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A team of researchers has discovered a method to more accurately predict the spread of breast cancer. The team includes scientists from the Korea Advanced Institute of Science and Technology (KAIST) led by bio-information systems professor Lee Do-heon and from the University of California, San Diego led by Prof. Trey Ideker.
The new method examines the composition of breast cancer-related genes to predict how the disease might spread. The spread of breast cancer in the body is more closely linked to a combination of genes than to individual genes, the team found. The new method boosts the accuracy of such predictions to 72 percent, the scientists said.
Breast cancer is usually treatable and has a survival rate of 83 percent five years after diagnosis, but when it spreads to other parts of the body or recurs the survival rate drops to 50 percent. That means it's very important to predict the possibility of it spreading during initial treatment. An article on the discovery was published in the Internet edition of international journal Molecular Systems Biology.
(englishnews@chosun.com )
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