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Deciphering the etiology and role in oncogenic transformation of the CpG island methylator phenotype: a pan-cancer analysis

Numerous cancer types have shown to present hypermethylation of CpG islands, also known as a CpG island methylator phenotype (CIMP), often associated with survival variation. Despite extensive research on CIMP, the etiology of this variability remains elusive, possibly due to lack of consistency in...

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Autores principales: Yates, Josephine, Boeva, Valentina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921629/
https://www.ncbi.nlm.nih.gov/pubmed/35134107
http://dx.doi.org/10.1093/bib/bbab610
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author Yates, Josephine
Boeva, Valentina
author_facet Yates, Josephine
Boeva, Valentina
author_sort Yates, Josephine
collection PubMed
description Numerous cancer types have shown to present hypermethylation of CpG islands, also known as a CpG island methylator phenotype (CIMP), often associated with survival variation. Despite extensive research on CIMP, the etiology of this variability remains elusive, possibly due to lack of consistency in defining CIMP. In this work, we utilize a pan-cancer approach to further explore CIMP, focusing on 26 cancer types profiled in the Cancer Genome Atlas (TCGA). We defined CIMP systematically and agnostically, discarding any effects associated with age, gender or tumor purity. We then clustered samples based on their most variable DNA methylation values and analyzed resulting patient groups. Our results confirmed the existence of CIMP in 19 cancers, including gliomas and colorectal cancer. We further showed that CIMP was associated with survival differences in eight cancer types and, in five, represented a prognostic biomarker independent of clinical factors. By analyzing genetic and transcriptomic data, we further uncovered potential drivers of CIMP and classified them in four categories: mutations in genes directly involved in DNA demethylation; mutations in histone methyltransferases; mutations in genes not involved in methylation turnover, such as KRAS and BRAF; and microsatellite instability. Among the 19 CIMP-positive cancers, very few shared potential driver events, and those drivers were only IDH1 and SETD2 mutations. Finally, we found that CIMP was strongly correlated with tumor microenvironment characteristics, such as lymphocyte infiltration. Overall, our results indicate that CIMP does not exhibit a pan-cancer manifestation; rather, general dysregulation of CpG DNA methylation is caused by heterogeneous mechanisms.
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spelling pubmed-89216292022-03-15 Deciphering the etiology and role in oncogenic transformation of the CpG island methylator phenotype: a pan-cancer analysis Yates, Josephine Boeva, Valentina Brief Bioinform Case Study Numerous cancer types have shown to present hypermethylation of CpG islands, also known as a CpG island methylator phenotype (CIMP), often associated with survival variation. Despite extensive research on CIMP, the etiology of this variability remains elusive, possibly due to lack of consistency in defining CIMP. In this work, we utilize a pan-cancer approach to further explore CIMP, focusing on 26 cancer types profiled in the Cancer Genome Atlas (TCGA). We defined CIMP systematically and agnostically, discarding any effects associated with age, gender or tumor purity. We then clustered samples based on their most variable DNA methylation values and analyzed resulting patient groups. Our results confirmed the existence of CIMP in 19 cancers, including gliomas and colorectal cancer. We further showed that CIMP was associated with survival differences in eight cancer types and, in five, represented a prognostic biomarker independent of clinical factors. By analyzing genetic and transcriptomic data, we further uncovered potential drivers of CIMP and classified them in four categories: mutations in genes directly involved in DNA demethylation; mutations in histone methyltransferases; mutations in genes not involved in methylation turnover, such as KRAS and BRAF; and microsatellite instability. Among the 19 CIMP-positive cancers, very few shared potential driver events, and those drivers were only IDH1 and SETD2 mutations. Finally, we found that CIMP was strongly correlated with tumor microenvironment characteristics, such as lymphocyte infiltration. Overall, our results indicate that CIMP does not exhibit a pan-cancer manifestation; rather, general dysregulation of CpG DNA methylation is caused by heterogeneous mechanisms. Oxford University Press 2022-02-02 /pmc/articles/PMC8921629/ /pubmed/35134107 http://dx.doi.org/10.1093/bib/bbab610 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Case Study
Yates, Josephine
Boeva, Valentina
Deciphering the etiology and role in oncogenic transformation of the CpG island methylator phenotype: a pan-cancer analysis
title Deciphering the etiology and role in oncogenic transformation of the CpG island methylator phenotype: a pan-cancer analysis
title_full Deciphering the etiology and role in oncogenic transformation of the CpG island methylator phenotype: a pan-cancer analysis
title_fullStr Deciphering the etiology and role in oncogenic transformation of the CpG island methylator phenotype: a pan-cancer analysis
title_full_unstemmed Deciphering the etiology and role in oncogenic transformation of the CpG island methylator phenotype: a pan-cancer analysis
title_short Deciphering the etiology and role in oncogenic transformation of the CpG island methylator phenotype: a pan-cancer analysis
title_sort deciphering the etiology and role in oncogenic transformation of the cpg island methylator phenotype: a pan-cancer analysis
topic Case Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921629/
https://www.ncbi.nlm.nih.gov/pubmed/35134107
http://dx.doi.org/10.1093/bib/bbab610
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