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An integrated epigenomic-transcriptomic landscape of lung cancer reveals novel methylation driver genes of diagnostic and therapeutic relevance

Background: Aberrant DNA methylation occurs commonly during carcinogenesis and is of clinical value in human cancers. However, knowledge of the impact of DNA methylation changes on lung carcinogenesis and progression remains limited. Methods: Genome-wide DNA methylation profiles were surveyed in 18...

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Autores principales: Sun, Xiwei, Yi, Jiani, Yang, Juze, Han, Yi, Qian, Xinyi, Liu, Yi, Li, Jia, Lu, Bingjian, Zhang, Jisong, Pan, Xiaoqing, Liu, Yong, Liang, Mingyu, Chen, Enguo, Liu, Pengyuan, Lu, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8039961/
https://www.ncbi.nlm.nih.gov/pubmed/33859751
http://dx.doi.org/10.7150/thno.58385
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author Sun, Xiwei
Yi, Jiani
Yang, Juze
Han, Yi
Qian, Xinyi
Liu, Yi
Li, Jia
Lu, Bingjian
Zhang, Jisong
Pan, Xiaoqing
Liu, Yong
Liang, Mingyu
Chen, Enguo
Liu, Pengyuan
Lu, Yan
author_facet Sun, Xiwei
Yi, Jiani
Yang, Juze
Han, Yi
Qian, Xinyi
Liu, Yi
Li, Jia
Lu, Bingjian
Zhang, Jisong
Pan, Xiaoqing
Liu, Yong
Liang, Mingyu
Chen, Enguo
Liu, Pengyuan
Lu, Yan
author_sort Sun, Xiwei
collection PubMed
description Background: Aberrant DNA methylation occurs commonly during carcinogenesis and is of clinical value in human cancers. However, knowledge of the impact of DNA methylation changes on lung carcinogenesis and progression remains limited. Methods: Genome-wide DNA methylation profiles were surveyed in 18 pairs of tumors and adjacent normal tissues from non-small cell lung cancer (NSCLC) patients using Reduced Representation Bisulfite Sequencing (RRBS). An integrated epigenomic-transcriptomic landscape of lung cancer was depicted using the multi-omics data integration method. Results: We discovered a large number of hypermethylation events pre-marked by poised promoter in embryonic stem cells, being a hallmark of lung cancer. These hypermethylation events showed a high conservation across cancer types. Eight novel driver genes with aberrant methylation (e.g., PCDH17 and IRX1) were identified by integrated analysis of DNA methylome and transcriptome data. Methylation level of the eight genes measured by pyrosequencing can distinguish NSCLC patients from lung tissues with high sensitivity and specificity in an independent cohort. Their tumor-suppressive roles were further experimentally validated in lung cancer cells, which depend on promoter hypermethylation. Similarly, 13 methylation-driven ncRNAs (including 8 lncRNAs and 5 miRNAs) were identified, some of which were co-regulated with their host genes by the same promoter hypermethylation. Finally, by analyzing the transcription factor (TF) binding motifs, we uncovered sets of TFs driving the expression of epigenetically regulated genes and highlighted the epigenetic regulation of gene expression of TCF21 through DNA methylation of EGR1 binding motifs. Conclusions: We discovered several novel methylation driver genes of diagnostic and therapeutic relevance in lung cancer. Our findings revealed that DNA methylation in TF binding motifs regulates target gene expression by affecting the binding ability of TFs. Our study also provides a valuable epigenetic resource for identifying DNA methylation-based diagnostic biomarkers, developing cancer drugs for epigenetic therapy and studying cancer pathogenesis.
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spelling pubmed-80399612021-04-14 An integrated epigenomic-transcriptomic landscape of lung cancer reveals novel methylation driver genes of diagnostic and therapeutic relevance Sun, Xiwei Yi, Jiani Yang, Juze Han, Yi Qian, Xinyi Liu, Yi Li, Jia Lu, Bingjian Zhang, Jisong Pan, Xiaoqing Liu, Yong Liang, Mingyu Chen, Enguo Liu, Pengyuan Lu, Yan Theranostics Research Paper Background: Aberrant DNA methylation occurs commonly during carcinogenesis and is of clinical value in human cancers. However, knowledge of the impact of DNA methylation changes on lung carcinogenesis and progression remains limited. Methods: Genome-wide DNA methylation profiles were surveyed in 18 pairs of tumors and adjacent normal tissues from non-small cell lung cancer (NSCLC) patients using Reduced Representation Bisulfite Sequencing (RRBS). An integrated epigenomic-transcriptomic landscape of lung cancer was depicted using the multi-omics data integration method. Results: We discovered a large number of hypermethylation events pre-marked by poised promoter in embryonic stem cells, being a hallmark of lung cancer. These hypermethylation events showed a high conservation across cancer types. Eight novel driver genes with aberrant methylation (e.g., PCDH17 and IRX1) were identified by integrated analysis of DNA methylome and transcriptome data. Methylation level of the eight genes measured by pyrosequencing can distinguish NSCLC patients from lung tissues with high sensitivity and specificity in an independent cohort. Their tumor-suppressive roles were further experimentally validated in lung cancer cells, which depend on promoter hypermethylation. Similarly, 13 methylation-driven ncRNAs (including 8 lncRNAs and 5 miRNAs) were identified, some of which were co-regulated with their host genes by the same promoter hypermethylation. Finally, by analyzing the transcription factor (TF) binding motifs, we uncovered sets of TFs driving the expression of epigenetically regulated genes and highlighted the epigenetic regulation of gene expression of TCF21 through DNA methylation of EGR1 binding motifs. Conclusions: We discovered several novel methylation driver genes of diagnostic and therapeutic relevance in lung cancer. Our findings revealed that DNA methylation in TF binding motifs regulates target gene expression by affecting the binding ability of TFs. Our study also provides a valuable epigenetic resource for identifying DNA methylation-based diagnostic biomarkers, developing cancer drugs for epigenetic therapy and studying cancer pathogenesis. Ivyspring International Publisher 2021-03-11 /pmc/articles/PMC8039961/ /pubmed/33859751 http://dx.doi.org/10.7150/thno.58385 Text en © The author(s) 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/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Sun, Xiwei
Yi, Jiani
Yang, Juze
Han, Yi
Qian, Xinyi
Liu, Yi
Li, Jia
Lu, Bingjian
Zhang, Jisong
Pan, Xiaoqing
Liu, Yong
Liang, Mingyu
Chen, Enguo
Liu, Pengyuan
Lu, Yan
An integrated epigenomic-transcriptomic landscape of lung cancer reveals novel methylation driver genes of diagnostic and therapeutic relevance
title An integrated epigenomic-transcriptomic landscape of lung cancer reveals novel methylation driver genes of diagnostic and therapeutic relevance
title_full An integrated epigenomic-transcriptomic landscape of lung cancer reveals novel methylation driver genes of diagnostic and therapeutic relevance
title_fullStr An integrated epigenomic-transcriptomic landscape of lung cancer reveals novel methylation driver genes of diagnostic and therapeutic relevance
title_full_unstemmed An integrated epigenomic-transcriptomic landscape of lung cancer reveals novel methylation driver genes of diagnostic and therapeutic relevance
title_short An integrated epigenomic-transcriptomic landscape of lung cancer reveals novel methylation driver genes of diagnostic and therapeutic relevance
title_sort integrated epigenomic-transcriptomic landscape of lung cancer reveals novel methylation driver genes of diagnostic and therapeutic relevance
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8039961/
https://www.ncbi.nlm.nih.gov/pubmed/33859751
http://dx.doi.org/10.7150/thno.58385
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