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Detection of colorectal cancer in urine using DNA methylation analysis
Colorectal cancer (CRC) is the second leading cause for cancer-related death globally. Clinically, there is an urgent need for non-invasive CRC detection. This study assessed the feasibility of CRC detection by analysis of tumor-derived methylated DNA fragments in urine. Urine samples, including bot...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840909/ https://www.ncbi.nlm.nih.gov/pubmed/33504902 http://dx.doi.org/10.1038/s41598-021-81900-6 |
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author | Bach, S. Paulis, I. Sluiter, N. R. Tibbesma, M. Martin, I. van de Wiel, M. A. Tuynman, J. B. Bahce, I. Kazemier, G. Steenbergen, R. D. M. |
author_facet | Bach, S. Paulis, I. Sluiter, N. R. Tibbesma, M. Martin, I. van de Wiel, M. A. Tuynman, J. B. Bahce, I. Kazemier, G. Steenbergen, R. D. M. |
author_sort | Bach, S. |
collection | PubMed |
description | Colorectal cancer (CRC) is the second leading cause for cancer-related death globally. Clinically, there is an urgent need for non-invasive CRC detection. This study assessed the feasibility of CRC detection by analysis of tumor-derived methylated DNA fragments in urine. Urine samples, including both unfractioned and supernatant urine fractions, of 92 CRC patients and 63 healthy volunteers were analyzed for DNA methylation levels of 6 CRC-associated markers (SEPT9, TMEFF2, SDC2, NDRG4, VIM and ALX4). Optimal marker panels were determined by two statistical approaches. Methylation levels of SEPT9 were significantly increased in urine supernatant of CRC patients compared to controls (p < 0.0001). Methylation analysis in unfractioned urine appeared inaccurate. Following multivariate logistic regression and classification and regression tree analysis, a marker panel consisting of SEPT9 and SDC2 was able to detect up to 70% of CRC cases in urine supernatant at 86% specificity. First evidence is provided for CRC detection in urine by SEPT9 methylation analysis, which combined with SDC2 allows for an optimal differentiation between CRC patients and controls. Urine therefore provides a promising liquid biopsy for non-invasive CRC detection. |
format | Online Article Text |
id | pubmed-7840909 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78409092021-01-28 Detection of colorectal cancer in urine using DNA methylation analysis Bach, S. Paulis, I. Sluiter, N. R. Tibbesma, M. Martin, I. van de Wiel, M. A. Tuynman, J. B. Bahce, I. Kazemier, G. Steenbergen, R. D. M. Sci Rep Article Colorectal cancer (CRC) is the second leading cause for cancer-related death globally. Clinically, there is an urgent need for non-invasive CRC detection. This study assessed the feasibility of CRC detection by analysis of tumor-derived methylated DNA fragments in urine. Urine samples, including both unfractioned and supernatant urine fractions, of 92 CRC patients and 63 healthy volunteers were analyzed for DNA methylation levels of 6 CRC-associated markers (SEPT9, TMEFF2, SDC2, NDRG4, VIM and ALX4). Optimal marker panels were determined by two statistical approaches. Methylation levels of SEPT9 were significantly increased in urine supernatant of CRC patients compared to controls (p < 0.0001). Methylation analysis in unfractioned urine appeared inaccurate. Following multivariate logistic regression and classification and regression tree analysis, a marker panel consisting of SEPT9 and SDC2 was able to detect up to 70% of CRC cases in urine supernatant at 86% specificity. First evidence is provided for CRC detection in urine by SEPT9 methylation analysis, which combined with SDC2 allows for an optimal differentiation between CRC patients and controls. Urine therefore provides a promising liquid biopsy for non-invasive CRC detection. Nature Publishing Group UK 2021-01-27 /pmc/articles/PMC7840909/ /pubmed/33504902 http://dx.doi.org/10.1038/s41598-021-81900-6 Text en © The Author(s) 2021 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 | Article Bach, S. Paulis, I. Sluiter, N. R. Tibbesma, M. Martin, I. van de Wiel, M. A. Tuynman, J. B. Bahce, I. Kazemier, G. Steenbergen, R. D. M. Detection of colorectal cancer in urine using DNA methylation analysis |
title | Detection of colorectal cancer in urine using DNA methylation analysis |
title_full | Detection of colorectal cancer in urine using DNA methylation analysis |
title_fullStr | Detection of colorectal cancer in urine using DNA methylation analysis |
title_full_unstemmed | Detection of colorectal cancer in urine using DNA methylation analysis |
title_short | Detection of colorectal cancer in urine using DNA methylation analysis |
title_sort | detection of colorectal cancer in urine using dna methylation analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840909/ https://www.ncbi.nlm.nih.gov/pubmed/33504902 http://dx.doi.org/10.1038/s41598-021-81900-6 |
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