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Purpose <p>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.</p> Methods <p>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.</p> Results <p>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 (<i>p</i> &lt; 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, <i>p</i> &lt; 0.001). The model was reproducible in internal validation.</p> Conclusions <p>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.</p>

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Peripheral hematological landscapes as biomarkers for detecting postoperative progression in glioblastoma multiforme: a multivariable risk scoring approach

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月26日

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  • Ching-Chieh Tzeng,
  • Meng-Wu Chung,
  • Yin-Cheng Huang,
  • Ko-Ting Chen,
  • Ya-Jui Lin,
  • Peng-Wei Hsu,
  • Chi-Cheng Chuang,
  • Kuo-Chen Wei,
  • Cheng-Chi Lee

摘要

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.