PCOS Hub Androgen-Related Genes: Bioinformatics Analysis of 60 Samples

Four hub androgen-related genes (ALDH1A1, DHRS9, PRKCB, SGPL1) were identified from an analysis of 60 human ovarian tissue samples (34 PCOS, 26 healthy). Xinling He published this dataset on figshare in March 2026, integrating results from LASSO regression, random forest, and protein-protein interaction network analyses. The data supports a constructed nomogram for predicting PCOS risk and explores immune cell infiltration across two distinct ARG molecular subtypes.

Use Cases

• Validate identified hub androgen-related genes (ALDH1A1, DHRS9, PRKCB, SGPL1) in independent PCOS studies.
• Build diagnostic or classification models for PCOS based on the hub gene signatures described.
• Investigate the relationship between androgen-related gene patterns and immune cell infiltration in ovarian tissue.
• Compare gene expression profiles between the two distinct ARG molecular subtypes (cluster A and B) defined in the study.

Strengths

• Data is derived from five integrated GEO datasets (GSE34526, GSE80432, GSE95728, GSE124226, GSE137684) with normalization and batch effect removal applied.
• Hub gene findings were validated using RT-qPCR in PCOS mouse models, showing consistent expression patterns.
• Analysis employed multiple algorithms (LASSO, Random Forest, PPI network) for robust gene identification.

Limitations

• Row count and specific column-level documentation are absent; field semantics must be inferred after download.
• The dataset is small (129.1 KB), indicating limited scope, likely containing summary results rather than raw expression data.
• Sample size is limited to 60 human ovarian tissue samples, which may affect statistical power and generalizability.

Provenance

Source

Gene Expression Omnibus (GEO) via figshare.

Collection Method

Bioinformatics analysis of microarray data from five public GEO datasets.

Freshness

Last updated 2026-03-19 05:20:15.