Metabolomic characterisation of progression and spontaneous regression of melanoma in the melanoma-bearing Libechov minipig model

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985904%3A_____%2F21%3A00542473" target="_blank" >RIV/67985904:_____/21:00542473 - isvavai.cz</a>

Result on the web

<a href="https://asep.lib.cas.cz/arl-cav/cs/csg/?repo=crepo1&key=73032377889" target="_blank" >https://asep.lib.cas.cz/arl-cav/cs/csg/?repo=crepo1&key=73032377889</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1097/CMR.0000000000000722" target="_blank" >10.1097/CMR.0000000000000722</a>

Result language

angličtina

Original language name

Metabolomic characterisation of progression and spontaneous regression of melanoma in the melanoma-bearing Libechov minipig model

Original language description

Melanoma-bearing Libechov minipig (MeLiM) represents a large animal model for melanoma research. This model shows a high incidence of complete spontaneous regression of melanoma - a phenomenon uncommon in humans. Here, we present the first metabolomic characterisation of the MeLiM model comparing animals with progressing and spontaneously regressing melanomas. Plasma samples of 19 minipigs with progression and 27 minipigs with evidence of regression were analysed by a targeted metabolomic assay based on mass spectrometry detection. Differences in plasma metabolomics patterns were investigated by univariate and multivariate statistical analyses. Overall, 185 metabolites were quantified in each plasma sample. Significantly altered metabolomic profile was found, and 42 features were differentially regulated in plasma. Besides, the machine learning approach was used to create a predictive model utilising Arg/Orn and Arg/ADMA ratios to discriminate minipigs with progressive disease development from minipigs with regression evidence. Our results suggest that progression of melanoma in the MeLiM model is associated with alteration of arginine, glycerophospholipid and acylcarnitines metabolism. Moreover, this study provides targeted metabolomics characterisation of an animal model of melanoma with progression and spontaneous regression of tumours.

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

30204 - Oncology

Project

<a href="/en/project/LO1609" target="_blank" >LO1609: Models of the Serious Human Diseases: Traumatic Spinal Cord Injury, Huntington’s Disease, Melanoma and Infertility</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

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

Name of the periodical

Melanoma Research

ISSN

0960-8931

e-ISSN

1473-5636

Volume of the periodical

31

Issue of the periodical within the volume

2

Country of publishing house

GB - UNITED KINGDOM

Number of pages

12

Pages from-to

140-151

UT code for WoS article

000639295700005

EID of the result in the Scopus database

2-s2.0-85102605328