PIK3R2 immunostaining status predicts prognosis in patients with newly diagnosed glioblastoma treated with an
Kazuki Akutagawa1, Shunichiro Miki1, Erika Yamada1
1Department of Neurosurgery, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki Prefecture, 305-8575, Japan.
View abstract on PubMed
Negative PIK3R2 and p53 expression predict improved survival in glioblastoma patients receiving autologous formalin-fixed tumor vaccine (AFTV) therapy. These biomarkers may help predict AFTV treatment efficacy and patient outcomes.
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Area of Science:
- Neuro-oncology
- Immunotherapy
- Molecular biology
Background:
- Glioblastoma (GBM) is an aggressive brain tumor with poor prognosis and limited treatment options.
- Previous research indicated complete resection and p53 negativity correlate with better outcomes in GBM patients treated with radiotherapy, temozolomide, and autologous formalin-fixed tumor vaccine (AFTV).
- PIK3R2, a PI3K-Akt pathway component, may influence immune response and immunotherapy efficacy, prompting investigation into its prognostic role in AFTV therapy.
Purpose of the Study:
- To investigate if PIK3R2 expression influences patient outcomes in newly diagnosed glioblastoma (GBM) and grade 4 astrocytoma (Astro) treated with AFTV.
- To evaluate PIK3R2 as a potential predictive biomarker for AFTV therapy efficacy.
Main Methods:
- Analysis of 58 patients with newly diagnosed IDH wildtype GBM or IDH mutant Astro, divided into AFTV and control groups.
Main Results:
- In the AFTV group, PIK3R2-negative patients showed increased survival compared to the control group (p=0.075 for GBM/Astro, p=0.030 for GBM).
- A significant OS improvement was observed in the p53-negative/PIK3R2-negative subgroup for both GBM/Astro and GBM cases.
- PD-1 expression demonstrated the strongest correlation with PIK3R2 in regression analysis.
Conclusions:
- Negative immunostaining for both PIK3R2 and p53 is associated with increased survival in GBM patients receiving AFTV therapy.
- These biomarkers may serve as predictors of treatment efficacy and overall survival for patients undergoing AFTV treatment for GBM.
