Abstract
CD44 serves as a marker of cancer stem cells. Alternative splicing generates the CD44v9 isoform. Cancer stem cells are associated with the epithelial‐mesenchymal transition in cancers, although little is known about their role in esophageal squamous cell carcinoma. Here, we aimed to clarify the relationship between CD44v9 expression, the epithelial‐mesenchymal transition, and clinicopathological features of patients with esophageal squamous cell carcinoma. CD44v9 levels were higher at the tumor invasive front compared with the center of the tumor and higher in metastatic lymph nodes compared with primary tumors. High levels of CD44v9 at the tumor invasive front were significantly associated with deeper tumor invasion and shorter overall survival and recurrence‐free survival. The expression of CD44v9 was increased by treatment with transforming growth factor‐β, which induced esophageal squamous cell carcinoma cells to undergo the epithelial‐mesenchymal transition. Moreover, inhibition of CD44v9 expression decreased the migration and invasiveness of esophageal squamous cell carcinoma cells. These results indicate that the expression of CD44v9 at the tumor invasive front induced by stemness was strongly associated with the epithelial‐mesenchymal transition and poor prognosis of patients with esophageal squamous cell carcinoma. CD44v9 may therefore serve as a novel prognostic biomarker and a potential therapeutic target for esophageal squamous cell carcinoma.
Keywords: CD44v9 antigen, epithelial‐mesenchymal transition, esophageal squamous cell carcinoma, neoplastic stem cells, patient outcomes
1. INTRODUCTION
Esophageal cancer (EC) is the eighth most common cancer worldwide and the sixth most common cause of death from cancer.1 Although recent advances in multidisciplinary therapies including chemotherapy, radiotherapy, and surgery have improved the clinical outcomes of patients,2, 3 EC remains a challenging malignancy because of its aggressive clinicopathological features. Although EC comprises several histologic subtypes, with esophageal squamous cell carcinoma (ESCC) being the most common, accounting for 96% of EC cases in Japan.4, 5 The rapid spread of ESCC explains in part why more than half of patients with ESCC have unresectable tumors or radiologically visible metastases at the time of diagnosis.6 Therefore, it is crucial to identify the mechanisms of acquisition of malignant traits in ESCC to help establish optimal treatment strategies.
Cancer stem cells (CSCs), which exhibit the principal properties of self‐renewal, clonal tumor initiation, and clonal long‐term repopulation potential, are present in EC as well as gastric and colorectal cancers.7, 8 CD44 is a transmembrane hyaluronan receptor and a major cell surface marker of CSCs.9, 10 Numerous CD44 isoforms (eg, CD44v3, CD44v6, and CD44v8‐10) are generated through alternative splicing.11 Interaction of CD44 variant 9 (CD44v9) with the glutamate‐cystine transporter increases intracellular levels of the antioxidant glutathione, which protects against reactive oxidant species (ROS). CD44v9‐induced glutathione is associated with resistance to chemotherapy and radiotherapy and increased tumor recurrence and metastasis.12, 13 To our knowledge, there is no previous report on the clinicopathological and prognostic significance of CD44v9 expression in patients with ESCC.
Epithelial‐mesenchymal transition (EMT), which involves conversion of epithelial cells to the mesenchymal phenotype,14 enhances the migration and invasiveness of tumor cells. EMT is mediated through signaling molecules and transcription factors such as transforming growth factor‐β (TGF‐β), hepatocyte growth factor (HGF), Zinc finger E‐box‐binding homeobox 1 (ZEB1), Snail, and Twist.15 We previously reported an association between EMT and poor prognosis of patients with ESCC;16, 17 however, the mechanism of induction of EMT and its effect on ESCCs is insufficiently characterized. Cancer cells that undergo EMT are frequently located at the tumor invasive front (TIF).18 For example, the transcription factor ZEB1 and the adhesion molecule E‐cadherin are expressed at increased and decreased levels, respectively, at the TIF.19 Therefore, investigating EMT at the TIF will help clarify its role in tumor cell invasiveness and metastatic traits.
Although the molecular mechanism remains unclear, there is an association between EMT and CSCs. For example, the expression of CSC markers such as CD44 is influenced by transcription factors associated with EMT,20, 21, 22 and induction of EMT leads to increased expression of stem cell markers by mammary epithelial cells.22 Furthermore, transcription factors associated with EMT regulate the acquisition of CSC properties and prevent tumor senescence.22, 23 We hypothesized that CD44v9 acts at the TIF through an association with EMT in ESCC. In this study, we aimed to clarify the relationships between CD44v9 expression, EMT, and clinicopathological features of patients with ESCC. In addition, using an ESCC cell line we showed that CD44v9 expression at the TIF was significantly associated with EMT and the malignant phenotype of ESCC.
2. MATERIALS AND METHODS
2.1. Patients
Among 315 patients who underwent esophageal resection at the Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University between January 2002 and December 2012, 133 ESCC patients who underwent curative resection without preoperative therapies were included in the present study (Figure 1). In this study, we focused on CD44v9 expression at the TIF. We therefore excluded patients who underwent preoperative therapy because such therapies might affect intrinsic morphology at the TIF, resulting in inappropriate evaluation. The clinicopathological features of these patients included age at surgery, sex, smoking status, tumor differentiation, pathological depth of tumor invasion, pathological lymph node metastasis, and lymphovascular invasion. The research conforms to the provisions of the Declaration of Helsinki.
2.2. Immunohistochemistry
Immunohistochemistry (IHC) was performed using 4‐µm‐thick paraffin‐embedded tissue sections. Paraffin‐embedded blocks containing the site of the deepest tumor invasion in primary tumors (PTs) and all metastatic lymph nodes (mLNs) were chosen. The sections were deparaffinized in xylene and dehydrated in an ethanol series. For antigen retrieval, specimens in citrate buffer (pH 6.0) were heated in an autoclave at 105°C for 10 minutes. The sections were incubated for 30 minutes in 0.3% hydrogen peroxidase in methanol to deactivate endogenous peroxidases. After blocking the nonspecific binding of antibodies, the specimens were incubated with a rat anti‐CD44v9 monoclonal antibody (LKG‐M001, 1:5000 dilution; COSMO BIO CO LTD, Tokyo, Japan) and a rabbit anti‐E‐cadherin monoclonal antibody (24E10, 1:1000 dilution; Cell Signaling Technology Japan, Tokyo, Japan) at 4°C overnight. Immune complexes were detected using a DAKO EnVision Detection System (Dako, Glostrup, Denmark). The sections were reacted with 3,3′‐diaminobenzidine, counterstained with hematoxylin, and mounted.
2.3. Evaluation of IHC data
The samples were divided into a non‐EMT group and an EMT group. We defined the EMT group as tumor cells with decreased expression of E‐cadherin and morphological features of EMT at the TIF, as described previously.16 Decreased expression of E‐cadherin was defined as tumor cells at the TIF that exhibited undetectable or weak E‐cadherin staining compared with normal epithelial cells. We evaluated tumor budding at the TIF, which was defined as the presence of single isolated tumor cells or small clusters of cells in the stroma.24 EMT morphology was defined as five or more tumor buds at the TIF observed in high‐power fields (HPFs). This cut‐off value has been used to define positive budding in colon cancer and ESCC.24, 25, 26
Carcinoma cells that expressed membrane‐associated CD44v9 were defined as CD44v9‐positive, and the proportion of tumor cells that expressed CD44v9 was used to define CD44v9 scores as follows: 0 (absent), 1+ (<5%), 2+ (5%‐75%), and 3+ (>75%), as described previously.27 The intensity of CD44v9 expression was not used for evaluation. To compare CD44v9 expression at each tumor site, the proportion of CD44v9‐positive cells at the center or TIF of a PT was evaluated using the CD44v9 score of three HPFs. We designated a sample as CD44v9‐positive when the CD44v9 score was 3+ at the TIF, as previously described.27 To compare CD44v9 expression levels in PTs and mLNs, we used the CD44v9 score to evaluate the proportion of CD44v9‐positive cells in whole tumor sections of PTs and mLNs. When multiple mLNs were present, the LN with the highest CD44v9 expression level was used for evaluation.
2.4. Cell culture
Human ESCC cell lines (TE1, 3, 5, 6, 8, 11, 12, 13) were cultured in SILAC RPMI‐1640 (Thermo Fisher Scientific, Waltham, MA, USA), supplemented with 10% fetal bovine serum (FBS) (Biological Industries, Cromwell, CT, USA), at 37°C in an atmosphere containing 5% CO2.
A CD44v9‐specific siRNA28 was synthesized by Thermo Fisher Scientific. Among cell lines tested the expression of CD44v9 was highest in TE6 cells, which were therefore selected for further study. TE6 cells were seeded in a 6‐well plate (0.25 × 106 cells per well) and reverse transfected with 30 nmol of CD44v9 siRNA in the presence of Lipofectamine RNAimax reagent (Thermo Fisher Scientific) for 72 hour, according to the procedure provided by the manufacturer. A duplex Stealth RNAi (siCONT) was used as a nontargeting siRNA.
To induce EMT, TE6 cells were seeded in a 6‐well plate (0.25 × 106 cells per well) and treated with TGF‐β1 (final concentration of 20 ng/mL) (Invitrogen, Carlsbad, CA, USA) for 72 hour.
2.5. Western blot analysis
Proteins were extracted from cells using RIPA Buffer (Nacalai Tesque, Kyoto, Japan). The lysate was centrifuged at 15 000 g for 5 minutes at 4°C. Western blotting was performed using iBind Western Systems (Thermo Fisher Scientific) according to the procedure provided by the manufacturer. Immune complexes were visualized using an Amersham Imager600 (GE Healthcare, Little Chalfont, UK). The primary antibodies used were as follows: anti‐CD44v9 (LKG‐M001, 1:1000 dilution; COSMO BIO LTD), glyceraldehyde 3‐phosphate dehydrogenase (GAPDH) (GTX100118, 1:1000 dilution; GeneTex Inc, Irvine, CA, USA), anti‐E‐cadherin (24E10, 1:1000 dilution; Cell Signaling Technology Japan, Tokyo, Japan), and anti‐vimentin (D21H3, 1:1000 dilution; Cell Signaling Technology Japan).
2.6. Cell proliferation and intracellular ROS level assays
At 48 hour after siCD44v9 transfection, TGF‐β treatment, or combined siCD44v9 transfection and TGF‐β treatment, TE6 cells were seeded at 5000 cells/well in 96‐well plates and incubated at 37°C in an atmosphere containing 5% CO2. At the time of plating (0 hour) and 48 hour after incubation, cell growth rates and intracellular ROS levels were assessed using a CellTiter‐Glo Luminescent Cell Viability Assay kit (Promega, Madison, WI, USA) and ROS‐Glo H2O2 assay kit (Promega) according to the manufacturer's instructions. The 48‐hour cell growth rates were normalized and expressed as fold change in cell viability from 0 hour to 48 hour. The intracellular ROS levels were normalized to cell viability.
2.7. Cell migration and invasion assays
Cell migration and invasion assays were performed using Transwell insert chambers (Corning, New York, NY, USA) according to the manufacturer's instructions with minor modifications. TE6 cells (2.0 × 106 per well) were transferred to serum‐free RPMI‐1640 in the upper chamber 48 hour after siRNA transfection, TGF‐β treatment, or combined treatment. RPMI‐1640 containing 20% FBS was added to the lower chamber as a chemoattractant. Following incubation for 48 hour at 37°C in an atmosphere containing 5% CO2, cells on the upper surface of the membrane were removed using a cotton swab, and migratory cells on the bottom of the membrane were stained using the Diff‐Quik protocol (Sysmex Corporation, Kobe, Japan). Migratory cells were observed using a light microscope. Cells were counted in three random fields (100× magnification), and the data are expressed as the average number of cells per field of view. All assays were performed three times. The invasion assay employed identical methods, except that the cells were placed in the upper chamber containing a Matrigel‐coated membrane (BD Biosciences, Franklin Lakes, NJ, USA).
2.8. Statistical analysis
JMP software (ver. 13.0, SAS Institute Inc, Cary, NC, USA) was used to perform statistical analyses. The associations between CD44v9 expression and clinicopathological factors were analyzed using the chi‐square test. Overall survival (OS) was defined from the day of surgery to the day of death or the most recent follow‐up visit, and recurrence‐free survival (RFS) was defined from the day of surgery to the day of death, tumor recurrence, or the most recent follow‐up visit. Kaplan‐Meier curves and univariate analysis were used to estimate the distributions of OS and RFS, and statistical significance was determined using the log‐rank test. After univariate analysis of the factors affecting OS and RFS, only significant variables (P < 0.05) were incorporated in multivariate analysis using the Cox proportional hazard model. CD44v9 expression in the PT versus mLNs was compared using the paired t test. A value of P < 0.05 was considered significant.
3. RESULTS
3.1. CD44v9 expression in ESCC
Based on morphological features at the TIF (Figure S1A and B) and the expression of E‐cadherin (Figure S1C‐E), 40 patients (30%) were assigned to the EMT group. We used the CD44v9 score to evaluate differences in CD44v9 expression according to the site within the tumor (Figure 2A). Figure 2B and C show representative images of CD44v9 expression at the TIF of the EMT group and non‐EMT group, respectively. As shown in Table [Link], [Link], 19 (14%) and 59 (44%) samples were scored 3+ at the center of the tumor and the TIF, respectively (P < 0.001). CD44v9 expression at the TIF was significantly higher in the EMT group compared with the non‐EMT group (P < 0.001) (Table S2).
3.2. Difference in CD44v9 expression between the PT and mLNs
Figure 2A and D show representative images of CD44v9 expression of the PT and mLNs of one patient. Among 133 patients, mLNs were observed in 60 (45%) cases (Table S3), and the CD44v9 score was significantly higher in mLNs compared with the PTs in these 60 patients (P = 0.0017).
3.3. Clinicopathological features of patients
Table 1 shows the association between CD44v9 expression at the TIF and the characteristics of patients included in this study. Among 133 patients, 59 (44%) were defined as CD44v9‐positive. CD44v9 expression at the TIF was associated with deeper tumor invasion (P = 0.029) and EMT (P < 0.001). Other factors were not significantly associated.
Table 1.
Factors | CD44v9 | P value | |
---|---|---|---|
Negative n = 74 (%) | Positive n = 59 (%) | ||
Age (y) | |||
<70 | 54 (73) | 46 (78) | 0.51 |
≥70 | 20 (27) | 13 (22) | |
Sex | |||
Female | 7 (9) | 6 (10) | 0.89 |
Male | 67 (91) | 53 (90) | |
Smoking status | |||
Never‐smoker | 23 (31) | 14 (24) | 0.14 |
Smoker | 51 (69) | 43 (73) | |
Unknown | 0 (0) | 2 (3) | |
Differentiation of SCC | |||
Well/moderately | 58 (78) | 52 (88) | 0.13 |
Poorly | 16 (22) | 7 (12) | |
Pathological depth of tumor invasion | |||
<T3 | 49 (66) | 28 (47) | 0.029 |
≥T3 | 25 (34) | 31 (53) | |
Pathological lymph node metastasis | |||
Negative | 43 (58) | 30 (51) | 0.40 |
Positive | 31 (42) | 29 (49) | |
Lymphatic invasion | |||
Negative | 44 (59) | 31 (53) | 0.42 |
Positive | 30 (41) | 28 (47) | |
Vascular invasion | |||
Negative | 56 (76) | 40 (68) | 0.31 |
Positive | 18 (24) | 19 (32) | |
EMT | |||
Negative | 67 (91) | 26 (44) | <0.001 |
Positive | 7 (9) | 33 (56) |
TIF, tumor invasive front; ESCC, esophageal squamous cell carcinoma; EMT, epithelial‐mesenchymal transition.
3.4. CD44v9 expression at the TIF and patient outcomes
To evaluate the prognostic significance of CD44v9 expression at the TIF, we examined the association between CD44v9 expression at the TIF and survival. CD44v9‐positive patients experienced significantly lower 5 year OS (hazard ratio [HR] 1.984; P = 0.0043) and RFS (HR 1.637; P = 0.032) rates compared with those without CD44v9 expression (Figure 3). Multivariate analyses revealed that lymphatic invasion and CD44v9 expression at the TIF were independent prognostic factors of OS (P = 0.0068 and P = 0.0079, respectively) (Table 2). The depth of tumor invasion, lymphatic invasion, and CD44v9 expression at the TIF were independent prognostic factors of RFS (P = 0.0024, P < 0.001, and P = 0.0212, respectively) (Table 2).
Table 2.
Factors | OS | RFS | |||||||
---|---|---|---|---|---|---|---|---|---|
Univariate analysis | Multivariate analysis | Univariate analysis | Multivariate analysis | ||||||
HR (95%CI) | P value | HR (95%CI) | P value | HR (95%CI) | P value | HR (95%CI) | P value | ||
Age (y) | ≧70/<70 | 1.449 (0.840‐2.410) | 0.176 | 1.326 (0.774‐2.182) | 0.294 | ||||
Sex | Female/male | 0.829 (0.320‐1.764) | 0.652 | 0.680 (0.263‐1.440) | 0.339 | ||||
Differentiation of ESCC | Poor/well moderate | 1.169 (0.624‐2.048) | 0.608 | 1.284 (0.714‐2.180) | 0.388 | ||||
Pathological depth of tumor invasion | T3‐4/T0‐2 | 2.873 (1.776‐4.701) | <0.001 | 1.654 (0.952‐2.900) | 0.0740 | 3.694 (2.322‐5.947) | <0.001 | 2.278 (1.338‐3.904) | 0.0024 |
Pathological lymph node metastasis | Positive/negative | 2.869 (1.766‐4.715) | <0.001 | 1.501 (0.832‐2.725) | 0.178 | 3.181 (2.009‐5.099) | <0.001 | 1.373 (0.779‐2.425) | 0.273 |
Lymphatic invasion | Positive/negative | 2.872 (1.783‐4.691) | <0.001 | 2.128 (1.231‐3.719) | 0.0068 | 3.913 (2.441‐6.360) | <0.001 | 3.071 (1.778‐5.354) | <0.001 |
Vascular invasion | Positive/negative | 2.175 (1.315‐3.532) | 0.0029 | 1.233 (0.708‐2.123) | 0.455 | 2.649 (1.647‐4.201) | <0.001 | 1.250 (0.729‐2.127) | 0.414 |
EMT | Positive/negative | 1.479 (0.879‐2.421) | 0.137 | 1.392 (0.848‐2.227) | 0.186 | ||||
CD44v9 at TIF | Positive/negative | 1.984 (1.227‐3.217) | 0.0054 | 1.954 (1.193‐3.208) | 0.0079 | 1.637 (1.034‐2.582) | 0.0345 | 1.751 (1.088‐2.817) | 0.0212 |
RFS, recurrence‐free survival; OS, overall survival; ESCC, esophageal squamous cell carcinoma; HR, hazard ratio; CI, confidence interval EMT, epithelial‐mesenchymal transition; TIF, tumor invasive front.
3.5. Causal relationship between CD44v9 expression and EMT
We used an ESCC cell line to assess the causal relationship between CD44v9 expression and EMT. After treatment of TE6 cells with TGF‐β to induce EMT, the cobblestone‐like epithelial morphology was converted to a spindle‐like mesenchymal morphology. In contrast, siCD44v9‐transfected cells retained a cobblestone‐like morphology. In addition, TE6 cells treated with TGF‐β and siCD44v9 retained a spindle‐like mesenchymal morphology similar to that of cells treated with TGF‐β alone, suggesting that siCD44v9 did not affect morphology (Figure 4A). Although the expression of CD44v9 and vimentin increased, and expression of E‐cadherin decreased, in cells treated with TGF‐β, the expression of E‐cadherin and vimentin was unchanged in siCD44v9‐transfected cells. CD44v9 expression was undetectable in TE6 cells treated with TGF‐β and siCD44v9 (Figure 4B). In contrast, the expression of E‐cadherin and vimentin was not affected by siCD44v9 in cells treated with TGF‐β (Figure 4B). These results suggest that CD44v9 expression was induced by EMT.
3.6. The role of CD44v9 in tumor cell proliferation and intracellular ROS level
To evaluate the contribution of CD44v9 to cell proliferation and intracellular ROS level, we treated TE6 cells with siCD44v9, TGF‐β, or combined siCD44v9 and TGF‐β. The 48‐h cell growth rates were not changed after treatment with siCD44v9, TGF‐β, or both. The intracellular ROS level was increased 96 hours after treatment with siCD44v9 or both siCD44v9 and TGF‐β (P = 0.0051 and 0.0051, respectively). In contrast, the intracellular ROS level was not affected by treatment with TGF‐β alone (Figure S2).
3.7. The role of CD44v9 in tumor cell migration and invasion
We hypothesized that CD44v9 expression promotes tumor cell migration and invasion because CD44v9 expression was higher at the TIF and its expression at the TIF was associated with the depth of tumor invasion (Table [Link], [Link] and Table 1). To evaluate the contribution of CD44v9 to cell migration and invasion, we treated TE6 cells with siCD44v9, TGF‐β, or combined siCD44v9 and TGF‐β. The number of migrating and invading cells was significantly decreased in TE6 cells treated with siCD44v9 compared with cells transfected with siCONT (P = 0.034 and P = 0.016, respectively) and was significantly increased by treatment with TGF‐β (both P < 0.001). In contrast, the number of migrating and invading cells was significantly decreased for cells treated with siCD44v9 and TGF‐β compared with TGF‐β treatment alone (both P < 0.001) (Figure 5). These results indicate that CD44v9 enhanced tumor migration and invasion through a mechanism independent of EMT.
4. DISCUSSION
In this study, we analyzed CD44v9 expression at the tumor invasive front in patients with ESCC who were not administered preoperative therapy and investigated the association between CD44v9 expression and patients’ clinicopathological features and EMT. Immunohistochemical analysis demonstrated that CD44v9 expression was significantly higher at the TIF and was significantly associated with the depth of tumor invasion, thus serving as an independent prognostic factor. We further demonstrated that expression of CD44v9 in an ESCC cell line was increased by TGF‐β‐induced EMT. Furthermore, siCD44v9‐transfected ESCC cells showed decreased migration and invasiveness.
To our knowledge, this is the first study to report the significance of CD44v9 expression in ESCC. CD44v9 expression is significantly associated with poor prognosis of patients with gastric, bladder, and liver cancers, as well as other cancers.28, 29, 30, 31 Although most studies of CD44v9 examined its expression according to the intensity of staining or the proportion of CD44v9‐positive cells in whole tumor sections, several studies have reported levels of CD44v9 expression at the TIF.28, 29 For example, in non‐muscle invasive bladder cancer expression of CD44v9 is localized to the TIF.28 In gastric cancer, expression of CD44v6 and CD44v9 at the TIF is more strongly associated with poor prognosis than expression in whole tumor sections.29
In the present study, CD44v9 expression in whole tumor sections was not associated with patient outcomes and clinicopathological features (data not shown). In contrast, CD44v9 expression at the TIF was significantly associated with the depth of tumor invasion and poor OS and RFS (Table 1 and Figure 3). These results suggested that expression of CD44v9 at the TIF, but not in whole tumor sections, may play an essential role in the acquisition of clinicopathological malignant traits. The significance of CD44v9 expression at the TIF may differ according to the type of cancer. The association between EMT and poor prognosis in ESCC is currently unclear. In this study, CD44v9 expression at the TIF was associated with EMT and poor prognosis (Table 1 and Figure 3) whereas EMT was not associated with survival (Table 2). However, CD44v9 expression increased following EMT activation (Figure 4). It is reported that elevated CD44v9 expression increases antioxidant capacity and is associated with tumor invasion and metastasis.12, 32 Therefore, CD44v9 expression at the TIF in addition to EMT may accelerate tumor malignant traits.
In this study, we defined EMTbased on decreased expression of E‐cadherin and morphological features of the TIF. Tumor budding is associated with a type of diffusely infiltrative growth observed in many gastrointestinal cancers and is recognized as a measure of cancer aggressiveness.33 Furthermore, evidence indicates that tumor budding is representative of EMT34; for example, studies of transcriptional differences between the center of a tumor and tumor buds in oral squamous cell carcinoma and colorectal cancer35, 36 demonstrate that cells in the tumor buds exhibit a gene expression signature more characteristic of EMT phenotype compared with cells in the center of the tumor. Moreover, tumor budding displaying a spindle‐like morphology is associated with decreased expression of E‐cadherin and increased expression of ZEB1.19 In ESCC, the EMT status, defined as a high vimentin to E‐cadherin RNA expression ratio in cancerous tissues, is associated with tumor budding.37 Further studies are required to establish the biological and clinical significance of tumor budding in this highly aggressive disease.
The identity of the signaling pathway that links the EMT with the acquisition of CSC properties is unknown, although an association between these phenotypes is supported by compelling evidence. Cancer cells at the tumor invasive front are frequently exposed to several cytokines (eg, TGF‐β, HGF) and enzymes (eg, matrix metalloproteinase).38, 39, 40 An activated EMT program establishes autocrine signaling loops, including those of the TGF‐β and Wnt‐β‐catenin signal transduction pathways, which contribute to the CSC phenotype.41 EMT program also contributes to CSC function through several intracellular signaling pathways. For example, Twist, which is an inducer of EMT, prevents tumor senescence,23 and overexpression of Twist enhances in vitro tumor‐sphere formation and in vitro tumor seeding.22 Similarly, knockdown of Snail, which also induces EMT, reduces tumor‐sphere formation in head and neck carcinoma.42 As mentioned above, some reports have revealed that several cytokines and transcriptional factors that induce EMT also contribute to induction of a CSC phenotype. In the present study, IHC analysis detected high levels of CD44v9 expression in the TIF, particularly in tumor buds (Tables S1 and S2), and TGF‐β stimulation induced high expression of CD44v9 in ESCC cells (Figure 4B). Several studies have reported a positive role of TGF‐β in the CSC population by promoting or sustaining stemness.43, 44, 45 Although it is not clear how expression of the CSC markers CD44 or CD44v9 is regulated, activation of the EMT program by TGF‐β at the TIF may contribute to tumor stemness, and this tumor microenvironment may increase the expression of CD44v9 expression at the TIF.
During invasion and metastasis, cancer cells are exposed to environmental stressors such as ROS.13 Therefore, inhibition of such oxidative stress at potential sites of invasion or metastasis may be required for cancer cells to establish invasive or metastatic lesions. The interaction of CD44v8‐10 with the cystine transporter stabilizes intracellular GSH levels, potentiating the ability of cancer cells to defend themselves against ROS.12 CD44v9 expression was significantly higher at the TIF compared with the center of the tumor (Table 1), suggesting that higher CD44v9 expression at the TIF may reflect an increased ability of CD44v9‐positive tumor cells to invade the stroma. Intracellular GSH production, regulation, and utilization are regulated by several antioxidants and enzymes.46, 47, 48, 49, 50 In addition, the effect of ROS on tumor cell fate depends on the ROS level;46, 51 low levels of ROS provide a beneficial effect, supporting cell proliferation, and survival pathways, whereas high levels of ROS cause detrimental oxidative stress that can lead to cell death.46 For these reasons, we assessed intracellular ROS levels to investigate whether CD44v9 inhibition directly affects ROS production. We found that the intracellular ROS level was increased 96 hours after siCD44v9 transfection and after combined siCD44v9 transfection and TGF‐β treatment (P = 0.0051 and 0.0051, respectively). In contrast, the intracellular ROS level was not affected by TGF‐β treatment alone (Figure S2).
These findings are supported by our demonstration that inhibition of CD44v9 expression by siCD44v9 decreased tumor cell migration and invasiveness (Figure 5). The siCD44v9‐induced suppression of resistance to ROS, which tumor cells are exposed to during invasion, may inhibit the migration and invasiveness of tumor cells. Thus, CD44v9 may represent a therapeutic target for patients with ESCC. Sulfasalazine (SSZ), which has long been used to treat patients with rheumatoid arthritis and ulcerative colitis, specifically inhibits the cystine transporter.52 Studies to evaluate the effects of SSZ on patients with advanced gastric cancer and non‐squamous non‐small cell lung cancer have been conducted in Japan.53, 54, 55 The development of anti‐CD44v9 targeting therapy may therefore represent a candidate novel treatment strategy for managing patients with ESCC.
The present study has some limitations. First, we defined the non‐EMT and EMT groups based only on E‐cadherin expression and morphological features at the TIF. However, this definition of EMT has not been established in tissue specimens and an appropriate definition of EMT at the TIF in resected specimens should be established. Second, this was a retrospective study of patients treated at a single institution. However, we are unaware of any other studies that focus on CD44v9 expression in patients with ESCC and therefore our findings provide useful novel information that suggests the value of further studies on the role of CD44v9 in ESCC. Third, we revealed that CD44v9 inhibition decreased tumor cell invasion capacity in vitro and high CD44v9 expression was associated with deeper tumor invasion in human material; however, data on tumor invasion in an animal model are lacking and further examinations in animal models are required.
In conclusion, CD44v9 expression at the TIF was associated with EMT, tumor invasion, and the malignant potential of ESCC cells. We propose that acquisition of CSC properties induced by EMT at the TIF contributes to the migration and invasiveness of cancer cells. Together, these findings strongly suggest that CD44v9 represents a novel prognostic biomarker and a potential therapeutic target for ESCC.
CONFLICT OF INTEREST
None Declared.
Supporting information
ACKNOWLEDGMENTS
We thank Y. Kubota, M. Nakajima, A. Nakamura, and S. Tsurumaru (Department of Surgery and Science, Graduate School of Medical Science, for technical assistance. We thank Edanz Group (www.edanzediting.com/ac) for editing a draft of this manuscript.
Taniguchi D, Saeki H, Nakashima Y, et al. CD44v9 is associated with epithelial‐mesenchymal transition and poor outcomes in esophageal squamous cell carcinoma. Cancer Med. 2018;7:6258–6268. 10.1002/cam4.1874
REFERENCES
- 1. Ferlay J, Soerjomataram I, Dikshit R, et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer 2015;136:E359‐E386. [DOI] [PubMed] [Google Scholar]
- 2. Morita M, Yoshida R, Ikeda K, et al. Advances in esophageal cancer surgery in Japan: an analysis of 1000 consecutive patients treated at a single institute. Surgery. 2008;143:499‐508. [DOI] [PubMed] [Google Scholar]
- 3. Saeki H, Morita M, Tsuda Y, et al. Multimodal treatment strategy for clinical T3 thoracic esophageal cancer. Ann Surg Oncol. 2013;20:4267‐4273. [DOI] [PubMed] [Google Scholar]
- 4. Cook MB. Non‐acid reflux: the missing link between gastric atrophy and esophageal squamous cell carcinoma? Am J Gastroenterol. 2011;106:1930‐1932. [DOI] [PubMed] [Google Scholar]
- 5. Shibata A, Matsuda T, Ajiki W, Sobue T. Trend in incidence of adenocarcinoma of the esophagus in Japan, 1993‐2001. Jpn J Clin Oncol. 2008;38:464‐468. [DOI] [PubMed] [Google Scholar]
- 6. Enzinger PC, Mayer RJ. Esophageal cancer. N Eng J Med. 2003;349:2241‐2252. [DOI] [PubMed] [Google Scholar]
- 7. Reya T, Morrison SJ, Clarke MF, Weissman IL. Stem cells, cancer, and cancer stem cells. Nature. 2001;414:105‐111. [DOI] [PubMed] [Google Scholar]
- 8. Nguyen DX, Bos PD, Massague J. Metastasis: from dissemination to organ‐specific colonization. Nat Rev Cancer. 2009;9:274‐284. [DOI] [PubMed] [Google Scholar]
- 9. Dalerba P, Dylla SJ, Park IK, et al. Phenotypic characterization of human colorectal cancer stem cells. Proc Natl Acad Sci USA. 2007;104:10158‐10163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Collins AT, Berry PA, Hyde C, Stower MJ, Maitland NJ. Prospective identification of tumorigenic prostate cancer stem cells. Can Res. 2005;65:10946‐10951. [DOI] [PubMed] [Google Scholar]
- 11. Warzecha CC, Sato TK, Nabet B, Hogenesch JB, Carstens RP. ESRP1 and ESRP2 are epithelial cell‐type‐specific regulators of FGFR2 splicing. Mol Cell. 2009;33:591‐601. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Ishimoto T, Nagano O, Yae T, et al. CD44 variant regulates redox status in cancer cells by stabilizing the xCT subunit of system xc(‐) and thereby promotes tumor growth. Cancer Cell. 2011;19:387‐400. [DOI] [PubMed] [Google Scholar]
- 13. Yae T, Tsuchihashi K, Ishimoto T, et al. Alternative splicing of CD44 mRNA by ESRP1 enhances lung colonization of metastatic cancer cell. Nat Commun. 2012;3:883. [DOI] [PubMed] [Google Scholar]
- 14. Thiery JP. Epithelial‐mesenchymal transitions in tumour progression. Nat Rev Cancer. 2002;2:442‐454. [DOI] [PubMed] [Google Scholar]
- 15. Christofori G. New signals from the invasive front. Nature. 2006;441:444‐450. [DOI] [PubMed] [Google Scholar]
- 16. Tsutsumi S, Saeki H, Nakashima Y, et al. PD‐L1 expression at tumor invasive front is associated with EMT and poor prognosis in esophageal squamous cell carcinoma. Cancer Sci. 2017;108:1119‐1127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Yoshida R, Morita M, Shoji F, et al. Clinical Significance of SIP1 and E‐cadherin in patients with esophageal squamous cell carcinoma. Ann Surg Oncol. 2015;22:2608‐2614. [DOI] [PubMed] [Google Scholar]
- 18. Su S, Liu Q, Chen J, et al. A positive feedback loop between mesenchymal‐like cancer cells and macrophages is essential to breast cancer metastasis. Cancer Cell. 2014;25:605‐620. [DOI] [PubMed] [Google Scholar]
- 19. Bronsert P, Enderle‐Ammour K, Bader M, et al. Cancer cell invasion and EMT marker expression: a three‐dimensional study of the human cancer‐host interface. J Pathol. 2014;234:410‐422. [DOI] [PubMed] [Google Scholar]
- 20. Fan F, Samuel S, Evans KW, et al. Overexpression of snail induces epithelial‐mesenchymal transition and a cancer stem cell‐like phenotype in human colorectal cancer cells. Cancer Med. 2012;1:5‐16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Hollier BG, Tinnirello AA, Werden SJ, et al. FOXC2 expression links epithelial‐mesenchymal transition and stem cell properties in breast cancer. Can Res. 2013;73:1981‐1992. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Mani SA, Guo W, Liao MJ, et al. The epithelial‐mesenchymal transition generates cells with properties of stem cells. Cell. 2008;133:704‐715. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Ansieau S, Bastid J, Doreau A, et al. Induction of EMT by twist proteins as a collateral effect of tumor‐promoting inactivation of premature senescence. Cancer Cell. 2008;14:79‐89. [DOI] [PubMed] [Google Scholar]
- 24. Ueno H, Mochizuki H, Shinto E, Hashiguchi Y, Hase K, Talbot IC. Histologic indices in biopsy specimens for estimating the probability of extended local spread in patients with rectal carcinoma. Cancer. 2002;94:2882‐2891. [DOI] [PubMed] [Google Scholar]
- 25. Koike M, Kodera Y, Itoh Y, et al. Multivariate analysis of the pathologic features of esophageal squamous cell cancer: tumor budding is a significant independent prognostic factor. Ann Surg Oncol. 2008;15:1977‐1982. [DOI] [PubMed] [Google Scholar]
- 26. Nakanishi Y, Ohara M, Doumen H, Kimura N, Ishidate T, Kondo S. Correlation between tumor budding and post‐resection prognosis in patients with invasive squamous cell carcinoma of the thoracic esophagus. World J Surg. 2011;35:349‐356. [DOI] [PubMed] [Google Scholar]
- 27. Bankfalvi A, Krassort M, Buchwalow IB, Vegh A, Felszeghy E, Piffko J. Gains and losses of adhesion molecules (CD44, E‐cadherin, and beta‐catenin) during oral carcinogenesis and tumour progression. J Pathol. 2002;198:343‐351. [DOI] [PubMed] [Google Scholar]
- 28. Kobayashi K, Matsumoto H, Matsuyama H, et al. Clinical significance of CD44 variant 9 expression as a prognostic indicator in bladder cancer. Oncol Rep. 2016;36:2852‐2860. [DOI] [PubMed] [Google Scholar]
- 29. Kodama H, Murata S, Ishida M, et al. Prognostic impact of CD44‐positive cancer stem‐like cells at the invasive front of gastric cancer. Br J Cancer. 2017;116:186‐194. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Kakehashi A, Ishii N, Sugihara E, Gi M, Saya H, Wanibuchi H. CD44 variant 9 is a potential biomarker of tumor initiating cells predicting survival outcome in hepatitis C virus‐positive patients with resected hepatocellular carcinoma. Cancer Sci. 2016;107:609‐618. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Hirata K, Suzuki H, Imaeda H, et al. CD44 variant 9 expression in primary early gastric cancer as a predictive marker for recurrence. Br J Cancer. 2013;109:379‐386. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Ishimoto T, Oshima H, Oshima M, et al. CD44+ slow‐cycling tumor cell expansion is triggered by cooperative actions of Wnt and prostaglandin E2 in gastric tumorigenesis. Cancer Sci. 2010;101:673‐678. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Prall F. Tumour budding in colorectal carcinoma. Histopathology. 2007;50:151‐162. [DOI] [PubMed] [Google Scholar]
- 34. Karamitopoulou E. Tumor budding cells, cancer stem cells and epithelial‐mesenchymal transition‐type cells in pancreatic cancer. Front Oncol. 2012;2:209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Jensen DH, Dabelsteen E, Specht L, et al. Molecular profiling of tumour budding implicates TGFbeta‐mediated epithelial‐mesenchymal transition as a therapeutic target in oral squamous cell carcinoma. J Pathol. 2015;236:505‐516. [DOI] [PubMed] [Google Scholar]
- 36. De Smedt L, Palmans S, Andel D, et al. Expression profiling of budding cells in colorectal cancer reveals an EMT‐like phenotype and molecular subtype switching. Br J Cancer. 2017;116:58‐65. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Niwa Y, Yamada S, Koike M, et al. Epithelial to mesenchymal transition correlates with tumor budding and predicts prognosis in esophageal squamous cell carcinoma. J Surg Oncol. 2014;110:764‐769. [DOI] [PubMed] [Google Scholar]
- 38. Yu Y, Xiao CH, Tan LD, Wang QS, Li XQ, Feng YM. Cancer‐associated fibroblasts induce epithelial‐mesenchymal transition of breast cancer cells through paracrine TGF‐beta signalling. Br J Cancer. 2014;110:724‐732. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Giannoni E, Bianchini F, Masieri L, et al. Reciprocal activation of prostate cancer cells and cancer‐associated fibroblasts stimulates epithelial‐mesenchymal transition and cancer stemness. Can Res. 2010;70:6945‐6956. [DOI] [PubMed] [Google Scholar]
- 40. Nielsen BS, Sehested M, Timshel S, Pyke C, Dano K. Messenger RNA for urokinase plasminogen activator is expressed in myofibroblasts adjacent to cancer cells in human breast cancer. Lab Invest. 1996;74:168‐177. [PubMed] [Google Scholar]
- 41. Scheel C, Eaton EN, Li SH, et al. Paracrine and autocrine signals induce and maintain mesenchymal and stem cell states in the breast. Cell. 2011;145:926‐940. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Chen YC, Chen YW, Hsu HS, et al. Aldehyde dehydrogenase 1 is a putative marker for cancer stem cells in head and neck squamous cancer. Biochem Biophys Res Comm. 2009;385:307‐313. [DOI] [PubMed] [Google Scholar]
- 43. You H, Ding W, Rountree CB. Epigenetic regulation of cancer stem cell marker CD133 by transforming growth factor‐β. Hepatology. 2010;51:1635‐1644. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Bruna A, Greenwood W, Le Quesne J, et al. TGF‐β induces the formation of tumour‐initiating cells in claudinlow breast cancer. Nat Commun. 2012;3:1055. [DOI] [PubMed] [Google Scholar]
- 45. Hasegawa T, Yashiro M, Nishii T, et al. Cancer‐associated fibroblasts might sustain the stemness of scirrhous gastric cancer cells via transforming growth factor‐β signaling. Int J Cancer. 2014;134:1785‐1795. [DOI] [PubMed] [Google Scholar]
- 46. Gorrini C, Harris IS, Mak TW. Modulation of oxidative stress as an anticancer strategy. Nat Rev Drug Discovery. 2013;12:931‐947. [DOI] [PubMed] [Google Scholar]
- 47. Thimmulappa RK, Mai KH, Srisuma S, Kensler TW, Yamamoto M, Biswal S. Identification of Nrf2‐regulated genes induced by the chemopreventive agent sulforaphane by oligonucleotide microarray. Can Res. 2002;62:5196‐5203. [PubMed] [Google Scholar]
- 48. Johansson L, Gafvelin G, Arner ES. Selenocysteine in proteins‐properties and biotechnological use. Biochem Biophys Acta. 2005;1726:1‐13. [DOI] [PubMed] [Google Scholar]
- 49. McGrath‐Morrow S, Lauer T, Yee M, et al. Nrf2 increases survival and attenuates alveolar growth inhibition in neonatal mice exposed to hyperoxia. Am J Physiol Lung Cell Mol Physiol. 2009;296:L565–L573. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Mandal PK, Seiler A, Perisic T, et al. System x(c)‐ and thioredoxin reductase 1 cooperatively rescue glutathione deficiency. J Biol Chem. 2010;285:22244‐22253. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Cairns RA, Harris IS, Mak TW. Regulation of cancer cell metabolism. Nat Rev Cancer. 2011;11:85‐95. [DOI] [PubMed] [Google Scholar]
- 52. Chen RS, Song YM, Zhou ZY, et al. Disruption of xCT inhibits cancer cell metastasis via the caveolin‐1/beta‐catenin pathway. Oncogene. 2009;28:599‐609. [DOI] [PubMed] [Google Scholar]
- 53. Shitara K, Doi T, Nagano O, et al. Phase 1 study of sulfasalazine and cisplatin for patients with CD44v‐positive gastric cancer refractory to cisplatin (EPOC1407). Gastric Cancer. 2017;20:1004‐9. [DOI] [PubMed] [Google Scholar]
- 54. Shitara K, Doi T, Nagano O, et al. Dose‐escalation study for the targeting of CD44v+ cancer stem cells by sulfasalazine in patients with advanced gastric cancer (EPOC1205). Gastric Cancer. 2017;20:341‐9. [DOI] [PubMed] [Google Scholar]
- 55. Otsubo K, Nosaki K, Imamura CK, et al. Phase I study of salazosulfapyridine in combination with cisplatin and pemetrexed for advanced non‐small‐cell lung cancer. Cancer Sci. 2017;108:1843‐1849. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.