Gut Microbiome

Multikingdom and functional gut microbiota markers for cholangiocarcinoma.

TL;DR

Gut multi-kingdom and functional microbial signatures represent a promising noninvasive tool that may aid the screening and early identification of cholangiocarcinoma in high-risk populations, complementing existing diagnostic approaches.

Key Findings

Metagenomic sequencing of 700 fecal samples from three regions in China was used to characterize multi-kingdom gut microbiota and function in cholangiocarcinoma (CCA).

  • Cohort comprised 289 CCA patients, 312 healthy controls, and 99 hepatocellular carcinoma (HCC) patients.
  • Samples came from three distinct regions in China.
  • Analyses covered bacteria, archaea, fungi, and viruses, plus functional profiles.

CCA patients showed extensive alterations in the gut microbiome across multiple kingdoms and functional layers.

  • Altered taxa included 198 archaeal, 154 bacterial, 78 fungal, and 120 viral species.
  • Functional alterations included 278 genes, 99 pathways, and 151 carbohydrate-active enzymes (CAZymes).
  • The abstract states that prior work was limited to bacterial components.

A 21-marker multi-kingdom and functional panel gave the best diagnostic model for CCA, with an average AUC of 91% across three validation cohorts.

  • 117 modeling schemes built from multiple machine learning algorithms were compared to select the optimal model.
  • The model was validated in three independent cohorts.
  • It outperformed any single-kingdom model.

The model distinguished CCA from HCC with high specificity.

  • AUC of 99.74% for CCA versus HCC.
  • False positive rate of 11.11%.

Benchmarking against clinical guidelines supported a complementary role as a noninvasive screening aid.

  • 15 CCA clinical practice guidelines/consensus statements and their cited evidence were reviewed.
  • Model pooled sensitivity was 96.2% and pooled specificity was 78.5%.

The model detected nearly all CCA cases that were negative for CA19-9.

  • 97.6% of CA19-9-negative CCA cases were detected.
  • Performance was evaluated in both CA19-9-positive and CA19-9-negative patients.

The authors conclude this is the first comprehensive characterization of multi-kingdom gut microbiome and functional markers in CCA.

  • The signatures may aid screening and early identification in high-risk populations.
  • They are positioned as complementing, not replacing, existing diagnostics.

What This Means

This study looked at the microbes living in the gut, including bacteria, fungi, archaea, and viruses, in people with cholangiocarcinoma (bile duct cancer). Researchers sequenced stool samples from 700 people in China: 289 with cholangiocarcinoma, 312 healthy people, and 99 with liver cancer (hepatocellular carcinoma). They found large differences in the gut microbes of cholangiocarcinoma patients, spanning hundreds of species across all four groups of microbes, as well as differences in microbial genes, pathways, and enzymes. Using machine learning, the team built a test based on 21 microbial markers. In three independent validation groups it identified cholangiocarcinoma with an average AUC of 91% (a measure of accuracy where higher is better), and it did better than tests using bacteria alone. It could also tell bile duct cancer apart from liver cancer, and it detected 97.6% of cancers that were negative on the standard blood marker CA19-9. This research suggests that stool-based microbial profiles might one day help screen for bile duct cancer in high-risk people without invasive procedures. However, the test's pooled specificity was about 78.5%, so false positives would occur. The authors describe it as a complement to existing diagnostic methods, and it would need further testing before any clinical use.

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Citation

Rao B, Liu S, Cui G, Jiang J, Li N, Hu J, et al.. (2026). Multikingdom and functional gut microbiota markers for cholangiocarcinoma.. Genome medicine. https://doi.org/10.1186/s13073-026-01757-0