Currently Applied Molecular Assays for Identifying ESR1 Mutations in Patients with Advanced Breast Cancer

Nuri Lee1, Min-Jeong Park1, Wonkeun Song1

  • 1Department of Laboratory Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul 07440, Korea.

Insights

Estrogen receptor mutations in breast cancer drive endocrine resistance. Droplet digital PCR (ddPCR) using plasma is increasingly preferred over tissue-based next-generation sequencing (NGS) for detecting these critical ESR1 mutations.

Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • Estrogen receptor (ER)-positive breast cancer accounts for ~70% of cases and is primarily treated with endocrine therapy.
  • ER positivity decreases, and ESR1 mutations contribute to endocrine therapy resistance, leading to advanced breast cancer.
  • Accurate detection of ESR1 mutations is crucial for guiding treatment decisions in ER-positive breast cancer.

Purpose of the Study:

  • To review methodologies for detecting ESR1 mutations in breast cancer.
  • To analyze trends in assay types and sample sources for ESR1 mutation detection.
  • To highlight the shift towards non-invasive plasma-based ddPCR for improved detection and treatment guidance.

Main Methods:

  • Review of methodologies including next-generation sequencing (NGS) and droplet digital PCR (ddPCR).
  • Analysis of sample types used, comparing tissue versus plasma.
  • Examination of temporal trends in assay and sample type utilization (2012-2019).

Main Results:

  • NGS was initially dominant (50.0%), followed by ddPCR (45.5%).
  • Plasma use increased significantly from 22.2% (2012-2015) to 46.2% (2016-2019).
  • ddPCR became the preferred method (61.5%) over NGS (30.8%) in 2016-2019, particularly with plasma samples.

Conclusions:

  • The non-invasive nature, accessibility, and high sensitivity of plasma-based ddPCR have shifted detection trends.
  • Understanding assay principles, advantages, and limitations is vital for accurate interpretation.
  • Future advancements in NGS and ddPCR will enhance treatment decisions based on ESR1 mutation status.

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