Radiation Response Biomarkers for Individualised Cancer Treatments

Personalised medicine is the next step in healthcare, especially when applied to genetically diverse diseases such as cancers. Naturally, a host of methods need to evolve alongside this, in order to allow the practice and implementation of individual treatment regimens. One of the major tasks for th...

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Bibliographic Details
Other Authors: Badie, Christophe (Editor), Rutten, Eric Andreas (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
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520 |a Personalised medicine is the next step in healthcare, especially when applied to genetically diverse diseases such as cancers. Naturally, a host of methods need to evolve alongside this, in order to allow the practice and implementation of individual treatment regimens. One of the major tasks for the development of personalised treatment of cancer is the identification and validation of a comprehensive, robust, and reliable panel of biomarkers that guide the clinicians to provide the best treatment to patients. This is indeed important with regards to radiotherapy; not only do biomarkers allow for the assessment of treatability, tumour response, and the radiosensitivity of healthy tissue of the treated patient. Furthermore, biomarkers should allow for the evaluation of the risks of developing adverse late effects as a result of radiotherapy such as second cancers and non-cancer effects, for example cardiovascular injury and cataract formation. Knowledge of all of these factors would allow for the development of a tailored radiation therapy regime. This Special Issue of the Journal of Personalised Medicine covers the topic of Radiation Response Biomarkers in the context of individualised cancer treatments, and offers an insight into some of the further evolution of radiation response biomarkers, their usefulness in guiding clinicians, and their application in radiation therapy. 
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650 7 |a Medicine  |2 bicssc 
653 |a carbon-ion radiotherapy 
653 |a head-and-neck tumors 
653 |a squamous cell carcinoma 
653 |a radiosensitivity 
653 |a relative biological effectiveness 
653 |a lung cancer 
653 |a radiotherapy 
653 |a radiotherapy monitoring 
653 |a radiation-induced lung injury 
653 |a RILI 
653 |a pneumonitis 
653 |a radiation-induced lung fibrosis 
653 |a RILF 
653 |a circulating biomarkers 
653 |a microRNA 
653 |a micronuclei 
653 |a uterine cervical cancer 
653 |a cGAS 
653 |a STING 
653 |a abscopal effect 
653 |a immunotherapy 
653 |a PBMCS 
653 |a micronucleus assay 
653 |a biological dosimetry 
653 |a human blood 
653 |a genotoxicity tests 
653 |a ionizing radiation 
653 |a biomarkers 
653 |a dicentric assay 
653 |a gamma H2AX foci assay 
653 |a health surveillance analyses 
653 |a clonogenic assays 
653 |a methods 
653 |a plating 
653 |a cancer 
653 |a radiation 
653 |a head and neck cancer 
653 |a exosomes 
653 |a serum 
653 |a metabolomics 
653 |a GC/MS 
653 |a biodosimetry 
653 |a chromosome aberrations 
653 |a normal tissue toxicity 
653 |a predictive tests 
653 |a normal tissue 
653 |a biomarker 
653 |a protein 
653 |a immune infiltrate 
653 |a stroma 
653 |a tumour microenvironment 
653 |a proteomics 
653 |a telomeres 
653 |a chromosomal instability 
653 |a inversions 
653 |a prostate cancer 
653 |a IMRT 
653 |a machine learning 
653 |a individual radiosensitivity 
653 |a late effects 
653 |a personalized medicine 
653 |a liquid biopsy 
653 |a circulating tumour cells 
653 |a extracellular vesicles 
653 |a microRNAs 
653 |a immune system 
653 |a inflammation 
653 |a n/a 
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