Faculty Bibliography

BACKGROUND: Licofelone, a potent antiinflammatory agent has been reported to interfere with the cyclooxygenase-2 (COX-2) and 5-lipoxygenase (5-LOX) signaling pathways with few side-effects. However, the underlying mechanism of licofelone against human cancer is not understood. MATERIALS AND METHODS: Human and mouse prostate cancer cells were exposed to licofelone in a time- and dose-dependent manner. Cell growth/cell viability, apoptosis, and expression of COX-2 and 5-LOX at the gene and protein levels were investigated. RESULTS: For the first time, it was demonstrated that licofelone inhibited prostate cancer cell growth and significantly down-regulated COX-2 and 5-LOX expression. A weak inhibitory effect on COX-1 protein was also observed. CONCLUSION: Licofelone inhibited COX-2 and 5-LOX simultaneously and prevented overall cancer cell growth by enhancing apoptosis in both androgen-dependent and androgen-independent prostate cancer cells. Validating the dual role of licofelone in animal models of prostate cancer is critical for promoting its use as a potential chemopreventive or therapeutic agent

Rheumatoid arthritis (RA) treatment has witnessed major advances over the last 10 to 20 years. Methotrexate has emerged as the cornerstone of treatment with new biologic agents being used in addition in severe and resistant patients. New drugs being developed with novel modes of action are promising to expand treatment options and help provide better disease control for RA patients. In addition to medications, equally important is aggressive disease activity monitoring using one of the composite scores available in order to match treatments to disease activity. Disease activity score (DAS), DAS28 (with a 28 joint count), clinical disease activity index (CDAI), simplified disease activity index (SDAI), and routine assessment of patient index data (RAPID) are valuable tools and should be used in routine care to achieve disease control

OBJECTIVE: Osteoarthritis (OA) biomarkers are needed by researchers and clinicians to assist in disease diagnosis and assessment of disease severity, risk of onset, and progression. As effective agents for OA are developed and tested in clinical studies, biomarkers that reliably mirror or predict the progression or amelioration of OA will also be needed. METHODS: The NIH-funded OA Biomarkers Network is a multidisciplinary group interested in the development and validation of OA biomarkers. This review summarizes our efforts to characterize and classify OA biomarkers. RESULTS: We propose the "BIPED" biomarker classification (which stands for Burden of Disease, Investigative, Prognostic, Efficacy of Intervention and Diagnostic), and offer suggestions on optimal study design and analytic methods for use in OA investigations. CONCLUSION: The BIPED classification provides specific biomarker definitions with the goal of improving our ability to develop and analyze OA biomarkers, and to communicate these advances within a common framework.

The osteoarthritis disease process affects not only the cartilage but also the entire joint structure, including the synovium, bone and periarticular muscles. Characteristically, abnormal biomechanical forces result in an imbalance between chondrocyte anabolic and catabolic pathways, which ultimately leads to progressive joint destruction. Within cartilage and synovium, pro-inflammatory cytokines, particularly IL-1b and TNF-a, auto-catalytically stimulate their own production and induce chondrocytes to produce additional catabolic mediators, including proteases, chemokines, nitric oxide, and prostaglandins. The success of targeted biological therapy in rheumatoid arthritis has taught that the blockade of a single dominant cytokine can lead to remarkable clinical benefit, even in complex disease. The effectiveness of biologicals in inflammatory arthritides as disease modifying agents has increased the likelihood that similar strategies can be developed to target specific molecular mechanisms in osteoarthritis (OA). However, since the clinical development program for disease-modifying OA drugs (DMOADs) is complicated by the slow progression of disease in many patients, the introduction of DMOADs will be greatly enhanced by advances in imaging and biomarkers that serve as validated surrogate endpoints for meaningful clinical outcomes