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

Oto, Júlia; Fernández-Pardo, Álvaro; Roca, Marta; Plana, Emma; Solmoirago, Ma José; Sánchez-González, José Vicente; Donoso, C.D. Vera; Martínez-Sarmiento, Manuel; España, Francisco; Navarro, Silvia; Medina, Pilar

doi:10.1016/j.jprot.2020.103723

Cited by 21 publications

(27 citation statements)

References 36 publications

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“…However, as these lipid levels decreased significantly after surgery, their utility for breast cancer diagnosis merits further investigation 123 . Urinary metabolomic markers are the most commonly used diagnostic and prognostic lipid markers for bladder and renal cell carcinomas 124–127 . Similarly, analysis of exhaled breath is also a promising noninvasive diagnostic tool for the detection of lung cancer 128 …”

Section: Exploiting Cancer‐associated Lipid Pool Alterations and Memb...mentioning

confidence: 99%

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Lipidomic landscape in cancer: Actionable insights for membrane‐based therapy and diagnoses

Agarwala

Aneja

Kapoor

2021

Medicinal Research Reviews

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Cancer cells display altered cellular lipid metabolism, including disruption in endogenous lipid synthesis, storage, and exogenous uptake for membrane biogenesis and functions. Altered lipid metabolism and, consequently, lipid composition impacts cellular function by affecting membrane structure and properties, such as fluidity, rigidity, membrane dynamics, and lateral organization. Herein, we provide an overview of lipid membranes and how their properties affect cellular functions. We also detail how the rewiring of lipid metabolism impacts the lipidomic landscape of cancer cell membranes and influences the characteristics of cancer cells. Furthermore, we discuss how the altered cancer lipidome provides cues for developing lipid‐inspired innovative therapeutic and diagnostic strategies while improving our limited understanding of the role of lipids in cancer initiation and progression. We also present the arcade of membrane characterization techniques to cement their relevance in cancer diagnosis and monitoring of treatment response.

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Section: Exploiting Cancer‐associated Lipid Pool Alterations and Memb...mentioning

confidence: 99%

“…123 Urinary metabolomic markers are the most commonly used diagnostic and prognostic lipid markers for bladder and renal cell carcinomas. [124][125][126][127] Similarly, analysis of exhaled breath is also a promising noninvasive diagnostic tool for the detection of lung cancer. 128…”

Section: Biomarkers Identified From In Vivo Evaluationmentioning

confidence: 99%

Lipidomic landscape in cancer: Actionable insights for membrane‐based therapy and diagnoses

Agarwala

Aneja

Kapoor

2021

Medicinal Research Reviews

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“…Another recent pilot study performed urine metabolomics untargeted metabolomic analysis of RCC. Interestingly, the analysis of RCC urine samples one year post-nephrectomy reveals isobutyryl-l-carnitine and l-proline betaine as potential prognostic markers [68].…”

Section: Other -Omics Prognostic Significance In Rccmentioning

confidence: 99%

Prognostic significance of proteomics and multi-omics studies in renal carcinoma

Raimondo

Pitto

2020

Expert Review of Proteomics

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Introduction Renal carcinoma and in particular its most common variant, the clear cell subtype, is often diagnosed incidentally through abdominal imaging. Rather frequently, the tumour is discovered at an early stage. However, 20% to 40% of patients undergoing nephrectomy for clinically localized renal cancer, even after accurate histological and clinical classification, will develop metastasis or recurrence, justifying the associated mortality rate. Therefore, even if renal carcinoma is not among the most frequent nor deadly cancers, a better prognostication is needed.Areas covered Recently proteomics or other -omics combinations have been applied to both cancer tissues, on the neoplasia itself and surrounding microenvironment, cultured cells and biological fluids (so-called liquid biopsy) generating a list of prognostic molecular tools that will be reviewed in the present paper. Expert opinion.Although promising, none of the approaches listed above has been yet translated in clinics. This is likely due to the peculiar genetic and phenotypic heterogeneity of this cancer, which makes nearly each tumour different from all the others. Attempts to overcome this issue will be also revised. In particular we will discuss how the application of -omics integrated approaches could provide the determinants of response to the different targeted drugs.

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“…The new concept of a liquid biopsy has been extensively investigated as a valid alternative to the classical solid biopsies in biomarker discovery [ 11 , 12 , 13 , 14 , 15 ]. In the last decades, different proteomics and metabolomics approaches based on mass spectrometry (MS) have been used to investigate urinary content for the purpose of biomarker discovery and, in particular, studying kidney diseases with a special focus on tumor development, progression, and staging [ 16 , 17 , 18 , 19 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

Does the Urinary Proteome Reflect ccRCC Stage and Grade Progression?

et al. 2021

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Due its ability to provide a global snapshot of kidney physiology, urine has emerged as a highly promising, non-invasive source in the search for new molecular indicators of disease diagnosis, prognosis, and surveillance. In particular, proteomics represents an ideal strategy for the identification of urinary protein markers; thus, a urinomic approach could also represent a powerful tool in the investigation of the most common kidney cancer, which is clear cell Renal Cell Carcinoma (ccRCC). Currently, these tumors are classified after surgical removal using the TNM and nuclear grading systems and prognosis is usually predicted based upon staging. However, the aggressiveness and clinical outcomes of ccRCC remain heterogeneous within each stratified group, highlighting the need for novel molecular indicators that can predict the progression of these tumors. In our study, we explored the association between the urinary proteome and the ccRCC staging and grading classification. The urine proteome of 44 ccRCC patients with lesions of varying severity was analyzed via label-free proteomics. MS data revealed several proteins with altered abundance according to clinicopathological stratification. Specifically, we determined a panel of dysregulated proteins strictly related to stage and grade, suggesting the potential utility of MS-based urinomics as a complementary tool in the staging process of ccRCC.

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

Cited by 21 publications

References 36 publications

Lipidomic landscape in cancer: Actionable insights for membrane‐based therapy and diagnoses

Lipidomic landscape in cancer: Actionable insights for membrane‐based therapy and diagnoses

Prognostic significance of proteomics and multi-omics studies in renal carcinoma

Does the Urinary Proteome Reflect ccRCC Stage and Grade Progression?

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