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Cell-free nucleic acid patterns in disease prediction and monitoring—hype or hope?
Interest in the use of cell-free nucleic acids (CFNAs) as clinical non-invasive biomarker panels for prediction and prevention of multiple diseases has greatly increased over the last decade. Indeed, circulating CFNAs are attributable to many physiological and pathological processes such as imbalanc...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594983/ https://www.ncbi.nlm.nih.gov/pubmed/33144898 http://dx.doi.org/10.1007/s13167-020-00226-x |
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author | Crigna, Adriana Torres Samec, Marek Koklesova, Lenka Liskova, Alena Giordano, Frank A. Kubatka, Peter Golubnitschaja, Olga |
author_facet | Crigna, Adriana Torres Samec, Marek Koklesova, Lenka Liskova, Alena Giordano, Frank A. Kubatka, Peter Golubnitschaja, Olga |
author_sort | Crigna, Adriana Torres |
collection | PubMed |
description | Interest in the use of cell-free nucleic acids (CFNAs) as clinical non-invasive biomarker panels for prediction and prevention of multiple diseases has greatly increased over the last decade. Indeed, circulating CFNAs are attributable to many physiological and pathological processes such as imbalanced stress conditions, physical activities, extensive apoptosis of different origin, systemic hypoxic-ischemic events and tumour progression, amongst others. This article highlights the involvement of circulating CFNAs in local and systemic processes dealing with the question, whether specific patterns of CFNAs in blood, their detection, quantity and quality (such as their methylation status) might be instrumental to predict a disease development/progression and could be further utilised for accompanying diagnostics, targeted prevention, creation of individualised therapy algorithms, therapy monitoring and prognosis. Presented considerations conform with principles of 3P medicine and serve for improving individual outcomes and cost efficacy of medical services provided to the population. |
format | Online Article Text |
id | pubmed-7594983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-75949832020-10-30 Cell-free nucleic acid patterns in disease prediction and monitoring—hype or hope? Crigna, Adriana Torres Samec, Marek Koklesova, Lenka Liskova, Alena Giordano, Frank A. Kubatka, Peter Golubnitschaja, Olga EPMA J Review Interest in the use of cell-free nucleic acids (CFNAs) as clinical non-invasive biomarker panels for prediction and prevention of multiple diseases has greatly increased over the last decade. Indeed, circulating CFNAs are attributable to many physiological and pathological processes such as imbalanced stress conditions, physical activities, extensive apoptosis of different origin, systemic hypoxic-ischemic events and tumour progression, amongst others. This article highlights the involvement of circulating CFNAs in local and systemic processes dealing with the question, whether specific patterns of CFNAs in blood, their detection, quantity and quality (such as their methylation status) might be instrumental to predict a disease development/progression and could be further utilised for accompanying diagnostics, targeted prevention, creation of individualised therapy algorithms, therapy monitoring and prognosis. Presented considerations conform with principles of 3P medicine and serve for improving individual outcomes and cost efficacy of medical services provided to the population. Springer International Publishing 2020-10-29 /pmc/articles/PMC7594983/ /pubmed/33144898 http://dx.doi.org/10.1007/s13167-020-00226-x Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Review Crigna, Adriana Torres Samec, Marek Koklesova, Lenka Liskova, Alena Giordano, Frank A. Kubatka, Peter Golubnitschaja, Olga Cell-free nucleic acid patterns in disease prediction and monitoring—hype or hope? |
title | Cell-free nucleic acid patterns in disease prediction and monitoring—hype or hope? |
title_full | Cell-free nucleic acid patterns in disease prediction and monitoring—hype or hope? |
title_fullStr | Cell-free nucleic acid patterns in disease prediction and monitoring—hype or hope? |
title_full_unstemmed | Cell-free nucleic acid patterns in disease prediction and monitoring—hype or hope? |
title_short | Cell-free nucleic acid patterns in disease prediction and monitoring—hype or hope? |
title_sort | cell-free nucleic acid patterns in disease prediction and monitoring—hype or hope? |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594983/ https://www.ncbi.nlm.nih.gov/pubmed/33144898 http://dx.doi.org/10.1007/s13167-020-00226-x |
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