Cyclooxygenase 2 expression in soft tissue leiomyosarcoma.

BACKGROUND: Cyclooxygenase 2 (COX2) expression is up-regulated and associated with adverse prognosis in select types of carcinoma. Although not extensively studied in skeletal or soft tissue sarcoma, expression of COX2 has been described in a variable number of gynecological and non-gynecological leiomyosarcomas. In this study, the prevalence and prognostic implications of COX2 expression in leiomyosarcoma were evaluated further. MATERIALS AND METHODS: Immunohistochemical stains for COX2 were performed on 33 samples of soft tissue leiomyosarcoma and tested for their association with clinicopathological parameters and patient outcome. RESULTS: COX2 staining was limited to tumor cells surrounding areas of tumor necrosis in 6 cases. There were no statistically significant correlations with the clinicopathological parameters studied, including local recurrence, distant metastasis, or disease-specific death. CONCLUSION: The low frequency, restricted distribution and absence of prognostic implications of COX2 expression soft tissue leiomyosarcoma suggest that this enzyme may not be a useful pharmacological target in this clinical setting.

Prognostic significance of c-Myc expression in soft tissue leiomyosarcoma.

The biological potential of soft tissue leiomyosarcoma is difficult to predict using current standard prognostic parameters, and control of systemic disease is challenging with current chemotherapeutic protocols. Additional prognostic markers and alternative treatment options are very much required. Previous studies implicate upregulation of the oncogenic nuclear transcription factor c-Myc with aggressive behavior of many solid tumors. Therefore, this oncoprotein was evaluated as a prognostic marker for overall and metastasis-free survival in leiomyosarcoma. Immunohistochemical stains for c-Myc were performed on 28 cases of leiomyosarcoma occurring in the deep somatic soft tissues. Comparisons of Kaplan-Meier survival curves stratified by c-Myc status and conventional prognostic factors (histological grade, tumor size, and tumor stage) were evaluated using standard univariate statistical methods. A subsequent multivariate survival analysis was carried out according to the Cox proportional hazards regression model adjusting for potential confounding prognostic factors. A total of 15 cases (54%) were positive for nuclear c-Myc expression. Patients with c-Myc-positive tumors had significantly shorter metastasis-free survival intervals compared with those with c-Myc-negative tumors (median, 9 months vs. >94 months; P=0.014). c-Myc positivity also correlated with decreased overall survival (median, 23 months vs. >94 months; P=0.017). Histological grade was the only other prognostic marker predictive of poor outcome in the univariate analyses. In the multivariate survival analysis, only c-Myc status reached statistical significance, suggesting that it is an important and independent predictor of prognosis in leiomyosarcoma. Detection of nuclear c-Myc in leiomyosarcoma predicts decreased overall and metastasis-free survival, independent of standard prognostic variables, tumor size, histological grade, and TNM stage. The expression of this oncoprotein may represent a useful prognostic marker and potential therapeutic target in leiomyosarcoma.

The pharmaceutical management system at Shade Tree Family Clinic: a medical student-run free clinic's experience.

The Shade Tree Family Clinic (STFC) is a student-run free walk-in health clinic opened by Vanderbilt University medical students in October 2005 to address the acute and chronic health needs of the underinsured community in East Nashville. STFC founders decided that the clinic would provide complete medical care, including dispensing commonly prescribed medications at no charge to patients. After several months of managing the inventory in a log book, a medical student author created a Web-based pharmaceutical tracking system to manage the medication formulary. In the process, the authors found little literature available addressing the logistics of setting up an electronic pharmacy system. The system created uses the freely available RxNorm and US Department of Veterans Affairs National Drug File Reference Terminology databases for medication and classification data. Incorporation of these databases allows medical students to dispense and restock medications with ease. The system ensures accurate data entry, improves efficiency, and facilitates continuity of care at a clinic staffed by hundreds of different students and physicians. The STFC pharmaceutical tracking system has facilitated the acquisition and efficient management of medications and consequently has had a great impact on the success of STFC.