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IUSMMT: Survival mediation analysis of gene expression with multiple DNA methylation exposures and its application to cancers of TCGA

Effective and powerful survival mediation models are currently lacking. To partly fill such knowledge gap, we particularly focus on the mediation analysis that includes multiple DNA methylations acting as exposures, one gene expression as the mediator and one survival time as the outcome. We propose...

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Autores principales: Shao, Zhonghe, Wang, Ting, Zhang, Meng, Jiang, Zhou, Huang, Shuiping, Zeng, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437300/
https://www.ncbi.nlm.nih.gov/pubmed/34464378
http://dx.doi.org/10.1371/journal.pcbi.1009250
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author Shao, Zhonghe
Wang, Ting
Zhang, Meng
Jiang, Zhou
Huang, Shuiping
Zeng, Ping
author_facet Shao, Zhonghe
Wang, Ting
Zhang, Meng
Jiang, Zhou
Huang, Shuiping
Zeng, Ping
author_sort Shao, Zhonghe
collection PubMed
description Effective and powerful survival mediation models are currently lacking. To partly fill such knowledge gap, we particularly focus on the mediation analysis that includes multiple DNA methylations acting as exposures, one gene expression as the mediator and one survival time as the outcome. We proposed IUSMMT (intersection-union survival mixture-adjusted mediation test) to effectively examine the existence of mediation effect by fitting an empirical three-component mixture null distribution. With extensive simulation studies, we demonstrated the advantage of IUSMMT over existing methods. We applied IUSMMT to ten TCGA cancers and identified multiple genes that exhibited mediating effects. We further revealed that most of the identified regions, in which genes behaved as active mediators, were cancer type-specific and exhibited a full mediation from DNA methylation CpG sites to the survival risk of various types of cancers. Overall, IUSMMT represents an effective and powerful alternative for survival mediation analysis; our results also provide new insights into the functional role of DNA methylation and gene expression in cancer progression/prognosis and demonstrate potential therapeutic targets for future clinical practice.
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spelling pubmed-84373002021-09-14 IUSMMT: Survival mediation analysis of gene expression with multiple DNA methylation exposures and its application to cancers of TCGA Shao, Zhonghe Wang, Ting Zhang, Meng Jiang, Zhou Huang, Shuiping Zeng, Ping PLoS Comput Biol Research Article Effective and powerful survival mediation models are currently lacking. To partly fill such knowledge gap, we particularly focus on the mediation analysis that includes multiple DNA methylations acting as exposures, one gene expression as the mediator and one survival time as the outcome. We proposed IUSMMT (intersection-union survival mixture-adjusted mediation test) to effectively examine the existence of mediation effect by fitting an empirical three-component mixture null distribution. With extensive simulation studies, we demonstrated the advantage of IUSMMT over existing methods. We applied IUSMMT to ten TCGA cancers and identified multiple genes that exhibited mediating effects. We further revealed that most of the identified regions, in which genes behaved as active mediators, were cancer type-specific and exhibited a full mediation from DNA methylation CpG sites to the survival risk of various types of cancers. Overall, IUSMMT represents an effective and powerful alternative for survival mediation analysis; our results also provide new insights into the functional role of DNA methylation and gene expression in cancer progression/prognosis and demonstrate potential therapeutic targets for future clinical practice. Public Library of Science 2021-08-31 /pmc/articles/PMC8437300/ /pubmed/34464378 http://dx.doi.org/10.1371/journal.pcbi.1009250 Text en © 2021 Shao et al 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 use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Shao, Zhonghe
Wang, Ting
Zhang, Meng
Jiang, Zhou
Huang, Shuiping
Zeng, Ping
IUSMMT: Survival mediation analysis of gene expression with multiple DNA methylation exposures and its application to cancers of TCGA
title IUSMMT: Survival mediation analysis of gene expression with multiple DNA methylation exposures and its application to cancers of TCGA
title_full IUSMMT: Survival mediation analysis of gene expression with multiple DNA methylation exposures and its application to cancers of TCGA
title_fullStr IUSMMT: Survival mediation analysis of gene expression with multiple DNA methylation exposures and its application to cancers of TCGA
title_full_unstemmed IUSMMT: Survival mediation analysis of gene expression with multiple DNA methylation exposures and its application to cancers of TCGA
title_short IUSMMT: Survival mediation analysis of gene expression with multiple DNA methylation exposures and its application to cancers of TCGA
title_sort iusmmt: survival mediation analysis of gene expression with multiple dna methylation exposures and its application to cancers of tcga
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437300/
https://www.ncbi.nlm.nih.gov/pubmed/34464378
http://dx.doi.org/10.1371/journal.pcbi.1009250
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