Exploring Serum Metabolic Markers for the Discrimination of Ccrcc From Renal Angiomyolipoma By Metabolomics

Abstract

Aim: The discrimination of renal cell carcinoma from renal angiomyolipoma (RAML) is crucial for the effective treatment of each. Materials & methods: Serum samples were analyzed by nuclear magnetic resonance spectroscopy-based metabolomics and a number of metabolites were further quantified by HPLC–UV. Results: Clear-cell renal carcinoma (ccRCC) was characterized by drastic disruptions in energy, amino acids, creatinine and uric acid metabolic pathways. A logistic model for the differential diagnosis of RAML from ccRCC was established using the combination of serum levels of uric acid, the ratio of uric acid to hypoxanthine and the ratio of hypoxanthine to creatinine as variables with area under the curve of the receiver operating characteristic curve value of 0.907. Conclusion: Alterations in serum purine metabolites may be used as potential metabolic markers for the differential diagnosis of ccRCC and RAML.

Keywords:

• diagnostic metabolic markers
• metabonomics
• puring metabolism
• renal angiomyolipoma
• renal cell carcinoma

Financial & competing interests disclosure

The work was supported by a grant from the National Natural Science Foundation of jiangxi province (no. 20181BAB205055), key research and development program of Jiangxi province (no. 20181BBG70029 and 20171BBG70086) and the Innovation Fund Designated for Graduate Students of Nanchang University (cx2018233, cx2018234). The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

No writing assistance was utilized in the production of this manuscript.

Ethical conduct of research

This study was approved by the ethics committee of the Second Affiliated Hospital of Nanchang University and all subjects were given written informed consent regarding study participation.

Additional information

Funding

The work was supported by a grant from the National Natural Science Foundation of jiangxi province (no. 20181BAB205055), key research and development program of Jiangxi province (no. 20181BBG70029 and 20171BBG70086) and the Innovation Fund Designated for Graduate Students of Nanchang University (cx2018233, cx2018234). The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.