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

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...

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Autores principales: Billatos, Ehab, Duan, Fenghai, Moses, Elizabeth, Marques, Helga, Mahon, Irene, Dymond, Lindsey, Apgar, Charles, Aberle, Denise, Washko, George, Spira, Avrum
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6407252/
https://www.ncbi.nlm.nih.gov/pubmed/30845938
http://dx.doi.org/10.1186/s12890-019-0825-7
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author Billatos, Ehab
Duan, Fenghai
Moses, Elizabeth
Marques, Helga
Mahon, Irene
Dymond, Lindsey
Apgar, Charles
Aberle, Denise
Washko, George
Spira, Avrum
author_facet Billatos, Ehab
Duan, Fenghai
Moses, Elizabeth
Marques, Helga
Mahon, Irene
Dymond, Lindsey
Apgar, Charles
Aberle, Denise
Washko, George
Spira, Avrum
author_sort Billatos, Ehab
collection PubMed
description 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: 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: 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: 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.
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spelling pubmed-64072522019-03-21 Detection of early lung cancer among military personnel (DECAMP) consortium: study protocols Billatos, Ehab Duan, Fenghai Moses, Elizabeth Marques, Helga Mahon, Irene Dymond, Lindsey Apgar, Charles Aberle, Denise Washko, George Spira, Avrum BMC Pulm Med Study Protocol 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: 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: 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: 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. BioMed Central 2019-03-07 /pmc/articles/PMC6407252/ /pubmed/30845938 http://dx.doi.org/10.1186/s12890-019-0825-7 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Study Protocol
Billatos, Ehab
Duan, Fenghai
Moses, Elizabeth
Marques, Helga
Mahon, Irene
Dymond, Lindsey
Apgar, Charles
Aberle, Denise
Washko, George
Spira, Avrum
Detection of early lung cancer among military personnel (DECAMP) consortium: study protocols
title Detection of early lung cancer among military personnel (DECAMP) consortium: study protocols
title_full Detection of early lung cancer among military personnel (DECAMP) consortium: study protocols
title_fullStr Detection of early lung cancer among military personnel (DECAMP) consortium: study protocols
title_full_unstemmed Detection of early lung cancer among military personnel (DECAMP) consortium: study protocols
title_short Detection of early lung cancer among military personnel (DECAMP) consortium: study protocols
title_sort detection of early lung cancer among military personnel (decamp) consortium: study protocols
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6407252/
https://www.ncbi.nlm.nih.gov/pubmed/30845938
http://dx.doi.org/10.1186/s12890-019-0825-7
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