October 7, 2009. Some 692,000 American women are diagnosed with cancer according to the American Association for Critical Illness Insurance. About one quarter (26%) have breast cancer.
October is Breast Cancer Awareness Month and a new report notes that analyzing individual breast tissue for specific structural characteristics may more precisely determine a woman’s risk for developing breast cancer.
Reporting in the Journal of Clinical Oncology, researchers report that the more acini a woman has and the larger her breast lobules, the higher the chance she will get breast cancer. Acini, the medical experts note, refers to a cluster of cells that in this instance are the sacs that produce milk.
Currently, factors such as family history of breast cancer, number of pregnancies and age at first pregnancy are helpful in predicting how often breast cancer will arise in a larger population. But, reserachers note, these same tools are poor indicators of individual risk.
Other than family history and genetics, the best tool experts have to predict individual breast cancer risk is the Gail model, which takes into account age and number of previous biopsies, as well as family history and pregnancy history. But, the authors of the report note that the Gail model is “only slightly better than chance alone.
Breast cancer originates in the breast lobules. The lobules are supposed to disappear as a woman ages, reducing her breast cancer risk, but this doesn’t always happen. The researchers tissue from women with breast cancer (as well as earlier tissue samples taken before they developed the cancer). The more acini per lobule a woman had and the larger the lobule, the higher her risk for developing breast cancer, the researchers found. This new technique proved more accurate than the Gail model.