Title | meGPS: a multi-omics signature for hepatocellular carcinoma detection integrating methylome and transcriptome data |
Author | |
Corresponding Author | Tsui, Stephen Kwok-Wing; Cheng, Lixin |
Publication Years | 2022-06-01
|
DOI | |
Source Title | |
ISSN | 1367-4803
|
EISSN | 1460-2059
|
Abstract | ["Motivation: Hepatocellular carcinoma (HCC) is a primary malignancy with a poor prognosis. Recently, multi-omics molecular-level measurement enables HCC diagnosis and prognosis prediction, which is crucial for early intervention of personalized therapy to diminish mortality. Here, we introduce a novel strategy utilizing DNA methylation and RNA expression data to achieve a multi-omics gene pair signature (GPS) for HCC discrimination.","Results: The immune genes with negative correlations between expression and promoter methylation are enriched in the highly connected cancer-related pathway network, which are considered as the candidates for HCC detection. After that, we separately construct a methylation GPS (mGPS) and an expression GPS (eGPS), and then assemble them as a meGPS with five gene pairs, in which the significant methylation and expression changes occur between HCC tumor and non-tumor groups. Reliable performance has been validated by independent tissue (age, gender and etiology) and blood datasets. This study proposes a procedure for multi-omics GPS identification and develops a novel HCC signature using both methylome and transcriptome data, suggesting potential molecular targets for the detection and therapy of HCC."] |
URL | [Source Record] |
Indexed By | |
Language | English
|
SUSTech Authorship | First
; Corresponding
|
Funding Project | Guangdong Basic and Applied Basic Research Foundation[2019A1515110097]
; General Research Fund of the Hong Kong Research Grants Council[14175617,14119420,14119219]
; Health and Medical Research Fund of the Food and Health Bureau of the Hong Kong Special Administrative Region government["06171016","07181266"]
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WOS Research Area | Biochemistry & Molecular Biology
; Biotechnology & Applied Microbiology
; Computer Science
; Mathematical & Computational Biology
; Mathematics
|
WOS Subject | Biochemical Research Methods
; Biotechnology & Applied Microbiology
; Computer Science, Interdisciplinary Applications
; Mathematical & Computational Biology
; Statistics & Probability
|
WOS Accession No | WOS:000809396400001
|
Publisher | |
ESI Research Field | BIOLOGY & BIOCHEMISTRY
|
Data Source | Web of Science
|
Citation statistics |
Cited Times [WOS]:7
|
Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/343088 |
Department | Shenzhen People's Hospital |
Affiliation | 1.Jinan Univ, Clin Med Coll 2, Southern Univ Sci & Technol, Affiliated Hosp 1,Shenzhen Peoples Hosp, Shenzhen 518020, Peoples R China 2.Chinese Univ Hong Kong, Sch Biomed Sci, Hong Kong, Peoples R China 3.Chinese Univ Hong Kong, Prince Wales Hosp, Dept Paediat, Hong Kong, Peoples R China 4.Chinese Univ Hong Kong, Dept Comp Sci & Engn, Hong Kong, Peoples R China |
First Author Affilication | Shenzhen People's Hospital |
Corresponding Author Affilication | Shenzhen People's Hospital |
First Author's First Affilication | Shenzhen People's Hospital |
Recommended Citation GB/T 7714 |
Wu, Qiong,Zheng, Xubin,Leung, Kwong-Sak,et al. meGPS: a multi-omics signature for hepatocellular carcinoma detection integrating methylome and transcriptome data[J]. BIOINFORMATICS,2022.
|
APA |
Wu, Qiong,Zheng, Xubin,Leung, Kwong-Sak,Wong, Man-Hon,Tsui, Stephen Kwok-Wing,&Cheng, Lixin.(2022).meGPS: a multi-omics signature for hepatocellular carcinoma detection integrating methylome and transcriptome data.BIOINFORMATICS.
|
MLA |
Wu, Qiong,et al."meGPS: a multi-omics signature for hepatocellular carcinoma detection integrating methylome and transcriptome data".BIOINFORMATICS (2022).
|
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