High pathologic complete response in Her2-positive, early-stage breast cancer to a novel nonanthracycline neoadjuvant chemotherapy.

BACKGROUND: Neoadjuvant chemotherapy is widely used to downstage breast cancers before surgery and is an accepted standard of care among patients with early-stage breast cancer in whom adjuvant chemotherapy would be recommended. Pathologic complete response (pCR) rate is a robust predictor of outcome for certain breast cancer subtypes, including Her2-overexpressing breast cancer. The incorporation of Her2-targeted therapies has significantly increased the pCR rate in the neoadjuvant setting. Although regimens composed of trastuzumab, nab-paclitaxel, and vinorelbine have demonstrated clinical efficacy in patients with metastatic breast cancer, few studies have examined this combination in early-stage Her2+ breast cancer. We hypothesized that the combination of neoadjuvant nab-paclitaxel followed by vinorelbine could represent a nonanthracycline-based treatment option for early-stage Her2-overexpressing breast cancer. PATIENTS AND METHODS: Patients received 4 cycles of nab-paclitaxel 260 mg/m(2) intravenously (IV) every 14 days for 4 cycles followed by vinorelbine 25 mg/m(2) IV weekly for 12 weeks with concurrent trastuzumab (4 mg/kg loading dose, and then 2 mg/kg/wk). The primary endpoint was the rate of pCR. Secondary endpoints included clinical response, toxicity, and survival rates. RESULTS: A total of 27 patients were accrued to the trial. The median tumor size was 4.0 cm, and more than 50% of patients had axillary lymph node involvement. The pCR rate was 48.1%. Among the 40% of patients who had hormone receptor-positive disease, the pCR rate was 18.2%, compared with 68.8% among patients with estrogen receptor/progesterone receptor-negative tumors. CONCLUSIONS: The combination of trastuzumab with nab-paclitaxel followed by vinorelbine was well tolerated and had promising activity in the neoadjuvant setting.

PF4/heparin-antibody complex induces monocyte tissue factor expression and release of tissue factor positive microparticles by activation of FcγRI.

Heparin-induced thrombocytopenia (HIT) is a potentially devastating form of drug-induced thrombocytopenia that occurs in patients receiving heparin for prevention or treatment of thrombosis. Patients with HIT develop autoantibodies to the platelet factor 4 (PF4)/heparin complex, which is termed the HIT Ab complex. Despite a decrease in the platelet count, the most feared complication of HIT is thrombosis. The mechanism of thrombosis in HIT remains poorly understood. We investigated the effects of the HIT Ab complex on tissue factor (TF) expression and release of TF-positive microparticles in peripheral blood mononuclear cells and monocytes. To model these effects ex vivo, we used a murine mAb specific for the PF4/heparin complex (KKO), as well as plasma from patients with HIT. We found that the HIT Ab complex induced TF expression in monocytes and the release of TF-positive microparticles. Further, we found that induction of TF is mediated via engagement of the FcγRI receptor and activation of the MEK1-ERK1/2 signaling pathway. Our data suggest that monocyte TF may contribute to the development of thrombosis in patients with HIT.

Managing chronic myeloid leukemia: a coordinated team care perspective.

Treatment of chronic myeloid leukemia (CML) has seen dramatic progress in recent years with the development of tyrosine kinase inhibitors (TKIs). To take maximum advantage of therapy with TKIs, compliance and good understanding of monitoring response to therapy are essential. We established a team that included a hematologist, a physician assistant (PA), and a nurse who work closely with a social worker, a pharmacist, and a research coordinator to assist patients throughout their journey with CML. The patient and the referring community oncologist were incorporated into this team. This coordinated team care approach takes advantage of each member's specific skills to provide patients with education about CML, encourage patients' strong involvement in tracking/monitoring results/response to therapy, and support patients with issues that arise throughout the long course of the disease. A low rate of noncompliance with clinic visits (3%) was an indirect measure of the impact of this approach. The inclusion of the referring oncologist in the team extended the tracking of monitoring results to the community practice. We conclude that a coordinated team care approach is feasible in the management of patients with CML. This approach provided patients with education and a good understanding of response to therapy and improved relations with the health care team.

Translation of innovative designs into phase I trials.

PURPOSE: Phase I clinical trials of new anticancer therapies determine suitable doses for further testing. Optimization of their design is vital in that they enroll cancer patients whose well-being is distinctly at risk. This study examines the effectiveness of knowledge transfer about more effective statistical designs to clinical practice. METHODS: We examined abstract records of cancer phase I trials from the Science Citation Index database between 1991 and 2006 and classified them into clinical (dose-finding trials) and statistical trials (methodologic studies of dose-escalation designs). We then mapped these two sets by tracking which trials adopted new statistical designs. RESULTS: One thousand two hundred thirty-five clinical and 90 statistical studies were identified. Only 1.6% of the phase I cancer trials (20 of 1,235 trials) followed a design proposed in one of the statistical studies. These 20 clinical studies showed extensive lags between publication of the statistical paper and its translation into a clinical paper. These 20 clinical trials followed Bayesian adaptive designs. The remainder used variations of the standard up-and-down method. CONCLUSION: A consequence of using less effective designs is that more patients are treated with doses outside the therapeutic window. Simulation studies have shown that up-and-down designs treated only 35% of patients at optimal dose levels versus 55% for Bayesian adaptive designs. This implies needless loss of treatment efficacy and, possibly, lives. We suggest that regulatory agencies (eg, US Food and Drug Administration) should proactively encourage the adoption of statistical designs that would allow more patients to be treated at near-optimal doses while controlling for excessive toxicity.