Screening Dys-Methylation Genes and Rules for Cancer Diagnosis by Using the Pan-Cancer Study

Although cancer has long been a major public health problem worldwide, conquering cancer still remains unachievable due to its complexity and diversity. With the development of high-throughput sequencing technologies, the combination of conventional clinical symptoms and new genetic events is becomi...

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Main Authors: Yu-Hang Zhang, Tao Zeng, Xiaoyong Pan, Wei Guo, Zijun Gan, Yunhua Zhang, Tao Huang, Yu-Dong Cai
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8938693/
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author Yu-Hang Zhang
Tao Zeng
Xiaoyong Pan
Wei Guo
Zijun Gan
Yunhua Zhang
Tao Huang
Yu-Dong Cai
author_facet Yu-Hang Zhang
Tao Zeng
Xiaoyong Pan
Wei Guo
Zijun Gan
Yunhua Zhang
Tao Huang
Yu-Dong Cai
author_sort Yu-Hang Zhang
collection DOAJ
description Although cancer has long been a major public health problem worldwide, conquering cancer still remains unachievable due to its complexity and diversity. With the development of high-throughput sequencing technologies, the combination of conventional clinical symptoms and new genetic events is becoming effective and has been approved for precise prediction and innovative diagnostic strategies. Epigenetic modification (e.g., DNA methylation) is an important mechanism of transcriptional control in normal or disease functions. Depending on the unique methylation profiles, an important possibility raised is that the characteristic of dys-methylation could provide a new molecular marker system for the identification of the major forms of tumors. In this study, we attempted to distinguish different tumor types. On the basis of DNA methylation data from PanCanAtlas in The Cancer Genome Atlas, we applied mRMR and MCFS methods together to identify the decision rules for distinguishing 33 different tumor types and ranked the features that characterized methylation level. This study highlights the considerable application potential of methylation features in cancer diagnosis and provides insight into novel therapeutic targets.
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spelling doaj.art-72ea7395cccd42c2ac963d4d48d463932022-12-21T19:59:39ZengIEEEIEEE Access2169-35362020-01-01848950110.1109/ACCESS.2019.29614028938693Screening Dys-Methylation Genes and Rules for Cancer Diagnosis by Using the Pan-Cancer StudyYu-Hang Zhang0https://orcid.org/0000-0003-3825-0796Tao Zeng1https://orcid.org/0000-0002-0295-3994Xiaoyong Pan2https://orcid.org/0000-0001-5010-464XWei Guo3https://orcid.org/0000-0001-5294-5047Zijun Gan4https://orcid.org/0000-0002-4110-897XYunhua Zhang5Tao Huang6https://orcid.org/0000-0003-1975-9693Yu-Dong Cai7https://orcid.org/0000-0001-5664-7979School of Life Sciences, Shanghai University, Shanghai, ChinaKey Laboratory of Systems Biology, Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, ChinaInstitute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, ChinaInstitute of Health Sciences, Shanghai Jiao Tong University School of Medicine and Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, ChinaShanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, ChinaAnhui Province Key Laboratory of Farmland Ecological Conservation and Pollution Prevention, School of Resources and Environment, Anhui Agricultural University, Hefei, ChinaShanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, ChinaSchool of Life Sciences, Shanghai University, Shanghai, ChinaAlthough cancer has long been a major public health problem worldwide, conquering cancer still remains unachievable due to its complexity and diversity. With the development of high-throughput sequencing technologies, the combination of conventional clinical symptoms and new genetic events is becoming effective and has been approved for precise prediction and innovative diagnostic strategies. Epigenetic modification (e.g., DNA methylation) is an important mechanism of transcriptional control in normal or disease functions. Depending on the unique methylation profiles, an important possibility raised is that the characteristic of dys-methylation could provide a new molecular marker system for the identification of the major forms of tumors. In this study, we attempted to distinguish different tumor types. On the basis of DNA methylation data from PanCanAtlas in The Cancer Genome Atlas, we applied mRMR and MCFS methods together to identify the decision rules for distinguishing 33 different tumor types and ranked the features that characterized methylation level. This study highlights the considerable application potential of methylation features in cancer diagnosis and provides insight into novel therapeutic targets.https://ieeexplore.ieee.org/document/8938693/Methylationrulecancer diagnosispan-cancer
spellingShingle Yu-Hang Zhang
Tao Zeng
Xiaoyong Pan
Wei Guo
Zijun Gan
Yunhua Zhang
Tao Huang
Yu-Dong Cai
Screening Dys-Methylation Genes and Rules for Cancer Diagnosis by Using the Pan-Cancer Study
IEEE Access
Methylation
rule
cancer diagnosis
pan-cancer
title Screening Dys-Methylation Genes and Rules for Cancer Diagnosis by Using the Pan-Cancer Study
title_full Screening Dys-Methylation Genes and Rules for Cancer Diagnosis by Using the Pan-Cancer Study
title_fullStr Screening Dys-Methylation Genes and Rules for Cancer Diagnosis by Using the Pan-Cancer Study
title_full_unstemmed Screening Dys-Methylation Genes and Rules for Cancer Diagnosis by Using the Pan-Cancer Study
title_short Screening Dys-Methylation Genes and Rules for Cancer Diagnosis by Using the Pan-Cancer Study
title_sort screening dys methylation genes and rules for cancer diagnosis by using the pan cancer study
topic Methylation
rule
cancer diagnosis
pan-cancer
url https://ieeexplore.ieee.org/document/8938693/
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