Excel · study · 2026
Uncovering of Intratumoral Androgen -Dependent Molecular Signature for Better Breast Cancer Prognosis [RNA-Seq]
Listed in NCBI GEO
The role of androgens in breast cancer (BC) was defined by correlating circulating androgens to clinical variables.
Description
Considering that intratumoral hormonal milieu is the critical determinant of BC characteristics, correlating intratumoral, androgens and their downstream transcriptome, a measure of free unbound androgen function, will provide clarity on androgen action in BC. Preclinical studies have shown that androgens and their receptor, androgen receptor (AR), have complex function in BC functioning as tumor suppressor in estrogen receptor (ER)-positive BC and oncogene in triple negative BC (TNBC).
To obtain clarity on the role of androgens in BC, we measured intratumoral androgens and transcriptome in patient specimens. Intratumoral androstenedione (A4), but not dehydroepiandrosterone nor testosterone, from 62 BC specimens correlated with 1388 genes. A4-correlated genes classified patients into low, intermediate, and high A4 levels.
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A4-high patients had lower tumor cell proliferation, stage, and grade, and longer survival. A4-low patients’ tumors belonged to TNBC subtype and comprised of African American women. High intratumoral A4 levels extended the survival of ER+ve patients.
These results were verified using TCGA and an independent clinical cohort. Using machine learning, we refined 1388 genes to a robust 90-gene A4-driven predictive signature. This signature strongly correlated with A4 levels and accurately predicted important clinical properties including tumor aggressiveness and survival outcomes.
Collectively, we have discovered a tumor suppressor role for androgens, especially A4, in BC and identified a 90-gene A4 signature that offers a powerful tool for predicting A4 levels and related prognostic markers, which are otherwise challenging to assess.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE329nnn/GSE329391 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE329391 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1458793 ncbi.nlm.nih.gov/bioproject/PRJNA1458793 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75% · RNA sequencing 65%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE329391 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |