Correlation between lung neoplasm and serum level of osteopontin: A meta-analysis.

The aim of this meta-analysis was to evaluate the clinical significance of serum osteopontin (OPN) levels in lung neoplasm in patients to establish a novel diagnostic score model. Articles were identified by searching the PubMed, Web of Science, Google Scholar, China National Knowledge Infrastructure, and Wang Fang databases. Studies identified were pooled, and the standardized mean difference (SMD) and its corresponding 95% confidence interval (CI) were calculated. Subgroup analyses and publication bias detection were also conducted. Version 12.0 STATA software was used for statistical analysis. A final analysis of 1,327 subjects together (740 patients with lung neoplasms and 587 controls) was performed from 10 clinical case-control studies. The meta-analysis results showed a positive association between serum OPN levels and lung neoplasm (SMD=5.59, 95% CI: 1.85-3.32, P<0.001). The subgroup analysis by ethnicity detected that high levels of serum OPN may be the main risk factor for lung neoplasms in Asians (SMD=1.76, 95% CI: 1.24-2.29, P<0.001), but not in Caucasians (P=0.072). In conclusion, the present meta-analysis indicated that serum OPN levels were generally elevated in lung neoplasm patients, and thus, serum levels of OPN may be useful in diagnosing lung neoplasm in certain population groups.

Introduction

Lung neoplasm is the leading cause of cancer-related mortalities worldwide. Approximately 80–85% of cases are non-small-cell lung cancer. The 5-year survival rate for lung cancer is 18% (1). Even for those patients with early-stage disease who undergo surgical resection, the postoperative recurrence rate is higher than that of other types of cancer (2). Lung neoplasm has the highest mortality rate in the USA, accounting for almost 86,220 mortalities in 2010, with an estimated 116,000 new cases and 86,930 mortalities in 2014 (1,3). It is well known that early diagnosis and treatment lead to better outcome. However, our understanding of possible factors connected with early diagnosis is limited. Thus, it is essential to identify novel and useful biological tumor markers that may more accurately establish the diagnosis of lung neoplasm. In recent years, studies have suggested that preoperative osteopontin (OPN) is positively correlated with lung neoplasm progression, which may be a clinically useful biomarker for predicting lung cancer (4–6).

OPN is a 44-kDa, secreted, highly acidic, and adhesive protein that is detected in whole body liquids (7). Accepted as the primary phosphorylated glycoprotein of the bone, OPN is simultaneously secreted in a large number of tissues and cells, including blood vessels, skin tissues, as well as immune cells (8). In clinical practice, OPN is regarded as a chemotactic factor as well as a matrix factor and a cytokine, possessing pleiotropic functions (9). OPN is involved in many physiological processes, bone remodeling, macrophage migration, angiogenesis, and neutrophil migration (8,10). Nevertheless, previous findings showed that OPN is highly involved in the development of cardiovascular diseases and other types of cancer, including colorectal cancer, gastric cancer, breast cancer, and ovarian neoplasm (11–15). In addition, OPN has been found to be associated with the presence and progression of lung neoplasm, demonstrating that plasma OPN concentrations were higher in lung neoplasm patients when compared with healthy individuals (5). Previous findings have demonstrated that OPN increased the invasion of lung cancer cells by triggering ROCK signaling mediated by the FAK/PI3K/AKT pathway, which in turn induces lamellipodia formation by inactivating cofilin (16). Furthermore, increasing OPN serum levels are positively associated with advanced disease states and smoking history (6). A higher expression of OPN in NSCLC tumors was associated with poor patient outcome (17–19). Therefore, OPN may be considered a new diagnostic marker for predicting, detecting, and evaluating lung neoplasm. Additionally, OPN is a promising biomarker for lung neoplasm prediction, diagnosis, prognosis and even metastasis (5,20,21). However, other studies have presented inconsistent results (22). Due to these conflicting results, we conducted a meta-analysis to evaluate the potential usefulness of serum OPN levels for the prediction and diagnosis of lung neoplasm.

Materials and methods

Search strategy

Related articles were identified by searching the PubMed, Web of Science, Google Scholar, China National Knowledge Infrastructure, and Wang Fang databases comprehensively for published articles that assessed the correlations between OPN serum levels and lung neoplasm for the period up to March 31, 2015, using the keywords ‘Lung Neoplasms’ or ‘lung neoplasm’ or ‘lung cancers’ or ‘lung cancer’ or ‘cancer of lung’ or ‘lung carcinoma’ or ‘lung adenocarcinoma’ or ‘lung tumor’, ‘Osteopontin’ or ‘Sialoprotein’ or ‘Secreted Phosphoprotein 1’ or ‘Bone Sialoprotein 1’ or ‘Uropontin’ or ‘OPN’. The search was performed without language restriction. Additional potential relevant articles were retrieved through a manual search of references from original reports.

Selection criteria

Any randomized intervention case-control studies that involved the association of OPN serum levels with lung neoplasm as a primary outcome were initially taken into consideration. Aside from studies involving healthy participants as controls, studies that had patients diagnosed with lung neoplasm confirmed by histopathologic examinations and associated with OPN serum levels were also included for the initial review of the articles. Studies that did not provide the number of lung neoplasm cases or sufficient information regarding serum OPN expression levels were not included. A relatively low number of participants in a study was not considered sufficient grounds for exclusion, but all the included studies had ≥20 participants. Any studies that were duplicates, lacked complete data, or had unavailable data were excluded. If the same participants were involved in more than one study, only the most recent or most complete study was included after careful re-examination.

Data extraction

To minimize the bias and improve reliability, two investigators extracted information according to the selection criteria independently and reached a consensus on all the items through discussion and re-examination. The following relevant data were extracted from eligible studies prospectively: surname of first author, year of publication, study type, study design, sample size, source of controls, age, gender, ethnicity and country of origin, and detection method of OPN serum levels. Due to subjects from different ethnicities, information was extracted separately and classified into Asians and Caucasians.

Statistical analysis

The current statistical meta-analysis was conducted utilizing a random effects model (DerSimonian and Laird method) or a fixed effects model (Mantel-Haenszel method) of individual study results when data from independent studies could be combined. The random effects model was applied when heterogeneity existed among studies, while the fixed effects model was applied when there was no statistical heterogeneity. The summary standardized mean difference (SMD) with 95% confidence intervals (CI) was calculated for the case versus control category of OPN serum levels with the Z-test. The subgroup meta-analyses were also conducted by ethnicity and source of controls to determine the potential effect modification. Heterogeneity across the enrolled studies was evaluated using Cochran's Q-statistic. P<0.05 was considered to indicate statistical significance (23).

As a result of the low statistical power of Cochran's Q-statistic, the I2 test was also measured to reflect the possibility of heterogeneity between studies (24). Sensitivity analysis was performed to evaluate whether the results were potentially affected significantly by deleting single studies individually to determine the influence of individual data sets on the pooled SMD. The funnel plot was constructed to assess the effect of publication bias on the validity of the estimates. The symmetry of the funnel plot was subsequently evaluated using Egger's linear regression test (25). Tests were two-sided, and P<0.05 was considered to indicate a statistically significant difference. STATA software, version 12.0 (Stata Corporation, College Station, TX, USA) was used for statistical analysis.

Results

Baseline characteristics of included studies

The original search yielded a total of 31 papers related to the searched keywords. The flow chart of the study selection process is provided in Fig. 1. Ten studies (22,26–34) were found to meet the inclusion criteria, with the publication year ranging from 2001 to 2014. All the articles identified were case-control studies that assessed the association of OPN serum levels and lung neoplasm in Asian populations (22,26–28,31–33) (7 studies) and Caucasian populations (29,30,34) (3 studies). The detection method applied in the present meta-analysis was enzyme-linked immunosorbent assay. Table I shows the characteristics of the enrolled studies.

Figure 1.

Study plan. OPN, osteopontin.

Table I.

Characteristics of included studies focused on protein expression of OPN.

Author (year)	Ethnicity	Source of controls	Sample size (case/control)	Method	(Refs.)
Song (2014)	Asians	PB	32/35	ELISA	(26)
Qiu and Fu (2012)	Asians	PB	56/40	ELISA	(27)
Xu et al (2012)	Asians	PB	102/30	ELISA	(28)
		HB	102/42	ELISA
Karadag et al (2011)	Caucasians	PB	63/25	ELISA	(29)
Zhou et al (2011)	Asians	HB	56/45	ELISA	(22)
			103/45	ELISA
Blasberg et al (2010)	Caucasians	HB	60/56	ELISA	(30)
Yin and Zhang (2009)	Asians	PB	80/40	ELISA	(31)
		HB	80/40	ELISA
Dong et al (2008)	Asians	PB	120/49	ELISA	(32)
		HB	120/23	ELISA
Weng and Fu (2007)	Asians	PB	48/40	ELISA	(33)
		HB	48/45	ELISA
Fedarko et al (2001)	Caucasians	PB	20/77	ELISA	(34)

PB, population-based; HB, hospital-based; ELISA, enzyme-linked immunosorbent assay.

OPN serum levels in lung neoplasm

Ten case-control studies referred to the OPN serum levels in lung neoplasm. The results of the correlation between the levels of OPN and lung neoplasm are shown in Fig. 2. Using the random effects model, we determined that there was heterogeneity (P<0.001). The meta-analysis results identified a positive association between OPN serum levels and lung neoplasm (SMD=5.59, 95% CI: 1.85–3.32, P<0.001). The subgroup analysis based on ethnicity suggested that a high level of serum OPN was the main risk factor for lung neoplasm in Asian populations (SMD=1.76, 95% CI: 1.24–2.29, P<0.001), but not in Caucasian populations (P=0.072) (Fig. 3). Further subgroup analyses by source of controls showed an obvious association between the levels of OPN and lung neoplasm in the population-based (PB) and hospital-based (HB) subgroups (all P<0.001) (Fig. 3).

Figure 2.

Forest plot for the relationship between serum levels of osteopontin and lung neoplasm patients. OPN, osteopontin; SMD, standardized mean difference; CI, confidence interval; ID, identity.

Figure 3.

(A and B) Subgroup analyses for the relationship between the serum levels of osteopontin and lung neoplasm patients. OPN, osteopontin; SMD, standardized mean difference; CI, confidence interval; ID, identity.

Sensitivity analysis and publication bias

Sensitivity analysis showed that the statistical indications changed slightly when the study of Zhou et al (22) or Yin and Zhang (31) was omitted. Therefore, the current meta-analysis data were inconsistent. The graphical funnel plots of the 10 studies are a little asymmetrical, and Egger's test shows a publication bias in the current meta-analysis (t=6.38, P<0.001) (data not shown).

Discussion

In this meta-analysis, we investigated the possible relationship between the serum levels of OPN and the development of lung neoplasm. Our results suggest that lung neoplasm patients have higher OPN serum levels, demonstrating that OPN serum levels may be important in the development of lung neoplasm. Previous findings have shown that there was a significant reverse correlation between OPN and overall and disease-free survival (20). Generally, OPN, an integrin-binding protein, is involved in numerous signaling pathways, such as cancer cell growth, adhesion, apoptosis, metastasis, proliferation, migration, invasion, and angiogenesis (7,35,36). OPN is capable of inducing cell invasion by markedly increasing the expression of Rho-associated kinase 1 (ROCK1), an upstream effector of LIMK/cofilin mediated by the FAK/PI3K/AKT pathway. ROCK1 inactivated cofilin by phosphorylating LIMK and cofilin which block lamellipodia formation. Thus, the invasion of lung neoplasm cells can be increased by OPN under stress conditions via the FAK/PI3K/AKT pathway and ROCK1 expression induction (16). Furthermore, OPN is involved in lung neoplasm angiogenesis because OPN expression in cancer tissue was positively correlated with microvascular density (37). In addition, the OPN level was correlated with αv integrin expression and the decreased apoptotic activity of lung adenocarcinomas cells (38). OPN also led to an obvious promotion of in vitro invasion and in vivo lung metastasis by increasing the levels of matrix metalloproteinase-2 and urokinase plasminogen activator (39). Thus, higher levels of OPN promotes tumor progression through invasion, angiogenesis, metastasis and inhibition of apoptosis. In concordance with our results, Zhang et al (40) identified that higher levels of OPN were positively associated with stage, lymph node metastasis, tumor size and pathology of lung neoplasms because of their anti-apoptotic or proliferative effects on lung neoplasm. Thus, OPN is a possible biomarker for lung neoplasm detection, prognosis, and even their apeutic intervention.

Given the fact that other factors may influence the relationship between serum OPN level and lung neoplasm, we conducted a stratified analysis based on ethnicity and source of controls. The subgroup analysis by ethnicity showed that higher serum levels of OPN were evident in Asians, while no similar result was observed among Caucasian populations. One possible explanation may be the different genetics and environments of the two ethnicities. Additionally, there was no obvious effect of source of controls on the relationship between OPN and ovarian neoplasm. Thus, higher serum levels of OPN remain strongly connected with the progression of ovarian neoplasm. This lends further credence to the creditability of the analysis as it indicates that the samples are random and well selected. Therefore, our results were partially consistent with the hypothesis that higher serum levels of OPN may have a strong connection with lung neoplasm, suggesting that the serum OPN level is an optimal marker for lung neoplasm identification and prognosis.

Limitations of this meta-analysis should be considered. First, possible selection biases were identified, there was a highly significant heterogeneity among the 10 evaluable articles. Additionally, the Egger's test showed a publication bias in our meta-analysis. Second, is that certain unpublished articles and abstracts were not taken into account as their data were not available, leading to potential publication bias in the present study. Language may also introduce a bias. Specifically, English or Chinese studies were selected while excluding qualified studies in other languages. A third potential limitation is that our meta-analysis was weakened by an inability to extract the original data from the included studies. Despite the above limitations, this is the first systematic review on the association of serum OPN levels with the risk of lung neoplasm. Application of a statistical approach to combine the results from multiple studies in this meta-analysis and to achieve strong results led to the research methods being carried out using strict inclusion and exclusion criteria, indicating the validity and significance of our conclusion.

In summary, the present meta-analysis indicates that increased serum levels of OPN may contribute to an aggressive progression of lung neoplasm. Based on the data obtained, OPN is a potentially useful marker for diagnosing lung neoplasms. Hoverer, in light of the limited sample size included and the potential for bias in the current study, additional investigations on serum OPN levels and lung neoplasms are needed.