High-resolution metabolomic biomarkers for lung cancer diagnosis and prognosis.

ABSTRACT: Lung cancer is the leading cause of human cancer mortality due to the lack of early diagnosis technology. The low-dose computed tomography scan (LDCT) is one of the main techniques to screen cancers. However, LDCT still has a risk of radiation exposure and it is not suitable for the general public. In this study, plasma metabolic profiles of lung cancer were performed using a comprehensive metabolomic method with different liquid chromatography methods coupled with a Q-Exactive high-resolution mass spectrometer. Metabolites with different polarities (amino acids, fatty acids, and acylcarnitines) can be detected and identified as differential metabolites of lung cancer in small volumes of plasma. Logistic regression models were further developed to identify cancer stages and types using tho

SUBMITTER: Qi SA 

PROVIDER: S-EPMC8175557 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature