Evidence map›Paper›PMID 39949048›Full record

ArticleNeuro-oncology2025

Immuno-epidemiologic mapping of human leukocyte antigen diversity across glioma patient cohorts.

Zujian Xiong, Kyle M Walsh, Chaim T Sneiderman, Michal Nisnboym, Costas G Hadjipanayis, Sameer Agnihotri, Todd N Eagar, Hong Wang, Ian F Pollack, Thomas G Forsthuber and 3 more

Abstract read
In one paragraph

Article in Neuro-oncology, 2025. 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

13 authors.

Zujian XiongDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Kyle M WalshThe Preston Robert Tisch Brain Tumor Center, Duke University School of Medicine, Durham, North Carolina, USA.ORCID 0000-0002-5879-9981
Chaim T SneidermanCollege of Medicine, The Ohio State University, Columbus, Ohio, USA.
Michal NisnboymDepartment of Neurology, Tel-Aviv Sourasky Medical Center, Tel-Aviv University, Tel-Aviv, Israel.
Costas G HadjipanayisDepartment of Neurological Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Sameer AgnihotriDepartment of Neurological Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Todd N EagarImmunogenetics and Transplantation Laboratory Houston Methodist, Houston, Texas, USA.
Hong WangDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Ian F PollackDepartment of Neurological Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Thomas G ForsthuberDepartment of Molecular Microbiology and Immunology, University of Texas at San Antonio, San Antonio, Texas, USA.
Xuejun LiHunan International Scientific and Technological Cooperation Base of Brain Tumor Research, Xiangya Hospital, Central South University, Changsha, China.
Itay RaphaelDepartment of Neurological Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Gary KohanbashDepartment of Immunology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-3953-8022

Funding

High-Throughput Computing for Genomics and Bioinformatics ResearchS10OD028483 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEE, ADRIAN V · 2021 to 2021
$574k
NIH HHS S10 OD028483Xiangya School of Medicine, Central South University
6 · The paper itself

Abstract

backgroundIndividual-level characteristics underlying population-level variation in glioma risk and outcomes remain incompletely understood. Cancer immunosurveillance, host immunity, and some immunotherapies center on the ability of an individual's immune cells to recognize antigen epitopes presented on major histocompatibility complex molecules. Inter-individual variation in human leukocyte antigen (HLA) alleles can elicit distinct repertoires of tumor antigen for presentation to immune cells. Therefore, HLA alleles may impact glioma incidence and prognosis.

methodsHLA class I (HLA-I) alleles were identified using sequencing data from 4 large glioma cohorts and healthy cohorts, matched on ancestry, and race- and age-matched imputed cohorts developed by the Hardy-Weinberg equilibrium were referred to determine odds ratio incidence estimated by logistic regression. HLA prognostication was quantified by Cox regression.

resultsWe analyzed 1215 cases of glioma patients from non-Hispanic Whites and Asians. The HLA-I allelic frequencies of gliomas generally corresponded to their distribution within each race. However, specific HLA-I alleles were significantly associated with glioma incidence and prognosis, which differ between races but were independent of age and sex. Notably, non-Hispanic White glioma patients exhibited greater HLA homozygosity rates compared with race-matched controls. HLA-C01:02 and HLA-C07:02 displayed opposing effects on glioma prognosis between races. The distinct effects were associated with their capability of presenting specific mutations that appeared at the initial or late phase of glioma progression.

conclusionsExpression of specific HLA-I alleles are associated with glioma incidence and prognosis within race. HLA-I-homozygosity is a risk factor for glioma in non-Hispanic Whites. These findings may guide the development of precision-guided immunotherapies for glioma.

Indexed as

Biomarkers, TumorBrain NeoplasmsGliomaHLA AntigensAdultAgedAllelesCase-Control StudiesCohort StudiesFemaleFollow-Up StudiesGene FrequencyHumansMaleMiddle AgedPrognosisBiomarkers, TumorHLA AntigensgliomaHLA-Ihomozygosityincidenceprognosis

Identifiers

PMID39949048
PMCPMC12309715

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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.