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Four methylation-driven genes detected by linear discriminant analysis model from early-stage colorectal cancer and their methylation levels in cell-free DNA

The process of colorectal cancer (CRC) formation is considered a typical model of multistage carcinogenesis in which aberrant DNA methylation plays an important role. In this study, 752 methylation-driven genes (MDGs) were identified by the MethylMix package based on methylation and gene expression...

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Autores principales: Zhan, Lei, Sun, Changjian, Zhang, Yu, Zhang, Yue, Jia, Yuzhe, Wang, Xiaoyan, Li, Feifei, Li, Donglin, Wang, Shen, Yu, Tao, Zhang, Jingdong, Li, Deyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491101/
https://www.ncbi.nlm.nih.gov/pubmed/36158666
http://dx.doi.org/10.3389/fonc.2022.949244
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author Zhan, Lei
Sun, Changjian
Zhang, Yu
Zhang, Yue
Jia, Yuzhe
Wang, Xiaoyan
Li, Feifei
Li, Donglin
Wang, Shen
Yu, Tao
Zhang, Jingdong
Li, Deyang
author_facet Zhan, Lei
Sun, Changjian
Zhang, Yu
Zhang, Yue
Jia, Yuzhe
Wang, Xiaoyan
Li, Feifei
Li, Donglin
Wang, Shen
Yu, Tao
Zhang, Jingdong
Li, Deyang
author_sort Zhan, Lei
collection PubMed
description The process of colorectal cancer (CRC) formation is considered a typical model of multistage carcinogenesis in which aberrant DNA methylation plays an important role. In this study, 752 methylation-driven genes (MDGs) were identified by the MethylMix package based on methylation and gene expression data of CRC in The Cancer Genome Atlas (TCGA). Iterative recursive feature elimination (iRFE) based on linear discriminant analysis (LDA) was used to determine the minimum MDGs (iRFE MDGs), which could distinguish between cancer and cancer-adjacent tissues. Further analysis indicated that the changes in methylation levels of the four iRFE MDGs, ADHFE1-Cluster1, CNRIP1-Cluster1, MAFB, and TNS4, occurred in adenoma tissues, while changes did not occur until stage IV in cell-free DNA. Furthermore, the methylation levels of iRFE MDGs were correlated with the genes involved in the reprogramming process of somatic cells to pluripotent stem cells, which is considered the common signature of cancer cells and embryonic stem cells. The above results indicated that the four iRFE MDGs may play roles in the early stage of colorectal carcinogenesis and highlighted the complicated relationship between tissue DNA and cell-free DNA (cfDNA).
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spelling pubmed-94911012022-09-22 Four methylation-driven genes detected by linear discriminant analysis model from early-stage colorectal cancer and their methylation levels in cell-free DNA Zhan, Lei Sun, Changjian Zhang, Yu Zhang, Yue Jia, Yuzhe Wang, Xiaoyan Li, Feifei Li, Donglin Wang, Shen Yu, Tao Zhang, Jingdong Li, Deyang Front Oncol Oncology The process of colorectal cancer (CRC) formation is considered a typical model of multistage carcinogenesis in which aberrant DNA methylation plays an important role. In this study, 752 methylation-driven genes (MDGs) were identified by the MethylMix package based on methylation and gene expression data of CRC in The Cancer Genome Atlas (TCGA). Iterative recursive feature elimination (iRFE) based on linear discriminant analysis (LDA) was used to determine the minimum MDGs (iRFE MDGs), which could distinguish between cancer and cancer-adjacent tissues. Further analysis indicated that the changes in methylation levels of the four iRFE MDGs, ADHFE1-Cluster1, CNRIP1-Cluster1, MAFB, and TNS4, occurred in adenoma tissues, while changes did not occur until stage IV in cell-free DNA. Furthermore, the methylation levels of iRFE MDGs were correlated with the genes involved in the reprogramming process of somatic cells to pluripotent stem cells, which is considered the common signature of cancer cells and embryonic stem cells. The above results indicated that the four iRFE MDGs may play roles in the early stage of colorectal carcinogenesis and highlighted the complicated relationship between tissue DNA and cell-free DNA (cfDNA). Frontiers Media S.A. 2022-09-05 /pmc/articles/PMC9491101/ /pubmed/36158666 http://dx.doi.org/10.3389/fonc.2022.949244 Text en Copyright © 2022 Zhan, Sun, Zhang, Zhang, Jia, Wang, Li, Li, Wang, Yu, Zhang and Li https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Zhan, Lei
Sun, Changjian
Zhang, Yu
Zhang, Yue
Jia, Yuzhe
Wang, Xiaoyan
Li, Feifei
Li, Donglin
Wang, Shen
Yu, Tao
Zhang, Jingdong
Li, Deyang
Four methylation-driven genes detected by linear discriminant analysis model from early-stage colorectal cancer and their methylation levels in cell-free DNA
title Four methylation-driven genes detected by linear discriminant analysis model from early-stage colorectal cancer and their methylation levels in cell-free DNA
title_full Four methylation-driven genes detected by linear discriminant analysis model from early-stage colorectal cancer and their methylation levels in cell-free DNA
title_fullStr Four methylation-driven genes detected by linear discriminant analysis model from early-stage colorectal cancer and their methylation levels in cell-free DNA
title_full_unstemmed Four methylation-driven genes detected by linear discriminant analysis model from early-stage colorectal cancer and their methylation levels in cell-free DNA
title_short Four methylation-driven genes detected by linear discriminant analysis model from early-stage colorectal cancer and their methylation levels in cell-free DNA
title_sort four methylation-driven genes detected by linear discriminant analysis model from early-stage colorectal cancer and their methylation levels in cell-free dna
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9491101/
https://www.ncbi.nlm.nih.gov/pubmed/36158666
http://dx.doi.org/10.3389/fonc.2022.949244
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