Integrative analysis of plasma metabolomics and proteomics reveals the metabolic landscape of breast cancer.

ABSTRACT:

Background

Breast cancer (BC) is the most commonly diagnosed cancer. Currently, mammography and breast ultrasonography are the main clinical screening methods for BC. Our study aimed to reveal the specific metabolic profiles of BC patients and explore the specific metabolic signatures in human plasma for BC diagnosis.

Methods

This study enrolled 216 participants, including BC patients, benign patients, and healthy controls (HC) and formed two cohorts, one training cohort and one testing cohort. Plasma samples were collected from each participant and subjected to perform nontargeted metabolomics and proteomics. The metabolic signatures for BC diagnosis were identified through machine learning.

Results

Metabolomics analysis revealed that BC patients showed a significant

SUBMITTER: An R 

PROVIDER: S-EPMC9382832 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature