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Review
. 2017 Jul 19;8(37):62769-62779.
doi: 10.18632/oncotarget.19370. eCollection 2017 Sep 22.

Meta-analysis showing that ERCC1 polymorphism is predictive of osteosarcoma prognosis

Affiliations
Review

Meta-analysis showing that ERCC1 polymorphism is predictive of osteosarcoma prognosis

Xueyong Liu et al. Oncotarget. .

Abstract

To investigate correlations between excision repair cross-complementation group 1 (ERCC1) and 2 (ERCC2) polymorphisms and osteosarcoma prognosis, we conducted a meta-analysis of studies published through October 2016. Studies were identified in the PubMed, ScienceDirect, Springer, and Web of Science databases using preferred reporting items for systematic reviews and meta-analyses (PRISMA). Odds ratios (ORs) or hazard ratios (HRs) and their 95% confidence intervals (CIs) for overall survival (OS), tumor response (TR), and event-free survival (EFS) were estimated. Our meta-analysis included eleven studies in which four SNPs (ERCC1 rs11615 and rs3212986, ERCC2 rs13181 and rs1799793) reportedly associated with osteosarcoma prognosis were investigated. Each of these studies scored > 6 on the Newcastle-Ottawa Scale (NOS). We found that only one SNP, ERCC1 rs11615, correlated with improved OS and TR. The HR of T vs. C for OS was 1.455 (T/C, 95% CI = 1.151-1.839, P = 0.002, I2 = 37.80%). The OR of T vs. C for good TR was 0.554 (T/C, 95% CI = 0.437-0.702, P < 0.001, I2 = 0%). Few significant outcome was observed in subgroup analyses stratified based on study characteristics with adjustments for potential confounders. Our results suggest that ERCC1 rs11615 CC is associated with a better clinical outcome. This suggests rs11615 may be a useful genetic marker for predicting osteosarcoma prognosis.

Keywords: ERCC; meta-analysis; osteosarcoma; polymorphism; prognosis.

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Conflict of interest statement

CONFLICTS OF INTEREST None.

Figures

Figure 1
Figure 1. PRISMA 2009 flow diagram
Figure 2
Figure 2. Forest plot of rs11615 OS (TC+CC vs. TT)
Figure 3
Figure 3. Forest plot of rs11615 GTR (T vs. C)
Figure 4
Figure 4. Sensitivity analysis of rs11615 OS (TC+CC vs. TT)
Figure 5
Figure 5. Funnel plot for publication bias estimation, rs11615 OS (TC+CC vs. TT)

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References

    1. Pruksakorn D, Phanphaisarn A, Arpornchayanon O, Uttamo N, Leerapun T, Settakorn J. Survival rate and prognostic factors of conventional osteosarcoma in Northern Thailand: A series from Chiang Mai University Hospital. Cancer Epidemiol. 2015;39:956–63. - PubMed
    1. Savage SA, Mirabello L. Using epidemiology and genomics to understand osteosarcoma etiology. Sarcoma. 2011;2011:548151. - PMC - PubMed
    1. Isakoff MS, Bielack SS, Meltzer P, Gorlick R. Osteosarcoma: Current Treatment and a Collaborative Pathway to Success. J Clin Oncol. 2015;33:3029–35. - PMC - PubMed
    1. Li JZ, Tian ZQ, Jiang SN, Feng T. Effect of variation of ABCB1 and GSTP1 on osteosarcoma survival after chemotherapy. Genet Mol Res. 2014;13:3186–92. - PubMed
    1. Jiang C, Chen H, Shao L, Dong Y. GRM4 gene polymorphism is associated with susceptibility and prognosis of osteosarcoma in a Chinese Han population. Med Oncol. 2014;31:50. - PMC - PubMed