Integrating genetic and clinical data to predict lung cancer in patients with chronic obstructive pulmonary disease.

ABSTRACT:

Background

Chronic obstructive pulmonary disease (COPD) is closely linked to lung cancer (LC) development. The aim of this study is to identify the genetic and clinical risk factors for LC risk in COPD, according to which the prediction model for LC in COPD was constructed.

Methods

This is a case-control study in which patientis with COPD + LC as the case group, patientis with only COPD as the control group, and patientis with only LC as the second control group. A panel of clinical variables including demographic, environmental and lifestyle factors were collected. A total of 20 single nucleotide polymorphisms (SNPs) were genotyped. The univariate analysis, candidate gene study and multivariate analysis were applied to identify the independent risk factors, as well as the p

SUBMITTER: Gu Z 

PROVIDER: S-EPMC11656926 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature