Abstract
Purposes
Osteopontin (OPN), an extracellular matrix-secreted phosphorylated glycoprotein, has been reported overexpressed in many solid tumors. As an important part of lung cancer, the high recurrence of non-small cell lung cancer (NSCLC) also attracted great attention of scientists.
Methods
In this study, we investigated the expression of OPN and the relationship with prognosis of NSCLC patients. We measured the expression of OPN among 163 NSCLC samples by immunohistochemical method and compared the expression of these 28 matched cDNA between tumor and peritumoral tissue by real-time polymerase chain reaction.
Results
We demonstrated that the percentages of positive OPN expression is 66.8 % and OPN expression in tumor site was much higher than the tissue adjacent to carcinoma (p = 0.0046). By further analysis, we found that OPN expression was significantly correlated with poor prognosis of NSCLC. Moreover, for early-stage patients, OS and DFS rates of OPN (−) group were significantly higher than OPN (+) group. For advanced-stage patients, OPN expression was only associated with OS rates.
Conclusions
These results suggest that OPN is commonly expressed in NSCLC and may guide the evaluation of prognosis with NSCLC, especially for early-stage patients.
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Introduction
Lung cancer is the most common cancer in the world; approximately 80–85 % of cases are non-small cell lung cancer (NSCLC). The overall 5-year survival rate for lung cancer is 18 % (Siegel et al. 2014). Even for patients with early-stage disease who undergo surgical resection, the postoperative recurrence rate is higher than other types of cancer (Chansky et al. 2009). Our understanding of possible factors correlated outcome is still quite limited. While gender, age, differentiation, and TNM staging are the most important clinical factors (Hoffman et al. 2000), NSCLC patients with similar clinical factors can have difference in recurrence rates. This suggests that there is a significant biological heterogeneity and complexity of these tumors. Thus, it is essential to identify novel and useful biological tumor markers that might more accurately establish the prognosis of different patients and allow better comprehensive therapy for high-risk ones.
OPN is an extracellular matrix-secreted phosphorylated glycoprotein, which also called the transformation-related protein phosphatase. It was first found by Senger in the epithelial cell strain of malignant transformation (Senger et al. 1979). There is evidence, suggesting that osteopontin (OPN), a chemokine-like, calcified ECM-associated protein, may play an vital role in determining the metastatic potential of various cancers (Rangaswami et al. 2006). OPN promotes cell adhesion and migration by binding to the receptors aVβ3 integrins and CD44 (Denhardt and Guo 1993). OPN overexpression has been demonstrated in many human tumors, including carcinoma of breast, lung, liver, gastric, prostate, colon, and ovaries, as well as mesotheliomas and others tumors (Wai and Kuo 2008). While various studies have evaluated the relationship between OPN expression and prognosis among different types of cancer (Rudland et al. 2002; Bramwell et al. 2006; Conway et al. 2009; Hui et al. 2008), the impact of OPN on NSCLC outcome remains unclear (Jin et al. 2012; Hu et al. 2005). In the present work, we measured OPN expression in 163 cases of NSCLC and 28 matched tumor and peritumoral tissue and then evaluated the correlation between OPN and patient prognosis.
Materials and methods
Patients and tissue sample
Non-small cell lung cancer carcinoma tissues samples were studied from 163 patients who underwent complete pulmonary resection and systematic lymph node dissection (surgical resection) between 2004 and 2009 at the Cancer Institute and Hospital of Tianjin Medical University (China). Tumor differentiation was graded according to the Edmondson–Steiner grading system (Edmondson and Steiner 1954). Patients were classified according to the seventh edition of the International Union against Cancer (UICC) TNM staging. There were 104 males and 59 females, with ages ranging from 35 to 78 years (median age 62 years). Disease-free survival (DFS) and overall survival (OS) were calculated as the period from surgery until the date of disease recurrence or of death, respectively. All patients were followed up until October 31, 2013, and 54 patients were still alive at the close of the study.
Expression of OPN in NSCLC cancerous tissue
Immunohistochemical examination to detect OPN expression was performed with monoclonal anti-mouse OPN antibody at 1:100 dilution (SC-73631, Santa Cruz, CA). All the sections were routinely deparaffinized and rehydrated; then, the sections were rinsed in phosphate-buffered saline (PBS, pH = 7.4) and subsequently were treated for antigen retrieval. Sections were treated in saline sodium buffer (pH = 6.0) in an autoclave sterilizer. After cooling at room temperature for 30 min, the sections were rinsed in PBS and then immersed in 3 % H2O2 for 20 min to block the endogenous peroxidase activity. After being rinsed in PBS, the sections were incubated with normal bull serum albumin at 37 °C for 30 min to reduce nonspecific hydrophobic interactions. After interaction with OPN antibody overnight at 4 °C, the sections were rinsed in PBS and then incubated with secondary antibodies (Maxin, Fujian) and rinsed in PBS again. Nuclei were counterstained blue with hematoxylin. The sections were then dehydrated, made transparent, and covered with coverslips and sealed with neutral gum. PBS without the primary antibody was used as negative control.
Two pathologists blinded to the clinical data adjudicated whether the tumor tissue was positive for OPN expression. Expression was quantified as the percentage of tumor cells with cytoplasmic immunoreactivity and staining intensity (0, negative; 1, weak; 2, intermediate; and 3, strong) by counting at least 1,000 cancer cells (100 cells in 10 HPF) for each section (0, none; 1, <10 %; 2, 10–30 %; and 3, >30 %). A mean score exceeding 3 was defined as positive (Zhang et al. 2001).
Real-time quantitative PCR analysis
Twenty-eight matched cDNA samples of tumor site and the peritumoral tissue from the 163 patients were selected randomly. The levels of OPN expression were detected using quantitative polymerase chain reaction (PCR). PCR was performed using 7500 Real-Time PCR System (Applied Biosystems, Carlsbad, CA). Samples were assayed in 20 μl reaction mixture containing 2 μl cDNA, 0.8 μl of 10 μM PCR Forward Primers and Reverse Primer, 10 μl of 2X SYBR Premix Ex Tap II master mixes (TaKaRa Biosystems, Japan), and 2 μl of molecular grade H2O. β-ACTION was used as a normalization control. The amplifications were performed for 40 cycles with annealing at 95 °C for 5 s and 60 °C for 34 s. Samples were run in triplicate including negative controls. Relative quantification (2−ΔΔCT method) was performed to determine the change in gene expression levels.
Statistical analysis
Data analysis was carried out using 20.0 SPSS software (SPSS Inc, Chicago, IL, USA). Categorical variables were analyzed with the Chi-square test. Univariate survival analysis was performed by modeling Kaplan–Meier survival curves and the log-rank test used to evaluate the statistical significance of differences in survival distributions. Multivariate analysis was tested by Cox proportional hazard model with patients surviving at the study end censored. Results were considered statistically significant if p < 0.05.
Results
OPN expression in NSCLC tissues
There were 104 male patients and 59 female patients with a mean age of 61.6 years (range 35–78 years; median age 62 years). There were 92 cases (56.4 %) of squamous cell carcinoma and 71 cases of adenocarcinoma (43.6 %). There were 44 TNM stage I, 42 stage II, 54 stage III, and 23 stage IV patients. A total of 123 (75.4 %) patients relapsed during follow-up. At the end of the follow-up, 54 patients (33.13 %) were alive, while 109 (66.87 %) had died.
Osteopontin staining was seen mainly in the cytoplasm. Among the 163 patients, positive OPN expression was observed in 66.87 % (109/163) case of NSCLC cancerous tissue (Fig. 1). The percentages of positive OPN expression of squamous cell carcinoma and adenocarcinoma were 57.6 % (53/92) and 78.9 % (56/71), respectively (p = 0.004). OPN expression was much higher in tumor versus adjacent tissue by real-time PCR (p = 0.0046, t = 2.955) as shown in Fig. 2.
Relationship between OPN expression and clinicopathological data
The associations between clinicopathologic features and the expression of OPN levels are shown in Table 1. The percentages of OPN positive samples among the TNM stage I–II and III–IV patients were 55.8 % (48/86) and 79.2 % (61/77), respectively (p = 0.002). OPN expression in adenocarcinoma was significantly higher than that in squamous cell carcinoma (p = 0.004) and was associated with numbers of involved nodes (p < 0.001), lymph node staging (p = 0.028), stages of TNM (p = 0.001), and recurrence of statue (p < 0.001), but not with gender, age, smoking, and metastasis status.
Prognostic significance of OPN expression in NSCLC patients
For the entire study population, the 5-year OS and DFS rates were 39.9 % and 31.3 %, respectively. The 5-year OS rate in patients in the OPN (−) group was significantly higher than that of OPN (+) group (p < 0.001, χ 2 = 18.805). Moreover, the difference of 5-year DFS rate among them was also significant (p < 0.001, χ 2 = 26.412; Fig. 3). Univariate analysis showed that lymph node staging, number of involved nodes, TNM stage, OPN expression, and histologic subtype (adenocarcinoma) were unfavorable prognostic factors for OS and DFS (Table 2). Furthermore, multivariate analysis found that lymph node staging, TNM stages, and OPN expression were independently prognostic factors for OS and DFS (p < 0.05; Table 3).
Clinicopathologic characteristics and prognostic significance of OPN expression for patients with the TNM stage I–II NSCLC
Clinicopathologic features of patients with the TNM stage I–II NSCLC are summarized in Table 4. OPN expression was correlated with tumor recurrence after surgical resection (p < 0.001, χ 2 = 18.347) in the TNM stage I–II NSCLC, but not with histologic subtype, lymph node metastasis, numbers of involved nodes, and lymph node staging.
For the patients with the TNM stage I–II NSCLC, the 5-year OS and DFS rates were 59.7 % (52/87) and 49.4 % (43/87). The 5-year OS rate in the OPN (−) group was significantly higher than that of the OPN (+) group (p = 0.012, χ 2 = 6.282). There is also difference of 5-year DFS rate between the OPN (−) group and the OPN (+) group (p < 0.001, χ 2 = 18.844; Fig. 4).
For patients with the TNM stage III–IV NSCLC, the 5-year OS and DFS rates were 17.1 % (13/76) and 10.5 % (8/76), respectively. OPN expression was associated with 5-year OS rate between the OPN (−) group and OPN (+) group (p = 0.046, χ 2 = 3.976), but were not correlated with 5-year DFS rate (p = 0.147, χ 2 = 2.105).
Discussion
In this study, we measured the expression of OPN in 163 NSCLC patients using IHC method and detected the expression of OPN in 28 cases paired of NSCLC tumor tissues versus adjacent tissues by real-time PCR and verified that OPN is highly expressed in cancerous tissues. In the present patient cohort, the positive OPN expression was 66.8 %, and we found that OPN expression was not only associated with histologic subtype, numbers of involved nodes, and the statue of recurrence, but also closely related to the prognosis of different stage patients with NSCLC.
Osteopontin is commonly overexpressed in many solid cancers and contributes to tumor formation and progression (El-Tanani 2008). Previous studies have also found a correlation between plasma OPN, tumor burden, and poor prognosis in patients with cancer metastasis (Jin et al. 2012; Pan et al. 2003; Mack et al. 2008). However, OPN expression used as a single biomarker for NSCLC prognosis, especially for the TNM stage I–II, was not assessed (Coppola et al. 2004). In our study, the percentages of OPN positive samples among the TNM stage I–II and III–IV patients were 55.8 % (48/86) and 79.2 % (61/77), respectively. Moreover, for patients with the TNM stage I–II NSCLC, OPN expression was significantly associated with lower OS rate and DFS rate, while for patients with the TNM stage III–IV, OPN expression was associated with lower OS rate, but was not correlated with DFS rate. These results suggest that the statue of OPN expression to predict the prognosis of patients with early stage of NSCLC is more important than advanced-stage patients.
Cancer progression depends on an accumulation of genetic and epigenetic modifications and is regulated by multiple cell signaling molecules (Bogenrieder and Herlyn 2003). Transcriptional regulation of OPN is complex and involves multiple pathways, including AP-1, Myc, v-Src, Runx/CBF, TGF-B/BMPs/Smad/Hox, and Wnt/β–catenin/APC/GSK–3β/Tcf-4 (Wai and Kuo 2008). OPN may be one of important molecules to promote tumor progression, assess recurrence risk, and predict the prognosis of patients (Anborgh et al. 2010; Johnston et al. 2008). Recently, Sun et al. (2013) reported that OPN was an independent and unfavorable predictor for OS and DFS in NSCLC. Their results agree with our own, and furthermore, our study documented that OPN expression was remarkably associated with increased risk of the recurrence after resection for early stage of NSCLC patients. Combined with other commonly recognized tumor markers, OPN can offer more effective and more accurate information about early disease progression and prognosis for NSCLC patients (Weber 2011).
In conclusion, our study suggest that OPN expression in NSCLC tumor tissue may be an effective predictor of prognosis, especially the risk of recurrence and prognosis of early stage of NSCLC patients. It may also provide guidance for individualized treatment patients at high risk of recurrence and potentially reduce tumor recurrence and prolong survival time. As a preliminary study, we plan to make a further research so as to explore the mechanism of OPN promote tumor metastasis on the basis of this study.
References
Anborgh PH, Mutrie JC, Tuck AB, Chambers AF (2010) Role of the metastasis-promoting protein osteopontin in the tumour microenvironment. J Cell Mol Med 14(8):2037–2044
Bogenrieder T, Herlyn M (2003) Axis of evil: molecular mechanisms of cancer metastasis. Oncogene 22(42):6524–6536
Bramwell VH, Doig GS, Tuck AB, Wilson SM, Tonkin KS, Tomiak A, Perera F, Vandenberg TA, Chambers AF (2006) Serial plasma osteopontin levels have prognostic value in metastatic breast cancer. Clin Cancer Res 12(11 Pt 1):3337–3343
Chansky K, Sculier JP, Crowley JJ, Giroux D, Van Meerbeeck J, Goldstraw P (2009) The International Association for the Study of Lung Cancer Staging Project: prognostic factors and pathologic TNM stage in surgically managed non-small cell lung cancer. J Thorac Oncol 4(7):792–801
Conway C, Mitra A, Jewell R, Randerson-Moor J, Lobo S, Nsengimana J, Edward S, Sanders DS, Cook M, Powell B, Boon A, Elliott F, de Kort F, Knowles MA, Bishop DT, Newton-Bishop J (2009) Gene expression profiling of paraffin-embedded primary melanoma using the DASL assay identifies increased osteopontin expression as predictive of reduced relapse-free survival. Clin Cancer Res 15(22):6939–6946
Coppola D, Szabo M, Boulware D, Muraca P, Alsarra M, Chambers AF, Yeatman TJ (2004) Correlation of osteopontin protein expression and pathological stage across a wide variety of tumor histologies. Clin Cancer Res 10:184–190
Denhardt DT, Guo X (1993) Osteopontin: a protein with diverse functions. FASEB J 7(15):1475–1482
Edmondson HA, Steiner PE (1954) Primary carcinoma of the liver: a study of 100 cases among 48,900 necropsies. Cancer 7:462–503
El-Tanani MK (2008) Role of osteopontin in cellular signaling and metastatic phenotype. Front Biosci 13:4276–4284
Hoffman PC, Mauer AM, Vokes EE (2000) Lung cancer. Lancet 355(9202):479–485
Hu Z, Lin D, Yuan J, Xiao T, Zhang H, Sun W, Han N, Ma Y, Di X, Gao M, Ma J, Zhang J, Cheng S, Gao Y (2005) Overexpression of osteopontin is associated with more aggressive phenotypes in human non-small cell lung cancer. Clin Cancer Res 11(13):4646–4652
Hui EP, Sung FL, Yu BK, Wong CS, Ma BB, Lin X, Chan A, Wong WL, Chan AT (2008) Plasma osteopontin, hypoxia, and response to radiotherapy in nasopharyngeal cancer. Clin Cancer Res 14(21):7080–7087
Jin Y, Tong DY, Tang LY, Chen JN, Zhou J, Feng ZY, Shao CK (2012) Expressions of osteopontin (OPN), alphanubeta3 and Pim-1 associated with poor prognosis in non-small cell lung cancer (NSCLC). Chin J Cancer Res 24(2):103–108
Johnston NI, Gunasekharan VK, Ravindranath A, O’Connell C, Johnston PG, El-Tanani MK (2008) Osteopontin as a target for cancer therapy. Front Biosci 13:4361–4372
Mack PC, Redman MW, Chansky K, Williamson SK, Farneth NC, Lara PN Jr, Franklin WA, Le QT, Crowley JJ, Gandara DR (2008) Lower osteopontin plasma levels are associated with superior outcomes in advanced non-small-cell lung cancer patients receiving platinum-based chemotherapy: SWOG Study S0003. J Clin Oncol 26(29):4771–4776
Pan HW, Ou YH, Peng SY, Liu SH, Lai PL, Lee PH, Sheu JC, Chen CL, Hsu HC (2003) Overexpression of osteopontin is associated with intrahepatic metastasis, early recurrence, and poorer prognosis of surgically resected hepatocellular carcinoma. Cancer 98:119–127
Rangaswami H, Bulbule A, Kundu GC (2006) Osteopontin: role in cell signaling and cancer progression. Trends Cell Biol 16:79–87
Rudland PS, Platt-Higgins A, El-Tanani M, De Silva Rudland S, Barraclough R, Winstanley JH, Howitt R, West CR (2002) Prognostic significance of the metastasis-associated protein osteopontin in human breast cancer. Cancer Res 62(12):3417–3427
Senger DR, Wirth DF, Hynes RO (1979) Transformed mammalian cells secrete specific proteins and phosphoproteins. Cell 16(4):885–893
Siegel R, Ma J, Zou Z, Jamal A (2014) Cancer statistics, 2014. CA Cancer J Clin 64(1):9–29
Sun BS, Li Y, Zhang ZF, You J, Wang CL (2013) Osteopontin combined with CD44v6, a novel prognostic biomarker in non-small cell lung cancer undergoing curative resection. Ann Thorac Surg 96:1943–1951
Wai PY, Kuo PC (2008) Osteopontin: regulation in tumor metastasis. Cancer Metastasis Rev 27(1):103–118
Weber GF (2011) The cancer biomarker osteopontin: combination with other markers. Cancer Genomics Proteomics 8(6):263–288
Zhang J, Takahashi K, Takahashi F, Shimizu K, Ohshita F, Kameda Y, Maeda K, Nishio K, Fukuchi Y (2001) Differential osteopontin expression in lung cancer. Cancer Lett 171(2):215–222
Acknowledgments
This work was supported by grants from National Basic Research Program of China (973 Program, No. 2012CB9333004), Natural Science Foundation of China (Grant No. 81401887) and Tianjin Natural Science Foundation (No. 14JCQNJC11500, No. 12JCYBJC16100). We thank John E. Anderson, M.D. from Johns Hopkins University for critical reading of the manuscript.
Conflict of interest
No conflict of interest exits in the submission of this manuscript, and manuscript is approved by all authors for publication. I would like to declare on behalf of my co-authors that the work described was original research that has not been published previously, and not under consideration for publication elsewhere, in whole or in part. All the authors listed have approved the manuscript that is enclosed.
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Ci Hui Yan and Mengguo Lv contribute equally as first authors.
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Yan, C.H., Lv, M., Li, H. et al. Osteopontin is a novel prognostic biomarker in early-stage non-small cell lung cancer after surgical resection. J Cancer Res Clin Oncol 141, 1371–1378 (2015). https://doi.org/10.1007/s00432-014-1902-1
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DOI: https://doi.org/10.1007/s00432-014-1902-1