Expression of osteoprotegerin and osteoprotegerin ligand in giant cell tumor of bone and its clinical significance

  • Authors:
    • Xiuchun Yu
    • Weiqing Kong
    • Kai Zheng
  • View Affiliations

  • Published online on: February 19, 2013     https://doi.org/10.3892/ol.2013.1199
  • Pages: 1133-1139
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

In this study, we used a substance P (SP) immunohistochemical method to analyze the expression localization of osteoprotegerin (OPG) and osteoprotegerin ligand (OPGL) in giant cell tumor (GCT) of the bone, and to detect the clinical significance of their expression. The data showed that the positive expression rate of OPG in the multinucleated giant cells (MGCs) and stromal cells (STCs) of GCT was 80.65 and 74.19%, respectively. The positive expression rate of OPG in MGCs was correlated with age and prognosis (P<0.05), but not in STCs. The strength of positive OPG expression in MGCs and STCs was negatively correlated with prognosis (rs=‑0.397, P<0.05; rs=‑0.390, P<0.05, respectively). The positive expression rate of OPGL in the MGCs and STCs was 41.94 and 67.74%, respectively. The positive expression rate of OPGL in the MGCs was correlated with age and prognosis (P<0.05); the strength of OPGL expression in MGCs was positively correlated with Campanicci's grade and recurrence. Additionally, the positive expression rate of OPGL in STCs was correlated with age and Jaffe's grade (P<0.05). The strength of OPGL expression in STCs was negatively correlated with Jaffe's grade (rs=‑0.534, P<0.05). In conclusion, OPG and OPGL are expressed in MGCs and STCs in GCT of the bone. The invasion of tumor cells was positively correlated with OPGL in MGCs, which confirmed that MGCs participate in the process of osteolytic destruction of GCT of bone.

Introduction

Giant cell tumor (GCT) of the bone is an osteolytic tumor that is potentially malignant or is between benign and malignant, and is characterized by local invasive destruction of bone (1) and a high post-curettage recurrence rate (2). The mechanisms underlying the osteolytic destruction of bone have been demonstrated (2,3). Tumor cells directly or indirectly stimulate the differentiation and maturation of osteoclasts and promote bone resorption. However, multiple growth factors released from the bone matrix promote tumor cell seeding in the bone tissue, which in turn exacerbates the invasive growth of tumor cells in the bone tissue. During this process, the activation of osteoclasts is the key step. It has been suggested that the osteoprotegerin (OPG)/receptor activator of NF-κB (RANK)/RANK ligand (RANKL) system is vital for the osteolytic destruction of bones mediated by osteoclasts (3,4). Hence, the involvement of the OPG/RANK/RANKL system in the osteolytic features of GCT has received increasing attention from orthopedists. In the present study, we investigated the expression of OPG and OPG ligand (OPGL) in GCT by immunohistochemical analysis, to explore the correlation between their expression and tumor invasiveness. Our study provides molecular biological evidence for the clinical application of bisphosphonate drugs in the treatment of GCT.

Materials and methods

Clinical data

The present study included 18 male and 13 female patients with an average age of 35.19 years (range, 13–78 years). The study was approved by the Ethics Committee of the Orthopedic Department, The General Hospital of Jinan Militray Commanding Region, Jinan, Shandong, China. Written informed consent was obtained from the patients and patient’s family. Of the 31 patients, there were 9 cases of distal femur tumor, 9 cases of proximal tibia, 4 cases of proximal femur, 3 cases of proximal humerus, 2 cases of iliac, 1 case of distal radius, 1 case of distal ulna, 1 case of pubis and 1 case of calcaneus. According to Jaffe’s classification criteria, there were 12 cases of class I, 17 cases of class II and 2 cases of class III tumors. Based on Campanicci’s radiological classification criteria, there were 7 cases of class I, 16 cases of class II and 8 cases of class III tumors. All patients were treated with tumor curettage and bone grafting surgeries performed by the same surgical group.

All 31 patients received follow-up surveys for an average duration of 76 months (range, 24–124 months). No metastasis was observed. Eight patients exhibited recurrence, and the second surgery included 1 case of tumor curettage and bone grafting, 4 cases of tumor resection and prosthesis replacement, 1 case of tumor resection and inactivated replantation,and 1 case of extended tumor resection. Following secondary surgery, the 8 patients received follow-up for an average duration of 50 months (range, 20–124 months), and no metastasis or recurrence was observed.

Immunohistochemical analysis of the expression of OPG and OPGL in GCT

Polyclonal rabbit anti-human antibodies specific for OPG and OPGL were purchased from Boshide (Wuhan, China). The substance P (SP; rabbit) immunohistochemistry kit was purchased from Zhongshanjingqiao Biotechnical Co., Ltd. (Beijing, China).

H&E-stained slices of the 31 GCT pathological specimens were reviewed and typical paraffin-embedded samples were selected for analysis. The 31 representative samples were used to prepare 3 paraffin sections with a thickness of 4 μm for H&E staining and OPG/OPGL analysis. All methods were performed according to the manufacturer’s instructions. The slice with positive expression was used as the positive control. The negative control was established with the primary antibody replaced by phosphate-buffered saline (PBS).

Both OPG and OPGL were expressed in stromal cells (STCs) and multinucleated giant cells (MGCs). Positive expression was determined by yellow, brown and tan particles on the plasma membrane or in the cytosol (Figs. 15). The slices were scored based on the integrated staining intensity and positive cell number. The slices with the highest score were selected for microscopic analysis. For each slice, 10 high magnification fields (10×40) were randomly selected to analyze 100 cells per field (1,000 tumor cells for 10 fields). The criteria used to determine the OPG and OPGL expression were described previously (5). The cells were scored based on the staining intensity of the plasma membrane and cytosol, and the percentage of stained cells. The cell was negative if the product of the two scores was ≤3, weakly positive if the product was between 4 and 6 (+), positive if the product was 7 or 8 (++), and strongly positive if the product was between 9 and 12 (+++).

Statistical analysis

The Wilcoxon rank-sum test, Kruskal-Wallis H test and Spearman’s correlation method were used to analyze the correlation of the OPG and OPGL expression levels with age, gender, tumor site, Jaffe’s class, Campanicci’s class and prognosis. All data analysis was performed using SPSS 17.0 software (SPSS, Inc., Chicago, IL, USA). P<0.05 was considered to indicate a statistically significant difference.

Results

Expression of OPG in the GCT
Correlation between OPG expression in the MGCs and clinical pathological characteristics

Of the 31 cases of GCT, 25 exhibited positive OPG expression in the MGCs, and 6 demonstrated negative expression. The OPG positive expression rate was 80.65%. Further analysis revealed that the expression of OPG in the MGCs was not correlated with gender, tumor site, Jaffe’s class or Campanicci’s class (P>0.05). The patients between 21 and 40 years demonstrated a positive rate of 94.74%, which was significantly higher than that of the other two age groups (P<0.05). Notably, the expression of OPG in the MGCs was correlated with recurrence (P<0.05; Table I).

Table I

Correlation between the expression of OPG in MGCs and clinical pathology.

Table I

Correlation between the expression of OPG in MGCs and clinical pathology.

CategoryNo. of patientsOPG expression in MGCs
Z or HcP-value
PositiveNegativeRate (%)
Gender
  Male1815383.330.4390.661
  Female1310376.92
Age (years)
  ≤2041325.0010.1760.006
  21–401918194.74
  >4086275.00
Tumor site
  Surrounding knee joint1815383.330.4390.661
  Other1310376.92
Jaffe’s grading
  I1210283.330.7020.704
  II1713476.47
  III220100.00
Campanicci’s grading
  I74357.143.0960.213
  II1614287.50
  III87187.50
Prognosis
  Cured2321291.302.5060.012
  Recurrence84450.00

[i] Wilcoxon rank sum test (Z) or Kruskal-Wallis H test (Hc). OPG, osteoprotegerin; MGCs, multinucleated giant cells.

Correlation between OPG expression in the STCs and clinical pathological characteristics

Of the 31 cases of GCT, 23 demonstrated positive OPG expression in the STCs, and 8 exhibited negative expression. The OPG positive expression rate was 74.19%. Further analysis revealed that the expression of OPG in the STCs was not correlated with gender, age, tumor site, Jaffe’s class, Campanicci’s class or prognosis (P>0.05; Table II).

Table II

Correlation between expression of OPG in STCs and clinical pathology.

Table II

Correlation between expression of OPG in STCs and clinical pathology.

CategoryNo. of patientsOPG expression in STCs
Z or HcP-value
PositiveNegativeRate (%)
Gender
  Male1813572.220.2900.828
  Female1310376.92
Age (years)
  ≤2042250.002.7000.259
  21–401916384.21
  >4085362.50
Tumor site
  Surrounding knee joint1814477.781.8800.060
  Other139469.23
Jaffe’s grading
  I129375.000.7890.674
  II1712570.59
  III220100.00
Campanicci’s grading
  I74357.141.7500.417
  II1612475.00
  III87187.50
Prognosis
  Cured2319482.611.7860.074
  Recurrence84450.00

[i] Wilcoxon rank sum test (Z) or Kruskal-Wallis H test (Hc). OPG, osteoprotegerin; STCs, stromal cells.

Correlation between OPG expression in the GCT and clinical pathological characteristics

The Spearman’s analysis revealed that the expression of OPG in the MGCs and the STCs was not correlated with gender, age, tumor site, Jaffe’s class or Campanicci’s class (P>0.05); however, it was negatively correlated with prognosis (rs=−0.397 and P=0.027 for MGCs; rs=−0.390 and P=0.030 for STCs).

Expression of OPGL in the GCT
Correlation between OPGL expression in the MGCs and clinical pathological characteristics

Of the 31 cases of GCT, 13 demonstrated positive OPGL expression in the MGCs, and 18 had negative expression. The OPG positive expression rate was 41.94%. Further analysis revealed that the expression of OPGL in the MGCs was not correlated with gender, tumor site, Jaffe’s class or Campanicci’s class (P>0.05). The patients <20 years demonstrated a positive rate of 100%, which was significantly higher than that of the other two age groups (P<0.05). Notably, the expression of OPGL in the MGCs was correlated with recurrence (P<0.05; Table III).

Table III

Correlation between expression of OPGL in MGCs and clinical pathology.

Table III

Correlation between expression of OPGL in MGCs and clinical pathology.

CategoryNo. of patientsOPG expression in MGCs
Z or HcP-value
PositiveNegativeRate (%)
Gender
  Male189950.001.0530.292
  Female134930.76
Age (years)
  ≤20440100.006.2320.044
  21–401961331.58
  >4083537.50
Tumor site
  Surrounding knee joint1871138.890.3980.691
  Other136746.15
Jaffe’s grading
  I124833.333.5360.171
  II179852.94
  III2020
Campanicci’s grading
  I72528.574.6990.095
  II1651131.25
  III86275.00
Prognosis
  Cured2371630.432.1650.030
  Recurrence86275.00

[i] Wilcoxon rank sum test (Z) or Kruskal-Wallis H test (Hc). OPGL, osteoprotegerin ligand; MGCs, multinucleated giant cells.

The correlation between OPGL expression in the STCs and clinical pathological characteristics

Of the 31 cases of GCT, 21 exhibited positive OPGL expression in the STCs, and 10 demonstrated negative expression. The OPG-positive rate was 67.74%. Further analysis revealed that the expression of OPGL in the STCs was not correlated with gender, tumor site, Campanicci’s class or prognosis (P>0.05). The patients between 21 and 40 years demonstrated a positive rate of 84.21%, which was significantly higher than that of the other two age groups (P<0.05). Importantly, the OPGL positive expression rate was significantly higher in the Jaffe’s class I group (91.67%) than in the Jaffe’s class II and III groups (P<0.05; Table IV).

Table IV

Correlation between expression of OPGL in STCs and clinical pathology.

Table IV

Correlation between expression of OPGL in STCs and clinical pathology.

CategoryNo. of patientsOPG expression in STCs
Z or HcP-value
PositiveNegativeRate (%)
Gender
  Male1811761.110.9140.361
  Female1310376.92
Age (years)
  ≤2041325.006.6330.036
  21–401916384.21
  >4084450.00
Tumor site
  Surrounding knee joint1814477.781.3840.166
  Other137653.85
Jaffe’s grading
  I1211191.677.7050.021
  II1710758.82
  III2020
Campanicci’s grading
  I75271.434.5750.102
  II1613381.25
  III83537.50
Prognosis
  Cured2315865.220.5020.616
  Recurrence86275.00

[i] Wilcoxon rank sum test (Z) or Kruskal-Wallis H test (Hc). OPGL, osteoprotegerin ligand; STCs, stromal cells.

Correlation between OPGL expression in the GCT and clinical pathological characteristics

The Spearman’s analysis revealed that the expression of OPGL in the MGCs was not correlated with gender, age, tumor site, Jaffe’s class or prognosis (P>0.05), but it was positively correlated with Campanicci’s class (rs= 0.377, P= 0.037). The expression of OPGL in the STCs was not correlated with gender, age, tumor site, Campanicci’s class or prognosis (P>0.05), but it was negatively correlated with Jaffe’s class (rs=−0.534, P=0.002).

Discussion

GCT is a common type of primary bone tumor and accounts for 5–8% of the incidence of bone tumors. GCT commonly occurs in 20 to 50-year-old individuals, and is mostly focused on the metaphysis, particularly around the knee (∼65%). The invasion of the GCT is mainly due to the osteolytic destruction of the local bone. At present, the major surgical approaches for GCT treatment include intralesional excision and en bloc or wide resection. Intralesional excision has been used as the primary approach for the treatment of GCT, but the recurrence rate is as high as 20–50%. Wide excision is able to reduce the recurrence rate, but the frequent occurrence of long-term complications reduces the clinical efficacy. Although the development of bisphosphonate drugs has provided a potent method for retaining the joints of the patients and for improving the clinical efficacy, limited information is available regarding the mechanisms underlying the effects of these drugs. In the present study, we retrospectively analyzed 31 patients with complete clinical data for the past 10 years to provide scientific evidence for the clinical use of bisphosphonate drugs. We investigated the expression of OPG and OPGL in the GCTs using immunohistochemical analysis, to explore the correlation between their expression and the clinical characteristics of the tumor.

OPG is a soluble protein secreted by osteoblasts and bone marrow stromal cells. OPG is also a decoy receptor, with OPGL (also known as RANKL) as its ligand. By binding to the RANKL secreted by the bone marrow stromal cells, OPG blocks the interaction between RANKL and RANK, and subsequently acts to inhibit the differentiation of osteoclasts and the bone resorption activity of mature osteoclasts. In this way, OPG is able to induce the apoptosis of osteoclasts, reduce bone resorption and protect the bone. In addition, OPG is a member of the TNF receptor superfamily, and is capable of binding to TNF ligands.

RANKL is mainly expressed in osteoblasts and bone marrow stromal cells. RANKL binds to the plasma membrane, and is subsequently localized on the surface of osteoblasts and bone marrow stromal cells. The receptor of RANKL is RANK, which is usually localized to the surface of osteoclast precursors. In the presence of macrophage colony stimulating factor (M-CSF), when the osteoclast precursors and osteoblasts or bone marrow stromal cells come into contact with each other, RANKL binds to RANK on the surface of the osteoclasts and subsequently induces the activation and differentiation of the osteoclasts through the intracellular signaling pathway. RANKL can simultaneously enhance the activity of the mature osteoclasts and prevent osteoclast apoptosis. Therefore, bone destruction caused by RANKL-mediated osteoclast activation is necessary for the invasive growth of tumors.

The expression of OPG and OPGL in GCTs has been demonstrated. Guo et al(6) found that OPG is enriched in all types of GCT cells. Meng et al(7) found that the OPG protein is expressed in the MGCs and some STCs in GCTs. Hu et al(8) and Liu et al(9) both demonstrated that OPG is located in the MGCs and STCs of GCTs, indicating that a negative feedback mechanism exists in GCT and acts to inhibit osteoclast formation and bone resorption. However, this feedback is likely to be insufficient to counteract the effect of RANK. Hence, bone resorption may still occur in the GCT tissues, of which the clinical symptom is bone destruction.

Atkins et al(10) isolated STCs in the GCT, using RT-PCR assay, and detected the expression of RANKL mRNA. Huang et al(11) found that RANKL is mainly expressed in the STCs, using the fluorescence in situ hybridization assay. Hu et al(8) revealed that RANKL mRNA is enriched in GCTs, and the ratio of RANKL mRNA to GAPDH is greater compared with in normal bone tissues. Roux et al(12) demonstrated that RANKL is expressed in the STCs and confirmed that it is secreted by these cells, using immunohistochemical assay. Zhu et al(13) performed immunohistochemical analysis and found that RANKL is expressed in both the MGCs and STCs in GCTs. In Zhu et al, 23 of the 44 GCT cases had RANKL-positive STCs and 10 cases exhibited RANKL-positive MGCs, with a positive rate of 52 and 23%, respectively. Furthermore, the RANKL expression in the STCs was negatively correlated with Jaffe’s class, which was consistent with the morphological observation of reduced NGC number, further indicating that RANKL is a key molecule for the formation of MGCs.

In the present study, we found that OPG and OPGL were expressed in both the MGCs and the STCs in the GCTs. OPG exhibited a positive rate of 80.65% in the MGCs and 74.19% in the STCs. OPGL demonstrated a positive rate of 41.94% in the MGCs and 67.74% in the STCs, which were significantly different. Statistical analysis revealed that the positive rate and expression level of OPG and OPGL in the MGCs and the STCs were correlated with multiple clinical characteristics, which is consistent with previous studies. We also observed the following results:

Firstly, the positive rate and expression level of OPG and OPGL were different among the three age groups. The positive rate of OPG in the MGCs was significantly higher in the 21 to 40-year-old patient group (94.74%) than in the other two age groups (P<0.05). The positive rate of OPGL in the STCs was significantly higher in the 21 to 40-year-old patient group (84.21%) than in the other two age groups (P<0.05). The positive rate of OPGL in the MGCs was significantly higher in the ≤20-year-old patient group (100.00%) than in the other two age groups (P<0.05). These results indicated that the MGCs were the main cause of bone destruction during the course of the GCT before the age of 20 years, while the STCs were the key reason for the bone destruction between the ages of 21 and 40 years.

Secondly, the expression of OPG and OPGL in different types of cells in the GCT was able to affect the prognosis. The positive rate of OPG in the MGCs was significantly higher for the non-recurrence group (91.30%) than for the recurrence group (50.00%; P<0.05). The expression level of OPG in the MGCs and STCs was negatively correlated with prognosis (rs=−0.397, P= 0.027; rs=−0.390, P= 0.030, respectively). Notably, the higher the OPG expression level in the MGCs and STCs, the higher the recurrence probability observed. The positive rate of OPGL in the MGCs was significantly higher for the recurrence group than for the non-recurrence group (P<0.05), indicating that the expression of OPG in the MGCs may be used as an important indicator for the prognosis.

Thirdly, the expression of OPGL in different types of cells in the GCT was correlated with classification. The OPGL positive expression rate of the STCs was significantly higher in the Jaffe’s class I GCT (91.67%) than in the Jaffe’s class II and III GCT (P<0.05). In the MGCs, the expression level of OPGL was positively correlated with Campanicci’s classification (rs= 0.377, P= 0.037); whereas in the STCs, the expression level of OPGL was negatively correlated to the Jaffe’s classification (rs=−0.534, P=0.002). These results indicated that MGCs and STCs have different biological functions. Although it has been suggested that GCT is mainly composed of STCs and the MGCs are only responsive cells, the origin, properties and functions of MGCs remain unclear. It has been suggested that MGCs play the role of osteoclasts. Thompson et al(14) proposed that MGCs are foreign body giant cells. Liu et al(15), found that MGCs are functionally analogous to osteoclasts, using immunohistochemical staining and enzyme staining assays, and suggested that MGCs are a type of osteoclast-like multinucleated giant cell that has bone resorption activity. In the present study, our results further suggested that MGCs are likely to directly induce osteolytic bone destruction. Furthermore, RANKL was able to regulate the differentiation and maturation of the MGCs, to a certain extent, indicating that RANKL is closely associated with bone destruction. Our observation is consistent with that of Atkins et al, in that the osteolytic bone destruction of GCTs is mediated by the OPG/RANK/RANKL signaling system (16).

References

1 

Wülling M, Delling G and Kaiser E: The origin of the neoplastic stromal cell in giant cell tumor of bone. Hum Pathol. 34:983–993. 2003.PubMed/NCBI

2 

Turcotte RE, Wunder JS, Isler MH, Bell RS, Schachar N, Masri BA, Moreau G and Davis AM: Giant cell tumor of long bone: a Canadian Sarcoma Group study. Clin Orthop Relat Res. 397:248–258. 2002. View Article : Google Scholar : PubMed/NCBI

3 

Yasuda H, Shima N, Nakagawa N, Yamaguchi K, Kinosaki M, Goto M, Mochizuki SI, Tsuda E, Morinaga T, Udagawa N, et al: A novel molecular mechanism modulating osteoclast differentiation and function. Bone. 25:109–113. 1999. View Article : Google Scholar : PubMed/NCBI

4 

Takahashi N, Udagawa N and Suda T: A new member of tumor necrosis factor ligand family, ODFI/OPGL/TRANCE/RANKL, regulates osteoclast differentiation and function. Biochem Biophys Res Comm. 256:449–455. 1999. View Article : Google Scholar : PubMed/NCBI

5 

Xu LZ and Yang WT: The criteria of immunohistochemistry reaction results. China Oncology. 6:229–231. 1996.

6 

Guo J, Wang Y, Ni J, Yang ZY, Huang JX and Bai JZ: Expression and role of osteoclast differentiation associated cytokine in giant cell tumors. Chinese J of CRTER. 11:242–246. 2007.

7 

Meng XM, Yu SF and Wei MJ: Expression of receptor activator of NF-kappa B ligand and osteoprotegerin protein in the giant cell lesions of jaw. Chinese J of Stomatology. 40:294–297. 2005.(In Chinese).

8 

Hu Y and Yu S: Gene expression of osteoprotegerin and osteoclast differentiation factor in giant cell tumor. Chinese J of Pathology. 31:128–131. 2002.PubMed/NCBI

9 

Liu B, Yu SF and Li TJ: Multinucleated giant cells in various forms of giant cell containing lesions of the jaws express features of osteoclasts. J Oral Pathol Med. 32:367–375. 2003. View Article : Google Scholar : PubMed/NCBI

10 

Atkins GJ, Haynes DR, Graves SE, Evdokiou A, Hay S, Bouralexis S and Findlay DM: Expression of osteoclast differentiation signals by stromal elements of giant cell tumor. J Bone Miner Res. 15:640–649. 2000. View Article : Google Scholar : PubMed/NCBI

11 

Huang L, Xu J, Wood DJ and Zheng MH: Gene expression of osteoprotegerin ligand, osteoprotegerin, and receptor activator of NF-kappaB in giant cell tumor of bone: possible involvement in tumor cell-induced osteoclast-like cell formation. Am J Pathol. 156:761–767. 2000. View Article : Google Scholar : PubMed/NCBI

12 

Roux S, Amazit L, Meduri G, Guiochon-Mantel A, Milgrom E and Mariette X: RANK (receptor activator of nuclear factor kappa B) and RANK ligand are expressed in giant cell tumors of bone. Am J Clin Pathol. 117:210–216. 2002. View Article : Google Scholar : PubMed/NCBI

13 

Zhu Y, Dong SK and Fan QH: Expression of osteoclast differentiation factor and its receptor and decoy receptor in giant cell tumor of bone. J Southeast Univ (Medical Science Edition). 24:330–333. 2005.

14 

Thompson SH, Bischoff P and Bender S: Central giant cell granuloma of the mandible. J Oral Maxillofac Surg. 41:743–746. 1983. View Article : Google Scholar : PubMed/NCBI

15 

Liu B, Yu SF and Pang SZ: Purification and study of the characteristics of the multinucleated giant cells of the giant cell tumor. Journal of Peking University (Health Sciences). 35:23–27. 2003.(In Chinese).

16 

Atkins GJ, Kostakis P, Vincent C, Farrugia AN, Houchins JP, Findlay DM, Evdokiou A and Zannettino AC: RANK expression as a cell surface marker of human osteoclast precursors in peripheral blood, bone marrow, and giant cell tumors of bone. J Bone Miner Res. 21:1339–1349. 2006. View Article : Google Scholar : PubMed/NCBI

Related Articles

Journal Cover

April 2013
Volume 5 Issue 4

Print ISSN: 1792-1074
Online ISSN:1792-1082

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Yu X, Kong W and Zheng K: Expression of osteoprotegerin and osteoprotegerin ligand in giant cell tumor of bone and its clinical significance. Oncol Lett 5: 1133-1139, 2013
APA
Yu, X., Kong, W., & Zheng, K. (2013). Expression of osteoprotegerin and osteoprotegerin ligand in giant cell tumor of bone and its clinical significance. Oncology Letters, 5, 1133-1139. https://doi.org/10.3892/ol.2013.1199
MLA
Yu, X., Kong, W., Zheng, K."Expression of osteoprotegerin and osteoprotegerin ligand in giant cell tumor of bone and its clinical significance". Oncology Letters 5.4 (2013): 1133-1139.
Chicago
Yu, X., Kong, W., Zheng, K."Expression of osteoprotegerin and osteoprotegerin ligand in giant cell tumor of bone and its clinical significance". Oncology Letters 5, no. 4 (2013): 1133-1139. https://doi.org/10.3892/ol.2013.1199