An Integrated Microfluidic Platform for Detecting BRCA1/BRCA2 Gene Mutation and Risk Assessment of Ovarian Cancer

Yu Hung Cheng, Chih Hung Wang, Keng Fu Hsu, Gwo Bin Lee

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

Ovarian cancer is known as a 'silent killer' for women because it is difficult to be diagnosed at early stages. The five-year survival rate of early-stage ovarian cancer is 92%, but at the late stages, drops to only 17%. Several tools have been used for ovarian cancer screening; however, the outcome is still not satisfactory. Therefore, there is a great need to develop a new method to screen ovarian cancer precisely. Recently, BRCA1/2 gene mutations were confirmed to be highly associate with the occurrence of ovarian cancer. Patients with these gene mutations are risky of developing it in their lifetime. Liquid biopsy such as cell-free DNA (cfDNA) is an emerging non-invasive technology that brings information about tumors from the blood. Previous studies have found BRCA1/2 gene mutations in cfDNA could serve a potential tool for the screening and risk assessment of ovarian cancer. Therefore, an integrated microfluidic system was developed in this work to extract cfDNA from patients' plasma and BRCA1/2 gene mutations were verified automatically, which can provide clinicians a convenient way for risk assessment.

原文English
主出版物標題21st International Conference on Solid-State Sensors, Actuators and Microsystems, TRANSDUCERS 2021
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1024-1027
頁數4
ISBN(電子)9781665412674
DOIs
出版狀態Published - 2021 6月 20
事件21st International Conference on Solid-State Sensors, Actuators and Microsystems, TRANSDUCERS 2021 - Virtual, Online, United States
持續時間: 2021 6月 202021 6月 25

出版系列

名字21st International Conference on Solid-State Sensors, Actuators and Microsystems, TRANSDUCERS 2021

Conference

Conference21st International Conference on Solid-State Sensors, Actuators and Microsystems, TRANSDUCERS 2021
國家/地區United States
城市Virtual, Online
期間21-06-2021-06-25

All Science Journal Classification (ASJC) codes

  • 電氣與電子工程
  • 機械工業
  • 控制和優化
  • 儀器

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