Abstract

550 Background: Cholangiocarcinoma (CCA) is a malignancy associated with a poor prognosis. Gut microbiome dysbiosis is considered to be related with multiple disease, including and cancer. However, relationship between mucosal microbiome dysbiosis and CCA remains unclear. In this study, we evaluated mucosal microbiome of patients with extrahepatic-CCA (EH-CCA) and compared it with patients with chronic cholecystitis (CC) and living liver donors who served as healthy control (HC), to understand the role of microbiome in development EH-CCA. Methods: A total of 18 patients with EH-CCA, 21 patients with CC, and 17 HC were included. During operation, swab sample were obtained from cancer tissue of patient with EH-CCA and from gallbladder in other participants, respectively. The bacterial 16S rRNA gene (V3/V4 region) was amplified using PCR and sequenced on the Illumina MiSeq platform. The QIIME 2 pipelines were used to analyze the raw data. Results: The median age were 71, 53, and 29 years for patients with EH-CCA, patients with CC, and HC, respectively. The mean number of operational taxonomic unit were significantly higher in the CCA (13,037 [SD 9,676]) compared to HC (5,045 [12,679]; p<0.001). Among the sample from HC, the most abundant taxa at phylum level was Firmicutes (74.47%), followed by Bacteroidota (14.8%), and Proteobacteria accounted for only 2%. In the CC group, Firmicutes is most abundant (63.15%) phylum, followed by Proteobacteria (22.09%). In contrast, among the samples from CCA, Proteobacteria were the most common phylum (50.43%). Pairwise comparison of α-diversity measured by Chao1 index showed that richness was higher in samples from CC compared to other groups (vs HC, p=0.02; vs CCA, p<0.001). In terms of α-diversity measured by Shannon index, samples from cancer have lower diversity compared to healthy controls ( p<0.001), however, no significant differences were found between samples from cancer and CC ( p=0.1). The Principal Coordinate Analysis plot based on Bray-Curtis distance showed that all three groups formed significantly separate clusters (p=0.001). The linear discriminant analysis effect size showed that the most abundant taxa from samples from CCA were Enterobacter, Klebsiella, and Fusobacterium. In the samples from HC, Limosilactobacillus, Lachnospiraceae_NK4A136_group, and Faecalibacterium were most significant, while Lactobacillus and Pseudomonas were most abundant among the CC group. Conclusions: This study compared the mucosal microbiome from biliary tract among patients with CCA, patients with CC, and HC. All three groups showed significantly different microbiome profiles. In CCA sample, the proportion of Proteobacteria is high, and diversity were low, suggesting mucosal microbial dysbiosis. Further studies are needed to investigate the clinical implications of microbial dysbiosis in CCA.

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