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Blood-based lung cancer biomarkers identified through proteomic discovery in cancer tissues, cell lines and conditioned medium

BACKGROUND: Support for early detection of lung cancer has emerged from the National Lung Screening Trial (NLST), in which low-dose computed tomography (LDCT) screening reduced lung cancer mortality by 20 % relative to chest x-ray. The US Preventive Services Task Force (USPSTF) recently recommended...

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Autores principales: Birse, Charles E., Lagier, Robert J., FitzHugh, William, Pass, Harvey I., Rom, William N., Edell, Eric S., Bungum, Aaron O., Maldonado, Fabien, Jett, James R., Mesri, Mehdi, Sult, Erin, Joseloff, Elizabeth, Li, Aiqun, Heidbrink, Jenny, Dhariwal, Gulshan, Danis, Chad, Tomic, Jennifer L., Bruce, Robert J., Moore, Paul A., He, Tao, Lewis, Marcia E., Ruben, Steve M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4537594/
https://www.ncbi.nlm.nih.gov/pubmed/26279647
http://dx.doi.org/10.1186/s12014-015-9090-9
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author Birse, Charles E.
Lagier, Robert J.
FitzHugh, William
Pass, Harvey I.
Rom, William N.
Edell, Eric S.
Bungum, Aaron O.
Maldonado, Fabien
Jett, James R.
Mesri, Mehdi
Sult, Erin
Joseloff, Elizabeth
Li, Aiqun
Heidbrink, Jenny
Dhariwal, Gulshan
Danis, Chad
Tomic, Jennifer L.
Bruce, Robert J.
Moore, Paul A.
He, Tao
Lewis, Marcia E.
Ruben, Steve M.
author_facet Birse, Charles E.
Lagier, Robert J.
FitzHugh, William
Pass, Harvey I.
Rom, William N.
Edell, Eric S.
Bungum, Aaron O.
Maldonado, Fabien
Jett, James R.
Mesri, Mehdi
Sult, Erin
Joseloff, Elizabeth
Li, Aiqun
Heidbrink, Jenny
Dhariwal, Gulshan
Danis, Chad
Tomic, Jennifer L.
Bruce, Robert J.
Moore, Paul A.
He, Tao
Lewis, Marcia E.
Ruben, Steve M.
author_sort Birse, Charles E.
collection PubMed
description BACKGROUND: Support for early detection of lung cancer has emerged from the National Lung Screening Trial (NLST), in which low-dose computed tomography (LDCT) screening reduced lung cancer mortality by 20 % relative to chest x-ray. The US Preventive Services Task Force (USPSTF) recently recommended annual screening for the high-risk population, concluding that the benefits (life years gained) outweighed harms (false positive findings, abortive biopsy/surgery, radiation exposure). In making their recommendation, the USPSTF noted that the moderate net benefit of screening was dependent on the resolution of most false-positive results without invasive procedures. Circulating biomarkers may serve as a valuable adjunctive tool to imaging. RESULTS: We developed a broad-based proteomics discovery program, integrating liquid chromatography/mass spectrometry (LC/MS) analyses of freshly resected lung tumor specimens (n = 13), lung cancer cell lines (n = 17), and conditioned media collected from tumor cell lines (n = 7). To enrich for biomarkers likely to be found at elevated levels in the peripheral circulation of lung cancer patients, proteins were prioritized based on predicted subcellular localization (secreted, cell-membrane associated) and differential expression in disease samples. 179 candidate biomarkers were identified. Several markers selected for further validation showed elevated levels in serum collected from subjects with stage I NSCLC (n = 94), relative to healthy smoker controls (n = 189). An 8-marker model was developed (TFPI, MDK, OPN, MMP2, TIMP1, CEA, CYFRA 21–1, SCC) which accurately distinguished subjects with lung cancer (n = 50) from high risk smokers (n = 50) in an independent validation study (AUC = 0.775). CONCLUSIONS: Integrating biomarker discovery from multiple sample types (fresh tissue, cell lines and conditioned medium) has resulted in a diverse repertoire of candidate biomarkers. This unique collection of biomarkers may have clinical utility in lung cancer detection and diagnoses. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12014-015-9090-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-45375942015-08-16 Blood-based lung cancer biomarkers identified through proteomic discovery in cancer tissues, cell lines and conditioned medium Birse, Charles E. Lagier, Robert J. FitzHugh, William Pass, Harvey I. Rom, William N. Edell, Eric S. Bungum, Aaron O. Maldonado, Fabien Jett, James R. Mesri, Mehdi Sult, Erin Joseloff, Elizabeth Li, Aiqun Heidbrink, Jenny Dhariwal, Gulshan Danis, Chad Tomic, Jennifer L. Bruce, Robert J. Moore, Paul A. He, Tao Lewis, Marcia E. Ruben, Steve M. Clin Proteomics Research BACKGROUND: Support for early detection of lung cancer has emerged from the National Lung Screening Trial (NLST), in which low-dose computed tomography (LDCT) screening reduced lung cancer mortality by 20 % relative to chest x-ray. The US Preventive Services Task Force (USPSTF) recently recommended annual screening for the high-risk population, concluding that the benefits (life years gained) outweighed harms (false positive findings, abortive biopsy/surgery, radiation exposure). In making their recommendation, the USPSTF noted that the moderate net benefit of screening was dependent on the resolution of most false-positive results without invasive procedures. Circulating biomarkers may serve as a valuable adjunctive tool to imaging. RESULTS: We developed a broad-based proteomics discovery program, integrating liquid chromatography/mass spectrometry (LC/MS) analyses of freshly resected lung tumor specimens (n = 13), lung cancer cell lines (n = 17), and conditioned media collected from tumor cell lines (n = 7). To enrich for biomarkers likely to be found at elevated levels in the peripheral circulation of lung cancer patients, proteins were prioritized based on predicted subcellular localization (secreted, cell-membrane associated) and differential expression in disease samples. 179 candidate biomarkers were identified. Several markers selected for further validation showed elevated levels in serum collected from subjects with stage I NSCLC (n = 94), relative to healthy smoker controls (n = 189). An 8-marker model was developed (TFPI, MDK, OPN, MMP2, TIMP1, CEA, CYFRA 21–1, SCC) which accurately distinguished subjects with lung cancer (n = 50) from high risk smokers (n = 50) in an independent validation study (AUC = 0.775). CONCLUSIONS: Integrating biomarker discovery from multiple sample types (fresh tissue, cell lines and conditioned medium) has resulted in a diverse repertoire of candidate biomarkers. This unique collection of biomarkers may have clinical utility in lung cancer detection and diagnoses. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12014-015-9090-9) contains supplementary material, which is available to authorized users. BioMed Central 2015-07-16 /pmc/articles/PMC4537594/ /pubmed/26279647 http://dx.doi.org/10.1186/s12014-015-9090-9 Text en © Birse et al. 2015 Open Access This 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 Research
Birse, Charles E.
Lagier, Robert J.
FitzHugh, William
Pass, Harvey I.
Rom, William N.
Edell, Eric S.
Bungum, Aaron O.
Maldonado, Fabien
Jett, James R.
Mesri, Mehdi
Sult, Erin
Joseloff, Elizabeth
Li, Aiqun
Heidbrink, Jenny
Dhariwal, Gulshan
Danis, Chad
Tomic, Jennifer L.
Bruce, Robert J.
Moore, Paul A.
He, Tao
Lewis, Marcia E.
Ruben, Steve M.
Blood-based lung cancer biomarkers identified through proteomic discovery in cancer tissues, cell lines and conditioned medium
title Blood-based lung cancer biomarkers identified through proteomic discovery in cancer tissues, cell lines and conditioned medium
title_full Blood-based lung cancer biomarkers identified through proteomic discovery in cancer tissues, cell lines and conditioned medium
title_fullStr Blood-based lung cancer biomarkers identified through proteomic discovery in cancer tissues, cell lines and conditioned medium
title_full_unstemmed Blood-based lung cancer biomarkers identified through proteomic discovery in cancer tissues, cell lines and conditioned medium
title_short Blood-based lung cancer biomarkers identified through proteomic discovery in cancer tissues, cell lines and conditioned medium
title_sort blood-based lung cancer biomarkers identified through proteomic discovery in cancer tissues, cell lines and conditioned medium
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4537594/
https://www.ncbi.nlm.nih.gov/pubmed/26279647
http://dx.doi.org/10.1186/s12014-015-9090-9
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