A High-Throughput Methodology for Identifying Molecular Targets Overexpressed in Lung Cancers
As discussed in previous chapters, lung cancer is one of most deadly diseases and conventional treatments for lung cancer patients are largely ineffective. Presented with at least four major histological types oflung cancers, dependable tools for early detection and diagnosis of each type oflung cancers are urgently needed. This chapter focuses on a high-throughput methodology for identifying new molecular targets in lung cancers and these targets will potentially provide diagnostic and therapeutic values for lung cancer patients (1 ). Previous studies have reported several lung cancer markers including carcinoembryonic antigen (CEA), urokinase plasminogen activator, squamous cell carcinoma antigen (SCC), cytokeratin 19 fragment (CYFRA 21.1) (2 –4 ), PGP 9.5 (5 ), and RACS1 (6 ); however, there is room for much improvement in this area.
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Assessment of Insulin-Like Growth Factors and Mutagen Sensitivity as Predictors of Lung Cancer Risk
Insulin-like growth factors (IGFs) are mitogenic peptide hor...
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High-Throughput Technology: Green Fluorescent Protein to Monitor Cell Death
Reliable assessment of cell death is now pivotal to many res...