Evidence map›Paper›PMID 33203454›Full record

ArticleClinical epigenetics2020

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

Mitsuto Hanihara, Kunio Miyake, Atsushi Watanabe, Yuriko Yamada, Naoki Oishi, Tomoyuki Kawataki, Takeshi Inukai, Tetsuo Kondo, Hiroyuki Kinouchi

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Utility ofEpigenetics · 2023
    Article
  2. Review
  3. Article
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

9 authors at 3 institutions in 1 country.

Mitsuto HaniharaDepartments of Neurosurgery, University of Yamanashi, Chuo, Yamanashi, Japan.
Kunio MiyakeDepartment of Health Sciences, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, 1110 Shimokato, Chuo, Yamanashi, 409-3898, Japan. kmiyake@yamanashi.ac.jp.ORCID 0000-0001-9196-2229
Atsushi WatanabeDepartment of Pediatrics, University of Yamanashi, Chuo, Yamanashi, Japan.
Yuriko YamadaTsukuba Research Institute, Research and Development Division, Sekisui Medical Co., Ltd., Ryugasaki, Japan.
Naoki OishiDepartment of Pathology, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, Chuo, Yamanashi, Japan.
Tomoyuki KawatakiDepartments of Neurosurgery, University of Yamanashi, Chuo, Yamanashi, Japan.
Takeshi InukaiTsukuba Research Institute, Research and Development Division, Sekisui Medical Co., Ltd., Ryugasaki, Japan.
Tetsuo KondoDepartment of Pathology, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, Chuo, Yamanashi, Japan.
Hiroyuki KinouchiDepartments of Neurosurgery, University of Yamanashi, Chuo, Yamanashi, Japan.
University of Yamanashi · JPSekisui Medical (Japan) · JPUniversity of Yamanashi Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe utility of O

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.

Indexed as

AgedAntineoplastic Agents, AlkylatingBrain NeoplasmsChromatography, High Pressure LiquidCpG IslandsDNA MethylationDNA Modification MethylasesDNA Repair EnzymesEpigenomicsFemaleGlioblastomaHumansMalePolymerase Chain ReactionPrognosisProgression-Free SurvivalAntineoplastic Agents, AlkylatingDNA Modification MethylasesDNA Repair EnzymesMGMT protein, humanRepressor ProteinsTemozolomideTumor Suppressor ProteinsDNA methylationGlioblastomaHPLCMGMTPrognostic factor

Identifiers

PMID33203454
PMCPMC7672949
OpenAlexW3102742072

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.