Gene Expression in Premenopausal Breast Cancer Across the Menstrual Cycle

A 2020 study analyzed biopsy samples from 96 patients in two independent prospective studies. The research investigated changes in the expression of 50 genes, including 27 oestrogen-regulated genes, 11 putative progesterone-regulated genes, and seven proliferation-associated genes, across three predefined menstrual cycle windows. Data supporting the findings, including hormone concentrations and normalized gene expression, are publicly available via figshare.

Use Cases

• Analyze correlations between serum hormone levels and gene expression based on hormone concentration data.
• Model gene expression patterns across menstrual cycle phases based on window-of-cycle assignments.
• Validate biomarkers for hormone sensitivity in premenopausal ER+ breast cancer based on the 50 measured genes.

Strengths

• Data originates from a peer-reviewed published article with explicit study aims and methodology.
• Sample size of 96 patients from two independent prospective studies provides a basis for analysis.
• Gene expression was measured for a focused panel of 50 relevant genes using the NanoString nCounter system.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Published article and associated figshare repository.

Collection Method

Prospective clinical study using biopsy samples and plasma hormone measurements.

Geography

Participants were recruited from the National Cancer Hospital, Hanoi, Vietnam; study coordinated from the University of Toronto, Canada.