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Molecular biomarkers in early stage lung cancer
Low dose computed tomography (LDCT) screening, together with the recent advances in targeted and immunotherapies, have shown to improve non-small cell lung cancer (NSCLC) survival. Furthermore, screening has increased the number of early stage-detected tumors, allowing for surgical resection and mul...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947407/ https://www.ncbi.nlm.nih.gov/pubmed/33718054 http://dx.doi.org/10.21037/tlcr-20-750 |
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author | Rodríguez, María Ajona, Daniel Seijo, Luis M. Sanz, Julián Valencia, Karmele Corral, Jesús Mesa-Guzmán, Miguel Pío, Rubén Calvo, Alfonso Lozano, María D. Zulueta, Javier J. Montuenga, Luis M. |
author_facet | Rodríguez, María Ajona, Daniel Seijo, Luis M. Sanz, Julián Valencia, Karmele Corral, Jesús Mesa-Guzmán, Miguel Pío, Rubén Calvo, Alfonso Lozano, María D. Zulueta, Javier J. Montuenga, Luis M. |
author_sort | Rodríguez, María |
collection | PubMed |
description | Low dose computed tomography (LDCT) screening, together with the recent advances in targeted and immunotherapies, have shown to improve non-small cell lung cancer (NSCLC) survival. Furthermore, screening has increased the number of early stage-detected tumors, allowing for surgical resection and multimodality treatments when needed. The need for improved sensitivity and specificity of NSCLC screening has led to increased interest in combining clinical and radiological data with molecular data. The development of biomarkers is poised to refine inclusion criteria for LDCT screening programs. Biomarkers may also be useful to better characterize the risk of indeterminate nodules found in the course of screening or to refine prognosis and help in the management of screening detected tumors. The clinical implications of these biomarkers are still being investigated and whether or not biomarkers will be included in further decision-making algorithms in the context of screening and early lung cancer management still needs to be determined. However, it seems clear that there is much room for improvement even in early stage lung cancer disease-free survival (DFS) rates; thus, biomarkers may be the key to refine risk-stratification and treatment of these patients. Clinicians’ capacity to register, integrate, and analyze all the available data in both high risk individuals and early stage NSCLC patients will lead to a better understanding of the disease’s mechanisms, and will have a direct impact in diagnosis, treatment, and follow up of these patients. In this review, we aim to summarize all the available data regarding the role of biomarkers in LDCT screening and early stage NSCLC from a multidisciplinary perspective. We have highlighted clinical implications, the need to combine risk stratification, clinical data, radiomics, molecular information and artificial intelligence in order to improve clinical decision-making, especially regarding early diagnostics and adjuvant therapy. We also discuss current and future perspectives for biomarker implementation in routine clinical practice. |
format | Online Article Text |
id | pubmed-7947407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-79474072021-03-12 Molecular biomarkers in early stage lung cancer Rodríguez, María Ajona, Daniel Seijo, Luis M. Sanz, Julián Valencia, Karmele Corral, Jesús Mesa-Guzmán, Miguel Pío, Rubén Calvo, Alfonso Lozano, María D. Zulueta, Javier J. Montuenga, Luis M. Transl Lung Cancer Res Review Article on Implementation of CT-based Screening of Lung Cancer Low dose computed tomography (LDCT) screening, together with the recent advances in targeted and immunotherapies, have shown to improve non-small cell lung cancer (NSCLC) survival. Furthermore, screening has increased the number of early stage-detected tumors, allowing for surgical resection and multimodality treatments when needed. The need for improved sensitivity and specificity of NSCLC screening has led to increased interest in combining clinical and radiological data with molecular data. The development of biomarkers is poised to refine inclusion criteria for LDCT screening programs. Biomarkers may also be useful to better characterize the risk of indeterminate nodules found in the course of screening or to refine prognosis and help in the management of screening detected tumors. The clinical implications of these biomarkers are still being investigated and whether or not biomarkers will be included in further decision-making algorithms in the context of screening and early lung cancer management still needs to be determined. However, it seems clear that there is much room for improvement even in early stage lung cancer disease-free survival (DFS) rates; thus, biomarkers may be the key to refine risk-stratification and treatment of these patients. Clinicians’ capacity to register, integrate, and analyze all the available data in both high risk individuals and early stage NSCLC patients will lead to a better understanding of the disease’s mechanisms, and will have a direct impact in diagnosis, treatment, and follow up of these patients. In this review, we aim to summarize all the available data regarding the role of biomarkers in LDCT screening and early stage NSCLC from a multidisciplinary perspective. We have highlighted clinical implications, the need to combine risk stratification, clinical data, radiomics, molecular information and artificial intelligence in order to improve clinical decision-making, especially regarding early diagnostics and adjuvant therapy. We also discuss current and future perspectives for biomarker implementation in routine clinical practice. AME Publishing Company 2021-02 /pmc/articles/PMC7947407/ /pubmed/33718054 http://dx.doi.org/10.21037/tlcr-20-750 Text en 2021 Translational Lung Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Review Article on Implementation of CT-based Screening of Lung Cancer Rodríguez, María Ajona, Daniel Seijo, Luis M. Sanz, Julián Valencia, Karmele Corral, Jesús Mesa-Guzmán, Miguel Pío, Rubén Calvo, Alfonso Lozano, María D. Zulueta, Javier J. Montuenga, Luis M. Molecular biomarkers in early stage lung cancer |
title | Molecular biomarkers in early stage lung cancer |
title_full | Molecular biomarkers in early stage lung cancer |
title_fullStr | Molecular biomarkers in early stage lung cancer |
title_full_unstemmed | Molecular biomarkers in early stage lung cancer |
title_short | Molecular biomarkers in early stage lung cancer |
title_sort | molecular biomarkers in early stage lung cancer |
topic | Review Article on Implementation of CT-based Screening of Lung Cancer |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947407/ https://www.ncbi.nlm.nih.gov/pubmed/33718054 http://dx.doi.org/10.21037/tlcr-20-750 |
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