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From Omic Layers to Personalized Medicine in Colorectal Cancer: The Road Ahead
Colorectal cancer is a major health concern since it is a highly diagnosed cancer and the second cause of death among cancers. Thus, the most suitable biomarkers for its diagnosis, prognosis, and treatment have been studied to improve and personalize the prevention and clinical management of colorec...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10379575/ https://www.ncbi.nlm.nih.gov/pubmed/37510334 http://dx.doi.org/10.3390/genes14071430 |
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author | Romero-Garmendia, Irati Garcia-Etxebarria, Koldo |
author_facet | Romero-Garmendia, Irati Garcia-Etxebarria, Koldo |
author_sort | Romero-Garmendia, Irati |
collection | PubMed |
description | Colorectal cancer is a major health concern since it is a highly diagnosed cancer and the second cause of death among cancers. Thus, the most suitable biomarkers for its diagnosis, prognosis, and treatment have been studied to improve and personalize the prevention and clinical management of colorectal cancer. The emergence of omic techniques has provided a great opportunity to better study CRC and make personalized medicine feasible. In this review, we will try to summarize how the analysis of the omic layers can be useful for personalized medicine and the existing difficulties. We will discuss how single and multiple omic layer analyses have been used to improve the prediction of the risk of CRC and its outcomes and how to overcome the challenges in the use of omic layers in personalized medicine. |
format | Online Article Text |
id | pubmed-10379575 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103795752023-07-29 From Omic Layers to Personalized Medicine in Colorectal Cancer: The Road Ahead Romero-Garmendia, Irati Garcia-Etxebarria, Koldo Genes (Basel) Review Colorectal cancer is a major health concern since it is a highly diagnosed cancer and the second cause of death among cancers. Thus, the most suitable biomarkers for its diagnosis, prognosis, and treatment have been studied to improve and personalize the prevention and clinical management of colorectal cancer. The emergence of omic techniques has provided a great opportunity to better study CRC and make personalized medicine feasible. In this review, we will try to summarize how the analysis of the omic layers can be useful for personalized medicine and the existing difficulties. We will discuss how single and multiple omic layer analyses have been used to improve the prediction of the risk of CRC and its outcomes and how to overcome the challenges in the use of omic layers in personalized medicine. MDPI 2023-07-11 /pmc/articles/PMC10379575/ /pubmed/37510334 http://dx.doi.org/10.3390/genes14071430 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Romero-Garmendia, Irati Garcia-Etxebarria, Koldo From Omic Layers to Personalized Medicine in Colorectal Cancer: The Road Ahead |
title | From Omic Layers to Personalized Medicine in Colorectal Cancer: The Road Ahead |
title_full | From Omic Layers to Personalized Medicine in Colorectal Cancer: The Road Ahead |
title_fullStr | From Omic Layers to Personalized Medicine in Colorectal Cancer: The Road Ahead |
title_full_unstemmed | From Omic Layers to Personalized Medicine in Colorectal Cancer: The Road Ahead |
title_short | From Omic Layers to Personalized Medicine in Colorectal Cancer: The Road Ahead |
title_sort | from omic layers to personalized medicine in colorectal cancer: the road ahead |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10379575/ https://www.ncbi.nlm.nih.gov/pubmed/37510334 http://dx.doi.org/10.3390/genes14071430 |
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