Ontology highlight
ABSTRACT: Background
High incidence and mortality rates underscore lung cancer as a significant global health issue. Understanding the molecular mechanisms driving its progression is crucial for developing effective treatments. This study explores a potential molecular regulator that may contribute to the progression of non-small cell lung cancer (NSCLC) by utilizing bioinformatics analyses and laboratory experiments, aiming to provide insights that could inform future therapeutic strategies.Methods
Our research combined single-cell RNA sequencing (scRNA-seq) data analysis with the Mendelian randomization (MR) algorithm. MR analysis using genetic variants associated with NSCLC risk aimed to uncover causal relationships between genes and cancer traits. To validate the impact of neuroe
SUBMITTER: Shangguan X
PROVIDER: S-EPMC11651745 | biostudies-literature | 2024 Nov
REPOSITORIES: biostudies-literature