Sex-Related Gene Expression Differences in Early-Stage Bladder Cancer

Natalia Zeber-Lubecka's dataset contains supplementary tables and figures from a whole-transcriptome sequencing study of early-stage bladder cancer. It includes lists of differentially expressed genes (DEGs) and Gene Ontology (GO) enrichment analyses, stratified by sex and tissue type (bladder cancer vs. bladder mucosa). The data supports investigation into sex-specific molecular mechanisms in non-muscle invasive bladder cancer.

Use Cases

• Identifying sex-specific biomarkers based on lists of female-unique and male-unique differentially expressed genes.
• Performing functional enrichment analysis using the provided GO category annotations for immune system-related pathways.
• Modeling gene-tissue-sex interactions using results from the two-factor interaction model detailed in the supplementary tables.
• Comparing gene expression profiles between bladder cancer (BC) and normal bladder mucosa (BM) tissues.

Strengths

• Includes specific gene counts: 753 female-unique and 3989 male-unique differentially expressed genes (padj < 0.05).
• Provides functional annotations via ClueGO analysis for immune system-related GO categories.
• Released under a permissive CC-BY-4.0 license, facilitating reuse.
• Data is structured to explicitly analyze the interaction between sex and tissue type.

Limitations

• Column names and exact row counts for the underlying data tables are not provided in the metadata.
• The dataset consists of supplementary material (figures and tables); the primary sequencing data is not included.
• Metadata provides no information on sample size, patient demographics, or sequencing methodology.

Provenance

Source

Natalia Zeber-Lubecka

Collection Method

Likely derived from whole-transcriptome sequencing of human bladder tissue samples.

Freshness

Last updated 2026-03-18.