DNA analysis of hundreds of tumours sub-classifies different types of prostate cancer, meaning better tailored treatments
What turns normal cells in the prostate (stained green) into cancer cells (red and white)? Why are some prostate cancers slow growing and don’t need immediate treatment, while others quickly become life-threatening? And which therapy will work best for a particular patient? To answer these questions, researchers are trawling through DNA from hundreds of tumour samples, using high-powered computer programmes to sift all this genetic information in search of clues. After crunching all the data, they discovered that prostate cancers can be classified into a number of different groups based on their genetic makeup and patterns of gene activity, enabling them to predict which tumours are more likely to grow fast and need urgent treatment and which will take a more leisurely path. The programme can also identify treatments that are more likely to work for each individual patient, leading to more personalised therapy that could make a difference to survival.
Today is World Cancer Day 2019
Written by Kat Arney
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