Wei-Peng He1, Li-Li Wang2. 1. Department of Gynecology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510080, P.R. China. 2. State Key Laboratory of Oncology in South China, Cancer Center, Sun Yat-Sen University, Guangzhou, Guangdong 510060, P.R. China.
Ovarian carcinoma is one of the most lethal malignancies of the female reproductive system worldwide (1,2). The incidence of ovarian carcinoma has gradually increased in Asian countries, particularly in Japan (from 3.6 to 6.5%) in recent years (3). Despite recent advances in surgical techniques and medical management (4–6), the long-term prognosis of patients with ovarian carcinoma remains unsatisfactory. Furthermore, due to the lack of early diagnostic methods and characteristic symptoms, most patients with ovarian carcinoma are diagnosed at advanced clinical stages [stages III and IV according to the International Federation of Gynecology and Obstetrics (FIGO)] and have therefore a poor prognosis. The overall 5-year survival rate of patients with ovarian carcinoma is ~20% (7). It is therefore crucial to determine novel biomarkers suitable for tumor early detection, prediction of tumor behavior and targeted therapy.AGBL2 is a cytoplasmic carboxypeptidase that catalyzes microtubule (MT) detyrosination (8). MTs are polarized polymers comprising α/β tubulin heterodimers (9). Multiple posttranslational modifications on tubulins, including detyrosination, can regulate the stability of MTs (10). MT detyrosination, which targets the C-terminal tyrosine residual of α-tubulin and increases MT stability (11), is frequently observed in human malignances, such as neuroblastomas, breast cancer and prostate cancer (12–14). In cancer cells, detyrosinated tubulins assemble to form an invasive front and microtentacles (15,16). Furthermore, detyrosinated tubulins are more resistant to microtubule-targeting agents (17). Previous studies demonstrated that AGBL2 promotes tumorigenesis and cancer progression in breast cancer, prostate cancer and hepatocellular carcinoma (8,18) and could be considered as a potential biomarker for lymph node metastasis and chemotherapy resistance in breast cancer (19). In addition, AGBL2 promotes hepatocellular carcinoma cancer cell growth via IRGM-regulated autophagy. After knockdown of IRGM, AGBL2-induced up-regulation of the crucial members in autophagy (i.e. LC3A/B, ATG5, ATG12 and ATG3) was mainly abolished (18).AGBL2 expression and its clinical and prognostic relevance in ovarian carcinomas have not yet been elucidated. In the present study, expression status of AGBL2 protein was detected by immunohistochemistry (IHC) in a series of ovarian cancer specimens. Furthermore, the clinicopathological and prognostic significance of AGBL2 protein expression in ovarian carcinoma tissues was evaluated. To the best of our knowledge, the present study was the first to provide novel insights into the role of AGBL2 in the development and progression of ovarian carcinoma.
Materials and methods
Patients and tissue specimens
Archived paraffin-embedded cancer specimens were obtained from 268 patients who underwent initial surgical resection between June 2002 and June 2010. All samples, including 30 normal ovarian tissues, 35 cystadenoma tissues, 38 borderline ovarian tumors tissues and 165 invasive ovarian carcinoma tissues, were collected from the archives of the Department of Pathology from the Cancer Center and the First Affiliated Hospital (Sun Yat-Sen University). No patient had received preoperative chemoradiation therapy and all patients had completed clinical follow-up (up to December 2016), of which data were available for review in this study. Patients with incomplete clinical follow-up data or who died from unknown causes were excluded from the study. In addition, patient survival time data and clinicopathological characteristics were collected. The age of the 165 patients diagnosed with primary ovarian carcinoma ranged from 19 to 85 years (mean age, 51.0 years) and their clinicopathological characteristics are presented in Table I. Patients provided informed consent and the study was approved by the Institute Research Medical Ethics Committee of Sun Yat-Sen University.
Table I.
Association between AGBL2 expression and the clinicopathological characteristic of 165 patients with ovarian carcinoma.
AGBL2 protein
Variable
Number of cases, n
Low expression, n (%)
High expression, n (%)
P-value[a]
Age at surgery, years
0.764
≤51.0[b]
88
54 (61)
34 (39)
>51.0[b]
77
49 (64)
28 (36)
Histological type
0.659
Serous
109
69 (63)
40 (37)
Mucinous
19
13 (68)
6 (32)
Others[c]
37
21 (57)
16 (43)
Histological grade (Silveberg)
0.040
G1
28
22 (79)
6 (21)
G2
96
61 (64)
35 (36)
G3
41
20 (49)
21 (51)
pT status
0.025
pT1
43
34 (79)
9 (21)
pT2
34
21 (62)
13 (38)
pT3
88
48 (55)
40 (45)
pN status
<0.001
pN0
81
62 (77)
19 (23)
pN1
84
41 (49)
43 (51)
pM status
0.003
pMX
140
94 (67)
46 (33)
pM1
25
9 (36)
16 (64)
FIGO stage
<0.001
I
29
25 (86)
4 (14)
II
20
16 (80)
4 (20)
III
91
53 (58)
38 (42)
IV
25
9 (36)
16 (64)
χ2 test
Mean age
Endometrioid, clear cell and undifferentiated types. AGBL2, ATP/GTP binding protein like 2; FIGO, International Federation of Gynecology and Obstetrics.
Construction of tissue microarrays (TMA)
Tissue microarrays were constructed as previously described (20,21). Paraffin-embedded tissue blocks and the corresponding histological hematoxylin and eosin (H&E) stained slides were overlaid for TMA sampling construction. Typical lesions (cancer-rich) were identified by a senior pathologist. Corresponding histological H&E stained slide of each paraffin-embedded tissue was examined under a BX-60 optical microscope (Olympus Corporation) and marked for representative areas of tumor tissues. Subsequently, a tissue microarray instrument (Beecher Instruments, Inc.) was used to obtain tissue cylinders of ~0.6-mm in diameter from selected cancer areas of patient tissue. These sections were then re-embedded into a recipient paraffin block with hollow presets. TMA block was then cut into slices (5 µm thick) and mounted onto microscope slides.
IHC staining
IHC staining was performed using a standard streptavidin-biotin-peroxidase complex method as previously described (22). Briefly, tissue sections were deparaffinized and rehydrated in an ethanol gradient (100, 90, 75 and 50%). The endogenous peroxidase activity was blocked with 3% H2O2 at room temperature for 10 min. Slides were immersed in 10 mM citrate buffer (pH 8.0) and boiled for 3 min in a pressure cooker for antigen retrieval. Non-specific binding was blocked with 5% normal goat serum (OriGene Technologies, Inc.) for 10 min at room temperature. Slides were incubated with polyclonal primary antibodies against AGBL2 (1:50; cat. no. HPA007718; Abcam), IRGM (1:200; cat. no. ab69494; Abcam) and LC3A/B (1:100; cat. no. 12741; CST Biological Reagents Co., Ltd.) at 4°C overnight in a moist chamber. Slides were then incubated with biotinylated goat anti-mouse immunoglobulin G (IgG) antibody (1:100; cat. no. sc-516102; Santa Cruz Biotechnology, Inc.) for 30 min at room temperature followed by a streptavidin-peroxidase conjugate also for 30 min at room temperature. Isotope-matched human IgG was used in each case as a negative control. The 3,5-diaminobenzidine Substrate kit (Dako; Agilent Technologies, Inc.) was used for color development followed by Mayer hematoxylin counterstaining. Slides were counterstained with 10% Mayer's hematoxylin for 1 min. AGBL2 staining was evaluated according to previously described protein expression criteria (14).
Statistical analysis
Statistical analysis was carried out using SPSS statistical software version 20.0 (IBM Corp.). The association between AGBL2 expression and clinicopathological features of patients with ovarian carcinoma was assessed using the χ2-test or Fisher's exact test. For univariate survival analysis, survival curves were obtained through the Kaplan-Meier method. Log rank test was used to compare different survival curves. Multivariate survival analysis was carried out on all parameters that were found to be significant following univariate analysis by using Cox regression model. The differences between the clinicopathological characteristics and survival predictions were estimated using receiver operating characteristic curve (ROC) analysis. P<0.05 was considered to indicate a statistically significant difference.
Results
AGBL2 expression in ovarian tissues
The results from IHC demonstrated that AGBL2 positive staining was mainly detected in the cytoplasm of ovarian epithelial cells; however, AGBL2 was occasionally visible in the nuclear (Fig. 1). High expression of AGBL2 was observed in 62/165 (38%) of ovarian carcinomas (Fig. 1D), in 8/38 (21%) of borderline tumors and in 3/35 (9%) of cystadenomas (Fig. 1C), but not in normal ovarian tissues (Fig. 1B). In addition, the results demonstrated that the increased frequency of highly expressed AGBL2 in ovarian carcinomas was statistically significant (P<0.01; Table II) compared with AGBL2 expression in benign and borderline tumors.
Figure 1.
Immunohistochemical staining of AGBL2 in human ovarian tissues and of IRGM and LC3A/B in epithelial ovarian cancer tissue. (A) Negative control was obtained by incubating tissue with normal IgG. Magnification, ×100. Scale bar, 10 µm. (B) Negative expression of AGBL2 was observed in the surface epithelium of normal ovarian tissue. Magnification, ×100. Scale bar, 10 µm. (C) Ovarian cystadenoma presented low AGBL2 expression (10% of tumor cells showed moderate positive staining). Magnification, ×100. Scale bar, 10 µm. (D) High AGBL2 expression was detected in ovarian carcinoma tissue (case 52; >90% of carcinoma cells showed strong positive). Magnification, ×200. Scale bar, 10 µm. High expression of (E) IRGM and (F) LC3A/B in ovarian carcinoma (case 52; >90% of carcinoma cells showed strong positive staining for these two proteins). Magnification, ×400. Scale bar, 10 µm. AGBL2, ATP/GTP binding protein like 2; IRGM, immunity related GTPase M.
Table II.
AGBL2 expression in normal ovarian tissues and in benign and malignant epithelial ovarian tumor tissues.
AGBL2 protein
Tissue type
Number of cases, n
Low expression, n (%)
High expression, n (%)
Normal ovaries
30
30 (100)
0 (0)
Cystadenomas
35
32 (91)
3 (9)
Borderline tumors
38
30 (79)
8 (21)
Invasive carcinomas
165
103 (62)
62 (38)
A significant increasing frequency of high expression of AGBL2 was observed in cystadenomas, in borderline tumors and in invasive carcinomas (P<0.01, χ2-test for trend).
Association of AGBL2 expression with the clinicopathologic characteristics and survival of patients with ovarian carcinoma
Following AGBL2 expression analysis, the clinicopathological significance of highly expressed AGBL2 in patients with ovarian carcinoma was analyzed. The results demonstrated that high AGBL2 expression was positively associated with high histological grade, advanced pathological tumor-node-metastasis (pT/pN/pM) status and FIGO stage in patients with ovarian carcinoma (P<0.05; Table I). No significant association was observed between AGBL2 expression and other clinicopathological characteristics, including the patient age and tumor histological type (P>0.05; Table I).The cumulative survival curves using Kaplan-Meier method for univariate survival analysis were calculated, and the differences in survival times were analyzed by the log-rank test. The results demonstrated that the prognostic predictors of patient survival, including tumor histological grade (P=0.001), pT/pN/pM status (P<0.01) and FIGO stage (P<0.001), had a significant impact on patient prognosis (Table III), which confirmed that the cohort of patients presented in the present study was representative of the general population with ovarian carcinoma. Subsequently, the impact of AGBL2 expression level on the survival of patients with ovarian carcinoma was analyzed. The results revealed that the mean survival time of patients with ovarian carcinoma and high AGBL2 expression was of 46.4 months, which was significantly shorter than the 91.2 months for patients with low AGBL2 expression (P<0.001; Table III; Fig. 2).
Table III.
Analysis of the clinicopathological characteristics and AGBL2 expression for the prognosis of 165 patients with ovarian carcinoma by univariate survival analysis (log-rank test).
Variable
Number of cases, n
Mean survival, months
Median survival, months
P-value
Age at surgery, years
0.949
≤51.0[a]
88
76.6
64.0
>51.0[a]
77
63.9
62.0
Histological type
0.528
Serous
109
64.6
52.0
Mucinous
19
72.5
70.0
Others[c]
37
97.6
NR[b]
Histological grade (Silveberg)
0.001
G1
28
110.1
NR
G2
96
73.3
64.0
G3
41
43.6
28.0
pT status
0.001
pT1
43
111.8
NR
pT2
34
76.8
66.0
pT3
88
55.9
34.0
pN status
<0.001
pN0
81
89.1
128.0
pN1
84
52.5
30.0
pM status
<0.001
pMX
140
85.3
128.0
pM1
25
22.1
13.0
FIGO stage
<0.001
I
29
134.2
NR
II
20
107.6
NR
III
91
60.3
36.0
IV
25
22.1
13.0
AGBL2 expression
<0.001
Low expression
103
91.2
128.0
High expression
62
46.4
22.0
Mean age
Not reached
Endometrioid, cear cell and undifferentiated types. AGBL2, ATP/GTP binding protein like 2; FIGO, International Federation of Gynecology and Obstetrics.
Figure 2.
Kaplan-Meier survival analysis of AGBL2 expression in 165 patients with invasive ovarian carcinoma (log-rank test). The overall survival and probability of survival of patients with ovarian carcinoma were investigated. High expression of AGBL2, n=62; low expression of AGBL2, n=103 (P<0.001). AGBL2, ATP/GTP binding protein like 2.
In order to determine whether the variables exhibiting prognostic influence following univariate analysis were covariates, the expression of AGBL2 and other significant clinicopathological characteristics, including tumor histological grade, pT/pN/pM status, and FIGO stage, were assessed with multivariate analysis (Table IV). Multivariate Cox regression analysis revealed that AGBL2 expression (P=0.004), pN status (P=0.034) and FIGO stage (P<0.001) were independent prognostic factors for poor overall survival (Table IV).
Table IV.
Multivariate analysis of the overall survival of patients with ovarian carcinoma (Cox regression model).
Variable
Relative risk
95% confidence interval
P-value
AGBL2[a]
2.052
1.262–3.337
0.004
pN status[b]
1.727
1.042–2.861
0.034
FIGO stage[c]
3.169
2.161–4.646
0.000
High expressin vs. low expression
pN1 vs. pN0
Stage IV vs. stage III vs. stage II vs. stage I. AGBL2, ATP/GTP binding protein like 2; FIGO, International Federation of Gynecology and Obstetrics.
ROC can maximize both sensitivity and specificity for the outcome and can therefore highlight the point on the curve closest to (0.0, 1.0) for each clinicopathologic characteristic. In order to evaluate the patient survival status, ROC curve analysis was performed for each clinicopathologic characteristic and AGBL2 expression (area under the curve =0.645; P=0.001; Fig. 3).
Figure 3.
Receiver operating characteristic curve analysis on different clinicpathological characteristics and AGBL2 expression was performed to evaluate survival status of patients with ovarian carcinoma. AGBL2 protein expression (AUC=0.645; P=0.001), International Federation of Gynecology and Obstetrics stage (AUC=0.755; P<0.001), pT (AUC=0.648; P=0.001), pN (AUC=0.591; P=0.045), pM (AUC=0.617; P=0.011), pathological grading (AUC=0.633; P=0.004) were significantly associated with patients survival. AGBL2, ATP/GTP binding protein like 2; AUC, area under the curve.
Association between AGBL2, IRGM and LC3A/B expression in patients with ovarian carcinoma
A recent study reported that AGBL2 participates in tumorigenesis through IRGM-regulated autophagy (18). The potential association between AGBL2 expression and IRGM and LC3A/B expression was therefore assessed by IHC in tissues from patients with ovarian carcinoma (Fig. 1D-F). The results demonstrated that AGBL2 expression level was significantly associated with IRGM (P=0.013) and LC3A/B (P=0.004) expression level. In addition, IRGM expression level was positively associated with LC3A/B expression level (P=0.023; Table V).
Table V.
Association between AGBL2 expression and IRGM and LC3A/B expression in ovarian carcinoma tissues.
IRGM expression
LC3A/B expression
Expression level
Number of cases, n
Low, n (%)
High, n (%)
P-value[a]
Low, n (%)
High, n (%)
P-value[a]
AGBL2 expression
0.013
0.004
Low
103
35 (34)
68 (66)
65 (63)
38 (37)
High
62
10 (16)
52 (84)
25 (40)
37 (60)
LC3A/B expression
0.023
Low
90
31 (34)
59 (66)
High
75
14 (19)
61 (81)
χ2 test. ATP/GTP binding protein like 2; IRGM, immunity related GTPase M.
Discussion
Epithelial ovarian cancer is the most lethal gynecological malignancy in postmenopausal women (4). Although remarkable efforts have been made to improve treatment modalities, ovarian carcinoma remains the primary cause of gynecological cancer-associated mortality (5). It is therefore crucial to identify novel therapeutic approaches and targets to improve early diagnosis and patient outcome.Recent reports have verified that AGBL2 catalyzes MT detyrosination and promotes tumorigenesis and cancer progression (8). However, to date, the expression status of AGBL2 and its clinicopathological significance in ovarian carcinomas has not been elucidated (12–14). In the present study, IHC was used to investigate whether an abnormal AGBL2 expression could be involved in the pathogenesis of ovarian carcinoma. By using a large cohort of ovarian tissues, including normal, benign and borderline epithelial ovarian tumor tissues, and malignant epithelial cancers, the results demonstrated that AGBL2 high expression level was consistent with ovarian tumor malignancy. AGBL2 was more frequently highly expressed in ovarian carcinomas, compared within benign and borderline tumors. Furthermore, high AGBL2 expression was associated with high histological grade and advanced clinical stage (pT/pN/pM and FIGO stage). These results confirmed that AGBL2 could serve a crucial role in tumorigenesis promotion of ovarian carcinoma. Previous studies demonstrated that AGBL2 high expression is a prognostic marker of cancer and is associated with poor clinical outcome in patients with hepatocellular carcinoma and breast cancer (18,19). Similarly, the results from this study indicated that AGBL2 high expression could predict poor overall survival in patients with ovarian carcinomas, and that AGBL2 may be considered as an independent prognostic marker. Altogether, these findings suggest that AGBL2 high expression may serve as a reliable prognosis biomarker in patients with ovarian carcinoma. Subsequently, IHC staining of AGBL2 may be used as an additional tool to identify whether patients with ovarian carcinoma could have an increased risk of tumor metastasis and/or a poor prognosis.A recent study reported that AGBL2 stimulates autophagy by regulating IRGM and therefore promote cancer cell proliferation (18). The potential association between AGBL2 expression and IRGM and LC3A/B expression was therefore evaluated by IHC in tissues from patients with ovarian carcinoma. The results demonstrated that AGBL2 expression level was significantly associated IRGM and LC3A/B expression level in ovarian carcinoma tissues. Furthermore, IRGM expression level was positively associated with LC3A/B expression level. These findings indicated that AGBL2 might also regulate autophagy by modulating IRGM in ovarian carcinoma. A previous study reported that inhibition of PI3K/AKT/mTOR and the Ras/MAPK signaling pathways, which are involved in autophagy activation, can limit the development of ovarian cancer (23). The results from the present study identified a potential molecular mechanism for the oncogenic role of AGBL2 in ovarian carcinoma pathogenesis, and suggested that AGBL2 may enhance autophagy to support the malignant phenotype of cancer cells. However, this study was a retrospective study, and fresh tissue samples were only rarely collected. The limitation of this study was the exclusive use of IHC to determine AGBL2, IRGM and LC3A/B expression levels. Future studies incorporating western blotting, reverse-transcription-quantitative PCR and cell line experiments are required for further investigation.In conclusion, the present study was the first to investigated AGBL2 expression in a large cohort of normal human ovarian tissue, and in benign, borderline and malignant epithelial ovarian tumors tissues by IHC. The results demonstrated that AGBL2 expression was upregulated in tumor tissues and may therefore serve as a novel, reliable and independent prognostic marker in ovarian carcinoma. In addition, these results further confirmed that increased AGBL2 expression may enhance the aggressive behavior of ovarian carcinoma.
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