Single test-based diagnosis of multiple cancer types using Exosome-SERS-AI for early stage cancers.

ABSTRACT: Early cancer detection has significant clinical value, but there remains no single method that can comprehensively identify multiple types of early-stage cancer. Here, we report the diagnostic accuracy of simultaneous detection of 6 types of early-stage cancers (lung, breast, colon, liver, pancreas, and stomach) by analyzing surface-enhanced Raman spectroscopy profiles of exosomes using artificial intelligence in a retrospective study design. It includes classification models that recognize signal patterns of plasma exosomes to identify both their presence and tissues of origin. Using 520 test samples, our system identified cancer presence with an area under the curve value of 0.970. Moreover, the system classified the tumor organ type of 278 early-stage cancer patients with a mean area un

SUBMITTER: Shin H 

PROVIDER: S-EPMC10039041 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature