Evidence map›Paper›PMID 29963232›Full record

ArticleOncotarget2018

Real-time methylation-specific PCR for the evaluation of methylation status of MGMT gene in glioblastoma.

Masaki Yoshioka, Tomoo Matsutani, Ayaka Hara, Seiichiro Hirono, Takaki Hiwasa, Masaki Takiguchi, Yasuo Iwadate

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

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  10. A Comparison ofDiagnostics (Basel, Switzerland) · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Masaki YoshiokaDepartment of Neurological Surgery, Chiba University Graduate School of Medicine, Chiba, Japan.
Tomoo MatsutaniDepartment of Neurological Surgery, Chiba University Graduate School of Medicine, Chiba, Japan.
Ayaka HaraDepartment of Neurological Surgery, Chiba University Graduate School of Medicine, Chiba, Japan.
Seiichiro HironoDepartment of Neurological Surgery, Chiba University Graduate School of Medicine, Chiba, Japan.
Takaki HiwasaDepartment of Biochemistry and Genetics, Chiba University Graduate School of Medicine, Chiba, Japan.
Masaki TakiguchiDepartment of Biochemistry and Genetics, Chiba University Graduate School of Medicine, Chiba, Japan.
Yasuo IwadateDepartment of Neurological Surgery, Chiba University Graduate School of Medicine, Chiba, Japan.
Chiba University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The methylation status of the O6-methylguanine-DNA methyltransferase (MGMT) gene is a strong predictor for the efficacy of temozolomide chemotherapy and survival periods. However, the correlation between the extent of methylation and the difference in survival times has not been fully clarified. Simple and quantitative evaluations of the methylation status in the promotor region of the MGMT gene are expected to be worldwide standardized diagnostics. We applied real-time semi-quantitative methylation-specific polymerase chain reaction (SQ-MSP) of the MGMT gene promoter region to 84 glioblastoma patients. The SQ-MSP result showed that the ΔCt value, which represents the difference between uCt and mCt (uCt value - mCt value), is inversely correlated with overall survival. With adequate cutoff setting, this assay showed that those patients suffering from a tumor with low ΔCt (methylated) survived significantly longer than those having tumors with high ΔCt (un-methylated). The most significant difference was observed when the cutoff was set at a ΔCt of 2. Using this cutoff point, the result of MGMT immunohistochemical analysis was also significantly correlated with the methylation status examined with real-time SQ-MSP. These results collectively show that MGMT promoter methylation status actually affects patients' survival and protein expression depending on its methylation level, and the extent of methylated CpGs would be better assessed with real-time SQ-MSP than with the standard gel-based MSP. This method is cost- and labor-saving compared with pyrosequencing, and significantly contributes to the accurate and objective prediction of patient survival.

Indexed as

gliomamethylationMGMTMSPreal-time PCR

Identifiers

PMID29963232
PMCPMC6021237
OpenAlexW2808156979

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.