Noninvasive subcellular imaging in breast cancer risk assessment: construction of diagnostic windows

Breast cancer is the most common cause of cancer-related death among women. Delayed diagnosis leads to development of metastasis and impairs the outcome. This study was designed to utilize subcellular DNA imaging by 'comet assay' and determine pathology-specific comet patterns as the robust biomarker to distinguish between high and low risk for breast cancer development among predisposed individuals with benign breast alterations.

A total of 161 patients were grouped as follows: benignancy, premenopause (n = 59); benignancy, postmenopause (n = 20); breast cancer, premenopause (n = 19); breast cancer, postmenopause (n = 63). On average, 800-1000 comets were evaluated per patient.

The qualitative comet assay is an innovative approach for breast cancer risk assessment that can be utilized for the screening of highly predisposed individuals among patients with benign breast alterations. Pathology-specific comet patterns have been identified as the robust biomarker for breast cancer risk. Mathematic model-based diagnostic windows have been constructed for their clinical application.