Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2016:2016:4639575.
doi: 10.1155/2016/4639575. Epub 2016 Apr 27.

TP53 Mutations and Survival in Osteosarcoma Patients: A Meta-Analysis of Published Data

Affiliations
Meta-Analysis

TP53 Mutations and Survival in Osteosarcoma Patients: A Meta-Analysis of Published Data

Zhe Chen et al. Dis Markers. 2016.

Abstract

Several research groups have examined the association between TP53 mutations and prognosis in human osteosarcoma. However, the results were controversial. The purpose of this study was to evaluate the prognostic value of TP53 mutations in osteosarcoma patients. A meta-analysis was conducted with all eligible studies which quantitatively evaluated the relationship between TP53 mutations and clinical outcome of osteosarcoma patients. Eight studies with a total of 210 patients with osteosarcoma were included in this meta-analysis. The risk ratio (RR) with a 95% confidence interval (95% CI) was calculated to assess the effect of TP53 mutations on 2-year overall survival. The quantitative synthesis of 8 published studies showed that TP53 mutations were associated with 2-year overall survival in osteosarcoma patients. These data suggested that TP53 mutations had an unfavorable impact on 2-year overall survival when compared to the counterparts with wild type (WT) TP53 (RR: 1.79; 95% CI: 1.12 to 2.84; P = 0.01; I (2) = 0%). There was no between-study heterogeneity. TP53 mutations are an effective prognostic marker for survival of patients with osteosarcoma. However, further large-scale prospective trials should be performed to clarify the prognostic value of TP53 mutations on 3- or 5-year survival in osteosarcoma patients.

PubMed Disclaimer

Figures

Figure 1
Figure 1
The flow chart of the included studies.
Figure 2
Figure 2
Meta-analysis (forest plot) of the 8 studies evaluating TP53 mutations in osteosarcoma for the risk of 2-year death. The name of the lead author and the RR with 95% confidence intervals are shown in each study. The total RR and 95% confidence intervals are summarized with fixed effects models.
Figure 3
Figure 3
Funnel plot in the meta-analysis demonstrating that there was no obvious indication of publication bias.

Similar articles

Cited by

References

    1. Lamora A., Mullard M., Amiaud J., et al. Anticancer activity of halofuginone in a preclinical model of osteosarcoma: inhibition of tumor growth and lung metastases. Oncotarget. 2015;6(16):14413–14427. - PMC - PubMed
    1. Geller D. S., Revskaya E., Khan M., Morris J., Gorlick R., Dadachova E. Abstract 1798: targeted therapy of osteosarcoma with radiolabeled monoclonal antibody to an insulin-like growth factor-2 receptor. Cancer Research. 2015;75(15, supplement):1798–1798. doi: 10.1158/1538-7445.am2015-1798. - DOI - PubMed
    1. Bradner J. E. Cancer: an essential passenger with p53. Nature. 2015;520(7549):626–627. doi: 10.1038/nature14390. - DOI - PubMed
    1. Sakai K., Kazama S., Nagai Y., et al. Chemoradiation provides a physiological selective pressure that increases the expansion of aberrant TP53 tumor variants in residual rectal cancerous regions. Oncotarget. 2014;5(20):9641–9649. doi: 10.18632/oncotarget.2438. - DOI - PMC - PubMed
    1. Dobes P., Podhorec J., Coufal O., et al. Influence of mutation type on prognostic and predictive values of TP53 status in primary breast cancer patients. Oncology Reports. 2014;32(4):1695–1702. doi: 10.3892/or.2014.3346. - DOI - PubMed

Publication types