Titlebook: Drug Discovery in Pancreatic Cancer; Models and Technique Haiyong Han,Paul Grippo Book 2010 Springer-Verlag New York 2010 Han.cancer.diagno

Bouquet

Methylation Detection and Epigenomics in Pancreatic Cancer,epigenetic alterations found in pancreatic cancer is presented and discussed in the light of potential therapeutic applicability as well as pointing out possible future directions of studies combining global genetic and epigenetic analyses.

MITE

Tissue Microarray Applications in Drug Discovery for Pancreatic Cancer,ancer. The TMA format offers a standardized platform to optimize and validate newly identified biomarkers and drug targets in pancreatic cancer research to patient tumor samples to provide critical links in advancing cancer research findings to the clinical setting.

懸掛

Haiyong Han,Paul GrippoThis has made the development of pharmacodynamic endpoint assays and the small animal imaging models ever more important.The last two chapters of the book will review the recent developments in this a

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Irascible

分離

Foundamental of Mechanical Vibrationwever, 90% of novel antineoplastic drugs fail in the clinic despite evidence of antitumor efficacy in classical preclinical models. This raises serious concerns whether such models are predictive of drug efficacy in humans, supporting the development of alternative approaches. Furthermore, a general

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GLIDE

絕緣

Vague Objects and Vague Identitycreatic epithelia into pre-malignant neoplasia and eventually invasive carcinoma. In spite of these advances, effective treatment is still lacking, and the prognosis of most patients diagnosed with pancreatic cancer is dismal. Molecularly targeted agents show great potential for improving treatment

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Boolean-Valued Sets as Vague Setsderstand the biology of pancreatic cancer in a variety of contexts. When combined with supervised and unsupervised interrogations using complex mathematical algorithms, researchers have been able to unveil specific molecular features of subsets of tumors. This has subsequently led to a greater under