Predicting ovarian cancer prognosis and immunotherapy response through siglec15 and PD-L1 expression analysis.

ABSTRACT:

Background

Ovarian cancer (OC) is a highly aggressive malignancy often diagnosed in advanced stages. This study investigates the expression patterns and prognostic significance of Siglec15 and PD-L1 in OC, with the aim of developing a novel prognostic tool and exploring potential targets for treatment.

Methods

Patients with OC were categorized into subgroups for analysis of tumor microenvironment and immune cell infiltration using the ESTIMATE and CIBERSORT algorithms. Predictive algorithms, including TIDE and IPS scores, were utilized to assess immunotherapy response. Immunohistochemistry analysis of Siglec15 and PD-L1 expression in clinical samples was performed. Additionally, cell culture experiments with SKOV3 cells and qRT-PCR assays were conducted to evaluate gene expr

SUBMITTER: Zhao A 

PROVIDER: S-EPMC12547771 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature