Integrated multi-omics analysis of genomics, epigenomics, and transcriptomics in ovarian carcinoma
| Autor: | Qing Liu, Yuexin Hu, Xiao Li, Xin Nie, Juanjuan Liu, Rui Gou, Bei Lin, Mingjun Zheng, Jing Wang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Epigenomics
Aging DNA Copy Number Variations Databases Factual UBB Genomics Biology medicine.disease_cause IL18BP Transcriptome 03 medical and health sciences 0302 clinical medicine Ovarian carcinoma medicine Humans RNA Messenger Gene 030304 developmental biology Ovarian Neoplasms 0303 health sciences Mutation Ubiquitin B Gene Expression Profiling Carcinoma Cell Biology DNA Methylation multi-omics molecular subtype biomolecular markers 3. Good health Gene Expression Regulation Neoplastic ovarian carcinoma 030220 oncology & carcinogenesis DNA methylation Cancer research Female Research Paper |
| Zdroj: | Aging (Albany NY) |
| ISSN: | 1945-4589 |
| DOI: | 10.18632/aging.102047 |
| Popis: | In this study, we identified prognostic biomarkers in ovarian carcinoma by integrating multi-omics DNA copy number variation (CNV) and methylation variation (MET) data. CNV, MET, and messenger RNA (mRNA) expression were examined in 351 ovarian carcinoma patients. Genes for which expression was correlated with DNA copy-number or DNA methylation were identified; three ovarian carcinoma gene subtypes were defined based on these correlations. Overall survival and B cell scores were lower, while the macrophage cell score was higher, in the DNA imprinting centre 1 (iC1) subtype than in the iC2 and iC3 subtypes. Comparison of CNV, MET, and mRNA expression among the subtypes identified two genes, ubiquitin B (UBB) and interleukin 18 binding protein (IL18BP), that were associated with prognosis. Mutation spectrum results based on subtype indicated that UBB and IL18BP expression may be influenced by mutation loci. Mutation levels were higher in iC1 samples than in iC2 or iC3 samples, indicating that the iC1 subtype is associated with disease progression. This integrated multi-omics analysis of genomics, epigenomics, and transcriptomics provides new insight into the molecular mechanisms of ovarian carcinoma and may help identify biomolecular markers for early disease diagnosis. |
| Databáze: | OpenAIRE |
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