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Complement C4d-specific antibodies for the diagnosis of lung cancer
Development of molecular markers that help to identify high-risk individuals or diagnose indeterminate pulmonary nodules could have a major impact on lung cancer clinical management. In this study, we evaluated the diagnostic potential of a newly-developed ELISA that specifically detects complement...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5814217/ https://www.ncbi.nlm.nih.gov/pubmed/29464077 http://dx.doi.org/10.18632/oncotarget.23690 |
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author | Ajona, Daniel Okrój, Marcin Pajares, María J. Agorreta, Jackeline Lozano, María D. Zulueta, Javier J. Verri, Carla Roz, Luca Sozzi, Gabriella Pastorino, Ugo Massion, Pierre P. Montuenga, Luis M. Blom, Anna M. Pio, Ruben |
author_facet | Ajona, Daniel Okrój, Marcin Pajares, María J. Agorreta, Jackeline Lozano, María D. Zulueta, Javier J. Verri, Carla Roz, Luca Sozzi, Gabriella Pastorino, Ugo Massion, Pierre P. Montuenga, Luis M. Blom, Anna M. Pio, Ruben |
author_sort | Ajona, Daniel |
collection | PubMed |
description | Development of molecular markers that help to identify high-risk individuals or diagnose indeterminate pulmonary nodules could have a major impact on lung cancer clinical management. In this study, we evaluated the diagnostic potential of a newly-developed ELISA that specifically detects complement C4d. We measured this marker in five independent cohorts of plasma and bronchoalveolar lavage samples from lung cancer patients and controls. In case-control studies, the area under the ROC curve for the diagnosis of lung cancer was 0.82 (95%CI = 0.72–0.92) in plasma samples, and 0.80 (95%CI = 0.69 to 0.90) in bronchoalveolar lavage fluids. In a set of plasma samples from the MILD CT-screening trial, the assay was unable to discriminate between asymptomatic high-risk individuals with or without early stage lung cancer. On the contrary, in two independent cohorts of individuals with indeterminate pulmonary nodules, plasma samples from patients with lung cancer nodules presented higher levels of C4d than those from patients with benign nodules. Using a target population of patients with 8 to 30 mm nodules, the test identified likely benign lung nodules with 84% negative predictive value and 54% positive predictive value, at 89% specificity and 44% sensitivity. In conclusion, the specific determination of C4d may serve as an adjunct to current clinical practice in the diagnosis of indeterminate pulmonary nodules. |
format | Online Article Text |
id | pubmed-5814217 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-58142172018-02-20 Complement C4d-specific antibodies for the diagnosis of lung cancer Ajona, Daniel Okrój, Marcin Pajares, María J. Agorreta, Jackeline Lozano, María D. Zulueta, Javier J. Verri, Carla Roz, Luca Sozzi, Gabriella Pastorino, Ugo Massion, Pierre P. Montuenga, Luis M. Blom, Anna M. Pio, Ruben Oncotarget Research Paper Development of molecular markers that help to identify high-risk individuals or diagnose indeterminate pulmonary nodules could have a major impact on lung cancer clinical management. In this study, we evaluated the diagnostic potential of a newly-developed ELISA that specifically detects complement C4d. We measured this marker in five independent cohorts of plasma and bronchoalveolar lavage samples from lung cancer patients and controls. In case-control studies, the area under the ROC curve for the diagnosis of lung cancer was 0.82 (95%CI = 0.72–0.92) in plasma samples, and 0.80 (95%CI = 0.69 to 0.90) in bronchoalveolar lavage fluids. In a set of plasma samples from the MILD CT-screening trial, the assay was unable to discriminate between asymptomatic high-risk individuals with or without early stage lung cancer. On the contrary, in two independent cohorts of individuals with indeterminate pulmonary nodules, plasma samples from patients with lung cancer nodules presented higher levels of C4d than those from patients with benign nodules. Using a target population of patients with 8 to 30 mm nodules, the test identified likely benign lung nodules with 84% negative predictive value and 54% positive predictive value, at 89% specificity and 44% sensitivity. In conclusion, the specific determination of C4d may serve as an adjunct to current clinical practice in the diagnosis of indeterminate pulmonary nodules. Impact Journals LLC 2017-12-26 /pmc/articles/PMC5814217/ /pubmed/29464077 http://dx.doi.org/10.18632/oncotarget.23690 Text en Copyright: © 2018 Ajona et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Ajona, Daniel Okrój, Marcin Pajares, María J. Agorreta, Jackeline Lozano, María D. Zulueta, Javier J. Verri, Carla Roz, Luca Sozzi, Gabriella Pastorino, Ugo Massion, Pierre P. Montuenga, Luis M. Blom, Anna M. Pio, Ruben Complement C4d-specific antibodies for the diagnosis of lung cancer |
title | Complement C4d-specific antibodies for the diagnosis of lung cancer |
title_full | Complement C4d-specific antibodies for the diagnosis of lung cancer |
title_fullStr | Complement C4d-specific antibodies for the diagnosis of lung cancer |
title_full_unstemmed | Complement C4d-specific antibodies for the diagnosis of lung cancer |
title_short | Complement C4d-specific antibodies for the diagnosis of lung cancer |
title_sort | complement c4d-specific antibodies for the diagnosis of lung cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5814217/ https://www.ncbi.nlm.nih.gov/pubmed/29464077 http://dx.doi.org/10.18632/oncotarget.23690 |
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