Evidence map›Paper›PMID 42818904›Full record

ArticleFrontiers in immunology2026

HIST1H2BJ is associated with poor prognosis and an immune-altered tumor microenvironment in glioma.

Lupeng Zhang, Yue Li, Chen Shi, Yong Zhang, Ruijuan Liu, Chiwen Qu, Sihua Peng, Xiaoning Peng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Lupeng Zhang *College of Mathematics and Statistics, Hunan Normal University, Changsha, Hunan, China.
Yue Li *Department of Pathology, Xiangtan Central Hospital, Xiangtan, Hunan, China.
Chen Shi *Department of Biochemistry and Molecular Biology, Jishou University School of Medicine, Jishou, Hunan, China.
Yong ZhangDepartment of Pathology and Pathophysiology, Hunan Normal University School of Medicine, Changsha, Hunan, China.
Ruijuan LiuDepartment of Oncology, Weifang Hospital of Traditional Chinese Medicine, Weifang, China.
Chiwen QuSchool of Public Health and Management, Youjiang Medical University for Nationalities, Baise, Guangxi, China.
Sihua PengDepartment of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, GA, United States.
Xiaoning PengCollege of Mathematics and Statistics, Hunan Normal University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Glioma, the most prevalent and aggressive primary malignant brain tumor, is associated with poor clinical outcomes. There is an urgent need for novel biomarkers to predict survival and therapeutic response, as existing markers offer limited prognostic utility. Methods: Single-cell RNA sequencing data from glioma patients were analyzed to identify CD8+ T cell-related genes. Four machine learning algorithms (XGBoost, Gradient Boosting Machine, LASSO, and Random Forest) were employed to screen genes associated with glioma prognosis. The expression of Results: Conclusion: This study establishes

Indexed as

Biomarkers, TumorBrain NeoplasmsGliomaTumor MicroenvironmentApoptosisCD8-Positive T-LymphocytesCell Line, TumorCell MovementGene Expression Regulation, NeoplasticHumansMolecular Docking SimulationPrognosisBiomarkers, TumorbiomarkergliomaHIST1H2BJprognosis predictiontumor microenvironment

Identifiers

PMID42818904
PMCPMC13624164

What OpenQuestion holds

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Registered trials

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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.