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Updated: May 28, 2026
Isolation and Flow Cytometric Analysis of Glioma-infiltrating Peripheral Blood Mononuclear Cells
Published on: November 28, 2015
Peripheral hematological landscapes as biomarkers for detecting postoperative progression in glioblastoma multiforme:
Ching-Chieh Tzeng1, Meng-Wu Chung2, Yin-Cheng Huang2,3
1Department of Medical Education, Chang Gung Memorial Hospital at Linkou, Taoyuan, 33305, Taiwan.
Purpose:
Glioblastoma multiforme (GBM) is the most common malignant tumor with poor prognosis despite standard treatment. While various hematological parameters are prognostic for GBM survival, their potential in disease monitoring remains underexplored. Therefore, this study aimed to investigate the value of these parameters in monitoring GBM progression and to develop a clinically practical risk score model.
Methods:
We retrospectively analyzed 193 newly diagnosed GBM patients who underwent surgery at Chang Gung Memorial Hospital. A total of 150 patients were included in the risk score model development and divided into progressive disease (PD) and non-PD groups, based on magnetic resonance imaging findings 6 months postoperatively. Parameters showing diagnostic potential for PD in univariate analyses were included in the multivariate analysis. Factors exhibiting independent effects were integrated into the risk score model. The remaining 43 patients underwent internal validation.
Results:
Seventy-one patients were diagnosed with PD. In the univariate analyses, the white blood cell count (WBC), absolute neutrophil count (ANC), platelet count (PLT), and neutrophil-to-lymphocyte ratio (NLR) were significantly higher (p < 0.05) in the PD group. WBC, NLR, PLT, and resection status exhibited independent effects in multivariate analyses and were integrated into a four-point risk score model. A higher risk score correlated with significantly higher odds of PD (odds ratio = 2.57, p < 0.001). The model was reproducible in internal validation.
Conclusions:
This study revealed that peripheral hematological parameters are associated with disease progression. The four-point risk score model demonstrated diagnostic utility for detecting disease progression at 6 months postoperatively.
