Altered Plasma, Urine, and Tissue Profiles of Sulfatides and Sphingomyelins in Patients with Renal Cell Carcinoma

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25310%2F22%3A39918829" target="_blank" >RIV/00216275:25310/22:39918829 - isvavai.cz</a>

Alternative codes found

RIV/00098892:_____/22:10157354

Result on the web

<a href="https://www.mdpi.com/2072-6694/14/19/4622#metrics" target="_blank" >https://www.mdpi.com/2072-6694/14/19/4622#metrics</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/cancers14194622" target="_blank" >10.3390/cancers14194622</a>

Result language

angličtina

Original language name

Altered Plasma, Urine, and Tissue Profiles of Sulfatides and Sphingomyelins in Patients with Renal Cell Carcinoma

Original language description

RCC, the most common type of kidney cancer, is associated with high mortality. A non-invasive diagnostic test remains unavailable due to the lack of RCC-specific biomarkers in body fluids. We have previously described a significantly altered profile of sulfatides in RCC tumor tissues, motivating us to investigate whether these alterations are reflected in collectible body fluids and whether they can enable RCC detection. Methods: We collected and further analyzed 143 plasma, 100 urine, and 154 tissue samples from 155 kidney cancer patients, together with 207 plasma and 70 urine samples from 214 healthy controls. Results: For the first time, we show elevated concentrations of lactosylsulfatides and decreased levels of sulfatides with hydroxylated fatty acyls in body fluids of RCC patients compared to controls. These alterations are emphasized in patients with the advanced tumor stage. Classification models are able to distinguish between controls and patients with RCC. In the case of all plasma samples, the AUC for the testing set was 0.903 (0.844–0.954), while for urine samples it was 0.867 (0.763–0.953). The models are able to efficiently detect patients with early and late-stage RCC based on plasma samples as well. The test set sensitivities were 80.6% and 90%, and AUC values were 0.899 (0.832–0.952) and 0.981 (0.956–0.998), respectively. Conclusion: Similar trends in body fluids and tissues indicate that RCC influences lipid metabolism, and highlight the potential of the studied lipids for minimally-invasive cancer detection, including patients with early tumor stages, as demonstrated by the predictive ability of the applied classification models.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10406 - Analytical chemistry

Project

<a href="/en/project/GA18-12204S" target="_blank" >GA18-12204S: Characterization of human lipidome and metabolome for personalized healthcare and biomarker discovery: case study of kidney cancer</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Cancers

ISSN

2072-6694

e-ISSN

2072-6694

Volume of the periodical

14

Issue of the periodical within the volume

19

Country of publishing house

CH - SWITZERLAND

Number of pages

18

Pages from-to

4622

UT code for WoS article

000866701300001

EID of the result in the Scopus database

2-s2.0-85139932391