LB983 bioluminescence imaging (BLI) (Berthold Technologies, TN). The procedures were performed as previously described [36].
Public dataset source and bioinformatics analysis
Gene expression in normal and tumor tissues was analyzed using the publicly-available UCSC Xena (http://xena.ucsc.edu), GENT2 database (http://gent2.appex.kr/gent2/), and METABRIC dataset. Data for survival analyses were downloaded from TCGA and GENT2 databases. Overall survival regression was analyzed with GraphPad Prism 9.0 software after categorization into high- and low-expression groups. Overall survival was analyzed up to 150 months, with p-values obtained through the log-rank test.
Statistical analysis
All data were analyzed using GraphPad Prism 9.0 statistical software (San Diego, CA). The results are presented as mean ± SD of at least three independent experiments. Data were analyzed by Student’s t-test, and one- or two-way ANOVA as appropriate. Significance between multiple experimental groups was determined using the Bonferroni post-hoc test and defined at p < 0.05.
Availability of supporting data
Not applicable.
References
Rivenbark AG, O’Connor SM, Coleman WB (2013) Molecular and cellular heterogeneity in breast cancer: challenges for personalized medicine. Am J Pathol 183:1113–1124. https://doi.org/10.1016/j.ajpath.2013.08.002
Bianchini G, Balko JM, Mayer IA, Sanders ME, Gianni L (2016) Triple-negative breast cancer: challenges and opportunities of a heterogeneous disease. Nat Rev Clin Oncol 13:674–690. https://doi.org/10.1038/nrclinonc.2016.66
Ferlay J, Colombet M, Soerjomataram I, Parkin DM, Pineros M, Znaor A, Bray F (2021) Cancer statistics for the year 2020: an overview. Int J Cancer. https://doi.org/10.1002/ijc.33588
Kalimutho M, Parsons K, Mittal D, Lopez JA, Srihari S, Khanna KK (2015) Targeted therapies for triple-negative breast cancer: combating a stubborn disease. Trends Pharmacol Sci 36:822–846. https://doi.org/10.1016/j.tips.2015.08.009
Al-Hajj M, Wicha MS, Benito-Hernandez A, Morrison SJ, Clarke MF (2003) Prospective identification of tumorigenic breast cancer cells. Proc Natl Acad Sci U S A 100:3983–3988. https://doi.org/10.1073/pnas.0530291100
Ginestier C, Hur MH, Charafe-Jauffret E, Monville F, Dutcher J, Brown M, Jacquemier J, Viens P, Kleer CG, Liu S, Schott A, Hayes D, Birnbaum D, Wicha MS, Dontu G (2007) ALDH1 is a marker of normal and malignant human mammary stem cells and a predictor of poor clinical outcome. Cell Stem Cell 1:555–567. https://doi.org/10.1016/j.stem.2007.08.014
Moreno-Bueno G, Portillo F, Cano A (2008) Transcriptional regulation of cell polarity in EMT and cancer. Oncogene 27:6958–6969. https://doi.org/10.1038/onc.2008.346
McLean GW, Carragher NO, Avizienyte E, Evans J, Brunton VG, Frame MC (2005) The role of focal-adhesion kinase in cancer - a new therapeutic opportunity. Nat Rev Cancer 5:505–515. https://doi.org/10.1038/nrc1647
Luo M, Zhao X, Chen S, Liu S, Wicha MS, Guan JL (2013) Distinct FAK activities determine progenitor and mammary stem cell characteristics. Cancer Res 73:5591–5602. https://doi.org/10.1158/0008-5472.CAN-13-1351
Qiao W, Wang W, Liu H, Guo W, Li P, Deng M (2020) Prognostic and clinical significance of focal adhesion kinase expression in breast cancer: a systematic review and meta-analysis. Transl Oncol 13:100835. https://doi.org/10.1016/j.tranon.2020.100835
Lietha D, Cai X, Ceccarelli DF, Li Y, Schaller MD, Eck MJ (2007) Structural basis for the autoinhibition of focal adhesion kinase. Cell 129:1177–1187. https://doi.org/10.1016/j.cell.2007.05.041
Westhoff MA, Serrels B, Fincham VJ, Frame MC, Carragher NO (2004) SRC-mediated phosphorylation of focal adhesion kinase couples actin and adhesion dynamics to survival signaling. Mol Cell Biol 24:8113–8133. https://doi.org/10.1128/MCB.24.18.8113-8133.2004
Sastre J (2008) Ebastine in allergic rhinitis and chronic idiopathic urticaria. Allergy 63(Suppl 89):1–20. https://doi.org/10.1111/j.1398-9995.2008.01897.x
Ellegaard AM, Dehlendorff C, Vind AC, Anand A, Cederkvist L, Petersen NHT, Nylandsted J, Stenvang J, Mellemgaard A, Osterlind K, Friis S, Jaattela M (2016) Repurposing cationic amphiphilic antihistamines for cancer treatment. EBioMedicine 9:130–139. https://doi.org/10.1016/j.ebiom.2016.06.013
Li Q, Liu KY, Liu Q, Wang G, Jiang W, Meng Q, Yi Y, Yang Y, Wang R, Zhu S, Li C, Wu L, Zhao D, Yan L, Zhang L, Kim JS, Zu X, Kozielski AJ, Qian W, Chang JC, Patnaik A, Chen K, Cao Q (2020) Antihistamine drug ebastine inhibits cancer growth by targeting polycomb group protein EZH2. Mol Cancer Ther 19:2023–2033. https://doi.org/10.1158/1535-7163.MCT-20-0250
Ricardo S, Vieira AF, Gerhard R, Leitao D, Pinto R, Cameselle-Teijeiro JF, Milanezi F, Schmitt F, Paredes J (2011) Breast cancer stem cell markers CD44, CD24 and ALDH1: expression distribution within intrinsic molecular subtype. J Clin Pathol 64:937–946. https://doi.org/10.1136/jcp.2011.090456
Lombardo Y, de Giorgio A, Coombes CR, Stebbing J, Castellano L (2015) Mammosphere formation assay from human breast cancer tissues and cell lines. J Vis Exp. https://doi.org/10.3791/52671
Oh E, Kim YJ, An H, Sung D, Cho TM, Farrand L, Jang S, Seo JH, Kim JY (2018) Flubendazole elicits anti-metastatic effects in triple-negative breast cancer via STAT3 inhibition. Int J Cancer 143:1978–1993. https://doi.org/10.1002/ijc.31585
Zhang Z, Zhou L, Xie N, Nice EC, Zhang T, Cui Y, Huang C (2020) Overcoming cancer therapeutic bottleneck by drug repurposing. Signal Transduct Target Ther 5:113. https://doi.org/10.1038/s41392-020-00213-8
Roberts DJ (1996) A preclinical overview of ebastine. Studies on the pharmacological properties of a novel histamine H1 receptor antagonist. Drugs 52(Suppl 1):8–14. https://doi.org/10.2165/00003495-199600521-00004
Noveck RJ, Preston RA, Swan SK (2007) Pharmacokinetics and safety of ebastine in healthy subjects and patients with renal impairment. Clin Pharmacokinet 46:525–534. https://doi.org/10.2165/00003088-200746060-00006
Lasseter KC, Dilzer SC, Vargas R, Waldman S, Noveck RJ (2004) Pharmacokinetics and safety of ebastine in patients with impaired hepatic function compared with healthy volunteers: a phase I open-label study. Clin Pharmacokinet 43:121–129. https://doi.org/10.2165/00003088-200443020-00004
Dent R, Trudeau M, Pritchard KI, Hanna WM, Kahn HK, Sawka CA, Lickley LA, Rawlinson E, Sun P, Narod SA (2007) Triple-negative breast cancer: clinical features and patterns of recurrence. Clin Cancer Res 13:4429–4434. https://doi.org/10.1158/1078-0432.CCR-06-3045
Sulzmaier FJ, Jean C, Schlaepfer DD (2014) FAK in cancer: mechanistic findings and clinical applications. Nat Rev Cancer 14:598–610. https://doi.org/10.1038/nrc3792
Tiede S, Meyer-Schaller N, Kalathur RKR, Ivanek R, Fagiani E, Schmassmann P, Stillhard P, Hafliger S, Kraut N, Schweifer N, Waizenegger IC, Bill R, Christofori G (2018) The FAK inhibitor BI 853520 exerts anti-tumor effects in breast cancer. Oncogenesis 7:73. https://doi.org/10.1038/s41389-018-0083-1
Timbrell S, Aglan H, Cramer A, Foden P, Weaver D, Pachter J, Kilgallon A, Clarke RB, Farnie G, Bundred NJ (2021) FAK inhibition alone or in combination with adjuvant therapies reduces cancer stem cell activity. NPJ Breast Cancer 7:65. https://doi.org/10.1038/s41523-021-00263-3
Gonzalez-Avila G, Sommer B, Mendoza-Posada DA, Ramos C, Garcia-Hernandez AA, Falfan-Valencia R (2019) Matrix metalloproteinases participation in the metastatic process and their diagnostic and therapeutic applications in cancer. Crit Rev Oncol Hematol 137:57–83. https://doi.org/10.1016/j.critrevonc.2019.02.010
Deryugina EI, Quigley JP (2015) Tumor angiogenesis: MMP-mediated induction of intravasation- and metastasis-sustaining neovasculature. Matrix Biol 44–46:94–112. https://doi.org/10.1016/j.matbio.2015.04.004
Peng ST, Su CH, Kuo CC, Shaw CF, Wang HS (2007) CD44 crosslinking-mediated matrix metalloproteinase-9 relocation in breast tumor cells leads to enhanced metastasis. Int J Oncol 31:1119–1126
Augoff K, Hryniewicz-Jankowska A, Tabola R, Stach K (2022) MMP9: a tough target for targeted therapy for cancer. Cancers (Basel). https://doi.org/10.3390/cancers14071847
Chang Q, Bournazou E, Sansone P, Berishaj M, Gao SP, Daly L, Wels J, Theilen T, Granitto S, Zhang X, Cotari J, Alpaugh ML, de Stanchina E, Manova K, Li M, Bonafe M, Ceccarelli C, Taffurelli M, Santini D, Altan-Bonnet G, Kaplan R, Norton L, Nishimoto N, Huszar D, Lyden D, Bromberg J (2013) The IL-6/JAK/Stat3 feed-forward loop drives tumorigenesis and metastasis. Neoplasia 15:848–862. https://doi.org/10.1593/neo.13706
Azare J, Doane A, Leslie K, Chang Q, Berishaj M, Nnoli J, Mark K, Al-Ahmadie H, Gerald W, Hassimi M, Viale A, Stracke M, Lyden D, Bromberg J (2011) Stat3 mediates expression of autotaxin in breast cancer. PLoS One 6:e27851. https://doi.org/10.1371/journal.pone.0027851
Yang J, Kwon S, Bae SH, Park KM, Yoon C, Lee JH, Seok C (2020) Galaxysagittarius: structure- and similarity-based prediction of protein targets for druglike compounds. J Chem Inf Model 60:3246–3254. https://doi.org/10.1021/acs.jcim.0c00104
Abdel-Hamid MK, McCluskey A (2014) In silico docking, molecular dynamics and binding energy insights into the bolinaquinone-clathrin terminal domain binding site. Molecules 19:6609–6622. https://doi.org/10.3390/molecules19056609
Haque A, Baig GA, Alshawli AS, Sait KHW, Hafeez BB, Tripathi MK, Alghamdi BS, Mohammed Ali HSH, Rasool M (2022) Interaction analysis of MRP1 with anticancer drugs used in ovarian cancer: in silico approach. Life (Basel). https://doi.org/10.3390/life12030383
Kim JY, Cho TM, Park JM, Park S, Park M, Nam KD, Ko D, Seo J, Kim S, Jung E, Farrand L, Nguyen CT, Hoang VH, La Thanh M, Ann J, Nam G, Park HJ, Lee J, Kim YJ, Seo JH (2022) A novel HSP90 inhibitor SL-145 suppresses metastatic triple-negative breast cancer without triggering the heat shock response. Oncogene 41:3289–3297. https://doi.org/10.1038/s41388-022-02269-y
Funding
This research was supported by a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HA17C0053, HR20C0021), the National Research Foundation (NRF) funded by the Korean government (MSIT) (grant number: 2018R1A2B6005347, 2019M3E5D1A01068998, 2021R1A2C2009723, 2021R1I1A1A01045588, 2022R1I1A1A01069697), and was supported by the Brain Korea (BK) 21 Plus Program.
Author information
Authors and Affiliations
Contributions
Conceptualization: [JS, EJ, Y-JK, JYK and JHS]; Methodology: [JS, MP, DK, SK, JMP, SP, LF, KDN, JY, CS, EJ and Y-JK]; In vitro experiment: [JS, MP, DK, SK and EJ]; In vivo experiments: [JS, MP, DK, SK, JMP, SP, EJ, Y-JK and JYK]; Molecular docking study: [JS, MP, SK, JY, CS and Y-JK]; Writing—original draft preparation: [JS and EJ]; Writing—review and editing: [LF, Y-JK, JYK and JHS]; Funding acquisition: [EJ, Y-JK, JYK and JHS]; Supervision: [EJ, Y-JK, JYK and JHS].
Corresponding authors
Ethics declarations
Conflict of interest
The authors have no relevant financial or non-financial interests to disclose.
Ethical Approval and Consent to participate
Animal experiments were approved by the Institutional Animal Care and Use Committee (IACUC) of Korea University, Republic of Korea (ID: KOREA-2021–0070). This study was conducted in accordance with the Guide for the Care and Use of Laboratory Animals.
Ethical standards
All in vitro and in vivo experiments we conducted complied with the current laws of the Republic of Korea.
Consent to publish
Not applicable.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Seo, J., Park, M., Ko, D. et al. Ebastine impairs metastatic spread in triple-negative breast cancer by targeting focal adhesion kinase. Cell. Mol. Life Sci. 80, 132 (2023). https://doi.org/10.1007/s00018-023-04760-5
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s00018-023-04760-5