A prognosis-predictive nomogram of ovarian cancer with two immune-related genes: CDC20B and PNPLA5.

ABSTRACT: Ovarian carcinoma (OV) is one of the most lethal gynecological malignancies globally, and the overall 5-year survival rate of OV was 47% in 2018 according to American data. To increase the survival rate of patients with OV, many researchers have sought to identify biomarkers that act as both prognosis-predictive markers and therapy targets. However, most of these have not been suitable for clinical application. The present study aimed at constructing a predictive prognostic nomogram of OV using the genes identified by combining The Cancer Genome Atlas (TCGA) dataset for OV with the immune score calculated by the Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data algorithm. Firstly, the algorithm was used to calculate the immune score of patients with OV

SUBMITTER: Lin H 

PROVIDER: S-EPMC7491088 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature