Evidence map›Paper›PMID 41050773›Full record

ArticleOncology letters2025

Preoperative peripheral blood routine indicators as predictors of prognosis and diagnosis in glioma under the 2021 World Health Organization classification.

Qing Yang, Jiaying Ni, Jiandong Zhu, Xiao Fan, Xing Cheng, Yun Yu, Zhumei Shi, Yingyi Wang, Yongping You

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Article in Oncology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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9 authors.

Qing YangDepartment of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China.
Jiaying NiSchool of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, P.R. China.
Jiandong ZhuDepartment of Neurosurgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China.
Xiao FanDepartment of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China.
Xing ChengDepartment of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China.
Yun YuSchool of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, P.R. China.
Zhumei ShiDepartment of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China.
Yingyi WangDepartment of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China.
Yongping YouDepartment of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple hematological indicators have been shown to be associated with the prediction and prognosis of gliomas. The present study aimed to explore the value of 22 preoperative peripheral blood routine indicators in the diagnosis and prognosis prediction of glioma. Patients with glioma were grouped according to the 2021 World Health Organization (WHO) guidelines for glioma. The correlations among preoperative peripheral blood routine indicators in all patients with glioma were assessed using Spearman's rank correlation analysis. The relationships between these indicators and glioma molecular subtypes were evaluated using ANOVA, independent samples t-test and logistic regression analysis. Analysis of prognosis prediction was conducted using multivariate Cox regression. Based on the WHO 2021 guidelines, patients with glioma were classified into 92 cases of astrocytoma, 77 cases of oligodendroglioma and 402 cases of glioblastoma. Among 22 routine blood indicators, 10 low-correlation indicators were identified, 9 of which demonstrated significant value for the diagnosis of glioma. Among them, the neutrophil percentage (NEUT%) showed a notable predictive power in glioma molecular subtypes classification. In the study of overall survival (OS) prediction in patients with glioma, 6 biomarkers were found to be significantly associated with OS. Through statistical analysis, 4 independent biomarkers were selected to construct a multivariable Cox regression model. However, in the regression model, NEUT% was identified as the sole statistically significant biomarker. Despite its statistical significance, the results indicated that NEUT% had limited effectiveness in predicting OS in patients with glioma. Certain preoperative blood indicators had significant predictive value for glioma diagnosis, with NEUT% emerging as a key biomarker for predicting the presence of glioma. For prognosis, although NEUT% showed a modest effect size, it was significantly associated with poor outcomes in patients with glioma. Monitoring preoperative NEUT% levels is therefore clinically important for glioma diagnosis and prognosis.

Indexed as

blood chemical analysisgliomainflammation mediatorsmolecular typingneutrophilsprognosis

Identifiers

PMID41050773
PMCPMC12489719

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