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Cancer Genomics

Ulrich Pfeffer

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ISBN 10: 9400758413 / ISBN 13: 9789400758414
Editore: Springer Mrz 2013, 2013
Nuovi Condizione: Neu
Da Rhein-Team Lörrach Ivano Narducci e.K. (Lörrach, Germania)

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Neuware - Written by outstanding contributors to the endeavor of genomics in oncology, this book yields an overview over the applications of microarray gene expression and copy number variation analyses to the various cancer types. Each chapter addresses a single disease and critically reviews the related literature with special emphasis on how the genomic analyses have been or can be applied to the clinics for identification of clinically relevant subclasses, the prognostication of the risk of relapse or the prediction of response to therapy. Several chapters address more general aspects of the technology such as tumor heterogeneity as a confounding factor and the possibility to use existing data for future research. The paradigm shift induced by cancer genomics in our understanding of the evolution of cancer will also be addressed. 596 pp. Englisch. Codice inventario libreria 9789400758414

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Titolo: Cancer Genomics

Casa editrice: Springer Mrz 2013

Data di pubblicazione: 2013

Legatura: Buch

Condizione libro:Neu

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The combination of molecular biology, engineering and bioinformatics has revolutionized our understanding of cancer revealing a tight correlation of the molecular characteristics of the primary tumor in terms of gene expression, structural alterations of the genome, epigenetics and mutations with  its propensity to metastasize and to respond to therapy. It is not just one or a few genes, it is the complex alteration of the genome that determines cancer development and progression. Future management of cancer patients will therefore rely on thorough molecular analyses of each single case.

Through this book, students, researchers and oncologists will obtain a comprehensive picture of what the first  ten years of cancer genomics have revealed. Experts in the field describe, cancer by cancer, the progress made and its implications for diagnosis, prognosis and treatment of cancer. The deep impact on the clinics and the challenge for future translational research become evident. 

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