Computational analysis of TP53 vs. CTNNB1 mutations in hepatocellular carcinoma suggests distinct cancer subtypes with differential gene expression profiles and chromatin states

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dc.authoridBiterge Sut, Burcu/0000-0001-5756-5756
dc.contributor.authorSut, Burcu Biterge
dc.date.accessioned2024-11-07T13:24:57Z
dc.date.available2024-11-07T13:24:57Z
dc.date.issued2020
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractGenetic variations are important drivers of carcinogenesis. It is extremely important to identify molecular distinctions between patients of the same disease for effective cancer treatment. This study aims to understand cellular and molecular differences between hepatocellular carcinoma patients carrying TP53 or CTNNB1 mutations, which could possess clinical significance. For this purpose, DNA sequencing and mRNA expression data for hepatocellular carcinoma patients were analyzed. Differentially expressed genes and the cellular processes that they are involved in were determined for TP53/CTNNB1-altered patient groups. We found that the mutations of TP53/CTNNB1 genes in the patient cohort was almost mutually exclusive and gene expression profiling in these subgroups were unique. Gene Ontology (GO) enrichment analysis of the differentially expressed genes identified several important cellular processes. In line with this, selected histone variants, histone chaperons, as well as the binding partners of TP53/CTNNB1 showed distinct enrichment levels. TP53/CTNNB1-altered patient groups laso showed different prognostic outcomes and tumor infiltration levels. In conclusion, our results strongly imply differential chromatin states and transcriptional regulation in relation to the mutational status of TP53 vs. CTNNB1, suggesting that these genes might be inducing different cellular pathways involving distinct chromatin environments during the course of carcinogenesis.
dc.identifier.doi10.1016/j.compbiolchem.2020.107404
dc.identifier.issn1476-9271
dc.identifier.issn1476-928X
dc.identifier.pmid33096424
dc.identifier.scopus2-s2.0-85092667430
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1016/j.compbiolchem.2020.107404
dc.identifier.urihttps://hdl.handle.net/11480/14421
dc.identifier.volume89
dc.identifier.wosWOS:000600544900011
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherElsevier Sci Ltd
dc.relation.ispartofComputational Biology and Chemistry
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectHepatocellular carcinoma
dc.subjectChromatin
dc.subjectEpigenetic regulation
dc.subjectTP53
dc.subjectCTNNB1
dc.subjectData mining
dc.titleComputational analysis of TP53 vs. CTNNB1 mutations in hepatocellular carcinoma suggests distinct cancer subtypes with differential gene expression profiles and chromatin states
dc.typeArticle

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