Abstract
Epithelial ovarian cancer is the most lethal gynecological cancer mainly due to late diagnosis, easy spreading and rapid development of chemoresistance. Cancer stem cells are considered to be one of the main mechanisms for chemoresistance, as well as metastasis and recurrent disease. To explore the stemness characteristics of ovarian cancer stem cells, we successfully enriched ovarian cancer stem-like cells from an established ovarian cancer cell line (SKOV-I6) and a fresh ovarian tumor-derived cell line (OVS1). These ovarian cancer stem-like cells possess important cancer stemness characteristics including sphere-forming and self-renewing abilities, expressing important ovarian cancer stem cell and epithelial–mesenchymal transition markers, as well as increased drug resistance and potent tumorigenicity. Microarray analysis of OVS1-derived sphere cells revealed increased expression of amphiregulin (AREG) and decreased expression of its conserved regulatory microRNA, miR-34c-5p, when compared with the OVS1 parental cells. Overexpression of AREG and decreased miR-34c-5p expression in SKOV-I6 and OVS1 sphere cells were confirmed by quantitative real-time PCR analysis. Luciferase reporter assay and mutant analysis confirmed that AREG is a direct target of miR-34c-5p. Furthermore, AREG-mediated increase of sphere formation, drug resistance toward docetaxel and carboplatin, as well as tumorigenicity of SKOV-I6 and OVS1 cells could be abrogated by miR-34c-5p. We further demonstrated that miR-34c-5p inhibited ovarian cancer stemness through downregulation of the AREG-EGFR-ERK pathway. Overexpression of AREG was found to be correlated with advanced ovarian cancer stages and poor prognosis. Taken together, our data suggest that AREG promotes ovarian cancer stemness and drug resistance via the AREG-EGFR-ERK pathway and this is inhibited by miR-34c-5p. Targeting AREG, miR-34c-5p could be a potential strategy for anti-cancer-stem cell therapy in ovarian cancer.
Similar content being viewed by others
Introduction
Epithelial ovarian cancer is the most lethal gynecological cancer.1, 2 Its high mortality rate is mainly due to late diagnosis, easy spreading, and rapid development of chemoresistance.1, 2, 3 Cancer stem cells are considered to be in part account for chemoresistance, as well as metastasis and recurrent disease.4, 5, 6 Cancer stem cells are defined as a very small subpopulation of tumor cells possessing the ability to self-renew and differentiate leading to the formation of heterogeneous progeny forming the tumor.4, 7 Although number of unique genes and microRNAs (miRNAs) have been found to regulate ovarian cancer stem cells, effective and clinically applicable inhibitors against ovarian cancer stem cells are yet to be developed.8, 9, 10, 11, 12, 13, 14
Human amphiregulin (AREG) is a glycoprotein composed of 84 amino acids and is one of the ligands for the epidermal growth factor receptor (EGFR), a widely expressed transmembrane protein tyrosine kinase.15, 16 Via binding to EGFR and triggering EGFR signaling, AREG has been reported to have important roles in oncogenesis including inhibition of apoptosis, promotion of proliferation, migration, invasion, angiogenesis, chemoresistance and metastasis through activating various downstream signaling pathways such as MAPK/ERK, PI3K/AKT, mTOR and STAT pathways.15, 16 Overexpression of AREG has been reported in solid tumors including ovarian cancer.15, 16 However, the role of AREG in cancer stemness has never been reported. Information about regulation of AREG expression by miRNAs in solid tumors is also scarce.17, 18, 19, 20
The role of miRNAs, a conserved class of small non-coding RNAs consisting of 21-25 nucleotides in length, in anti-cancer therapy has been actively pursued in recent years.21, 22, 23, 24 By binding to the mRNA 3′-untranslated region (3′UTR) sequences of their target genes, miRNAs have been reported to modulate numerous oncogenes or tumor suppressor genes as well as to positively or negatively regulate cancer stem cells.22, 23, 24, 25 Although several laboratories have explored the suppressor roles of miR-34 family in cancer stem cells of various solid tumors such as colon, breast, pancreas, prostate, glioma and non-small cell lung cancer,24, 26, 27, 28, 29 the role of miR-34 family in ovarian cancer stem cells is still unknown.
In present study, we successfully enriched ovarian cancer stem-like cells from an established human ovarian cancer cell line (SKOV-I6) and a fresh ovarian tumor-derived cell line (OVS1). Altered expression levels of AREG and miR-34c-5p were found in those ovarian cancer stem-like cells. The effects of AREG and miR-34c-5p on ovarian cancer stemness and drug resistance were investigated for the first time. Our study has demonstrated that AREG has an important role in promoting ovarian cancer stemness and drug resistance. We are also the first to identify that miR-34c-5p inhibits ovarian cancer stemness and drug resistance through downregulation of the AREG-EGFR-ERK pathway. These results provided important evidence to support miR-34c-5p and AREG as promising candidates for anti-cancer-stem cell therapy in ovarian cancer.
Results
Successful enrichment of ovarian cancer stem-like cells from both SKOV-I6 and OVS1 lines
In order to enrich for cancer stem-like cells, parental SKOV-I6 and OVS1 cells from monolayer were cultured in a stem cell selective condition described in ‘Materials and Methods’ to form spheres. Some of the suspended cells underwent apoptosis during the first 2 days of culturing, and the rest of survived cells formed floating spheres gradually. The spheres grew larger and assume confluent rounded three-dimensional configuration and often reached to 50–100 μM in diameter after 5–8 days (Figure 1a). Spheres were then harvested and propagated. The cells dispersed from those spheres could form new spheres in the subsequent culture. Both SKOV-I6 and OVS1 spheres could be serially passaged for more than 4–5 generations with effective sphere-forming ability, which indicated their unique ability to self-renew.30, 31
Both SKOV-I6 and OVS1 sphere-dispersed cells (sphere cells) had elevated expression of ovarian cancer stem cell and epithelial–mesenchymal transition (EMT) markers mRNAs compared with their parental cells. These ovarian cancer stem cell markers, including CD24, CD44, CD117, CD133 and ALDH, as well as multidrug transporters ABCG2, were significantly higher in SKOV-I6 and OVS1 sphere cells shown by quantitative real-time polymerase chain reaction (qRT–PCR) analysis (Figure 1b; Supplementary Figure 1).32, 33, 34, 35 The mRNA levels of cancer stem cell maintenance factors such as HIF1-α and Notch were also significantly higher in SKOV-I6 and OVS1 sphere cells than in their parental cells (Figure 1b; Supplementary Figure 1).36, 37, 38 We also performed immunofluorescence staining to assess the level of CD44 and CD133 in SKOV-I6 and OVS1 spheres. Diverse expression pattern of CD44 and CD133 was found in spheres of both cell lines (Figure 1c). As for the EMT markers, overexpression of mesenchymal markers including Vimentin, Slug, Snail and Twist as well as loss of expression of the epithelial marker, E-cadherin,39, 40 was found in SKOV-I6 and OVS1 sphere cells at the transcriptional and translational levels (Figures 1d and e).
We examined the chemosensitivity of theses sphere cells and their parental cells by using two first-line chemotherapeutic agents for treating ovarian cancer, docetaxel and carboplatin.41 Parental SKOV-I6 and OVS1 cells and their sphere cells were treated with docetaxel and carboplatin separately for 48 h and cell viability was measured by MTT assay. Sphere cells from both cell lines were more chemoresistant than their respective parental cells. Higher percentage of viable cells of SKOV-I6 sphere cells at the IC50 level of docetaxel (8 nM) and carboplatin (100 μM) indicated significantly increased chemoresistance (Supplementary Figure 2). Similar results were obtained with OVS1 sphere cells at the IC50 level of docetaxel (2.5 nM) and carboplatin (150 μM) (Supplementary Figure 2). SKOV-I6 and OVS1 sphere cells are more chemoresistant to continuous exposure to various concentrations of docetaxel and carboplatin (Figure 1f; Supplementary Figure 3). Thus SKOV-I6 and OVS1 sphere cells showed significantly increased chemoresistance toward docetaxel and carboplatin.
To investigate the tumorigenic potential of OVS1 sphere cells, four different cell numbers (100, 500, 103, 104 cells) of parental OVS1 cells or their sphere cells were implanted into five NOD.CB17-Prkdcscid/NcrCrl (NOD/SCID) mice for each group. Tumor growth was noticed in mice implanted with OVS1 sphere cells even as few as 100 cells with tumor latency of 135 days (Table 1). None of the mice implanted with OVS1 parental cells formed xenograft tumors (Table 1). All xenograft tumors derived from OVS1 sphere cells were resected for pathological examination and were categorized as adenocarcinoma resembling the tumor phenotype of the fresh ovarian tumor which OVS1 cell line was derived from (Figure 1g; Supplementary Figure 4).
Taken together, we have successfully enriched ovarian cancer stem-like cells from both SKOV-I6 and OVS1 cell lines and they display hallmark cancer stem cell characteristics including sphere-forming and self-renewing ability, expression of ovarian cancer stem cell and EMT markers, more chemoresistant and potent tumorigenicity in accordance with established parameters of cancer stem-like cells.4, 7, 30, 31, 42
Upregulated AREG and downregulated miR-34c-5p expression were observed in SKOV-I6 and OVS1 sphere cells
To elucidate the expression of potential genes and miRNAs related to ovarian cancer stemness, genome-wide gene and miRNA microarray analyses of parental OVS1 cells and their sphere cells were performed for transciptome profiling (Figures 2a and b). Among upregulated genes with threshold of 5-fold change of expression level in OVS1 sphere cells compared with their parental cells, we performed literature searching and found 11 cancer stemness related genes and their conserved miRNAs predicted by TargetScan 7.0 (Supplementary Table 1). Among these predicted miRNAs, four were found in our miRNA microarray data (Supplementary Table 2). Among the four, three were upregulated and miR-34c-5p in OVS1 sphere cells showed downregulated expression to -2.26-fold change compared with their parental cells, namely the level of miR-34c-5p in OVS1 sphere cells was about 44% of that of their parental cells. (Figure 2b; Supplementary Table 2). Other miR-34 family members did not display downregulation in OVS1 sphere cells. MiR-34a showed 2.51-fold upregulation (Supplementary Table 2) and miR-34b showed no significant change in OVS1 sphere cells (data not shown). We performed qRT–PCR analysis and found no significant increase of miR-34a mRNA level in OVS1 sphere cells, although there appeared to have a trend of increase in SKOV-I6 sphere cells yet without statistical significance (Supplementary Figure 5a). Furthermore, qRT–PCR analysis showed that transfection of miR-34a failed to cause a significant reduction of AREG in SKOV-I6 or OVS1 cells (Supplementary Figure 5b). Because the expression level of miR-34a was inconsistent in qRT–PCR analysis and in microarray data in OVS1 sphere cells, and miR-34a also failed to show inhibitory effects on AREG in both cell lines, we did not further explore other functional roles of miR-34a. On the other hand, AREG, the target gene of miR-34c-5p, was found with increased expression of 6.94-fold in OVS1 sphere cells compared with their parental cells (Figure 2a).
We further confirmed the upregulation of AREG at transcriptional level by qRT–PCR in SKOV-I6 and OVS1 sphere cells compared with their parental cells (Figure 2c). Transcriptional downregulation of miR-34c-5p was also confirmed by qRT–PCR in SKOV-I6 and OVS1 sphere cells (Figure 2c).
AREG is a direct target of miR-34c-5p
To validate whether AREG is a direct target of miR-34c-5p, we constructed the wild-type Luciferase-AREG-3′UTR (Luc-AREG-3′UTR-wt) plasmid and its mutant plasmid (Luc-AREG-3′UTR-mt) which the putative miR-34c-5p binding site was mutated (Figure 3a). Luciferase reporter assay showed that luciferase activity of the Luc-AREG-3′UTR-wt reporter was suppressed more than 50% by miR-34c-5p in SKOV-I6 and OVS1 cells compared with the control. In contrast, miR-34c-5p had little suppression effect on the luciferase activity of the Luc-AREG-3′UTR-mt reporter (Figure 3a).
Moreover, qRT–PCR and western blotting analysis confirmed that transfection of miR-34c-5p caused a significant reduction of AREG in both transcriptional and translational levels either in SKOV-I6 or in OVS1 cells (Figure 3b). These results indicate that miR-34c-5p directly targets AREG resulting in downregulation of its mRNA and protein.
AREG promotes SKOV-I6 and OVS1 sphere formation, tumorigenicity and drug resistance, which are inhibited by miR-34c-5p
AREG has been shown to have important roles in promoting cancer development and increasing drug resistance.16, 43, 44, 45 AREG was also reported to promote mammospheres formation and mediates self-renewal in an immortal mammary cell line with stem cell characteristics.46 Therefore we decided to further explore the functional roles of AREG and miR-34c-5p in ovarian cancer stemness and drug resistance.
First, we tested whether sphere-forming ability of SKOV-I6 and OVS1 cells could be promoted by AREG and suppressed by miR-34c-5p. After 10 days culturing of SKOV-I6 and OVS1 cells in the stem cell selective condition, sphere number was calculated by visual counting under microscope. Overexpression of AREG caused significant increase of sphere number whereas transfection of miR-34c-5p reduced it markedly, cotransfection with AREG and miR-34c-5p nullified the promoting effect of AREG (Figure 4a). Thus, our data strongly suggest that miR-34c-5p targets AREG to inhibit its promotion of sphere formation.
Next, we examined the enhancing and inhibitory effect of AREG and miR-34c-5p, respectively, on tumorigenicity. Monitoring of tumor growth showed that AREG markedly increased tumorigenicity, which was suppressed by miR-34c-5p significantly (Figure 4b). Cotransfection with AREG and miR-34c-5p reverted the tumor promoting effect of AREG (Figure 4b).
We next investigated the impact of AREG and miR-34c-5p on drug resistance. In parental SKOV-I6 and OVS1 cells, we found that cell viability at docetaxel and carboplatin IC50 levels was decreased after transfection with miR-34c-5p and increased upon overexpression of AREG (Supplementary Figure 6). The increase of cell viability at IC50 levels by AREG was reduced by cotransfection with miR-34c-5p (Supplementary Figure 6). SKOV-I6 and OVS1 cells became more chemosensitive to continuous exposure to different doses of docetaxel and carboplatin after transfection with miR-34c-5p, whereas overexpression of AREG increased chemoresistance, which was reverted by cotransfection with miR-34c-5p (Figures 5a and b).
miR-34c-5p inhibits ovarian cancer stemness and drug resistance through downregulation of the AREG-EGFR-ERK pathway
The effect of EGFR-ERK pathway on cell survival, proliferation, motility and drug resistance has been extensively studied.47, 48 Considering AREG is the ligand of EGFR and the promotion effects of AREG on ovarian cancer stemness and drug resistance, we further investigated if miR-34c-5p inhibited ovarian cancer stemness and drug resistance through the AREG-EGFR-ERK axis.
By western blotting analysis, we found increase of several proteins in the AREG-EGFR-ERK pathway including AREG and phosphorylated forms of EGFR, Raf, MEK and ERK in SKOV-I6 and OVS1 sphere cells compared with their parental cells (Figure 6a). Upregulation of AREG protein in SKOV-I6 and OVS1 sphere cells were compatible with upregulated level of AREG mRNA shown by qRT–PCR (Figures 2c and 6a). This confirms that the AREG-EGFR-ERK pathway is upregulated in ovarian cancer stem-like cells and implies that AREG regulates ovarian cancer stemness and drug resistance through the AREG-EGFR-ERK pathway.
We then examined if miR-34c-5p inhibited ovarian cancer stemness and drug resistance through downregulation of the AREG-EGFR-ERK pathway. Via western blotting analysis, we found that the expression of phosphorylated forms of EGFR, Raf, MEK, and ERK proteins increased after transfection with AREG and decreased after transfection with miR-34c-5p in SKOV-I6 and OVS1 cells (Figure 6b). The enhanced expression of phosphorylated proteins of the AREG-EGFR-ERK pathway caused by AREG was reverted by cotransfection with miR-34c-5p (Figure 6b). It is concluded that miR-34c-5p inhibits AREG-augmented ovarian cancer stemness and drug resistance through downregulation of the AREG-EGFR-ERK pathway (Figure 6c).
The expression of AREG in ovarian cancer patients correlates with advanced clinical stages and poor clinical outcomes
We further explored the correlation of AREG expression level and clinical outcomes of ovarian cancer patients. The paraffin-embedded specimens from clinical patients and commercial tissue array samples were stained with AREG antibody by immunohistochemistry (IHC). Higher IHC score of AREG protein expression correlated with the advanced stages of ovarian cancer in both clinical patients and the tissue array samples (Figure 7a). In survival study, Kaplan–Meier survival analysis of 518 cases from the Oncomine data showed that ovarian cancer patients with high AREG expression correlated with a significantly shorter survival than those with low AREG expression (P=0.0003, Figure 7b). The results suggest that the expression of AREG in ovarian cancer patients correlates with poor clinical outcomes and could serve as an important prognostic marker.
Discussion
Rapid development of chemoresistance is a main obstacle in treating epithelia ovarian cancer.2 Most ovarian cancer patients in advanced stages will develop recurrence within 18 months despite previous treatment and result in chemoresistance and dismal 5-year survival.2, 49 Although platinum-based chemotherapy is the main stream in the treatment of ovarian cancer, many patients eventually became platinum refractory with poor prognosis.2 Other therapeutic agents, including pegylated liposomal doxorubicin, topotecan, bevacizumab and olaparib, have been developed but only with modest effect in the recurrent disease.50, 51, 52, 53 As cancer stem cells contribute to one of the main mechanisms of chemoresistance and likely also recurrence, identification of targetable molecular markers and miRNAs regulating ovarian cancer stem cells will be important to improve treatment efficacy. In the present study, we successfully enriched ovarian cancer stem-like cells and demonstrated that AREG promotes ovarian cancer stemness and drug resistance via the AREG-EGFR-ERK pathway and that miR-34c-5p targets AREG to inhibit ovarian cancer stemness and drug resistance. Both AREG and miR-34c-5p could potentially serve as prognostic biomarkers and/or targets for developing ovarian cancer therapeutics.
Cancer stem cells are well known to possess several important properties including the ability to grow into three-dimensioned spheres, self-renewal ability, generating xenograft tumors with high potency, and expression of unique cancer stem cell surface markers.4, 7, 30, 31, 42 Common methods for enrichment of ovarian cancer stem cells include selection by cancer stem cell surface markers, sphere forming and drug treatment.32, 54, 55 Our study enriched ovarian cancer stem-like cells from SKOV-I6 and OVS1 cell lines by sphere-forming method in nonadhesive culture plates with serum-free culture medium. These enriched spheroid cells expressed hallmark characteristics of ovarian cancer stem cells as described above and formed tumor with histology resembling the original tumor phenotype which OVS1 cell line was derived from. These ovarian cancer stem-like cells overexpressed specific ovarian cancer stem cell markers including CD24, CD44, CD117, CD133 and ALDH. Although some studies isolated ovarian cancer stem cells by selecting CD24− cells,33, 34, 56 most studies support CD24 as an important ovarian cancer stem cell marker.33, 34, 35, 57 We also demonstrated that the ovarian cancer stem-like cells possess EMT markers and significant chemoresistance in accordance with previous reports.34, 54, 58 These results confirmed that we had successfully enriched ovarian cancer stem-like cells from both cell lines.
Although AREG was reported to have a pivotal role for mammary gland ductal morphogenesis and to mediate oncogenic processes,15, 16 only one study reported that AREG enhanced mammospheres with stem cell characteristics from mammary epithelial cells.46 The role of AREG in cancer stem cells has never been clearly demonstrated before. Our investigation for the first time demonstrated that AREG was upregulated in ovarian cancer stem-like cells and contributed to ovarian cancer stemness characteristics. Some studies revealed that cancer cells isolated from ascites possess stemness properties,59, 60 and abundant amount of AREG was also found in ascites of ovarian cancer patients.61 Our observation of the overexpression of AREG in ovarian cancer stem-like cells suggesting presence of ovarian cancer stem cells in ascites is consistent with the above mentioned reports. Expression of AREG has been associated with poor prognosis in several cancers, including colon, ovarian, cervical, breast, pancreatic and brain cancers.15, 62, 63, 64, 65, 66 Our data indicating that high expression of AREG correlated with advanced stages and shorter survival in ovarian cancer patients is in agreement with previous reports and reinforces that AREG could serve as a prognostic marker for ovarian cancer.
The miR-34 family is composed of three members, including miR-34a, miR-34b and miR-34c.67, 68 Although the miR-34 family shares over 80% homology with each other and thus control a similar set of target genes, their differential effects on various cancers and cancer stem cells need further study.67, 68, 69 According to our microarray data, only miR-34c-5p in the miR-34 family was downregulated in OVS1 sphere cells compared with their parental cells. The differences of expression in miR-34 family members in different cancers have been previously reported, miR-34a was reported to be overexpressed in renal cell carcinoma tissues, melanoma cell lines, and hepatoma cell lines, yet miR-34c was shown to display low expression in the above tissue samples and cell lines.70, 71, 72 We found that miR-34a did not show significant inhibitory effect on AREG. Although miR-34a and miR-34c-5p share the same ‘seed’ region which means base pair between nucleotide 2–7 of the miRNA and complementary sequences in the 3′UTR of the target genes according to the previous reports,73, 74, 75 several studies also have indicated that the seed region is not the only factor of target recognition and thus miR-34a and miR-34c-5p exert different regulatory abilities toward their target genes despite their seed regions are identical.73, 74, 76 In our study, we confirmed the low expression of miR-34c-5p by qRT–PCR in both SKOV-I6 and OVS1 sphere cells. Low expression of miR-34c has been reported in several cancers including breast, lung, pancreatic, brain, ovarian, laryngeal and prostate cancers.68, 69, 77, 78, 79, 80 Some studies also demonstrated downregulation of miR-34c in breast and prostate cancer stem cells and the roles of miR-34c to suppress cancer stemness via targeting p53 and Notch genes but have never linked to AREG.27, 81, 82 The role of miR-34c-5p in ovarian cancer stem cells has never been reported before and information on its regulatory role on AREG is also lacking. In this study, we demonstrated that miR-34c-5p directly targeted and downregulated AREG to inhibit ovarian cancer stemness and drug resistance. AREG has been suggested as a good target for treating cancer, inhibition of AREG by siRNA or monoclonal antibodies results in apoptosis of cancer cells or shrinkage of mice xenograft tumors.15, 61, 83 Our study showed that transfection of SKOV-I6 cells with miR-34c-5p resulted in significant decrease of tumor volumes in NOD/SCID mice. Our data also demonstrated that miR-34c-5p was able to repress ovarian cancer stemness and drug resistance via targeting AREG-mediated EGFR-ERK pathway. Intercepting EGFR-ERK signaling pathway through blocking EGFR has been widely used in treating colon, breast, lung and head and neck cancers in recent years,61, 84 yet the efficacy of blocking EGFR in treating ovarian cancer has not been significant.85 Since AREG has been suggested as a promising target in cancer treatment, suppressing AREG to target ovarian cancer stem cells via inhibiting EGFR-ERK signaling pathway could be a reasonable option.15, 16, 61, 83 Our results also suggest that targeting AREG by miR-34c-5p might be an alternative strategy to inhibit ovarian cancer stem cells. Further study will focus on the combination efficacy of miR-34c-5p and chemotherapeutic agents, as well as AREG-tailored treatment to target ovarian cancer stem cells.
In the present study, we successfully enriched ovarian cancer stem-like cells and for the first time demonstrated the essential role of AREG in regulating ovarian cancer stemness. We also first revealed that miR-34c-5p directly targeted AREG and downregulated AREG-mediated ovarian cancer stemness and drug resistance. Clinical relevance of AREG with advanced stages and poor outcomes in ovarian cancer patients was reinforced in our study. In conclusion, our data implies that miR-34c-5p could be a promising strategy in the treatment of ovarian cancer via downregulation of the AREG-EGFR-ERK pathway to inhibit ovarian cancer stemness and drug resistance.
Materials and methods
Cell lines, cell culture, sphere culture and tumor samples
All patient-related studies were approved by Institutional Review Boards of Taipei Veterans General Hospital and National Health Research Institutes (NHRI). The informed consents were obtained from all patients. The OVS1 cell line was derived from a fresh ovarian tumor obtained from Taipei Veterans General Hospital. The histopathology of the fresh ovarian tumor was described in Supplementary Figure 4. Detailed procedure for derivation of OVS1 cell line was described in Supplementary Figure 7. The highly invasive human ovarian cancer cell line, SKOV-I6, was derive from SKOV-3 cell line reported previously.86 The two derived cell lines, SKOV-I6 and OVS1, were both authenticated by STR profiling. Both SKOV-I6 and OVS1 cell were cultured in DMEM (Invitrogen, Carisbad, CA, USA) supplemented with 10% fetal bovine serum (DMEM-10 medium). To obtain spheres in culture, monolayer cells of parental SKOV-I6 and OVS1 cells were cultured in the stem cell selective condition by plating cells in Corning Costar ultra-low attachment 6-well plates (Sigma-Aldrich Inc., St Louis, MO, USA) at a density of 1 × 105 cells per well with 3 ml of serum-free PSGro hESC/iPSC growth medium (System Biosciences, Palo Alto,CA, USA). Propagation of spheres was processed by gentle centrifugation, dissociation with trypsin-EDTA and repeated pipetting to obtain single-cell suspensions, and then plating the cells in the above stem cell selective condition every 5–8 days. The total numbers of spheres were counted under microscope after 10 days of culturing, any sphere consisting of at least 5 cells was calculated according to the published report.46 Spheres cultured for 10–14 days were used for all subsequent experiments. Details of tumor samples for IHC stain were described in Figure 7.
Total RNA isolation and qRT–PCR
Detailed procedures of total RNA isolation and qRT–PCR were described elsewhere.87 The expression levels of mRNA were normalized to that of actin or RNU6B. The primer details are described in Supplementary Table 3.
Western blotting analysis
Detailed procedure was described elsewhere.87 All antibodies used are listed in Supplementary Table 4.
Immunofluorescence staining and confocal microscope image analysis
Immunofluorescence staining was carried out according to the manufacture’s protocol using antibodies against CD44 (BD Biosciences, San Jose, CA, USA), CD133 (Miltenyi Biotec, Auburn, CA, USA), and cytokeratin 7 (CK7) (Abcam, Cambridge, MA, USA) in 1:400 dilution, the Alexa Fluor 488 and Alexa Fluor 594 -conjugated goat anti-mouse IgG antibodies (Invitrogen) were used as the secondary antibodies in 1:200 dilution. Immunofluorescence staining for spheres followed the protocol of a published report.88 Samples were inspected and photographed using the Leica SP5 ll scanning confocal microscope (Leica, Bannockburn, IL, USA).
Cell proliferation assay
The cell proliferation assay was evaluated using MTT assay (Promega, Madison, WI, USA) according to the manufacture’s protocol. Briefly, cells were plated at a density around 5000 cells per well in 96-well plates and were incubated for 24 h. Cells were then treated with different concentrations of docetaxel (TTY Biopharm, Taipei, Taiwan) and carboplatin (Pharmachemie BV, Haarlem, Holland), respectively, and were incubated for 48 h at 37 °C. The quantity of formazan product, which is directly proportional to the number of viable cells, was measured at a wave length of 490 nm with 96-well plate reader. The drug concentration required to suppress proliferation by 50% is defined as IC50. All data were calculated from three independent experiments performed in triplicate samples.
Transfection assay
SKOV-I6 and OVS1 parental cells were cultured until 80% confluence and then were divided into four groups to be transfected with plasmids containing negative control vectors, miR-34c-5p alone, AREG alone, or miR-34c-5p and AREG by using Lipofectamine 2000 (Invitrogen) or RNAi-MAX (Invitrogen). The miR-34c-5p was purchased from Invitrogen. AREG coding sequence was cloned in pcDNA3.1. Plasmids containing the control sequences for miRNA (MDbio, Inc. Taipei, Taiwan) and pcDNA3.1 were used as negative control vectors. Cells were transfected for 48 h and then were collected for appropriate experiments.
Experimental animals and tumorigenicity test
OVS1 parental cells and spheres dispersed into single-cell suspension were collected and, respectively, divided into four different cell number groups (100, 500, 103 and 104 cells) for injection. Twenty 6- to 8-week-old female NOD/SCID mice (BioLasco, Taipei, Taiwan) were randomly divided into four groups (five mice per group) and were then implanted with the above groups of cells into the right fourth mammary fat pads because fat pad implantation yielded the highest tumor taken rate.89 The sample size of each group was to ensure the chance of statistic significance and to minimize the sacrifice of the living animals for humanitarian reasons. Tumor volumes were measured once a week. Tumor generation was evaluated until 9 months after implantation. In addition, parental SKOV-I6 cells (1 × 106 cells) were divided into four groups according to different transfection status described in transfection assay and were implanted randomly into five NOD/SCID mice (BioLasco) for each group as described above. Tumor volumes were measured twice a week. All of the procedures were carried out under approved Institutional Animal Care and Use Committee protocols of NHRI.
Microarray analysis
Total RNAs were extracted from parental OVS1 cells and their sphere cells and then were analyzed with Affymetrix GeneChip system (Affymetrix, Santa Clara, CA, USA) for gene expression, and analyzed with Affymetrix miRNA 2.0 Arrays (Affymetrix) for miRNA expression. All of the microarray analyses were performed at the Microarry Core Laboratory in NHRI.
Plasmids construction and 3′UTR luciferase reporter assays
The wild-type AREG-3′UTR was cloned into the pGL3-control plasmid (Promega). The mutant AREG-3′UTR was generated by site directed mutagenesis. The Luc-3′UTR-wt or Luc-3′UTR-mt reporter plasmids were prepared by inserting the AREG-3′UTR-wt carrying a putative miR-34c-5p binding site or its mutant sequence, respectively, into the pGL3-control plasmid. Primer sequences were described in Supplementary Table 3. Luc-AREG-3′UTR-wt or Luc-AREG-3′UTR-mt was cotransfected with the miR-34c-5p plasmid into parental SKOV-I6 and OVS1 cells. The cells were harvested 48 h after transfection. Luciferase activity was measured according to the manufacture’s protocol (Promega). Renilla luciferase was cotransfected as a control for normalization.
IHC
IHC staining was performed according to the published procedure using rabbit anti-AREG antibody (Sigma-Aldrich) at the Pathology Core Laboratory in NHRI.90 The IHC score of AREG for each specimen was graded as follows: negative (score 0), weakly positive (score 1), moderately positive (score 2), and strongly positive (score 3).91, 92
Public data sets
As for data set analysis of ovarian cancer patients, we searched the public cancer microarray data set (http://www.oncomine.org) to validate mRNA expression of the AREG gene and its correlation with clinical parameters from The Cancer Genome Atlas – ovarian serous cystadenocarcinoma gene expression data.93
Flow cytometry
The procedures followed the published report.94 The cells were stained with anti-human epithelial cell adhesion molecule FITC antibody (Stem Cell Technologies) or with anti-CK7 antibody (Abcam) and were collected and dispersed for flow cytometry using BD FACSAria flow cytometer (BD Biosciences).
Statistical analysis
Student’s t-test was used for comparison of differences between experimental groups. Multiple t-test and paired t-test were used for comparison of drug resistance in dose-dependent growth inhibition and for comparison of growth of xenograft tumors between experimental groups. Kaplan–Meier method was used for analyzing survival data. Statistical significance was accepted with P<0.05.
References
Conic I, Dimov I, Tasic-Dimov D, Djordjevic B, Stefanovic V . Ovarian epithelial cancer stem cells. ScientificWorldJournal 2011; 11: 1243–1269.
Jayson GC, Kohn EC, Kitchener HC, Ledermann JA . Ovarian cancer. Lancet 2014; 384: 1376–1388.
Jelovac D, Armstrong DK . Role of farletuzumab in epithelial ovarian carcinoma. Curr Pharm Des 2012; 18: 3812–3815.
O'Brien CA, Kreso A, Jamieson CHM . Cancer stem cells and self-renewal. Clin Cancer Res 2010; 16: 3113–3120.
Dean M, Fojo T, Bates S . Tumour stem cells and drug resistance. Nat Rev Cancer 2005; 5: 275–284.
Ahmed N, Abubaker K, Findlay J, Quinn M . Cancerous ovarian stem cells: obscure targets for therapy but relevant to chemoresistance. J Cell Biochem 2013; 114: 21–34.
Smith A . A glossary for stem-cell biology. Nature 2006; 441: 1060.
Zhang S, Cui B, Lai H, Liu G, Ghia EM, Widhopf GF et al. Ovarian cancer stem cells express ROR1, which can be targeted for anti–cancer-stem-cell therapy. Proc Natl Acad Sci USA 2014; 111: 17266–17271.
Han C, Zhao R, Liu X, Srivastava A, Gong L, Mao H et al. DDB2 suppresses tumorigenicity by limiting the cancer stem cell population in ovarian cancer. Mol Cancer Res 2014; 12: 784–794.
Ning Y-X, Li Q-X, Ren K-Q, Quan M-F, Cao J-G . 7-difluoromethoxyl-5,4′-di-n-octyl genistein inhibits ovarian cancer stem cell characteristics through the downregulation of FOXM1. Oncol Lett 2014; 8: 295–300.
Qin W, Ren Q, Liu T, Huang Y, Wang J . MicroRNA-155 is a novel suppressor of ovarian cancer-initiating cells that targets CLDN1. FEBS Lett 2013; 587: 1434–1439.
Cheng W, Liu T, Wan X, Gao Y, Wang H . MicroRNA-199a targets CD44 to suppress the tumorigenicity and multidrug resistance of ovarian cancer-initiating cells. FEBS J 2012; 279: 2047–2059.
Chen D, Zhang Y, Wang J, Chen J, Yang C, Cai K et al. MicroRNA-200c overexpression inhibits tumorigenicity and metastasis of CD117(+)CD44(+) ovarian cancer stem cells by regulating epithelial-mesenchymal transition. J Ovarian Res 2013; 6: 50.
Xu C-X, Xu M, Tan L, Yang H, Permuth-Wey J, Kruk PA et al. MicroRNA miR-214 regulates ovarian cancer cell stemness by targeting p53/Nanog. J Biol Chem 2012; 287: 34970–34978.
Busser B, Sancey L, Brambilla E, Coll J-L, Hurbin A . The multiple roles of amphiregulin in human cancer. Biochim Biophys Acta 2011; 1816: 119–131.
Berasain C, Avila MA . Amphiregulin. Semin Cell Dev Biol 2014; 28: 31–41.
Taira N, Yamaguchi T, Kimura J, Lu Z-G, Fukuda S, Higashiyama S et al. Induction of amphiregulin by p53 promotes apoptosis via control of microRNA biogenesis in response to DNA damage. Proc Natl Acad Sci USA 2014; 111: 717–722.
Zhang J, Wang Y, Chen X, Zhou Y, Jiang F, Chen J et al. MiR-34a suppresses amphiregulin and tumor metastatic potential of head and neck squamous cell carcinoma (HNSCC). Oncotarget 2015; 6: 7454–7469.
Yoshitomi T, Kawakami K, Enokida H, Chiyomaru T, Kagara I, Tatarano S et al. Restoration of miR-517a expression induces cell apoptosis in bladder cancer cell lines. Oncol Rep 2011; 25: 1661–1668.
Li QQ, Chen ZQ, Cao XX, Xu JD, Xu JW, Chen YY et al. Involvement of NF-κB/miR-448 regulatory feedback loop in chemotherapy-induced epithelial–mesenchymal transition of breast cancer cells. Cell Death Differ 2011; 18: 16–25.
Cho WCS . MicroRNAs in cancer — from research to therapy. Biochim Biophys Acta 2010; 1805: 209–217.
Ventura A, Jacks T . miRNAs and cancer: a little RNA goes a long way. Cell 2009; 136: 586–591.
Abba ML, Patil N, Leupold JH, Moniuszko M, Utikal J, Niklinski J et al. MicroRNAs as novel targets and tools in cancer therapy. Cancer Lett 2016; 387: 84–94.
Liu C, Tang DG . MicroRNA regulation of cancer stem cells. Cancer Res 2011; 71: 5950–5954.
Bimonte S, Leongito M, Barbieri A, del Vecchio V, Falco M, Giudice A et al. The therapeutic targets of miRNA in hepatic cancer stem cells. Stem Cells Int 2016; 2016: 1065230.
Bu P, Chen K-Y, Chen JH, Wang L, Walters J, Shin YJ et al. A microRNA miR-34a regulated bimodal switch targets Notch in colon cancer stem cells. Cell Stem Cell 2013; 12: 602–615.
Yu F, Jiao Y, Zhu Y, Wang Y, Zhu J, Cui X et al. MicroRNA 34c gene down-regulation via DNA methylation promotes self-renewal and epithelial-mesenchymal transition in breast tumor-initiating cells. J Biol Chem 2012; 287: 465–473.
Ji Q, Hao X, Zhang M, Tang W, Yang M, Li L et al. MicroRNA miR-34 inhibits human pancreatic cancer tumor-initiating cells. PLoS ONE 2009; 4: e6816.
Shi Y, Liu C, Liu X, Tang DG, Wang J . The microRNA miR-34a inhibits non-small cell lung cancer (NSCLC) growth and the CD44hi stem-like NSCLC cells. PLoS ONE 2014; 9: e90022.
Hansford LM, McKee AE, Zhang L, George RE, Gerstle JT, Thorner PS et al. Neuroblastoma cells isolated from bone marrow metastases contain a naturally enriched tumor-initiating cell. Cancer Res 2007; 67: 11234–11243.
Cao L, Zhou Y, Zhai B, Liao J, Xu W, Zhang R et al. Sphere-forming cell subpopulations with cancer stem cell properties in human hepatoma cell lines. BMC Gastroenteol 2011; 11: 1–11.
Ffrench B, Gasch C, O’Leary JJ, Gallagher MF . Developing ovarian cancer stem cell models: laying the pipeline from discovery to clinical intervention. Mol Cancer 2014; 13: 262.
Burgos-Ojeda D, Rueda BR, Buckanovich RJ . Ovarian cancer stem cell markers: prognostic and therapeutic implications. Cancer Lett 2012; 322: 1–7.
Foster R, Buckanovich RJ, Rueda BR . Ovarian cancer stem cells: working towards the root of stemness. Cancer Lett 2013; 338: 147–157.
Garson K, Vanderhyden BC . Epithelial ovarian cancer stem cells: underlying complexity of a simple paradigm. Reproduction 2015; 149: R59–R70.
Heddleston JM, Li Z, Lathia JD, Bao S, Hjelmeland AB, Rich JN . Hypoxia inducible factors in cancer stem cells. Br J Cancer 2010; 102: 789–795.
Liang D, Ma Y, Liu J, Trope CG, Holm R, Nesland JM et al. The hypoxic microenvironment upgrades stem-like properties of ovarian cancer cells. BMC Cancer 2012; 12: 201.
McAuliffe SM, Morgan SL, Wyant GA, Tran LT, Muto KW, Chen YS et al. Targeting Notch, a key pathway for ovarian cancer stem cells, sensitizes tumors to platinum therapy. Proc Natl Acad Sci USA 2012; 109: E2939–E2948.
Acloque H, Adams MS, Fishwick K, Bronner-Fraser M, Nieto MA . Epithelial-mesenchymal transitions: the importance of changing cell state in development and disease. J Clin Invest 2009; 119: 1438–1449.
Kalluri R . EMT: when epithelial cells decide to become mesenchymal-like cells. J Clin Invest 2009; 119: 1417–1419.
Vasey PA, Jayson GC, Gordon A, Gabra H, Coleman R, Atkinson R et al. Phase III randomized trial of docetaxel–carboplatin versus paclitaxel–carboplatin as first-line chemotherapy for ovarian carcinoma. J Natl Cancer Inst 2004; 96: 1682–1691.
Clarke MF, Dick JE, Dirks PB, Eaves CJ, Jamieson CHM, Jones DL et al. Cancer stem cells—perspectives on current status and future directions: AACR workshop on cancer stem cells. Cancer Res 2006; 66: 9339–9344.
Castillo J, Erroba E, Perugorría MJ, Santamaría M, Lee DC, Prieto J et al. Amphiregulin contributes to the transformed phenotype of human hepatocellular carcinoma cells. Cancer Res 2006; 66: 6129–6138.
Willmarth NE, Ethier SP . Autocrine and juxtacrine effects of amphiregulin on the proliferative, invasive, and migratory properties of normal and neoplastic human mammary epithelial cells. J Biol Chem 2006; 281: 37728–37737.
Eckstein N, Servan K, Girard L, Cai D, von Jonquieres G, Jaehde U et al. Epidermal growth factor receptor pathway analysis identifies amphiregulin as a key factor for cisplatin resistance of human breast cancer cells. J Biol Chem 2008; 283: 739–750.
Booth BW, Boulanger CA, Anderson LH, Jimenez-Rojo L, Brisken C, Smith GH . Amphiregulin mediates self-renewal in an immortal mammary epithelial cell line with stem cell characteristics. Exp Cell Res 2010; 316: 422–432.
Avraham R, Yarden Y . Feedback regulation of EGFR signalling: decision making by early and delayed loops. Nat Rev Mol Cell Biol 2011; 12: 104–117.
Roberts PJ, Der CJ . Targeting the Raf-MEK-ERK mitogen-activated protein kinase cascade for the treatment of cancer. Oncogene 2007; 26: 3291–3310.
Siegel R, Naishadham D, Jemal A . Cancer statistics, 2013. CA Cancer J Clin 2013; 63: 11–30.
Pujade-Lauraine E, Wagner U, Aavall-Lundqvist E, Gebski V, Heywood M, Vasey PA et al. Pegylated liposomal doxorubicin and carboplatin compared with paclitaxel and carboplatin for patients with platinum-sensitive ovarian cancer in late relapse. J Clin Oncol 2010; 28: 3323–3329.
Gordon AN, Fleagle JT, Guthrie D, Parkin DE, Gore ME, Lacave AJ . Recurrent epithelial ovarian carcinoma: a randomized phase III study of pegylated liposomal doxorubicin versus topotecan. J Clin Oncol 2001; 19: 3312–3322.
Burger RA, Brady MF, Bookman MA, Fleming GF, Monk BJ, Huang H et al. Incorporation of bevacizumab in the primary treatment of ovarian cancer. N Engl J Med 2011; 365: 2473–2483.
Ledermann J, Harter P, Gourley C, Friedlander M, Vergote I, Rustin G et al. Olaparib maintenance therapy in platinum-sensitive relapsed ovarian cancer. N Engl J Med 2012; 366: 1382–1392.
Wintzell M, Löfstedt L, Johansson J, Pedersen AB, Fuxe J, Shoshan M . Repeated cisplatin treatment can lead to a multiresistant tumor cell population with stem cell features and sensitivity to 3-bromopyruvate. Cancer Biol Ther 2012; 13: 1454–1462.
Abubaker K, Latifi A, Luwor R, Nazaretian S, Zhu H, Quinn MA et al. Short-term single treatment of chemotherapy results in the enrichment of ovarian cancer stem cell-like cells leading to an increased tumor burden. Mol Cancer 2013; 12: 24.
Meng E, Long B, Sullivan P, McClellan S, Finan MA, Reed E et al. CD44+/CD24− ovarian cancer cells demonstrate cancer stem cell properties and correlate to survival. Clin Exp Metastasis 2012; 29: 939–948.
Gao MQ, Choi YP, Kang S, Youn JH, Cho NH . CD24+ cells from hierarchically organized ovarian cancer are enriched in cancer stem cells. Oncogene 2010; 29: 2672–2680.
Chen X, Zhang J, Zhang Z, Li H, Cheng W, Liu J . Cancer stem cells, epithelial-mesenchymal transition, and drug resistance in high-grade ovarian serous carcinoma. Human Pathol 2013; 44: 2373–2384.
Wintzell M, Hjerpe E, Avall Lundqvist E, Shoshan M . Protein markers of cancer-associated fibroblasts and tumor-initiating cells reveal subpopulations in freshly isolated ovarian cancer ascites. BMC Cancer 2012; 12: 359.
Vathipadiekal V, Saxena D, Mok SC, Hauschka PV, Ozbun L, Birrer MJ . Identification of a potential ovarian cancer stem cell gene expression profile from advanced stage papillary serous ovarian cancer. PLoS ONE 2012; 7: e29079.
Carvalho S, Lindzen M, Lauriola M, Shirazi N, Sinha S, Abdul-Hai A et al. An antibody to amphiregulin, an abundant growth factor in patients' fluids, inhibits ovarian tumors. Oncogene 2016; 35: 438–447.
Panupinthu N, Yu S, Zhang D, Zhang F, Gagae M, Lu Y et al. Self-reinforcing loop of amphiregulin and Y-box binding protein-1 contributes to poor outcomes in ovarian cancer. Oncogene 2014; 33: 2846–2856.
Xu Q, Ying M, Chen G, Lin A, Xie Y, Ohara N et al. ADAM17 is associated with EMMPRIN and predicts poor prognosis in patients with uterine cervical carcinoma. Tumour Biol 2014; 35: 7575–7586.
Kim J-W, Kim DK, Min A, Lee K-H, Nam H-J, Kim JH et al. Amphiregulin confers trastuzumab resistance via AKT and ERK activation in HER2-positive breast cancer. J Cancer Res Clin Oncol 2016; 142: 157–165.
Wang L, Wu H, Wang L, Lu J, Duan H, Liu X et al. Expression of amphiregulin predicts poor outcome in patients with pancreatic ductal adenocarcinoma. Diagn Pathol 2016; 11: 60.
Skiriutė D, Vaitkienė P, Ašmonienė V, Steponaitis G, Deltuva VP, Tamašauskas A . Promoter methylation of AREG, HOXA11, hMLH1, NDRG2, NPTX2 and Tes genes in glioblastoma. J Neurooncol 2013; 113: 441–449.
Bader A . miR-34 – a microRNA replacement therapy is headed to the clinic. Front Genet 2012; 3: 120.
Prokopi M, Kousparou CA, Epenetos AA . The secret role of microRNAs in cancer stem cell development and potential therapy: a Notch-pathway approach. Front Oncol 2014; 4: 389.
Wu Z, Wu Y, Tian YE, Sun X, Liu J, Ren H et al. Differential effects of miR-34c-3p and miR-34c-5p on the proliferation, apoptosis and invasion of glioma cells. Oncol Lett 2013; 6: 1447–1452.
Fritz HK, Gustafsson A, Ljungberg B, Ceder Y, Axelson H, Dahlback B . The Axl-regulating tumor suppressor miR-34a is increased in ccRCC but does not correlate with Axl mRNA or Axl protein levels. PLoS ONE 2015; 10: e0135991.
Heinemann A, Zhao F, Pechlivanis S, Eberle J, Steinle A, Diederichs S et al. Tumor suppressive microRNAs miR-34a/c control cancer cell expression of ULBP2, a stress-induced ligand of the natural killer cell receptor NKG2D. Cancer Res 2012; 72: 460–471.
Wang Z, Burke PA . The role of microRNAs in hepatocyte nuclear factor-4alpha expression and transactivation. Biochim Biophys Acta 2013; 1829: 436–442.
Navarro F, Lieberman J . miR-34 and p53: new insights into a complex functional relationship. PLoS ONE 2015; 10: e0132767.
Ebner OA, Selbach M . Quantitative proteomic analysis of gene regulation by miR-34a and miR-34c. PLoS ONE 2014; 9: e92166.
Li X, Chen Y, Wu S, He J, Lou L, Ye W et al. microRNA-34a and microRNA-34c promote the activation of human hepatic stellate cells by targeting peroxisome proliferator-activated receptor gamma. Mol Med Rep 2015; 11: 1017–1024.
Brennecke J, Stark A, Russell RB, Cohen SM . Principles of microRNA–target recognition. PLoS Biol 2005; 3: e85.
Yu Z, Kim J, He L, Creighton CJ, Gunaratne PH, Hawkins SM et al. Functional analysis of miR-34c as a putative tumor suppressor in high-grade serous ovarian cancer. Biol Reprod 2014; 91: 113.
Cai KM, Bao XL, Kong XH, Jinag W, Mao MR, Chu JS et al. Hsa-miR-34c suppresses growth and invasion of human laryngeal carcinoma cells via targeting c-Met. Int J Mol Med 2010; 25: 565–571.
Re M, Çeka A, Rubini C, Ferrante L, Zizzi A, Gioacchini FM et al. MicroRNA-34c-5p is related to recurrence in laryngeal squamous cell carcinoma. Laryngoscope 2015; 125: E306–E312.
Hagman Z, Larne O, Edsjö A, Bjartell A, Ehrnström RA, Ulmert D et al. miR-34c is downregulated in prostate cancer and exerts tumor suppressive functions. Int J Cancer 2010; 127: 2768–2776.
Morata-Tarifa C, Jimenez G, Garcia MA, Entrena JM, Grinan-Lison C, Aguilera M et al. Low adherent cancer cell subpopulations are enriched in tumorigenic and metastatic epithelial-to-mesenchymal transition-induced cancer stem-like cells. Sci Rep 2016; 6: 18772.
Chen Y, Rao Q, Zhang H, Xu H, Zhang C, Zhuang Q et al. miR-34C disrupts the stemness of purified CD133+ prostatic cancer stem cells. Urology 2016; 96: 177.e171–177.e179.
Yotsumoto F, Yagi H, Suzuki SO, Oki E, Tsujioka H, Hachisuga T et al. Validation of HB-EGF and amphiregulin as targets for human cancer therapy. Biochem Biophys Res Commun 2008; 365: 555–561.
Specenier P, Vermorken JB . Cetuximab: its unique place in head and neck cancer treatment. Biologics 2013; 7: 77–90.
Despierre E, Vergote I, Anderson R, Coens C, Katsaros D, Hirsch FR et al. Erratum to: epidermal growth factor receptor (EGFR) pathway biomarkers in the randomized phase III trial of erlotinib versus observation in ovarian cancer patients with no evidence of disease progression after first-line platinum-based chemotherapy. Target Oncol 2016; 11: 429–442.
Yeh Y-M, Chuang C-M, Chao K-C, Wang L-H . MicroRNA-138 suppresses ovarian cancer cell invasion and metastasis by targeting SOX4 and HIF-1α. Int J Cancer 2013; 133: 867–878.
Lin KT, Gong J, Li CF, Jang TH, Chen WL, Chen HJ et al. Vav3-rac1 signaling regulates prostate cancer metastasis with elevated Vav3 expression correlating with prostate cancer progression and posttreatment recurrence. Cancer Res 2012; 72: 3000–3009.
Sasaki R, Aoki S, Yamato M, Uchiyama H, Wada K, Ogiuchi H et al. A protocol for immunofluorescence staining of floating neurospheres. Neurosci Lett 2010; 479: 126–127.
Stewart JM, Shaw PA, Gedye C, Bernardini MQ, Neel BG, Ailles LE et al. Phenotypic heterogeneity and instability of human ovarian tumor-initiating cells. Proc Natl Acad Sci USA 2011; 108: 6468–6473.
Packeisen J, Buerger H, Krech R, Boecker W . Tissue microarrays: a new approach for quality control in immunohistochemistry. J Clin Pathol 2002; 55: 613–615.
van Diest PJ, van Dam P, Henzen-Logmans SC, Berns E, van der Burg ME, Green J et al. A scoring system for immunohistochemical staining: consensus report of the task force for basic research of the EORTC-GCCG. European Organization for Research and Treatment of Cancer-Gynaecological Cancer Cooperative Group. J Clin Pathol 1997; 50: 801–804.
Zlobec I, Steele R, Michel RP, Compton CC, Lugli A, Jass JR . Scoring of p53, VEGF, Bcl-2 and APAF-1 immunohistochemistry and interobserver reliability in colorectal cancer. Mod Pathol 2006; 19: 1236–1242.
Rhodes DR, Yu J, Shanker K, Deshpande N, Varambally R, Ghosh D et al. ONCOMINE: a cancer microarray database and integrated data-mining platform. Neoplasia 2004; 6: 1–6.
Kreso A, O'Brien CA . Colon cancer stem cells. Curr Protoc Stem Cell Biol 2008; Chapter 3: 1.
Acknowledgements
We thank the Microarray Core Laboratory of NHRI for genome-wide gene and miRNA microarray analysis and the Pathology Core Laboratory of NHRI for all of the H&E and IHC staining. The study was supported by grants from Ministry of Science and Technology, Taiwan (MOST 104-2320-B-400-011-MY3) and National Health Research Institutes, Taiwan (05A1-MGPP10-014).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare no conflict of interest.
Additional information
Supplementary Information accompanies this paper on the Oncogenesis website
Supplementary information
Rights and permissions
Oncogenesis is an open-access journal published by Nature Publishing Group. This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
About this article
Cite this article
Tung, SL., Huang, WC., Hsu, FC. et al. miRNA-34c-5p inhibits amphiregulin-induced ovarian cancer stemness and drug resistance via downregulation of the AREG-EGFR-ERK pathway. Oncogenesis 6, e326 (2017). https://doi.org/10.1038/oncsis.2017.25
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/oncsis.2017.25
This article is cited by
-
Amphiregulin Downregulates E-cadherin Expression by Activating YAP/Egr-1/Slug Signaling in SKOV3 Human Ovarian Cancer Cells
Reproductive Sciences (2024)
-
Identification of an individualized therapy prognostic signature for head and neck squamous cell carcinoma
BMC Genomics (2023)
-
miR-33a-3p regulates METTL3-mediated AREG stability and alters EMT to inhibit pancreatic cancer invasion and metastasis
Scientific Reports (2023)
-
MicroRNA-485-5p targets keratin 17 to regulate oral cancer stemness and chemoresistance via the integrin/FAK/Src/ERK/β-catenin pathway
Journal of Biomedical Science (2022)
-
IFITM3 promotes malignant progression, cancer stemness and chemoresistance of gastric cancer by targeting MET/AKT/FOXO3/c-MYC axis
Cell & Bioscience (2022)