Evidence map›Paper›PMID 40138094›Full record

ArticleJournal of neuro-oncology2025

Comparative analysis of pyrosequencing and next-generation sequencing for assessing MGMT methylation in glioma patients.

Huanming Shen, Zhongchun Zhou, Xiaoni Zhang, Mingyan Xu, Xiaofang Jiang, Wenjian Qin, Shifu Chen

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of neuro-oncology, 2025. 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
–field-weighted citation impact
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

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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.

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4 · The record

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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.

Huanming Shen *Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Zhongchun Zhou *HaploX Biotechnology, Shenzhen, China.
Xiaoni Zhang *HaploX Biotechnology, Shenzhen, China.
Mingyan XuHaploX Biotechnology, Shenzhen, China.
Xiaofang JiangHaploX Biotechnology, Shenzhen, China. jiangxf@haplox.com.
Wenjian QinShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China. wj.qin@siat.ac.cn.
Shifu ChenShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China. chen@haplox.com.ORCID http://orcid.org/0000-0001-5799-653X

Funding

Key-Area Research and Development Program of Guangdong Province 2020B090923002
6 · The paper itself

Abstract

backgroundThe methylation status of the O6-methylguanine-DNA methyltransferase (MGMT) gene promoter is pivotal in clinical decision-making for glioma patients. Pyrosequencing (PSQ) has been regarded as the gold standard for determining the MGMT promoter status. Nevertheless, PSQ is limited by its low throughput, high costs, and intricate protocols. In this study, we present a comparative analysis of the performance of PSQ and next-generation sequencing (NGS) in evaluating MGMT methylation in glioma patients.

methodsInitially, we developed an amplicon-based NGS method for quantifying MGMT methylation. Subsequently, a comparative assessment was carried out to evaluate the MGMT promoter methylation levels in 50 formalin-fixed paraffin-embedded (FFPE) glioma samples using both PSQ and NGS. Finally, a consistency analysis was performed to compare the results obtained from PSQ and NGS.

resultsThe results revealed a significant correlation between PSQ and NGS (R

conclusionsThis study indicates that, although PSQ is the gold standard, the quantitative detection of MGMT methylation by NGS is more accurate than that by PSQ. NGS is characterized by high throughput and cost-effectiveness, while also yielding accurate and stable results. Therefore, NGS provides a viable alternative to the PSQ method for detecting MGMT methylation.

Indexed as

Brain NeoplasmsDNA MethylationDNA Modification MethylasesDNA Repair EnzymesGliomaHigh-Throughput Nucleotide SequencingSequence Analysis, DNATumor Suppressor ProteinsAdultAgedFemaleHumansMaleMiddle AgedPromoter Regions, GeneticDNA Modification MethylasesDNA Repair EnzymesMGMT protein, humanTumor Suppressor ProteinsGliomasMethylationMGMTNGSPyrosequencing

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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.