Abstract
The Hedgehog (HH) signaling pathway plays an important role in embryonic development and adult organ homeostasis. Aberrant activity of the Hedgehog signaling pathway induces many developmental disorders and cancers. Recent studies have investigated the relationship of this pathway with various cancers. GPCR-like protein Smoothened (SMO) and the glioma-associated oncogene (GLI1) are the main effectors of Hedgehog signaling. Physalin A, a bioactive substance derived from Physalis alkekengi, inhibits proliferation and migration of breast cancer cells and mammospheres formation. Physalin A-induced apoptosis and growth inhibition of mammospheres, and reduced transcripts of cancer stem cell (CSC) marker genes. Physalin A reduced protein expressions of SMO and GLI1/2. Down-regulation of SMO and GLI1 using siRNA inhibited mammosphere formation. Physalin A reduced mammosphere formation by reducing GLI1 gene expression. Down-regulation of GLI1 reduced CSC marker genes. Physalin A reduced protein level of YAP1. Down-regulation of YAP1 using siRNA inhibited mammosphere formation. Physalin A reduced mammosphere formation through reduction of YAP1 gene expression. Down-regulation of YAP1 reduced CSC marker genes. We showed that treatment of MDA-MB-231 breast cancer cells with GLI1 siRNA induced inhibition of mammosphere formation and down-regulation of YAP1, a Hippo pathway effector. These results show that Hippo signaling is regulated by the Hedgehog signaling pathway. Physalin A also inhibits the canonical Hedgehog and Hippo signaling pathways, CSC-specific genes, and the formation of mammospheres. These findings suggest that physalin A is a potential therapeutic agent for targeting CSCs.
Keywords: breast cancer stem cells (BCSCs), physalin A, Hedgehog signaling pathway, GLI1, Hippo signaling pathway, YAP1, mammospheres
1. Introduction
Breast cancer (BC) is invasive cancer and involves different areas of the breast (lobules, ducts, and connective tissue) and shows different clinical outcomes. Based on the cancer response, BC can be divided into estrogen receptor(ER)-positive, progesterone receptor (PR)-positive, ER/PR-positive, human epidermal growth factor receptor-2 (HER2)-positive, and triple-negative breast cancer (TNBC) [1]. Breast cancer stem cells (BCSCs) are a small population of BC cells that play a critical role in the metastasis of BC to other organs and are a leading cause of tumor progression and resistance against conventional therapy. Therefore, targeting BCSCs may be a potential approach for the treatment of BC. Triple-negative breast cancer (TNBC) is a heterogeneous group of tumors that exhibit diverse histological characteristics, molecular profile, and therapeutic response. TNBCs are characterized by a lack of amplification of the expressions of estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 (HER2) [1]. Approximately 10–15% of all breast cancers are TNBC [2]. Compared to other breast cancer types, TNBC is associated with poor prognosis and occurs at a higher frequency in younger women [3]. Breast cancer stem cells (BCSCs) are heterogeneous subpopulations of breast cancer cells that have properties of differentiation and self-renewal [4]. Additionally, these BCSC subpopulations are known to influence therapeutic response and clinical outcomes [5]. Owing to these characteristics, the development of treatments targeting BCSCs is an emerging research hotspot. However, there are no standardized strategies for TNBCs and BCSCs [6].
Physalin A is an active withanolide derived from Physalis alkekengi var. franchetii (Solanaceae) which is named “Jin-deng-long” in China [7]. Traditional Chinese medicine using the calyx of this plant is commonly adopted for the treatment of excessive phlegm, pharyngitis, phemphigus, cough, sore throat, hepatitis, eczema, dysuria, and tumors [8]. These data suggest that the genus Physalis is an important source of withanolide-type molecules with potential therapeutic effect against human diseases [9]. Studies have demonstrated anti-tumor and anti-inflammatory properties of Physalin A. Nrf2 pathway was regulated by physalin A through ERK and p38 for induction of detoxifying enzymes [10]. Physalin A was shown to induce apoptosis and protective autophagy in HT1080 human fibrosarcoma cells [7]. Physalin A attenuated inflammation by down-regulating c-Jun NH2 kinase (JNK) phosphorylation/Activator Protein 1 (AP-1) activation and up-regulating the anti-oxidative activity [11]. In addition, degradation of nuclear factor kappa B alpha (IκBα) and nuclear translocation of nuclear factor-κB (NF-κB) was blocked by physalin A, which induced an anti-inflammatory effect [12]. In human non-small cell lung cancer cells, physalin A-induced G2/M phase cell cycle arrest and regulated the p38 MAPK/ROS pathway [13]. In another study, physalin A was shown to induce apoptosis of prostate cancer cells by regulation of JNK and activation of ERK [14]. Compared with 5-fluorouracil or paclitaxel, physalin A showed no inhibitory effect on human peripheral blood mononuclear cells and exhibited lower toxicity on normal human cells [7]. Thus, physalin A can be considered as a potential therapeutic agent for clinical use.
Hedgehog (HH) signaling pathway plays a fundamental role in normal embryonic development and postnatal tissue regeneration as well as in organogenesis and homeostasis of almost all organs [15,16,17]. Its biological influence is mediated through a signaling cascade that alters the balance between the activator and repressor forms of glioma-associated oncogene (GLI) transcription factors [16]. The components involved in Hedgehog signaling include Hedgehog ligands (Sonic Hedgehog, Indian Hedgehog, and Desert Hedgehog), the seven-span transmembrane G protein-coupled receptor (GPCR)-like protein Smoothened (SMO), the twelve-span transmembrane canonical receptor protein Patched (PTCH1), and the glioma-associated oncogene (GLI1, GLI2, and GLI3) proteins [18]. Aberrant activity of the Hedgehog signaling pathway has been implicated in several developmental disorders and cancers [19]. Constitutive pathway activation resulting from mutations of Hedgehog pathway components is frequently observed in some cancers [20,21]. In cancer stem cells, Hedgehog signaling is known to drive the CSC phenotype through the regulation of stemness-determining genes such as Nanog, Oct4, and Sox2 [22,23,24,25,26] and regulate self-renewal and differentiation of CSCs [27]. These findings indicate that characterization of the molecular mechanisms of the Hedgehog signaling pathway is essential for developing strategies for the prevention and treatment of cancers or CSCs.
The Hippo signaling pathway, a serine/threonine kinase cascade, is related to the proliferation of embryonic and somatic stem cells. Previous studies have shown that the Hippo signaling pathway is a tumor suppressor pathway that induces apoptosis and inhibits proliferation [28]. In particular, YAP and TAZ, which are the main effectors of the Hippo pathway, are essential for the maintenance of BCSCs. In breast cancer cells, TAZ-TEAD-Cyr61/CTGF, the Hippo signaling pathway is an important modifier of the paclitaxel response [29]. TAZ is required for the metastatic activity, self-renewal ability, tumor-initiating capacity, and chemoresistance of BCSCs [30]. YAP-induced stemness in mammary epithelial cells and breast cancer is mediated by SRF-IL6 [31]. These findings indicate that the Hippo signaling pathway is determinant for treating BCSCs. However, there has been no report on anti-CSCs activity and molecular mechanisms of physalin A from Physalis alkekengi var. franchetii. In the present study, we studied physalin A as a mammosphere formation inhibitor against BCSCs which suppresses mammosphere formation in breast cancer cell lines. We investigated whether physalin A inhibits the formation of BCSCs through the regulation of the Hedgehog signaling pathway and yes-associated protein 1 (YAP1).
2. Results
2.1. Physalin A Inhibits the Proliferation of MDA-MB-231, MDA-MB-453, HCC-1937, and MCF-7 Breast Cancer Cells and Mammosphere Formation
TNBC cell lines (MDA-MB-231, MDA-MB-453, and HCC-1937) and non-TNBC cell lines (MCF-7) were cultured in 96-well plates. The effect of physalin A (Figure 1B and Figure S1) on cell viability was assessed using MTS assay. As shown in Figure 1B and Figure S1, physalin A suppressed the proliferation of breast cancer cell lines in a dose-dependent manner. The migration and colony formation of MDA-MB-231 and MCF-7 cells were inhibited by physalin A (Figure 1C,D). To assess whether physalin A has an inhibitory effect on mammosphere formation, we cultured MDA-MB-231 (1 × 104 cells/well), MDA-MB-453 (2 × 104 cells/well), HCC-1937 (4 × 104 cells/well), and MCF-7 (4 × 104 cells/well) in ultralow attachment plates with/without physalin A (10 μM). Physalin A decreased the number and size of the mammospheres (Figure 1E and Figure S1).
2.2. Physalin A Decreases the CD44high/CD24low and ALDH1-Expressing Subpopulations
CD44high/CD24low and ALDH1-expressing subpopulations are BCSC populations. We cultured MDA-MB-231 cells in 6-well culture plates and then treated with/without physalin A for 24 h. Physalin A reduced the population of CD44high/CD24low-expressing subpopulation of MDA-MB-231 breast cancer cells from 75.7% to 42.4% (Figure 2A). Similarly, the ALDH assay showed that physalin A decreased the ALDH1-positive subpopulation of MDA-MB-231 cells from 5.3% to 1.3% (Figure 2B). These results indicate that physalin A reduced the frequency of BCSC populations, CD44high/CD24low, and ALDH1-expressing subpopulations.
2.3. Physalin A Induces BCSC Apoptosis and Inhibits CSC-Specific Gene Transcription and Growth of Mammospheres
We examined the effects of physalin A on the apoptosis of BCSCs. Early apoptosis (Q2) was induced from 10.5% to 12.8% and late apoptosis (Q1) was induced from 9.8% to 27.4% (Figure 3A). Moreover, physalin A inhibited the expression of CSC-specific genes; Oct4, CD44, Sox2, c-myc, and Nanog (Figure 3B). To measure the inhibitory effect of physalin A on mammosphere proliferation, MDA-MB-231 mammospheres were treated with physalin A. With the same number of cells, we incubated the single cell from mammospheres in 6 cm diameter dishes for 1, 2, and 3 days. As shown in Figure 3C, physalin A inhibited the proliferation of mammospheres.
2.4. Physalin A Regulates the Canonical Hedgehog Signaling Pathway
To determine the cellular mechanism by which physalin A inhibits mammosphere formation, we first checked the Hedgehog signaling pathway. Physalin A reduced the expression of SMO protein (the upper signal effector of the Hedgehog signaling) in mammospheres (Figure 4A and Figure S2). We further confirmed the relationship between SMO and the formation of CSCs. After treating siRNA of SMO, we scanned the plate and measured the MFE. The number of mammospheres was modestly decreased, and the size of mammospheres was also decreased, as shown in Figure 4B. Physalin A also reduced the GLI1 and GLI2 (Figure 4C and Figure S2). siRNA-mediated silencing of GLI1 in MDA-MB-231 cells led to a significant decrease in mammosphere formation. The silencing of GLI1 reduced the number as well as the size of mammospheres (Figure 4D). In BCSCs, physalin A also decreased the transcriptional level of GLI1 (Figure 4E). Silencing of GLI1 also reduced the transcriptional levels of CSC marker genes, Oct4, Nanog, and Sox2, but not that of c-myc (Figure 4F). These results showed that physalin A inhibits the canonical Hedgehog signaling pathway in MDA-MB-231 breast cancer stem cells.
2.5. Physalin A Inhibits the Hippo Signaling Pathway Which Is Regulated by GLI1
To study the downstream effects of the Hedgehog signaling pathway, we examined the effect of physalin A on the expression level of YAP1 (an effector of the Hippo signaling pathway) in the mammosphere. Physalin A reduced the total levels of YAP1 protein and also reduced cytosol and nuclear levels of YAP1 in MDA-MB-231 and MCF-7 mammospheres (Figure 5A,B and Figure S2). siRNA-mediated silencing of YAP1 significantly decreased mammosphere formation of MDA-MB-231 cells. The silencing of YAP1 reduced the number as well as the size of mammospheres (Figure 5C). Physalin A induced a decrease in transcripts level of YAP1 in mammospheres (Figure 5D). The expressions of cancer stem cell-related genes, Sox2 and Oct4, were decreased by siRNA of YAP1 (Figure 5E). To examine the crosstalk of YAP1 and GLI1, we examined the level of YAP1 protein in cancer cells after the silencing of GLI1. Down-regulation of GLI1 using siRNA induced a decrease in transcripts and protein level of YAP1 (Figure 6A,B) and reduced cytosolic and nuclear fractions of YAP1 (Figure 6C). YAP1 is essential for the formation of mammospheres. According to available TCGA data, GLI1 is related to YAP1 in breast cancer patients (Figure 7A). In conclusion, our data showed that GLI1 regulates the protein and transcription level of YAP1, and physalin A affects the Hippo signaling pathway via regulation of the Hedgehog signaling pathway. A schematic illustration of the proposed mechanism is presented in Figure 7B.
3. Discussion
Breast cancer is the most malignant cancer in women [32]. Triple-negative breast cancer (TNBC) lacks estrogen receptor, progesterone receptor, and HER2 expression and TNBC patients have a higher rate of relapse and a poorer prognosis than other breast cancer patients [3]. Triple-negative breast cancer (TNBC) is typically challenging to treat [33]. TNBC is associated with chemotherapeutic failure and poor prognosis [34,35]. BCSCs are a key determinant of tumor heterogeneity and contribute to the induction of chemoresistance and metastasis [36]. Additionally, BCSCs are responsible for cancer progression, recurrence, and therapeutic resistance [37]. CD44high/CD24low and ALDH1 expressions, which are biomarkers of BCSCs, can be regulated during CSC progression [38]. An increasing body of evidence suggests that targeting breast CSCs is a viable therapeutic strategy for breast cancer.
This study aimed to understand the mechanism of action of physalin A derived from the natural product in BCSCs. There is a growing interest in identifying compounds with anticancer potential from herbs and many natural products that are clinically used for chemotherapies. For example, vincristine, irinotecan, etoposide, and paclitaxel are representative compounds derived from plants, which are used in cancer therapy [39]. Physalins, a type of steroids are the characteristic constituents of Physalis alkekengi L Physalis are traditionally used in China for the treatment and prevention of tumors.
Physalin A is a steroidal compound. Steroids are widely used in cancer therapy and have been known to possess an anti-cancer effect. For instance, Ciclesonide, a kind of glucocorticoid, inhibits the formation of BCSCs via the GR/YAP pathway [40] and the lung cancer stem cells via the Hedgehog/Sox2 signaling pathway [41]. A steroidal lactone, withaferin A, induces Par-4-dependent apoptosis in prostate cancer cells [42]. In our study, physalin A inhibited the proliferation of breast cancer cells and the formation of mammospheres (Figure 1). Physalin A also induced apoptosis of BCSCs (Figure 3). Physalin A decreased the BCSC biomarkers (such as CD44high/CD24low and ALDH1) and reduced the transcriptional levels of CSC-specific genes such as Oct4, CD44, Sox2, c-myc, and Nanog (Figure 2 and Figure 3). Our data show the inhibitory effect of physalin A on BCSCs.
Hedgehog signaling pathway effectors such as SMO and GLI, are essential for cancer progression. Inhibition of Hedgehog signaling enhanced the delivery of chemotherapy in a mouse model of pancreatic cancer [43]. Inhibition of sonic Hedgehog ligand activity inhibits the growth of small cell lung cancer lines expressing Shh and GLI, but not that of non-small cell lung cancer lacking expression of both Shh and GLI [44]. NF-κB up-regulation is responsible for Shh overexpression which induces breast carcinogenesis [45]. The Hedgehog signaling pathway is a critical mechanism in breast cancer cells [46,47,48,49]. Additionally, Hedgehog signaling and Bmi-1 regulate the self-renewal of BCSCs [50]. An agonist of the A3 adenosine receptor was shown to inhibit the survival of BCSCs via the GLI1/ERK pathway [51]. In our study, physalin A inhibited the formation of BCSCs through down-regulating canonical Hedgehog signaling effectors such as SMO and GLI1. Silencing of SMO and GLI1 using specific siRNAs reduced the size as well as the number of mammospheres. Moreover, GLI1 knockdown decreased the mRNA levels of CSC marker genes, Oct4, Nanog, and Sox2 (Figure 4). These findings indicate that the main effectors of the Hedgehog signaling pathway play a vital role in the maintenance of BCSCs. Some studies have demonstrated the crosstalk of the Hedgehog signaling pathway with various oncogenic pathways. In melanomas, the Hedgehog signaling is regulated by the interaction between GLI1 and RAS-MEK/AKT pathway [52]. PI3K/AKT plays an important role in Hedgehog-dependent tumors [53]. Targeting the crosstalk between major oncogenic signaling pathways is an essential step to improve the anticancer therapeutic efficacy [54]. Hedgehog is related to CYR61 which is the target gene of the YAP/TAZ complex [55]. As shown in Figure 5 and Figure 6, we examined the crosstalk between Hedgehog signaling and Hippo signaling. GLI1 down-regulation using siRNA reduced the mRNA and protein expressions of YAP1. Physalin A also reduced the level of YAP1. Knockdown of YAP1 affected the expressions of CSC-related genes (Sox2 and Oct4) and the formation of BCSCs. TAZ/YAP activity is also important for the maintenance of BCSCs. TAZ is required for metastasis and chemoresistance of BCSCs [30]. YAP1 protein was shown to be associated with outcomes in patients with luminal A breast cancer [56]. These findings indicate that a better understanding of the crosstalk between these pathways may be shown as potential therapeutic strategies against BCSCs.
Physalin A can inhibit BCSCs via regulation of mammosphere formation and growth, colony formation, and cell migration. Physalin A also inhibits the Hedgehog and Hippo signaling pathway. Our data showed that GLI1 regulates the protein and mRNA expressions of YAP1. These findings suggest that BCSCs are inhibited via inhibition of SMO/GLI1/YAP1 signaling. Our data showed that physalin A is a potential agent for BCSC therapy.
4. Materials and Methods
4.1. Cell and Mammosphere Culture
TNBC cells (MDA-MB-231, MDA-MB-453, and HCC-1937) and non-TNBC cells (MCF-7) were obtained from the American Type Culture Collection (Rockville, MD, USA) were cultured in Dulbecco’s modified Eagle’s medium (Gibco, Thermo Fisher Scientific, Waltham, MA, USA) supplemented with 10% fetal bovine serum (Gibco, Thermo Fisher Scientific) and 1% penicillin/streptomycin (Gibco, Thermo Fisher Scientific). The four breast cancer cell lines, MDA-MB-231 (1 × 104), MDA-MB-453 (2 × 104), HCC-1937 (4 × 104) and MCF-7 (4 × 104) were cultured in ultralow attachment 6-well plates with MammoCult™ culture medium (STEMCELL Technologies, Vancouver, BC, Canada) supplemented with 4 μg/mL heparin, 0.48 μg/mL hydrocortisone, 100 U/mL penicillin, and 100 μg/mL streptomycin. All cells were incubated in a humidified 5% CO2 incubator at 37 °C. After one week of culture, the formation of mammospheres was assessed by obtaining images using a scanner (Epson Perfection V700 PHOTO, Epson, Tokyo, Japan). For counting, regions of interest (ROIs) were created by choosing the desired number of rows and columns (e.g., 2 × 3 for a 6-well plate), and individual ROIs were defined by moving and resizing the provided ROI shapes after selecting the elliptical setting in the NICE program. The background signal of the images was negated using thresholding algorithms, and the selected images were automatically counted. Mammospheres were counted using the NIST’s integrated colony enumerator (NICE) program and assessed as mammosphere formation efficiency (MFE, % of control) [57].
4.2. Antibodies and Small Interfering RNAs (siRNAs)
Anti-GLI1 and anti-GLI2 antibodies were purchased from Cell Signaling Technology (Danvers, MA, USA). Anti-β-actin and anti-Lamin B antibodies were purchased from Santa Cruz Biotechnology (Dallas, TX, USA). Anti-SMO antibody was purchased from Bioss (Woburn, MA, USA). Anti-YAP1 antibody was obtained from FineTest® (Wuhan, Hubei, China). Human SMO-, GLI1-, and YAP1-specific siRNAs were purchased from Bioneer (Daejeon, Korea).
4.3. Cell Proliferation Assay
MDA-MB-231, MDA-MB-453, HCC-1937, and MCF-7 cells were cultured in a 96-well plate for 24 h and treated with various concentrations (0, 10, 20, 40, 60, 80, and 100 µM) of physalin A (ChemFaces Co., Hubei, China) for 1 day in cell culture medium. Then, cell proliferation assay was performed using CellTiter 96® Aqueous One Solution cell kit (Promega, Madison, WI, USA). We mixed DMEM and aqueous one solution in the ratio of five to one added 100 µL of the mixture to each well and incubated the plate in a 5% CO2 incubator at 37 °C for 2 h. The OD490 was measured using a Versa Max ELISA microplate reader (Molecular Devices, San Jose, CA, USA).
4.4. Colony Formation Assay
For colony formation assay, the two breast cancer cell lines were cultured in 6-well plates at a density of 2 × 103/well and treated with/without 40 µM physalin A at 37 °C for 1 week. The colonies were washed three times with 1× phosphate-buffered saline (PBS), fixed for 10 min using 3.9% formaldehyde, and stained for 1 h with 0.04% crystal violet. The colonies were washed twice with distilled water and dried. The images were acquired by a scanner (Epson). The number of colonies was counted with the NICE software program [58].
4.5. Migration Assay
MDA-MB-231 and MCF-7 cells with 2 × 106 cells/plate were cultured in a 6-well plate. After 1 day, the cells were scratched using a microtip. The cells were washed twice with 1× PBS and treated with/without 40 µM physalin A. The plate was placed in the LionheartTM, previously set to 37 °C and 5% CO2. First, we selected the scratched areas for obtaining images. Then, imaging of these areas was performed every 30 min over a 12 h period using 4× objective. High contrast bright-field images of the migrated areas were captured using a microscope (Lionheart, Biotek, Winooski, VT, USA) at the Jeju Center of Korea Basic Science Institute (KBSI, core-facility center).
4.6. Flow Cytometry Analysis and Aldehyde Dehydrogenase (ALDH1) Activity Assay
MDA-MB-231 cells (1 × 106 cells) were seeded in a 6-well plate for 24 h and treated with DMSO as the control or 20 µM physalin A for 24 h. After treatment with/without 20 µM physalin A for 1 day, cancer cells were detached by using 1× trypsin/EDTA. The detached cells were washed with 1× activated cell sorting (FACS) buffer. A total of 1 × 106 cells were suspended with 100 µL of 1× FACS buffer and 10 µL of FITC-conjugated anti-human CD44 and phycoerythrin (PE)-conjugated anti-human CD24 (BD, San Jose, CA, USA) were added to each sample. After incubating on ice for 20 min, the samples were washed twice with 1× FACS buffer, and then analyzed using an Accuri C6 flow cytometer (BD, San Jose, CA, USA). The ALDH1 assay was performed using an ALDEFLUORTM assay kit (STEMCELL Technologies). The active reagent boron-dipyrromethene (BODIPY)-aminoacetaldehyde was added to each sample, which converts the reagent to fluorescent BODIPY-aminoacetate via ALDH. The ALDH inhibitor diethylaminobenzaldehyde (DEAB) was used as a negative control. MDA-MB-231 cells were treated with/without 20 µM physalin A for 24 h, and then trypsinized for detachment from the plate. After washing with ALDEFLUORTM assay buffer as per the manufacturer’s instructions, the proportion of ALDH1-positive cells was assayed using an Accuri C6 flow cytometer [59].
4.7. Annexin V/PI Assay and Analysis of CSC Apoptosis
Mammospheres of MDA-MB-231 cancer cells were cultured in an ultralow attachment 6-well plate for 5 days and treated with/without 10 µM physalin A for 2 days. Subsequently, the cells were harvested, dissociated, and incubated with FITC-Annexin V/PI for 30 min at 4 °C. Apoptotic cells were analyzed by the FITC-Annexin V/PI staining method according to the manufacturer’s instructions (BD). The stained samples were assayed using a flow cytometer (Accuri C6).
4.8. Gene Expression Analysis
Total RNA was isolated from MDA-MB-231 mammospheres. RT-qPCR was performed using a TOPrealTM One-Step RT-qPCR kit (SYBR Green with low ROX) (Enzynomics, Daejeon, Korea) according to the manufacturer’s instructions. We prepared RT-qPCR mixture containing TOPrealTM One-step RT-qPCR Enzyme MIX 1 µL, 2× TOPrealTM One-step RT-qPCR Reaction MIX (with low ROX) 10 µL, RNA template (100 ng/µL) 2 µL, specific primers-F (10 pmol/µL) 2 µL, specific primers-R (10 pmol/µL) 2 µL, and RNase-free sterile water 3 µL in each sample. The relative transcript expression levels of the target genes were analyzed using the comparative CT method [60]. The specific primers used are listed in Table S1. The β-actin gene was used as an internal control.
4.9. Immunoblot Analysis
Protein extracts of cancer cells treated with/without physalin A were isolated from MDA-MB-231 and MCF-7 breast cancer cells and mammospheres. Mammospheres of MDA-MB-231 and MCF-7 cells were cultured in an ultralow attachment 6-well plate for 5 days and treated with physalin A for 2 days. After washing twice with 1× PBS, the cell pellets were resuspended in lysis buffer. For extraction of total protein, the cell pellets were suspended with radio-immunoprecipitation assay (RIPA) buffer (Thermo Fisher Scientific, Rockford, IL, USA) supplemented with 10 mM protease inhibitor, 10 mM sodium fluoride (NaF), and 10 mM sodium vanadate. The samples were incubated on ice for 30 min and then micro-centrifuged at 14,000× g for 15 min. The resulting supernatant contained the total proteins. For extraction of cytosolic and nucleic protein, we followed the previously described method [58]. The washed cell pellets were resuspended in buffer A (pH 7.9 of 10 mM HEPES, 1.5 mM MgCl2, 10 mM KCl, 0.05% NP-40, 0.5 mM DTT, 10 mM protease inhibitor, 10 mM NaF, and 10 mM sodium vanadate) and the lysates were micro-centrifuged at 10,000× g for 5 min. The supernatant contains the cytosolic protein and the resulting pellet contains the nucleus. The nuclear pellet was dissolved with RIPA buffer with 10 mM protease inhibitor, 10 mM NaF, and 10 mM sodium vanadate. The samples were placed on ice for 30 min and then micro-centrifuged at 14,000× g for 15 min. The resulting supernatant contains the nucleic protein. The proteins were separated using 8% or 10% sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) gel, which was conducted using a tris-glycine buffer. Separated proteins were transferred to polyvinylidene fluoride (PVDF) membranes (Millipore, Burlington, MA, USA). The membranes were incubated with Odyssey blocking buffer at room temperature for 1 h and then incubated overnight with primary antibodies at 4 °C. On the next day, the PVDF membranes were washed thrice with PBS-Tween 20 (0.1%, v/v), and incubated with IRDye 680RD- and IRDye 800W-conjugated secondary antibodies for 1 h at room temperature. The signals were detected using an Odyssey CLx imaging system (LI-COR, Lincoln, NE, USA).
4.10. Small Interfering RNA (siRNA)
MDA-MB-231 cells were seeded in a 6-well plate at a density of 1.0 × 106 cells/plate. To examine the effect of SMO, GLI1, and YAP1 on mammosphere formation, the cells were transfected with siRNAs targeting the human SMO, GLI1, and YAP1 genes. The SMO siRNA (NM_005631.4), GLI1 siRNA (NM_005269.2), YAP1 siRNA (NM_006106.4), and a scrambled siRNA were obtained from Bioneer. Lipofectamine® 3000 (Thermo Scientific) was used to transfect siRNAs according to the manufacturer’s instructions. MDA-MB-231 cells were cultured until the achievement of 70% confluence. We diluted 4 μL of Lipofectamine® 3000 reagent in 125 μL of Opti-Minimal Essential Medium (MEM)® medium and prepared a master mix of siRNAs by diluting 5 μg of siRNAs in 125 μL of Opti-MEM® medium in each tube. Subsequently, we mixed the diluted Lipofectamine® 3000 reagent and diluted siRNAs (for control, only Opti-MEM® and diluted Lipofectamine® 3000 were mixed with a scrambled siRNA) and incubated it for 15 min at room temperature. The siRNA-lipid complex was added to each well and the cells were incubated for 2–4 days at 37 °C. The protein expressions of SMO, GLI1, and YAP1 were determined by Western blot analysis.
4.11. Statistical Analysis
All variables are expressed as mean ± standard deviation (SD) values from three independent experiments. One-way ANOVA was used for statistical analysis. Data analysis was performed using GraphPad Prism 8.0 software (GraphPad Software Inc., San Diego, CA, USA).
5. Conclusions
In this study, physalin A inhibited the formation of BCSCs and decreased the transcript levels of BCSC-related genes (Oct4, CD44, Sox2, c-myc, and Nanog). Physalin A also reduced the CD44high/CD24low and ALDH1-expressing subpopulations. In BCSCs, this compound was found to inhibit the Hedgehog signaling pathway, especially the important effectors such as SMO and GLI. The significant effector of the Hippo pathway, YAP, was decreased by physalin A and siRNA of GLI1. Our findings suggest that physalin A regulates the Hedgehog/Hippo signaling pathway and can be a potential agent targeting BCSCs.
Acknowledgments
We thank the Korea Basic Science Institute (National Research Facilities and Equipment Center) grant fund from the Ministry of Education, Korea (Grant no. 2020R1A6C101A188). This research was supported by the Program of the National Research Foundation of Korea through the Ministry of Education. This research was supported by the 2020 scientific promotion program funded by Jeju National University.
Supplementary Materials
The following data are available online at https://www.mdpi.com/article/10.3390/ijms22168718/s1. The Specific real-time RT-qPCR primer sequences are described in Table S1. Cell viability and mammosphere formation efficiency of another TNBC cell line (HCC-1937) are shown in Figure S1. The western blot data of MCF-7 mammospheres are shown in Figure S2.
Author Contributions
H.S.C. and Y.-C.K. designed this study and participated in all the experiments. H.S.C. and Y.-C.K. wrote the manuscript. R.L. helped design and perform the experiments. D.-S.L. supervised the study. All authors have read and agreed to the published version of the manuscript.
Funding
This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2016R1A6A1A03012862 and NRF-2020R1A2C1006316). This research was supported by the National University Development Project funded by the Ministry of Education (Korea) and the National Research Foundation of Korea (2021).
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
The data presented in this study are available within the article. Other data that support the findings of this study are available upon request from the corresponding authors.
Conflicts of Interest
There are no conflict of interest to declare.
Footnotes
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Data Availability Statement
The data presented in this study are available within the article. Other data that support the findings of this study are available upon request from the corresponding authors.