As early diagnosis of cancer is vital in treatment, the test developed can prove to be a key factor in survival rate of patients suffering from cancer.
The test consisting of a simple blood test is thought to be able to detect cancer even before any symptoms are noticeable which could potentially save thousands of lives.
Unveiled at the British Science Festival in Swansea, the scientists compared the new test to a smoke detector. The reason for this is because it does not find cancer itself but changes into red blood cells that occur when cancer is present in the body.
The process of discovering cancer at a very early stage is makes the test a key factor in successful treatment through the use of commercialised treatment. For example if a tumour is caught in a single part of the body there is a greater possibility of being able to remove it and treat the area. However, if cancer is detected all around the body and has spread to other organs it is much harder to treat.
The £35 simple blood test can be used to help monitor people with a high risk of getting the disease.
Although the test can take a few hours to the potential of the test I huge. Researchers form Swansea University Medical School worked on developing the test over a four year period which involved studying 300 healthy people.
The test works by detecting, on the surface of red blood cells, mutations in protein. It is thought that cancer patients have a mutation between 50 to 100 per million. However, healthy people’s mutations are about 5 per million. The mutations are thought to be collateral damage caused by the disease and do not cause the development of cancer themselves but are effects of it.
Breakthroughs such as these help to develop the medicine of today. However, tests like this cannot be developed without clinical trials and research. This indicates that for the advancement in medication and treatment, the role of data is significantly huge. Without data there would be no way of knowing how to implement medicine and the effects of it. DCC have worked with many different organisation in helping to find breakthrough and treatment through different methods.
Manual data entry can also slow down trials as well making them less accurate. Automation of data allows for faster more accurate and reliable data. Which means better medicine for a better future.