Cancer stratification by molecular imaging

• Verfasst von: Weber, Justus [VerfasserIn]
• Verfasst von: Haberkorn, Uwe [VerfasserIn]
• Verfasst von: Mier, Walter [VerfasserIn]
• Titel: Cancer stratification by molecular imaging
• Verf.angabe: Justus Weber, Uwe Haberkorn and Walter Mier
• Umfang: 29 S.
• Fussnoten: Gesehen am 28.09.2017
• Titel Quelle: Enthalten in: International journal of molecular sciences
• Jahr Quelle: 2015
• Band/Heft Quelle: 16(2015), 3, S. 4918-4946
• ISSN Quelle: 1422-0067
• ISSN Quelle: 1661-6596
• DOI: doi:10.3390/ijms16034918
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1563916975

Abstract

The lack of specificity of traditional cytotoxic drugs has triggered the development of anticancer agents that selectively address specific molecular targets. An intrinsic property of these specialized drugs is their limited applicability for specific patient subgroups. Consequently, the generation of information about tumor characteristics is the key to exploit the potential of these drugs. Currently, cancer stratification relies on three approaches: Gene expression analysis and cancer proteomics, immunohistochemistry and molecular imaging. In order to enable the precise localization of functionally expressed targets, molecular imaging combines highly selective biomarkers and intense signal sources. Thus, cancer stratification and localization are performed simultaneously. Many cancer types are characterized by altered receptor expression, such as somatostatin receptors, folate receptors or Her2 (human epidermal growth factor receptor 2). Similar correlations are also knownfor a multitude of transporters, such as glucose transporters, amino acid transporters or hNIS (human sodium iodide symporter), as well as cell specific proteins, such as the prostate specific membrane antigen, integrins, and CD20. This review provides a comprehensive description of the methods, targets and agents used in molecular imaging, to outline their application for cancer stratification. Emphasis is placed on radiotracers which are used to identify altered expression patterns of cancer associated markers.