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Market Research Report

Disease-Related Biomarkers: Their Potential in Patient Screening, Prognosis, and Stratification

Published by Insight Pharma Reports Contact us : +1-860-674-8796
Published 2007/06 Content info 234 pages
Product code CD52986
Price From  US $ 2995 Order/Price list
US $ 2995 Hard Copy
US $ 3750 PDF by E-mail (Single Site License)
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Description TOC

Abstract

Expert guidance in managing discovery and development of disease-related biomarkers

This report focuses on disease-related biomarkers, those related to disease screening, prognosis, and stratification-more specifically, disease-related molecular biomarkers. Aspects covered include:

  • Historical and contextual information
  • Strategies and technologies currently used for biomarker discovery and development
  • Progress in biomarker discovery and development in several disease areas
  • Current and future roles of consortia in disease-related biomarker discovery and development
  • Market-related considerations, including the role of various sectors, competitive activity, deal activity, and regulatory factors
  • Two separate surveys of individuals in (1) the pharma and biopharma sectors, and (2) biomarker discovery and diagnostic sectors. Both surveys capture attitudes, intentions, and current practices of individuals at the forefront of disease-related biomarker discovery and development.
  • Profiles of 44 companies active in disease-related biomarkers
  • In-depth interviews with 7 disease-related biomarker experts

Biomarker discovery has grown dramatically during the past decade, driven by:

  • The availability of powerful new "omics" technologies
  • The increasing utilization of new and untested targets in pharma
  • The opportunity to replace suboptimal in vitro diagnostic assays with improved biomarkers

Disease-related biomarkers are not a new phenomenon. Early examples include blood glucose for diabetes diagnosis and management and cholesterol for cardiovascular risk. However, introduction of DNA microarrays in the mid-1990s enabled a revolution in transcriptomics and triggered a major paradigm shift in the way life scientists approached research. Subsequently, metabolomics and metabonomics, applied mainly to safety-related biomarkers originally, began to turn to disease-related biomarkers.

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