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Dataset Information

UPLC-Q-TOF-MS-based unbiased serum metabolomics investigation of cholangiocarcinoma.


ABSTRACT:

Objective

Cholangiocarcinoma (CCA) is a highly aggressive malignancy, and early diagnosis remains challenging. Metabolic biomarkers are increasingly recognized as promising tools for the early detection of cancer. However, a comprehensive exploration of metabolic alterations in CCA, especially from a global metabolic perspective, has yet to be fully realized. To identify reliable metabolic markers for the early diagnosis of CCA and to explore its potential pathogenesis through an in-depth analysis of global metabolism.

Methods

Serum samples from 30 CCA patients and 31 healthy individuals were analyzed using an unbiased UPLC-Q-TOF-MS based metabolomics approach. Principal component analysis (PCA) and orthogonal projections to latent structures discriminant analysis (OPLS-DA)

SUBMITTER: Wang X 

PROVIDER: S-EPMC12009706 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature