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

Abstract

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.