Flow cytometric detection of spontaneous apoptosis in human breast cancer using the TUNEL-technique

Volker Ehemann1, Jaromir Sykora, Jorge Vera-Delgado

  • 1Institute of Pathology, University of Heidelberg, Im Neuenheimer Feld 220-221, 69120 Heidelberg, Germany. volker_ehemann@med.uni-heidelberg.de

Cancer Letters
|April 23, 2003
PubMed

Insights

Flow cytometry combined with TUNEL labeling detects apoptotic breast cancer cells and their cell cycle phases. This method correlates apoptosis with proliferation, improving cancer diagnostics.

Area of Science:

  • Oncology
  • Cell Biology
  • Biotechnology

Background:

  • Microscopic analysis is reliable for identifying apoptosis but doesn't correlate with cell cycle phases.
  • Flow cytometry can identify apoptotic cells in tumors via a hypodiploid sub G0/1-peak due to DNA loss.
  • Linking apoptosis induction to specific cell cycle phases requires advanced techniques.

Purpose of the Study:

  • To adapt the TUNEL technique for flow cytometry to analyze apoptosis and cell cycle phases simultaneously.
  • To investigate the incidence and characteristics of apoptosis in human breast carcinomas.
  • To establish correlations between apoptotic cell detection, DNA fragmentation, and tumor proliferation.

Main Methods:

  • Multiparametric flow cytometry was employed to analyze DNA content and DNA fragmentation.
  • The terminal deoxynucleotidyl transferase nick-end-labeling (TUNEL) assay was integrated into flow cytometry.
  • 1700 human breast carcinomas were screened for apoptotic cells and proliferation indices.

Main Results:

  • A hypodiploid sub-G0/1 apoptotic peak was detected in 2.3% of the screened breast carcinomas.
  • Spontaneous apoptotic fractions varied from 1.5% to 25% within individual tumors.
  • Strong correlations were observed between DNA-cytometry, TUNEL-positive cells, and proliferation indices (r²=0.78 and r²=0.807, respectively).

Conclusions:

  • Multiparametric flow cytometry with TUNEL enhances apoptosis detection sensitivity and quantifies DNA fragmentation across cell cycle phases.
  • This combined approach allows for the correlation of apoptosis with specific cell cycle phases in cancer.
  • The findings support the utility of this method for improved understanding and diagnosis of breast cancer proliferation and apoptosis.

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