Multi-Database Combined Analysis Of Genes Related To Metastasis Of Ovarian Cancer

Objective: Serous ovarian cancer not only showed high heterogeneity in clinical manifestations, so it is at the molecular level. So this paper starts from the analysis of public database, finds and validates the genes related to metastasis of ovarian cancer.Methods: Using R software to analysis the shared microarrays of serous ovarian cancer,we get differentially expressed genes between metastases and in situ foci of serous ovarian cancer. using the Bioconductor curated Ovarian Data package, Meta analysis was carried out on genome-wide genes, obtained the HR value and P value of genes in progression free survival(PFS); After merging microarray analysis of differentially expressed genes and meta analysis, we revealed candidate genes according to the comprehensive effect and then verified in clinical specimens.Results: The dataset GSE2109 contains a total of 222 cases. After removing non serous ovarian cancer remains 124 cases. After screening in the R software through quality control to eliminate substandard chip remains 90 cases. 62 cases of them are serous ovarian cancer and 28 cases metastatic omentum. Using the gcrma to standardise, this paper used the SAM test to get some differentially expressed genes. We selected 7 clinical data set contains PFS information through the R package curated Ovarian Data. Meta analysis was used to obtain Hazard Ratio, HR value and P value in PFS. After comprehensive analysis of the differentially expressed genes and Gene Meta results, we obtained genes differential expressed and related with clinical prognosis. And these two kinds of data has a good linear relation. The Top100 gene was confirmed by pathway analysis which is mainly concentrated in the metastasis associated pathway. With primers of the top 12 gene, we verified in clinical specimens from patients in our hospital, and the conclusion approved the above-mentioned results.Conclusion: We used bioinformatics and clinical verification to pick out the metastasis related genes. These results are verified from the demographic and clinical specimens. These genes may be involved in serous ovarian cancer invasion and metastasis. The clinical significance is that the intervention of these genes may prevent tumor from invasion and metastasis. And it can also be used as a molecular marker of tumor metastasis, or can be used to evaluate the prognosis.