Literature DB >> 29456687

Girdin protein: A potential metastasis predictor associated with prognosis in lung cancer.

Zhaoyang Yang1, Fang Yang1, Yingli Zhang2, Xin Wang1, Jiong Shi3, Hongjiao Wei1, Fengwei Sun1, Yan Yu1.   

Abstract

The present study explored the relationship between Girdin protein expression and the survival rate of patients with lung carcinoma. A total of 334 lung cancer specimens, 20 benign lung disease tissue sections and 24 fresh tissues from patients with lung carcinoma were analyzed by immunohistochemistry and western blotting. Girdin protein was expressed in 130/334 (38.93%) of the cases examined. Girdin protein expression was correlated with tumor/node/metastasis stage (P<0.001), lymph node metastasis (P=0.001), distant metastasis (P<0.001) and specimen sites (P=0.034). Girdin expression was also correlated with signal transducer and activator of transcription 3 (STAT3) expression (P<0.001). Patients with high Girdin and STAT3 expression had a significantly poorer prognosis compared with those with low/high, high/low or low/low expression (P<0.001). In summary, Girdin may be a prognostic marker of lung cancer and serve as a biomarker for metastasis.

Entities:  

Keywords:  Girdin; immunohistochemistry; lung cancer; signal transducer and activator of transcription 3; western blotting

Year:  2018        PMID: 29456687      PMCID: PMC5795640          DOI: 10.3892/etm.2018.5773

Source DB:  PubMed          Journal:  Exp Ther Med        ISSN: 1792-0981            Impact factor:   2.447


Introduction

According to the National Cancer Institute, although lung cancer mortality rates have declined due to reduced tobacco use, lung cancer remains the leading cause of cancer-related mortality worldwide (1). A high rate of metastasis at diagnosis is the principal reason for poor prognosis (2). Tumor invasion and metastasis are complex and dynamic processes controlled by multiple factors, including tumor cells and the tumor microenvironment (3). Lung cancer patients are prone to distant metastases; thus, the survival period is shortened and life quality is affected (4). Nevertheless, the mechanism of metastasis in lung cancer remains unclear. The phosphoinositide 3-kinase-protein kinase B (Akt) signaling pathway is believed to be closely associated with metastasis (5). Girdin, an Akt substrate and newly discovered nuclear actin-binding protein, has a key role in promoting cell migration and angiogenesis during embryonic development, inflammation and tumor angiogenesis, and it is highly expressed in several human malignant carcinomas, such as colon, breast, glioblastoma and esophageal carcinomas (6–12). A study by Song et al (13) assessed Girdin expression and the correlation between its expression and clinical-pathological parameters and survival in a cohort of 36 consecutive patients with non-small cell lung cancer (NSCLC), and observed a significant correlation between elevated Girdin expression and blood vessel infiltration of the tumor. The Janus kinase-signal transducer and activator of transcription (STAT) signaling pathway is also closely associated with many biological processes, particularly metastasis (14). The STAT family consists of six members (STAT1-STAT6), of which STAT3 is one of the most common sustained activated signaling proteins (15). A study by Dunkel et al (16) demonstrated that Girdin is capable of forming a positive feedback loop to increase the activity of STAT3, thereby promoting tumor invasion and migration. In a previous study, to explore whether Girdin is mediated by STAT3 in lung cancer, the authors of the present study depleted endogenous STAT3 and observed that Girdin expression decreased (17). It was also found that interleukin (IL)-17 promotes tumor angiogenesis in NSCLC by activating STAT3/Girdin signaling in NSCLC cell lines, which subsequently upregulates vascular endothelial growth factor (17). Nevertheless, few studies have explored the expression of Girdin protein and STAT3, as well as their relationship with lung cancer. In the present study, the correlation between Girdin protein and STAT3 protein in lung cancer was evaluated using immunohistochemistry (IHC). A prognostic model based on clinical parameters was also generated to determine whether Girdin could act as a prognostic biomarker for lung cancer.

Patients and methods

Patient tissue samples

A total of 334 NSCLC tissue sections, 20 benign lung disease tissue sections, 20 adjacent normal lung tissues sections, 24 fresh NSCLC tissues and 5 fresh normal lung tissue sections were obtained with informed consent at the Harbin Medical University Cancer Hospital (Harbin, China) between January 2005 and December 2006. All patients included in the present study had been surgically resected and diagnosed with stage I–IIIA NSCLC. Patients with any other types of cancer, or who missed follow-up appointments were excluded from the study. This retrospective analysis was approved by the Ethics Committee of Harbin Medical University Cancer Hospital. The clinical parameters extracted from medical records included: Age; sex; smoking history; Eastern Cooperative Oncology Group (ECOG) performance status (18); histological type and grade; stage (IASLC 7th TNM Staging system) (19); metastasis sites; diameter of the carcinoma; and specimen sites.

IHC

For IHC, 4-µm-thick formaldehyde-fixed (fixed with 4% formaldehyde at room temperature for 24 h), paraffin-embedded sections of 334 NSCLC, 20 benign lung disease and 20 adjacent normal lung tissues were deparaffinized in xylene and then rehydrated in serially graded alcohols. Antigens were retrieved by boiling the samples in 10 mM sodium citrate buffer at pH 6.0 for 30 min. Subsequently, the sections were washed with phosphate-buffered saline (pH 7.4), blocked with 3% hydrogen peroxide at room temperature for 20 min and incubated overnight at 4°C with anti-Girdin (ab111035; 1:100; Abcam, Cambridge, UK) and anti-STAT3 (ab119352; 1:500; Abcam) antibodies. The slides were incubated with horseradish peroxidase-conjugated anti-rabbit immunoglobulin G secondary antibodies (SC2040, 1:400, Santa Cruz Biotechnology, Inc., Dallas, TX, USA) for 30 min at room temperature, followed by signal detection with diaminobenzidine. The slides were counterstained with hematoxylin at room temperature for 5 min. The mean percentage of positive tumor cells was determined in at least five fields at magnification, ×200 using a light microscope. The slides were evaluated independently by two experienced pathologists who reached a consensus. The percentages of positive cells were categorized as follows: 0, 0%; 1, 0–10%; 2, 10–50%; and 3, >50%. The staining intensity was scored as follows: 0, negative; 1, weak; 2, moderate; and 3, strong. The scores for the percentage of positive cells and staining intensity were multiplied to achieve a weighted score for each case. Cases with scores ≤4 were defined as low expression and cases with scores >4 were defined as high expression.

Western blot analysis

A total of 24 fresh NSCLC and 5 normal tissues were washed three times with PBS solution and treated by ultrasonic lysis with a radioimmunoprecipitation lysis buffer (P0013C; Beyotime Institute of Biotechnology, Haimen, China) for protein extraction. Protein were quantified by BCA. A total of 30 µg of protein were loaded per lane and separated by 10% SDS-PAGE, after which the proteins were transferred to a polyvinylidene difluoride membrane. Subsequently, the membrane was blocked with 5% skim milk for 1 h at room temperature and incubated with primary antibodies directed against Girdin, (ab113890; 1:500; Abcam) and β-actin (4970P; 1:1,000; CST Biological Reagents Co., Ltd., Shanghai, China) overnight at 4°C. Appropriately diluted specific secondary antibodies (anti-rabbit IgG; ZB2301; 1:1,000; OriGene Technologies, Inc., Beijing, China) were added and incubated for 1 h at room temperature. An enhanced chemiluminescence kit (Pierce; Thermo Fisher Scientific, Inc., Waltham, MA, USA) was used to detect and analyze immunostained protein bands using a charge-coupled camera (LAS4000; Fujifilm, Tokyo, Japan) and Gel-Pro Analyzer software version 4.0 (Media Cybernetics, Inc., Rockville, MD, USA).

Statistical analysis

Data were presented as the mean ± standard deviation. Statistical analysis was performed using SPSS 18.0 software (SPSS, Inc., Chicago, IL, USA). P<0.05 was considered to indicate a statistically significant difference. ANOVA and Dunnett's post hoc test was performed for the comparison of Girdin expression between fresh tumor and normal tissues. A multivariate Cox regression model was used to analyze prognostic variables for survival measures. Chi-squared tests were used to examine the statistical association between clinical-pathological and IHC data. Survival curves were plotted using the Kaplan-Meier method and differences were assessed using the log-rank test. The correlation between Girdin and STAT3 was calculated using Spearman's rank correlation coefficient.

Results

Patient characteristics

To evaluate the clinical significance of Girdin expression in NSCLC, an IHC analysis of 334 NSCLC tissues samples, 20 benign lung disease tissues (pulmonary hamartoma, pulmonary fibroma, pulmonary hemangioma and pneumonia) and 20 adjacent normal lung tissues was performed. The mean age of the 334 NSCLC patients enrolled in the present study was 50.87 years (range, 29–80 years). Of these, 178/334 (53.23%) patients had lymph node metastasis and 82/334 (24.53%) exhibited distant metastasis (Table I).
Table I.

Correlation between Girdin and STAT3 expression in non-small cell lung cancer tissues.

Girdin

Transcription factorHighLowrP-value
STAT3
  High110290.696<0.001
  Low20175

STAT3, signal transducer and activator of transcription 3.

Expression and localization of Girdin and STAT3 in NSCLC, benign lung disease and normal lung tissues

As demonstrated in Fig. 1, cytoplasmic and membrane Girdin immunoreactivity was detected in 130/334 lung cancer samples (38.93%) and 10% (2/20, one pulmonary hamartoma and one pulmonary hemangioma) of benign cases, whereas it was not present in the adjacent normal tissues (0/20). STAT3 was predominately localized in the nuclei of tumor cells. Western blotting was used to investigate Girdin expression in fresh tumor tissues and normal tissues (Fig. 2). Girdin expression was significantly higher in several NSCLC tissue samples compared with normal tissues as determined by one-way ANOVA (P<0.05; Fig. 2).
Figure 1.

Immunohistochemical staining of Girdin and STAT3 in non-small cell lung cancer, benign lung disease and normal lung tissues (magnification, ×200;). (A) Negative staining of Girdin in normal lung tissues. (B) Positive staining of Girdin in lung squamous cell carcinoma. (C) Positive staining of Girdin in lung adenocarcinoma. (D) Positive staining of Girdin in pulmonary hamartoma. (E) Positive staining of STAT3 in lung squamous cell carcinoma. (F) Positive staining of STAT3 in lung adenocarcinoma. Red arrows indicate examples of cytoplasmic and membrane staining; red triangles indicate examples of nucleic staining. STAT3, signal transducer and activator of transcription 3.

Figure 2.

Western blot analysis of Girdin in non-small cell lung cancer and normal lung tissues. (A) Western blot analysis in representative samples of NSCLC and normal tissues and (B) densitometry analysis of protein expression relative to normal tissue. 1, normal tissue; 2–8, NSCLC tissues. Girdin expression was significantly higher in several NSCLC tissue samples (3,5,6 and 7) compared with normal tissues. *P<0.01 and **P<0.001 vs. normal tissue.

The potential correlation between the expression of Girdin and STAT3 in NSCLC was assessed. Spearman's rank correlation analysis revealed that Girdin expression was closely correlated with STAT3 expression in the NSCLC patient cohort (r=0.696; P<0.001) (Table I).

Relationship between Girdin and STAT3 overexpression and clinical-pathological parameters

The correlations between Girdin and STAT3 expression and the clinicopathological characteristics of NSCLC are demonstrated in Table II. Lung tumor expression of Girdin was not dependent on age, sex, smoking history, family history, histology, ECOG performance status, histopathological subtype, degree of differentiation, tumor size, metastatic site or T stage. Lung tumor expression of STAT3 in the lung cancer cases was not dependent on age, sex, smoking history, family history, histology, ECOG performance status, histopathological subtype, degree of differentiation or specimen sites. Elevated expression of Girdin was associated with positive lymph node metastasis status (P=0.001), positive distant metastasis status (P<0.001), later TNM stage (P<0.001) and more tumor sites (P=0.034). Elevated expression of STAT3 was correlated with later TNM stage (P=0.007), positive lymph node metastasis status (P<0.001), positive distant metastasis (P=0.011), later T stage (P=0.004) and larger tumor diameter (P=0.002).
Table II.

Association between Girdin, STAT3 and clinicopathological factors in non-small cell lung cancer (n=334).

Girdin expressionSTAT3 expression


ParameterLowHighP-valueLowHighP-value
Age, years0.6250.822
  <5568406444
  ≥551369013195
Gender0.5080.223
  Male14286128100
  Female62446739
Family history0.4480.094
  Yes40304723
  No164100148116
Smoking status0.4730.616
  Non-smoker1187011276
  Smoker86608363
ECOG status0.7990.158
  0–1190122179133
  ≥2148166
Histology grade0.1040.633
  Well-differentiated2222
  Moderately differentiated62265533
  Poorly differentiated140102138104
Histological type0.4960.764
  Adenocarcinoma106649674
  Squamous cell carcinoma80588355
  Other1881610
TNM stage<0.0010.007
  I–IIIA1505613274
  IIIB-IV54746365
Tumor stage0.6930.004
  T144264822
  T21147210878
  T326221830
  T42010219
Lymph node metastasis0.001<0.001
  Yes94848890
  No1104610749
Distant metastasis<0.0010.011
  Yes26563844
  No1787415795
Diameter of tumor, cm0.4340.002
  ≤358326426
  3–71348612397
  >71212816
Sites of specimen0.0340.797
  Primary tumor site190112177125
  Metastasis tumor site14181814

ECOG, Eastern Cooperative Oncology Group; TNM, tumor/node/metastasis; STAT3, signal transducer and activator of transcription 3.

Elevated Girdin and STAT3 expression is associated with poor prognosis in NSCLC

The Kaplan-Meier survival curves of Girdin and STAT3 for overall survival (OS) and progression-free survival (PFS) are demonstrated in Fig. 3. Patients with elevated Girdin expression were observed to have significantly shorter OS (P<0.001) and PFS (P<0.001) compared with those with lower expression. Patients with increased STAT3 expression were observed to have significant shorter OS (P<0.001) and PFS (P<0.001) rates compared with patients with low-level expression. Furthermore, patients with low expression of both Girdin and STAT3 were observed to have significantly longer OS (P<0.001) and PFS (P<0.001) compared with individuals with high/high expression and others (low/high, high/low) expression (Fig. 4).
Figure 3.

Kaplan-Meier survival curves of Girdin and STAT3 expression for OS and PFS in patients with non-small cell lung cancer. Patients with high Girdin expression were observed to have poorer (A) median OS (13 vs. 35 months) and (B) median PFS (4 vs. 12 months) compared with those with lower expression. Patients with high STAT3 expression were observed to have poorer (C) median OS (14 vs. 33 months) and (D) median PFS (5 vs. 12 months) compared with those with lower expression. *P<0.001 vs. low expression. OS, overall survival; PFS, progression-free survival; STAT3, signal transducer and activator of transcription 3.

Figure 4.

Kaplan-Meier survival curves of combined Girdin and STAT3 expression for OS and PFS in patients with non-small cell lung cancer. (A) Patients with low expression of both Girdin and STAT3 were observed to have significantly longer median OS compared with others and high/high expression (35 vs. 14 vs. 14 months). (B) Patients with low expression of both Girdin and STAT3 were observed to have significantly longer median PFS compared with others and high/high expression (12 vs. 5 vs. 4 months). *P<0.001 vs. both high expression and others. OS, overall survival; PFS, progression-free survival; STAT3, signal transducer and activator of transcription 3; others, low/high or high/low expression of Girdin and STAT3, respectively.

Elevated Girdin expression is independently associated with OS and PFS in NSCLC

To identify prognostic variables of NSCLC, a multivariate analysis was performed. It was identified that TNM stage (P=0.002 and P=0.001), lymph node metastasis (P=0.009 and P=0.004), distant metastasis (P=0.048 and P=0.001) and Girdin expression (P=0.004 and P=0.001) were prognostic factors in NSCLC for OS and PFS, respectively (Table III).
Table III.

Multivariate survival analysis of OS and PFS in patients with non-small cell lung cancer (n=334).

OSPFS


ParameterHR95% CIP-valueHR95% CIP-value
TNM stage
  I–IIIA1.0001.000
  IIIB-IV0.4900.316–0.7570.0020.4800.311–0.7390.001
Tumor stage
  T11.0001.000
  T20.4540.251–0.8210.0090.4490.249–0.8100.008
  T30.9010.544–1.4910.6840.9120.551–1.5110.722
  T41.3030.736–2.3070.3631.7801.009–3.1410.047
Lymph node metastasis
  Yes1.0001.000
  No1.4621.101–1.9420.0091.5051.139–1.9890.004
Distant metastasis
  Yes1.0001.000
  No1.5611.005–2.4270.0482.1161.355–3.3110.001
Girdin expression
  Low1.0001.000
  High1.8941.228–2.9210.0042.1271.366–3.3110.001
STAT3 expression
  Low1.0001.000
  High0.7960.527–1.2020.2770.6860.445–1.0580.088

HR, hazard ratio; CI, confidence interval; OS, overall survival; PFS, progression-free survival; TNM, tumor/node/metastasis; STAT3, signal transducer and activator of transcription 3.

Discussion

Currently, the expression status of Girdin protein and its prognostic value for lung cancer are unclear. In the present study, it was identified that Girdin expression is significantly associated with TNM stage and tumor metastasis in human lung cancer. Girdin, which is phosphorylated following epidermal growth factor stimulation and is a novel Akt substrate, is essential for cell metastasis (20). It is an important factor for the leading edge of cell pseudopods involved in cell movement (21). A study by Garcia-Marcos et al (22) reported that the survival rate of patients with colon cancer and Girdin-positive expression was reduced compared with Girdin-negative expression. Girdin expression also predicted mortality risk, independent of microsatellite stability status. The authors concluded that Girdin may serve as a convenient metastasis biomarker for colon cancer (22). In the present study, it was demonstrated that patients with elevated Girdin expression had poorer OS and PFS compared with those with lower expression levels. These results are consistent with previous investigations of Girdin in other cancer types. In breast cancer tissues and cell lines, Girdin was highly expressed, and the co-expression of Girdin and tumor necrosis factor receptor 4 led to an increased rate of lymph node metastasis (23). A study by Nishimae et al (24) reported that the expression of Girdin in invasive breast cancer was strongly associated with lymph node metastasis. In esophageal squamous cell carcinoma (ESCC), Girdin was demonstrated to be involved in the motility of ESCC cells, and the expression of Girdin protein was inversely correlated with ESCC patient survival (12). In the present study, it was identified that the expression rate of Girdin in NSCLC was 38.93%, which differed from 72.2% (26/36) in a study by Song et al (13) of 36 NSCLC patients undergoing surgery. This difference may be because 334 patients with different stages were recruited to the present study, whereas only patients with early-stage disease were enrolled in the study by Song et al (13). The present study also demonstrated that tissues with stronger expression of Girdin were obtained from metastasis sites, which may be because Girdin facilitates cell invasion and metastasis. STAT3 is a STAT family member activated by tyrosine phosphorylation in response to various factors, such as epidermal growth factor and IL-6 (25,26). It was reported by Dunkel et al (16) that STAT3 protein upregulates Girdin expression, and that Girdin enhances STAT3 activation in a positive feedback loop during wound healing and tumor metastasis. STAT3 was also demonstrated to be essential for Girdin expression under stimulated tension force under physiological conditions, as well as for osteoblast proliferation and migration during quiescence (27). These findings suggest that STAT3/Girdin pathway activation has a critical role in proliferation and migration. In the present study, it was revealed that Girdin overexpression was correlated with STAT3 in patient tissues. The results indicated that patients with high-level expression of both Girdin and STAT3 had lower OS and PFS rates compared with low/high, high/low and low/low expression, which indicates that STAT3/Girdin may serve an essential role in malignant behavior in NSCLC. In conclusion, the present data indicated that Girdin may be a biomarker for metastasis in patients with NSCLC. Combined Girdin and STAT3 expression could predict poor prognosis in patients with NSCLC.
  27 in total

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Authors:  Peter Goldstraw; John Crowley; Kari Chansky; Dorothy J Giroux; Patti A Groome; Ramon Rami-Porta; Pieter E Postmus; Valerie Rusch; Leslie Sobin
Journal:  J Thorac Oncol       Date:  2007-08       Impact factor: 15.609

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Authors:  R A Cairns; R Khokha; R P Hill
Journal:  Curr Mol Med       Date:  2003-11       Impact factor: 2.222

8.  Hyperactive EGF receptor, Jaks and Stat3 signaling promote enhanced colony-forming ability, motility and migration of cisplatin-resistant ovarian cancer cells.

Authors:  P Yue; X Zhang; D Paladino; B Sengupta; S Ahmad; R W Holloway; S B Ingersoll; J Turkson
Journal:  Oncogene       Date:  2011-09-12       Impact factor: 9.867

9.  Clinical significance of Girdin expression detected by immunohistochemistry in non-small cell lung cancer.

Authors:  Jing-Ying Song; Ping Jiang; Ning Li; Feng-Hua Wang; Jun Luo
Journal:  Oncol Lett       Date:  2013-12-09       Impact factor: 2.967

10.  Interleukin-17 promotes angiogenesis by stimulating VEGF production of cancer cells via the STAT3/GIV signaling pathway in non-small-cell lung cancer.

Authors:  Bo Pan; Jing Shen; Jingyan Cao; Yongxu Zhou; Lihua Shang; Shi Jin; Shoubo Cao; Dehai Che; Fang Liu; Yan Yu
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Authors:  Jason Ear; Amer Ali Abd El-Hafeez; Suchismita Roy; Tony Ngo; Navin Rajapakse; Julie Choi; Soni Khandelwal; Majid Ghassemian; Luke McCaffrey; Irina Kufareva; Debashis Sahoo; Pradipta Ghosh
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