» Articles » PMID: 28333763

Inflammatory Status and Lung Function Predict Mortality in Lung Cancer Screening Participants

Overview
Specialty Oncology
Date 2017 Mar 24
PMID 28333763
Citations 7
Authors
Affiliations
Soon will be listed here.
Abstract

Low-dose computed tomography (LDCT) screening trials have based their risk selection algorithm on age and tobacco exposure, but never on pulmonary risk-related biomarkers. In the present study, the baseline inflammatory status, measured by C-reactive protein (CRP) level, and lung function, measured by forced expiratory volume in 1 s (FEV1), were tested as independent predictors of all-cause mortality in LDCT-screening participants. Between 2000 and 2010, 4413 volunteers were enrolled in two LDCT-screening trials, with evaluable baseline CRP and FEV1 values: 2037 were included in the discovery set and 2376 were included in the validation set. The effect of low FEV1 or high CRP alone or combined was evaluated by Kaplan-Meier mortality curves and hazard ratio (HR) with 95% confidence interval (CI) by fitting Cox proportional hazards models. The overall mortality risk was significantly higher in participants with FEV1 of up to 90% (HR: 2.13, CI: 1.43-3.17) or CRP more than 2 mg/l (HR: 3.38, CI: 1.60-3.54) and was still significant in the fully adjusted model. The cumulative 10-year probability of death was 0.03 for participants with FEV1 of more than 90% and CRP up to 2 mg/l, 0.05 with only FEV1 of up to 90% or CRP above 2 mg/l, and 0.12 with FEV1 of up to 90% and CRP above 2 mg/l. This predictive performance was confirmed in the two external validation cohorts with 10-year mortality rates of 0.06, 0.12, and 0.14, and 0.03, 0.07, and 0.14, respectively. Baseline inflammatory status and lung function reduction are independent predictors of all-cause long-term mortality in LDCT-screening participants. CRP and FEV1 could be used to select higher-risk individuals for future LDCT screening and preventive programs.

Citing Articles

Assessing the performance of QLQ-C30 in predicting all-cause mortality in community cancer patients.

Zhao J, Wang Y, Huang W, Xu R, Yang X, Wang P BMC Cancer. 2025; 25(1):421.

PMID: 40055624 PMC: 11889892. DOI: 10.1186/s12885-025-13624-z.


Automated Measurement of Coronary Artery Calcifications and Routine Perioperative Blood Tests Predict Survival in Resected Stage I Lung Cancer.

Sabia F, Valsecchi C, Ledda R, Bogani G, Orlandi R, Rolli L JTO Clin Res Rep. 2025; 6(3):100788.

PMID: 39990140 PMC: 11847048. DOI: 10.1016/j.jtocrr.2025.100788.


Comparative Study on Associations Between Lung Cancer Prognosis and Diagnostic Criteria Set by the European Palliative Care Research Collaboration and the Asian Working Group for Cachexia.

Katsushima U, Fukushima T, Nakano J, Ogushi N, Fujii K, Nagata Y Thorac Cancer. 2024; 16(2):e15503.

PMID: 39654007 PMC: 11735465. DOI: 10.1111/1759-7714.15503.


Routine perioperative blood tests predict survival of resectable lung cancer.

Morelli D, Cantarutti A, Valsecchi C, Sabia F, Rolli L, Leuzzi G Sci Rep. 2023; 13(1):17072.

PMID: 37816885 PMC: 10564956. DOI: 10.1038/s41598-023-44308-y.


Long-term outcomes of lung cancer screening in males and females.

Ruggirello M, Valsecchi C, Ledda R, Sabia F, Vigorito R, Sozzi G Lung Cancer. 2023; 185:107387.

PMID: 37801898 PMC: 10788694. DOI: 10.1016/j.lungcan.2023.107387.


References
1.
Wang L, Zhang L, Wu J, Xu S, Xu Y, Li D . IL-1β-mediated repression of microRNA-101 is crucial for inflammation-promoted lung tumorigenesis. Cancer Res. 2014; 74(17):4720-30. DOI: 10.1158/0008-5472.CAN-14-0960. View

2.
Field J, Duffy S, Baldwin D, Whynes D, Devaraj A, Brain K . UK Lung Cancer RCT Pilot Screening Trial: baseline findings from the screening arm provide evidence for the potential implementation of lung cancer screening. Thorax. 2015; 71(2):161-70. PMC: 4752629. DOI: 10.1136/thoraxjnl-2015-207140. View

3.
Zhang X, Chi Y, Wang L, Wang H, Lin X . Systemic inflammation in patients with chronic obstructive pulmonary disease undergoing percutaneous coronary intervention. Respirology. 2014; 19(5):723-9. DOI: 10.1111/resp.12295. View

4.
Park E, Gareen I, Japuntich S, Lennes I, Hyland K, DeMello S . Primary Care Provider-Delivered Smoking Cessation Interventions and Smoking Cessation Among Participants in the National Lung Screening Trial. JAMA Intern Med. 2015; 175(9):1509-16. PMC: 5089370. DOI: 10.1001/jamainternmed.2015.2391. View

5.
Tammemagi M . Application of risk prediction models to lung cancer screening: a review. J Thorac Imaging. 2015; 30(2):88-100. DOI: 10.1097/RTI.0000000000000142. View