# What is the relationship between microorganisms in the human body and upper tract urothelial carcinoma?

**Authors:** Xin Pei, Minghui Yu, Yijia Wang, Shi Zong, Fei Qi, Kaichen Wang

PMC · DOI: 10.3389/fimmu.2025.1636782 · Frontiers in Immunology · 2025-10-03

## TL;DR

This paper reviews how microorganisms in the urinary tract may influence the development and treatment of upper tract urothelial carcinoma.

## Contribution

The paper provides a comprehensive review of the role of the urinary microbiome in UTUC pathogenesis and treatment strategies.

## Key findings

- Pathogenic bacteria like E. coli are enriched in UTUC patients, causing DNA damage and immunosuppression.
- Microbiome metabolites influence tumor progression by modulating immune checkpoints and metabolic pathways.
- Urinary microbial markers combined with ctDNA improve diagnostic accuracy for UTUC.

## Abstract

Upper Tract Urothelial Carcinoma (UTUC) is a highly malignant tumor originating from the epithelium of the upper urinary tract with diverse pathogenesis, but currently available diagnostic and therapeutic strategies have some limitations. In recent years, human microbiome-related studies have provided new ideas for the exploration of the pathogenesis and treatment of UTUC. In this paper, we review the research progress of human microbiome related to UTUC. Focusing on the urinary microbiome, the role of the microbiome in the pathogenesis of UTUC is investigated through the mechanisms of chronic inflammation, genotoxic damage, immune microenvironmental imbalance and metabolic reprogramming. The pyelo-ureteric microbiome of healthy populations is dominated by commensal bacteria such as Lactobacillus and Streptococcus, whereas pathogenic bacteria such as Escherichia coli (E. coli) and Enterococcus faecalis are significantly enriched in patients with UTUC, which results in the development of DNA damage, inflammatory response and immunosuppression. In addition, microbiome metabolites (e.g., short-chain fatty acids, tryptophan derivatives) can influence tumor progression by modulating immune checkpoints (e.g., PD-1/PD-L1, B7-H4) and metabolic pathways (e.g., Warburg effect). In diagnostic and therapeutic applications, urinary microbial markers (e.g., E. coli-specific gene clusters) can be combined with circulating tumor DNA (ctDNA) assays to improve diagnostic sensitivity and specificity, and indices of intestinal flora diversity (e.g., Simpson’s index) are significantly correlated with the response rate to chemotherapy and prognostic course. In the future, we need to overcome the challenges of difficult sample acquisition, unknown causal mechanisms, and etiologic heterogeneity interference, and promote multi-omics joint modeling as well as cross-ethnicity and geographic research, and bidirectional regulation mechanisms of the gut-kidney axis in order to develop more accurate UTUC diagnosis and treatment strategies.

Flowchart describing differences in microbiota, challenges, driving mechanisms, diagnostic applications, and therapeutic strategies regarding urinary tract microbiomes. It includes sections on current and future challenges, chronic inflammation, diagnostics through biomarkers and prognostic assessment, and therapeutic strategies like targeted pathogen intervention and probiotic modulation.

## Linked entities

- **Diseases:** Upper Tract Urothelial Carcinoma (MONDO:0020654), UTUC (MONDO:0020654)
- **Species:** Escherichia coli (taxon 562), Enterococcus faecalis (taxon 1351), Lactobacillus (taxon 1578), Streptococcus (taxon 1301)

## Full-text entities

- **Diseases:** UTUC (MESH:D012141), malignant (MESH:D009369), inflammation (MESH:D007249)
- **Chemicals:** short-chain fatty acids (MESH:D005232), tryptophan (MESH:D014364)
- **Species:** Enterococcus faecalis (species) [taxon 1351], Streptococcus (genus) [taxon 1301], Homo sapiens (human, species) [taxon 9606], Escherichia coli (E. coli, species) [taxon 562], Lactobacillus (genus) [taxon 1578]

## Full text

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## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12531182/full.md

## References

63 references — full list in the complete paper: https://tomesphere.com/paper/PMC12531182/full.md

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Source: https://tomesphere.com/paper/PMC12531182