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Dataset Information

Single-cell and transcriptomic analyses reveal the influence of diabetes on ovarian cancer.


ABSTRACT:

Background

There has been a significant surge in the global prevalence of diabetes mellitus (DM), which increases the susceptibility of individuals to ovarian cancer (OC). However, the relationship between DM and OC remains largely unexplored. The objective of this study is to provide preliminary insights into the shared molecular regulatory mechanisms and potential biomarkers between DM and OC.

Methods

Multiple datasets from the GEO database were utilized for bioinformatics analysis. Single cell datasets from the GEO database were analysed. Subsequently, immune cell infiltration analysis was performed on mRNA expression data. The intersection of these datasets yielded a set of common genes associated with both OC and DM. Using these overlapping genes and Cytoscape, a protei

SUBMITTER: Zhao Z 

PROVIDER: S-EPMC10759538 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature