A 4-gene signature predicts prognosis of uterine serous carcinoma

Abstract Background Uterine serous carcinoma (USC) is an aggressive type of endometrial cancer that accounts for up to 40% deaths, creating urgent need prognostic biomarkers. Methods USC RNA-Seq data and corresponding patients’ clinical records were obtained from The Cancer Genome Atlas Genotype-Tissue Expression datasets. Univariate cox, Lasso, Multivariate cox regression analyses conducted forge a signature. Multivariable univariable analysis ROC curve evaluated the prediction efficiency both in training testing sets. Results We uncovered 1385 genes dysregulated 110 cases tissue relative 113 normal uterine tissue. Functional enrichment these revealed involvement various cancer-related pathways USC. A novel 4-gene signature (KRT23, CXCL1, SOX9 ABCA10) prognosis was finally forged by serial analyses. Overall patient survival (OS) recurrence-free (RFS) significantly lower high-risk group low-risk area under highest among clinicopathological features predicting OS RFS. found be independent indicator superior predictor early stage Conclusions Our findings highlight potential as guide personalized treatment.