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...
Saved in:
Other Authors: | , |
---|---|
Format: | Electronic Book Chapter |
Language: | English |
Published: |
Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2021
|
Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
LEADER | 00000naaaa2200000uu 4500 | ||
---|---|---|---|
001 | doab_20_500_12854_76632 | ||
005 | 20220111 | ||
003 | oapen | ||
006 | m o d | ||
007 | cr|mn|---annan | ||
008 | 20220111s2021 xx |||||o ||| 0|eng d | ||
020 | |a books978-3-0365-1683-7 | ||
020 | |a 9783036516844 | ||
020 | |a 9783036516837 | ||
040 | |a oapen |c oapen | ||
024 | 7 | |a 10.3390/books978-3-0365-1683-7 |c doi | |
041 | 0 | |a eng | |
042 | |a dc | ||
072 | 7 | |a M |2 bicssc | |
100 | 1 | |a Badie, Christophe |4 edt | |
700 | 1 | |a Rutten, Eric Andreas |4 edt | |
700 | 1 | |a Badie, Christophe |4 oth | |
700 | 1 | |a Rutten, Eric Andreas |4 oth | |
245 | 1 | 0 | |a Radiation Response Biomarkers for Individualised Cancer Treatments |
260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2021 | ||
300 | |a 1 electronic resource (231 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
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. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
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 | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/4079 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/76632 |7 0 |z DOAB: description of the publication |