4.8 Article

Surface enhanced Raman spectroscopy for tumor nucleic acid: Towards cancer diagnosis and precision medicine

期刊

BIOSENSORS & BIOELECTRONICS
卷 204, 期 -, 页码 -

出版社

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2022.114075

关键词

Surface enhanced Raman spectroscopy (SERS); Nucleic acid; Cancer; Biosensor; Clinical translation

资金

  1. CANCER project [NORTE-010145-FEDER-000029, NORTE-45-2015-02]
  2. European Regional Development Fund (ERDF)
  3. Jiangsu Innovation and Entrepreneurship Programme [JSSCBS20210126]
  4. FCT [030782]
  5. ERDF
  6. Research4COVID19 program from FCT
  7. Nanjing Science and Technology Innovation Project for Returned Overseas Chinese Scholars [1106000308]
  8. Raman4Clinics H2020 COST Action
  9. Fundamental Research Funds for the Central University [3206002108A1]

向作者/读者索取更多资源

Cancer is the second leading cause of death worldwide, making early diagnosis and personalized treatment crucial. Surface enhanced Raman spectroscopy (SERS) has emerged as an effective biosensing technique in cancer theranostics, allowing ultra-sensitive and multiplex detection of tumor nucleic acids. It has great potential for clinical cancer detection and subtyping.
Cancer is the second leading cause of death worldwide. Early diagnosis and personalization of treatment have become effective routes to control the increasing mortality rate. Since cancer is a genetic disease, there is a great demand for novel techniques to detect tumor nucleic acids (NAs) with increased sensitivity. In recent years, surface enhanced Raman spectroscopy (SERS) emerged as a popular technique for biosensing in cancer theranostics. Combined with molecular probes, SERS allows ultrasensitive and multiplex detection of tumor-derived NAs, with great potential for clinical cancer detection and subtyping. In this review, we summarize and compare the various strategies for designing SERS-based NA sensors, focusing on the mechanism of sensing, followed by their representative applications to cancer theranostics in recent 5 years, as well as future challenges for clinical translation. The review is aimed to provide basic guidelines for engineering SERS-based NA sensors, according to the specific clinical cancer application.

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