Name
Title | ||
|---|---|---|
meGPS: a multi-omics signature for hepatocellular carcinoma detection integrating methylome and transcriptome data |
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. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1093/bioinformatics/btac379 | BIOINFORMATICS |
DocType | Volume | Issue |
Journal | 38 | 14 |
ISSN | Citations | PageRank |
1367-4803 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qiong Wu | 1 | 0 | 1.01 |
| Xubin Zheng | 2 | 0 | 0.34 |
| Kwong-Sak Leung | 3 | 1887 | 205.58 |
| Man Hon Wong | 4 | 814 | 233.13 |
| Stephen K.-W. Tsui | 5 | 130 | 12.70 |
| Lixin Cheng | 6 | 0 | 0.34 |