Design and optimization of potent and orally bioavailable tetrahydronaphthalene Raf inhibitors.

Inhibition of mutant B-Raf signaling, through either direct inhibition of the enzyme or inhibition of MEK, the direct substrate of Raf, has been demonstrated preclinically to inhibit tumor growth. Very recently, treatment of B-Raf mutant melanoma patients with a selective B-Raf inhibitor has resulted in promising preliminary evidence of antitumor activity. This article describes the design and optimization of tetrahydronaphthalene-derived compounds as potent inhibitors of the Raf pathway in vitro and in vivo. These compounds possess good pharmacokinetic properties in rodents and inhibit B-Raf mutant tumor growth in mouse xenograft models.

Analysis of two pharmacodynamic biomarkers using acoustic micro magnetic particles on the ViBE bioanalyzer.

Pharmacodynamic responses to drug treatment are often used to confirm drug-on-target biological responses. Methods ranging from mass spectrometry to immunohistochemistry exist for such analyses. By far, the most extensively used methodologies employ antigen-specific antibodies for detection (at a minimum) and, in some cases, target quantitation as well. Using a novel frequency-modulating technology from BioScale called acoustic micro magnetic particle (AMMP) detection, two pathway biomarkers were chosen for pharmacodynamic analysis and compared with either AlphaScreen or LI-COR Western blot assays. For these studies, pharmacodynamic biomarkers for both proteasome and phosphoinositol 3-kinase inhibition were used. Our results show clearly that the BioScale technology is a robust and rapid method for measuring recombinant standards or endogenously derived proteins from both tissue culture and mouse xenograft tumor lysates. Moreover, the sensitivity obtained with the BioScale platform compares favorably with LI-COR Western blot and AlphaScreen technologies. Furthermore, the use of the ViBE Bioanalyzer eliminates the labor-intensive effort of Western blot analysis and is devoid of the optical and other endogenous interfering substances derived from lysates of xenograft tumors typically observed with AlphaScreen.

Gene expression profiles predict early relapse in ovarian cancer after platinum-paclitaxel chemotherapy.

PURPOSE: Women with advanced epithelial ovarian cancer are routinely treated with platinum-paclitaxel chemotherapy following cytoreductive surgery, yet only approximately 20% achieve long-term disease-free survival. We hypothesized that differences in gene expression before treatment could distinguish patients with short versus long time to recurrence after administration of platinum-paclitaxel combination chemotherapy. EXPERIMENTAL DESIGN: To test this hypothesis, gene expression profiling of 79 primary surgically resected tumors from women with advanced-stage, high-grade epithelial ovarian cancer was done using cDNA microarrays containing 30,721 genes. Supervised learning algorithms were applied in an effort to develop a binary classifier that could discriminate women at risk for early (< or =21 months) versus late (>21 months) relapse after initial chemotherapy. RESULTS: A 14-gene predictive model was developed using a set of training samples (n = 51) and subsequently tested using an independent set of test samples (n = 28). This model correctly predicted the outcome of 24 of the 28 test samples (86% accuracy) with 95% positive predictive value for early relapse. CONCLUSIONS: Predictive markers for early recurrence can be identified for platinum-paclitaxel combination chemotherapy in primary ovarian carcinoma. The proposed 14-gene model requires further validation.