Evidence map›Paper›PMID 39542520›Full record

ArticleBrain tumor research and treatment2024

The Inflammatory Characteristics of Symptomatic Glioma Associated With Poor Prognosis and Chemoresistance via Tumor Necrosis Factor Signaling Pathway.

Jeongman Park, Dongkil Kim, JeongMin Sim, Yu Jin Kim, Kyunggi Cho, Ju Hyung Moon, Kyoung Su Sung, Jihwan Yoo, Jaejoon Lim

Abstract read
In one paragraph

Article in Brain tumor research and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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.

Jeongman Park *Department of Biomedical Science, College of Life Science, CHA University, Seongnam, Korea.ORCID https://orcid.org/0000-0003-2849-4594
Dongkil Kim *Department of Biomedical Science, College of Life Science, CHA University, Seongnam, Korea.ORCID https://orcid.org/0009-0004-9951-8076
JeongMin SimDepartment of Biomedical Science, College of Life Science, CHA University, Seongnam, Korea.ORCID https://orcid.org/0009-0009-0447-3706
Yu Jin KimDepartment of Biomedical Science, College of Life Science, CHA University, Seongnam, Korea.ORCID https://orcid.org/0009-0002-2021-376X
Kyunggi ChoDepartment of Neurosurgery, Bundang CHA Medical Center, CHA University College of Medicine, Seongnam, Korea.ORCID https://orcid.org/0000-0001-7855-2719
Ju Hyung MoonDepartment of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-8925-5821
Kyoung Su SungDepartment of Neurosurgery, Dong-A University Hospital, Dong-A University College of Medicine, Busan, Korea.ORCID https://orcid.org/0000-0003-3289-0143
Jihwan YooDepartment of Neurosurgery, Brain Tumor Center, Gangnam Severance Hospital, Seoul, Korea. JHY8486@yuhs.ac.ORCID https://orcid.org/0000-0001-8746-1245
Jaejoon LimDepartment of Biomedical Science, College of Life Science, CHA University, Seongnam, Korea.ORCID https://orcid.org/0000-0001-8299-8078

Funding

Korean Society for Neuro OncologyMinistry of Science, Technology, and Information of the Republic of Korea RS-2024-00357185National Research Foundation of Korea RS-2023-00246346
6 · The paper itself

Abstract

backgroundAmong gliomas, the most common primary malignant brain tumor, incidental gliomas account for 2.5%-5% of cases. The controversy over whether to pursue immediate treatment or adopt a wait-and-see approach remains, and more molecular and immunological evidence is needed for definitive treatment decisions.

methodsTotal RNA sequencing (RNA-seq) data and single cell RNA sequencing (scRNA-seq) data were retrospectively analyzed to compare the molecular and immunological tumor microenvironment differences between incidental glioma and symptomatic glioma samples. These were classified using symptom data from The Cancer Genome Atlas (TCGA) and public dataset.

resultsRNA-seq analysis of the GBMLGG dataset identified 343 genes upregulated in symptomatic glioma and 118 in incidental glioma, with 104 common genes upregulated in symptomatic glioma across both the TCGA and Chinese Glioma Genome Atlas (CGGA) datasets. Enrichment analysis revealed that these 104 genes in symptomatic glioma were significantly associated with immunological pathways. scRNA-seq analysis of glioma revealed 11 cell types, including T cells, myeloid cells, and oligodendrocytes, with the tumor necrosis factor (TNF) signaling pathway strongly influencing other cell types, particularly myeloid cells. Enrichment and survival analyses showed that TNF signaling is associated with temozolomide resistance and poorer prognosis in glioma patients.

conclusionThe findings suggest that symptomatic glioma enhances inflammatory responses linked to poor prognosis and chemoresistance. This supports the hypothesis that immediate treatment of incidental glioma may improve patient outcomes over a wait-and-see approach.

Indexed as

Drug resistanceGliomaIncidental discoveryNeuroinflammationPrognosisTumor necrosis factor

Identifiers

PMID39542520
PMCPMC11570084

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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.