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Evaluation of Biomarkers in Glioma by Immunohistochemistry on Paraffin-Embedded 3D Glioma Neurosphere Cultures
Published on: January 9, 2019
Imaging biomarkers guided anti-angiogenic therapy for malignant gliomas
Ziren Kong1, Chengrui Yan2, Ruizhe Zhu1
1Department of Neurosurgery, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China.
Abstract:
Antiangiogenic therapy is a universal approach to the treatment of malignant gliomas but fails to prolong the overall survival of newly diagnosed or recurrent glioblastoma patients. Imaging biomarkers are quantitative imaging parameters capable of objectively describing biological processes, pathological changes and treatment responses in some situations and have been utilized for outcome predictions of malignant gliomas in anti-angiogenic therapy. Advanced magnetic resonance imaging techniques (including perfusion-weighted imaging and diffusion-weighted imaging), positron emission computed tomography and magnetic resonance spectroscopy are imaging techniques that can be used to acquire imaging biomarkers, including the relative cerebral blood volume (rCBV), Ktrans, and the apparent diffusion coefficient (ADC). Imaging indicators for a better prognosis when treating malignant gliomas with antiangiogenic therapy include the following: a lower pre- or post-treatment rCBV, less change in rCBV during treatment, a lower pre-treatment Ktrans, a higher vascular normalization index during treatment, less change in arterio-venous overlap during treatment, lower pre-treatment ADC values for the lower peak, smaller ADC volume changes during treatment, and metabolic changes in glucose and phenylalanine. The investigation and utilization of these imaging markers may confront challenges, but may also promote further development of anti-angiogenic therapy. Despite considerable evidence, future prospective studies are critically needed to consolidate the current data and identify novel biomarkers.
Insights
Advanced imaging biomarkers can predict outcomes for malignant glioma patients undergoing antiangiogenic therapy. Specific imaging indicators suggest a better prognosis, guiding treatment strategies for glioblastoma.
Area of Science:
- Neuro-oncology
- Radiology
- Biomarkers
Background:
- Antiangiogenic therapy is a standard treatment for malignant gliomas.
- However, it has not significantly improved overall survival in glioblastoma patients.
- Imaging biomarkers offer objective measures for predicting treatment response and outcomes.
Purpose of the Study:
- To review and identify imaging biomarkers for predicting prognosis in malignant gliomas treated with antiangiogenic therapy.
- To highlight the potential and challenges of utilizing these biomarkers.
Main Methods:
- Utilized advanced magnetic resonance imaging (MRI) techniques such as perfusion-weighted imaging and diffusion-weighted imaging.
- Incorporated positron emission computed tomography (PET) and magnetic resonance spectroscopy (MRS).
- Analyzed quantitative imaging parameters including relative cerebral blood volume (rCBV), Ktrans, and apparent diffusion coefficient (ADC).
Main Results:
- Lower pre- or post-treatment rCBV and less change during treatment are associated with better prognosis.
- Lower pre-treatment Ktrans and higher vascular normalization index indicate a favorable outcome.
- Specific ADC values and metabolic changes (glucose, phenylalanine) also serve as prognostic indicators.
Conclusions:
- Imaging biomarkers show promise in predicting outcomes for malignant gliomas under antiangiogenic therapy.
- Further prospective studies are essential to validate these markers and discover novel ones.
- The integration of these biomarkers could advance antiangiogenic therapy development.
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