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Identification of colorectal cancer associated biomarkers: an integrated analysis of miRNA expression

Colorectal cancer is one of the leading causes of cancer-related deaths worldwide. This complex disease still holds severe problems concerning diagnosis due to the high invasiveness nature of colonoscopy and the low accuracy of the alternative diagnostic methods. Additionally, patient heterogeneity...

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Autores principales: Fonseca, André, Ramalhete, Sara Ventura, Mestre, André, Pires das Neves, Ricardo, Marreiros, Ana, Castelo-Branco, Pedro, Roberto, Vânia Palma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507258/
https://www.ncbi.nlm.nih.gov/pubmed/34547721
http://dx.doi.org/10.18632/aging.203556
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author Fonseca, André
Ramalhete, Sara Ventura
Mestre, André
Pires das Neves, Ricardo
Marreiros, Ana
Castelo-Branco, Pedro
Roberto, Vânia Palma
author_facet Fonseca, André
Ramalhete, Sara Ventura
Mestre, André
Pires das Neves, Ricardo
Marreiros, Ana
Castelo-Branco, Pedro
Roberto, Vânia Palma
author_sort Fonseca, André
collection PubMed
description Colorectal cancer is one of the leading causes of cancer-related deaths worldwide. This complex disease still holds severe problems concerning diagnosis due to the high invasiveness nature of colonoscopy and the low accuracy of the alternative diagnostic methods. Additionally, patient heterogeneity even within the same stage is not properly reflected in the current stratification system. This scenario highlights the need for new biomarkers to improve non-invasive screenings and clinical management of patients. MicroRNAs (miRNAs) have emerged as good candidate biomarkers in cancer as they are stable molecules, easily measurable and detected in body fluids thus allowing for non-invasive diagnosis and/or prognosis. In this study, we performed an integrated analysis first using 4 different datasets (discovery cohorts) to identify miRNAs associated with colorectal cancer development, unveil their role in this disease by identifying putative targets and regulatory networks and investigate their ability to serve as biomarkers. We have identified 26 differentially expressed miRNAs which interact with frequently deregulated genes known to participate in commonly altered pathways in colorectal cancer. Most of these miRNAs have high diagnostic power, and their prognostic potential is evidenced by panels of 5 miRNAs able to predict the outcome of stage II and III colorectal cancer patients. Notably, 8 miRNAs were validated in three additional independent cohorts (validation cohorts) including a plasma cohort thus reinforcing the value of miRNAs as non-invasive biomarkers.
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spelling pubmed-85072582021-10-14 Identification of colorectal cancer associated biomarkers: an integrated analysis of miRNA expression Fonseca, André Ramalhete, Sara Ventura Mestre, André Pires das Neves, Ricardo Marreiros, Ana Castelo-Branco, Pedro Roberto, Vânia Palma Aging (Albany NY) Research Paper Colorectal cancer is one of the leading causes of cancer-related deaths worldwide. This complex disease still holds severe problems concerning diagnosis due to the high invasiveness nature of colonoscopy and the low accuracy of the alternative diagnostic methods. Additionally, patient heterogeneity even within the same stage is not properly reflected in the current stratification system. This scenario highlights the need for new biomarkers to improve non-invasive screenings and clinical management of patients. MicroRNAs (miRNAs) have emerged as good candidate biomarkers in cancer as they are stable molecules, easily measurable and detected in body fluids thus allowing for non-invasive diagnosis and/or prognosis. In this study, we performed an integrated analysis first using 4 different datasets (discovery cohorts) to identify miRNAs associated with colorectal cancer development, unveil their role in this disease by identifying putative targets and regulatory networks and investigate their ability to serve as biomarkers. We have identified 26 differentially expressed miRNAs which interact with frequently deregulated genes known to participate in commonly altered pathways in colorectal cancer. Most of these miRNAs have high diagnostic power, and their prognostic potential is evidenced by panels of 5 miRNAs able to predict the outcome of stage II and III colorectal cancer patients. Notably, 8 miRNAs were validated in three additional independent cohorts (validation cohorts) including a plasma cohort thus reinforcing the value of miRNAs as non-invasive biomarkers. Impact Journals 2021-09-21 /pmc/articles/PMC8507258/ /pubmed/34547721 http://dx.doi.org/10.18632/aging.203556 Text en Copyright: © 2021 Fonseca et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/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
Fonseca, André
Ramalhete, Sara Ventura
Mestre, André
Pires das Neves, Ricardo
Marreiros, Ana
Castelo-Branco, Pedro
Roberto, Vânia Palma
Identification of colorectal cancer associated biomarkers: an integrated analysis of miRNA expression
title Identification of colorectal cancer associated biomarkers: an integrated analysis of miRNA expression
title_full Identification of colorectal cancer associated biomarkers: an integrated analysis of miRNA expression
title_fullStr Identification of colorectal cancer associated biomarkers: an integrated analysis of miRNA expression
title_full_unstemmed Identification of colorectal cancer associated biomarkers: an integrated analysis of miRNA expression
title_short Identification of colorectal cancer associated biomarkers: an integrated analysis of miRNA expression
title_sort identification of colorectal cancer associated biomarkers: an integrated analysis of mirna expression
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507258/
https://www.ncbi.nlm.nih.gov/pubmed/34547721
http://dx.doi.org/10.18632/aging.203556
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