Bioinformatics analysis and verification of molecular targets in ovarian cancer stem-like cells.

ABSTRACT:

Background

Epithelial ovarian cancer (EOC) is a lethal and aggressive gynecological malignancy. Despite recent advances, existing therapies are challenged by a high relapse rate, eventually resulting in disease recurrence and chemoresistance. Emerging evidence indicates that a subpopulation of cells known as cancer stem-like cells (CSLCs) exists with non-tumorigenic cancer cells (non-CSCs) within a bulk tumor and is thought to be responsible for tumor recurrence and drug-resistance. Therefore, identifying the molecular drivers for cancer stem cells (CSCs) is critical for the development of novel therapeutic strategies for the treatment of EOC.

Methods

Two gene datasets were downloaded from the Gene Expression Omnibus (GEO) database based on our search criteria. Differentiall

SUBMITTER: Behera A 

PROVIDER: S-EPMC7492822 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature