Chrome Extension
WeChat Mini Program
Use on ChatGLM

Urinary Metabolite Diagnostic and Prognostic Liquid Biopsy Biomarkers of Lung Cancer in Non-smokers and Tobacco Smokers.

Clinical cancer research : an official journal of the American Association for Cancer Research(2024)

Cited 0|Views10
No score
Abstract
PURPOSE:Non-smokers account for 10-13% of all lung cancer cases in the United States. Etiology is attributed to multiple risk factors including exposure to secondhand smoking, asbestos, environmental pollution, and radon, but these exposures are not within the current eligibility criteria for early lung cancer screening by low-dose computed tomography (LDCT). EXPERIMENTAL DESIGN:Urine samples were collected from two independent cohorts comprising 846 participants (exploratory cohort) and 505 participants (validation cohort). The cancer urinary biomarkers, creatine riboside (CR) and N-acetylneuraminic acid (NANA) were analyzed and quantified using liquid chromatography-mass spectrometry to determine if non-smoker cases can be distinguished from sex and age-matched controls in comparison to tobacco smoker cases and controls, potentially leading to more precise eligibility criteria for LDCT screening. RESULTS:Urinary levels of CR and NANA were significantly higher and comparable in non-smokers and tobacco smoker cases as compared to population controls in both cohorts. Receiver Operating Characteristics (ROC) analysis for combined CR and NANA levels in non-smokers of the exploratory cohort resulted in better predictive performance with the area under the curve (AUC) of 0.94, whereas the validation cohort non-smokers had an AUC of 0.80. Kaplan-Meier survival curves showed that high levels of CR and NANA were associated with increased cancer-specific death in non-smokers as well as tobacco smoker cases in both cohorts. CONCLUSIONS:Measuring CR and NANA in urine liquid biopsies could identify non-smokers at high risk for lung cancer as candidates for LDCT screening and warrant prospective studies of these biomarkers.
More
Translated text
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined