Medical breakthrough: Find a method to diagnose cancer before getting sick
With a simple, pain-free, inexpensive test, scientists can detect cancer from before we actually get sick.
With a simple, pain-free, inexpensive test, scientists can detect cancer from before we actually get sick.
Cancer is becoming a disease that causes horrific images for Vietnam and the world with a rapidly increasing incidence of disease and very difficult to cure.
Detecting a slow cancer is the real reason to kill us
We all know cancer can be cured if detected early and treated promptly. But most types of cancer have no specific symptoms. Until the disease has reached the end of the stage, the tumor has metastasized, we can find the doctor. At this time, "medicine has to give up ".
Experts from Swansea University of Medicine (UK) have found a breakthrough solution, opening a new direction for the prevention and fighting of this dangerous disease. It is a blood test .
With a simple blood test, we can know the cancer before it happens
Experts conducted over 300 healthy candidates, symptomatic patients, and patients with esophageal cancer. From the results of the analysis of the mutations of the proteins in red blood cells of the candidates, they found that healthy people with a mutation rate of only 5 parts per million, while cancer patients are 50-100 /million. This mutation is not the cause of cancer, but based on that, experts will detect the presence of cancer cells instead of finding specific cancer cells.
"This idea is like a fire alarm, because it doesn't recognize the presence of a fire, but based on the amount of smoke it produces. This method too, instead of cancer cells, it directs. to mutant cells , " said Professor Gareth Jenkins, research director.
According to Professor Jenkins, this amazing method is likely to "be effective" with all types of cancer today. And if so, it is a breakthrough solution that can save thousands of people every year from the "death scythe" of the disease.
This new method is currently being researched by experts on a larger scale to confirm this result, and find a way to apply it in practice.
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