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A Predictive Model Based on the Gut Microbiota Improves the Diagnostic Effect in Patients With Cholangiocarcinoma

Cholangiocarcinoma (CCA) is a malignant hepatic tumor with a poor prognosis, which needs early diagnosis urgently. The gut microbiota has been shown to play a crucial role in the progression of liver cancer. Here, we explored a gut microbiota model covering genera Burkholderia-Caballeronia-Paraburkh...

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Autores principales: Zhang, Tan, Zhang, Sina, Jin, Chen, Lin, Zixia, Deng, Tuo, Xie, Xiaozai, Deng, Liming, Li, Xueyan, Ma, Jun, Ding, Xiwei, Liu, Yaming, Shan, Yunfeng, Yu, Zhengping, Wang, Yi, Chen, Gang, Li, Jialiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650695/
https://www.ncbi.nlm.nih.gov/pubmed/34888258
http://dx.doi.org/10.3389/fcimb.2021.751795
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author Zhang, Tan
Zhang, Sina
Jin, Chen
Lin, Zixia
Deng, Tuo
Xie, Xiaozai
Deng, Liming
Li, Xueyan
Ma, Jun
Ding, Xiwei
Liu, Yaming
Shan, Yunfeng
Yu, Zhengping
Wang, Yi
Chen, Gang
Li, Jialiang
author_facet Zhang, Tan
Zhang, Sina
Jin, Chen
Lin, Zixia
Deng, Tuo
Xie, Xiaozai
Deng, Liming
Li, Xueyan
Ma, Jun
Ding, Xiwei
Liu, Yaming
Shan, Yunfeng
Yu, Zhengping
Wang, Yi
Chen, Gang
Li, Jialiang
author_sort Zhang, Tan
collection PubMed
description Cholangiocarcinoma (CCA) is a malignant hepatic tumor with a poor prognosis, which needs early diagnosis urgently. The gut microbiota has been shown to play a crucial role in the progression of liver cancer. Here, we explored a gut microbiota model covering genera Burkholderia-Caballeronia-Paraburkholderia, Faecalibacterium, and Ruminococcus_1 (B-F-R) for CCA early diagnosis. A case-control study was conducted to enroll 53 CCA patients, 47 cholelithiasis patients, and 40 healthy controls. The feces samples and clinical information of participants were collected in the same period. The gut microbiota and its diversity of individuals were accessed with 16S rDNA sequencing, and the gut microbiota profile was evaluated according to microbiota diversity. Finally, four enriched genera in the CCA group (genera Bacteroides, Muribaculaceae_unclassified, Muribaculum, and Alistipes) and eight enriched genera in the cholelithiasis group (genera Bifidobacterium, Streptococcus, Agathobacter, Ruminococcus_gnavus_group, Faecalibacterium, Subdoligranulum, Collinsella, Escherichia-Shigella) constitute an overall different microbial community composition (P = 0.001). The B-F-R genera model with better diagnostic value than carbohydrate antigen 19-9 (CA19-9) was identified by random forest and Statistical Analysis of Metagenomic Profiles (STAMP) to distinguish CCA patients from healthy controls [area under the curve (AUC) = 0.973, 95% CI = 0.932–1.0]. Moreover, the correlative analysis found that genera Burkholderia-Caballeronia-Paraburkholderia were positively correlated with body mass index (BMI). The significantly different microbiomes between cholelithiasis and CCA were found via principal coordinates analysis (PCoA) and linear discriminant analysis effect size (LEfSe), and Venn diagram and LEfSe were utilized to identify four genera by comparing microbial compositions among patients with malignant obstructive jaundice (MOJ-Y) or not (MOJ-N). In brief, our findings suggest that gut microbiota vary from benign and malignant hepatobiliary diseases to healthy people and provide evidence supporting gut microbiota to be a non-invasive biomarker for the early diagnosis of CCA.
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spelling pubmed-86506952021-12-08 A Predictive Model Based on the Gut Microbiota Improves the Diagnostic Effect in Patients With Cholangiocarcinoma Zhang, Tan Zhang, Sina Jin, Chen Lin, Zixia Deng, Tuo Xie, Xiaozai Deng, Liming Li, Xueyan Ma, Jun Ding, Xiwei Liu, Yaming Shan, Yunfeng Yu, Zhengping Wang, Yi Chen, Gang Li, Jialiang Front Cell Infect Microbiol Cellular and Infection Microbiology Cholangiocarcinoma (CCA) is a malignant hepatic tumor with a poor prognosis, which needs early diagnosis urgently. The gut microbiota has been shown to play a crucial role in the progression of liver cancer. Here, we explored a gut microbiota model covering genera Burkholderia-Caballeronia-Paraburkholderia, Faecalibacterium, and Ruminococcus_1 (B-F-R) for CCA early diagnosis. A case-control study was conducted to enroll 53 CCA patients, 47 cholelithiasis patients, and 40 healthy controls. The feces samples and clinical information of participants were collected in the same period. The gut microbiota and its diversity of individuals were accessed with 16S rDNA sequencing, and the gut microbiota profile was evaluated according to microbiota diversity. Finally, four enriched genera in the CCA group (genera Bacteroides, Muribaculaceae_unclassified, Muribaculum, and Alistipes) and eight enriched genera in the cholelithiasis group (genera Bifidobacterium, Streptococcus, Agathobacter, Ruminococcus_gnavus_group, Faecalibacterium, Subdoligranulum, Collinsella, Escherichia-Shigella) constitute an overall different microbial community composition (P = 0.001). The B-F-R genera model with better diagnostic value than carbohydrate antigen 19-9 (CA19-9) was identified by random forest and Statistical Analysis of Metagenomic Profiles (STAMP) to distinguish CCA patients from healthy controls [area under the curve (AUC) = 0.973, 95% CI = 0.932–1.0]. Moreover, the correlative analysis found that genera Burkholderia-Caballeronia-Paraburkholderia were positively correlated with body mass index (BMI). The significantly different microbiomes between cholelithiasis and CCA were found via principal coordinates analysis (PCoA) and linear discriminant analysis effect size (LEfSe), and Venn diagram and LEfSe were utilized to identify four genera by comparing microbial compositions among patients with malignant obstructive jaundice (MOJ-Y) or not (MOJ-N). In brief, our findings suggest that gut microbiota vary from benign and malignant hepatobiliary diseases to healthy people and provide evidence supporting gut microbiota to be a non-invasive biomarker for the early diagnosis of CCA. Frontiers Media S.A. 2021-11-23 /pmc/articles/PMC8650695/ /pubmed/34888258 http://dx.doi.org/10.3389/fcimb.2021.751795 Text en Copyright © 2021 Zhang, Zhang, Jin, Lin, Deng, Xie, Deng, Li, Ma, Ding, Liu, Shan, Yu, Wang, Chen and Li https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cellular and Infection Microbiology
Zhang, Tan
Zhang, Sina
Jin, Chen
Lin, Zixia
Deng, Tuo
Xie, Xiaozai
Deng, Liming
Li, Xueyan
Ma, Jun
Ding, Xiwei
Liu, Yaming
Shan, Yunfeng
Yu, Zhengping
Wang, Yi
Chen, Gang
Li, Jialiang
A Predictive Model Based on the Gut Microbiota Improves the Diagnostic Effect in Patients With Cholangiocarcinoma
title A Predictive Model Based on the Gut Microbiota Improves the Diagnostic Effect in Patients With Cholangiocarcinoma
title_full A Predictive Model Based on the Gut Microbiota Improves the Diagnostic Effect in Patients With Cholangiocarcinoma
title_fullStr A Predictive Model Based on the Gut Microbiota Improves the Diagnostic Effect in Patients With Cholangiocarcinoma
title_full_unstemmed A Predictive Model Based on the Gut Microbiota Improves the Diagnostic Effect in Patients With Cholangiocarcinoma
title_short A Predictive Model Based on the Gut Microbiota Improves the Diagnostic Effect in Patients With Cholangiocarcinoma
title_sort predictive model based on the gut microbiota improves the diagnostic effect in patients with cholangiocarcinoma
topic Cellular and Infection Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650695/
https://www.ncbi.nlm.nih.gov/pubmed/34888258
http://dx.doi.org/10.3389/fcimb.2021.751795
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