Titlebook: Clinical and Biological Basis of Lung Cancer Prevention; Yves Martinet,Fred R. Hirsch,James L. Mulshine Book 1998 Springer Basel AG 1998 P

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Scalable Uncertainty Managementhods is insufficient. Better methods of early lung cancer detection are fundamental for a shift to the routine management of truly early (preinva-sive) lung cancer. This should be based on two main concepts: 1) A large body of evidence is accumulating which suggests that invasive lung cancer is the

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Scalable Uncertainty Managementiology which is reflected by the numerous histologies of lung cancer [1], Currently, the precise sequence of genetic events leading to an invasive cancer is speculative, but the development of new techniques offers possibilities of understanding this process. In addition, these techniques could be i

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Scalable Uncertainty Managemente. The explosion began with the discovery of cyclins and the identification of . maturation promoting factor as a complex of cyclin B and a cdc2-related protein kinase [1]. Since then cyclins and the cyclindependent kinases (CDKs) have been identified as the key mediators of cell cycle progression,

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Scalable Uncertainty Managementregulatory genes are known to be frequently involved. In lung cancer they include G protein signal transduction (. genes and gastrin releasing peptides [GRPs]); epidermal growth factor (EGF), transforming growth factor alpha (TGF-α) and their family of receptors (EGFR and the products of the . and .

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