Levels of vascular endothelial growth factor and matrix metalloproteinase-9 proteins in patients with glioma

Radiogenomic Analysis of Vascular Endothelial Growth Factor in Patients With Glioblastoma

OBJECTIVES

This article aims to predict the presence of vascular endothelial growth factor (VEGF) expression and to predict the expression level of VEGF by machine learning based on preoperative magnetic resonance imaging (MRI) of glioblastoma (GBM).

METHODS

We analyzed the axial T2-weighted images (T2WI) and T1-weighted contrast-enhancement images of preoperative MRI in 217 patients with pathologically diagnosed GBM. Patients were divided into negative and positive VEGF groups, with the latter group further subdivided into low and high expression. The machine learning models were established with the maximum relevance and minimum redundancy algorithm and the extreme gradient boosting classifier. The area under the receiver operating curve (AUC) and accuracy were calculated for the training and validation sets.

RESULTS

Positive VEGF in GBM was 63.1% (137/217), with a high expression ratio of 53.3% (73/137). To predict the positive and negative VEGF expression, 7 radiomic features were selected, with 3 features from T1CE and 4 from T2WI. The accuracy and AUC were 0.83 and 0.81, respectively, in the training set and were 0.73 and 0.74, respectively, in the validation set. To predict high and low levels, 7 radiomic features were selected, with 2 from T1CE, 1 from T2WI, and 4 from the data combinations of T1CE and T2WI. The accuracy and AUC were 0.88 and 0.88, respectively, in the training set and were 0.72 and 0.72, respectively, in the validation set.

CONCLUSION

The VEGF expression status in GBM can be predicted using a machine learning model. Radiomic features resulting from data combinations of different MRI sequences could be helpful.

High VEGFA Expression Is Associated with Improved Progression-Free Survival after Bevacizumab Treatment in Recurrent Glioblastoma

Glioblastoma (GB) is one of the deadliest human cancers. Many GB patients do not respond to treatment, and inevitably die within a median of 15-18 months post-diagnosis, highlighting the need for reliable biomarkers to aid clinical management and treatment evaluation. The GB microenvironment holds tremendous potential as a source of biomarkers; several proteins such as MMP-2, MMP-9, YKL40, and VEGFA have been identified as being differentially expressed in GB patient samples. Still to date, none of these proteins have been translated into relevant clinical biomarkers. This study evaluated the expression of MMP-2, MMP-9, YKL40, and VEGFA in a series of GBs and their impact on patient outcome. High levels of VEGFA expression were significantly associated with improved progression-free survival after bevacizumab treatment, thus having potential as a tissue biomarker for predicting patients' response to bevacizumab. Noteworthily, VEGFA expression was not associated with patient outcome after temozolomide treatment. To a lesser extent, YKL40 also provided significant information regarding the extent of bevacizumab treatment. This study highlights the importance of studying secretome-associated proteins as GB biomarkers and identifies VEGFA as a promising marker for predicting response to bevacizumab.

Engineering antibody and protein therapeutics to cross the blood-brain barrier

Diseases in the central nervous system (CNS) are often difficult to treat. Antibody- and protein-based therapeutics hold huge promises in CNS disease treatment. However, proteins are restricted from entering the CNS by the blood-brain barrier (BBB). To achieve enhanced BBB crossing, antibody-based carriers have been developed by utilizing the endogenous macromolecule transportation pathway, known as receptor-mediated transcytosis. In this report, we first provided an overall review on key CNS diseases and the most promising antibody- or protein-based therapeutics approved or in clinical trials. We then reviewed the platforms that are being explored to increase the macromolecule brain entry to combat CNS diseases. Finally, we have analyzed the lessons learned from past experiences and have provided a perspective on the future engineering of novel delivery vehicles for antibody- and protein-based therapies for CNS diseases.

Silencing microRNA-221/222 cluster suppresses glioblastoma angiogenesis by suppressor of cytokine signaling-3-dependent JAK/STAT pathway

Angiogenesis is a major pathologic characteristic of glioblastoma, which is one aggressive primary brain tumor. MicroRNA-221/222 (miR-221/222) cluster has been previously reported to function importantly in malignant glioma biological process. The current study aims at evaluating the effects of miR-221/222 cluster on angiogenesis of glioblastoma cells. Microarray data were analyzed to select glioblastoma-associated differentially expressed genes, and dual-luciferase reporter assay was performed to assess targeting correlation between miR-221/222 cluster and suppressor of cytokine signaling-3 (SOCS3). Subsequently, the expression patterns of miR-221 and miR-222 in glioblastoma cells were identified. miR-221 and miR-222 were overexpressed or silenced in glioblastoma cells to identify the effect of miR-221/222 cluster in cell invasion, migration, proliferation, and angiogenesis. To define downstream pathway of miR-221/222 cluster or SOCS3 in glioblastoma, levels of Janus kinase (JAK)/signal transducers and activators of transcription (STAT) pathway-related proteins were assessed. Additionally, the functions of miR-221/222 on glioblastoma cell angiogenesis were measured in vivo with microvessel density assayed. miR-221 and miR-222 were expressed at a high level and SOCS3 was at a low level in glioblastoma. Downregulation of the miR-221/222 cluster diminished the invasion, migration, proliferation, and angiogenesis with reduced protein levels of matrix metalloproteinase-2 (MMP-2), MMP-9, and vascular endothelial growth factor in glioblastoma cells. Also, silencing miR-221/222 cluster reduced p-JAK2/JAK2 and p-STAT3/STAT3. Consistently, the inhibitory role of silencing miR-221/222 cluster on tumorigenesis of glioblastoma cells was confirmed in vivo. Collectively, the inhibition of miR-221/222 cluster could attenuate the glioblastoma angiogenesis through inactivation of the JAK/STAT pathway by upregulating SOCS3.

Glioblastoma Multiforme: An Overview of Emerging Therapeutic Targets

Glioblastoma multiforme (GBM) is the most common and aggressive malignant primary brain tumour in humans and has a very poor prognosis. The existing treatments have had limited success in increasing overall survival. Thus, identifying and understanding the key molecule(s) responsible for the malignant phenotype of GBM will yield new potential therapeutic targets. The treatment of brain tumours faces unique challenges, including the presence of the blood brain barrier (BBB), which limits the concentration of drugs that can reach the site of the tumour. Nevertheless, several promising treatments have been shown to cross the BBB and have shown promising pre-clinical results. This review will outline the status of several of these promising targeted therapies.

A case report of targeted therapy with apatinib in a patient with recurrent high grade glioma

RATIONALE

Despite the approval of antiangiogenic therapy for high grade glioma (HGG) patients, survival benefits are still limited. New treatment plans have always been developed to improve the survival.

PATIENT CONCERNS

A 26-year-old woman was admitted to our hospital for distending pain of head and eye.

DIAGNOSES

Resonance imaging (MRI) revealed a large spherical heterogeneously enhancing, mixed cystic and solid mass in the right frontal region, and the midline shifted.

INTERVENTION

The patient received apatinib therapy for positive vascular endothelial growth factor.

OUTCOMES

A partial response was observed after 4 weeks and remains sustained until now.

LESSONS

It suggests that apatinib might be a feasible option for the treatment in advanced HGG patients or patients with poor physical condition.

Relationship between expression of PD-L1 and tumor angiogenesis, proliferation, and invasion in glioma

Programmed death ligand 1 (PD-L1) is highly expressed in many cancers. We investigated the expression of PD-L1 and its relationship with vascular endothelial growth factor (VEGF), matrix metalloproteinase-9 and KI-67 expression in 64 patients with primary glioma. The expression rate of PD-L1 in glioma patients was 78.12%. PD-L1 levels correlated with the tumor grade (p = 0.013), VEGF status (p = 0.002) and KI-67 status (p = 0.002). In addition, PD-L1 levels correlated positively with VEGF (r = 0.314, p = 0.011) and KI-67 (r = 0.391, p = 0.001) levels when the data were treated as continuous variables. This is the first report suggesting that PD-L1 is important for glioma angiogenesis and proliferation. Thus, further research should be conducted to assess the combination of targeted VEGF therapy and anti-PD-L1 immunotherapy for the treatment of glioma.

Creation of an apoptin-derived peptide that interacts with SH3 domains and inhibits glioma cell migration and invasion

Glioblastoma multiforme (GBM) is an aggressive tumor of the central nervous system characterized by high rates of recurrence, morbidity, and mortality. This study investigated the antitumor effects of an apoptin-derived peptide (ADP) on glioma cells and explored the underlying mechanisms. The U251, U87, and C6 glioma cell lines were used in the present study, and the expression of p-Akt, Akt, and MMP-9 was determined through Western blotting, quantitative real-time PCR, and hematoxylin and eosin (HE) staining. Tumor growth was evaluated by magnetic resonance imaging, and cell viability was assessed through an 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide MTT assay. Glioma cell metastasis was evaluated using transwell migration, invasion, and scratch-wound assays. An ADP was designed and synthesized based on the results of a domain-based analysis of the structure of apoptin. The ADP inhibited glioma cell viability, invasion and migration, and treatment with the synthesized ADP led to downregulation of p-Akt and MMP-9 and inhibited MMP-9 translation. The ADP also inhibited glioma invasion and migration in vivo, and HE staining showed decreases in the satellite-like invasion of cell masses and apoptotic cell populations after treatment with the ADP. Our findings demonstrate that treatment with an ADP can suppress glioma cell migration and invasion via the PI3K/Akt/MMP-9 signaling pathway and provide a new platform for the development of drugs for treating glioma.

Indirect and competitive enzyme-linked immunosorbent assays for monitoring the humoral response against human VEGF

CIGB-247, a VEGF-based vaccine, was studied in a clinical trial. This advance demands the refinement of the methodologies for assessment of vaccine immune responses. This study aimed to improve the performance of ELISAs for detecting IgG antibodies against human VEGF and the blocking activity of the serum to inhibit the VEGF/VEGFR2 interaction. The best experimental conditions were established through the evaluation of several blocking buffers, immobilization surfaces, and plate suppliers using human sera as test samples. As a result, two controlled ELISAs were used in testing of elicited immune response against VEGF in patients immunized with CIGB-247.

High expression of VEGF and PI3K in glioma stem cells provides new criteria for the grading of gliomas

Glioma is a type of tumor derived from glial cells, which is associated with a high level of incidence and mortality. At present, the generation of a fast and efficient method to evaluate the malignancy grade of glioma is required. Cancer stem cells (CSCs) are currently attracting attention in oncological studies; therefore, the present study aimed to investigate novel biomarkers of glioma CSCs, in order to provide new criteria for the grading of glioma. The mRNA expression levels of CD133, (sex determining region Y)-box 2, nestin, vascular endothelial growth factor (VEGF) and phosphoinositide-3-kinase (PI3K) were detected in 15 human samples of high-malignancy glioma and 12 human samples of low-malignancy glioma in vitro. The mRNA expression levels of VEGF and PI3K were higher in the high-malignancy group, as compared with in the low-malignancy group. In conclusion, the mRNA expression levels of VEGF and PI3K in glioma CSCs may be considered a novel criteria for the grading of glioma.

The Clinical Utility of Matrix Metalloproteinase 9 in Evaluating Pathological Grade and Prognosis of Glioma Patients: A Meta-Analysis

In the recent years, matrix metalloproteinase 9 (MMP-9) has been focused on as an indicator of glioma grade and prognosis, especially in China. However, all results resulted in many conflicts. So, it is necessary to conduct a meta-analysis to secure a convincing correlation between MMP-9 and grade and prognosis. Eligible studies were included via multiple searches, and then odds ratios (ORs) and hazard ratios (HRs) with 95% confidence intervals (95% CIs) were estimated. Funnel plots were available for evaluation of publication bias. In addition, heterogeneity and sensitivity were also analyzed. In the present meta-analysis, 23 articles were allowed for inclusion with total 1,635 patients. Coincidentally, all studies were conducted in Chinese populations. High MMP-9 expression in gliomas was closely associated with high WHO grade (III+IV) (n = 22, OR = 5.25, 95% CI = 4.09-6.73; p = 0.000), while MMP-9 expression did not correlate to age (n = 4, OR = 1.02, 95 % CI = 0.67-1.54; p = 0.929) and gender (n = 5, OR = 0.91, 95% CI = 0.63-1.33; p = 0.632). Besides, overall survival analysis from two articles revealed MMP-9 expression significantly predicted 5-year-OS (HR = 6.44, 95% CI = 3.88-10.70; p = 0.000) in glioma patients. No heterogeneity and publication bias were observed across all studies. To conclude, this meta-analysis suggests MMP-9 is potently associated with high grade and poor 5 years prognosis, and MMP-9 test of glioma tissues should be established in department of pathology as a routine in clinical practice.