Biomedical Application of Proteomics by Edited by, Jean-Charles Sanchez, Garry L. Corthals, Denis F. PDF

By Edited by, Jean-Charles Sanchez, Garry L. Corthals, Denis F. Hochstrasser

ISBN-10: 3527303545

ISBN-13: 9783527303540

ISBN-10: 3527304886

ISBN-13: 9783527304882

ISBN-10: 3527305963

ISBN-13: 9783527305964

ISBN-10: 3527305971

ISBN-13: 9783527305971

ISBN-10: 3527308075

ISBN-13: 9783527308071

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A prognosis can vary over time. Thus, in contrast to diagnosis, prognosis is multidimensional. In modern, scientific medical thinking, prognosis depends on a collection of variables called prognostic factors. In cancer, for example, prognostic factors include macroscopic and microscopic characteristics of diseased organs and tissues. However, prognostic factors concern not only the diseased organ, but also the patient and the treatment administered. In solid cancers, the most decisive prognostic factor is the result of the surgical resection – microscopically curative or not – information that cannot and never will be provided by a molecular pattern.

In proteomics research, patterns of protein expression have been shown to yield more biologically relevant and clinically useful information than assays of single proteins. For example, protein chips coupled with SELDI/TOF-MS (surface-enhanced laser desorption ionization/timeof-flight mass spectrometry), when coupled to a pattern-matching algorithm, have led to the identification of biomarker patterns in pancreatic juice, urine, or serum, which correctly classified cancer and non-cancer with high sensitivity and specificity in patient populations suffering from several cancers.

Corthals, D. F. Hochstrasser Copyright © 2004 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim ISBN: 3-527-30807-5 8 1 Proteomics in Biomedicine – A Tool, a Science, or an Art? pected to increase massively over the next few years. Conventional technologies such as two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) and novel tools such as protein chips allow disease or risk patterns to be recognized and linked with patient-specific outcomes. Proteomics tools, much better than genetic techniques, will allow the investigation of the evolution of disease and the influence of treatment over time.

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Biomedical Application of Proteomics by Edited by, Jean-Charles Sanchez, Garry L. Corthals, Denis F. Hochstrasser


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