Glioblastoma epigenomics discloses a complex biology and potential therapeutic targets.

A glioblastoma-epigenomika komplex biológiai folyamatokat és potenciális terápiás célpontokat tár fel.
DNA CpG methylation glioblastoma pathways of gliomagenesis therapeutic targets

Journal

Ideggyogyaszati szemle
ISSN: 0019-1442
Titre abrégé: Ideggyogy Sz
Pays: Hungary
ID NLM: 17510500R

Informations de publication

Date de publication:
30 Jan 2024
Historique:
medline: 7 2 2024
pubmed: 7 2 2024
entrez: 7 2 2024
Statut: ppublish

Résumé

<p>Glioblastoma (GBM), a highly aggressive form of brain tumors, has been extensively studied using OMICS methods, and the most characteristic molecular determinants have been incorporated into the histopathological diagnosis. Research data, nevertheless, only partially have been adopted in clinical practice. Here we aimed to present results of our epige&shy;no&shy;mic GBM profiling to better understand early and late determinants of these tumors, and to share main elements of our findings with practicing professionals.</p>. <p>GBM specimens were surgically obtained after first diagnosis (GBM1) and at recurrence (GBM2). DNA was extracted from 24 sequential pairs of formalin-fixed, paraffin-embedded tumor tissues. The Reduced Representation Bisulfite Sequencing kit was used for library preparation. Pooled libraries were sequenced on an Illumina NextSeq 550 instrument. Methylation controls (MC) were obtained from a publicly available database. Bioinformatic analyses were performed to identify differentially methylated pathways and their elements in cohorts of MC, GBM1 and GBM2.</p>. <p>Several differentially methylated pathways involved in basic intracellular and brain tissue developmental processes were identified in the GBM1 vs. MC and GBM2 vs. MC comparisons. Among differentially me&shy;thylated pathways, those involved in immune regulation, neurotransmitter (particularly dopaminergic, noradrenergic and glutaminergic) responses and regulation of stem cell differentiation and proliferation stood out in the GBM2 vs. GBM1 comparisons.</p>. <p>Our study revealed biological complexity of early and late gliomagenesis encompassing mechanisms from basic intracellular through distorted neurodevelopmental processes to more specific immune and highjacked neurotransmitter pathways in the tumor microenvironment. These findings may offer considerations for therapeutic approaches.</p>. <p>Az agydaganat legs&uacute;lyosabb típus&aacute;t, a glioblastom&aacute;t (GBM) m&eacute;lyrehat&oacute;an tanulm&aacute;nyozt&aacute;k OMICS-m&oacute;dszerekkel az elm&uacute;lt &eacute;vekben, &eacute;s legjellegzetesebb molekul&aacute;ris meghat&aacute;roz&oacute;i a k&oacute;rsz&ouml;vettani diagn&oacute;&shy;zis r&eacute;sz&eacute;v&eacute; v&aacute;ltak. A kutat&aacute;si ismeretek azonban csak r&eacute;szben ker&uuml;ltek &aacute;t a klinikai gyakorlatba. Jelen tanulm&aacute;nyunk c&eacute;lja, hogy epigenomikai elemz&eacute;seink eredm&eacute;nyei alapj&aacute;n bemutassuk a GBM korai &eacute;s k&eacute;sői molekul&aacute;ris meghat&aacute;roz&oacute;it a gyakorl&oacute; szakemberek sz&aacute;m&aacute;ra.</p>. <p>A GBM-mint&aacute;kat az első diag&shy;n&oacute;zis ut&aacute;n (GBM1) &eacute;s ki&uacute;jul&aacute;skor (GBM2) nyert&uuml;k seb&eacute;szeti &uacute;ton. A DNS-t 24 p&aacute;r for&shy;&shy;malinnal fix&aacute;lt, paraffinba &aacute;gyazott da&shy;ga&shy;nat&shy;sz&ouml;vetből vontuk ki. A k&ouml;nyvt&aacute;rk&eacute;szí&shy;t&eacute;s a Reduced Representation Bisulfite Sequen&shy;cing kit alkalmaz&aacute;s&aacute;val t&ouml;rt&eacute;nt. A k&ouml;nyvt&aacute;ra&shy;kat egy Illumina NextSeq 550 k&eacute;sz&uuml;l&eacute;ken szek&shy;ven&aacute;ltuk. A metil&aacute;ci&oacute;s kontrollokat (MC)&nbsp;egy nyilv&aacute;nosan el&eacute;rhető adatb&aacute;zisb&oacute;l nyer&shy;t&uuml;k. Bioinformatikai elemz&eacute;seink sor&aacute;n azo&shy;nosítottuk a differenci&aacute;lisan metil&aacute;lt &uacute;tvo&shy;nalakat &eacute;s azok elemeit az MC-, GBM1- &eacute;s GBM2-csoportokban.</p>. <p>Sz&aacute;mos differenci&aacute;ltan metil&aacute;lt &uacute;tvonalat tal&aacute;ltunk a GBM1 vs. MC &eacute;s a GBM2 vs. MC &ouml;sszehasonlít&aacute;sok sor&aacute;n, amelyek intracellul&aacute;ris biol&oacute;giai &eacute;s agysz&ouml;vet-fejlőd&eacute;si folyamatokban vesznek r&eacute;szt. Ezzel szemben, a GBM2 vs. GBM1 differenci&aacute;ltan metil&aacute;lt &uacute;tvonalai k&ouml;z&uuml;l az immunszab&aacute;lyoz&aacute;sban, a neurotranszmitter- (k&uuml;l&ouml;n&ouml;sen a dopaminerg, noradrenerg &eacute;s glutaminerg) v&aacute;laszokban, valamint az őssejt-differenci&aacute;l&oacute;d&aacute;s &eacute;s -prolifer&aacute;ci&oacute; szab&aacute;lyoz&aacute;s&aacute;ban r&eacute;szt vevő &uacute;tvonalak emelhetők ki.</p>. <p>Elemz&eacute;s&uuml;nk a korai &eacute;s k&eacute;sői gliomagenezis biol&oacute;giai komplexit&aacute;s&aacute;t t&aacute;rta fel, ami az alapvető biol&oacute;giai elemektől az eltorzult idegfejlőd&eacute;si folyamatokon &aacute;t a tumor-mikrok&ouml;rnyezet specifikusabb immun- &eacute;s neurotranszmitter-folyamat&aacute;ig terjed. Ezek az eredm&eacute;nyek c&eacute;lpontokat jel&ouml;lnek meg &uacute;j ter&aacute;pi&aacute;s megk&ouml;zelít&eacute;sek sz&aacute;m&aacute;ra.</p>.

Sections du résumé

Background and purpose UNASSIGNED
<p>Glioblastoma (GBM), a highly aggressive form of brain tumors, has been extensively studied using OMICS methods, and the most characteristic molecular determinants have been incorporated into the histopathological diagnosis. Research data, nevertheless, only partially have been adopted in clinical practice. Here we aimed to present results of our epige&shy;no&shy;mic GBM profiling to better understand early and late determinants of these tumors, and to share main elements of our findings with practicing professionals.</p>.
Methods UNASSIGNED
<p>GBM specimens were surgically obtained after first diagnosis (GBM1) and at recurrence (GBM2). DNA was extracted from 24 sequential pairs of formalin-fixed, paraffin-embedded tumor tissues. The Reduced Representation Bisulfite Sequencing kit was used for library preparation. Pooled libraries were sequenced on an Illumina NextSeq 550 instrument. Methylation controls (MC) were obtained from a publicly available database. Bioinformatic analyses were performed to identify differentially methylated pathways and their elements in cohorts of MC, GBM1 and GBM2.</p>.
Results UNASSIGNED
<p>Several differentially methylated pathways involved in basic intracellular and brain tissue developmental processes were identified in the GBM1 vs. MC and GBM2 vs. MC comparisons. Among differentially me&shy;thylated pathways, those involved in immune regulation, neurotransmitter (particularly dopaminergic, noradrenergic and glutaminergic) responses and regulation of stem cell differentiation and proliferation stood out in the GBM2 vs. GBM1 comparisons.</p>.
Conclusion UNASSIGNED
<p>Our study revealed biological complexity of early and late gliomagenesis encompassing mechanisms from basic intracellular through distorted neurodevelopmental processes to more specific immune and highjacked neurotransmitter pathways in the tumor microenvironment. These findings may offer considerations for therapeutic approaches.</p>.
Background and purpose UNASSIGNED
<p>Az agydaganat legs&uacute;lyosabb típus&aacute;t, a glioblastom&aacute;t (GBM) m&eacute;lyrehat&oacute;an tanulm&aacute;nyozt&aacute;k OMICS-m&oacute;dszerekkel az elm&uacute;lt &eacute;vekben, &eacute;s legjellegzetesebb molekul&aacute;ris meghat&aacute;roz&oacute;i a k&oacute;rsz&ouml;vettani diagn&oacute;&shy;zis r&eacute;sz&eacute;v&eacute; v&aacute;ltak. A kutat&aacute;si ismeretek azonban csak r&eacute;szben ker&uuml;ltek &aacute;t a klinikai gyakorlatba. Jelen tanulm&aacute;nyunk c&eacute;lja, hogy epigenomikai elemz&eacute;seink eredm&eacute;nyei alapj&aacute;n bemutassuk a GBM korai &eacute;s k&eacute;sői molekul&aacute;ris meghat&aacute;roz&oacute;it a gyakorl&oacute; szakemberek sz&aacute;m&aacute;ra.</p>.
Methods UNASSIGNED
<p>A GBM-mint&aacute;kat az első diag&shy;n&oacute;zis ut&aacute;n (GBM1) &eacute;s ki&uacute;jul&aacute;skor (GBM2) nyert&uuml;k seb&eacute;szeti &uacute;ton. A DNS-t 24 p&aacute;r for&shy;&shy;malinnal fix&aacute;lt, paraffinba &aacute;gyazott da&shy;ga&shy;nat&shy;sz&ouml;vetből vontuk ki. A k&ouml;nyvt&aacute;rk&eacute;szí&shy;t&eacute;s a Reduced Representation Bisulfite Sequen&shy;cing kit alkalmaz&aacute;s&aacute;val t&ouml;rt&eacute;nt. A k&ouml;nyvt&aacute;ra&shy;kat egy Illumina NextSeq 550 k&eacute;sz&uuml;l&eacute;ken szek&shy;ven&aacute;ltuk. A metil&aacute;ci&oacute;s kontrollokat (MC)&nbsp;egy nyilv&aacute;nosan el&eacute;rhető adatb&aacute;zisb&oacute;l nyer&shy;t&uuml;k. Bioinformatikai elemz&eacute;seink sor&aacute;n azo&shy;nosítottuk a differenci&aacute;lisan metil&aacute;lt &uacute;tvo&shy;nalakat &eacute;s azok elemeit az MC-, GBM1- &eacute;s GBM2-csoportokban.</p>.
Results UNASSIGNED
<p>Sz&aacute;mos differenci&aacute;ltan metil&aacute;lt &uacute;tvonalat tal&aacute;ltunk a GBM1 vs. MC &eacute;s a GBM2 vs. MC &ouml;sszehasonlít&aacute;sok sor&aacute;n, amelyek intracellul&aacute;ris biol&oacute;giai &eacute;s agysz&ouml;vet-fejlőd&eacute;si folyamatokban vesznek r&eacute;szt. Ezzel szemben, a GBM2 vs. GBM1 differenci&aacute;ltan metil&aacute;lt &uacute;tvonalai k&ouml;z&uuml;l az immunszab&aacute;lyoz&aacute;sban, a neurotranszmitter- (k&uuml;l&ouml;n&ouml;sen a dopaminerg, noradrenerg &eacute;s glutaminerg) v&aacute;laszokban, valamint az őssejt-differenci&aacute;l&oacute;d&aacute;s &eacute;s -prolifer&aacute;ci&oacute; szab&aacute;lyoz&aacute;s&aacute;ban r&eacute;szt vevő &uacute;tvonalak emelhetők ki.</p>.
Conclusion UNASSIGNED
<p>Elemz&eacute;s&uuml;nk a korai &eacute;s k&eacute;sői gliomagenezis biol&oacute;giai komplexit&aacute;s&aacute;t t&aacute;rta fel, ami az alapvető biol&oacute;giai elemektől az eltorzult idegfejlőd&eacute;si folyamatokon &aacute;t a tumor-mikrok&ouml;rnyezet specifikusabb immun- &eacute;s neurotranszmitter-folyamat&aacute;ig terjed. Ezek az eredm&eacute;nyek c&eacute;lpontokat jel&ouml;lnek meg &uacute;j ter&aacute;pi&aacute;s megk&ouml;zelít&eacute;sek sz&aacute;m&aacute;ra.</p>.

Autres résumés

Type: Publisher (hun)
<p>Az agydaganat legs&uacute;lyosabb típus&aacute;t, a glioblastom&aacute;t (GBM) m&eacute;lyrehat&oacute;an tanulm&aacute;nyozt&aacute;k OMICS-m&oacute;dszerekkel az elm&uacute;lt &eacute;vekben, &eacute;s legjellegzetesebb molekul&aacute;ris meghat&aacute;roz&oacute;i a k&oacute;rsz&ouml;vettani diagn&oacute;&shy;zis r&eacute;sz&eacute;v&eacute; v&aacute;ltak. A kutat&aacute;si ismeretek azonban csak r&eacute;szben ker&uuml;ltek &aacute;t a klinikai gyakorlatba. Jelen tanulm&aacute;nyunk c&eacute;lja, hogy epigenomikai elemz&eacute;seink eredm&eacute;nyei alapj&aacute;n bemutassuk a GBM korai &eacute;s k&eacute;sői molekul&aacute;ris meghat&aacute;roz&oacute;it a gyakorl&oacute; szakemberek sz&aacute;m&aacute;ra.</p>.

Identifiants

pubmed: 38321856
doi: 10.18071/isz.77.0027
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

27-37

Auteurs

Zoltán Krabóth (Z)

Department of Pathology, School of Medicine, Clinical Center, University of Pécs, Pécs.

Márton Tompa (M)

Szentágothai Research Center, Genomic and Bioinformatic Core Facility, Pécs.

Péter Urbán (P)

Szentágothai Research Center, Genomic and Bioinformatic Core Facility, Pécs.

Bence Gálik (B)

Szentágothai Research Center, Genomic and Bioinformatic Core Facility, Pécs.

Béla Kajtár (B)

Department of Pathology, School of Medicine, Clinical Center, University of Pécs, Pécs.
Szentágothai Research Center, Genomic and Bioinformatic Core Facility, Pécs.

Attila Gyenesei (A)

Szentágothai Research Center, Genomic and Bioinformatic Core Facility, Pécs.

Bernadette Kálmán (B)

Department of Laboratory Medicine, School of Medicine, Clinical Center, University of Pécs, Pécs.

Classifications MeSH