Evidence map›Paper›PMID 40524972›Full record

ArticleJournal of inflammation research2025

Evaluating the Diagnostic and Prognostic Value of Peripheral Immune Markers in Glioma Patients: A Prospective Multi-Institutional Cohort Study of 1282 Patients.

Jie Lu, Zhi-Yun Zhang, Sheng Zhong, Davy Deng, Wen-Zhuo Yang, Su-Wen Wu, Ye Cheng, Yang Bai, Yong-Gao Mou

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Jie Lu *Department of Neurosurgery/Neuro-Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.ORCID 0000-0002-8345-9954
Zhi-Yun Zhang *Department of Plastic and Reconstructive Surgery, The First Hospital of Jilin University, Changchun, People's Republic of China.
Sheng Zhong *Department of Neurosurgery/Neuro-Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Davy Deng *Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA.
Wen-Zhuo Yang *Department of Neurosurgery/Neuro-Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Su-Wen WuDepartment of Neurosurgery/Neuro-Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
Ye ChengDepartment of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, People's Republic of China.
Yang BaiDepartment of Plastic and Reconstructive Surgery, The First Hospital of Jilin University, Changchun, People's Republic of China.
Yong-Gao MouDepartment of Neurosurgery/Neuro-Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Glioma is the most common primary brain tumor, with a specific immune microenvironment and aggressive nature. Novel systemic immune-inflammation indices (nSII) are the most comprehensive non-invasive biomarkers that represent patients' peripheral immune status, which are urgently needed to improve clinical management. However, the diagnostic and prognostic value of nSII in glioma remains unknown. Methods: From October 2006 to April 2022, 1282 patients with primary glioma were enrolled. The preoperative peripheral blood samples were collected. Correlations between novel systemic immune-inflammation indices (nSII) and glioma grades and subtypes were analyzed using ANOVA, Results: With the higher clinical grade, the percentage of NK cells increases while Th lymphocytes and T lymphocytes decrease. The percentage of NK and Th cells was also correlated with glioma subtypes. In glioblastoma patients, the higher percentage of immunoglobulin light chains was associated with a favorable prognosis, whereas the higher percentage of B lymphocytes was associated with a poor prognosis. Our study showed high diagnostic potential, eg, combined model (C4 & NK & B cells) AUC 0.879 (grade I vs IV), combined model (Th & NK & T cells) AUC 0.845 (grade II vs IV), and combined model (C4 & NK & T cells) AUC 0.711 (grade III vs IV). Conclusion: The nSII can serve as a robust non-invasive diagnostic and prognostic biomarker in glioma, thus promoting clinical management in screening, stratification, and treatment optimization. This study also provides a comprehensive perspective on glioma's systemic and intracranial immune landscape, paving the way for future translational applications.

Indexed as

gliomaimmunoglobulininflammatory cytokinelymphocyte subsetsperipheral blood

Identifiers

PMID40524972
PMCPMC12169008

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.