B7-H3 as a Reliable Diagnostic Biomarker for the Differentiation of High-Grade Gliomas (HGGs) and Low-Grade Gliomas (LGGs)
<b>Background/Objectives:</b> This study aimed to evaluate the diagnostic and prognostic utility of B7-H3 expression in differentiating low-grade gliomas (LGGs) from high-grade gliomas (HGGs) and to examine its association with clinical outcomes. <b>Methods:</b> This retrospective study included 99 patients with histopathologically confirmed gliomas (42 LGGs and 57 HGGs). B7-H3 expression was assessed using immunohistochemistry and scored by immunoreactive score (IRS). <b>Results:</b> B7-H3 expression was significantly higher in HGG compared to LGG (<i>p</i> < 0.001). The total IRS (B7-H3 A × B) demonstrated strong discriminative power (AUC = 0.816). High B7-H3 expression independently predicted disease progression (OR = 4.9, 95% CI: 2.4-10.1; <i>p</i> < 0.001) and was associated with IDH wild-type status and elevated Ki-67 index. Patients with high B7-H3 had significantly shorter overall survival (median 6 months vs. 42 months) and progression-free survival (median 3 months vs. 25 months) (both <i>p</i> < 0.001). Cox regression confirmed high B7-H3 as an independent predictor of mortality (HR = 2.9, 95% CI: 1.7-4.7; <i>p</i> < 0.001) and progression (HR = 2.6, 95% CI: 1.6-4.2; <i>p</i> < 0.001). <b>Conclusions:</b> B7-H3 expression is a reliable biomarker for distinguishing HGG from LGG and is independently associated with worse survival outcomes. Its assessment may aid in glioma classification and prognostication.
Authors
- Fatima Juković-Bihorac (ORCID: https://orcid.org/0000-0002-4151-2235)
- Slaviša Djuričić (ORCID: https://orcid.org/0000-0003-2041-3251)
- Mirza Pojskić (ORCID: https://orcid.org/0000-0002-6123-5589)
- Emir Begagić (ORCID: https://orcid.org/0000-0002-3988-8911)
- Alma Efendić
- Semir Vranić (ORCID: https://orcid.org/0000-0001-9743-7265)
- Hakija Bečulić (ORCID: https://orcid.org/0000-0002-6904-2490)
Institutions
- Philipps University of Marburg (DE)
- University of Banja Luka (BA)
- University of Zenica (BA)
- Academy of Medical Sciences of Bosnia and Herzegovina (BA)
- Qatar University (QA)
Publication Details
- Journal
- Brain Sciences
- Published
- 2025-08-15
- DOI
- https://doi.org/10.3390/brainsci15080872
- Citations
- 1
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.63