Abstract | BACKGROUND: METHODS: Patients who were diagnosed with biliary tract cancer or benign inflammation were enrolled in this study. The control group consisted of healthy adults who presented with no history of significant medical issues. We isolated bacteria-derived extracellular vesicles in the plasma. The microbiome composition was investigated with 16S rDNA metagenome analysis. We evaluated each microbiome to ensure suitability for the biliary tract cancer prediction model. RESULTS: A total of 155 patients were included in this study: 24 patients with diagnosed biliary tract cancers, 43 diagnosed with cholecystitis or cholangitis, and 88 healthy adults. The microbiome composition pattern of the biliary tract cancer differed from the microbiome composition pattern seen in healthy adult group in beta diversity analysis. The percent composition of microbiota was found to be different from the phylum to genus level. Differences in the composition of the Bifidobacteriaceae and Pseudomonaceae families and Corynebacteriaceae Corynebacterium, Oxalobacteraceae Ralstonia and Comamonadaceae Comamonas species may be used to develop predictive models for biliary tract cancer. CONCLUSION:
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Authors | Huisong Lee, Hyeon Kook Lee, Seog Ki Min, Won Hee Lee |
Journal | World journal of surgical oncology
(World J Surg Oncol)
Vol. 18
Issue 1
Pg. 19
(Jan 24 2020)
ISSN: 1477-7819 [Electronic] England |
PMID | 31980025
(Publication Type: Comparative Study, Journal Article)
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Chemical References |
- Biomarkers, Tumor
- DNA, Ribosomal
- RNA, Ribosomal, 16S
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Topics |
- Adult
- Aged
- Bacteria
(classification, genetics, isolation & purification)
- Biliary Tract Diseases
(microbiology)
- Biliary Tract Neoplasms
(microbiology)
- Biomarkers, Tumor
- DNA, Ribosomal
(genetics)
- Extracellular Vesicles
(microbiology)
- Humans
- Microbiota
(genetics)
- Middle Aged
- RNA, Ribosomal, 16S
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