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A yeast-based bioassay for the determination of functional and non-functional estrogen receptors

P Balmelli-Gallacchi1, F Schoumacher, J W Liu

  • 1Biochemistry/Endocrinology and Biomolecular Tumordiagnostics, Department of Research, University Women's Clinic Basel and Stiftung Tumorbank Basel, CH-4031 Basel, Switzerland.

Insights

A novel yeast assay identifies functional estrogen receptor (ER) variants in breast cancer. This method distinguishes active, inactive, and wild-type ER, improving treatment predictability beyond standard hormone receptor status.

Area of Science:

  • Molecular Biology
  • Oncology
  • Yeast Genetics

Background:

  • Endocrine therapy response in breast cancer is complex and not fully predicted by hormone receptor status alone.
  • Mutated or spliced variants of the estrogen receptor (ER) can exhibit altered biological activities, impacting treatment outcomes.

Purpose of the Study:

  • To develop a functional assay in Saccharomyces cerevisiae to characterize diverse estrogen receptor (ER) forms in heterogeneous breast tumors.
  • To enable the identification and functional assessment of individual ER variants within breast cancer samples.

Main Methods:

  • Total RNA from breast cancer cells and specimens was used to amplify ER cDNA via reverse transcription and PCR.
  • Cloning of ER cDNA into an expression vector using in vivo homologous recombination in yeast.
  • A yeast reporter system utilizing an estrogen response element and the ADE2 gene to visually distinguish ER activity (white colonies) from inactivity (red colonies).

Main Results:

  • Successful development of a functional yeast assay for ER activity.
  • Demonstration of the assay's ability to differentiate between wild-type, constitutively active, and inactive ER variants.
  • Facilitation of subsequent analysis of ER functionality through plasmid rescue and DNA sequencing.

Conclusions:

  • The developed yeast functional assay provides a simple, visual method to assess ER activity in breast cancer.
  • This assay can identify functionally distinct ER variants, potentially improving the prediction of endocrine therapy response.
  • Characterizing ER heterogeneity offers new insights into breast cancer biology and therapeutic strategies.

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