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Full-Text Articles in Medicine and Health Sciences
Identification Of Thioaptamer Ligand Against E-Selectin: Potential Application For Inflamed Vasculature Targeting., Aman P Mann, Anoma Somasunderam, René Nieves-Alicea, Xin Li, Austin Hu, Anil K Sood, Mauro Ferrari, David G Gorenstein, Takemi Tanaka
Identification Of Thioaptamer Ligand Against E-Selectin: Potential Application For Inflamed Vasculature Targeting., Aman P Mann, Anoma Somasunderam, René Nieves-Alicea, Xin Li, Austin Hu, Anil K Sood, Mauro Ferrari, David G Gorenstein, Takemi Tanaka
Department of Pharmacology and Experimental Therapeutics Faculty Papers
Active targeting of a drug carrier to a specific target site is crucial to provide a safe and efficient delivery of therapeutics and imaging contrast agents. E-selectin expression is induced on the endothelial cell surface of vessels in response to inflammatory stimuli but is absent in the normal vessels. Thus, E-selectin is an attractive molecular target, and high affinity ligands for E-selectin could be powerful tools for the delivery of therapeutics and/or imaging agents to inflamed vessels. In this study, we identified a thiophosphate modified aptamer (thioaptamer, TA) against E-selectin (ESTA-1) by employing a two-step selection strategy: a recombinant protein-based …
Survival Associated Pathway Identification With Group Lp Penalized Global Auc Maximization., Zhenqiu Liu, Laurence S Magder, Terry Hyslop, Li Mao
Survival Associated Pathway Identification With Group Lp Penalized Global Auc Maximization., Zhenqiu Liu, Laurence S Magder, Terry Hyslop, Li Mao
Department of Pharmacology and Experimental Therapeutics Faculty Papers
It has been demonstrated that genes in a cell do not act independently. They interact with one another to complete certain biological processes or to implement certain molecular functions. How to incorporate biological pathways or functional groups into the model and identify survival associated gene pathways is still a challenging problem. In this paper, we propose a novel iterative gradient based method for survival analysis with group Lp penalized global AUC summary maximization. Unlike LASSO, Lp (p < 1) (with its special implementation entitled adaptive LASSO) is asymptotic unbiased and has oracle properties 1. We first extend Lp for individual gene identification to group Lp penalty for pathway selection, and then develop a novel iterative gradient algorithm for penalized global AUC summary maximization (IGGAUCS). This method incorporates the genetic pathways into global AUC summary maximization and identifies survival associated pathways instead of individual genes. The tuning parameters are determined using 10-fold cross validation with training data only. The prediction performance is evaluated using test data. We apply the proposed method to survival outcome analysis with gene expression profile and identify multiple pathways simultaneously. Experimental results with simulation and gene expression data demonstrate that the proposed procedures can be used for identifying important biological pathways that are related to survival phenotype and for building a parsimonious model for predicting the survival times.
Molecular Staging Estimates Occult Tumor Burden In Colorectal Cancer, Alex Mejia, Stephanie Schulz, Terry Hyslop, David S. Weinberg, Scott A. Waldman
Molecular Staging Estimates Occult Tumor Burden In Colorectal Cancer, Alex Mejia, Stephanie Schulz, Terry Hyslop, David S. Weinberg, Scott A. Waldman
Department of Pharmacology and Experimental Therapeutics Faculty Papers
Tumor cells in regional lymph nodes are a key prognostic marker of survival and predictive marker of response to adjuvant chemotherapy in colorectal cancer. However, clinicopathologic techniques to detect lymph node metastases remain imperfect, and ~30% of patients with lymph nodes negative by histology (pN0) develop recurrent disease, reflecting occult metastases that escape detection. These observations underscore an unmet clinical need for accurate approaches to identify occult nodal metastases in colorectal cancer patients. GUCY2C is a receptor whose expression normally is restricted to intestinal epithelial cells, but is universally over-expressed by colorectal cancer cells. A prospective, multicenter, blinded clinical trial …
Selection Of Optimal Reference Genes For Normalization In Quantitative Rt-Pcr., Inna Chervoneva, Yanyan Li, Stephanie Schulz, Sean Croker, Chantell Wilson, Scott A Waldman, Terry Hyslop
Selection Of Optimal Reference Genes For Normalization In Quantitative Rt-Pcr., Inna Chervoneva, Yanyan Li, Stephanie Schulz, Sean Croker, Chantell Wilson, Scott A Waldman, Terry Hyslop
Department of Pharmacology and Experimental Therapeutics Faculty Papers
BACKGROUND: Normalization in real-time qRT-PCR is necessary to compensate for experimental variation. A popular normalization strategy employs reference gene(s), which may introduce additional variability into normalized expression levels due to innate variation (between tissues, individuals, etc). To minimize this innate variability, multiple reference genes are used. Current methods of selecting reference genes make an assumption of independence in their innate variation. This assumption is not always justified, which may lead to selecting a suboptimal set of reference genes. RESULTS: We propose a robust approach for selecting optimal subset(s) of reference genes with the smallest variance of the corresponding normalizing factors. …