Quantitative Imaging Markers of Lung Function in a Smoking Population Distinguish COPD Subgroups with Differential Lung Cancer Risk.
Journal
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
ISSN: 1538-7755
Titre abrégé: Cancer Epidemiol Biomarkers Prev
Pays: United States
ID NLM: 9200608
Informations de publication
Date de publication:
04 2019
04 2019
Historique:
received:
10
08
2018
revised:
30
10
2018
accepted:
12
12
2018
pubmed:
16
1
2019
medline:
4
6
2020
entrez:
16
1
2019
Statut:
ppublish
Résumé
Chronic obstructive pulmonary disease (COPD) is a heterogeneous condition with respect to onset, progression, and response to therapy. Incorporating clinical- and imaging-based features to refine COPD phenotypes provides valuable information beyond that obtained from traditional clinical evaluations. We characterized the spectrum of COPD-related phenotypes in a sample of former and current smokers and evaluated how these subgroups differ with respect to sociodemographic characteristics, COPD-related comorbidities, and subsequent risk of lung cancer. White ( Five clusters were identified that differed significantly with respect to sociodemographic (e.g., race, age) and clinical (e.g., BMI, limitations due to breathing difficulties) characteristics. Increased risk of lung cancer was associated with increasingly detrimental lung function clusters (when ordered from most detrimental to least detrimental). Measures of lung function vary considerably among smokers and are not fully explained by smoking intensity. Combining clinical (spirometry) and radiologic (qCT) measures of COPD defines a spectrum of lung disease that predicts lung cancer risk differentially among patient clusters.
Sections du résumé
BACKGROUND
Chronic obstructive pulmonary disease (COPD) is a heterogeneous condition with respect to onset, progression, and response to therapy. Incorporating clinical- and imaging-based features to refine COPD phenotypes provides valuable information beyond that obtained from traditional clinical evaluations. We characterized the spectrum of COPD-related phenotypes in a sample of former and current smokers and evaluated how these subgroups differ with respect to sociodemographic characteristics, COPD-related comorbidities, and subsequent risk of lung cancer.
METHODS
White (
RESULTS
Five clusters were identified that differed significantly with respect to sociodemographic (e.g., race, age) and clinical (e.g., BMI, limitations due to breathing difficulties) characteristics. Increased risk of lung cancer was associated with increasingly detrimental lung function clusters (when ordered from most detrimental to least detrimental).
CONCLUSIONS
Measures of lung function vary considerably among smokers and are not fully explained by smoking intensity.
IMPACT
Combining clinical (spirometry) and radiologic (qCT) measures of COPD defines a spectrum of lung disease that predicts lung cancer risk differentially among patient clusters.
Identifiants
pubmed: 30642838
pii: 1055-9965.EPI-18-0886
doi: 10.1158/1055-9965.EPI-18-0886
pmc: PMC6449213
mid: NIHMS1517121
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
724-730Subventions
Organisme : NCI NIH HHS
ID : P30 CA086862
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA141769
Pays : United States
Organisme : CCR NIH HHS
ID : HHSN261201300011C
Pays : United States
Organisme : NCI NIH HHS
ID : N01 PC065064
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA022453
Pays : United States
Organisme : NCI NIH HHS
ID : HHSN261201300011I
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL112986
Pays : United States
Organisme : NIEHS NIH HHS
ID : P30 ES005605
Pays : United States
Informations de copyright
©2019 American Association for Cancer Research.
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