Screening and bioinformatics analysis of key genes for ferroptosis in serous ovarian cancer
To screen key iron death genes associated with plasmacytotic ovarian cancer and predict their biological functions using bioinformatics.The datasets GSE54388 and GSE12470 are obtained from the GEO database on plasmacytotic ovarian cancer,and the"limma"package in R language is used to analyze and select differentially expressed genes in epithelial tissues of plasmacytotic ovarian cancer and normal ovarian epithelial tissues,and to plot volcanoes and heat maps,and Venn software online The Venn software online tool is used to draw Venn diagrams for GSE54388,GSE12470 and FerrDb,and to perform functional enrichment analysis,protein interaction analysis,survival analysis,ROC curves for key genes for diagnostic analysis,validation of the screened genes using GEPIA2 database,and immuno-infiltration analysis.2 458 differential genes are screened from GSE54388,of which 1 309 are up-regulated and 1 149 are down-regulated,3 534 differential genes are screened from GSE12470,of which 1 837 are up-regulated and 1 697 are down-regulated,and intersect with the iron death gene dataset to obtain a total of 16 differential genes,and the protein interaction network screen 7 key modules of gene constructs.The survival curve is plotted and found that 5 genes are associated with poor overall survival in patients with plasmacytotic ovarian cancer,among which 4 genes,NRAS,PSAT1,CDKN2A,GDF15,are highly expressed and CAV1 is lowly expressed.ROC curve shows that the AUC diagnostic curve area of CAV1,NRAS,PSAT1 among these 5 genes is greater than 0.95,which has high diagnostic value.The GEPIA2 database validation reveal that the expression of the 5 genes is consistent with the prediction,Only the expression of NRAS gene is significantly different in serous ovarian cancer patients at stage Ⅱ,Ⅲ and Ⅳ(P＜0.05),immunoinfiltration analysis showed that CDKN2A expression is positively correlated with the infiltration level of aDC cells(P＜0.05,spearman correlation coefficient 0.353),CAV1 expression is positively correlated with Mast cell infiltration(P＜0.05,spearman correlation coefficient 0.327),NRAS is positively correlated with T helper cell leaching(P＜0.05,spearman correlation coefficient 0.362).Five genes associated with iron death in plasmacytotic ovarian cancer:CAV1,NRAS,PSAT1,CDKN2A,GDF15 are screened by bioinformatics methods,which may play an important role in the development of plasmacytotic ovarian cancer and have the potential to become molecular biomarkers for the diagnosis,treatment and prognosis of this disease.
国家科技期刊平台
NSTL
万方数据
