# EMBER creates a unified space for independent breast cancer transcriptomic datasets enabling precision oncology

**Authors:** Carlos Ronchi, Syed Haider, Cathrin Brisken

PMC · DOI: 10.1038/s41523-024-00665-z · NPJ Breast Cancer · 2024-07-09

## TL;DR

EMBER is a new method that unifies breast cancer transcriptomic data to improve diagnostics and predict treatment responses.

## Contribution

EMBER introduces a unified transcriptomic space and single-sample phenotype prediction for breast cancer.

## Key findings

- EMBER accurately captures five breast cancer molecular subtypes.
- The ER signaling score from EMBER outperforms IHC-based ER index in predicting endocrine therapy response.
- EMBER identifies androgen receptor and TGFβ signaling changes linked to therapy resistance.

## Abstract

Transcriptomics has revolutionized biomedical research and refined breast cancer subtyping and diagnostics. However, wider use in clinical practice is hampered for a number of reasons including the application of transcriptomic signatures as single sample predictors. Here, we present an embedding approach called EMBER that creates a unified space of 11,000 breast cancer transcriptomes and predicts phenotypes of transcriptomic profiles on a single sample basis. EMBER accurately captures the five molecular subtypes. Key biological pathways, such as estrogen receptor signaling, cell proliferation, DNA repair, and epithelial-mesenchymal transition determine sample position in the space. We validate EMBER in four independent patient cohorts and show with samples from the window trial, POETIC, that it captures clinical responses to endocrine therapy and identifies increased androgen receptor signaling and decreased TGFβ signaling as potential mechanisms underlying intrinsic therapy resistance. Of direct clinical importance, we show that the EMBER-based estrogen receptor (ER) signaling score is superior to the immunohistochemistry (IHC) based ER index used in current clinical practice to select patients for endocrine therapy. As such, EMBER provides a calibration and reference tool that paves the way for using RNA-seq as a standard diagnostic and predictive tool for ER+ breast cancer.

## Linked entities

- **Proteins:** TGFB1 (transforming growth factor beta 1)
- **Diseases:** breast cancer (MONDO:0004989)

## Full-text entities

- **Genes:** AR (androgen receptor) [NCBI Gene 367] {aka AIS, AR8, DHTR, HPCX3, HUMARA, HYSP1}, TGFB1 (transforming growth factor beta 1) [NCBI Gene 7040] {aka CAEND1, CED, DPD1, IBDIMDE, LAP, TGF-beta1}, ESR1 (estrogen receptor 1) [NCBI Gene 2099] {aka ER, ESR, ESRA, ESTRR, Era, NR3A1}
- **Diseases:** breast cancer (MESH:D001943)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11233672/full.md

## References

47 references — full list in the complete paper: https://tomesphere.com/paper/PMC11233672/full.md

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Source: https://tomesphere.com/paper/PMC11233672