Literature DB >> 26656369

Down-Regulated Phosphoglycerate Kinase 1 Expression Is Associated With Poor Prognosis in Patients With Gallbladder Cancer.

Wei Lu1, Jian Gao, Jingyun Yang, Yang Cao, Lin Jiang, Maolan Li, Yijian Zhang, Jian Zhou, Yingbin Liu.   

Abstract

To evaluate prognostic significance of phosphoglycerate kinase 1 (PGK1) protein expression in patients with gallbladder cancer (GBC).Ninety-five patients who underwent surgical resection for GBC between January 2004 and December 2010 were enrolled. Overall survival (OS) and disease-free survival (DFS) were evaluated over a 10-year follow-up. PGK1 expression was assessed by tissue microarray and immunohistochemistry. Prognostic significance was analyzed using multivariate Cox regression.PGK1 was highly expressed in all gallbladder mucosa. Decreased PGK1 expression was detected in 54.7% (52/95) of patients with GBC. It was significantly down-regulated in GBC samples compared with that in gallbladder mucosa (P < 0.0001), and was associated with multiple clinicopathological factors. Multivariate survival analysis showed that low PGK1 expression was associated with shorter OS (median 12.8 vs 45.4 months; hazard ratio [HR] = 3.077; 95% confidence interval [CI], 1.373-6.897; P = 0.006) and DFS (median 8.3 vs 37.9 months; HR = 2.988; 95% CI, 1.315-6.790; P = 0.009), indicating that PGK1 expression was an independent prognostic factor in patients with GBC.Low PGK1 expression was associated with progression in patients with GBC. PGK1 expression could be a useful prognostic biomarker for GBC.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26656369      PMCID: PMC5008514          DOI: 10.1097/MD.0000000000002244

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.817


INTRODUCTION

Gallbladder cancer (GBC) is a rare tumor that is characterized as highly aggressive and is associated with frequent metastases and an extremely poor prognosis, making GBC 1 of the most lethal malignancies of the hepatobiliary system.[1] Patients with GBC have a mean overall survival (OS) of 6 months, and the 5-year survival rate is 5%.[2] The reasons for the high mortality rate of GBC are complicated, and GBC is resistant to the majority of clinical anti-cancer regimens including chemotherapy and radiotherapy.[3,4] Moreover, in comparison with other neoplasms, the pathogenesis and genetic profile of GBC have not been fully clarified.[5] Metabolic reprogramming is considered a hallmark of cancer.[6] Recent studies have indicated that cancer-related glucose metabolism changes mediate the development of drug resistance,[7,8] evoking an interest in cancer cell metabolic pathway alterations.[8,9] Phosphoglycerate kinase 1 (PGK1) is a key glycolytic pathway enzyme that transfers a phosphate group from 1,3-diphosphoglycerate to adenosine diphosphate to generate 3-phosphoglyceric acid and adenosine triphosphate.[10] PGK1 has been associated with carcinogenesis and metastasis in various malignancies.[11,12] This has prompted investigations into PGK1 as a potential oncogenic molecular biomarker and an indicator of poor prognosis in pancreatic cancer,[13] gastric cancer,[14] neuroblastoma,[15] and hepatocellular carcinoma.[16] A recent study revealed that PGK1 was a prognostic biomarker of chemoresistance to paclitaxel treatment in patients with breast cancer.[17] PGK1 is believed to be highly expressed in malignant carcinoma to accommodate aerobic glycolysis through the well-known Warburg effect, and this upregulation was believed to meet the needs of tumor malignant transformation.[18] In our preliminary proteomic study, PGK1 protein was significantly down-regulated in the highly metastatic GBC cell line.[19] However, PGK1 expression levels have not been investigated in human GBC tissue. According to these findings, we hypothesized that PGK1 would be down-regulated in human GBC tissues. The aim of the present study was to investigate PGK1 expression in patient-derived GBC tissues compared with that in noncancerous gallbladder tissue and to explore its prognostic significance in relation to other established prognostic factors.

METHODS

Patient Selection and Follow-Up

Between January 2004 and December 2010, 95 consecutive patients who underwent surgical resection for primary GBC at Xinhua Hospital were included in this retrospective study. The patients with suspected GBC were ages 18 to 75 years old, had an estimated Eastern Cooperative Oncology Group (ECOG) performance status of 0 to 1, and had been recruited prospectively to observe the surgical outcome of radical resection versus extended radical resection. All cases were eventually histopathologically confirmed as GBC by a gastrointestinal pathologist. Patients with severe concurrent illnesses and blood abnormalities that could affect surgical outcomes were excluded. None of the enrolled patients received additional chemotherapy or radiotherapy as such treatment had not been proved effective for treatment of GBC. GBC disease stage was defined using the American Joint Committee on cancer tumor, node, metastasis (TNM) classification system. For the present study, demographic and clinical patient information was extracted from medical records. Follow-up was conducted using direct interviews in outpatient clinics or telephone interviews with patients or their family when patients were lost to follow-up. Generally, follow-up was conducted every 3 months for the first 2 years and every 6 months for the next 3 years, then once a year for the following years. The survival time was calculated from the date of surgery to the deadline for follow-up, or to the date of death. Patient follow-up data were collected up to December 2014. The present study was approved by the Ethical Committee of Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, and written informed consent was obtained from all patients. Additionally, Institutional Review Board approval was obtained for the molecular analysis of tumor blocks.

Tissue Samples Process and Immunohistochemistry

Tissue blocks were collected from the surgically resected specimens of the 95 GBC patients, and from[20] noncancerous gallbladder tissues obtained by cholecystectomy from patients with cholecystitis or gallstones. All tissues were formalin-fixed and paraffin-embedded. After hematoxylin and eosin-stained slides had been screened for optimal tumor content, tissue microarrays (TMAs) were constructed from the diagnosis-confirmed formalin-fixed paraffin-embedded tissues. Immunohistochemistry evaluation of PGK1 expression was then performed using the TMA. Additional details can be found in the Online Supplementary File.

Evaluation of PGK1 Expression

PGK1 proteins were stained yellowish-brown in the tumor cell nucleus, cytoplasm, and membrane. The intensity of PGK1 staining was scored by optical density using the semi-quantitative Image-Pro Plus software 6.0 (Media Cybernetics, Inc. Bethesda, MD) as described previously.[21] In these cases, an optical density of <0.01 was regarded as low PGK1 expression and a score ≥0.01 was regarded as high PGK1 expression. The staining intensity and proportions were independently confirmed under a light microscope by 2 gastroenterology pathologists who were blinded to the clinical data.[22,23] In cases of discrepancy, a consensus score was chosen for evaluation. The product of the scores for intensity and proportion were used to signify the protein expression level, and a cut-off value was determined based on a measure of heterogeneity using the log-rank test with respect to OS.

Statistical Analyses

All statistical analyses were performed using IBM SPSS 22 for Windows (SPSS, Chicago, IL). To assess the relationships between the PGK1 expression and the clinicopathological characteristics of patients with GBC, the χ2 test or Fisher exact test was used for categorical variables and Student t test or nonparametric Mann–Whitney U test for continuous variables. The cumulative OS and disease-free survival (DFS) rate were calculated using the life-table method, and patients with TNM IV were excluded in analyzing DFS. Significance differences between groups were analyzed using the Kaplan–Meier method with the log-rank test. Univariate survival analyses were conducted using the Cox proportional hazards model, and in multivariate survival analyses we first adjusted for age and sex and then fully adjusted for other confounding factors. Receiver operating characteristic (ROC) curve analysis was used to determine the predictive value of the parameters. All P values were 2-sided, and a P value < 0.05 was considered statistically significant. Results are reported according to the STROBE (STrengthening the Reporting of OBservational studies in Epidemiology) guidelines.[24]

RESULTS

Patients’ Characteristics

Patient characteristics and clinicopathological data, where available, are shown in Table 1. The median age at the time of surgery was 67 years (range: 39–75 years). All patients had follow-up records for 1 to 72 months, with a median of 17.5 (23.0 ± 19.0) months. The survival time was calculated from the date of surgery to the deadline for follow-up, or to the date of death. Thirteen patients had stage I GBC, 22 had stage II, 28 had stage III, and 32 had stage IV.
TABLE 1

Patient Characteristics and Association With Decreased PGK1 Expression

Patient Characteristics and Association With Decreased PGK1 Expression

PGK1 Expression and Association With Clinicopathological Parameters

PGK1 protein expression was significantly lower in patients with GBC, compared to that in the noncancerous gallbladder mucosa (see Supplementary Figure 1). The optical density score of PGK1 protein expression measured by Image-Pro Plus was 0.012 ± 0.015 in GBC tissue versus 0.021 ± 0.010 in none cancerous gallbladder mucosa (P < 0.0001, Fig. 1). The PGK1 expression in GBC was significantly associated with invasion depth (T3 and T4, P < 0.0001), TNM stage (stages III and IV, P = 0.001), the presence of lymph node metastasis (P = 0.036), and the presence of distant metastasis (P < 0.0001), but was not associated with sex, age, vessel invasion, or tumor differentiation status (Table 1).
FIGURE 1

Optical density score of PGK1 protein expression in noncancerous gallbladder mucosa and GBC tissues measured using Image-Pro Plus. The PGK1 expression level in GBC tissues was significantly lower compared with that in noncancerous gallbladder mucosa. GBC = gallbladder cancer, PGK1 = phosphoglycerate kinase 1.

Optical density score of PGK1 protein expression in noncancerous gallbladder mucosa and GBC tissues measured using Image-Pro Plus. The PGK1 expression level in GBC tissues was significantly lower compared with that in noncancerous gallbladder mucosa. GBC = gallbladder cancer, PGK1 = phosphoglycerate kinase 1.

Association of PGK1 Expression With Prognosis

Kaplan–Meier survival analysis revealed that high PGK1 expression was significantly associated with longer OS and DFS (all P < 0.0001, Fig. 2). Stratification by TNM stage yielded similar results (P = 0.007 for early stage and P = 0.031 for advanced stage).
FIGURE 2

Kaplan–Meier survival curves of GBC patients with differential PGK1 expression. The overall survival in GBC patients with high PGK1 expression versus low PGK1 expression. The disease-free survival in GBC patients with high PGK1 expression versus low PGK1 expression. GBC = gallbladder cancer, PGK1 = phosphoglycerate kinase 1.

Kaplan–Meier survival curves of GBC patients with differential PGK1 expression. The overall survival in GBC patients with high PGK1 expression versus low PGK1 expression. The disease-free survival in GBC patients with high PGK1 expression versus low PGK1 expression. GBC = gallbladder cancer, PGK1 = phosphoglycerate kinase 1. Table 2 shows the relationships between PGK1 expression and survival outcomes according to univariate analysis. In patients with GBC, low PGK1 expression was associated with significantly shorter DFS and OS (P < 0.0001). Invasion depth, TNM stage, differentiation grade, the presence of lymph node or distant metastasis, and surgical outcomes were significantly associated with DFS and OS. Sex, age, vessel invasion, and histological type were not associated with prognosis (Table 2).
TABLE 2

Univariate Analysis of the Correlation Between Decreased PGK1 Expression With DFS and OS in Patients With GBC

Univariate Analysis of the Correlation Between Decreased PGK1 Expression With DFS and OS in Patients With GBC Multivariate Cox regression analysis revealed that decreased PGK1 expression was a significant and independent predictor of poor OS and DFS (hazard ratio [HR] = 3.077, 95% confidence interval [CI]: 1.373–6.897, P = 0.006 and HR = 2.988, 95% CI: 1.315–6.790, P = 0.009, respectively; Table 3).
TABLE 3

Multivariate Analysis of the Association Between Decreased PGK1 Expression and Survival In-Patients With GBC

Multivariate Analysis of the Association Between Decreased PGK1 Expression and Survival In-Patients With GBC

ROC Analysis of a Combination of PGK1 Expression and TNM Staging for Prognosis

ROC analysis was used to evaluate the efficacy. The area under curve (AUC) was 0.680 using TNM stage as predictive model (95% CI: 0.558–0.787; P = 0.013) and 0.691 using PGK1 expression (95% CI: 0.569–0.796; P = 0.008). To generate a more sensitive predictive model for patient outcome, we combined PGK1 expression and TNM stage to create a prognostic scoring system. The combination improved prognostic value; the AUC was 0.746 (95% CI: 0.628–0.842; P = 0.001), which was larger when compared with TNM stage (95% CI for difference, 0.009–0.122; P = 0.023) or PGK1 expression (95% CI for difference, −0.033 to 0.142; P = 0.221) alone (Fig. 3). The C-index was 0.6571 when assessed by TNM stage alone, and increased to 0.7571 when PGK1 expression was added.
FIGURE 3

ROC analysis for the predictive value of PGK1 expression in patients with GBC. ROC analysis of the sensitivity and specificity for the predictive value of combined PGK1 and TNM stratification model (P = 0.001), TNM model (P = 0.013), and PGK1 model (P = 0.008). The AUC of the combined PGK1 and TNM stratification model was larger than each individual model (compared with the PGK1 model, P = 0.221; compared with the TNM model, P = 0.023). AIC = Akaike information criterion, AUC = area under curve, ROC = receiver operating characteristic, GBC = gallbladder cancer, PGK1 = phosphoglycerate kinase 1, TNM = tumor, node, metastasis.

ROC analysis for the predictive value of PGK1 expression in patients with GBC. ROC analysis of the sensitivity and specificity for the predictive value of combined PGK1 and TNM stratification model (P = 0.001), TNM model (P = 0.013), and PGK1 model (P = 0.008). The AUC of the combined PGK1 and TNM stratification model was larger than each individual model (compared with the PGK1 model, P = 0.221; compared with the TNM model, P = 0.023). AIC = Akaike information criterion, AUC = area under curve, ROC = receiver operating characteristic, GBC = gallbladder cancer, PGK1 = phosphoglycerate kinase 1, TNM = tumor, node, metastasis.

DISCUSSION

Aberrant PGK1 expression has been noted in several carcinomas, with the majority reports declaring that overexpression of PGK1 was associated with poor prognosis.[11-16] However, the functional role of PGK1 expression in carcinogenesis remains unclear. From western blot and qRT-PCR, we noticed that PGK1 was down-regulated in the high metastasis GBC cell line in comparison with the low metastasis homologous cell line.[19] In the present study, we evaluated PGK1 expression in patients with GBC and its prognostic implications. PGK1 expression was lower in GBC tissues compared with that in normal gallbladder mucosa. Low PGK1 expression was an independent indicator of poor OS and DFS. Moreover, combining the PGK1 expression score and TNM stage had a better predictive value for clinical outcomes compared with either score alone. The PGK1 expression in biliary duct system has not been reported to our knowledge. PGK1 was once regarded as a common reference gene for quantitative real-time polymerase chain reaction (qRT-PCR)[25] until a qRT-PCR-based study revealed that PGK1 expression was elevated in squamous-cell carcinoma samples. There were accumulated reports of PGK1 expression in relation with malignancy, recently. In a study including 10 peritoneal carcinomatosis and 10 primary gastric cancers, PGK1 expression was upregulated in metastatic lesions indicating that PKG1 overexpression might be associated with disease progression.[26] Another study that utilized human neuroblastoma tissues revealed that overexpression of PKG1 was significantly and positively correlated with tumor dissemination to the bone marrow and had an adverse impact on survival.[15] In pancreatic ductal carcinoma, elevated serum PGK1 correlated with poor prognosis.[13] However, the findings in the present study in patients with GBC were paradoxical to previous findings in other cancers, with higher PGK1 expression conferring improved survival outcomes. We presume that this is most likely due to a tissue-specific role for PGK1. However, to our knowledge, studies comparing of PGK1 expression levels in human tissues have not been conducted. We examined PGK1 expression in the human protein ATLAS database (http://www.proteinatlas.org/ENSG00000102144-PGK1/tissue) and found high expression in the gallbladder, kidney, testis, breast, cervix, tonsil, thyroid gland, and parathyroid gland. In contrast, PGK1 expression in the liver, pancreas, oral mucosa, esophagus, small intestine, ovaries, and cardiac muscle was low (Supplemental Figure 2). The high PGK1 expression in gallbladder mucosa reported in the ATLAS database is consistent with our findings in normal mucosa derived from the cholecystectomy specimens. However, there are no data addressing GBC in the ATLAS database. The functional role of PGK1 overexpression in carcinogenesis has been suggested as the regulation of the Warburg effect,[18] which describes increased aerobic glycolysis in tumor cells despite the presence of oxygen. Besides its catalytic role in the glycolytic pathway, PGK1 has been shown to play multiple cellular roles that link PGK1 expression to tumor biology, although such functions have not been fully elucidated. PGK1 has disulfide reductase activity during tumor angiogenesis.[26] Moreover, via a positive interaction with CXCR4, PGK1 can increase gastric cancer cell invasion dramatically, resulting in peritoneal dissemination.[27] However, the functional consequences of changes in PGK1 expression in cancer are controversial. For instance, high PGK1 expression can inhibit tumor angiogenesis by promoting the extracellular formation of angiostatin from plasmin.[28] In addition, PGK1 has been suggested to be a critical downstream target of CXCL12 and an important negative regulator of angiogenesis.[29] Moreover, in lung cancer cells, PGK1 overexpression reduced cyclooxygenase 2 expression, and decreased tumor growth and promoted anti-tumor immunity in vivo.[30,31] PGK1 can bind DNA, influencing DNA replication and repair in mammalian cell nuclei.[32,33] A proteomic analysis of glycolysis in lung cancer tissues revealed that poorly differentiated tumors had significantly lower PGK1 levels compared with moderate or well-differentiated tumors, indicating that PGK1 was down-regulated during lung cancer carcinogenesis.[34] This finding might explain why PGK1 elevations have been associated with survival in patients with stage I lung cancer.[35] A recent study demonstrated that PGK1 expression was blocked by MVIH, a long noncoding RNA, and this inhibition was associated with poor postoperative prognosis in patients with hepatocellular carcinoma,[36] further indicating PGK1's tumor suppressor role in certain malignancy. Therefore, the decreased expression of PGK1 with poor prognosis of GBC seemed not a causal relationship. The current results indicated that down-regulation could be 1 of the oncogenic step in GBC carcinogenesis. Although our study provided evidence for the prognostic value of PGK1 in patients with GBC, there remain some limitations. This is a single center retrospective study, so our results might not be generalized to other studies. The number of patients enrolled is relatively small due to relative lower incidence of the disease. And we cannot rule out the possibilities of type 1 error, which might lead to a false positive finding. More larger, multicentered, prospective studies are needed to validate these results. In summary, we found that low PGK1 expression was an independent prognostic biomarker for poor OS and DFS. PGK1 may serve as an objective and effective biomarker to help identify patients with a high risk for tumor invasion and metastasis, thereby guiding the clinical decision making. Furthermore, because GBC is refractory to chemotherapy, modulation of PGK1 expression might be a promising target to improve survival outcomes and treatment efficacies, which might provide additional curative clinical strategies for patients with GBC.
  36 in total

1.  The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.

Authors:  Erik von Elm; Douglas G Altman; Matthias Egger; Stuart J Pocock; Peter C Gøtzsche; Jan P Vandenbroucke
Journal:  Lancet       Date:  2007-10-20       Impact factor: 79.321

2.  Identification of reference genes for qRT-PCR in human lung squamous-cell carcinoma by RNA-Seq.

Authors:  Cheng Zhan; Yongxing Zhang; Jun Ma; Lin Wang; Wei Jiang; Yu Shi; Qun Wang
Journal:  Acta Biochim Biophys Sin (Shanghai)       Date:  2014-01-23       Impact factor: 3.848

Review 3.  Dysregulated glycolysis as an oncogenic event.

Authors:  Takumi Mikawa; Matilde E LLeonart; Akifumi Takaori-Kondo; Nobuya Inagaki; Masayuki Yokode; Hiroshi Kondoh
Journal:  Cell Mol Life Sci       Date:  2015-01-22       Impact factor: 9.261

4.  Targeted proteomic analysis of glycolysis in cancer cells.

Authors:  J Patrick Murphy; Devanand M Pinto
Journal:  J Proteome Res       Date:  2010-11-22       Impact factor: 4.466

Review 5.  Gall bladder carcinoma: Aggressive malignancy with protean loco-regional and distant spread.

Authors:  Amit Nandan Dhar Dwivedi; Shivi Jain; Ruhi Dixit
Journal:  World J Clin Cases       Date:  2015-03-16       Impact factor: 1.337

6.  Phosphoglycerate kinase acts in tumour angiogenesis as a disulphide reductase.

Authors:  A J Lay; X M Jiang; O Kisker; E Flynn; A Underwood; R Condron; P J Hogg
Journal:  Nature       Date:  2000-12-14       Impact factor: 49.962

7.  FLNA and PGK1 are two potential markers for progression in hepatocellular carcinoma.

Authors:  Jianzhong Ai; Huizhe Huang; Xiaoyan Lv; Ziwei Tang; Mianzhi Chen; Tielin Chen; Weiwei Duan; Huan Sun; Qingwei Li; Ruizhi Tan; Yuhang Liu; Jingjing Duan; Yang Yang; Yuquan Wei; Yan Li; Qin Zhou
Journal:  Cell Physiol Biochem       Date:  2011-04-01

Review 8.  Biliary tract cancers: understudied and poorly understood.

Authors:  Emily Chan; Jordan Berlin
Journal:  J Clin Oncol       Date:  2015-04-27       Impact factor: 44.544

9.  The role of primer recognition proteins in DNA replication: association with nuclear matrix in HeLa cells.

Authors:  J K Vishwanatha; H K Jindal; R G Davis
Journal:  J Cell Sci       Date:  1992-01       Impact factor: 5.285

Review 10.  Gallbladder cancer: epidemiology and outcome.

Authors:  Rajveer Hundal; Eldon A Shaffer
Journal:  Clin Epidemiol       Date:  2014-03-07       Impact factor: 4.790

View more
  5 in total

Review 1.  PGK1-mediated cancer progression and drug resistance.

Authors:  Yu He; Yang Luo; Dan Zhang; Xixi Wang; Peng Zhang; Haocheng Li; Samina Ejaz; Shufang Liang
Journal:  Am J Cancer Res       Date:  2019-11-01       Impact factor: 6.166

Review 2.  Gallbladder cancer epidemiology, pathogenesis and molecular genetics: Recent update.

Authors:  Aarti Sharma; Kiran Lata Sharma; Annapurna Gupta; Alka Yadav; Ashok Kumar
Journal:  World J Gastroenterol       Date:  2017-06-14       Impact factor: 5.742

3.  A Novel Glycolysis-Related Four-mRNA Signature for Predicting the Survival of Patients With Breast Cancer.

Authors:  Xiaolu Zhang; Jia Wang; Jing Zhuang; Cun Liu; Chundi Gao; Huayao Li; Xiaoran Ma; Jie Li; Changgang Sun
Journal:  Front Genet       Date:  2021-01-28       Impact factor: 4.599

4.  Metabolic protein phosphoglycerate kinase 1 confers lung cancer migration by directly binding HIV Tat specific factor 1.

Authors:  Jean Chiou; Michael Hsiao; Yu-Chan Chang; Ming-Hsien Chan; Chien-Hsiu Li; Chih-Jen Yang; Yu-Wen Tseng; Hsing-Fang Tsai
Journal:  Cell Death Discov       Date:  2021-06-05

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

Authors:  Suiqun Guo; Yanyi Xiao; Danqing Li; Qingping Jiang; Litong Zhu; Dan Lin; Huiping Jiang; Wei Chen; Lijing Wang; Chunhua Liu; Weiyi Fang; Li Lin
Journal:  Oncotarget       Date:  2017-12-07
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.