ArticleBiochemistry and biophysics reports2022
Molecular signature of renal cell carcinoma by means of a multiplatform metabolomics analysis.
Article in Biochemistry and biophysics reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Urinary Biomarkers in Urological Oncology: From Biological Origin to Clinical Decision-Making-A Narrative Review.Diagnostics (Basel, Switzerland) · 2026Review
- Distinct protein and metabolic profiles in patients with advanced clear-cell renal cell carcinoma treated with sunitinib: a study of the Spanish oncology genitourinary group.Frontiers in oncology · 2026Article
- Development and validation of a plasma-urine metabolism diagnostic model for renal cell carcinoma using machine learning.World journal of urology · 2025Article
- Untargeted metabolomic profiling of serum and urine in kidney cancer: a non-invasive approach for biomarker discovery.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Metabolic signature of renal cell carcinoma tumours and its correlation with the urinary metabolome.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Multiplatform untargeted metabolomics.Magnetic resonance in chemistry : MRC · 2023Review
- Metabolomic Analysis of Renal Cell Carcinoma in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial.Metabolites · 2022Article
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Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Renal cell carcinoma (RCC) is a disease with no specific diagnostic method or treatment. Thus, the evaluation of novel diagnostic tools or treatment possibilities is essential. In this study, a multiplatform untargeted metabolomics analysis of urine was applied to search for a metabolic pattern specific for RCC, which could enable comprehensive assessment of its biochemical background. Thirty patients with diagnosed RCC and 29 healthy volunteers were involved in the first stage of the study. Initially, the utility of the application of the selected approach was checked for RCC with no differentiation for cancer subtypes. In the second stage, this approach was used to study clear cell renal cell carcinoma (ccRCC) in 38 ccRCC patients and 38 healthy volunteers. Three complementary analytical platforms were used: reversed-phase liquid chromatography coupled with time-of-flight mass spectrometry (RP-HPLC-TOF/MS), capillary electrophoresis coupled with time-of-flight mass spectrometry (CE-TOF/MS), and gas chromatography triple quadrupole mass spectrometry (GC-QqQ/MS). As a result of urine sample analyses, two panels of metabolites specific for RCC and ccRCC were selected. Disruptions in amino acid, lipid, purine, and pyrimidine metabolism, the TCA cycle and energetic processes were observed. The most interesting differences were observed for modified nucleosides. This is the first time that the levels of these compounds were found to be changed in RCC and ccRCC patients, providing a framework for further studies. Moreover, the application of the CE-MS technique enabled the determination of statistically significant changes in symmetric dimethylarginine (SDMA) in RCC.
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