Related Experiment Video
Updated: May 15, 2025

Comparing Metastatic Clear Cell Renal Cell Carcinoma Model Established in Mouse Kidney and on Chicken Chorioallantoic Membrane
Published on: February 8, 2020
A pilot metabolomics study on clear cell renal cell carcinoma
Ying Gan1,2,3,4, Zheng Li1,2,3,4, Mingjian Ruan1,2,3,4
1Department of Urology, Peking University First Hospital, Beijing, 100034, China.
Clear cell renal cell carcinoma (ccRCC) is a metabolic disease. Metabolomics identified key metabolite changes and pathways, offering potential biomarkers for ccRCC diagnosis.
Area of Science:
- Oncology
- Metabolomics
- Biochemistry
Background:
- Clear cell renal cell carcinoma (ccRCC) is recognized as a metabolic disease.
- Understanding metabolic alterations is crucial for diagnosing and treating ccRCC.
Purpose of the Study:
- To investigate metabolic changes in ccRCC using untargeted metabolomics.
- To identify potential diagnostic biomarkers for ccRCC.
Main Methods:
- Analyzed 15 ccRCC samples and paired adjacent non-malignant tissues.
- Utilized ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) for untargeted metabolomics.
- Performed KEGG pathway enrichment analysis.
Main Results:
- Screened 511 differential metabolites between ccRCC and normal tissues.
- Identified significantly up-regulated metabolites including histamine, cortisol, and citric acid.
- Identified significantly down-regulated metabolites such as D-cysteine, acetylcholine, and pantothenic acid.
- Highlighted pathways include steroid hormone biosynthesis, pyrimidine metabolism, and vitamin digestion and absorption.
Conclusions:
- ccRCC exhibits distinct metabolic patterns.
- Metabolite profiles and pathways identified may serve as potential biomarkers for ccRCC diagnosis.
More Related Videos
12:22The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers
Published on: January 22, 2013
06:38A Syngeneic Mouse Model of Metastatic Renal Cell Carcinoma for Quantitative and Longitudinal Assessment of Preclinical Therapies
Published on: April 12, 2017