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Dataset Information

Revealing potential lipid biomarkers in clear cell renal cell carcinoma using targeted quantitative lipidomics.


ABSTRACT:

Background

The high drug resistance and metabolic reprogramming of clear cell renal cell carcinoma (ccRCC) are considered responsible for poor prognosis. In-depth research at multiple levels is urgently warranted to illustrate the lipid composition, distribution, and metabolic pathways of clinical ccRCC specimens.

Methods

In this project, a leading-edge targeted quantitative lipidomic study was conducted using 10 pairs of cancerous and adjacent normal tissues obtained from ccRCC patients. Accurate lipid quantification was performed according to a linear equation calculated using internal standards. Qualitative and quantitative analyses of lipids were performed with multiple reaction monitoring analysis based on ultra-performance liquid chromatography (UPLC) and mass spectrom

SUBMITTER: Li W 

PROVIDER: S-EPMC8590225 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature