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Validating a clinically based MS-MLPA threshold through comparison with Sanger sequencing in glioblastoma patients
H. Lhotska, K. Janeckova, H. Cechova, J. Macoun, T. Aghova, L. Lizcova, K. Svobodova, L. Hodanova, D. Konecna, J. Soukup, F. Kramar, D. Netuka, Z. Zemanova
Jazyk angličtina Země Německo
Typ dokumentu časopisecké články, validační studie, srovnávací studie
Grantová podpora
NU21-04-00100
Agentura Pro Zdravotnický Výzkum České Republiky
NU21-04-00100
Agentura Pro Zdravotnický Výzkum České Republiky
NU21-04-00100
Agentura Pro Zdravotnický Výzkum České Republiky
NU21-04-00100
Agentura Pro Zdravotnický Výzkum České Republiky
NU21-04-00100
Agentura Pro Zdravotnický Výzkum České Republiky
NU21-04-00100
Agentura Pro Zdravotnický Výzkum České Republiky
NU21-04-00100
Agentura Pro Zdravotnický Výzkum České Republiky
NU21-04-00100
Agentura Pro Zdravotnický Výzkum České Republiky
NU21-04-00100
Agentura Pro Zdravotnický Výzkum České Republiky
NU21-04-00100
Agentura Pro Zdravotnický Výzkum České Republiky
NU21-04-00100
Agentura Pro Zdravotnický Výzkum České Republiky
NU21-04-00100
Agentura Pro Zdravotnický Výzkum České Republiky
MH CZ - DRO 0064165
Ministerstvo Zdravotnictví Ceské Republiky
MH CZ - DRO 0064165
Ministerstvo Zdravotnictví Ceské Republiky
MH CZ - DRO 0064165
Ministerstvo Zdravotnictví Ceské Republiky
MH CZ - DRO 0064165
Ministerstvo Zdravotnictví Ceské Republiky
MH CZ - DRO 0064165
Ministerstvo Zdravotnictví Ceské Republiky
MH CZ - DRO 0064165
Ministerstvo Zdravotnictví Ceské Republiky
MH CZ - DRO 0064165
Ministerstvo Zdravotnictví Ceské Republiky
MH CZ - DRO 0064165
Ministerstvo Zdravotnictví Ceské Republiky
NLK
BioMedCentral
od 2010-09-01
BioMedCentral Open Access
od 2011
Directory of Open Access Journals
od 2011
Free Medical Journals
od 2011
PubMed Central
od 2010
Europe PubMed Central
od 2010
ProQuest Central
od 2015-01-01
Open Access Digital Library
od 2010-01-01
Open Access Digital Library
od 2011-01-01
Health & Medicine (ProQuest)
od 2015-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2010
Springer Nature OA/Free Journals
od 2010-09-01
- MeSH
- CpG ostrůvky genetika MeSH
- DNA modifikační methylasy * genetika MeSH
- dospělí MeSH
- enzymy opravy DNA * genetika MeSH
- glioblastom * genetika farmakoterapie MeSH
- lidé středního věku MeSH
- lidé MeSH
- metylace DNA * genetika MeSH
- nádorové supresorové proteiny * genetika MeSH
- nádory mozku * genetika MeSH
- promotorové oblasti (genetika) * genetika MeSH
- retrospektivní studie MeSH
- sekvenční analýza DNA metody MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- temozolomid terapeutické užití MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- srovnávací studie MeSH
- validační studie MeSH
BACKGROUND: Glioblastoma is the commonest malignant brain tumor and has a very poor prognosis. Reduced expression of the MGMT gene (10q26.3), influenced primarily by the methylation of two differentially methylated regions (DMR1 and DMR2), is associated with a good response to temozolomide treatment. However, suitable methods for detecting the methylation of the MGMT gene promoter and setting appropriate cutoff values are debated. RESULTS: A cohort of 108 patients with histologically and genetically defined glioblastoma was retrospectively examined with methylation-specific Sanger sequencing (sSeq) and methylation-specific multiplex ligation-dependent probe amplification (MS-MLPA) methods. The DMR2 region was methylated in 29% of samples, whereas DMR1 was methylated in 12% of samples. Methylation detected with the MS-MLPA method using probes MGMT_215, MGMT_190, and MGMT_124 from the ME012-A1 kit (located in DMR1 and DMR2) correlated with the methylation of the corresponding CpG dinucleotides detected with sSeq (p = 0.005 for probe MGMT_215; p < 0.001 for probe MGMT_190; p = 0.016 for probe MGMT_124). The threshold for methylation detection with the MS-MLPA method was calculated with a ROC curve analysis and principal components analysis of the data obtained with the MS-MLPA and sSeq methods, yielding a weighted value of 0.362. Thus, methylation of the MGMT gene promoter was confirmed in 36% of samples. These patients had statistically significantly better overall survival (p = 0.003). CONCLUSIONS: Our results show that the threshold for methylation detection with the MS-MLPA method determined here is useful from a diagnostic perspective because it allows the stratification of patients who will benefit from specific treatment protocols, including temozolomide. Detailed analysis of the MGMT gene promoter enables the more-precise and personalized treatment of patients with glioblastoma.
Citace poskytuje Crossref.org
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