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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Validation of urine p-cresol glucuronide as renal cell carcinoma non-invasive biomarker

Authors: Roca Marugán, Marta; Medina, Pilar;

Validation of urine p-cresol glucuronide as renal cell carcinoma non-invasive biomarker

Abstract

Description of the study: Renal cell carcinoma (RCC) stands among the most lethal urological malignancies. Most RCCs are incidentally diagnosed as initial symptoms are unspecific. Novel, minimally-invasive diagnostic and prognostic methods for RCC are needed, ideally in urine. Using UPLC-Q-ToF MS untargeted metabolomic analysis in urine, we previously revealed p-cresol glucuronide as potential RCC diagnostic marker. Additionally, urine samples one-year post-nephrectomy revealed isobutyryl-L-carnitine and L-proline betaine as potential RCC prognostic markers. Our present aim was to validate these differences in an independent cohort of RCC patients and healthy controls to strengthen their value as non-invasive biomarkers. In an independent cohort of 69 RCC patients and 52 controls we validated an increase in p-cresol glucuronide in urine from patients at diagnosis compared to controls (P=0.0043). It remained increased one-year post-nephrectomy (P=0.0288). The value of p-cresol glucuronide for RCC diagnosis was assessed with ROC curves analysis (AUC=0.66, 95% Confidence Interval 0.56-0.76). The role of isobutyryl-L-carnitine and L-proline betaine as prognostic markers could not be validated and will require a larger cohort. Our findings confirm the value of p-cresol glucuronide in urine as diagnostic marker for RCC in an independent cohort. This non-invasive method holds promise for enhancing patient care by reducing the need for potentially risky diagnostic procedures. Further metaproteomics-oriented approaches towards the tyrosine oxidation pathway and microbiota metagenomics studies may promote a holistic management of RCC. Description of the data: We provided data in .d format adquired with Agilent.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average