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Colorectal cancer DNA methylation marker panel validated with high performance in Non-Hodgkin lymphoma
Genes with altered DNA methylation can be used as biomarkers for cancer detection and assessment of prognosis. Here we analyzed the methylation status of a colorectal cancer biomarker panel (CNRIP1, FBN1, INA, MAL, SNCA, and SPG20) in 97 cancer cell lines, derived from 17 different cancer types. Int...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Landes Bioscience
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053461/ https://www.ncbi.nlm.nih.gov/pubmed/24362313 http://dx.doi.org/10.4161/epi.27554 |
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author | Bethge, Nicole Lothe, Ragnhild A Honne, Hilde Andresen, Kim Trøen, Gunhild Eknæs, Mette Liestøl, Knut Holte, Harald Delabie, Jan Smeland, Erlend B Lind, Guro E |
author_facet | Bethge, Nicole Lothe, Ragnhild A Honne, Hilde Andresen, Kim Trøen, Gunhild Eknæs, Mette Liestøl, Knut Holte, Harald Delabie, Jan Smeland, Erlend B Lind, Guro E |
author_sort | Bethge, Nicole |
collection | PubMed |
description | Genes with altered DNA methylation can be used as biomarkers for cancer detection and assessment of prognosis. Here we analyzed the methylation status of a colorectal cancer biomarker panel (CNRIP1, FBN1, INA, MAL, SNCA, and SPG20) in 97 cancer cell lines, derived from 17 different cancer types. Interestingly, the genes were frequently methylated also in hematological cancer types and were therefore subjected to analyses in primary tumor samples from the major types of non-Hodgkin lymphomas (NHL) and in healthy controls. In total, the genes CNRIP1, FBN1, INA, MAL, SNCA, and SPG20 were methylated in 53%, 23%, 52%, 69%, 97%, and 92% of the tumor samples, respectively, and were unmethylated in all healthy controls. With the exception of a single tumor sample, a correct prediction of lymphoma or normal sample was made in a blinded analysis of the validation series using a combination of SNCA and SPG20. The combined ROC-curve analysis of these genes resulted in an area under the curve of 0.999 (P = 4.2 × 10(−18)), and a sensitivity and specificity of 98% and 100%, respectively, across the test and validation series. Interestingly, the promoter methylation of CNRIP1 was associated with decreased overall survival in diffuse large B-cell lymphoma (DLBCL) (P = 0.03). In conclusion, our results demonstrate that SNCA and SPG20 methylation might be suitable for early detection and monitoring of NHL. Furthermore, CNRIP1 could potentially be used as a prognostic factor in DLBCL. |
format | Online Article Text |
id | pubmed-4053461 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Landes Bioscience |
record_format | MEDLINE/PubMed |
spelling | pubmed-40534612014-06-12 Colorectal cancer DNA methylation marker panel validated with high performance in Non-Hodgkin lymphoma Bethge, Nicole Lothe, Ragnhild A Honne, Hilde Andresen, Kim Trøen, Gunhild Eknæs, Mette Liestøl, Knut Holte, Harald Delabie, Jan Smeland, Erlend B Lind, Guro E Epigenetics Research Paper Genes with altered DNA methylation can be used as biomarkers for cancer detection and assessment of prognosis. Here we analyzed the methylation status of a colorectal cancer biomarker panel (CNRIP1, FBN1, INA, MAL, SNCA, and SPG20) in 97 cancer cell lines, derived from 17 different cancer types. Interestingly, the genes were frequently methylated also in hematological cancer types and were therefore subjected to analyses in primary tumor samples from the major types of non-Hodgkin lymphomas (NHL) and in healthy controls. In total, the genes CNRIP1, FBN1, INA, MAL, SNCA, and SPG20 were methylated in 53%, 23%, 52%, 69%, 97%, and 92% of the tumor samples, respectively, and were unmethylated in all healthy controls. With the exception of a single tumor sample, a correct prediction of lymphoma or normal sample was made in a blinded analysis of the validation series using a combination of SNCA and SPG20. The combined ROC-curve analysis of these genes resulted in an area under the curve of 0.999 (P = 4.2 × 10(−18)), and a sensitivity and specificity of 98% and 100%, respectively, across the test and validation series. Interestingly, the promoter methylation of CNRIP1 was associated with decreased overall survival in diffuse large B-cell lymphoma (DLBCL) (P = 0.03). In conclusion, our results demonstrate that SNCA and SPG20 methylation might be suitable for early detection and monitoring of NHL. Furthermore, CNRIP1 could potentially be used as a prognostic factor in DLBCL. Landes Bioscience 2014-03-01 2013-12-20 /pmc/articles/PMC4053461/ /pubmed/24362313 http://dx.doi.org/10.4161/epi.27554 Text en Copyright © 2014 Landes Bioscience http://creativecommons.org/licenses/by-nc/3.0/ This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited. |
spellingShingle | Research Paper Bethge, Nicole Lothe, Ragnhild A Honne, Hilde Andresen, Kim Trøen, Gunhild Eknæs, Mette Liestøl, Knut Holte, Harald Delabie, Jan Smeland, Erlend B Lind, Guro E Colorectal cancer DNA methylation marker panel validated with high performance in Non-Hodgkin lymphoma |
title | Colorectal cancer DNA methylation marker panel validated with high performance in Non-Hodgkin lymphoma |
title_full | Colorectal cancer DNA methylation marker panel validated with high performance in Non-Hodgkin lymphoma |
title_fullStr | Colorectal cancer DNA methylation marker panel validated with high performance in Non-Hodgkin lymphoma |
title_full_unstemmed | Colorectal cancer DNA methylation marker panel validated with high performance in Non-Hodgkin lymphoma |
title_short | Colorectal cancer DNA methylation marker panel validated with high performance in Non-Hodgkin lymphoma |
title_sort | colorectal cancer dna methylation marker panel validated with high performance in non-hodgkin lymphoma |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053461/ https://www.ncbi.nlm.nih.gov/pubmed/24362313 http://dx.doi.org/10.4161/epi.27554 |
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