Faculty Bibliography

Studies suggest that adjuvant chemotherapy for early stage breast cancer (BC) is associated with cognitive impairment related to attention, memory, and visuospatial functioning. However, other studies have failed to confirm that relationship. We report one of the first longitudinal, controlled studies of cognitive effects of chemotherapy in older post-menopausal women. Sixty-one post-menopausal women with non-metastatic BC were administered neuropsychological tests before adjuvant therapy (Time1), six months after treatment (Time2), and at a final 6-month follow-up (Time3). Thirty women were treated with chemotherapy; thirty-one women who received no chemotherapy were controls. Cognitive domains measured included motor, language, attention/concentration/working memory, visuospatial, and memory (verbal and visual). Time-by-treatment interaction was significant in the motor domain (P = 0.007) with poorer performance in women treated with chemotherapy. For the other domains, scores did not significantly vary over time by group. In post-menopausal women, chemotherapy was not associated with changes in cognitive function in areas reported by BC survivors: attention, memory, and information processing. Motor slowing in women treated with chemotherapy could be secondary to peripheral neuropathy rather than an indication of more general declines in cognitive processing. Future studies should control for the independent effects of slowed motor functioning when looking to study possible chemotherapy related cognitive processing deficits

Information is lacking regarding the interaction of established breast cancer risk factors and patient age. We attempted to study this interaction in high-risk women at the extremes of age in our population. The Women-At-Risk Registry was queried for women who were < or =35 and > or =70 years of age. Enrollment criteria included: strong family history of breast cancer (FHBC), and/or biopsy-proven history of atypical ductal hyperplasia (ADH), atypical lobular hyperplasia (ALH), or lobular carcinoma in situ (LCIS). Descriptive analyses and Fisher's exact tests were used to analyze these factors and to assess their influence on breast cancer development. Our population included 1,412 high-risk women with median follow-up of 4 years. Of 195 women < or =35 years, 3 (1.5%) developed breast cancer. All three had strong FHBC and none had a prior high-risk lesion. Of 82 women > or =70 years, 6 (7.3%) developed breast cancer. Mean Gail score for women > or =70 years was 4.3, as compared with 4.7 in the subset of older women diagnosed with cancer. Fisher's tests demonstrated that ADH (p = 0.15), ALH (p = 1.0), LCIS (p = 1.0), and FHBC (p = 1.0) were not associated with breast cancer development in older women. We conclude that, for women < or =35 years, a significant FHBC may be a stronger predictor for breast cancer development than high-risk lesions. For women > or =70 years, FHBC and history of ADH, ALH, and LCIS were not predictors of breast cancer. This study emphasizes the importance of defining age-appropriate recommendations for breast cancer risk management, including surveillance and chemoprevention

The purpose of this study was to utilize a Bayesian risk prediction model to predict the incidence of breast cancer in a high risk population. 10-fold cross-validation was performed using a Naive Bayes classifier. The area under the ROC curve (AUC) was used to measure prediction accuracy. These results were then compared to the ROC curve (AUC) results of the Gail Model Risk Assessment Tool