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Metabolomic characterisation of progression and spontaneous regression of melanoma in the melanoma-bearing Libechov minipig model
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SYSNO ASEP 0542473 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Metabolomic characterisation of progression and spontaneous regression of melanoma in the melanoma-bearing Libechov minipig model Tvůrce(i) Kertys, M. (SK)
Grendar, M. (SK)
Horák, Vratislav (UZFG-Y) RID, ORCID
Zideková, N. (SK)
Kupcová Skalníková, Helena (UZFG-Y) RID, ORCID
Mokrý, J. (SK)
Halašová, E. (SK)
Strnádel, J. (SK)Zdroj.dok. Melanoma Research. - : Lippincott Williams & Wilkins - ISSN 0960-8931
Roč. 31, č. 2 (2021), s. 140-151Poč.str. 12 s. Forma vydání Tištěná - P Jazyk dok. eng - angličtina Země vyd. GB - Velká Británie Klíč. slova LC-MS ; melanoma ; melanoma-bearing Libechov minipig Vědní obor RIV FD - Onkologie a hematologie Obor OECD Oncology CEP LO1609 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy EF16_019/0000785 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy Způsob publikování Omezený přístup Institucionální podpora UZFG-Y - RVO:67985904 UT WOS 000639295700005 EID SCOPUS 85102605328 DOI 10.1097/CMR.0000000000000722 Anotace 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. Pracoviště Ústav živočišné fyziologie a genetiky Kontakt Jana Zásmětová, knihovna@iapg.cas.cz, Tel.: 315 639 554 Rok sběru 2022 Elektronická adresa https://asep.lib.cas.cz/arl-cav/cs/csg/?repo=crepo1&key=73032377889
Počet záznamů: 1