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Dataset Information

Identification of potential biomarkers in ovarian carcinoma and an evaluation of their prognostic value.


ABSTRACT:

Background

Ovarian cancer is one of the most common malignant tumors in female genital organs, and its incidence rate is high. However, the pathogenesis and prognostic markers of ovarian cancer are unclear. This study sought to screen potential markers of ovarian cancer and to explore their prognostic value.

Methods

The Cancer Genome Atlas, Gene Expression Omnibus, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes databases were used in this study. The least absolute shrinkage and selection operator (LASSO), multivariate Cox regression and stepwise regression analysis were chosen to screen genes and construct risk model. Gene Set Enrichment Analysis (GSEA) and an immune-infiltration analysis were performed.

Results

One hundred thirty two co-expressed genes wer

SUBMITTER: Cai J 

PROVIDER: S-EPMC8506714 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature