Investigation of putative roles of smoking-associated salivary microbiome alterations on carcinogenesis by integrative in silico analysis

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dc.authoridBerna Ayar / 0000-0001-8787-4517en_US
dc.authorscopusidBerna Ayar / 58037492300en_US
dc.authorwosidBerna Ayar / HMT-7548-2023en_US
dc.contributor.authorDoğan, Berkcan
dc.contributor.authorAyar, Berna
dc.contributor.authorPirim, Dilek
dc.date.accessioned2023-04-25T06:37:25Z
dc.date.available2023-04-25T06:37:25Z
dc.date.issued2022en_US
dc.departmentİstinye Üniversitesi, Rektörlük, Uygulama ve Araştırma Merkezleri, Moleküler Kanser Uygulama ve Araştırma Merkezien_US
dc.description.abstractGrowing evidence suggests that cigarette smoking alters the salivary microbiome composition and affects the risk of various complex diseases including cancer. However, the potential role of the smoking-associated microbiome in cancer development remains unexplained. Here, the putative roles of smoking-related microbiome alterations in carcinogenesis were investigated by in silico analysis and suggested evidence can be further explored by experimental methodologies. The Disbiome database was used to extract smoking-associated microbial taxa in saliva and taxon set enrichment analysis (TSEA) was conducted to identify the gene sets associated with extracted microbial taxa. We further analyzed the expression profiles of identified genes by using RNA-sequencing data from TCGA and GTEx projects. Associations of the genes with smoking-related phenotypes in cancer datasets were analyzed to prioritize genes for their interplay between smoking-related microbiome and carcinogenesis. Thirty-eight microbial taxa associated with smoking were included in the TSEA and this revealed sixteen genes that were significantly associated with smoking-associated microbial taxa. All genes were found to be differentially expressed in at least one cancer dataset, yet the ELF3 and CTSH were the most common differentially expressed genes giving significant results for several cancer types. Moreover, C2CD3, CTSH, DSC3, ELF3, RHOT2, and WSB2 showed statistically significant associations with smoking-related phenotypes in cancer datasets. This study provides in silico evidence for the potential roles of the salivary microbiome on carcino-genesis. The results shed light on the importance of smoking cessation strategies for cancer management and interventions to stratify smokers for their risk of smoking-induced carcinogenesis.en_US
dc.identifier.citationDoğan, B., Ayar, B., & Pirim, D. (2023). Investigation of putative roles of smoking-associated salivary microbiome alterations on carcinogenesis by integrative in silico analysis. Computational Biology and Chemistry, 102, 107805.en_US
dc.identifier.doi10.1016/j.compbiolchem.2022.107805en_US
dc.identifier.issn1476-9271en_US
dc.identifier.issn1476-928Xen_US
dc.identifier.issue102en_US
dc.identifier.pmid36587566en_US
dc.identifier.scopus2-s2.0-85145261602en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.compbiolchem.2022.107805
dc.identifier.urihttps://hdl.handle.net/20.500.12713/3909
dc.identifier.volume2023en_US
dc.identifier.wosWOS:000918732100001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.institutionauthorAyar, Berna
dc.language.isoenen_US
dc.publisherElsevier Scı Ltden_US
dc.relation.ispartofComputational Biology and Chemistryen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCigarette Smokingen_US
dc.subjectSalivary Microbiomeen_US
dc.subjectCarcinogenesisen_US
dc.subjectFunctional Enrichment Analysisen_US
dc.subjectBioinformaticsen_US
dc.titleInvestigation of putative roles of smoking-associated salivary microbiome alterations on carcinogenesis by integrative in silico analysisen_US
dc.typeArticleen_US

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