| Title |
Coexpression of CXCR4 and MMP9 predicts lung metastasis and poor prognosis in resected osteosarcoma
|
|---|---|
| Published in |
Tumor Biology, November 2015
|
| DOI | 10.1007/s13277-015-4352-8 |
| Pubmed ID | |
| Authors |
Zhiwu Ren, Shoulei Liang, Jilong Yang, Xiuxin Han, Luling Shan, Biying Wang, Tianyang Mu, Yanqin Zhang, Xueli Yang, Shunbin Xiong, Guowen Wang |
| Abstract |
Osteosarcoma is a highly aggressive bone disease with a tendency to metastasize to the lung. The 5-year survival of patients with metastatic osteosarcoma is only 20 %. Many studies have demonstrated SDF-1/CXCR4 and MMP9 play important roles in the metastasis of malignant tumors, including osteosarcoma. The aim of this study was to investigate the association of CXCR4 and MMP9 expression with clinicopathological features and pulmonary metastasis in osteosarcoma. Using tumor tissue microarrays, we analyzed the expression of CXCR4 and MMP9 among 34 primary osteosarcomas with pulmonary metastasis and 62 primary osteosarcomas without metastasis. A median time of 57.5 months (range: 6 to 171 months) follow-up was performed to evaluate tumor metastasis and the patient survival. The prognostic values were determined by univariate Kaplan-Meier survival analysis and multivariate Cox proportional hazard model analysis. The accuracy of oncologic outcome prediction was evaluated by receiver-operating characteristics (ROC) curves (AUC). The expression of CXCR4 and MMP9 was significantly correlated in tumor tissues (P = 0.026). Both CXCR4 and MMP9 were independent predictors for overall survival and metastasis-free survival by Cox multivariate analysis, and high expression for both CXCR4 and MMP9 were even more significant and better biomarkers for osteosarcoma metastasis and survival. The combination of CXCR4 and MMP9 high expression is very likely to be a valuable independent predictor of lung metastasis and survival in osteosarcoma patients. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 1 | 4% |
| Unknown | 24 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 20% |
| Student > Ph. D. Student | 5 | 20% |
| Student > Doctoral Student | 2 | 8% |
| Researcher | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 4 | 16% |
| Unknown | 5 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 36% |
| Medicine and Dentistry | 7 | 28% |
| Agricultural and Biological Sciences | 2 | 8% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Unknown | 6 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 November 2015.
All research outputs
#20,295,501
of 22,832,057 outputs
Outputs from Tumor Biology
#1,834
of 2,622 outputs
Outputs of similar age
#239,412
of 285,670 outputs
Outputs of similar age from Tumor Biology
#192
of 298 outputs
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