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PGK1 and GRP78 overexpression correlates with clinical significance and poor prognosis in Chinese endometrial cancer patients

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Oncotarget. 2018; 9:680-690. https://doi.org/10.18632/oncotarget.23090

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Suiqun Guo, Yanyi Xiao, Danqing Li, Qingping Jiang, Litong Zhu, Dan Lin, Huiping Jiang, Wei Chen, Lijing Wang, Chunhua Liu, Weiyi Fang _ and Li Lin

Abstract

Suiqun Guo1,*, Yanyi Xiao1,*, Danqing Li4,*, Qingping Jiang3, Litong Zhu1, Dan Lin1, Huiping Jiang1, Wei Chen1, Lijing Wang1, Chunhua Liu1, Weiyi Fang1,2 and Li Lin1

1Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, 510630, P.R. China

2Cancer Center, Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangzhou, Guangdong, 510315, P.R. China

3Department of Pathology, Third Affiliated Hospital of Guangzhou Medical College, Guangzhou, 510150, P.R. China

4Department of Healthy Management, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, P.R. China

*These authors contributed equally to this work

Correspondence to:

Weiyi Fang, email: [email protected]

Li Lin, email: [email protected]

Keywords: endometrial carcinoma; phosphoglycerate kinase 1; glucose-regulated protein 78; immunohistochemistry; clinicopathological characteristics

Received: October 02, 2017     Accepted: November 16, 2017     Published: December 07, 2017

ABSTRACT

The aim of this study was to measure the expression patterns of PGK1 and GRP78 in normal endometrial tissues and endometrial carcinoma, and associations between their combined effects and the pathological features of endometrial carcinoma. We used 30 normal endometrial tissue samples and 130 endometrial carcinoma samples, and separately evaluated PGK1 and GRP78 protein expression by immunohistochemistry. Scores ranging from 0 to 9 were obtained by multiplying the percentage of positive cells by the staining intensity (0–3). Immunohistochemical analysis revealed increased PGK1 and GRP78 expression in the cytoplasm of endometrial carcinoma cells compared with that in normal endometrial tissues. High PGK1 expression positively correlated with the FIGO stage (P < 0.001), histological grade (P = 0.002), and lymph node status (P < 0.001). High GRP78 expression positively correlated with the pathological type (P = 0.0125), FIGO stage (P < 0.001), and lymph node status (P < 0.001). In addition, PGK1 overexpression was positively correlated with GRP78 overexpression in endometrial carcinoma patients (P < 0.001), and the concurrent expression of both oncogenes in endometrial carcinoma patients correlated significantly with the lymph node status (P < 0.001) and FIGO stage (P < 0.001). Patients with high PGK1 and GRP78 expression levels had poorer overall survival rates than those with low expression levels of both proteins (P < 0.001). Our results suggested that the co-occurrence of PGK1 and GRP78 expression is potentially an unfavorable factor for endometrial carcinoma progression.


INTRODUCTION

Endometrial cancer is the most common gynecological tumor in developed countries, and its incidence continues to increase [1]. Despite improved overall survival rates, the incidence of endometrial carcinoma has risen by 40% over the past 20 years and associated deaths have risen by 20%, primarily because its etiopathogenesis is complicated and not fully understood [2]. Understanding pathogenesis at the molecular level is essential for identifying useful biomarkers for use in targeted therapies [3].

Accumulated evidence demonstrates that aberrant glucose metabolism, termed the “Warburg effect,” in cancer cells is closely associated with malignant phenotypes [4]. According to the biological information database String (Figure 1), we looked at the related genes in a network of glucose metabolism: PGAM2, TPI1, PGAM1, GAPDHS, GAPDH, ENO3, ENO1, ENO1, ENO1, ENO1, HSPA5 (GRP78), CANX and PGK1. In the preliminary experiment, we tested the proteins expressed from the above genes in the clinicopathological tissue samples and found that the PGK1 and GRP78 was highly expressed in the endometrial carcinoma samples compared with the normal endometrium samples, which is consistent with data obtained from the GCBI (Figure 2).

The related genes in a network of glucose metabolism, as predicted using the STRING network.

Figure 1: The related genes in a network of glucose metabolism, as predicted using the STRING network.

PGK1 and GRP78 expression in tumor tissues and normal tissues.

Figure 2: PGK1 and GRP78 expression in tumor tissues and normal tissues. The data shown were obtained from the GCBI. BRCA: breast-invasive carcinoma, CESC: cervical squamous cell carcinoma and endocervical adenocarcinoma, GBM: glioblastoma multiforme, LUAD: lung adenocarcinoma, LUSC: lung squamous cell carcinoma, UCEC: uterine corpus endometrial carcinoma.

PGK1, the first ATP-generating enzyme in the glycolytic pathway, catalyzes the transfer of the high-energy phosphate from the 1-position of 1,3-bisphosphoglycerate (1,3-BPG) to ADP, which leads to the generation of 3-phosphoglycerate (3-PG) and ATP [5]. PGK1 expression is upregulated in human breast cancer, pancreatic ductal adenocarcinoma, radio-resistant astrocytoma, metastatic gastric cancer, and hepatocellular carcinoma cells [610]. However, no reports have described the role of PGK1 in endometrial carcinoma.

GRP78, a molecular chaperone in the endoplasmic reticulum (ER), is also found in the tumor cell plasma membrane, cytoplasm, mitochondria, nucleus, and in cellular secretions [11, 12]. GRP78 protein is usually highly induced in poorly perfused solid tumors by microenvironmental factors, including hypoxia, acidosis, and glucose deprivation. High levels of GRP78 contribute to the acquisition of phenotypic cancer hallmarks, including apoptosis resistance, immune escape, metastasis, and angiogenesis [13]. Recent research showed high expression of GRP78 to be associated with endometrial carcinoma [14, 15], However, whether GRP78 is involved in the clinicopathological characteristics and prognosis of endometrial carcinoma remains to be addressed.

RESULTS

PGK1 expression in normal endometria and endometrial carcinoma

We measured PGK1 protein-expression levels and localization in 130 endometrial carcinoma samples and 30 normal endometrial tissues by immunohistochemical staining (Figure 3). PGK1 expression was observed mostly in the cytoplasm of normal tissues and both in the cytoplasm and nucleus of tumor cells. In FIGO stages II–III, intense nuclear staining and weak cytoplasmic staining were observed. In addition, the PGK1 protein was highly expressed in 44.6% (58/130) of endometrial carcinoma samples, compared with only 10.0% (3/30) of normal samples, which was significantly lower than that in the endometrial carcinoma samples (P < 0.001) (Table 1).

PGK1 and GRP78 expression in endometrial carcinoma and normal endometrial tissues were examined by immunohistochemistry.

Figure 3: PGK1 and GRP78 expression in endometrial carcinoma and normal endometrial tissues were examined by immunohistochemistry. Negative expression of PGK1 (A) and GRP78 (D) was demonstrated in a normal endometrial sample (200×). Light yellow PGK1 (B) and GRP78 (E) staining was observed in the cytoplasm of a stage I endometrial carcinoma case (200×). Brown PGK1 (C) staining was observed in the cytoplasm and nucleus of a stage II–III endometrial carcinoma case (200×), and brown GRP78 (F) staining was observed in the cytoplasm of a stage II–III endometrial carcinoma case.

Table 1: Expression levels of PGK1 and GRP78 in normal endometrial tissues and endometrial carcinoma samples

Variables

PGK1 (%)

GRP78 (%)

N

Low

High

P

N

Low

High

P

Tumor

130

72 (55.4)

58 (44.6)

0.000

130

70 (53.8)

60 (46.2)

0.003

Normal

30

27 (90.0)

3 (10.0)

30

25 (83.3)

5 (16.7)

GRP78 expression in normal endometrium and endometrial carcinoma

We measured the expression and subcellular localization of the GRP78 protein in 30 normal endometrial tissue samples and 130 endometrial carcinoma samples by immunohistochemical staining (Figure 3). GRP78 immunohistochemical staining was predominantly localized to the cytoplasm of noncancerous and neoplastic tissues. Moreover, we observed that the GRP78 protein was highly expressed in 46.2% (60/130) of endometrial carcinoma samples. In comparison, only 16.7% (5/30) of normal endometrial samples had high GRP78 protein expression, which was significantly lower than that in the endometrial carcinoma samples (P = 0.003) (Table 1).

Association between clinicopathological characteristics and PGK1 expression in endometrial carcinoma patients

As shown in Table 2, PGK1 overexpression was positively correlated with the tumor clinical stage (I vs. II–III; P < 0.001), pathological type (adenocarcinoma vs. others; P = 0.007), histological grade (G1 vs. G2 vs. G3; P = 0.002), and lymph node metastasis (negative vs. positive; P < 0.001). Furthermore, we did not find significant differences between PGK1 expression and patient age, depth of myometrial invasion, or menopausal status in the 130 endometrial carcinoma cases.

Table 2: Correlations between PGK1 and GRP78 expression and clinicopathological parameters

Characteristics

PGK1 (%)

GRP78 (%)

N

Low

High

P

N

Low

High

P

Age

  <50

43

22 (51.2)

21 (48.8)

0.575

43

21 (48.8)

22 (51.2)

0.458

  ≥50

87

50 (57.5)

37 (42.5)

87

49 (56.3)

38 (43.7)

Pathological type

  Adenocarcinoma

100

62 (62.0)

38 (38.0)

0.007

100

60 (60.0)

40 (40.0)

0.0125

  Others

30

10 (33.3)

20 (66.7)

30

10 (33.3)

20 (66.7)

Histological grading

  G1

56

37 (66.1)

19 (33.9)

0.002

56

36 (64.3)

20 (35.7)

0.019

  G2

58

31 (53.4)

27 (46.6)

58

30 (51.7)

28 (48.3)

  G3

16

4 (25.0)

12 (75.0)

16

4 (25.0)

12 (75.0)

Depth of myometrial invasion

  <50%

92

55 (59.8)

37 (40.2)

0.126

92

52 (56.5)

40 (43.5)

0.439

  ≥50%

38

17 (44.7)

21 (55.3)

38

18 (47.4)

20 (52.6)

Lymph node status

  Negative

112

71 (63.4)

41 (36.6)

0.000

112

69 (61.6)

43 (38.4)

0.000

  Positive

18

1 (5.6)

17 (94.4)

18

1 (5.6)

17 (94.4)

FIGO stage

  I

99

68 (68.7)

31 (31.3)

0.000

99

64 (64.6)

35 (35.4)

0.000

  II–III

31

4 (12.9)

27 (87.1)

31

6 (19.4)

25 (80.6)

Menopausal status

  Premenopausal

70

39 (55.7)

31 (44.3)

1.000

70

37 (52.9)

33 (47.1)

0.861

  Postmenopausal

60

33 (55.0)

27 (45.0)

60

33 (55.0)

27 (45.0)

FIGO, the International Federation of Gynecology and Obstetrics; G1, well differentiated; G2, moderately differentiated; G3 poorly differentiated. P values were determined by the χ2 test. The other pathological types include uterine papillary serous carcinoma, clear cell carcinoma, adenosquamous carcinoma, among others.

Association between the clinicopathological characteristics and GRP78 expression in endometrial carcinoma patients

Clinicopathological characteristics and GRP78 expression levels in individuals with endometrial carcinoma are summarized in Table 2. We observed that the expression level of GRP78 was positively correlated with FIGO stage (I vs. II–III; P < 0.001), pathological type (adenocarcinoma vs. others; P = 0.0125), histological grade (G1 vs. G2 vs. G3; P = 0.019), and lymph node metastasis (negative vs. positive; P < 0.001) in endometrial carcinoma patients. However, we did not find a significant association of GRP78 expression levels with patient age, depth of myometrial invasion, or menopausal status in the 130 endometrial carcinoma cases.

Association between PGK1 and GRP78 expression in endometrial carcinoma patients

As shown in Table 3, Spearman’s test demonstrated that PGK1 expression was positively correlated with GRP78 expression in the endometrial carcinoma patients (P < 0.001). As summarized in Table 4, the association between the co-expression levels of both proteins with the FIGO stage (I vs. II–III; P < 0.001), pathological type (adenocarcinoma vs. others; P = 0.005), histological grade (G1 vs. G2 vs. G3; P = 0.010), and lymph node metastasis (negative vs. positive; P < 0.001) was significant in endometrial carcinoma patients. However, significant association were not observed with the patient age, depth of myometrial invasion, or menopausal status.

Table 3: Correlation between the expression of PGK1 and GRP78 in endometrial carcinoma patients

Variables

PGK1 (%)

N

Low expression

High expression

r

P

GRP78

Low expression

70

63 (90.0)

7 (10.0)

0.752

<0.001

High expression

60

9 (15.0)

51 (85.0)

P values were determined by the Pearson test.

Table 4: Co-expression of PGK1 and GRP78 in endometrial carcinoma

Characteristics

PGK1 &GRP78

N

LL

HH

P

Age

  <50

40

20 (50.0)

20 (50.0)

0.435

  ≥50

74

43 (58.1)

31 (41.9)

Pathological type

  Adenocarcinoma

90

56 (62.2)

34 (37.8)

0.005

  Others

24

7 (29.2)

17 (70.8)

Histological grading

  G1

51

34 (66.7)

17 (33.3)

0.010

  G2

49

26 (53.1)

23 (46.9)

  G3

14

3 (21.4)

11 (78.6)

Depth of myometrial invasion

  <50%

80

42 (52.5)

38 (47.5)

0.414

  ≥50%

34

21 (61.8)

13 (38.2)

Lymph node status

  Negative

98

63 (64.3)

35 (35.7)

0.000

  Positive

16

0 (0.0)

16 (100.0)

FIGO stage

  I

87

60 (69.0)

27 (31.0)

0.000

  II-III

27

3 (11.1)

24 (88.9)

Menopausal status

  Premenopausal

60

33 (55.0)

27 (45.0)

0.551

  Postmenopausal

54

30 (55.6)

24 (44.4)

FIGO, the International Federation of Gynecology and Obstetrics; G1, well differentiated; G2, moderately differentiated; G3 poorly differentiated; HH, high expression of PGK1 and GRP78; LL, low expression of PGK1 and GRP78. P values were determined by the χ2 test.

High expression of PGK1 and GRP78 is associated with overall survival time in endometrial carcinoma

To investigate the prognostic value of PGK1 and GRP78 expression for endometrial carcinoma, we assessed the association between PGK1 and GRP78 expression levels and patient survival using Kaplan–Meier analysis with the log-rank test. In 130 endometrial carcinoma cases with prognosis information, the levels of PGK1 and GRP78 expression significantly correlated with overall survival. Patients with high PGK1 and GRP78 expression had worse prognoses than those with low expression of these proteins (Figure 4) (P < 0.001).

Kaplan&#x2013;Meier survival analysis of overall survival duration in 130 endometrial carcinoma patients according to PGK1 and GRP78 protein expression.

Figure 4: Kaplan–Meier survival analysis of overall survival duration in 130 endometrial carcinoma patients according to PGK1 and GRP78 protein expression. The log-rank test was used to calculate P values.

High expression of GRP78 is an independent prognostic factor for endometrial carcinoma patients

Univariate analyses showed that FIGO stage, histological grade, lymph node status, high PGK1 expression, high GRP78 expression, postoperative irradiation, and postoperative chemotherapy were also significantly correlated with patient survival ( P < 0.001, P = 0.001, P < 0.001, P < 0.001, P < 0.001, P = 0.042, and P = 0.003, respectively). To determine whether PGK1 and GRP78 are independent prognostic factors for endometrial carcinoma, we performed multivariate analysis of PGK1 and GRP78 protein expression levels, adjusted for career, FIGO stage, histological grading, lymph node status, postoperative irradiation, and postoperative chemotherapy of endometrial carcinoma patients. These results showed that the level of GRP78 expression was an independent prognostic factor for endometrial carcinoma patients (P = 0.004), whereas PGK1 expression was not (P = 0.077) (Table 5).

Table 5: Summary of univariate and multivariate Cox regression analysis of overall survival duration

Parameter

Univariate analysis

Multivariate analysis

P

HR

95% CI

P

HR

95% CI

Age

 <50 versus ≥50

0.220

1.514

0.780–2.938

Family history of tumor

 Negative versus positive

0.950

0.972

0.405–2.336

Health insurance

 No versus yes

0.166

0.613

0.306–1.226

Menopausal status

 Premenopausal versus postmenopausal

0.483

1.264

0.657–2.430

Complications

 With versus without

0.233

1.497

0.772–2.904

FIGO stage

 I versus II + III

<0.001

12.882

6.318–26.266

0.001

7.085

2.308–21.750

Histological grade

 G1 versus G2 versus G3

0.001

2.335

1.444–3.776

0.001

2.509

1.471–4.277

Lymph node status

 Negative versus positive

<0.001

14.899

7.264–30.562

0.010

4.497

1.424–14.199

Depth of myometrial invasion

 <50% versus ≥50%

0.821

1.085

0.534–2.206

GRP78 expression

 Low versus high

<0.001

18.067

5.516–59.169

0.004

7.274

1.869–28.309

PGK1 expression

 Low versus high

<0.001

19.672

6.005–64.445

0.077

3.250

0.882–11.977

Postoperative irradiation

 Yes versus no

0.042

2.141

1.029–4.453

0.797

1.126

0.456–2.785

Postoperative chemotherapy

 Yes versus no

0.003

2.722

1.397–5.307

0.797

0.884

0.345–2.266

Postoperative hormone therapy

 Yes versus no

0.125

0.573

0.282–1.166

Receiver operating characteristic (ROC) analysis of the combined expression of PGK1 and GRP78 for prognosis

ROC analysis was performed to evaluate the efficacy of the protein markers. The area under the curve (AUC) was 0.815 using GRP78 expression as a predictive model (95% CI: 0.737–0.893; P < 0.001) and 0.825 using PGK1 expression (95% CI: 0.749–0.902; P < 0.001). To generate a more sensitive predictive model for patient outcomes, we combined PGK1 expression and GRP78 expression to create a prognostic scoring system. The combination improved the prognostic value; the AUC was 0.858 (95% CI: 0.788–0.927; P < 0.001), which was larger than that of GRP78 expression or PGK1 expression alone (Figure 5). The C-index was 0.815 when assessed by GRP78 expression alone, and it increased to 0.858 when PGK1 expression was added.

ROC analysis for the predictive value of PGK1 and GRP78 expression in patients with endometrial carcinoma.

Figure 5: ROC analysis for the predictive value of PGK1 and GRP78 expression in patients with endometrial carcinoma.

DISCUSSION

In this study, we systematically examined the expression levels of PGK1 and GRP78 in normal endometrium and endometrial carcinoma tissues, and analyzed the correlations between the expression of these markers and clinicopathological parameters.

PGK1 is the first ATP-generating enzyme in the glycolytic pathway. It catalyzes the reversible conversion of 1,3-BPG and ADP to 3-phosphoglycerate and ATP, respectively [1821]. Many studies have shown that PGK1 acts as a protein kinase in coordinating glycolysis and autophagy, which is instrumental in cancer metabolism and tumorigenesis [2225]. To our knowledge, this is the first study to measure PGK1 expression by immunohistochemical staining in endometrial carcinoma and normal endometrium tissues, and demonstrate an association between PGK1 expression and the clinical features of endometrial carcinoma. We found that PGK1 expression in endometrial carcinoma tissues was higher than that in normal endometrium tissues, consistent with earlier studies [26, 27]. Here, significant associations between high PGK1 expression and FIGO stage, histological grade, pathological type, and lymph node metastasis were identified. Similar to a report on gallbladder cancer [28], we further demonstrated that high PGK1 expression was associated with poor prognosis in endometrial carcinoma patients.

GRP78 resides in the ER, and its expression is induced by an unfolded-protein response triggered under many kinds of cellular stresses. GRP78 can also act as an anti-apoptotic factor by protecting cells against ER stress-induced cell death [29, 30]. Recent research has shown that GRP78 is involved in the biological processes of a variety of tumors [3133]. In our study, we first examined the expression of GRP78 in Chinese endometrial carcinoma patients and found that GRP78 was highly expressed in endometrial carcinoma tissues compared with normal endometrial tissues and that this high expression was associated with the histological grade, lymph node status, FIGO stage, and overall survival time of the endometrial carcinoma patient, consistent with previous studies [34, 35]. Furthermore, we identified GRP78 as an independent prognostic factor for endometrial carcinoma patients.

Ingenuity pathway analysis (IPA) is used to study proteomic data. Xu et al. found that PGK1 and GRP78 are associated in a network by IPA and that they are negatively correlated to type-5 17 beta-hydroxysteroid dehydrogenase in breast cancer cell viability and proliferation [36]. To our knowledge, this is the first study to determine the association between PGK1 and GRP78 expression in endometrial carcinoma. Given that Spearman’s test showed that the PGK1 and GRP78 expression levels were statistically correlated, we examined the association between protein co-expression and clinicopathological parameters. We found that the co-expression of both proteins correlated significantly with the pathological type, histological grade, lymph node status, and FIGO stage. Furthermore, ROC analysis showed that combined ROC analysis of PGK1 and GRP78 could better determine the prognosis of endometrial carcinoma patients.

CONCLUSIONS

In summary, we have shown for the first time that high expression of PGK1 and GRP78 might be involved in the clinical progression and poor prognosis of endometrial carcinoma. Furthermore, our results suggest that high expression of PGK1 and GRP78 might serve as a new clinically significant biomarker for endometrial carcinoma prognosis. Combined PGK1 and GRP78 can improve the assessment with the prognosis of endometrial carcinoma patients. Owing to the limited sample size of patients in our study, further investigations are needed to confirm these findings and establish the role of PGK1 and GRP78 as a reliable clinical predictor for endometrial carcinoma outcomes. Endometrial carcinoma is a multigene-regulatory disease, and we investigated the potential for tumor diagnosis, prognosis, and treatment from a multigene perspective. Our findings suggested that PGK1 expression and GRP78 expression are statistically correlated with each other, and that the inhibition of PGK1 and GRP78 activation could be an effective approach for slowing the disease, providing the foundation for the application of PGK1 and GRP78 inhibitors as a therapeutic strategy in the future.

MATERIALS AND METHODS

Sample collection

From 2003 to 2008, formalin-fixed paraffin-embedded samples of 30 normal endometrial tissue samples and 130 endometrial carcinoma samples were obtained from the Third Affiliated Hospital of Guangzhou Medical School, Guangzhou City, China. All endometrial carcinoma patients underwent surgery, which consisted of diagnostic curettage, total hysterectomy, bilateral salpingo-oophorectomy, and pelvic and para-aortic lymph node sampling when necessary. No patient underwent chemotherapy or radiotherapy before surgery. In the 130 endometrial carcinoma cases, the median age of the patients was 49.6 years (range, 32–82). The clinical follow-up time of patients ranged from 45 to 110 months. Prior consent from the patients and approval from the Ethics Committees of this hospital were obtained before using these clinical materials for research purposes. All specimens had confirmed pathological diagnosis and were staged according to the FIGO 2009 guidelines.

Immunohistochemistry

Two paraffin-embedded sections (3 μm) each from 130 endometrial carcinoma samples and 30 normal endometrium specimens were deparaffinized in 100% xylene and rehydrated in a descending ethanol series (100%, 90%, 80%, and 70% ethanol) and water according to standard protocols. Heat-induced antigen retrieval was performed in 10 mM citrate buffer for 2 min at 100°C. Endogenous peroxidase activity and nonspecific antigens were blocked with peroxidase blocking reagent containing 3% hydrogen peroxide and serum, followed by incubation with goat anti-human polyclonal PGK1 antibody (1:50) (ProteinTech Group, Catalog number 17811-1-AP) and GRP78 (1:50) (ProteinTech Group, Catalog number 11587-1-AP), respectively, overnight at 4°C. Sections were washed and incubated with biotin-labeled rabbit anti-goat antibody for 10 min at room temperature, and were subsequently incubated with streptavidin-conjugated horseradish peroxidase (Maixin, Inc., China, Guangzhou). The peroxidase reaction was developed by using 3,3′-diaminobenzidine (DAB) chromogen solution in DAB buffer substrate. Sections were visualized with DAB, counterstained with hematoxylin, mounted in neutral gum, and analyzed by bright-field microscopy.

Evaluation of staining

Immunohistochemically stained tissue sections were reviewed and scored separately by 2 pathologists, who were blinded to the clinical parameters. The staining intensity was scored as previously described [16, 17]. The extent of the staining, defined as the percentage of positively stained area of tumor cells or normal endometrial cells in relation to the whole tissue area, was scored on a scale of 0 to 4 as follows: 0, <10%; 1, 10–25%; 2, 26–50%; 3, 50–75%; and 4, >76%. The sum of the staining intensity and staining-extent scores was used as the final staining score for PGK1 or GRP78 (0–7). For statistical analysis, final staining scores of 0–5 and 6–7 were considered to reflect low and high expression, respectively.

Statistical analyses

SPSS 21.0 software was applied to perform all statistical analyses. The χ2 test was used to verify the relationship between the clinicopathological characteristics and the expression of the 2 oncogenes. Spearman’s test was performed using the H-scores to examine the pairwise comparisons between the 2 oncogenes. A value of less than 0.05 was considered statistically significant.

Author contributions

This study was designed and supervised by W.Y.F. Experiments were conducted by L.L., Y.Y.X., L.T.Z. and C.C.L. The pathological specimens were provided by Q.P.J. The general and administrative support was obtained from S.Q.G. The manuscript was written by L.L. and D.Q.L., and approved by all the authors.

CONFLICTS OF INTEREST

None.

FUNDING

This study was supported by Medical research fund of Guangdong Province (No. A2015467) and Science and Technology Projects from Guangdong Province (2017ZC0100).

REFERENCES

1. Morice P, Leary A, Creutzberg C, Abu-Rustum N, Darai E. Endometrial cancer. Lancet. 2016; 387:1094–1108.

2. Ayakannu T, Taylor AH, Willets JM, Brown L, Lambert DG, McDonald J, Davies Q, Moss EL, Konje JC. Validation of endogenous control reference genes for normalizing gene expression studies in endometrial carcinoma. Mol Hum Reprod. 2015; 21:723–735.

3. Matias-Guiu X, Prat J. Molecular pathology of endometrial carcinoma. Histopathology. 2013; 62:111–123.

4. Zhao L, Mao Y, Zhao Y, Cao Y, Chen X. Role of multifaceted regulators in cancer glucose metabolism and their clinical significance. Oncotarget. 2016; 7:31572–31585. https://doi.org/10.18632/oncotarget.7765.

5. Bernstein BE, Hol WG. Crystal structures of substrates and products bound to the phosphoglycerate kinase active site reveal the catalytic mechanism. Biochemistry-Us. 1998; 37:4429–4436.

6. Hwang TL, Liang Y, Chien KY, Yu JS. Overexpression and elevated serum levels of phosphoglycerate kinase 1 in pancreatic ductal adenocarcinoma. Proteomics. 2006; 6:2259–2272.

7. Yan H, Yang K, Xiao H, Zou YJ, Zhang WB, Liu HY. Over-expression of cofilin-1 and phosphoglycerate kinase 1 in astrocytomas involved in pathogenesis of radioresistance. Cns Neurosci Ther. 2012; 18:729–736.

8. Zieker D, Konigsrainer I, Tritschler I, Loffler M, Beckert S, Traub F, Nieselt K, Buhler S, Weller M, Gaedcke J, Taichman RS, Northoff H, Brucher BL, et al. Phosphoglycerate kinase 1 a promoting enzyme for peritoneal dissemination in gastric cancer. Int J Cancer. 2010; 126:1513–1520.

9. Ahmad SS, Glatzle J, Bajaeifer K, Buhler S, Lehmann T, Konigsrainer I, Vollmer JP, Sipos B, Ahmad SS, Northoff H, Konigsrainer A, Zieker D. Phosphoglycerate kinase 1 as a promoter of metastasis in colon cancer. Int J Oncol. 2013; 43:586–590.

10. Zhang D, Tai LK, Wong LL, Chiu LL, Sethi SK, Koay ES. Proteomic study reveals that proteins involved in metabolic and detoxification pathways are highly expressed in HER-2/neu-positive breast cancer. Mol Cell Proteomics. 2005; 4:1686–1696.

11. Ni M, Zhang Y, Lee AS. Beyond the endoplasmic reticulum: atypical GRP78 in cell viability, signalling and therapeutic targeting. Biochem J. 2011; 434:181–188.

12. Li Z, Wang Y, Wu H, Zhang L, Yang P, Li Z. GRP78 enhances the glutamine metabolism to support cell survival from glucose deficiency by modulating the beta-catenin signaling. Oncotarget. 2014; 5:5369–5380. https://doi.org/10.18632/oncotarget.2105.

13. Li Z, Li Z. Glucose regulated protein 78: a critical link between tumor microenvironment and cancer hallmarks. Biochim Biophys Acta. 2012; 1826:13–22.

14. Bifulco G, Miele C, Di Jeso B, Beguinot F, Nappi C, Di Carlo C, Capuozzo S, Terrazzano G, Insabato L, Ulianich L. Endoplasmic reticulum stress is activated in endometrial adenocarcinoma. Gynecol Oncol. 2012; 125:220–225.

15. Luvsandagva B, Nakamura K, Kitahara Y, Aoki H, Murata T, Ikeda S, Minegishi T. GRP78 induced by estrogen plays a role in the chemosensitivity of endometrial cancer. Gynecol Oncol. 2012; 126:132–139.

16. Masunaga R, Kohno H, Dhar DK, Ohno S, Shibakita M, Kinugasa S, Yoshimura H, Tachibana M, Kubota H, Nagasue N. Cyclooxygenase-2 expression correlates with tumor neovascularization and prognosis in human colorectal carcinoma patients. Clin Cancer Res. 2000; 6:4064–4068.

17. Liu Z, Li L, Yang Z, Luo W, Li X, Yang H, Yao K, Wu B, Fang W. Increased expression of MMP9 is correlated with poor prognosis of nasopharyngeal carcinoma. BMC Cancer. 2010; 10:270.

18. Li X, Zheng Y, Lu Z. PGK1 is a new member of the protein kinome. Cell Cycle. 2016; 15:1803–1804.

19. Wang J, Wang J, Dai J, Jung Y, Wei CL, Wang Y, Havens AM, Hogg PJ, Keller ET, Pienta KJ, Nor JE, Wang CY, Taichman RS. A glycolytic mechanism regulating an angiogenic switch in prostate cancer. Cancer Res. 2007; 67:149–159.

20. Sun S, Liang X, Zhang X, Liu T, Shi Q, Song Y, Jiang Y, Wu H, Jiang Y, Lu X, Pang D. Phosphoglycerate kinase-1 is a predictor of poor survival and a novel prognostic biomarker of chemoresistance to paclitaxel treatment in breast cancer. Br J Cancer. 2015; 112:1332–1339.

21. Daly EB, Wind T, Jiang XM, Sun L, Hogg PJ. Secretion of phosphoglycerate kinase from tumour cells is controlled by oxygen-sensing hydroxylases. Biochim Biophys Acta. 2004; 1691:17–22.

22. Ariosa AR, Klionsky DJ. A novel role for a glycolytic pathway kinase in regulating autophagy has implications in cancer therapy. Autophagy. 2017; 13:1091–1092.

23. Li X, Jiang Y, Meisenhelder J, Yang W, Hawke DH, Zheng Y, Xia Y, Aldape K, He J, Hunter T, Wang L, Lu Z. Mitochondria-Translocated PGK1 Functions as a Protein Kinase to Coordinate Glycolysis and the TCA Cycle in Tumorigenesis. Mol Cell. 2016; 61:705–719.

24. Qian X, Li X, Cai Q, Zhang C, Yu Q, Jiang Y, Lee JH, Hawke D, Wang Y, Xia Y, Zheng Y, Jiang BH, Liu DX, et al. Phosphoglycerate Kinase 1 Phosphorylates Beclin1 to Induce Autophagy. Mol Cell. 2017; 65:917–931.

25. Qian X, Li X, Lu Z. Protein kinase activity of the glycolytic enzyme PGK1 regulates autophagy to promote tumorigenesis. Autophagy. 2017; 13:1246–1247.

26. Hu H, Zhu W, Qin J, Chen M, Gong L, Li L, Liu X, Tao Y, Yin H, Zhou H, Zhou L, Ye D, Ye Q, et al. Acetylation of PGK1 promotes liver cancer cell proliferation and tumorigenesis. Hepatology. 2017; 65:515–528.

27. Xie H, Tong G, Zhang Y, Liang S, Tang K, Yang Q. PGK1 Drives Hepatocellular Carcinoma Metastasis by Enhancing Metabolic Process. Int J Mol Sci. 2017; 18.

28. Lu W, Gao J, Yang J, Cao Y, Jiang L, Li M, Zhang Y, Zhou J, Liu Y. Down-Regulated Phosphoglycerate Kinase 1 Expression Is Associated With Poor Prognosis in Patients With Gallbladder Cancer. Medicine (Baltimore). 2015; 94:e2244.

29. Li Z, Li Z. Glucose regulated protein 78: a critical link between tumor microenvironment and cancer hallmarks. Biochim Biophys Acta. 2012; 1826:13–22.

30. Luvsandagva B, Nakamura K, Kitahara Y, Aoki H, Murata T, Ikeda S, Minegishi T. GRP78 induced by estrogen plays a role in the chemosensitivity of endometrial cancer. Gynecol Oncol. 2012; 126:132–139.

31. Lin C, Wang J, Wang Y, Zhu P, Liu X, Li N, Liu J, Yu L, Wang W. GRP78 Participates in PCA3-regulated Prostate Cancer Progression. Anticancer Res. 2017; 37:4303–4310.

32. Wang XQ, Aka JA, Li T, Xu D, Doillon CJ, Lin SX. Inhibition of 17beta-hydroxysteroid dehydrogenase type 7 modulates breast cancer protein profile and enhances apoptosis by down-regulating GRP78. J Steroid Biochem Mol Biol. 2017; 172:188–197.

33. Schoenhacker-Alte B, Mohr T, Pirker C, Kryeziu K, Kuhn PS, Buck A, Hofmann T, Gerner C, Hermann G, Koellensperger G, Keppler BK, Berger W, Heffeter P. Sensitivity towards the GRP78 inhibitor KP1339/IT-139 is characterized by apoptosis induction via caspase 8 upon disruption of ER homeostasis. Cancer Lett. 2017; 404:79–88.

34. Tierney KE, Ji L, Dralla SS, Yoo E, Yessaian A, Pham HQ, Roman L, Sposto R, Mhawech-Fauceglia P, Lin YG. Endoplasmic reticulum stress in complex atypical hyperplasia as a possible predictor of occult carcinoma and progestin response. Gynecol Oncol. 2016; 143:650–654.

35. Matsuo K, Gray MJ, Yang DY, Srivastava SA, Tripathi PB, Sonoda LA, Yoo EJ, Dubeau L, Lee AS, Lin YG. The endoplasmic reticulum stress marker, glucose-regulated protein-78 (GRP78) in visceral adipocytes predicts endometrial cancer progression and patient survival. Gynecol Oncol. 2013; 128:552–559.

36. Xu D, Aka JA, Wang R, Lin SX. 17beta-hydroxysteroid dehydrogenase type 5 is negatively correlated to apoptosis inhibitor GRP78 and tumor-secreted protein PGK1, and modulates breast cancer cell viability and proliferation. J Steroid Biochem Mol Biol. 2017; 171:270–280.


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