# Comparative Evaluation of Urinary Biomarkers in Wilms Tumor Survivors and Children with Chronic Kidney Disease

**Authors:** Pawel Dubiela, Katarzyna Taranta-Janusz, Katarzyna Konończuk, Karolina Konstantynowicz-Nowicka, Adrian Chabowski, Paulina Szymanska-Rozek, Eryk Latoch

PMC · DOI: 10.3390/ijms26136238 · International Journal of Molecular Sciences · 2025-06-27

## TL;DR

The study compares urine biomarkers in children with Wilms tumor, chronic kidney disease, and healthy controls to identify patterns that could help diagnose and treat kidney conditions.

## Contribution

The study provides a comparative analysis of specific urinary biomarkers in Wilms tumor and CKD patients, revealing distinct patterns and correlations.

## Key findings

- Creatinine levels were significantly higher in CKD patients compared to Wilms tumor and healthy controls.
- All tested biomarkers showed statistically significant differences among the three groups when adjusted for creatinine.
- Strong correlations were observed among biomarkers in CKD patients, suggesting potential for future diagnostic strategies.

## Abstract

Wilms tumor (WT), the most common pediatric renal malignancy, shares some clinical and pathological features with chronic kidney disease (CKD). Understanding biomarkers of kidney injury among CKD and WT patients is of high interest due to its potential implications for diagnosis, prognosis, and treatment strategies. This study enrolled twenty pediatric patients with WT (stage I–IV), forty with CKD (stage I–V), and twenty healthy volunteers. Urine samples were collected and six urine biomarkers (calbindin, clusterin, GST-π, IL-18, KIM-1, MCP-1) associated with kidney injury were assessed using the Bio-Plex Pro RBM Human Kidney Toxicity Assays kit (Bio-Plex Manager software 4.0). A comparative analysis of biomarker levels across the three groups revealed distinct patterns. Creatinine levels were notably elevated in CKD (1.32 ± 1.9) compared to WT (0.64 ± 0.26) and the control group. Tested biomarkers were calculated per milligram of urine creatinine, and all the differences among the groups were statistically significant. Pearson’s correlation coefficients showed strong interplay among CKD biomarkers. This study identified variations in biomarker patterns among WT and CKD patients. Understanding biomarker interactions may provide future diagnostic approaches for pediatric kidney conditions.

## Linked entities

- **Proteins:** calb1.L (calbindin 1 L homeolog), LOC105211155 (uncharacterized LOC105211155), GSTP1 (glutathione S-transferase pi 1), IL18 (interleukin 18), HAVCR1 (hepatitis A virus cellular receptor 1), CCL2 (C-C motif chemokine ligand 2)
- **Diseases:** Wilms tumor (MONDO:0006058), chronic kidney disease (MONDO:0005300)

## Full-text entities

- **Genes:** IL18 (interleukin 18) [NCBI Gene 3606] {aka IGIF, IL-18, IL-1g, IL1F4}, CLU (clusterin) [NCBI Gene 1191] {aka AAG4, APO-J, APOJ, CLI, CLU1, CLU2}, CALB1 (calbindin 1) [NCBI Gene 793] {aka CALB, D-28K}, CCL2 (C-C motif chemokine ligand 2) [NCBI Gene 6347] {aka GDCF-2, HC11, HSMCR30, MCAF, MCP-1, MCP1}, HAVCR1 (hepatitis A virus cellular receptor 1) [NCBI Gene 26762] {aka CD365, HAVCR, HAVCR-1, KIM-1, KIM1, TIM}
- **Diseases:** Kidney Toxicity (MESH:D007674), CKD (MESH:D051436), renal malignancy (MESH:D009369), WT (MESH:D009396)
- **Chemicals:** Creatinine (MESH:D003404)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12249795/full.md

## References

41 references — full list in the complete paper: https://tomesphere.com/paper/PMC12249795/full.md

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Source: https://tomesphere.com/paper/PMC12249795