Radiogenomics: predicting radiation sensitivity from genes
Using a tumour's gene expression or a patient's inherited variants to predict who needs more dose, who needs less, and who is at risk of severe side effects.
Overview
Two strands share the name. Tumour radiogenomics builds signatures such as the radiosensitivity index and the genomic-adjusted radiation dose that estimate how sensitive a tumour is and propose a personalised dose; prospective trials are beginning to test dose adjustment on these scores. Patient radiogenomics looks for inherited variants that predict normal-tissue toxicity, through consortia such as REQUITE and the Radiogenomics Consortium; effect sizes have been modest so far. Both aim to replace one-dose-fits-all prescriptions with dose tailored to biology.
How it works
Gene expression or germline variants correlate with tumour or normal-tissue radiosensitivity and can guide dose prescription.
- Path to personalised dose
- Uses existing sequencing
- Large consortia data
- Prospective validation still limited
- Small effect sizes for toxicity variants
- Signatures differ across cancers
Latest papers
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