4.8 Article

Nanomaterial-based biosensor developing as a route toward in vitro diagnosis of early ovarian cancer

期刊

MATERIALS TODAY BIO
卷 13, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.mtbio.2022.100218

关键词

Ovarian cancer; Early diagnosis; Biomarker; Immunosensor; In vitro diagnosis; Nanomaterials

资金

  1. National Natural Science Foundation, China [21974134, 81974508]
  2. Hunan Science Fund for Distin-guished Young Scholar [2021JJ10067]
  3. Innovation-Driven Project of Central South University [202045005]
  4. Hunan Provincial Natural Science Foundation of China [2021JJ31066]
  5. Changsha Science and Technology Project [kq2001048]
  6. Key Research Project of Ningxia Hui Autonomous Region in 2021 (Major Project) [2021BEG01001]

向作者/读者索取更多资源

The challenges in early diagnosis of ovarian cancer have led to a high mortality rate. The progress in nanomaterials and discovery of new biomarkers offer improvements in convenience, speed, selectivity, and sensitivity for early ovarian cancer diagnosis. This review summarizes the limitations of commercial ovarian cancer biosensors, discusses optimization strategies for potential biomarkers, and introduces emerging biosensors based on nanomaterials.
The grand challenges of ovarian cancer early diagnosis have led to an alarmingly high mortality rate from ovarian cancer (OC) in the past half century. In vitro diagnosis (IVD) has great potential in the early diagnosis of OC through non-invasive and dynamic analysis of biomarkers. However, common IVDs often fail to provide reliable test results due to lack of sensitivity, specificity, and convenience. In recent years, the discovery of new biomarkers and the progress of nanomaterials can solve the shortcomings of traditional IVD for early OC. These emerging biosensors based on nanomaterials offer great improvements in convenience, speed, selectivity, and sensitivity of IVD. In this review, we firstly systematically summarized the limits of commercial IVD biosensors of OC and the latest discovery of new biomarkers for OC. The representative optimization strategies for six potential ovarian cancer biomarkers are systematically discussed with emphasis on nanomaterial selection and the design of detection principles. Then, various strategies adopted by emerging biosensors based on nanomaterials are also introduced in detail, including optical, electrochemical, microfluidic, and surface plasmon sensors. Finally, current challenges of early OC IVD are proposed, and future research directions on this promising field are also discussed.

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