Unknown

Dataset Information

Metabolomic profiling identifies biomarkers and metabolic impacts of surgery for colorectal cancer


ABSTRACT:

Background

Colorectal cancer (CRC) is one of the most common malignant tumors with recurrence and metastasis after surgical resection. This study aimed to identify the physiological changes after surgery and explore metabolites and metabolic pathways with potential prognostic value for CRC.

Methods

An ultra-high-performance liquid chromatography Q-exactive mass spectrometry was used to profile serum metabolites from 67 CRC patients and 50 healthy volunteers. Principal component analysis (PCA) and orthogonal projections to latent structures-discriminant analysis were used to distinguish the internal characteristics of data in different groups. Multivariate statistics were compiled to screen the significant metabolites and metabolic pathways.

Result

A total of 180

SUBMITTER: Zhuang F 

PROVIDER: S-EPMC9453208 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature

Similar Datasets