A prognostic signature based on adenosine metabolism related genes for ovarian cancer.

ABSTRACT:

Background

Ovarian cancer is one of the most common cause of cancer death in women due to its late diagnosis and susceptibility to drug resistance. Adenosine (ADO) signaling plays a key role in immune activity and tumor progression. In this study, we constructed a signature of ADO metabolism related genes expression in patients with ovarian cancer.

Methods

A total of 372 ovarian cancer patients from TCGA was used as training set and 1,137 patients from six GEO datasets were as validation set. The gene expression and drug response inhibitory concentration values for ovarian cancer cell line from GDSC were used for drug sensitivity analysis. The non-negative matrix factorization algorithm and ssGSVA were used to construct the ADO score.

Results

Patients with high ADO sc

SUBMITTER: Liang W 

PROVIDER: S-EPMC9742553 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature