Unknown

Dataset Information

Using proteomics and metabolomics to identify therapeutic targets for senescence mediated cancer: genetic complementarity method.


ABSTRACT:

Background

Senescence have emerged as potential factors of lung cancer risk based on findings from many studies. However, the underlying pathogenesis of lung cancer caused by senescence is not clear. In this study, we try to explain the potential pathogenesis between senescence and lung cancer through proteomics and metabonomics. And try to find new potential therapeutic targets in lung cancer patients through network mendelian randomization (MR).

Methods

The genome-wide association data of this study was mainly obtained from a meta-analysis and the Transdisciplinary Research in Cancer of the Lung Consortium (TRICL), respectively.And in this study, we mainly used genetic complementarity methods to explore the susceptibility of aging to lung cancer. Additionally, a mediation

SUBMITTER: Fang X 

PROVIDER: S-EPMC10514473 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature