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  11. Molecular Monitoring By Cdkn2a/p16ink4a And Rb1 Gene Methylation In Breast Cancer

Molecular monitoring by CDKN2A/p16INK4A and RB1 gene methylation in breast cancer

Luiz Fernando de Queiroz1, Marcelo Soares da Mota E Silva2, Fernando Colonna Rosman2

  • 1Universidade Federal do Rio de Janeiro, Faculty of Medicine, Postgraduate Program in Pathological Anatomy, Department of Pathology - Rio de Janeiro (RJ), Brazil.

Revista Da Associacao Medica Brasileira (1992)
|May 8, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

Breast cancer monitoring can be improved by analyzing cell-free DNA methylation. This approach detects gene methylation changes, potentially predicting tumor recurrence and aiding early detection.

Area of Science:

  • Oncology
  • Molecular Biology
  • Epigenetics

Background:

  • Breast cancer is a significant health concern, necessitating advanced diagnostic and monitoring tools.
  • Gene methylation patterns, particularly in CDKN2A/p16INK4A and RB1, are implicated in cancer development.
  • Circulating cell-free DNA (cfDNA) offers a non-invasive source for molecular analysis.

Purpose of the Study:

  • To comprehensively analyze the methylation status of CDKN2A/p16INK4A and RB1 genes in breast cancer patients.
  • To investigate the utility of cfDNA methylation patterns for monitoring breast cancer patients.
  • To compare cfDNA methylation pre- and post-surgery to assess its potential in predicting recurrence.

Main Methods:

  • Prospective study involving 15 breast cancer patients undergoing total mastectomy.

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  • DNA extraction from tumor, non-tumor tissue, and peripheral blood (cfDNA).
  • Methylation analysis of cfDNA from blood collected pre- and post-surgery using sodium bisulfite conversion, PCR, and electrophoresis.

    • Main Results:

    • CDKN2A/p16INK4a methylation was prevalent in tumor (13/15) and non-tumor (12/15) tissues.
    • RB1 methylation was detected in 11 tumors and 8 non-tumor samples.
    • CDKN2A/p16INK4a methylation was observed in cfDNA of 2 patients pre-surgery and 1 patient post-surgery.

    Conclusions:

    • Analysis of cfDNA methylation presents a novel approach for breast cancer patient monitoring.
    • Changes in cfDNA methylation patterns may precede visible signs of cancer in breast tissue.
    • This method holds potential for predicting the recurrence of malignant breast tumors.