Ontology highlight
ABSTRACT: Background
There is a need for biomarkers that improve accuracy compared with current demographic risk indices to detect individuals at the highest lung cancer risk. Improved risk determination will enable more effective lung cancer screening and better stratification of lung nodules into high or low-risk category. We previously reported discovery of a biomarker for lung cancer risk characterized by increased prevalence of TP53 somatic mutations in airway epithelial cells (AEC). Here we present results from a validation study in an independent retrospective case-control cohort.Methods
Targeted next generation sequencing was used to identify mutations within three TP53 exons spanning 193 base pairs in AEC genomic DNA.Results
TP53 mutation prevalence was associated wi
SUBMITTER: Craig DJ
PROVIDER: S-EPMC10464352 | biostudies-literature | 2023 Aug
REPOSITORIES: biostudies-literature