Evidence map›Paper›PMID 40206347›Full record

ArticleComputational and structural biotechnology journal2025

Bile-Liver phenotype: Exploring the microbiota landscape in bile and intratumor of cholangiocarcinoma.

Lei Wang, Hui Zhao, Fan Wu, Jiale Chen, Hanjie Xu, Wanwan Gong, Sijia Wen, Mengmeng Yang, Jiazeng Xia, Yu Chen and 1 more

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Microbial dysbiosis in cholangiocarcinoma.Frontiers in microbiology · 2026
    Review
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Lei WangInstitute for Reproductive Health and Genetic Diseases, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi 214002, China.
Hui ZhaoDepartment of Hepatopancreatobiliary Surgery, Jiangnan University Medical Center, Wuxi 214002, China.
Fan WuDepartment of Hepatopancreatobiliary Surgery, Jiangnan University Medical Center, Wuxi 214002, China.
Jiale ChenDepartment of Hospital Infection Management,Wujin Affiliated Hospital of Nanjing University of Traditional Chinese Medicine, Changzhou 213161, China.
Hanjie XuInstitute for Reproductive Health and Genetic Diseases, Wuxi Maternal and Child Health Hospital, Wuxi School of Medicine, Jiangnan University, Wuxi 214002, China.
Wanwan GongDepartment of Hepatopancreatobiliary Surgery, Jiangnan University Medical Center, Wuxi 214002, China.
Sijia WenDepartment of Hepatopancreatobiliary Surgery, Jiangnan University Medical Center, Wuxi 214002, China.
Mengmeng YangJiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi 214064, China.
Jiazeng XiaDepartment of General Surgery, The Affiliated Wuxi No.2 People's Hospital of Nanjing Medical University, Wuxi 214002, China.
Yu ChenInstitute for Reproductive Health and Genetic Diseases, Wuxi Maternal and Child Health Hospital, Wuxi School of Medicine, Jiangnan University, Wuxi 214002, China.
Daozhen ChenInstitute for Reproductive Health and Genetic Diseases, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi 214002, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cholangiocarcinoma (CCA) arises within the peritumoral bile microenvironment, yet microbial translocation from bile to intracholangiocarcinoma (IntraCCA) tissues remains poorly understood. Previous studies on bile microbiota alterations from biliary benign disease (BBD) to CCA have yielded inconsistent results, highlighting the need for cross-study analysis. We presented a comprehensive analysis of five cohorts (N = 266), including our newly established 16S rRNA gene profiling (n = 42), to elucidate these microbiota transitions. The concordance of bacteria between CCA bile and intraCCA tissue, represented by Enterococcus and Staphylococcus, suggested microbiota migration from bile to intratumoral tissues. A computational random forest machine learning model effectively distinguished intraCCA tissue from CCA bile, identifying Rhodococcus and Ralstonia as diagnostically significant. The model also excelled in differentiating CCA bile from BBD bile, achieving an AUC value of 0.931 in external validation. Using unsupervised hierarchical clustering, we established Biletypes based on microbial signatures in our cohort. A combination of 17 genera effectively stratified patients into Biletype A and Biletype B. Biletype B robustly discerned CCA from BBD, with Sub-Biletype B1 correlating with advanced TNM stage and poorer prognosis. Among the 17 genera, bacterial Cluster 1, composed of Sphingomonas, Staphylococcus, Massilia, Paenibacillus, Porphyrobacter, Lawsonella, and Aerococcus, was enriched in Biletype B1 and predicted CCA with an AUC of 0.96. Staphylococcus emerged as a promising single-genus predictor for CCA diagnosis and staging. In conclusion, this study delineates a potential microbiota transition pathway from the gut through CCA bile to intra-CCA tissue, proposing Biletypes and Staphylococcus as biomarkers for CCA prognosis.

Indexed as

BiletypeCholangiocarcinoma16S rRNA gene profilingMicrobiotaStaphylococcus

Identifiers

PMID40206347
PMCPMC11981758

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.