New technology can help diagnose breast cancer by detecting urine

Release date: 2015-06-18

Recently, in a research paper published in the international magazine BMC Cancer, researchers from the University of Freiburg have developed a new technology that can help detect breast cancer by analyzing urine samples. The level of molecular microRNAs that regulate cellular metabolism is determined, and the levels of microRNAs are usually dysregulated in cancer cells; by determining the composition of microRNAs in urine, researchers can make the technique a success rate of 91% in the diagnosis of breast cancer.

About 1.7 million women in the world have breast cancer, and breast cancer is one of the most common cancers in women. It causes more than 520,000 deaths each year. However, researchers have generally used mammography or ultrasound. Examination to diagnose cancer of breast tissue, but exposure to radiation from breast tissue usually causes disease recurrence in many patients.

The new technology developed by researchers in this article can examine breast cancer by using urine samples based on changes in the body's metabolism. The researchers measured the concentration of nine microRNAs in the urine, while microRNAs After adjusting the metabolism of the cells, comparing the healthy samples with the disease samples, the researchers found that the levels of the four microRNAs showed significant differences.

Professor Stickeler pointed out that the characteristics of microRNA in the urine of breast cancer patients can be specifically modified, so microRNAs can help us to screen for breast cancer. Of course, the technology developed by researchers with the help of microRNA characteristics is also 91%. Diagnostic accuracy. Researchers have patented the technology, and they encourage more women to use this new technology for early diagnosis of breast cancer. After the diagnosis, the patient's malignant tissue will be surgically removed, unlike In the past, doctors removed the entire breast tissue of patients, and later researchers hoped that more research would be done to optimize and improve this new technology so that it could better serve human health.

Source: Bio Valley

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