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Updated: May 14, 2026

Methyl-binding DNA capture Sequencing for Patient Tissues
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Multiparameter DNA content analysis identifies distinct groups in primary breast cancer.

J H S Dayal1, M J Sales, W E Corver

  • 1Dundee Cancer Centre, Ninewells Hospital and Medical School, University of Dundee, Clinical Research Centre Building, Dundee DD1 9SY, UK.

British Journal of Cancer
|February 16, 2013
PubMed
Summary

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Multiparametric flow cytometry accurately assesses breast cancer DNA content. Tumour DNA index correlates with specific biomarkers and high S-phase fraction indicates poor survival.

Area of Science:

  • Oncology
  • Biotechnology
  • Genomics

Background:

  • Multiparameter flow cytometry is a reliable method for determining tumour DNA content in formalin-fixed paraffin-embedded (FFPE) tissue.
  • This study investigated clinical and pathological associations of DNA content in primary breast cancer using an advanced multiparametric technique.

Purpose of the Study:

  • To examine the clinical and pathological associations of DNA content in primary breast cancer.
  • To utilize an improved multiparametric flow cytometry technique for DNA content analysis.

Main Methods:

  • Analyzed FFPE tissue from 201 primary breast cancers using multiparameter flow cytometry.
  • Categorized cancers by DNA content (DNA index - DI) and calculated S-phase fraction (SPF%) using ModFit software.
  • Employed Binary Logistic Regression and Cox's Regression for association analysis.

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Last Updated: May 14, 2026

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Main Results:

  • Low DI tumors associated with progesterone receptor-positive status.
  • Intermediate DI tumors linked to p53 mutations; high DI tumors correlated with HER2-positive status.
  • High SPF% (≥10%) independently associated with poorer overall survival.

Conclusions:

  • Multiparametric flow analysis of FFPE tissue accurately assesses tumor DNA content.
  • Tumor DNA content and subpopulations correlate with prognostic biomarkers and potential therapy response.
  • DNA content alterations offer insights into mechanisms of clinically significant biomarker changes in breast cancer.