Translational biomarkers: From preclinical to clinical a report of 2009 AAPS/ACCP biomarker workshop

Jane P.F. Bai, Robert Bell, Shaavhree Buckman, Gilbert J. Burckart, Hans Georg Eichler, Kenneth C. Fang, Federico M. Goodsaid, William J. Jusko, Lawrence L. Lesko, Bernd Meibohm, Scott D. Patterson, Oscar Puig, Jeffrey B. Smerage, Barbara J. Snider, John A. Wagner, Jingsong Wang, Marc K. Walton, Russell Weiner

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

There have been some successes in qualifying biomarkers and applying them to drug development and clinical treatment of various diseases. A recent success is illustrated by a collaborative effort among the US Food and Drug Administration, the European Medicines Agency, and the pharmaceutical industry to provide a set of seven preclinical kidney toxicity biomarkers for drug development. Other successes include, but are not limited to, clinical biomarkers for cancer treatment and clinical management of heart transplant patients. The value of fully qualified surrogate endpoints in facilitating successful drug development is undisputed, especially for diseases in which the traditional clinical outcome can only be assessed in large, multi-year trials. Emerging biomarkers, including chemical genomic or imaging biomarkers, and measurement of circulating tumor cells hold great promise for early diagnosis of disease and as prognostic tests for managing treatment of chronic diseases such as osteoarthritis, Alzheimer disease, cardiovascular disease, and cancer. To advance the success of treating and managing these diseases, efforts are needed to establish the temporal relationship between changes in inflammatory or imaging biomarkers with the progression of the chronic disease, and in the case of cancer, between the extent of circulating cancer cells and tumor progression or remission.

Original languageEnglish
Pages (from-to)274-283
Number of pages10
JournalAAPS Journal
Volume13
Issue number2
DOIs
StatePublished - Jun 2011

Keywords

  • biomarkers
  • diagnostic
  • diseases
  • gene expression
  • imaging

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