Firstly, a wide-targeted metabolomic measurement will be conducted on all samples to identify potential metabolite candidate markers and analyze differences in the metabolic profiles of patients with different types of cancer. Additionally, a comprehensive metabolite database specific to cancer patients will be constructed.
Secondly, Samples will be randomly allocated into modeling and testing cohorts. The modeling cohort will be further divided into training and validation sets. Bioinformatics methods will be used to conduct an in-depth analysis of a wide range of metabolite information to screen out metabolic marker combinations with high diagnostic efficacy for cancer.
Ultimately, the testing cohort will be used to validate these metabolic biomarkers, aiming to ensure reliability and stability across different patient populations.
