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Molecular Radio-Oncology

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Attention for Chapter 5: Personalized Radiation Oncology: Epidermal Growth Factor Receptor and Other Receptor Tyrosine Kinase Inhibitors
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Chapter title
Personalized Radiation Oncology: Epidermal Growth Factor Receptor and Other Receptor Tyrosine Kinase Inhibitors
Chapter number 5
Book title
Molecular Radio-Oncology
Published in
Recent results in cancer research Fortschritte der Krebsforschung Progrès dans les recherches sur le cancer, January 2016
DOI 10.1007/978-3-662-49651-0_5
Pubmed ID
Book ISBNs
978-3-66-249649-7, 978-3-66-249651-0
Authors

Geoff S Higgins, Mechthild Krause, W Gillies McKenna, Michael Baumann, Higgins, Geoff S, Krause, Mechthild, McKenna, W Gillies, Baumann, Michael

Abstract

Molecular biomarkers are currently evaluated in preclinical and clinical studies in order to establish predictors for treatment decisions in radiation oncology. The receptor tyrosine kinases (RTK) are described in the following text. Among them, the most data are available for the epidermal growth factor receptor (EGFR) that plays a major role for prognosis of patients after radiotherapy, but seems also to be involved in mechanisms of radioresistance, specifically in repopulation of tumour cells between radiotherapy fractions. Monoclonal antibodies against the EGFR improve locoregional tumour control and survival when applied during radiotherapy, however, the effects are heterogeneous and biomarkers for patient selection are warranted. Also other RTK´s such as c-Met and IGF-1R seem to play important roles in tumour radioresistance. Beside the potential to select patients for molecular targeting approaches combined with radiotherapy, studies are also needed to evluate radiotherapy adaptation approaches for selected patients, i.e. adaptation of radiation dose, or, more sophisticated, of target volumes.

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Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 21%
Student > Bachelor 4 21%
Student > Postgraduate 2 11%
Professor 2 11%
Professor > Associate Professor 2 11%
Other 2 11%
Unknown 3 16%
Readers by discipline Count As %
Medicine and Dentistry 10 53%
Chemical Engineering 2 11%
Agricultural and Biological Sciences 1 5%
Unspecified 1 5%
Unknown 5 26%