Assessment of MGMT methylation status using high-performance liquid chromatography in newly diagnosed glioblastoma

The utility of O -methylguanine-DNA methyltransferase (MGMT) gene promoter methylation status as a prognostic marker in patients with glioblastoma (GBM) has been established. However, the number of CpG sites that must be methylated to cause transcriptional silencing remains unclear, and no significa...

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Published inClinical epigenetics Vol. 12; no. 1; p. 174
Main Authors Hanihara, Mitsuto, Miyake, Kunio, Watanabe, Atsushi, Yamada, Yuriko, Oishi, Naoki, Kawataki, Tomoyuki, Inukai, Takeshi, Kondo, Tetsuo, Kinouchi, Hiroyuki
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Abstract The utility of O -methylguanine-DNA methyltransferase (MGMT) gene promoter methylation status as a prognostic marker in patients with glioblastoma (GBM) has been established. However, the number of CpG sites that must be methylated to cause transcriptional silencing remains unclear, and no significant consensus exists on the optimal method of assessing MGMT methylation. We developed a new high-performance liquid chromatography (HPLC) method that enables accurate analysis of DNA methylation levels using long PCR products. In the present study, we analyzed the MGMT methylation status of 28 isocitrate dehydrogenase-wild-type GBMs treated with temozolomide using ion-exchange HPLC and set the optimal cutoff values. We designed three primers for separate regions (regions 1-3) that had 21 to 38 CpGs for PCR and validated the MGMT promoter methylation status using frozen samples. There was a strong correlation between HPLC and bisulfite sequencing results (R = 0.794). The optimal cutoff values for MGMT methylation in HPLC were determined to allow differentiation of patient prognosis by receiver operating characteristic curve analysis. The cutoff values were 34.15% for region 1, 8.84% for region 2, and 36.72% for region 3. Kaplan-Meyer curve analysis estimated that the most differentiated prognosis was enabled in the setting of 8.84% methylation of MGMT in region 2. Progression-free survival and overall survival were significantly longer for patients in this setting of region 2 methylation (p = 0.00365 and p = 0.00258, respectively). The combination of our HPLC method and the original primer setting provides a new standard method for determination of MGMT methylation status in patients with GBM and is useful for refining MGMT-based drug selection.
AbstractList Background The utility of O.sup.6-methylguanine-DNA methyltransferase (MGMT) gene promoter methylation status as a prognostic marker in patients with glioblastoma (GBM) has been established. However, the number of CpG sites that must be methylated to cause transcriptional silencing remains unclear, and no significant consensus exists on the optimal method of assessing MGMT methylation. We developed a new high-performance liquid chromatography (HPLC) method that enables accurate analysis of DNA methylation levels using long PCR products. In the present study, we analyzed the MGMT methylation status of 28 isocitrate dehydrogenase-wild-type GBMs treated with temozolomide using ion-exchange HPLC and set the optimal cutoff values. Results We designed three primers for separate regions (regions 1-3) that had 21 to 38 CpGs for PCR and validated the MGMT promoter methylation status using frozen samples. There was a strong correlation between HPLC and bisulfite sequencing results (R = 0.794). The optimal cutoff values for MGMT methylation in HPLC were determined to allow differentiation of patient prognosis by receiver operating characteristic curve analysis. The cutoff values were 34.15% for region 1, 8.84% for region 2, and 36.72% for region 3. Kaplan-Meyer curve analysis estimated that the most differentiated prognosis was enabled in the setting of 8.84% methylation of MGMT in region 2. Progression-free survival and overall survival were significantly longer for patients in this setting of region 2 methylation (p = 0.00365 and p = 0.00258, respectively). Conclusions The combination of our HPLC method and the original primer setting provides a new standard method for determination of MGMT methylation status in patients with GBM and is useful for refining MGMT-based drug selection. Keywords: MGMT, DNA methylation, Glioblastoma, HPLC, Prognostic factor
The utility of O -methylguanine-DNA methyltransferase (MGMT) gene promoter methylation status as a prognostic marker in patients with glioblastoma (GBM) has been established. However, the number of CpG sites that must be methylated to cause transcriptional silencing remains unclear, and no significant consensus exists on the optimal method of assessing MGMT methylation. We developed a new high-performance liquid chromatography (HPLC) method that enables accurate analysis of DNA methylation levels using long PCR products. In the present study, we analyzed the MGMT methylation status of 28 isocitrate dehydrogenase-wild-type GBMs treated with temozolomide using ion-exchange HPLC and set the optimal cutoff values. We designed three primers for separate regions (regions 1-3) that had 21 to 38 CpGs for PCR and validated the MGMT promoter methylation status using frozen samples. There was a strong correlation between HPLC and bisulfite sequencing results (R = 0.794). The optimal cutoff values for MGMT methylation in HPLC were determined to allow differentiation of patient prognosis by receiver operating characteristic curve analysis. The cutoff values were 34.15% for region 1, 8.84% for region 2, and 36.72% for region 3. Kaplan-Meyer curve analysis estimated that the most differentiated prognosis was enabled in the setting of 8.84% methylation of MGMT in region 2. Progression-free survival and overall survival were significantly longer for patients in this setting of region 2 methylation (p = 0.00365 and p = 0.00258, respectively). The combination of our HPLC method and the original primer setting provides a new standard method for determination of MGMT methylation status in patients with GBM and is useful for refining MGMT-based drug selection.
Abstract Background The utility of O 6 -methylguanine-DNA methyltransferase (MGMT) gene promoter methylation status as a prognostic marker in patients with glioblastoma (GBM) has been established. However, the number of CpG sites that must be methylated to cause transcriptional silencing remains unclear, and no significant consensus exists on the optimal method of assessing MGMT methylation. We developed a new high-performance liquid chromatography (HPLC) method that enables accurate analysis of DNA methylation levels using long PCR products. In the present study, we analyzed the MGMT methylation status of 28 isocitrate dehydrogenase–wild-type GBMs treated with temozolomide using ion-exchange HPLC and set the optimal cutoff values. Results We designed three primers for separate regions (regions 1–3) that had 21 to 38 CpGs for PCR and validated the MGMT promoter methylation status using frozen samples. There was a strong correlation between HPLC and bisulfite sequencing results ( R  = 0.794). The optimal cutoff values for MGMT methylation in HPLC were determined to allow differentiation of patient prognosis by receiver operating characteristic curve analysis. The cutoff values were 34.15% for region 1, 8.84% for region 2, and 36.72% for region 3. Kaplan–Meyer curve analysis estimated that the most differentiated prognosis was enabled in the setting of 8.84% methylation of MGMT in region 2. Progression-free survival and overall survival were significantly longer for patients in this setting of region 2 methylation ( p  = 0.00365 and p  = 0.00258, respectively). Conclusions The combination of our HPLC method and the original primer setting provides a new standard method for determination of MGMT methylation status in patients with GBM and is useful for refining MGMT -based drug selection.
The utility of O.sup.6-methylguanine-DNA methyltransferase (MGMT) gene promoter methylation status as a prognostic marker in patients with glioblastoma (GBM) has been established. However, the number of CpG sites that must be methylated to cause transcriptional silencing remains unclear, and no significant consensus exists on the optimal method of assessing MGMT methylation. We developed a new high-performance liquid chromatography (HPLC) method that enables accurate analysis of DNA methylation levels using long PCR products. In the present study, we analyzed the MGMT methylation status of 28 isocitrate dehydrogenase-wild-type GBMs treated with temozolomide using ion-exchange HPLC and set the optimal cutoff values. We designed three primers for separate regions (regions 1-3) that had 21 to 38 CpGs for PCR and validated the MGMT promoter methylation status using frozen samples. There was a strong correlation between HPLC and bisulfite sequencing results (R = 0.794). The optimal cutoff values for MGMT methylation in HPLC were determined to allow differentiation of patient prognosis by receiver operating characteristic curve analysis. The cutoff values were 34.15% for region 1, 8.84% for region 2, and 36.72% for region 3. Kaplan-Meyer curve analysis estimated that the most differentiated prognosis was enabled in the setting of 8.84% methylation of MGMT in region 2. Progression-free survival and overall survival were significantly longer for patients in this setting of region 2 methylation (p = 0.00365 and p = 0.00258, respectively). The combination of our HPLC method and the original primer setting provides a new standard method for determination of MGMT methylation status in patients with GBM and is useful for refining MGMT-based drug selection.
BACKGROUNDThe utility of O6-methylguanine-DNA methyltransferase (MGMT) gene promoter methylation status as a prognostic marker in patients with glioblastoma (GBM) has been established. However, the number of CpG sites that must be methylated to cause transcriptional silencing remains unclear, and no significant consensus exists on the optimal method of assessing MGMT methylation. We developed a new high-performance liquid chromatography (HPLC) method that enables accurate analysis of DNA methylation levels using long PCR products. In the present study, we analyzed the MGMT methylation status of 28 isocitrate dehydrogenase-wild-type GBMs treated with temozolomide using ion-exchange HPLC and set the optimal cutoff values. RESULTSWe designed three primers for separate regions (regions 1-3) that had 21 to 38 CpGs for PCR and validated the MGMT promoter methylation status using frozen samples. There was a strong correlation between HPLC and bisulfite sequencing results (R = 0.794). The optimal cutoff values for MGMT methylation in HPLC were determined to allow differentiation of patient prognosis by receiver operating characteristic curve analysis. The cutoff values were 34.15% for region 1, 8.84% for region 2, and 36.72% for region 3. Kaplan-Meyer curve analysis estimated that the most differentiated prognosis was enabled in the setting of 8.84% methylation of MGMT in region 2. Progression-free survival and overall survival were significantly longer for patients in this setting of region 2 methylation (p = 0.00365 and p = 0.00258, respectively). CONCLUSIONSThe combination of our HPLC method and the original primer setting provides a new standard method for determination of MGMT methylation status in patients with GBM and is useful for refining MGMT-based drug selection.
Background The utility of O6-methylguanine-DNA methyltransferase (MGMT) gene promoter methylation status as a prognostic marker in patients with glioblastoma (GBM) has been established. However, the number of CpG sites that must be methylated to cause transcriptional silencing remains unclear, and no significant consensus exists on the optimal method of assessing MGMT methylation. We developed a new high-performance liquid chromatography (HPLC) method that enables accurate analysis of DNA methylation levels using long PCR products. In the present study, we analyzed the MGMT methylation status of 28 isocitrate dehydrogenase–wild-type GBMs treated with temozolomide using ion-exchange HPLC and set the optimal cutoff values. Results We designed three primers for separate regions (regions 1–3) that had 21 to 38 CpGs for PCR and validated the MGMT promoter methylation status using frozen samples. There was a strong correlation between HPLC and bisulfite sequencing results (R = 0.794). The optimal cutoff values for MGMT methylation in HPLC were determined to allow differentiation of patient prognosis by receiver operating characteristic curve analysis. The cutoff values were 34.15% for region 1, 8.84% for region 2, and 36.72% for region 3. Kaplan–Meyer curve analysis estimated that the most differentiated prognosis was enabled in the setting of 8.84% methylation of MGMT in region 2. Progression-free survival and overall survival were significantly longer for patients in this setting of region 2 methylation (p = 0.00365 and p = 0.00258, respectively). Conclusions The combination of our HPLC method and the original primer setting provides a new standard method for determination of MGMT methylation status in patients with GBM and is useful for refining MGMT-based drug selection.
ArticleNumber 174
Audience Academic
Author Miyake, Kunio
Kawataki, Tomoyuki
Kondo, Tetsuo
Inukai, Takeshi
Kinouchi, Hiroyuki
Oishi, Naoki
Hanihara, Mitsuto
Watanabe, Atsushi
Yamada, Yuriko
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Cites_doi 10.1007/s11060-013-1332-y
10.1038/nrneurol.2014.100
10.1001/jamaoncol.2018.1977
10.1186/s13148-019-0670-9
10.1182/blood.2019004090
10.1007/s00401-011-0803-5
10.21873/cgp.20102
10.1093/jnci/djr077
10.1056/NEJMoa043330
10.1056/NEJMra0708126
10.1093/nar/19.22.6163
10.1038/bmt.2012.244
10.1056/NEJMoa043331
10.1371/journal.pone.0016146
10.1128/MCB.17.9.5612
10.1093/jnen/64.6.479
10.18632/oncotarget.11322
10.1200/JCO.2009.23.6497
10.1215/15228517-2009-001
10.1007/978-1-59745-522-0_26
10.1158/1078-0432.CCR-14-2737
10.1007/s00401-016-1545-1
10.1002/cncr.27392
10.1007/978-1-61779-316-5_4
10.3171/2017.11.JNS171710
10.1111/cas.13566
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Issue 1
Keywords DNA methylation
Prognostic factor
MGMT
HPLC
Glioblastoma
Language English
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References LC Harris (968_CR15) 1991; 19
R Tetzner (968_CR17) 2009; 507
968_CR19
ME Hegi (968_CR6) 2005; 352
968_CR14
S Yamashita (968_CR21) 2018; 130
PY Wen (968_CR3) 2008; 359
A-A Yin (968_CR20) 2019; 11
V Quillien (968_CR24) 2016; 7
M Esteller (968_CR16) 1999; 59
V Quillien (968_CR22) 2014; 116
V Quillien (968_CR18) 2012; 118
N Shah (968_CR11) 2011; 6
W Wick (968_CR23) 2014; 10
T Yotani (968_CR13) 2018; 109
BA Kohler (968_CR1) 2011; 103
H Ohgaki (968_CR2) 2005; 64
968_CR27
DN Louis (968_CR25) 2016; 131
EH Bell (968_CR7) 2018; 4
M Weller (968_CR8) 2015; 21
XC Qian (968_CR4) 1997; 57
GS Watts (968_CR5) 1997; 17
W Wick (968_CR9) 2009; 27
R Stupp (968_CR26) 2005; 352
LE Johannessen (968_CR12) 2018; 15
DS Malley (968_CR10) 2011; 121
Y Kanda (968_CR28) 2013; 48
References_xml – volume: 57
  start-page: 3672
  year: 1997
  ident: 968_CR4
  publication-title: Cancer Res
  contributor:
    fullname: XC Qian
– volume: 116
  start-page: 487
  year: 2014
  ident: 968_CR22
  publication-title: J Neurooncol
  doi: 10.1007/s11060-013-1332-y
  contributor:
    fullname: V Quillien
– volume: 10
  start-page: 372
  year: 2014
  ident: 968_CR23
  publication-title: Nat Rev Neurol
  doi: 10.1038/nrneurol.2014.100
  contributor:
    fullname: W Wick
– volume: 4
  start-page: 1405
  year: 2018
  ident: 968_CR7
  publication-title: JAMA Oncol
  doi: 10.1001/jamaoncol.2018.1977
  contributor:
    fullname: EH Bell
– volume: 11
  start-page: 76
  year: 2019
  ident: 968_CR20
  publication-title: Clin Epigenet
  doi: 10.1186/s13148-019-0670-9
  contributor:
    fullname: A-A Yin
– ident: 968_CR27
  doi: 10.1182/blood.2019004090
– volume: 121
  start-page: 651
  year: 2011
  ident: 968_CR10
  publication-title: Acta Neuropathol
  doi: 10.1007/s00401-011-0803-5
  contributor:
    fullname: DS Malley
– volume: 15
  start-page: 437
  year: 2018
  ident: 968_CR12
  publication-title: Cancer Genom Proteomics
  doi: 10.21873/cgp.20102
  contributor:
    fullname: LE Johannessen
– volume: 103
  start-page: 714
  year: 2011
  ident: 968_CR1
  publication-title: J Natl Cancer Inst
  doi: 10.1093/jnci/djr077
  contributor:
    fullname: BA Kohler
– volume: 352
  start-page: 987
  year: 2005
  ident: 968_CR26
  publication-title: N Engl J Med
  doi: 10.1056/NEJMoa043330
  contributor:
    fullname: R Stupp
– volume: 359
  start-page: 492
  year: 2008
  ident: 968_CR3
  publication-title: N Engl J Med
  doi: 10.1056/NEJMra0708126
  contributor:
    fullname: PY Wen
– volume: 19
  start-page: 6163
  year: 1991
  ident: 968_CR15
  publication-title: Nucleic Acids Res
  doi: 10.1093/nar/19.22.6163
  contributor:
    fullname: LC Harris
– volume: 48
  start-page: 452
  year: 2013
  ident: 968_CR28
  publication-title: Bone Marrow Transpl.
  doi: 10.1038/bmt.2012.244
  contributor:
    fullname: Y Kanda
– volume: 352
  start-page: 997
  year: 2005
  ident: 968_CR6
  publication-title: N Engl J Med
  doi: 10.1056/NEJMoa043331
  contributor:
    fullname: ME Hegi
– volume: 6
  start-page: e16146
  year: 2011
  ident: 968_CR11
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0016146
  contributor:
    fullname: N Shah
– volume: 17
  start-page: 5612
  year: 1997
  ident: 968_CR5
  publication-title: Mol Cell Biol
  doi: 10.1128/MCB.17.9.5612
  contributor:
    fullname: GS Watts
– volume: 64
  start-page: 479
  year: 2005
  ident: 968_CR2
  publication-title: J Neuropathol Exp Neurol
  doi: 10.1093/jnen/64.6.479
  contributor:
    fullname: H Ohgaki
– volume: 7
  start-page: 61916
  year: 2016
  ident: 968_CR24
  publication-title: Oncotarget
  doi: 10.18632/oncotarget.11322
  contributor:
    fullname: V Quillien
– volume: 27
  start-page: 5874
  year: 2009
  ident: 968_CR9
  publication-title: J Clin Oncol
  doi: 10.1200/JCO.2009.23.6497
  contributor:
    fullname: W Wick
– ident: 968_CR14
  doi: 10.1215/15228517-2009-001
– volume: 507
  start-page: 357
  year: 2009
  ident: 968_CR17
  publication-title: Methods Mol Biol
  doi: 10.1007/978-1-59745-522-0_26
  contributor:
    fullname: R Tetzner
– volume: 21
  start-page: 2057
  year: 2015
  ident: 968_CR8
  publication-title: Clin Cancer Res
  doi: 10.1158/1078-0432.CCR-14-2737
  contributor:
    fullname: M Weller
– volume: 59
  start-page: 793
  year: 1999
  ident: 968_CR16
  publication-title: Cancer Res
  contributor:
    fullname: M Esteller
– volume: 131
  start-page: 803
  year: 2016
  ident: 968_CR25
  publication-title: Acta Neuropathol
  doi: 10.1007/s00401-016-1545-1
  contributor:
    fullname: DN Louis
– volume: 118
  start-page: 4201
  year: 2012
  ident: 968_CR18
  publication-title: Cancer
  doi: 10.1002/cncr.27392
  contributor:
    fullname: V Quillien
– ident: 968_CR19
  doi: 10.1007/978-1-61779-316-5_4
– volume: 130
  start-page: 780
  year: 2018
  ident: 968_CR21
  publication-title: J Neurosurg
  doi: 10.3171/2017.11.JNS171710
  contributor:
    fullname: S Yamashita
– volume: 109
  start-page: 1690
  year: 2018
  ident: 968_CR13
  publication-title: Cancer Sci
  doi: 10.1111/cas.13566
  contributor:
    fullname: T Yotani
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Snippet The utility of O -methylguanine-DNA methyltransferase (MGMT) gene promoter methylation status as a prognostic marker in patients with glioblastoma (GBM) has...
Abstract Background The utility of O 6 -methylguanine-DNA methyltransferase (MGMT) gene promoter methylation status as a prognostic marker in patients with...
Background The utility of O.sup.6-methylguanine-DNA methyltransferase (MGMT) gene promoter methylation status as a prognostic marker in patients with...
The utility of O.sup.6-methylguanine-DNA methyltransferase (MGMT) gene promoter methylation status as a prognostic marker in patients with glioblastoma (GBM)...
Background The utility of O6-methylguanine-DNA methyltransferase (MGMT) gene promoter methylation status as a prognostic marker in patients with glioblastoma...
BACKGROUNDThe utility of O6-methylguanine-DNA methyltransferase (MGMT) gene promoter methylation status as a prognostic marker in patients with glioblastoma...
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SubjectTerms Bisulfite
Brain cancer
Chemotherapy
Chromatography
Clinical trials
CpG islands
Deoxyribonucleic acid
DNA
DNA methylation
DNA methyltransferase
Epigenetics
Gene silencing
Glioblastoma
Glioblastoma multiforme
High performance liquid chromatography
Isocitrate dehydrogenase
Medical prognosis
Methylation
Methylguanine
O6-methylguanine-DNA methyltransferase
Polymerase chain reaction
Prognosis
Sulfites
Survival
Temozolomide
Transferases
Tumors
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Title Assessment of MGMT methylation status using high-performance liquid chromatography in newly diagnosed glioblastoma
URI https://www.ncbi.nlm.nih.gov/pubmed/33203454
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https://pubmed.ncbi.nlm.nih.gov/PMC7672949
Volume 12
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