MBP Scientists Develop Tool to Help Predict Radiation Therapy Response
MBP scientists Dr. Benjamin Haibe-Kains and Dr. Scott Bratman have co-led a team of researchers in the development of a new tool that could potentially assist doctors in determining how a cancer patient may respond to radiation therapy before the therapy begins.
This tool, called ‘RadioGx’, is a ‘richly annotated, open-source computational tool that combines genomic profiles of tumours with their response to radiation therapy’. It will ‘allow scientists to mine large amounts of data in search of genetic biomarkers that indicate how patients respond to treatment, which could help personalize therapies for cancer patients in the near future’.
Details about this exciting new resource were recently published in a Cancer Research article entitled 'Modeling cellular response in large-scale radiogenomic databases to advance precision radiotherapy.'