Analysis of informativeness of immunohistochemical and flow cytometric methods for estrogen receptor α assessment

T A Bogush1, E A Dudko2, M V Rodionova2

  • 1Blokhin Cancer Research Center, Russian Academy of Medical Science, Kashirskoe sh. 24, Moscow, 115478, Russia. bogush@orc.ru.

Insights

Immunohistochemistry (IHC) and flow cytometry (FCM) show similar estrogen receptor alpha (ERα) expression frequencies in breast cancer. FCM detects low ERα levels more often than IHC, offering a more sensitive assessment for ERα status.

Area of Science:

  • Oncology
  • Biopathology
  • Molecular Diagnostics

Background:

  • Estrogen receptor alpha (ERα) is a critical biomarker in breast cancer treatment decisions.
  • Accurate assessment of ERα expression is vital for effective endocrine therapy selection.
  • Immunohistochemistry (IHC) and flow cytometry (FCM) are common methods for ERα evaluation, but discrepancies exist.

Purpose of the Study:

  • To compare the informative capacity of IHC and FCM for assessing ERα expression in breast cancer.
  • To identify and quantify differences in ERα detection between IHC and FCM.
  • To propose methods for minimizing errors in routine clinical ERα status determination.

Main Methods:

  • Comparative analysis of ERα expression using IHC and FCM on breast cancer tissue samples.
  • Quantitative assessment of ERα-positive, ERα-negative, and low-level ERα expression by both techniques.
  • Evaluation of discordant results between IHC and FCM.

Main Results:

  • Both IHC and FCM demonstrated similar overall ERα expression frequencies (27% negative, 73% positive).
  • FCM detected low ERα levels in 48% of positive cases, significantly higher than IHC (20%).
  • FCM identified positive ERα expression in 33% of cases negative by IHC, and zero expression in 12.5% of IHC-positive cases.

Conclusions:

  • FCM offers a more sensitive detection of low ERα expression compared to IHC.
  • Discrepancies between IHC and FCM highlight potential for improved accuracy in ERα assessment.
  • Refined methodologies are needed to minimize errors and enhance the reliability of ERα status determination in clinical practice.

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