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Dataset Information

Distinguishing Smoking-Related Lung Disease Phenotypes Via Imaging and Molecular Features.


ABSTRACT:

Background

Chronic tobacco smoke exposure results in a broad range of lung pathologies including emphysema, airway disease and parenchymal fibrosis as well as a multitude of extra-pulmonary comorbidities. Prior work using CT imaging has identified several clinically relevant subgroups of smoking related lung disease, but these investigations have generally lacked organ specific molecular correlates.

Research question

Can CT imaging be used to identify clinical phenotypes of smoking related lung disease that have specific bronchial epithelial gene expression patterns to better understand disease pathogenesis?

Study design and methods

Using K-means clustering, we clustered participants from the COPDGene study (n = 5,273) based on CT imaging characteristics and then eval

SUBMITTER: Billatos E 

PROVIDER: S-EPMC8039011 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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