Evidence map›Paper›PMID 38439715›Full record

ArticleEpigenetics2024

DNA methylation heterogeneity attributable to a complex tumor immune microenvironment prompts prognostic risk in glioma.

Shuangyue Ma, Xu Pan, Jing Gan, Xiaxin Guo, Jiaheng He, Haoyu Hu, Yuncong Wang, Shangwei Ning, Hui Zhi

Open access · diamondAbstract read
In one paragraph

Article in Epigenetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  5. MRI-based habitat imaging predicts high-risk molecular subtypes and early risk assessment of lower-grade gliomas.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
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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

9 authors at 1 institution in 1 country.

Shuangyue MaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Xu PanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Jing GanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Xiaxin GuoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Jiaheng HeCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Haoyu HuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yuncong WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Shangwei NingCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Hui ZhiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gliomas are malignant tumours of the human nervous system with different World Health Organization (WHO) classifications, glioblastoma (GBM) with higher grade and are more malignant than lower-grade glioma (LGG). To dissect how the DNA methylation heterogeneity in gliomas is influenced by the complex cellular composition of the tumour immune microenvironment, we first compared the DNA methylation profiles of purified human immune cells and bulk glioma tissue, stratifying three tumour immune microenvironmental subtypes for GBM and LGG samples from The Cancer Genome Atlas (TCGA). We found that more intermediate methylation sites were enriched in glioma tumour tissues, and used the Proportion of sites with Intermediate Methylation (PIM) to compare intertumoral DNA methylation heterogeneity. A larger PIM score reflected stronger DNA methylation heterogeneity. Enhanced DNA methylation heterogeneity was associated with stronger immune cell infiltration, better survival rates, and slower tumour progression in glioma patients. We then created a Cell-type-associated DNA Methylation Heterogeneity Contribution (CMHC) score to explore the impact of different immune cell types on heterogeneous CpG site (

Indexed as

GlioblastomaGliomaDNA MethylationHumansMutationPrognosisTumor Microenvironmentclinical drug treatmentDNA methylation heterogeneityGliomaprognosisT-lymphocyte infiltrationtumor immune microenvironment

Identifiers

PMID38439715
PMCPMC10936651
OpenAlexW4392462452

What OpenQuestion holds

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LicenceCC BY-NC
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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.