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Drug Evaluations in Pancreatic Cancer Culture Systems |
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1 | (28) |
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2 | (1) |
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Types of Cells and Cell Lines |
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2 | (5) |
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Normal (Non-Cancerous) Cells |
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2 | (1) |
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Pancreatic Cancer Cell Lines in Culture |
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3 | (1) |
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Rodent Pancreatic Cancer Cell Lines |
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4 | (1) |
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Insulin-Secreting Cell Lines |
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5 | (1) |
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5 | (1) |
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6 | (1) |
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7 | (1) |
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Types of Culturing Systems |
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7 | (2) |
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7 | (1) |
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8 | (1) |
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8 | (1) |
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High-Throughput Screening |
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9 | (1) |
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Applications for Pharmacotherapeutic Evaluations |
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9 | (9) |
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Signal Transduction Pathways |
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9 | (4) |
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Receptor Tyrosine Kinases |
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13 | (2) |
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15 | (1) |
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NF-kB (Nuclear Factor-kappaB) |
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16 | (2) |
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18 | (1) |
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18 | (4) |
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18 | (1) |
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18 | (1) |
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19 | (1) |
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Cell Viability in Cell Populations |
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20 | (1) |
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21 | (1) |
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22 | (1) |
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22 | (1) |
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23 | (6) |
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Mouse Xenograft Models for Drug Discovery in Pancreatic Cancer |
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29 | (22) |
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29 | (1) |
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Classical Drug Development Program at the NCI |
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30 | (2) |
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32 | (5) |
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32 | (2) |
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Genetically Engineered Mouse Models |
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34 | (1) |
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35 | (1) |
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Freshly Heterotransplanted Human Tumor Xenografts |
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36 | (1) |
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Interpreting Results: Variables and Endpoints |
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37 | (3) |
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Growth Characteristics of the Model |
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38 | (1) |
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38 | (1) |
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Stage at Which the Treatment Begins |
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38 | (1) |
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39 | (1) |
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39 | (1) |
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39 | (1) |
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Future Approaches in Drug Discovery: Biomarkers and Personalized Therapies |
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40 | (4) |
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41 | (2) |
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Models and Techniques for Personalized Treatments |
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43 | (1) |
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44 | (2) |
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46 | (5) |
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Fluorescent Metastatic Mouse Models of Pancreatic Cancer for Drug Discovery |
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51 | (22) |
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52 | (3) |
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Green Fluorescent Protein (GFP) Models of Pancreatic Cancer |
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55 | (5) |
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GFP Models of Pancreatic Cancer |
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55 | (1) |
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Tumor Selective Metastatic Organ Targeting |
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55 | (2) |
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Real-Time Simultaneous Whole-Body Imaging of BxPC-3-GFP Tumor and Multiple Metastatic Growth |
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57 | (2) |
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Sequential Intravital Images of Omental and Liver Micrometastasis of BxPC-3-GFP |
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59 | (1) |
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Red Fluorescent Protein (RFP) Models of Pancreatic Cancer |
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60 | (5) |
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Red Fluorescent Protein Models of Pancreatic Cancer |
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60 | (1) |
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Sensitivity of Fluorescence Imaging |
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61 | (2) |
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Use of RFP Models for Drug Discovery and Evaluation |
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63 | (2) |
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Dual-Color Models of Pancreatic Cancer |
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65 | (3) |
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Dual-Color Imaging of Nascent Blood Vessels Vascularizing Pancreatic Cancer in an Orthotopic Model Demonstrates Anti-Angiogenesis Efficacy of Gemcitabine |
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65 | (2) |
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Dual-Color Imaging of Nascent Blood Vessels Vascularizing Liver Metastasis of Pancreatic Cancer also Demonstrates Anti-Angiogenesis Efficacy of Gemcitabine |
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67 | (1) |
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68 | (1) |
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69 | (4) |
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A New Preclinical Paradigm for Pancreas Cancer |
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73 | (22) |
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73 | (3) |
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Delayed Diagnosis in a Rapidly Lethal Disease |
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74 | (1) |
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Diagnostics and Measures of Treatment Efficacy |
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74 | (1) |
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75 | (1) |
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Cancer as a Complex Organ |
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76 | (1) |
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Human Disease in a Mammalian Surrogate: Modeling Pancreas Cancer in Mice |
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77 | (1) |
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Lessons Learned from Modeling in Mice |
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78 | (3) |
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81 | (1) |
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Criteria for a Valid Mouse Model of Disease |
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82 | (1) |
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Coordinated Targeting of Stroma and Epithelium: Getting Through the Shield to Hit the Heel |
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82 | (4) |
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82 | (1) |
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Non-cell Autonomous Targets |
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83 | (3) |
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Putting Principles into Practice |
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86 | (4) |
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Risk Factors and Chemoprevention |
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86 | (1) |
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Early Detection, Disease Recurrence, and Minimum Residual Disease |
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86 | (1) |
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87 | (1) |
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87 | (1) |
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87 | (1) |
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Sequencing of Agents and Dosing Schedules |
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88 | (2) |
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90 | (1) |
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90 | (5) |
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Zebrafish as a Biological System for Identifying and Validating Therapeutic Targets and Compounds |
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95 | (18) |
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96 | (1) |
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Role of Zebrafish in Pancreatic Cancer |
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96 | (1) |
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Zebrafish Model as a Biological System to Identify Molecular Targets and Validate Drugs |
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96 | (1) |
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Zebrafish Models and Techniques for Drug Discovery in Pancreatic Cancer |
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97 | (2) |
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99 | (2) |
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Exocrine Pancreas of Wild-Type Zebrafish as Models |
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99 | (1) |
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Techniques in Wild-Type Zebrafish for Drug Discovery |
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100 | (1) |
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101 | (3) |
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Zebrafish with Germ-Line Mutations Affecting Exocrine Pancreas as Models |
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101 | (2) |
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Techniques in Zebrafish with Germ-Line Mutations for Drug Discovery |
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103 | (1) |
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104 | (2) |
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Zebrafish Developing Pancreatic Cancer as Models |
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104 | (2) |
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Techniques in Genetically Engineered Zebrafish for Drug Discovery |
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106 | (1) |
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106 | (2) |
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Zebrafish Xenograft of Pancreatic Cancer as Models |
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106 | (2) |
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Techniques in Zebrafish Xenograft Models for Drug Discovery |
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108 | (1) |
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108 | (1) |
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109 | (4) |
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Gene Expression Arrays in Pancreatic Cancer Drug Discovery Research |
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113 | (22) |
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113 | (1) |
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Gene Expression Profiling Using DNA Microarray |
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114 | (2) |
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Gene Expression Microarray Platforms |
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114 | (2) |
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116 | (1) |
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Application of Microarray Data in Drug Discovery for Pancreatic Cancer |
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116 | (8) |
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Reclassifying Cancer Types |
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117 | (1) |
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Characterizing Known Cancer Classes |
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117 | (2) |
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119 | (1) |
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Expression Signatures of Cancer Subclasses |
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119 | (2) |
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From Lists of Differentially Expressed Genes to Drug Targets |
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121 | (2) |
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Gene Expression Signatures as a Drug Discovery Tool |
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123 | (1) |
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Other Potential Applications of DNA Microarray |
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124 | (4) |
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124 | (1) |
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125 | (1) |
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Incorporating Gene Expression Arrays with Model Organisms |
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126 | (1) |
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Integrative High-Throughput Analyses |
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127 | (1) |
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128 | (1) |
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129 | (6) |
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Using Array Comparative Genomic Hybridization of Pancreatic Cancer Samples to Map Interesting Regions for Target Gene Identification |
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135 | (18) |
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135 | (1) |
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Alteration of the Genome Is Central to the Causation of All Cancer |
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136 | (1) |
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Development of Array Comparative Genomics Hybridization and Platform Comparison |
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137 | (2) |
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Analysis of Array CGH Data |
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139 | (1) |
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Pancreatic Tumor Samples Analyzed and Findings |
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140 | (7) |
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Further Analysis to Validate Regions and Idenify Cancer Genes |
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147 | (2) |
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149 | (1) |
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149 | (4) |
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The Application of High-Throughput RNAi in Pancreatic Cancer Target Discovery and Drug Development |
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153 | (18) |
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153 | (1) |
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154 | (2) |
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RNAi High-Throughput Screening |
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156 | (4) |
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High-Throughput RNAi for Target Identification and Its Application to Pancreatic Cancer |
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160 | (4) |
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High-Throughput RNAi in Drug Discovery and Development and Its Application to Pancreatic Cancer |
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164 | (4) |
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168 | (1) |
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168 | (3) |
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MicroRNA Profilling and Its Application in Drug Discovery in Pancreatic Cancer |
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171 | (10) |
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171 | (1) |
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172 | (3) |
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173 | (1) |
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Bead-Based Method Using Flow Cytometry |
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173 | (1) |
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Cloning Methods---miRNA Serial Analysis of Gene Expression |
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174 | (1) |
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RNA-Primed Array-Based Klenow Enzyme Assay |
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175 | (1) |
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Study of miRNA in Pancreatic Cancer |
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175 | (2) |
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Application of miRNA Profiling in Drug Discovery in Pancreatic Cancer |
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177 | (1) |
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178 | (1) |
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178 | (3) |
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Methylation Detection and Epigenomics in Pancreatic Cancer |
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181 | (24) |
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181 | (2) |
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Pancreatic Cancer Is a Genetic Disease |
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181 | (2) |
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Precursor Lesions to Pancreatic Cancer |
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183 | (1) |
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Epigenetic Alterations in Pancreatic Cancer |
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183 | (11) |
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184 | (3) |
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Global DNA Methylation Studies |
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187 | (6) |
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Epigenetic Regulation of miRNA in Cancer |
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193 | (1) |
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Aberrant DNA Methylation Patterns as Potential Biomarkers of Pancreatic Cancer |
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193 | (1) |
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The Pancreatic Cancer Genome Project |
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194 | (1) |
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195 | (1) |
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196 | (9) |
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Tissue Microarray Applications in Drug Discovery for Pancreatic Cancer |
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205 | (18) |
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205 | (1) |
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FFPE Tissues in Cancer Research |
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206 | (1) |
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207 | (3) |
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Types of Tissue Microarrays |
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208 | (1) |
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209 | (1) |
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210 | (1) |
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210 | (1) |
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211 | (2) |
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211 | (1) |
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Clinical Applications Using TMAs |
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212 | (1) |
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212 | (1) |
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213 | (7) |
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214 | (3) |
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Fluorescent In Situ Techniques |
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217 | (3) |
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220 | (3) |
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Proteomic Analysis of Blood and Pancreatic Juice |
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223 | (20) |
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223 | (3) |
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Quantitative LC-MS/MS Approaches |
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226 | (5) |
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Stable Isotope Labelling---In Vitro |
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226 | (2) |
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Stable Isotope Labelling---In Vivo |
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228 | (1) |
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Phosphoproteomics: Detection and Quantification of Phosphoproteins |
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229 | (1) |
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Multiple Reaction Monitoring |
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230 | (1) |
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Overview of Proteomic Analysis of Juice and Blood in Pancreatic Cancer Samples to Date |
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231 | (1) |
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Novel Treatments for Pancreatic Cancer: Analysis of Plasma/Serum Biomarkers |
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232 | (4) |
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The EGFR Pathway in Pancreatic Cancer and Its Therapeutic Intervention: Associated Biomarkers |
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233 | (2) |
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The VEGF Pathway and Its Therapeutic Intervention: Associated Biomarkers |
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235 | (1) |
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236 | (1) |
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237 | (6) |
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Applications of Antibody-Lectin Sandwich Arrays (ALSA) to Pancreatic Cancer Diagnostics and Drug Discovery |
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243 | (28) |
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243 | (1) |
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Protein Glycosylation in Normal Biological Functions |
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244 | (5) |
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Structural Features of Protein Glycosylation |
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245 | (1) |
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245 | (2) |
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247 | (2) |
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Protein Glycosylation in Cancer |
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249 | (6) |
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Roles of Glycans in Cancer Progression |
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249 | (2) |
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Common Glycan Alterations in Cancer |
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251 | (4) |
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Antibody-Lectin Sandwich Arrays (ALSA) |
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255 | (4) |
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Reproducible and Sensitive Detection Using Affinity Reagents |
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255 | (2) |
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Multiplexing Through the Use of Microarrays |
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257 | (1) |
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Convenient Detection of Both Core Protein and Glycan Levels |
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258 | (1) |
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Low-Volume, High-Throughput Sample Processing |
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258 | (1) |
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ALSA in Pancreatic Cancer Research |
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259 | (3) |
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Types of Experiments Using ALSA |
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259 | (1) |
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Example Applications in Pancreatic Cancer Research |
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260 | (2) |
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262 | (9) |
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The Development of Pharmacodynamic Endpoint Models for Evaluation of Therapeutics in Pancreatic Cancer |
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271 | (20) |
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271 | (1) |
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272 | (1) |
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272 | (1) |
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273 | (1) |
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Hetero-Transplanted Human Xenografts |
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273 | (1) |
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Genetically Engineered Mouse Models |
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274 | (1) |
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Clinical Assessment of PD |
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274 | (1) |
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275 | (1) |
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PD Models for Gemcitabine |
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275 | (4) |
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Equilibrative Nucleoside Transporter 1 |
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276 | (1) |
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Cytidine Deaminase Activity and Deoxycytidylate Deaminase |
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276 | (1) |
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277 | (1) |
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Survivin: An Anti-Apoptotic Gemcitabine Resistance Marker |
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277 | (1) |
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CA 19-9 as a Prognostic Factor for Response to Gemcitabine |
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278 | (1) |
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279 | (1) |
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PD Models for Investigational Angiogenesis-Targeting Agents in Pancreatic Cancer |
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279 | (2) |
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Introduction to Angiogenesis in Cancer |
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279 | (1) |
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Angiogenesis as a Therapeutic Target |
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280 | (1) |
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Biomarkers of Angiogenesis in Cancer |
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280 | (1) |
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PD Models Utilized in Assessing Mechanism and Activity of COX-2 Expression and Inhibition in Pancreatic Cancer |
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281 | (2) |
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COX-2 is Highly Expressed in Pancreatic Cancers |
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281 | (1) |
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Selective COX-2 Inhibitors |
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282 | (1) |
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PD Models for COX-2 Inhibition in Pancreatic Cancer |
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282 | (1) |
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Targeting Stroma: Secreted Protein Acid and Rich in Cysteine |
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283 | (1) |
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Other Potential PD Endpoints: Circulating Tumor Cells |
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283 | (1) |
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284 | (1) |
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284 | (7) |
Index |
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291 | |