Significance of tumor mutation burden combined with immune infiltrates in the progression and prognosis of ovarian cancer.

ABSTRACT:

Background

Ovarian cancer (OC) is the most malignant tumor in the female reproductive system. About 75% of OC in complete remission of clinical symptoms still develop a recurrence. Therefore, searching for new treatment methods plays an important role in improving the prognosis of OC.

Methods

We downloaded the MAF files, RNA-seq data and clinical information from the TCGA database. The "maftools" package in R software was used to visualize the OC mutation data. We calculated the tumor mutation burden (TMB) of OC and analyzed its correlation with clinicopathological parameters and prognostic value. Tumor mutation burden related signature model was constructed to predict the overall survival (OS) of OC.

Results

The results revealed that there was a statistical correlati

SUBMITTER: Bi F 

PROVIDER: S-EPMC7405355 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature