Purpose: The purpose of this study was to test the hypothesis that circulating tumor cells (CTCs) are present in patients many years after mastectomy without evidence of disease and that these CTCs are shed from persisting tumor in patients with breast cancer dormancy.Experimental Design: We searched for CTCs in 36 dormancy candidate patients and 26 age-matched controls using stringent criteria for cytomorphology, immunophenotype, and aneusomy.Results: Thirteen of 36 dormancy candidates, 7 to 22 years after mastectomy and without evidence of clinical disease, had CTCs, usually on more than one occasion. Only 1 of 26 controls had a possible CTC (no aneusomy). The statistical difference of these two distributions was significant (exact P ‫؍‬ 0.0043). The CTCs in patients whose primary breast cancer was just removed had a half-life measured in 1 to 2.4 hours. Conclusions:The CTCs that are dying must be replenished every few hours by replicating tumor cells somewhere in the tissues. Hence, there appears to be a balance between tumor replication and cell death for as long as 22 years in dormancy candidates. We conclude that this is one mechanism underlying tumor dormancy.

Interval from diagnosis to treatment of breast cancer within the same cancer center was longer at the CH than the UH. There was, however, no effect on overall survival. Time to treatment may not be a meaningful indicator of cancer care quality.

In this, the largest study of postsurgical adjuvant therapy for stage IV melanoma reported to date, BCG/Cv did not improve outcomes over BCG/placebo. Favorable long-term survival among study patients suggests that metastasectomy should be considered for selected patients with stage IV melanoma.

The Gail model is a risk assessment tool that is accurate for general breast cancer risk screening. Because of the limited way that this model incorporates family history information, however, there are concerns that it may underestimate risk for many women attending specialized breast cancer risk assessment clinics. We collected comprehensive breast cancer risk factor information for 213 women attending a specialized breast cancer risk assessment clinic using a modified version of the CancerGene software. Breast cancer risk was calculated using the models of Gail and Claus as well as BRCAPRO and the tables of Bodian (for women with lobular neoplasia). Eighty-six percent of the women had a family history of breast cancer. Although 74% of women had risk factor histories that are thought to confound the Gail model (family history of breast cancer in second-degree relatives, family history of breast cancer before the age of 50, family history of bilateral breast cancer, family history of ovarian cancer, or personal history of lobular neoplasia), the inclusion of other models increased the risk level assignment in only 13% of the cases. We conclude that the Gail model is an appropriate risk assessment tool for most women attending specialized clinics, although the inclusion of models better able to account for family history information and personal history of lobular neoplasia is required to accommodate all women.

No abstract