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Lung cancer biomarkers: State of the art

Lung cancer is one of the deadliest cancers worldwide, with the highest incidence and mortality amongst all cancers. While the prognosis of lung cancer is generally grim, with 5-year survival rates of only 15%, there is hope, and evidence, that early detection of lung cancer can reduce mortality. To...

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Autores principales: Subramaniam, Sangeetha, Thakur, Ram Krishna, Yadav, Vinod Kumar, Nanda, Ranjan, Chowdhury, Shantanu, Agrawal, Anurag
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3622361/
https://www.ncbi.nlm.nih.gov/pubmed/23599685
http://dx.doi.org/10.4103/1477-3163.107958
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author Subramaniam, Sangeetha
Thakur, Ram Krishna
Yadav, Vinod Kumar
Nanda, Ranjan
Chowdhury, Shantanu
Agrawal, Anurag
author_facet Subramaniam, Sangeetha
Thakur, Ram Krishna
Yadav, Vinod Kumar
Nanda, Ranjan
Chowdhury, Shantanu
Agrawal, Anurag
author_sort Subramaniam, Sangeetha
collection PubMed
description Lung cancer is one of the deadliest cancers worldwide, with the highest incidence and mortality amongst all cancers. While the prognosis of lung cancer is generally grim, with 5-year survival rates of only 15%, there is hope, and evidence, that early detection of lung cancer can reduce mortality. Today, only computed tomography screening has shown to lead to early detection and reduction in mortality, but is limited by being anatomic in nature, unable to differentiate between inflammatory and neoplastic pathways, and therefore, susceptible to false positives. There is increasing interest in biomarkers for lung cancer, especially those that predict metastatic risk. Some biomarkers like DNA mutations and epigenetic changes potentially require tissue from the at-risk site; some like serum proteins and miRNAs are minimally invasive, but may not be specific to the lung. In comparison, emerging biomarkers from exhaled breath, like volatile organic compounds (VOC), and exhaled breath condensate, e.g., small molecules and nucleic acids, have the potential to combine the best of both. This mini review is intended to provide an overview of the field, briefly discussing the potential of what is known and highlighting the exciting recent developments, particularly with miRNAs and VOCs.
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spelling pubmed-36223612013-04-18 Lung cancer biomarkers: State of the art Subramaniam, Sangeetha Thakur, Ram Krishna Yadav, Vinod Kumar Nanda, Ranjan Chowdhury, Shantanu Agrawal, Anurag J Carcinog Review Article Lung cancer is one of the deadliest cancers worldwide, with the highest incidence and mortality amongst all cancers. While the prognosis of lung cancer is generally grim, with 5-year survival rates of only 15%, there is hope, and evidence, that early detection of lung cancer can reduce mortality. Today, only computed tomography screening has shown to lead to early detection and reduction in mortality, but is limited by being anatomic in nature, unable to differentiate between inflammatory and neoplastic pathways, and therefore, susceptible to false positives. There is increasing interest in biomarkers for lung cancer, especially those that predict metastatic risk. Some biomarkers like DNA mutations and epigenetic changes potentially require tissue from the at-risk site; some like serum proteins and miRNAs are minimally invasive, but may not be specific to the lung. In comparison, emerging biomarkers from exhaled breath, like volatile organic compounds (VOC), and exhaled breath condensate, e.g., small molecules and nucleic acids, have the potential to combine the best of both. This mini review is intended to provide an overview of the field, briefly discussing the potential of what is known and highlighting the exciting recent developments, particularly with miRNAs and VOCs. Medknow Publications & Media Pvt Ltd 2013-02-28 /pmc/articles/PMC3622361/ /pubmed/23599685 http://dx.doi.org/10.4103/1477-3163.107958 Text en © 2013 Subramaniam http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Subramaniam, Sangeetha
Thakur, Ram Krishna
Yadav, Vinod Kumar
Nanda, Ranjan
Chowdhury, Shantanu
Agrawal, Anurag
Lung cancer biomarkers: State of the art
title Lung cancer biomarkers: State of the art
title_full Lung cancer biomarkers: State of the art
title_fullStr Lung cancer biomarkers: State of the art
title_full_unstemmed Lung cancer biomarkers: State of the art
title_short Lung cancer biomarkers: State of the art
title_sort lung cancer biomarkers: state of the art
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3622361/
https://www.ncbi.nlm.nih.gov/pubmed/23599685
http://dx.doi.org/10.4103/1477-3163.107958
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