[Genomic alterations of invasive melanoma cells].

Invazív fenotípussal összefüggő genomikai változások malignus melanómasejtekben.

Journal

Magyar onkologia
ISSN: 2060-0399
Titre abrégé: Magy Onkol
Pays: Hungary
ID NLM: 9313833

Informations de publication

Date de publication:
05 Oct 2022
Historique:
received: 18 08 2022
accepted: 22 08 2022
entrez: 6 10 2022
pubmed: 7 10 2022
medline: 12 10 2022
Statut: ppublish

Résumé

Tumour cell invasion is the first step in metastasis, during which cells are able to infiltrate surrounding tissues. We aimed to investigate genetic and epigenetic differences associated with the invasiveness in melanoma. To determine the invasiveness of cells, we used Matrigel invasion chamber. Genetic analyses were performed by array CGH, DNA methylation was assessed by Illumina array, gene expression changes were determined by Affymetrix array. Our results showed significantly higher copy numbers of GDNF, GPAA1, PLEC and SHARPIN genes in invasive cells compared to non-invasive ones. We observed that the invasive cells were characterized by a hypermethylated pattern. Most of the hypermethylated genes were associated with decreased expression, however, increased gene expression was observed for EGFR and RBP4 genes with hypermethylation extending into the gene body. Hypermethylation of the ARHGAP22 and NAV2 genes characterized invasive cells and melanoma metastasis samples. Our results point to the hypermethylation pattern of invasive cells, which may be related to the invasive property.

Identifiants

pubmed: 36200505
pii: MagyOnkol.2022.66.3.243

Substances chimiques

Glial Cell Line-Derived Neurotrophic Factor 0
RBP4 protein, human 0
Retinol-Binding Proteins, Plasma 0
ErbB Receptors EC 2.7.10.1

Types de publication

Journal Article

Langues

hun

Sous-ensembles de citation

IM

Pagination

243-245

Auteurs

Viktória Koroknai (V)

Népegészség- és Járványtani Intézet, Debreceni Egyetem, Általános Orvostudományi Kar, ELKH-DE Népegészségügyi Kutatócsoportja, Debrecen, Hungary. koroknai.viktoria@med.unideb.hu.

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Classifications MeSH