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Objective To evaluate the prognostic significance of squamous cell carcinoma-associated antigen (SCC-Ag) in cervical cancer.Methods The databases of Pubmed,Embase,Science Direct and Cochrane Library were searched to collect all the literatures of the prognostic correlation of SCC-Ag for cervical cancer and evaluate the quality of the included literatures according to the evaluation criteria.Hazard ratio (HR) and 95％ confidence interval (CI) were used to evaluate the correlation between SCC-Ag and prognosis of cervical cancer,and the subgroup analysis was also performed.the forest map and funnel map were plotted out by StataSE12.0 software.Results A total of 14 articles met to inclusion criteria were included.The high expression of SCC-Ag correlated significantly with the poor overall survival,(OS) in prognosis of cervical cancer (HR =2.73,95％ CI =1.48-5.05,P =0.001).The disease free survival (DFS) of low expression of SCC-Ag was longer than that of high expression of SCC-Ag (HR =2.17,95％ CI =1.84-2.57,P ＜0.01).No correlation of high expression of SCC-Ag with progression-free survival (PFS) of the patients was found (HR =2.68,95％ CI =0.99-7.24,P =0.051).There was a significant heterogeneity of prospective OS (I2 =93.1％,P ＜0.01) in the subgroup analysis,but there was no statistical heterogeneity of prognostic DFS in the subgroup analysis (12 =23％,P =0.239).Conclusion SCC-Ag should be an important prognostic factor for cervical cancer.High expression of SCC-Ag may associate with poor prognosis of cervical cancer with statistical significance.
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Objective MicroRNAs(miRNAs) play a critical role in the prognosis of liver cancer,especially in hepatocellular carcinoma (HCC).The aim of this study was to find the new prognosis-related miRNAs in HCC through data mining of The Cancer Genome Atlas(TC-GA).Methods The miRNA expression data with clinicopathological characteristics and prognosis of liver cancer patients were obtained from the TCGA data portal and then data analysis,integration and standardization were performed by R package.Moreover,univariate Cox model and high-dimensional analytical model BhGLM(Bayesian hierarchical generalized linear model) were used to analyze the miRNA expression profiles data.Results A total of 63 and 77 prognosis-related miRNAs were screened using Cox and BhGLM model respectively,and 18 miRNAs were screened by co-analysis of Cox and BhGLM.Among them 4 prognosis-related miRNAs such as miR-188,miR-576,miR-887 and miR-91 have never been reported in HCC.Conclusion On the basis of these data,co-analysis of Cox and BhGLM could be an effective method which screen and validate miRNAs as the new clinical prognostic and diagnostic biomarkers in HCC.