Cyclooxygenase‑2 expression is associated with chemoresistance through cancer stemness property in hypopharyngeal carcinoma
- Authors:
- Published online on: May 17, 2021 https://doi.org/10.3892/ol.2021.12794
- Article Number: 533
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Copyright: © Saito et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Head and neck squamous cell carcinoma (HNSCC) is the sixth leading cancer by incidence worldwide (1). Treatment modalities for HNSCC have advanced, but there is still a high incidence of recurrence after initial therapy with rates of 40–50% reported for hypopharyngeal carcinoma (2,3). The cancer stem cell hypothesis (4,5) allows us to explain the heterogeneity and resistance to anticancer treatment of a malignant tumor, including head and neck cancers. Numerous studies about the detection and control of this cell have been reported, but there are no clinically approved treatments to date (6).
Cyclooxygenase (COX) is an enzyme catalyzing the conversion of arachidonic acid to prostaglandins (PGs). COX-1 is constitutively expressed in various tissues throughout the body, whereas COX-2 expression is induced in sites of inflammation, including cancer and premalignant lesions. COX-2 expression is elevated in HNSCCs (7–9), and seems to have a negative correlation with survival (10–13). This is explained by multiple reasons, including promotion in tumor progression (12), proliferation (14), angiogenesis (10), and lymph node metastasis (15). We have previously reported that COX-2 expression is related to lymph node metastasis in oropharyngeal carcinomas (16) and that COX-2 inhibition can have an anti-metastatic effect through the suppression of epithelial to mesenchymal transition (EMT) in pharyngeal carcinoma (17). Furthermore, of the four downstream receptors of PG E2 (PGE2), which are EP1-4, we have recently reported that PG E receptor 2 (EP2) plays an efficient role in EMT in hypopharyngeal carcinoma (18). COX-2 expression is also related to resistance to anticancer therapies, such as chemotherapy (13,19–21) and radiotherapy (22) in other cancer sites. Recently, the interaction of the COX2/PGE2/EP axis and cancer stemness (23–26) has been reported, but little has been studied in HNSCCs. Moreover, no studies have reported the association of COX-2 expression and cancer stemness, especially chemo-sensitivity in HNSCCs.
Here, we aimed to investigate the effect of COX-2 on cancer stem cell (CSC) property and to reveal its effect on chemo-resistance by in vitro and clinicopathological assays in HNSCCs.
Materials and methods
Cell lines
Human pharyngeal carcinoma cell lines (FaDu and Detroit 562) were purchased from American Type Culture Collection (ATCC).
Cell culture
Cell lines were cultured in Eagle's Minimum Essential Medium (Sigma-Aldrich; Merck KGaA) supplemented with 10% fetal bovine serum (FBS, US origin) and 1% penicillin-streptomycin (solution stabilized, Sigma-Aldrich; Merck KGaA), and incubated in a humidified incubator (37°C, 5% carbon dioxide). Cells were subcultured continuously according to the ATCC protocol.
Drugs and reagents
The selective COX-2 inhibitor (celecoxib), selective EP2 antagonist (PF-04418948), and docetaxel (DTX) were purchased from Toronto Research Chemicals, Cayman Chemical, and Sigma-Aldrich (Merck KGaA), respectively. Dimethyl sulfoxide (DMSO) was used as a solvent and vehicle control.
Reverse transcription-quantitative PCR
The RNeasy mini kit (Qiagen) was used for RNA extraction, and the SuperScript™ III First-Strand Synthesis System (Invitrogen; Thermo Fisher Scientific, Inc.) for complementary DNA synthesis. Quantitative real-time polymerase chain reaction (PCR) was performed using the 7500 Fast Real-Time PCR system instrument and software (Applied Biosystems; Thermo Fisher Scientific, Inc.) following the manufacturer's protocol. Primers and probes were purchased from Applied Biosystems (TaqMan® Gene Expression Assays) with the following IDs: β-actin (actin beta, Hs01060665_g1), OCT3/4 (POU class 5 homeobox 1, Hs04260367_gH), NANOG (nanog homeobox, Hs04399610_g1), SOX-2 (SRY-box 2, Hs01053049_s1), ALDH1A1 (aldehyde dehydrogenase 1 family member A1, Hs00946916_m1), CD44 (CD44 molecule, Hs01075861_m1), COX-2 (prostaglandin-endoperoxide synthase 2, Hs00153133_m1), EP1 (prostaglandin E receptor 1, Hs00168752_m1), EP2 (prostaglandin E receptor 2, Hs00168754_m1), EP3 (prostaglandin E receptor 3, Hs00168755_m1), and EP4 (prostaglandin E receptor 4, Hs00168761_m1). The PCR amplification conditions were as follows: 20 sec at 95°C followed by 40 cycles of 3-sec denaturation at 95°C and 30 sec annealing at 60°C. We quantified the relative gene expression levels using the standard curve method, and compared the levels to β-actin, which was used as an endogenous control.
COX-2 inhibition and EP2 inhibition for messenger RNA extraction
Cells were seeded at a density of 200/µl into a six-well dish and incubated in a medium containing 10% FBS. Twenty-four hours later, the cells were treated with celecoxib (5 µM) or PF-04418948 (10 µM). These concentrations of the reagents were found to be optimal with no toxic effect on cell viability up to at least 48 h in our preliminary experiments. Treatment with DMSO was used as controls. Cells were collected 12 h later and used for total RNA extraction. The experiment in each condition was performed at least three times to assess consistency.
COX-2 knockdown
Cells were seeded at a density of 10,000/ml into a six-well dish in a serum-reduced medium (Opti-MEM, Thermo Fisher Scientific, Inc.). Twenty-four hours later, the medium was changed and siRNA for the COX-2 gene PTGS2 (Silencer® Pre-designed siRNA, Life Technologies) and negative control siRNA (Silencer® Select Negative Control siRNA, Life Technologies) were added at a density of 20 pmol with lipofectamine (Thermo Fisher Scientific, Inc.). Twenty-four hours later, the cells were scraped and collected for analysis.
Cell proliferation assay
Cells were seeded to a 96-well dish at a density of 1,000 cells/200 µl/well, and incubated in a medium containing 10% FBS overnight. The medium was changed the next day and treated with the following drugs: i) multiple density of DTX between 0.005 nM and 50 µM+DMSO; ii) multiple density of DTX between 0.005 nM and 50 µM+celecoxib (5 µM); and iii) multiple density of DTX between 0.005 nM and 50 µM+PF-04418948 (10 µM). Cell viability was checked 72 h later with the CellTiter 96® AQueous One Solution Cell Proliferation Assay (Promega), as per the manufacturer's instruction. Briefly, 20 µl of the reagent containing the tetrazolium compound and phenazine ethosulfate were added to each well, and the plate was incubated for 4 h at 37°C. Viable cells were quantified by measuring the optical density values of absorbance at 490 nm using a microplate reader. The experiment was performed three times and run in triplicate each time.
Immunofluorescence staining
For immunofluorescence staining of Ki-67, FaDu and Detroit 562 cells were seeded in slide chambers (Thermo Fisher Scientific, Inc.) and treated with DMSO alone, 10 µM of celecoxib, 50 nM of DTx, and 10 µM of celecoxib + 50 nM of DTX for 24 h. After washing the cells extensively with phosphate-buffered saline (PBS), the cells were fixed with 4% paraformaldehyde fixative for 15 min. After washing with PBS, the cells were incubated with anti-Ki-67 mouse antibody (ab245113, Abcam) at 1:100 overnight. Goat anti-Mouse IgG Alexa Fluor (Thermo Fisher Scientific, Inc.) was used for secondary antibody, and Hoechst 33258 was used for nuclear staining. Ki-67 positive cells were counted from four randomly chosen areas at 10× magnification.
Sphere formation assay
Cells were seeded with a serum-free medium into an ultra-low attachment dish (Corning) at a density of 500 cells/ml. The medium was supplemented with 20 ng/ml of the human basic fibroblast growth factor (Sigma-Aldrich, catalog no. F0291) and 20 ng/ml of the human epidermal growth factor (Sigma-Aldrich, catalog no. E5036). Celecoxib was added at two different densities; 1 and 10 nM, and DMSO was used for control. Cells were cultured for 7 days, and the number of spheres per well was counted manually on day 7.
Patients and tissue specimens
In order to assess the pathological effect of chemotherapy, patients who were diagnosed as hypopharyngeal carcinoma after biopsy and received surgical resection of the tumor after induction chemotherapy at Keio University Hospital between April 1, 2010 and March 31, 2015 were analyzed. Tissue samples from the hospital tissue bank and their medical records were obtained retrospectively. The protocols for the use of the clinical materials were approved by the Institutional Ethics Review Board of the Ethics Committee of Keio University School of Medicine (reference nos. 2010-013 and 2010-013-2). Informed consent was obtained in the form of opt-out on the web-site and by information in the hospital. All procedures for clinical tissues were performed in accordance with the principles of the 1964 Helsinki Declaration and its later amendments.
Pathological judgement was used because it is difficult to accurately measure the size of hypopharyngeal lesions under radiographic evaluations and pathological assessment is more direct. Pretreatment biopsy specimens and surgically resected tumor specimens from 12 pathologically diagnosed hypopharyngeal carcinoma patients who received induction chemotherapy (DTX 60 mg/m2, cisplatin 60 mg/m2, fluorouracil 700 mg/m2) after biopsy were analyzed. All patients had no history of other head and neck carcinoma and had not received prior treatment, including chemotherapy and radiotherapy. All specimens were fixed with 10% formalin, embedded with paraffin, and sliced at 5 µm each. The pathological effect of induction chemotherapy was evaluated by one trained head and neck pathologist, who was blinded to the data concerning COX-2 expression. The effects were graded according to the following grading system: Grade 0, no effect; grade 1, slight effect; grade 2, moderate effect; and grade 3, significant effect (Fig. 1A) (19). Univariate analyses of the pathological effect of chemotherapy and age, the T stage, N stage, clinical stage, and COX-2 expression were performed.
Immunohistochemistry
Immunostainings were performed with the automated immunostaining machine Ventana Discovery XT (Roche Diagnostics/Ventana Medical Systems), as per the manufacturer's instructions and using the ultraView Universal DAB Detection Kit (Roche/Ventana). The COX-2 primary antibody (catalog number 760–4254, product code 518101862) was purchased from Roche Diagnostics K.K. The ratio of COX-2 positive tumor cells was calculated by using the computational software Tissue Studio® (Definiens, Inc.). For each slide, the region of interest (ROI) was set for the whole tumor or for biopsy specimens for the tumorous area. A hematoxylin threshold of 0.1, typical nucleus size of 60 µm2, maximum cell growth of 10, and classification of 0.1 were set, and the expression of COX-2 was automatically calculated by the number of COX-2-positive tumor cells divided by the number of total tumor cells.
Statistical analysis
The data repeatedly obtained in the in vitro assays are presented as the mean ± standard deviation of three or more independent experiments. GraphPad Prism 8.3.0 (GraphPad Software, Inc.) was used to perform the statistical analysis. Fisher's exact test was used to analyze the association between patient clinicopathological characteristics and COX-2 expression. The difference in COX-2 expression by pathological response was analyzed using the Wilcoxon rank-sum test. Results of the cell proliferation assay were analyzed using non-linear regression analysis. Student's t-test was used for mRNA expression comparison. Sphere formation assay was analyzed using one-way ANOVA followed by Dunnett's multiple comparison test. P<0.05 was considered to indicate a statistically significant difference.
Results
COX-2 expression is significantly associated with the pathological effect of induction chemotherapy
Pretreatment biopsy specimens and surgical specimens after induction chemotherapy were obtained from 12 patients with hypopharyngeal carcinoma. Patients' characteristics are summarized in Table I. The COX-2 expression varied from 6.6 to 91%, with a mean of 36%. In this study, in order to classify COX-2 expression, we used this mean as a cutoff, and divided the group into two; above mean, and below mean. COX-2 expression was classified into two groups, as its positive cutoff rate was 35%. There was a negative correlation between COX-2 expression and the pathological effect of induction chemotherapy (Table II and Fig. 1B), showing that tumors with high pretreatment COX-2 expression tended to be resistant to induction chemotherapy. According to univariate analysis, the relationship between the pathological effect of chemotherapy and COX-2 expression was statistically significant (P=0.015) (Table II). Median pretreatment COX-2 expression in patients with no pathological response to chemotherapy was 44%, and that in patients who showed a response was 22%; this difference was statistically significant (P=0.03). Representative cases are shown in Fig. 2.
Table II.Association between pathological effect of chemotherapy and clinicopathological characteristics. |
COX-2 inhibitor improves chemo-sensitivity to docetaxel in head and neck squamous cell carcinoma cell lines
The result of the cell viability assay with the addition of celecoxib to multiple densities of DTX is shown in Fig. 3. The IC50 decreased significantly with the addition of celecoxib in FaDu (LogIC50 DTX versus [vs.] DTX+celecoxib: −8.542 vs. 09.111; 95% CI of LogIC50 DTX vs. DTX+celecoxib: −8.804 to −8.291 vs. −9.480 to −8.817). The addition of celecoxib also decreased the IC50 of Detroit 562, but this was not statistically significant (LogIC50 DTX and DTX+celecoxib: −8.644 and −8.881, respectively; 95% CI of LogIC50 DTX and DTX+celecoxib: −9.077 to −8.448 and −9.309 to −8.847, respectively) (Fig. 3A and B).
EP2 inhibitor tends to improve chemo-sensitivity to docetaxel in head and neck squamous cell carcinoma cell lines
The addition of the selective EP2 antagonist (PF-04418948) tended to improve chemo-sensitivity; however, it was not statistically significant in FaDu (LogIC50 DTX and DTX+PF-04418948: −7.793 and −8.422, respectively; 95% CI of LogIC50 DTX and DTX+PF-04418948: −8.475 to −6.925 and −9.017 to −7.772, respectively) nor Detroit 562 (LogIC50 DTX and DTX+PF-04418948: −8.320 and −8.470, respectively; 95% CI of LogIC50 DTX and DTX+PF-04418948: −8.688 to −7.959 and −8.829 to −8.098, respectively) (Fig. 3C and D).
COX-2 inhibitor suppresses Ki-67 expression in head and neck squamous cell carcinoma cell lines
From immunofluorescence staining, Ki-67 expression significantly decreased in Detroit 562 after celecoxib treatment and combined treatment of DTX and celecoxib. In FaDu, celecoxib alone did not show significant difference, whereas combination treatment showed significant suppression of Ki-67 expression. (Fig. 4)
Baseline messenger RNA expression of prostaglandin E2 receptor genes vary between cell lines
Baseline messenger RNA (mRNA) expression of PGE2 receptors is shown in Fig. 5. Expression of EP1 was not detected in either cell lines. Relative quantification of PGE2 receptors against β-actin varied between the two cell lines. Detroit 562 showed a higher degree of expression in all receptor genes compared to FaDu, significantly in EP3 and EP4.
COX-2 inhibitors reduce messenger RNA expression of stemness-related genes
COX-2 inhibition by celecoxib led to downregulation of expressions in OCT3/4, NANOG, and SOX-2 in both cell lines (Fig. 6A and B). There was no significant change in ALDH1A1 expression throughout the inhibition assay. COX-2 knockdown cells also showed a similar alteration compared to celecoxib treatment, decreasing the expressions of OCT3/4, NANOG, and SOX-2 (Fig. 6C and D). PTGS2 was significantly decreased in both cell lines compared to negative control, confirming that transfection successfully knocked down COX-2. EP2 inhibition showed a similar but slightly different alteration, decreasing the expressions of OCT3/4, NANOG, SOX-2 and ALDH1A1 in both cell lines, and CD44 in Detroit 562 (Fig. 6E and F).
COX-2 inhibitors suppress sphere formation in head and neck squamous cell carcinoma cell lines
Cells cultured with celecoxib established smaller spheres, whereas cells cultured in DMSO developed larger spheres in both cell lines (Fig. 7A and B). Celecoxib of 1 and 10 nM showed a significant suppression in the number of spheres established compared with DMSO (Fig. 7C), and this effect was observed in a concentration dependent manner. EP2 inhibitors did not show any positive effect (data not shown).
Discussion
From our clinicopathological assays, patients with hypopharyngeal carcinoma who had high COX-2 expression showed tolerance to the following induction chemotherapy, indicating that COX-2 expression is related to chemotherapeutic resistance. Similar studies using pretreatment biopsy specimens to predict chemo-sensitivity have been reported in esophageal carcinoma (27) and nasopharyngeal carcinoma (19), but there are no reports of hypopharyngeal squamous cell carcinomas. Our result was compatible with findings of these previous reports showing that tumors with high COX-2 expression pretreatment were resistant to the following chemotherapy.
Furthermore, we found that COX-2 inhibition improves chemo-sensitivity in HNSCCs in vitro. Using pharyngeal carcinoma cell lines, the chemo-sensitivity to DTX improved with the addition of celecoxib. Immunofluorescence analysis revealed that combination treatment of DTX and celecoxib suppresses Ki-67 in a significant manner. Celecoxib itself showed effect on Ki-67 expression in Detroit 562, but considering the low dose of celecoxib we used and the fact that addition of celecoxib to DTX significantly decreased Ki-67 in both cell lines regardless of the effect of single celecoxib treatment, celecoxib seems to have anti-cancer effects other than proliferation suppression. Previous studies have shown that celecoxib enhances anti-tumor activity by promoting apoptosis (28–30) and inhibiting DNA repair (22,31). Besides these pathways, controlling cancer stemness can also be one reason for improvement of chemo-resistance (32–34).
COX-2 and its metabolic product PGE2 play an important role in maintaining cancer stemness and activating repopulation (35). In this study, celecoxib downregulated cancer stem cell-related genes such as OCT3/4, NANOG, and SOX-2 in pharyngeal carcinoma cell lines, and led to the inhibition of sphere formation, one of the characteristics of cancer stem cells. Similarly, knockdown of PTGS2 led to downregulation of OCT3/4, NANOG, and SOX-2. Previous reports also demonstrated that COX-2 was co-expressed with CSC markers including SOX-2, OCT3/4, and ALDH (36), and upregulation of COX-2 was associated with increased chemo-resistance in CSC-like side population cells (37). The mechanism regulating cancer stemness by COX-2 has not been fully elucidated, but interaction between the COX2/PGE2/EP axis and cancer stemness by signaling molecules, such as Wnt (23–25) and STAT3 (26), are assumed to control this effect. All of these documented data suggest that COX-2 expression is related to CSC, and can play a role in chemo-resistance. Therefore, COX-2 inhibition can be an attractive target for HNSCC, especially for combination use with chemotherapy.
Despite the multiple promising results of COX-2 inhibition in vivo and in vitro, clinical trials have failed to prove an absolute positive effect of celecoxib. A meta-analysis including malignancies such as lung cancers, prostate cancers, breast cancers, ovarian cancers, and colorectal cancers, concluded that the addition of celecoxib increased the overall response rate in non-small-cell lung cancer (NSCLC), but had no effect on other malignancies (38). However, a phase III randomized trial of advanced NSCLC showed no benefit of celecoxib on survival (39). As for head and neck carcinomas, a phase 2–3 study for advanced nasopharyngeal carcinoma showed improvement in 2-year local control but none in survival with the addition of low-dose celecoxib to chemotherapy (40).
These inconsistent results and the fact that COX-2 expression in tumor or stromal cells has no impact on the effect of celecoxib (39,41) may be explained by the various expression patterns of the downstream PGE2 receptors, which vary between organs and cell lines (42). Multiple HNSCC cell lines have been reported with wide variation of EP expression patterns (14,43). In our study, the mRNA expression level of EP1-4 genes varied between the two cell lines (Fig. 4). EP1 was absent in both cell lines, and FaDu showed a lower expression in the other receptors (EP2, 3, and 4) than Detroit 562, which may be the reason for the different response to celecoxib and the EP2 inhibitor.
The four types of PGE2 receptors, EP1-4, induce various signals, and each play different roles in malignancy (42,44). The expression patterns, therefore, can affect the molecular functions of COX-2 inhibitors. EP1 shows a tumor-promoting role by activating pathways related to cell migration and invasion in various organs (45,46), but may have an anti-tumoral effect in breast cancer (47). The role of EP3 in malignancy is unclear but seems to promote cancers (48) including HNSCCs (14,43). EP2 and EP4 receptors have similar responses, and are both linked to Gs proteins and activating adenylate cyclase, leading to increased cAMP levels. EP2 receptors induce angiogenesis (49) and suppress anti-tumor immune response (50). We have also previously reported that activation of EP2 receptors can promote EMT in HNSCCs (18).
Based on our present study, EP2 pathway activation may be related with cancer stemness, and targeting it can be useful in effectively improving chemo-sensitivity to DTX. Although EP2 inhibition improved chemo-sensitivity and downregulated cancer stemness-related genes, we could not show suppression in the sphere formation assay as celecoxib did. This may be explained by the relatively short half-life time of PF-04418948 compared to celecoxib (51). Furthermore, we have performed same assays using an EP4 antagonist, and could not determine any positive effect concerning control of cancer stemness (data not shown). As celecoxib inhibits all PGE2 receptors, combination blocking of specific receptors (such as simultaneous inhibition of EP2 and EP4) may be effective and needs to be further elucidated. Although celecoxib failed to show an absolute positive effect in clinical trials and long-term use of COX-2 inhibitors can lead to elevated cardiovascular risk (52), further detailed analysis of PGE2 receptor expression and downstream signaling may provide a possible therapeutic target.
There are limitations to our study. First of all, the clinical sample size was relatively small. This was due to the limited number of hypopharyngeal carcinoma patients who received surgery after induction chemotherapy. Second, the alteration of cancer stemness related genes were analyzed by PCR, and whether proteins of stemness markers were affected, needs further analysis. Last, although we were able to show that COX-2 inhibition improves chemosensitivity, and that COX-2 inhibition leads to suppression of cancer stemness, the precise mechanism underlying these two phenomenon needs further investigation. Whether COX-2 inhibition removed chemoresistance by directly blocking cancer stemness or by a different pathway remains unknown.
In conclusion, COX-2 inhibition can improve chemo-resistance to DTX in hypopharyngeal carcinomas through the inhibition of cancer stemness. Downstream PGE2 receptor expression seems to be a key factor to assess the effect of celecoxib and further study is awaited.
Acknowledgements
The authors would like to thank Dr Shintarou Nakamura and Dr Makoto Hosoya of Keio University School of Medicine (Tokyo, Japan) for technical assistance. The abstract was presented at the 2018 Annual Meeting of the American Association for Cancer Research April 14–18 in Chicago (IL, USA) and published as abstract no. 914 in Cancer Res 2018;78 (13 Suppl).
Funding
The present study was funded by a grant from the Japan Society for the Promotion of Science KAKENHI Grant-in-Aid for Young Scientists (grant no. 16K20275).
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Authors' contributions
SS collected all the data, conducted data interpretation and analysis, and wrote the manuscript. MS, YW, FI, YuI and NN were involved in the acquisition and analysis of the data. KK was the pathologist who evaluated the pathological effect of chemotherapy. HO designed the study and performed proof reading of the article. YoI and KO were involved in designing the experiments and troubleshooting. SS and HO confirmed the authenticity of all the raw data. All authors read and approved the final manuscript.
Ethics approval and consent to participate
The protocols for the use of the clinical materials were approved by the Institutional Ethics Review Board of the Ethics Committee of Keio University School of Medicine (reference nos. 2010-013 and 2010-013-2). Informed consent was obtained in the form of opt-out on the website and by information in the hospital. All procedures for clinical tissues were performed in accordance with the principles of the 1964 Helsinki Declaration and its later amendments.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
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