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Oral Microbiota Alterations and Potential Salivary Biomarkers in Colorectal Cancer: A Next-Generation Sequencing Study

dc.contributor.authorMacin, Salih
dc.contributor.authorOzden, Ozben
dc.contributor.authorSamadzade, Rugiyya
dc.contributor.authorSaylam, Esra
dc.contributor.authorCiftci, Nurullah
dc.contributor.authorArslan, Ugur
dc.contributor.authorYormaz, Serdar
dc.date.accessioned2026-11-05T11:03:24Z
dc.date.issued2025
dc.description.abstractColorectal cancer (CRC) has a high mortality rate worldwide. Oral and intestinal microbiota members may have an effect on gastrointestinal tumors' pathogenesis, particularly in CRC. Designed as a pilot study, this study's aim was to investigate the relationship between CRC and oral microbiota and to identify potential biomarkers for CRC diagnosis. Saliva samples were collected from recently diagnosed CRC patients (n = 14) and healthy controls (n = 14) between March 2023 and December 2023. Microbiota (16S rRNA) analyses were conducted on these saliva samples using a next-generation sequencing method. Phylogenetic analyses, including alpha diversity, principal component analysis (PCA), principal coordinate analysis (PCoA), beta diversity, biomarker, and phenotype analyses, were conducted using the Qiime2 (Quantitative Insights Into Microbial Ecology) platform. Alpha diversity indices (Shannon: p = 0.78, Cho1: p = 0.28, Simpson: p = 0.81) showed no significant difference between CRC and control groups. Beta diversity analysis using Bray-Curtis PCoA indicated significant differences in the microbial community between the two groups (p = 0.003). Examination of OTU distributions revealed that the Mycoplasmatota phylum was undetectable in the oral microbiota of healthy controls but was significantly elevated in CRC patients (CRC: 0.13 +/- 0.30, Control: 0.00 +/- 0.00, p < 0.05). Additionally, Metamycoplasma salivarium, Bacteroides intestinalis, and Pseudoprevotella muciniphila were undetectable in healthy controls but significantly more prevalent in CRC patients (p < 0.05 for all three species). LEfSe analysis identified eight species with an LDA score > 2, Granulicatella adiacens, Streptococcus thermophilus, Streptococcus gwangjuense, Capnocytophaga sp. FDAARGOS_737, Capnocytophaga gingivalis, Granulicatella elegans, Bacteroides intestinalis, and Pseudoprevotella muciniphila, as potential biomarkers. The results of this study contribute critical evidence of the role of oral microbiota in the pathogenesis of colorectal cancer. Alterations in the microbiota suggest potential biomarkers in understanding the biological mechanisms underlying CRC and developing diagnostic and therapeutic strategies.
dc.description.issue1
dc.description.pages43
dc.description.sponsorshipFunding was provided by Scientific Research Projects Coordinatorship of Selcuk University for financially supporting this research article (Project No.: 23401136).
dc.description.volume15
dc.identifier.doi10.3390/pathogens15010043
dc.identifier.issn2076-0817
dc.identifier.urihttps://doi.org/10.3390/pathogens15010043
dc.identifier.urihttps://openaccess.acibadem.edu.tr/handle/11443/11054
dc.identifier.wosWOS:001672073000001
dc.language.isoen
dc.publisherMDPI
dc.relation.fundingScientific Research Projects Coordinatorship of Selcuk University(Selcuk University)
dc.relation.fundingScientific Research Projects Coordinatorship of Selcuk University [23401136]
dc.relation.hasversion10.3390/pathogens15010043
dc.relation.ispartofPATHOGENS
dc.subjectbioinformatics
dc.subjectbiomarker
dc.subjectbiotechnology
dc.subjectcolorectal cancer
dc.subjectoral microbiota
dc.subjectnext-generation sequencing
dc.subjectGUT MICROBIOTA
dc.subjectMYCOPLASMAS
dc.subjectMicrobiology
dc.titleOral Microbiota Alterations and Potential Salivary Biomarkers in Colorectal Cancer: A Next-Generation Sequencing Study
dc.typeArticle
oaire.citation.editionScience Citation Index Expanded (SCI-EXPANDED)
oaire.citation.issue1
oaire.citation.volume15
person.identifier.orcid0000-0002-6273-3643
person.identifier.ridPGM-1458-2026
person.identifier.ridP-2881-2019
person.identifier.ridJPX-2731-2023

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