Detection of early lung cancer among military personnel (DECAMP) consortium: study protocols.


Journal

BMC pulmonary medicine
ISSN: 1471-2466
Titre abrégé: BMC Pulm Med
Pays: England
ID NLM: 100968563

Informations de publication

Date de publication:
07 Mar 2019
Historique:
received: 22 06 2018
accepted: 26 02 2019
entrez: 9 3 2019
pubmed: 9 3 2019
medline: 19 7 2019
Statut: epublish

Résumé

Lung cancer is the leading cause of cancer-related death due in large part to our inability to diagnose it at an early and potentially curable stage. Screening for lung cancer via low dose computed tomographic (LDCT) imaging has been demonstrated to improve mortality but also results in a high rate of false positive tests. The identification and application of non-invasive molecular biomarkers that improve the performance of CT imaging for the detection of lung cancer in high risk individuals would aid in clinical decision-making, eliminate the need for unnecessary LDCT follow-up, and further refine the screening criteria for an already large high-risk population. The Detection of Early Lung Cancer Among Military Personnel (DECAMP) consortium is conducting two multicenter prospective studies with the goals of developing an integrated panel of both airway and blood-based molecular biomarkers that discriminate benign and malignant indeterminate nodules detected on CT scan as well as predict the future development of lung cancer in high-risk individuals. To achieve these goals, DECAMP is compiling an extensive array of biospecimens including nasal brushings, serum, plasma and intrathoracic airway samples (bronchial brushings and bronchial biopsies) from normal-appearing airway epithelium. This bank of samples is the foundation for multiple DECAMP efforts focused on the identification of those at greatest risk of developing lung cancer as well as the discrimination of benign and malignant pulmonary nodules. The clinical, imaging and biospecimen repositories will serve as a resource for the biomedical community and their investigation of the molecular basis of chronic respiratory disease. Retrospectively registered as NCT01785342 - DECAMP-1: Diagnosis and Surveillance of Indeterminate Pulmonary Nodules (DECAMP-1). Date of Registration: February 7, 2013. Retrospectively registered as NCT02504697 - DECAMP-2: Screening of Patients With Early Stage Lung Cancer or at High Risk for Developing Lung Cancer (DECAMP-2). Date of Registration: July 22, 2015.

Sections du résumé

BACKGROUND BACKGROUND
Lung cancer is the leading cause of cancer-related death due in large part to our inability to diagnose it at an early and potentially curable stage. Screening for lung cancer via low dose computed tomographic (LDCT) imaging has been demonstrated to improve mortality but also results in a high rate of false positive tests. The identification and application of non-invasive molecular biomarkers that improve the performance of CT imaging for the detection of lung cancer in high risk individuals would aid in clinical decision-making, eliminate the need for unnecessary LDCT follow-up, and further refine the screening criteria for an already large high-risk population.
METHODS METHODS
The Detection of Early Lung Cancer Among Military Personnel (DECAMP) consortium is conducting two multicenter prospective studies with the goals of developing an integrated panel of both airway and blood-based molecular biomarkers that discriminate benign and malignant indeterminate nodules detected on CT scan as well as predict the future development of lung cancer in high-risk individuals. To achieve these goals, DECAMP is compiling an extensive array of biospecimens including nasal brushings, serum, plasma and intrathoracic airway samples (bronchial brushings and bronchial biopsies) from normal-appearing airway epithelium.
DISCUSSION CONCLUSIONS
This bank of samples is the foundation for multiple DECAMP efforts focused on the identification of those at greatest risk of developing lung cancer as well as the discrimination of benign and malignant pulmonary nodules. The clinical, imaging and biospecimen repositories will serve as a resource for the biomedical community and their investigation of the molecular basis of chronic respiratory disease.
TRIAL REGISTRATION BACKGROUND
Retrospectively registered as NCT01785342 - DECAMP-1: Diagnosis and Surveillance of Indeterminate Pulmonary Nodules (DECAMP-1). Date of Registration: February 7, 2013. Retrospectively registered as NCT02504697 - DECAMP-2: Screening of Patients With Early Stage Lung Cancer or at High Risk for Developing Lung Cancer (DECAMP-2). Date of Registration: July 22, 2015.

Identifiants

pubmed: 30845938
doi: 10.1186/s12890-019-0825-7
pii: 10.1186/s12890-019-0825-7
pmc: PMC6407252
doi:

Substances chimiques

Biomarkers, Tumor 0

Banques de données

ClinicalTrials.gov
['NCT01785342', 'NCT02504697']

Types de publication

Clinical Trial Protocol Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

59

Subventions

Organisme : NHLBI NIH HHS
ID : T32 HL007035
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA196408
Pays : United States
Organisme : NCI NIH HHS
ID : U01CA196408
Pays : United States
Organisme : U.S. Department of Defense
ID : W81XWH-11-2-0161

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Auteurs

Ehab Billatos (E)

Division of Pulmonary, Allergy, and Critical Care Medicine, Boston University School of Medicine, Boston, MA, 02118, USA. ebillato@bu.edu.

Fenghai Duan (F)

Department of Biostatistics, Brown University, Providence, RI, 02912, USA.

Elizabeth Moses (E)

Division of Computational Biomedicine, Boston University School of Medicine, Boston, MA, 02118, USA.

Helga Marques (H)

Department of Biostatistics, Brown University, Providence, RI, 02912, USA.

Irene Mahon (I)

American College of Radiology Imaging Network, Philadelphia, PA, 19103, USA.

Lindsey Dymond (L)

American College of Radiology Imaging Network, Philadelphia, PA, 19103, USA.

Charles Apgar (C)

American College of Radiology Imaging Network, Philadelphia, PA, 19103, USA.

Denise Aberle (D)

Department of Radiological Sciences, University of California at Los Angeles, Los Angeles, CA, 90024, USA.

George Washko (G)

Division of Pulmonary and Critical Care Medicine, Brigham and Women's University, Boston, MA, 02115, USA.

Avrum Spira (A)

Division of Pulmonary, Allergy, and Critical Care Medicine, Boston University School of Medicine, Boston, MA, 02118, USA.
Division of Computational Biomedicine, Boston University School of Medicine, Boston, MA, 02118, USA.

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Classifications MeSH