Urine metabolomic analysis in clear cell and papillary renal cell carcinoma: A pilot study

• Published in: Journal of proteomics Vol. 218; p. 103723
• Main Authors: Oto, Julia, Fernández-Pardo, Álvaro, Roca, Marta, Plana, Emma, Solmoirago, Mª. José, Sánchez-González, José V., Vera-Donoso, César D., Martínez-Sarmiento, Manuel, España, Francisco, Navarro, Silvia, Medina, Pilar
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 30.04.2020
• Subjects: Biomarker; Metabolomics; Renal cell carcinoma; Urine; Urine; Metabolomics; Biomarker; Renal cell carcinoma
• ISSN: 1874-3919; 1876-7737
• DOI: 10.1016/j.jprot.2020.103723

Renal cell carcinoma (RCC) is one of the most lethal type of tumors and is twice more frequent in men than in women. Initial symptoms are unspecific and belated thus increasing mortality. Moreover, current diagnostic and monitoring tools are harmful for the patient and unspecific in low-grade tumors. Therefore, novel minimally-invasive markers are needed to diagnose and monitor RCC patients. Urine represents the ideal sample source of non-invasive biomarkers for RCC. In our study we aimed to identify a urine metabolomic profile characteristic of RCC patients with diagnostic purposes and also to identify a profile with prognostic value. By an UPLC-Q-ToF MS untargeted metabolomic analysis, we compared the metabolomic profile of 23 RCC patients (14 clear cell RCC and 9 papillary RCC) before surgery and that of 23 healthy controls. Additionally, for the first time, we compared the metabolomic profile of these RCC patients pre-nephrectomy and 3 months and one year post-nephrectomy. We identified the dysregulated metabolomic variables by querying their exact mass against those presented in the Metlin and Human Metabolome Database. Next, we experimentally confirmed their identity. Both RCC subtypes showed similar metabolomic patterns at all stages. 51 metabolomic variables were significantly increased in RCC compared to controls and, among them, 4 were selected as potential discriminant metabolites between groups. We could experimentally confirm the identity of p-cresol glucuronide thus describing for the first time an increase in this metabolite in urine of RCC patients (fold change = 2.922, P = .012). Additionally, we confirmed that no metabolomic differences occur 3 months post-nephrectomy in RRC, while 188 variables were significantly increased one year post-nephrectomy. Of the 15 most discriminant metabolomic variables, we could experimentally confirm the identity of isobutyryl-l-carnitine (fold change = 2.098, P = .004) and l-proline betaine (fold change = 3.328, P = .004), for the first time. In summary, we have identified urine p-cresol glucuronide as potential diagnostic marker for RCC and isobutyryl-l-carnitine and l-proline betaine as potential prognostic markers. When confirmed in an independent cohort of RCC patients, these markers may improve the diagnosis and monitoring of RCC patients thus reducing current harmful diagnostic procedures. The high-radiation dose of current imaging techniques available to diagnose and monitor renal cell carcinoma (RCC) are harmful for the patient and unspecific in low-grade tumors. Our untargeted metabolomic analysis carried out in urine samples from RCC patients and healthy individual reveals p-cresol glucuronide as potential diagnostic marker for RCC. Additionally, the analysis of RCC urine samples one year post-nephrectomy reveals isobutyryl-l-carnitine and l-proline betaine as potential prognostic markers. These novel non-invasive urine biomarkers may improve RCC management thus reducing the use of current harmful diagnostic techniques. [Display omitted] •Current diagnostic techniques for renal cell carcinoma (RCC) are harmful for the patient and unspecific in low-grade tumors.•Urine untargeted metabolomics may be a suitable and non-invasive source of RCC biomarkers.•Urine p-cresol glucuronide may represent a potential diagnostic marker for RCC.•Urine isobutyryl-l-carnitine and l-proline betaine may represent potential prognostic markers for RCC.