Radiogenomics: the search for genetic predictors of radiotherapy response.
about
Exploiting biological and physical determinants of radiotherapy toxicity to individualize treatmentData-Based Radiation Oncology: Design of Clinical Trials in the Toxicity Biomarkers Era.Optimal design and patient selection for interventional trials using radiogenomic biomarkers: A REQUITE and Radiogenomics consortium statement.Individual patient data meta-analysis shows a significant association between the ATM rs1801516 SNP and toxicity after radiotherapy in 5456 breast and prostate cancer patients.Single nucleotide polymorphisms and unacceptable late toxicity in breast cancer adjuvant radiotherapy: a case reportA Novel Methodology using CT Imaging Biomarkers to Quantify Radiation Sensitivity in the Esophagus with Application to Clinical Trials.How Will Big Data Improve Clinical and Basic Research in Radiation Therapy?The Prediction of Radiotherapy Toxicity Using Single Nucleotide Polymorphism-Based Models: A Step Toward Prevention.Developing a utility decision framework to evaluate predictive models in breast cancer risk estimation.Impact of single-nucleotide polymorphisms on radiation pneumonitis in cancer patients.Developing a clinical utility framework to evaluate prediction models in radiogenomicsCommon genetic variation associated with increased susceptibility to prostate cancer does not increase risk of radiotherapy toxicity.Computational methods using genome-wide association studies to predict radiotherapy complications and to identify correlative molecular processes.Association of Topoisomerase II (TOP2A) and Dual-Specificity Phosphatase 6 (DUSP6) Single Nucleotide Polymorphisms with Radiation Treatment Response and Prognosis of Lung Cancer in Han Chinese.In vitro prediction of breast cancer therapy toxicity.Imaging Informatics: 25 Years of Progress.ERCC2 polymorphisms and radiation-induced adverse effects on normal tissue: systematic review with meta-analysis and trial sequential analysis.Radiogenomics and radiotherapy response modeling.The changing paradigm of tumour response to irradiation.T lymphocytes to predict radiation-induced late effects in normal tissues.Genetic predisposition to prostate cancer.Volumetric relationship between 2-hydroxyglutarate and FLAIR hyperintensity has potential implications for radiotherapy planning of mutant IDH glioma patients.A new approach for modeling patient overall radiosensitivity and predicting multiple toxicity endpoints for breast cancer patients.Blood-based biomarkers for precision medicine in lung cancer: precision radiation therapy.Background, current role, and potential applications of radiogenomics.Minimizing morbidity in radiation oncology: a special issue from Future Oncology.Radiogenomics: Identification of Genomic Predictors for Radiation Toxicity.Impact of polymorphisms in angiogenesis-related genes on clinical outcomes of radiotherapy in patients with nasopharyngeal carcinoma.
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P2860
Radiogenomics: the search for genetic predictors of radiotherapy response.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
2014年论文
@zh
2014年论文
@zh-cn
name
Radiogenomics: the search for genetic predictors of radiotherapy response.
@en
type
label
Radiogenomics: the search for genetic predictors of radiotherapy response.
@en
prefLabel
Radiogenomics: the search for genetic predictors of radiotherapy response.
@en
P2093
P2860
P50
P356
P1433
P1476
Radiogenomics: the search for genetic predictors of radiotherapy response.
@en
P2093
Barry S Rosenstein
Dirk De Ruysscher
Gillian C Barnett
Matthew Parliament
Neil G Burnet
Sarah L Kerns
P2860
P304
P356
10.2217/FON.14.173
P407
P50
P577
2014-12-01T00:00:00Z