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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.

Medicine --- carbon-ion radiotherapy --- head-and-neck tumors --- squamous cell carcinoma --- radiosensitivity --- relative biological effectiveness --- lung cancer --- radiotherapy --- radiotherapy monitoring --- radiation-induced lung injury --- RILI --- pneumonitis --- radiation-induced lung fibrosis --- RILF --- circulating biomarkers --- microRNA --- micronuclei --- uterine cervical cancer --- cGAS --- STING --- abscopal effect --- immunotherapy --- PBMCS --- micronucleus assay --- biological dosimetry --- human blood --- genotoxicity tests --- ionizing radiation --- biomarkers --- dicentric assay --- gamma H2AX foci assay --- health surveillance analyses --- clonogenic assays --- methods --- plating --- cancer --- radiation --- head and neck cancer --- exosomes --- serum --- metabolomics --- GC/MS --- biodosimetry --- chromosome aberrations --- normal tissue toxicity --- predictive tests --- normal tissue --- biomarker --- protein --- immune infiltrate --- stroma --- tumour microenvironment --- proteomics --- telomeres --- chromosomal instability --- inversions --- prostate cancer --- IMRT --- machine learning --- individual radiosensitivity --- late effects --- personalized medicine --- liquid biopsy --- circulating tumour cells --- extracellular vesicles --- microRNAs --- immune system --- inflammation --- carbon-ion radiotherapy --- head-and-neck tumors --- squamous cell carcinoma --- radiosensitivity --- relative biological effectiveness --- lung cancer --- radiotherapy --- radiotherapy monitoring --- radiation-induced lung injury --- RILI --- pneumonitis --- radiation-induced lung fibrosis --- RILF --- circulating biomarkers --- microRNA --- micronuclei --- uterine cervical cancer --- cGAS --- STING --- abscopal effect --- immunotherapy --- PBMCS --- micronucleus assay --- biological dosimetry --- human blood --- genotoxicity tests --- ionizing radiation --- biomarkers --- dicentric assay --- gamma H2AX foci assay --- health surveillance analyses --- clonogenic assays --- methods --- plating --- cancer --- radiation --- head and neck cancer --- exosomes --- serum --- metabolomics --- GC/MS --- biodosimetry --- chromosome aberrations --- normal tissue toxicity --- predictive tests --- normal tissue --- biomarker --- protein --- immune infiltrate --- stroma --- tumour microenvironment --- proteomics --- telomeres --- chromosomal instability --- inversions --- prostate cancer --- IMRT --- machine learning --- individual radiosensitivity --- late effects --- personalized medicine --- liquid biopsy --- circulating tumour cells --- extracellular vesicles --- microRNAs --- immune system --- inflammation

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Biomarkers are of critical medical importance for oncologists, allowing them to predict and detect disease and to determine the best course of action for cancer patient care. Prognostic markers are used to evaluate a patient’s outcome and cancer recurrence probability after initial interventions such as surgery or drug treatments and, hence, to select follow-up and further treatment strategies. On the other hand, predictive markers are increasingly being used to evaluate the probability of benefit from clinical intervention(s), driving personalized medicine. Evolving technologies and the increasing availability of “multiomics” data are leading to the selection of numerous potential biomarkers, based on DNA, RNA, miRNA, protein, and metabolic alterations within cancer cells or tumor microenvironment, that may be combined with clinical and pathological data to greatly improve the prediction of both cancer progression and therapeutic treatment responses. However, in recent years, few biomarkers have progressed from discovery to become validated tools to be used in clinical practice. This Special Issue comprises eight review articles and five original studies on novel potential prognostic and predictive markers for different cancer types.

Medicine --- MSI2 --- OSCC --- oral cancer --- musashi 2 --- prognosis --- N-cadherin --- EMT --- breast cancer --- new metastasis --- eribulin --- blood --- biomarker --- bladder cancer --- immune checkpoint inhibitor --- CD8+ T effector cells --- microRNA --- biomarkers --- head and neck cancer --- laryngeal cancer --- prediction --- metastasis --- lifestyle habit --- chemo-/radio resistance --- therapeutic target --- AKT --- AR --- castration-resistant prostate cancer (CRPC) --- MAPK --- mTOR --- PI3K --- prostate cancer --- therapeutic resistance --- WNT --- miRNA --- melanoma --- melanoma resistance to MAPK/MEK inhibitors --- resistance to immune checkpoint inhibitors --- TNBC --- BRCA1/2 --- HRR --- PDL1 --- TILs --- PI3KCA --- PTEN --- CTCs --- CSC --- pancreatic cancer --- K-RAS oncogene --- oncogene dependency --- targeted therapies --- genomic mutations --- transcriptomics --- metabolomics --- selenoproteins --- cancer --- HUB nodes --- major histocompatibility complex (MHC) --- human leukocyte antigen (HLA) --- antigen processing machinery (APM) molecules --- carcinogenesis --- tumor predisposition --- cancer immunotherapy --- pheochromocytoma --- paraganglioma --- head and neck neoplasms --- head and neck tumors --- genetic syndromes --- mutations --- hyperglycemia --- cardioncology --- nivolumab --- cytokines --- cardiotoxicity --- acetyltransferase --- cancer prognosis --- NAA10 --- n/a

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

carbon-ion radiotherapy --- head-and-neck tumors --- squamous cell carcinoma --- radiosensitivity --- relative biological effectiveness --- lung cancer --- radiotherapy --- radiotherapy monitoring --- radiation-induced lung injury --- RILI --- pneumonitis --- radiation-induced lung fibrosis --- RILF --- circulating biomarkers --- microRNA --- micronuclei --- uterine cervical cancer --- cGAS --- STING --- abscopal effect --- immunotherapy --- PBMCS --- micronucleus assay --- biological dosimetry --- human blood --- genotoxicity tests --- ionizing radiation --- biomarkers --- dicentric assay --- gamma H2AX foci assay --- health surveillance analyses --- clonogenic assays --- methods --- plating --- cancer --- radiation --- head and neck cancer --- exosomes --- serum --- metabolomics --- GC/MS --- biodosimetry --- chromosome aberrations --- normal tissue toxicity --- predictive tests --- normal tissue --- biomarker --- protein --- immune infiltrate --- stroma --- tumour microenvironment --- proteomics --- telomeres --- chromosomal instability --- inversions --- prostate cancer --- IMRT --- machine learning --- individual radiosensitivity --- late effects --- personalized medicine --- liquid biopsy --- circulating tumour cells --- extracellular vesicles --- microRNAs --- immune system --- inflammation --- n/a