Literature DB >> 22325103

[Possibilities and limitations of stratified medicine based on biomarkers and targeted therapies in oncology].

Wolf-Dieter Ludwig1.   

Abstract

Research over the past two decades has untangled the molecular heterogeneity of cancer at the cellular level. The molecular techniques that have been developed in the past 5 to 10 years are dramatically improving our understanding of the genomic aberrations that underlie the malignant transformation of normal cells. At the same time, however, advances in our understanding of the genetic basis of solid tumours and hematologic malignancies have revealed how complex cancer is, and consequently how much more challenging it is in many of the more common cancers to identify the right drug for the right patient in the adequate dose at the right time. Given the slow pace of translation from genome science to individualised medicine in oncology, this expert review, mainly taking into account recently published perspective articles and reviews, describes the molecular heterogeneity of cancer, the difficulties in developing novel molecularly targeted agents, and the need for developing biomarkers to optimise drug development and clinical use. Distinct types of biomarkers, breakthroughs as well as disappointments in the clinical implementation of biomarkers and targeted therapeutics into clinical practice are discussed by focusing on four targeted anti-cancer drugs. Finally, as clinical biomarker tests that predict response to particular therapies will play an important role in achieving stratified medicine in the near future, this article will conclude by giving some recommendations for effective biomarker evaluation and clinical trial designs for predictive biomarker validation.
Copyright © 2011. Published by Elsevier GmbH.

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Year:  2012        PMID: 22325103     DOI: 10.1016/j.zefq.2011.12.001

Source DB:  PubMed          Journal:  Z Evid Fortbild Qual Gesundhwes        ISSN: 1865-9217


  1 in total

1.  How Do Patients Experience Individualized Medicine? A Qualitative Interview-based Study of Gene Expression Analyses in the Treatment of Breast Cancer.

Authors:  Sebastian Schleidgen; Sandra Thiersch; Rachel Wuerstlein; Georg Marckmann
Journal:  Geburtshilfe Frauenheilkd       Date:  2017-09-25       Impact factor: 2.915

  1 in total

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