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Novel breast tissue feature strongly associated with risk of breast cancer
Journal of Clinical Oncology, 10/08/09

McKian KP et al. – Novel, tissue-based features that reflect the status of a woman's normal breast lobules are associated with breast cancer risk. These features may offer a novel strategy for risk prediction.

• Quantified extent of lobule regression on benign breast biopsy in 85 patients who developed breast cancer and 142 age-matched controls from the Mayo Benign Breast Disease Cohort
• Determined number of acini per lobule and lobular area
• Calculated Gail model 5-year predicted risks for these women.

• Step-wise increase in breast cancer risk with increasing numbers of acini per lobule
• Adjusting for Gail model score, parity, histology, and family history did not attenuate this association
• Lobular area similarly associated with risk
• Gail model estimates associated with risk of breast cancer
• Individual accuracy of these measures using the concordance (c) statistic examined
• Gail model c statistic was 0.60 ; the acinar count c statistic was 0.65
• Combining acinar count and lobular area, the c statistic was 0.68
• Adding Gail model to these measures did not improve the c statistic

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