Cellular Identification of Single‐Base Mutations in KRAS Gene Fragments Based on Nonhomologous Spectroscopic Data Fusion Modeling

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The sensitivity of KRAS gene mutation detection in colorectal cancer (CRC) can affect prognosis. This study established a nonhomologous spectroscopic data fusion method based on nuclear magnetic resonance (NMR) and laser tweezers Raman spectroscopy (LTRS), in order to analyze the metabolic characteristics of wild-type cells DKS-8 and HEK-3, and their respective mutant cells DLD-1 and HCT-116. Through multivariate statistical analysis, it was found that there were significant differences between mutant and wild-type cells. Four metabolites including taurine, glucose, phosphorylcholine, and tyrosine were screened as characteristic metabolites. Single-base KRAS mutations commonly alter metabolic pathways like d-glutamine and d-glutamate metabolisms, alanine, aspartate, and glutamate metabolism, and arginine biosynthesis. It is concluded that the combination of nonhomologous spectral data fusion would enhance reliability of the single source-derived characteristic markers. The proposed strategy will benefit congeneric researches in the biomedical field.

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