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Stimulus-responsive surface-enhanced Raman scattering: a "Trojan horse" strategy for precision molecular diagnosis of cancer.


ABSTRACT: Molecular diagnosis has played an increasingly important role in cancer detection. However, it remains challenging to develop an in situ analytical method capable of profiling the molecular phenotype of tumors for precision cancer diagnosis. A "Trojan horse" strategy based on stimulus-responsive surface-enhanced Raman scattering (SR-SERS) is reported here for selectively recording the comprehensive molecular information of tumors in situ, without resorting to destructive sample preparation and complex data analysis. This technique is employed to delineate the margin between tumors and normal tissues with high accuracy, and to further discriminate the molecular fingerprints of tumors in the early and late stages. Based on molecular profiling, we discovered that the signal ratios of fatty acid-to-phenylalanine could serve as promising indicators for identifying the primary tumors in different stages. This simple SR-SERS technique also provides a potential useful means for identifying tumor classifications or distinguishing primary and metastatic tumors.

SUBMITTER: Zhang C 

PROVIDER: S-EPMC8159367 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Stimulus-responsive surface-enhanced Raman scattering: a "Trojan horse" strategy for precision molecular diagnosis of cancer.

Zhang Cai C   Cui Xiaoyu X   Yang Jie J   Shao Xueguang X   Zhang Yuying Y   Liu Dingbin D  

Chemical science 20200519 24


Molecular diagnosis has played an increasingly important role in cancer detection. However, it remains challenging to develop an <i>in situ</i> analytical method capable of profiling the molecular phenotype of tumors for precision cancer diagnosis. A "Trojan horse" strategy based on stimulus-responsive surface-enhanced Raman scattering (SR-SERS) is reported here for selectively recording the comprehensive molecular information of tumors <i>in situ</i>, without resorting to destructive sample pre  ...[more]

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