eLife: New non-invasive detection technology is expected to achieve detection of urothelial carcinoma
Release date: 2018-04-08
Recently, a research report published in the international magazine eLife entitled "Non-invasive detection of urothelial cancer through the analysis of driver gene mutations and aneuploidy", researchers from the Howard Hughes Medical Research Institute of the United States passed the study. A new type of detection method, UroSEEK, has been developed. UroSEEK technology can detect urothelial carcinoma using DNA from cells in the urine.
Image source: medicalxpress.com
According to Simeon U. Springer, a researcher at the Ludwig Cancer Genetics and Therapy Center, we have developed this detection technology to detect urothelial neoplasms, including large-scale mutations in 11 genes. Parallel sequencing analysis and analysis of copy number changes on 39 chromosome arms; UroSEEK technology has been tested in 570 patients with bladder cancer risk and 56 patients with upper urothelial tumors.
The researchers found that UroSEEK technology can produce positive results in 83% of patients with bladder cancer. When combined with cytology, the technology can detect up to 95% of patients with bladder cancer; in addition, the technology can still be 75% Patients with upper urothelial tumors were tested, including 79% of non-invasive tumors. In the urine of bladder cancer patients who showed evidence of clinical recurrence, UroSEEK technology detected genetic abnormalities in 68% of urine, while in low-grade bladder cancer, this technique was able to treat 67% of cases. Testing is performed, but not by cytology.
The researchers said that the results of this study confirm that UroSEEK technology may be a non-invasive method for the detection of urothelial cancer, and later researchers need to conduct more in-depth studies to confirm its effectiveness.
Original source: Simeon U Springer, Chung-Hsin Chen, Maria Del Carmen Rodriguez Pena, et al. Non-invasive detection of urothelial cancer through the analysis of driver gene mutations and aneuploidy. eLife (2018) DOI: 10.7554/eLife.32143
Source: Bio Valley
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