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EphA8 is a prognostic marker for epithelial ovarian cancer

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Oncotarget. 2016; 7:20801-20809. https://doi.org/10.18632/oncotarget.8018

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Xiaoqin Liu, Yunzhao Xu, Qin Jin, Wei Wang, Shu Zhang, Xudong Wang, Yuquan Zhang, Xujuan Xu _ and Jianfei Huang

Abstract

Xiaoqin Liu1,*, Yunzhao Xu2,*, Qin Jin3, Wei Wang3, Shu Zhang3, Xudong Wang4, Yuquan Zhang2, Xujuan Xu1, Jianfei Huang3

1Department of Nursing, Nantong University, Nantong 226001, Jiangsu, China

2Department of Obstetrics and Gynecology, Nantong University Affiliated Hospital, Nantong 226001, Jiangsu, China

3Department of Pathology, Nantong University Affiliated Hospital, Nantong 226001, Jiangsu, China

4Department of Laboratory Medicine, Nantong University Affiliated Hospital, Nantong 226001, Jiangsu, China

*These authors contributed equally to this work

Correspondence to:

Xujuan Xu, e-mail: [email protected]

Jianfei Huang, e-mail: [email protected]

Keywords: EphA8, human epithelial ovarian cancer (EOC), immunohistochemistry, qRT-PCR, prognosis

Received: January 05, 2016     Accepted: February 15, 2016     Published: March 09, 2016

ABSTRACT

EphA8 is one of the Eph receptors in the Eph/ephrin receptor tyrosine kinase (RTK) subfamily. During tumorigenesis, EphA8 is involved in angiogenesis, cell adhesion and migration. In this study, we determined the mRNA and protein expression levels of EphA8 in cancerous and normal ovarian tissue samples by quantitative reverse transcription PCR (qRT-PCR) (N = 60) and tissue microarray immunohistochemistry analysis (TMA-IHC) (N = 223) respectively. EphA8 protein levels in cancer tissues were correlated with epithelial ovarian cancer (EOC) patients’ clinical characteristics and overall survival. Both EphA8 mRNA and protein levels were significantly higher in EOC tissues than in normal or benign ovarian tissues (all P < 0.05). High EphA8 protein level was associated older age at diagnosis, higher FIGO stage, positive lymph nodes, presence of metastasis, positive ascitic fluid, and higher serum CA-125 level. High EphA8 protein level is an independent prognostic marker in EOC. We conclude that EphA8 acts as an oncogene in EOC development and progression. Detection of EphA8 expression could be a useful prognosis marker and targeting EphA8 represents a novel strategy for EOC treatment.


INTRODUCTION

Epithelial ovarian cancer (EOC) is the seventh most common cancer and the eighth most common cause of cancer death in women worldwide. There were approximately 239,000 new cases diagnosed and 159,000 women died of EOC in 2012 (GLOBOCAN 2012). Although China has lower incidence rate of EOC [1] compared to western countries, the burden of EOC is not decreasing, instead the incidence in rural regions is predicted to be rising [2]. Because of the lack of specific symptoms during early stages of the disease, about 75% of EOC cases are diagnosed at advanced stage (stage III and IV) [3]. Further, the location of ovary hinders the development of morphology-based screening methods. Despite recent intensive research on the identification of biomarkers for early detection, currently, the only clinical available blood biomarker for EOC screening is CA125, which suffers from low sensitivity and specificity [4]. The standard treatment for women with advanced stage EOC is surgical cytoreduction followed by systemic chemotherapy [5]. Recent developments on EOC targeted therapies include angiogenesis inhibitors and poly (ADP-ribose) polymerase (PARP) inhibitors [67]. Despite these advances, the overall survival of EOC patients has not been significantly improved [8]. Novel markers for diagnosis and prognosis as well as new therapeutic targets are needed.

Ephrin receptors (Ephs) and ephrins are the largest subfamily of receptor tyrosine kinases (RTKs) [9]. Both are membrane-bound proteins that possess a unique capacity to initiate bi-directional intercellular downstream signaling pathways following cell-cell contact in both Eph-bearing (forward signaling) and ephrin-bearing cells (reverse signaling) [10]. During embryonic development, Eph-ephrin signaling pathway is involved in axon guidance, formation of tissue boundaries, cell migration and segmentation. In adulthood, they are involved in the maintenance of long-term potentiation, angiogenesis, and stem cell differentiation [11]. Ephs and ephrins display complex expression patterns in both cancer cells and tumor stroma cells, and they are implicated in multiple aspects of cancer development and progression, including tumor growth, migration/invasion, tumor stem cells, angiogenesis and metastasis [1213]. In human, there are 14 Eph receptors (EphA1-8, EphA10, EphB1-4, EphB6) and eight ephrins (ephrin-A1-5, ephrin-B1-3) [1415].

EphA8 functions as a receptor for GPI-anchored ephrin-A2, A3 and A5. When activated by ephrin-A5, phosphorylated EphA8 regulates integrin-mediated cell adhesion and migration on fibronectin substrate as well as neurite outgrowth and axon guidance through downstream FYN and MAP kinase signaling pathways [16]. During early brain development, EphA8 induces apoptosis in a caspase-dependent manner in ephrin-A5+ cells [17]. Downregulation of EphA8 has been detected in colon cancer as well as glioblastoma [18]. In glioma, downregulation of EphA8 by miR-10a induces epithelial mesenchymal transition (EMT) to promote tumor migration and invasion [19]. In EOC, aberrant expression of various Ephs and ephrins has been reported and associated with tumor aggressiveness and overall survival [2026]. However, no studies have reported the expression of EphA8 in EOC.

In the current study, we determined both mRNA and protein expression of EphA8 in EOC tissue samples by quantitative reverse transcription PCR (qRT-PCR) and tissue microarray immunohistochemistry analysis (TMA-IHC) respectively, and correlated to patients’ clinical characteristics and overall survival.

RESULTS

EphA8 mRNA level was significantly higher in EOC tissues than in normal and benign ovarian tissues

We determined EphA8 mRNA level in 60 fresh frozen ovarian tissues, including 20 normal fallopian tube samples, 20 normal ovarian tissues, and 20 EOC tissues. Relative EphA8 expression level was normalized to the expression of housekeeping gene β-actin. EphA8 mRNA expression level was significantly higher in EOC tissues (0.342 ± 0.038) when compared to normal fallopian tube tissues (0.087 ± 0.013) and normal ovarian tissues (0.071 ± 0.010) (P < 0.001) (Figure 1).

EphA8 mRNA level was significantly higher in ovarian cancer tissues than in normal fallopian tube and normal ovarian tissues.

Figure 1: EphA8 mRNA level was significantly higher in ovarian cancer tissues than in normal fallopian tube and normal ovarian tissues. EphA8 mRNA was determined by qRT-PCR and relative quantification analysis by normalizing to β-actin mRNA.

EphA8 protein level was significantly higher in EOC tissues than normal and benign ovarian tissues

We subsequently determined EphA8 protein expression in 223 archived ovarian tissue blocks, including 125 EOC tissues, 30 borderline ovarian tumor tissues, 30 benign ovarian tumor tissues, 20 normal fallopian tube tissues, and 18 normal ovarian tissues. Epithelial EphA8 expression was analyzed for each tissue block: high EphA8 expression was detected in 44.80% of EOC tissues, but only detected in 6.67%–15% of normal or benign ovarian tissues (Table 1, Figure 2). The frequency of high EphA8 expression in EOC tissues was significantly higher than in normal and benign ovarian tissues (Pearson χ2 = 31.962, P = 0.001).

Table 1: Immunohistochemical staining of EphA8 protein in normal ovarian, normal fallopian tube, benign ovarian tumor, borderline ovarian tumor and EOC tissues

Tissue sample

n

EphA8 expression

Low or none

High

Pearson χ2

P- value

Normal ovarian tissue

18

16 (88.89)

2 (11.11)

31.962

0.001*

Normal fallopian tube tissue

20

17 (85.00)

3 (15.00)

 

 

Benign ovarian tumor

30

28 (93.33)

2 (6.67)

 

 

Borderline ovarian tumor

30

27 (90.00)

3 (10.00)

 

 

EOC

125

69 (55.20)

56 (44.80)

 

 

EphA8 protein was detected in ovarian cancer tissues but not in normal fallopian tube and normal ovarian tissues.

Figure 2: EphA8 protein was detected in ovarian cancer tissues but not in normal fallopian tube and normal ovarian tissues. EphA8 protein was determined by TMA-IHC, (a1a2) ovarian serous papillary carcinoma, strong positive for EphA8 protein expression; (b1b2) ovarian serous adenoma, weak positive for EphA8 protein expression; (c1c2) normal fallopian tube tissues, negative for EphA8 protein expression; (d1d2) normal ovarian tissues, negative for EphA8 protein expression. a1, b1, c1 and d1 are ×40 magnification (bar = 500 μm), a2, b2, c2 and d2 are ×400 magnification (bar = 50 μm). Red arrows indicate positive EphA8 protein expression on cancerous epithelial cell membranes, and green arrows indicate negative EphA8 protein expression on normal ovarian epithelial cell membranes.

Association of EphA8 expression with EOC clinical characteristics

Next, we correlated EphA8 protein expression with EOC patients’ clinical characteristics. High EphA8 protein expression was significantly associated with older age (60 years, P = 0.002), higher stage (FIGO stage II–IV, P = 0.001), presence of metastasis (P = 0.001), positive ascetic fluid (P = 0.047), and higher serum CA-125 level (> 100 U/ml, P = 0.038) (Table 2).

Table 2: Correlation of EphA8 protein expression with EOC patients’ clinicopathologic characteristics

Groups

EphA8

n = 125

Low or no (n = 69)

High (n = 56)

Pearson c2

P-value

Age at diagnosis

 

 

 

9.969

0.002*

 60 years

75

50 (66.67)

25 (33.33)

 

 

 60 years

50

19 (38.00)

31 (62.00)

 

 

FIGO stage

 

 

 

19.677

0.001*

mI

61

46 (75.41)

15 (24.59)

 

 

 II–IV

64

23 (35.94)

41 (64.06)

 

 

Histological classification

 

 

 

0.067

0.967

 Serous carcinoma

97

53 (54.64)

44 (45.36)

 

 

 Endometrioid carcinoma

16

9 (56.25)

7 (43.75)

 

 

 Othera

12

7 (58.33)

5 (41.67)

 

 

Grade

 

 

 

2.688

0.101

 Low

36

24 (66.67)

12 (33.33)

 

 

 High

89

45 (50.56)

44 (49.44)

 

 

Positive lymph node

 

 

 

3.833

0.05

 No

102

60 (58.82)

42 (41.18)

 

 

 Yes

20

7 (35.00)

13 (65.00)

 

 

 Unknown

3

2

1

 

 

Metastasis

 

 

 

23.641

0.001*

 No

68

51 (75.00)

17 (25.00)

 

 

 Yes

57

18 (31.58)

39 (68.42)

 

 

Positive ascetic fluid

 

 

 

3.941

0.047*

 No

61

35 (57.38)

26 (42.62)

 

 

 Yes

31

11 (35.48)

20 (35.48)

 

 

 Unknown

33

23

10

 

 

Double or single

 

 

 

2.764

0.096

 No

77

47 (61.04)

30 (38.96)

 

 

 Yes

48

22 (45.83)

26 (54.17)

 

 

Serum CA-125 (U/ml)

 

 

 

4.312

0.038*

 ≤ 100

15

12 (80.00)

3 (20.00)

 

 

 > 100

103

53 (51.46)

50 (48.54)

 

 

 Unknown

7

4

3

 

 

*P < 0.05 indicates a significant association among the variables; Metastasis: pelvic lymph node metastases or nearby tissues and organs involved.

a, others: clear cell carcinoma, 3 cases; mucinous carcinoma, 5 cases; transitional cell carcinoma, 2cases; adeno-squamous carcinoma, 2 cases.

High EphA8 protein expression predicts poor overall survival in EOC patients

Finally, we analyzed prognostic factors in EOC patients using both univariate and multivariate analysis. In univariate analysis, we identified following prognostic markers associated with poor overall survival: higher EphA8 expression (HR, 4.614, 95% CI: 2.598–8.193; P = 0.001), older age at diagnosis (HR, 3.181, 95% CI: 1.848–5.475; P = 0.001), higher FIGO stage (HR, 4.651, 95% CI: 2.496–8.665; P = 0.001), higher tumor grade (HR, 2.026, 95% CI: 1.063–3.863; P = 0.032), positive lymph nodes (HR, 2.084, 95% CI: 1.131–3.843; P = 0.019), and presence of metastases (HR, 4.869, 95% CI: 2.694–8.801; P = 0.001). Because lymph node positivity and metastasis are already considered in the FIGO stage, all these significant factors except these two factors were included in the subsequent multivariate analysis. In multivariate analysis, higher EphA8 expression (HR, 2.591, 95% CI: 1.376–4.877; P = 0.003), older age at diagnosis (HR, 1.925, 95% CI: 1.084–3.420; P = 0.025), and higher FIGO stage (HR, 2.412, 95% CI: 1.195–4.869; P = 0.014) remained significantly associated with poor overall survival (Table 3). Similar results were shown by the Kaplan-Meier survival curve analysis (log rank, P < 0.001, Figure 3).

Table 3: Prognostic markers for overall survival in EOC patients by univariate and multivariate Cox proportional hazard model analysis

Variable

Univariate analysis

Multivariate analysis

HR

P-value

95% CI

HR

P-value

95% CI

EphA8

 

 

 

 

 

 

 High vs. low

4.614

0.001*

2.598–8.193

2.591

0.003*

1.376–4.877

Age (years)

 

 

 

 

 

 

 < 60 vs. ≥ 60

3.181

0.001*

1.848–5.475

1.925

0.025*

1.084–3.420

FIGO Stage

 

 

 

 

 

 

 II–IV vs. I

4.651

0.001*

2.496–8.665

2.412

0.014*

1.195–4.869

Histological type

 

 

 

 

 

 

 Sc vs. Ec vs. Others

.649

0.080

0.399–1.053

 

 

 

Grade

 

 

 

 

 

 

 Low vs. High

2.026

0.032*

1.063–3.863

1.377

0.352

0.702–2.704

Positive lymph node

 

 

 

 

 

 

 Yes vs. No

2.084

0.019*

1.131–3.843

 

 

 

 Positive ascitic fluid

 

 

 

 

 

 

 Yes vs. No

1.534

0.144

0.864–2.722

 

 

 

Metastasis

 

 

 

 

 

 

 Yes vs. No

4.869

0.001*

2.694–8.801

 

 

 

Double or single

 

 

 

 

 

 

 Yes vs. No

1.118

0.684

0.655–1.907

 

 

 

Serum CA-125 (U/ml)

 

 

 

 

 

 

 < 100 vs. ≥ 100

2.580

0.113

0.800–8.320

 

 

 

Sc, serous carcinoma; Ec, endometrioid carcinoma;

HR: Hazard ratio; CI: Confidence interval. *P < 0.05.

Survival curves of EOC patients by the Kaplan&ndash;Meier method and the log-rank test.

Figure 3: Survival curves of EOC patients by the Kaplan–Meier method and the log-rank test. (A) EphA8+ EOC patients (green line, 1) had significantly worse overall survival than EphA8- patients (blue line, 0); (B) EOC patients with advanced stage (FIGO II–IV stage) (green line, 1) had significantly worse overall survival than patients with early stage (FIGO I stage) (blue line, 0); (C) EOC patients diagnosed at older age (60) (green line, 1) had significantly worse overall survival than patients diagnosed at younger age (< 60) (blue line, 0).

DISCUSSION

In this study, we determined mRNA and protein expression levels of EphA8 in both malignant and normal ovarian tissues. EphA8 mRNA level was significantly higher in ovarian cancer tissues than in normal ovarian tissues or normal fallopian tube tissues. Similarly, EphA8 protein level was significantly higher in ovarian cancer tissues than in normal ovarian tissues, benign ovarian tumors and borderline tumors. High EphA8 protein level was associated with higher age at diagnosis, higher FIGO stages, presence of metastasis, positive ascetic fluid, and higher serum CA125 level. Finally, high EphA8 protein expression is an independent prognostic marker for poor overall survival in EOC patients.

The Eph/ephrin signaling pathway plays multifaceted roles in tumorigenesis and cancer progression. Eph/ephrin can act as oncogenes in human cancer. Several Eph receptors and ephrins are upregulated in a wide variety of cancer types [27]. In fact, the first Eph receptor (EphA1) and the first ephrine (ephrin-A1) were both identified as tumor antigens from carcinoma cell lines [2829], and their overexpression could lead to oncogenic transformation in NIH3T3 fibroblasts [30]. Both gene amplifications and mutations of Eph receptors have been identified in human cancers [3133]. Finally, overexpression of Eph receptors is linked to poor clinical outcome and cancer progression [3435]. Mechanistically, upregulation of Eph/ephrin is associated with angiogenesis and tumor vasculature, including breast, lung, and prostate cancer, melanoma and leukemia [3637]. Because Eph/ephrin signaling pathways modulate diverse processes during normal embryonic and adulthood development, including cell-cell interaction and cell migration, upregulation of Eph/ephrin promotes tumor growth, tumor stem cells, epithelial mesenchymal transition (EMT), invasion and metastasis, thus is associated with the more aggressive tumor behavior [36, 38]. Paradoxically, Eph/ephrin can also act as tumor suppressors: their expression is downregulated either through promoter methylation or loss of heterozygosity in several types of human cancer [3943]. Both Eph forward and reverse signaling can contribute to tumor suppression. In cancer cells, Eph forward signals are silenced, and ephrins expressed in the adjacent normal tissues inhibits tumor expansion and invasiveness [27, 44].

In EOC, both overexpression and silencing of Ephs and ephrins have been observed. Overexpression of ephrins A1 and A5 in EOC was associated with poor survival [26]; Ephrin B1 expression was associated with high-grade carcinomas and microvessel density as well as higher rates of disease recurrence and poor overall survival [25]; EphB4/ephrinB2 expression level was increased with increased clinical stages and higher EphB4/ephrinB2 expression was associated with poor survival [24]; and silencing both EphA2 and EphB2 by siRNA has synergetic antitumor effect [22]. On the other hand, decreased expression of EphB6 or EphB1 was associated with high-grade EOC, metastasis and poor outcome [2021].

EphA8 is the receptor for ephrin A2, A3 and A5, and plays an essential role in short-range contact-mediated axonal guidance during mammalian nervous system development [4546]. EphA8 also promotes integrin-mediated cell adhesion and migration through PI3-kinase and MAPK kinase signaling pathways during normal embryonic development [16, 47]. It has been shown that EphA8 is downregulated in colon cancer and glioblastoma [18], and EphA8 expression is downregulated by miR-10a to promote migration and invasion through EMT in glioma [19]. The current study is the first to demonstrate EphA8’s involvement in EOC and the first to show EphA8 is upregulated in cancer.

Our study has several limitations. First, it is a retrospective study, thus subject to sample selection bias as well as the availability of clinical data. Our results on EphA8 in EOC need to be confirmed in future studies involving larger number of EOC cases. Second, we did not perform laser microdissection to isolate ovarian epithelial cells for the mRNA expression analysis, thus both epithelial cells and stroma cells can contribute to the expression of EphA8. However, our IHC analysis suggests that majority of EphA8 expression is from epithelial cells. Finally, we did not provide the mechanistic insight of EphA8 in ovarian cancer development and progression. In vitro studies are needed to determine the function of EphA8 in EOC before EphA8 and its ligands could be considered as potential therapeutic targets in EOC.

In conclusion, our study demonstrates the involvement of EphA8 in EOC development and as an independent prognostic marker for EOC. We also provide evidence for targeting EphA8 and its ligands signaling pathways as novel EOC therapies. Both in vitro mechanistic studies and in vivo prospective studies are required to confirm and extend our conclusions. Our data support the development of novel cancer treatment strategies exploiting Eph/ephrin signaling pathways in EOC.

MATERIALS AND METHODS

Human tissue specimens and patient clinical information

EOC patients consent, enrollment, clinical data and sample collections were carried out as described before [48]. Briefly, we used 223 formalin-fixed paraffin-embedded (FFPE) tissue blocks and 60 fresh frozen tissue samples in the study. There were 18 patients with normal ovarian tissue, 20 patients with normal fallopian tube tissue 30 patients with benign ovarian tumors, 30 patients with borderline ovarian tumors, and 125 patients with EOC. All ECO patients received standard surgery and platinum-based chemotherapy after resection for 6–8 cycles. None of the patients received any therapy (chemotherapy, radiotherapy, or immunotherapy) prior to surgery. Patients were followed for 120 months right after surgery. Of the 125 cases of ovarian cancer, there were 97 of serous carcinoma, 16 of endometrial carcinoma, and 12 of other types (3 clear cell carcinoma, 5 mucinous carcinoma, 2 transitional cell carcinoma, and 2 adeno-squamous carcinoma). There were 61 stage I, and 64 stage II–IV cases. As for histological grading, 97 cases were high grade and 16 low grade. All these Patient clinical data were recorded in detail in Table 2. The study protocol was approved by the Human Research Ethics Committee of the Affiliated Hospital of Nantong University, Jiangsu, China.

EphA8 expression and statistical analysis

EphA8 mRNA level was determined by quantitative reverse transcription PCR (qRT-PCR) [48]. The primers for EphA8 are as follows: forward primer (5′-CCA CCA GGG TAT GTA AAT ATC-3′) and reverse primer (5′-TGT GCT TTG AAG ACC ATT T-3′). EphA8 protein expression in tissue blocks was determined using tissue microarray immunohistochemistry (TMA-IHC) [48]. Rabbit polyclonal anti-human EphA8 antibody was used (dilution 1:40, HPA031433, Atlas, Sweden). The EphA8 IHC data were scored using the semi-quantitative H-score method taking into account both the staining intensity and the percentage of cells at that intensity [49], ranging from 0–300. Subsequently, the continuous EphA8 protein expression data were converted into dichotic data (low vs high) using specific cutoff values, which were selected to be significant in terms of overall survival (OS) using the X-tile software program (The Rimm Lab at Yale University; http://www.tissuearray.org/rimmlab) [49, 5051]. In the current study, the cutoff was 100: score 0–100 was considered low expression while 101–300 was considered high expression.

Statistical analysis was performed as described before [48]. Student t test was used to compareq RT-PCR data between normal and tumor samples. χ2 tests were performed to determine the correlation between EphA8 expression and clinicopathologic parameters. Univariate and multivariate Cox regression models were used to identify prognostic factors. Kaplan-Meirer method was used to calculate survival curves. For all analyses, a P-value < 0.05 was regarded as statistically significant. Data were analyzed using SPSS 20 statistics software (SPSS Inc., Chicago, IL, USA) and STATA 12.0 (StataCorp, College Station, TX, USA).

ACKNOWLEDGMENTS AND FUNDING

This study was supported by the Social Development and Applied Research Projects (S7944), Nantong, and the Technological Innovation and Demonstration of Social Undertakings Projects (MS22015093) of Nantong, China.

CONFLICTS OF INTEREST

The authors declare no competing financial interests.

REFERENCES

1. Lowe KA, Chia VM, Taylor A, O’Malley C, Kelsh M, Mohamed M, Mowat FS, Goff B. An international assessment of ovarian cancer incidence and mortality. Gynecol Oncol. 2013; 130:107–114.

2. Wang B, Liu SZ, Zheng RS, Zhang F, Chen WQ Sun XB. Time trends of ovarian cancer incidence in China. Asian Pac J Cancer Prev. 2014; 15:191–193.

3. Cohen JG, White M, Cruz A, Farias-Eisner R. In 2014, can we do better than CA125 in the early detection of ovarian cancer? World J Biol Chem. 2014; 5:286–300.

4. Bast RC Jr, Badgwell D, Lu Z, Marquez R, Rosen D, Liu J, Baggerly KA, Atkinson EN, Skates S, Zhang Z, Lokshin A, Menon U, Jacobs I, et al. New tumor markers: CA125 and beyond. Int J Gynecol Cancer. 2005; 15:274–281.

5. Goh J, Mohan GR, Ladwa R, Ananda S, Cohen PA, Baron-Hay S. Frontline treatment of epithelial ovarian cancer. Asia Pac J Clin Oncol. 2015; 11:1–16.

6. Matsuzaki S, Yoshino K, Ueda Y, Kakuda M, Okazawa A, Egawa-Takata T, Kobayashi E, Kimura T. Potential targets for ovarian clear cell carcinoma: a review of updates and future perspectives. Cancer Cell Int. 2015; 15:117.

7. Drew Y. The development of PARP inhibitors in ovarian cancer: from bench to bedside. Br J Cancer. 2015; 113:S3–9.

8. Barnholtz-Sloan JS, Schwartz AG, Qureshi F, Jacques S, Malone J, Munkarah AR. Ovarian cancer: changes in patterns at diagnosis and relative survival over the last three decades. Am J Obstet Gynecol. 2003; 189:1120–1127.

9. Lisabeth EM, Falivelli G, Pasquale EB. Eph receptor signaling and ephrins. Cold Spring Harb Perspect Biol. 2013; 5.

10. Himanen JP, Saha N, Nikolov DB. Cell-cell signaling via Eph receptors and ephrins. Curr Opin Cell Biol. 2007; 19:534–542.

11. Nikolov DB, Xu K, Himanen JP. Eph/ephrin recognition and the role of Eph/ephrin clusters in signaling initiation. Biochim Biophys Acta. 2013; 1834:2160–2165.

12. Brantley-Sieders DM. Clinical relevance of Ephs and ephrins in cancer: lessons from breast, colorectal, and lung cancer profiling. Semin Cell Dev Biol. 2012; 23:102–108.

13. McKinney N, Yuan L, Zhang H, Liu J, Cho YJ, Rushing E, Schniederjan M, MacDonald TJ. EphrinB1 expression is dysregulated and promotes oncogenic signaling in medulloblastoma. J Neurooncol. 2015; 121:109–118.

14. Kandouz M. The Eph/Ephrin family in cancer metastasis: communication at the service of invasion. Cancer Metastasis Rev. 2012; 31:353–373.

15. Pitulescu ME, Adams RH. Eph/ephrin molecules—a hub for signaling and endocytosis. Genes Dev. 2010; 24:2480–2492.

16. Gu C, Shim S, Shin J, Kim J, Park J, Han K, Park S. The EphA8 receptor induces sustained MAP kinase activation to promote neurite outgrowth in neuronal cells. Oncogene. 2005; 24:4243–4256.

17. Kim Y, Park E, Noh H, Park S. Expression of EphA8-Fc in transgenic mouse embryos induces apoptosis of neural epithelial cells during brain development. Dev Neurobiol. 2013; 73:702–712.

18. Hafner C, Schmitz G, Meyer S, Bataille F, Hau P, Langmann T, Dietmaier W, Landthaler M, Vogt T. Differential gene expression of Eph receptors and ephrins in benign human tissues and cancers. Clin Chem. 2004; 50:490–499.

19. Yan Y, Wang Q, Yan XL, Zhang Y, Li W, Tang F, Li X, Yang P. miR-10a controls glioma migration and invasion through regulating epithelial-mesenchymal transition via EphA8. FEBS Lett. 2015; 589:756–765.

20. Gu Y, Li F, Qian N, Chen X, Wang H, Wang J. Expression of EphB6 in ovarian serous carcinoma is associated with grade, TNM stage and survival. J Clin Pathol. 2016; 69:448–53. doi: 10.1136/jclinpath-2015-203160.

21. Wang H, Wen J, Guo Q, Shi S, Shi Q, Zhou X, Liu Q, Lu G, Wang J. Loss of expression of EphB1 protein in serous carcinoma of ovary associated with metastasis and poor survival. Int J Clin Exp Pathol. 2014; 7:313–321.

22. Nishimura M, Jung EJ, Shah MY, Lu C, Spizzo R, Shimizu M, Han HD, Ivan C, Rossi S, Zhang X, Nicoloso MS, Wu SY, Almeida MI, et al. Therapeutic synergy between microRNA and siRNA in ovarian cancer treatment. Cancer Discov. 2013; 3:1302–1315.

23. Wu Q, Lind GE, Aasheim HC, Micci F, Silins I, Trope CG, Nesland JM, Lothe RA, Suo Z. The EPH receptor Bs (EPHBs) promoters are unmethylated in colon and ovarian cancers. Epigenetics. 2007; 2:237–243.

24. Alam SM, Fujimoto J, Jahan I, Sato E, Tamaya T. Coexpression of EphB4 and ephrinB2 in tumour advancement of ovarian cancers. Br J Cancer. 2008; 98:845–851.

25. Castellvi J, Garcia A, de la Torre J, Hernandez J, Gil A, Xercavins J, Ramon y Cajal S. Ephrin B expression in epithelial ovarian neoplasms correlates with tumor differentiation and angiogenesis. Hum Pathol. 2006; 37:883–889.

26. Herath NI, Spanevello MD, Sabesan S, Newton T, Cummings M, Duffy S, Lincoln D, Boyle G, Parsons PG, Boyd AW. Over-expression of Eph and ephrin genes in advanced ovarian cancer: ephrin gene expression correlates with shortened survival. BMC Cancer. 2006; 6:144.

27. Pasquale EB. Eph receptors and ephrins in cancer: bidirectional signalling and beyond. Nat Rev Cancer. 2010; 10:165–180.

28. Hirai H, Maru Y, Hagiwara K, Nishida J, Takaku F. A novel putative tyrosine kinase receptor encoded by the eph gene. Science. 1987; 238:1717–1720.

29. Bartley TD, Hunt RW, Welcher AA, Boyle WJ, Parker VP, Lindberg RA, Lu HS, Colombero AM, Elliott RL, Guthrie BA, et al. B61 is a ligand for the ECK receptor protein-tyrosine kinase. Nature. 1994; 368:558–560.

30. Maru Y, Hirai H, Takaku F. Overexpression confers an oncogenic potential upon the eph gene. Oncogene. 1990; 5:445–447.

31. Kang JU, Koo SH, Kwon KC, Park JW, Kim JM. Identification of novel candidate target genes, including EPHB3, MASP1 and SST at 3q26.2-q29 in squamous cell carcinoma of the lung. BMC Cancer. 2009; 9:237.

32. Davies H, Hunter C, Smith R, Stephens P, Greenman C, Bignell G, Teague J, Butler A, Edkins S, Stevens C, Parker A, O’Meara S, Avis T, et al. Somatic mutations of the protein kinase gene family in human lung cancer. Cancer Res. 2005; 65:7591–7595.

33. Ding L, Getz G, Wheeler DA, Mardis ER, McLellan MD, Cibulskis K, Sougnez C, Greulich H, Muzny DM, Morgan MB, Fulton L, Fulton RS, Zhang Q, et al. Somatic mutations affect key pathways in lung adenocarcinoma. Nature. 2008; 455:1069–1075.

34. Surawska H, Ma PC, Salgia R. The role of ephrins and Eph receptors in cancer. Cytokine Growth Factor Rev. 2004; 15:419–433.

35. Day BW, Stringer BW, Boyd AW. Eph receptors as therapeutic targets in glioblastoma. Br J Cancer. 2014; 111:1255–1261.

36. Janes PW, Slape CI, Farnsworth RH, Atapattu L, Scott AM, Vail ME. EphA3 biology and cancer. Growth Factors. 2014; 32:176–189.

37. Chen J. Regulation of tumor initiation and metastatic progression by Eph receptor tyrosine kinases. Adv Cancer Res. 2012; 114:1–20.

38. Li RX, Chen ZH, Chen ZK. The role of EPH receptors in cancer-related epithelial-mesenchymal transition. Chin J Cancer. 2014; 33:231–240.

39. Sulman EP, Tang XX, Allen C, Biegel JA, Pleasure DE, Brodeur GM, Ikegaki N. ECK, a human EPH-related gene, maps to 1p36.1, a common region of alteration in human cancers. Genomics. 1997; 40:371–374.

40. Huusko P, Ponciano-Jackson D, Wolf M, Kiefer JA, Azorsa DO, Tuzmen S, Weaver D, Robbins C, Moses T, Allinen M, Hautaniemi S, Chen Y, Elkahloun A, et al. Nonsense-mediated decay microarray analysis identifies mutations of EPHB2 in human prostate cancer. Nat Genet. 2004; 36:979–983.

41. Li S, Zhu Y, Ma C, Qiu Z, Zhang X, Kang Z, Wu Z, Wang H, Xu X, Zhang H, Ren G, Tang J, Li X, et al. Downregulation of EphA5 by promoter methylation in human prostate cancer. BMC Cancer. 2015; 15:18.

42. Kuang SQ, Bai H, Fang ZH, Lopez G, Yang H, Tong W, Wang ZZ, Garcia-Manero G. Aberrant DNA methylation and epigenetic inactivation of Eph receptor tyrosine kinases and ephrin ligands in acute lymphoblastic leukemia. Blood. 2010; 115:2412–2419.

43. Fu DY, Wang ZM, Wang BL, Chen L, Yang WT, Shen ZZ, Huang W, Shao ZM. Frequent epigenetic inactivation of the receptor tyrosine kinase EphA5 by promoter methylation in human breast cancer. Hum Pathol. 2010; 41:48–58.

44. Cortina C, Palomo-Ponce S, Iglesias M, Fernandez-Masip JL, Vivancos A, Whissell G, Huma M, Peiro N, Gallego L, Jonkheer S, Davy A, Lloreta J, Sancho E, et al. EphB-ephrin-B interactions suppress colorectal cancer progression by compartmentalizing tumor cells. Nat Genet. 2007; 39:1376–1383.

45. Park S, Frisen J, Barbacid M. Aberrant axonal projections in mice lacking EphA8 (Eek) tyrosine protein kinase receptors. EMBO J. 1997; 16:3106–3114.

46. Holland SJ, Peles E, Pawson T, Schlessinger J. Cell-contact-dependent signalling in axon growth and guidance: Eph receptor tyrosine kinases and receptor protein tyrosine phosphatase beta. Curr Opin Neurobiol. 1998; 8:117–127.

47. Gu C, Park S. The EphA8 receptor regulates integrin activity through p110gamma phosphatidylinositol-3 kinase in a tyrosine kinase activity-independent manner. Mol Cell Biol. 2001; 21:4579–4597.

48. Xu Y, Wang C, Zhang Y, Jia L, Huang J. Overexpression of MAGE-A9 Is Predictive of Poor Prognosis in Epithelial Ovarian Cancer. Sci Rep. 2015; 5:12104.

49. Detre S, Saclani Jotti G, Dowsett M. A “quickscore” method for immunohistochemical semiquantitation: validation for oestrogen receptor in breast carcinomas. J Clin Pathol. 1995; 48:876–878.

50. Huang J, Fan X, Wang X, Lu Y, Zhu H, Wang W, Zhang S, Wang Z. High ROR2 expression in tumor cells and stroma is correlated with poor prognosis in pancreatic ductal adenocarcinoma. Sci Rep. 2015; 5:12991.

51. Lu C, Wang X, Zhu H, Feng J, Ni S, Huang J. Over-expression of ROR2 and Wnt5a cooperatively correlates with unfavorable prognosis in patients with non-small cell lung cancer. Oncotarget. 2015; 6:24912–24921. doi: 10.18632/oncotarget.4701.


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