


Post by Tiffany A. Traina, MD:
Aubert et al performed a retrospective review of pharmacy and medical claims to describe the impact of drugs that inhibit CYP2D6 (commonly used antidepressants) given concurrently with tamoxifen. Because the enzyme CYP2D6 converts tamoxifen into an active form, inhibitors of this enzyme theoretically could reduce the benefits of taking tamoxifen. These investigators found an increase in breast cancer recurrence with use of moderate to potent CYP2D6 inhibitors (including some commonly used anti-depressants). A small sample size and limited follow-up make this report less than definitive. In addition, CYP2D genotype (normal variations in CYP2D6 function not related to specific drugs) was not available for patients in this cohort. A second study failed to confirm any impact on outcomes. Hence, there are no definitive data that conclusively links the use of CYP2D6 inhibitors to reduced benefit from endocrine therapy. Nevertheless, because of the theoretical possibility that CYP2D6 inhibitors could possibly reduce tamoxifen efficacy, it is prudent to avoid concurrent use whenever possible, as we are already doing at MSKCC
The effect of endocrine therapy on cognitive function in postmenopausal women with early stage breast cancer was reported by Ribi et al. After 5 years of study therapy on BIG1-98, a subset of patients randomized to receive tamoxifen (T), letrozole (L) or these agents in sequence (T–L or L–T) underwent a series of cognitive function tests. Data was analyzed to compare results of patients who received L vs. T during the past 3 years. Investigators found that fewer patients had impaired cognitive function when taking letrozole compared with tamoxifen (37% v 54%, p=0.05). Limitations of the study include the lack of baseline cognitive function testing, possible differences in chemotherapy use, the small numbers of patients involved and the exclusion of patients who had withdrawn from the study.
A 70-gene risk profile was applied to fresh-frozen tissue from 1,600 early-stage breast cancer patients in a large meta-analysis of 7 adjuvant trials of endocrine therapy with or without chemotherapy. This assay categorizes patients into low-risk or high-risk of recurrence. In the 541 patients with 0-3 involved LNs, Bender et al report that chemotherapy plus endocrine therapy lowered the risk of recurrence of breast cancer elsewhere in the body for those patients categorized as high-risk but did not add to endocrine therapy for low-risk patients. The problem with this data, discussed by several questioners, was the fact that the assignment to chemotherapy or not was not done randomly. Hence other factors, not accounted for, might explain the differential effect of chemotherapy observed here. The MINDACT study will explore the use of this risk signature profile prospectively to determine use of adjuvant chemotherapy in addition to endocrine therapy.
Esserman et al reported on the I-SPY study, which is a multicenter trial (offered at MSKCC) designed to identify markers predictive of pCR and survival for women w/ LABC. Women were given neoadjuvant AC followed by paclitaxel. The early endpoints include tumor response on MRI, pathologically documented complete response, and residual cancer burden (RCB) and late endpoints include freedom from recurrence and survival. Overall, 213 patients were enrolled to have serial breast MRIs and core biopsies, and 149 were analyzed to date. Pretreatment assays included Agilient expression assays, MIP aCGH, p53 gene chip and sequencing, and IHC and reverse phase protein arrays (RPMA). Response to therapy was assessed by breast MRI, pCR, and RCB. Most pts had poor prognostic signatures using the 70-gene risk profiled discussed above. As predicted, patients with triple negative breast cancer had a high pCR and those with good risk features (ie: luminal A) had a low response. Patients with basal-like tumors who had an excellent response had better outcomes than those who did not. PCR and RCB were highly predictive of outcomes. I-SPY reported that many of these biomarkers predicted response to therapy and outcomes. Additional analyses on this study will be reported tomorrow.