Poor-prognosis high-grade gliomas: evolving an evidence-based standard of care

Short-course Palliative Hypofractionated Radiotherapy in Patients with Poor-prognosis High-grade Glioma: Survival and Quality of Life Outcomes from a Prospective Phase II Study

AIMS

To report longitudinal quality of life (QoL) outcomes and survival in patients with poor-prognosis high-grade glioma (HGG) treated with palliative hypofractionated radiotherapy.

MATERIALS AND METHODS

Patients with poor-prognosis HGG were accrued on a prospective study of short-course palliative hypofractionated radiotherapy (35 Gy/10 fractions/2 weeks). The European Organization for Research and Treatment of Cancer QoL core questionnaire (QLQ-C30) and brain cancer module (BN20) were used in English or validated Indian vernacular languages (Hindi and Marathi) for QoL assessment at baseline (before radiotherapy), the conclusion of radiotherapy, 1 month post-radiotherapy and subsequently at 3-monthly intervals until disease progression/death. Baseline QoL scores were compared with corresponding scores from a historical HGG cohort. Summary QoL scores were compared longitudinally over time by related samples Friedman's two-way test. Progression-free survival and overall survival were calculated using the Kaplan-Meier method and reported as 1-year estimates with 95% confidence intervals.

RESULTS

Forty-nine (89%) of 55 patients completed the planned course of hypofractionated radiotherapy. Longitudinal QoL data were available in 42 (86%) of 49 patients completing radiotherapy, comprising the present cohort. The median age of included patients, comprised mainly of glioblastoma patients (81%), was 57 years, with an interquartile range (IQR) of 50-66 years and a median baseline Karnofsky score of 60 (IQR = 50-60). Baseline QoL scores were significantly worse for several domains compared with a historical institutional cohort of HGG patients treated previously with conventionally fractionated radiotherapy, indicating negative selection bias. QoL scores remained stable for most domains after palliative hypofractionated radiotherapy, with statistically significant improvements in fatigue (P = 0.032), dyspnoea (P = 0.042) and motor dysfunction (P = 0.036) over time. At a median follow-up of 8 months, Kaplan-Meier estimates of 1-year progression-free survival and overall survival were 33.3% (95% confidence interval 21.7-51.1%) and 38.1% (95% confidence interval 25.9-56%), respectively.

CONCLUSION

Short-course palliative hypofractionated radiotherapy in patients with poor-prognosis HGG is associated with stable and/or improved QoL scores in several domains, making it a viable resource-sparing regimen.

The Use of Photodynamic Therapy in the Treatment of Brain Tumors-A Review of the Literature

The treatment of neoplastic disease of the brain is still a challenge for modern medicine. Therefore, advanced methodologies are needed that can rationally and successfully contribute to the early diagnosis of primary and metastatic tumors growing within the brain. Photodynamic therapy (PDT) seems to be a valuable method of treatment for precancerous and cancerous lesions including brain tumors. The main advantage of PDT is its high efficiency, minimal invasiveness and no serious side effects, compared with chemotherapy and radiotherapy. This review was conducted through a comprehensive search of articles, scientific information databases and the websites of organizations dealing with cancer treatment. Key points from clinical trials conducted by other researchers are also discussed. The common databases such as PubMed, Google Scholar, EBSCO, Scopus, and Elsevier were used. Articles in the English language of reliable credibility were mainly analyzed. The type of publications considered included clinical and preclinical studies, systematic reviews, and case reports. Based on these collected materials, we see that scientists have already demonstrated the potential of PDT application in the field of brain tumors. Therefore, in this review, the treatment of neoplasm of the Central Nervous System (CNS) and the most common tumor, glioblastoma multiforme (GBM), have been explored. In addition, an overview of the general principles of PDT, as well as the mechanism of action of the therapy as a therapeutic platform for brain tumors, is described. The research was carried out in June 2022.

The Oncogenesis of Glial Cells in Diffuse Gliomas and Clinical Opportunities

Glioma is the most common and lethal intrinsic primary tumor of the brain. Its controversial origins may contribute to its heterogeneity, creating challenges and difficulties in the development of therapies. Among the components constituting tumors, glioma stem cells are highly plastic subpopulations that are thought to be the site of tumor initiation. Neural stem cells/progenitor cells and oligodendrocyte progenitor cells are possible lineage groups populating the bulk of the tumor, in which gene mutations related to cell-cycle or metabolic enzymes dramatically affect this transformation. Novel approaches have revealed the tumor-promoting properties of distinct tumor cell states, glial, neural, and immune cell populations in the tumor microenvironment. Communication between tumor cells and other normal cells manipulate tumor progression and influence sensitivity to therapy. Here, we discuss the heterogeneity and relevant functions of tumor cell state, microglia, monocyte-derived macrophages, and neurons in glioma, highlighting their bilateral effects on tumors. Finally, we describe potential therapeutic approaches and targets beyond standard treatments.

RNA Editing in Glioma as a Sexually Dimorphic Prognostic Factor That Affects mRNA Abundance in Fatty Acid Metabolism and Inflammation Pathways

RNA editing alters the nucleotide sequence and has been associated with cancer progression. However, little is known about its prognostic and regulatory roles in glioma, one of the most common types of primary brain tumors. We characterized and analyzed RNA editomes of glioblastoma and isocitrate dehydrogenase mutated (IDH-MUT) gliomas from The Cancer Genome Atlas and the Chinese Glioma Genome Atlas (CGGA). We showed that editing change during glioma progression was another layer of molecular alterations and that editing profiles predicted the prognosis of glioblastoma and IDH-MUT gliomas in a sex-dependent manner. Hyper-editing was associated with poor survival in females but better survival in males. Moreover, noncoding editing events impacted mRNA abundance of the host genes. Genes associated with inflammatory response (e.g., EIF2AK2, a key mediator of innate immunity) and fatty acid oxidation (e.g., acyl-CoA oxidase 1, the rate-limiting enzyme in fatty acid β-oxidation) were editing-regulated and associated with glioma progression. The above findings were further validated in CGGA samples. Establishment of the prognostic and regulatory roles of RNA editing in glioma holds promise for developing editing-based therapeutic strategies against glioma progression. Furthermore, sexual dimorphism at the epitranscriptional level highlights the importance of developing sex-specific treatments for glioma.

EGFR-targeted intraoperative fluorescence imaging detects high-grade glioma with panitumumab-IRDye800 in a phase 1 clinical trial

Rationale: First-line therapy for high-grade gliomas (HGGs) includes maximal safe surgical resection. The extent of resection predicts overall survival, but current neuroimaging approaches lack tumor specificity. The epidermal growth factor receptor (EGFR) is a highly expressed HGG biomarker. We evaluated the safety and feasibility of an anti-EGFR antibody, panitumuab-IRDye800, at subtherapeutic doses as an imaging agent for HGG. Methods: Eleven patients with contrast-enhancing HGGs were systemically infused with panitumumab-IRDye800 at a low (50 mg) or high (100 mg) dose 1-5 days before surgery. Near-infrared fluorescence imaging was performed intraoperatively and ex vivo, to identify the optimal tumor-to-background ratio by comparing mean fluorescence intensities of tumor and histologically uninvolved tissue. Fluorescence was correlated with preoperative T1 contrast, tumor size, EGFR expression and other biomarkers. Results: No adverse events were attributed to panitumumab-IRDye800. Tumor fragments as small as 5 mg could be detected ex vivo and detection threshold was dose dependent. In tissue sections, panitumumab-IRDye800 was highly sensitive (95%) and specific (96%) for pathology confirmed tumor containing tissue. Cellular delivery of panitumumab-IRDye800 was correlated to EGFR overexpression and compromised blood-brain barrier in HGG, while normal brain tissue showed minimal fluorescence. Intraoperative fluorescence improved optical contrast in tumor tissue within and beyond the T1 contrast-enhancing margin, with contrast-to-noise ratios of 9.5 ± 2.1 and 3.6 ± 1.1, respectively. Conclusions: Panitumumab-IRDye800 provided excellent tumor contrast and was safe at both doses. Smaller fragments of tumor could be detected at the 100 mg dose and thus more suitable for intraoperative imaging.

Molecular imaging of a fluorescent antibody against epidermal growth factor receptor detects high-grade glioma

The prognosis for high-grade glioma (HGG) remains dismal and the extent of resection correlates with overall survival and progression free disease. Epidermal growth factor receptor (EGFR) is a biomarker heterogeneously expressed in HGG. We assessed the feasibility of detecting HGG using near-infrared fluorescent antibody targeting EGFR. Mice bearing orthotopic HGG xenografts with modest EGFR expression were imaged in vivo after systemic panitumumab-IRDye800 injection to assess its tumor-specific uptake macroscopically over 14 days, and microscopically ex vivo. EGFR immunohistochemical staining of 59 tumor specimens from 35 HGG patients was scored by pathologists and expression levels were compared to that of mouse xenografts. Intratumoral distribution of panitumumab-IRDye800 correlated with near-infrared fluorescence and EGFR expression. Fluorescence distinguished tumor cells with 90% specificity and 82.5% sensitivity. Target-to-background ratios peaked at 14 h post panitumumab-IRDye800 infusion, reaching 19.5 in vivo and 7.6 ex vivo, respectively. Equivalent or higher EGFR protein expression compared to the mouse xenografts was present in 77.1% HGG patients. Age, combined with IDH-wildtype cerebral tumor, was predictive of greater EGFR protein expression in human tumors. Tumor specific uptake of panitumumab-IRDye800 provided remarkable contrast and a flexible imaging window for fluorescence-guided identification of HGGs despite modest EGFR expression.

Bioinformatics analysis of the expression of inducible nitric oxide synthases (iNOS/NOS2) in human glioma and its correlation with patients’ prognoses

Objective To evaluate the expression of inducible nitric oxide synthases (iNOS/NOS2) in human glioma and its correlation with patients’ prognoses.

Methods IiNOS/NOS2 expression in tumor and corresponding normal tissues of glioma patients was analyzed using the TCGA database and the online analysis tool GEPIA. The mutation statuses of iNOS/NOS2 genes were also explored in the TCGA database using cBioPortal. Co-expressed genes relevant to iNOS/NOS2 were screened by LinkedOmics. Gene ontology (GO) and KEGG pathway enrichment for iNOS/NOS2 and co-expressed genes was performed using LinkedOmics. Overall survival (OS) and disease-free survival (DFS) outcomes between iNOS/NOS2 mRNA high and low expression groups were compared using a log-rank test. Twenty-two glioma patients who underwent operation were included in the present work. A real-time PCR assay was used to detect iNOS/NOS2 mRNA expression in tumor tissue and normal brain tissue.

Results There was no statistical difference in iNOS/NOS2 mRNA expression levelss between tumor and normal tissues of glioma. A real-time PCR assay indicated that iNOS/NOS2 mRNA expression in tumor tissue and normal brain tissues were not statistical difference (p>0.05). A mutation rate of 0.8% for the iNOS/NOS2 gene was found using 1044 glioma patients from two datasets. The mutation types include deep deletion (0.4%), truncating (0.2%) and missense (0.2%). The top positive and negative co-expressed gene with iNOS/NOS2 were COL25A1 (rpearson=0.4734, p<0.05) and ALCAM (rpearson=0.4734, p<0.05), respectively. For KEGG pathway analysis, iNOS/NOS2 was mainly enriched in calcium signaling pathway, Wnt signaling pathway, GnRH signaling pathway, HIF-1 signaling pathway and pathways in cancer. The overall survival (HR=2.0, p<0.05) and disease-free survival (HR=1.6, p<0.05) values were significantly different between iNOS/NOS2 high and low expression groups.

Conclusion OS and DFS were significantly decreased in high iNOS/NOS2 mRNA expression groups. iNOS/NOS2 can be used as a poor prognostic biomarker for glioma.

Artificial intelligence radiogenomics for advancing precision and effectiveness in oncologic care (Review)

The new era of artificial intelligence (AI) has introduced revolutionary data-driven analysis paradigms that have led to significant advancements in information processing techniques in the context of clinical decision-support systems. These advances have created unprecedented momentum in computational medical imaging applications and have given rise to new precision medicine research areas. Radiogenomics is a novel research field focusing on establishing associations between radiological features and genomic or molecular expression in order to shed light on the underlying disease mechanisms and enhance diagnostic procedures towards personalized medicine. The aim of the current review was to elucidate recent advances in radiogenomics research, focusing on deep learning with emphasis on radiology and oncology applications. The main deep learning radiogenomics architectures, together with the clinical questions addressed, and the achieved genetic or molecular correlations are presented, while a performance comparison of the proposed methodologies is conducted. Finally, current limitations, potentially understudied topics and future research directions are discussed.

RNA editing-based classification of diffuse gliomas: predicting isocitrate dehydrogenase mutation and chromosome 1p/19q codeletion

BACKGROUND

Accurate classification of diffuse gliomas, the most common tumors of the central nervous system in adults, is important for appropriate treatment. However, detection of isocitrate dehydrogenase (IDH) mutation and chromosome1p/19q codeletion, biomarkers to classify gliomas, is time- and cost-intensive and diagnostic discordance remains an issue. Adenosine to inosine (A-to-I) RNA editing has emerged as a novel cancer prognostic marker, but its value for glioma classification remains largely unexplored. We aim to (1) unravel the relationship between RNA editing and IDH mutation and 1p/19q codeletion and (2) predict IDH mutation and 1p/19q codeletion status using machine learning algorithms.

RESULTS

By characterizing genome-wide A-to-I RNA editing signatures of 638 gliomas, we found that tumors without IDH mutation exhibited higher total editing level compared with those carrying it (Kolmogorov-Smirnov test, p < 0.0001). When tumor grade was considered, however, only grade IV tumors without IDH mutation exhibited higher total editing level. According to 10-fold cross-validation, support vector machines (SVM) outperformed random forest and AdaBoost (DeLong test, p < 0.05). The area under the receiver operating characteristic curve (AUC) of SVM in predicting IDH mutation and 1p/19q codeletion were 0.989 and 0.990, respectively. After performing feature selection, AUCs of SVM and AdaBoost in predicting IDH mutation were higher than that of random forest (0.985 and 0.983 vs. 0.977; DeLong test, p < 0.05), but AUCs of the three algorithms in predicting 1p/19q codeletion were similar (0.976-0.982). Furthermore, 67% of the six continuously misclassified samples by our 1p/19q codeletion prediction models were misclassifications in the original labelling after inspection of 1p/19q status and/or pathology report, highlighting the accuracy and clinical utility of our models.

CONCLUSIONS

The study represents the first genome-wide analysis of glioma editome and identifies RNA editing as a novel prognostic biomarker for glioma. Our prediction models provide standardized, accurate, reproducible and objective classification of gliomas. Our models are not only useful in clinical decision-making, but also able to identify editing events that have the potential to serve as biomarkers and therapeutic targets in glioma management and treatment.

Prognostic Factors in Elderly Patients with High-grade Gliomas: A Retrospective Analysis of 24 Cases

Background and Objectives:

Due to the aging of the population, diagnosis of high-grade gliomas (HGGs) in the elderly is becoming more common. The purpose of this study was to report our experience in 24 elderly patients with HGGs and evaluate the value of different prognostic factors.

Design and Setting:

Retrospective analysis of 24 elderly patients of ≥60 years with newly diagnosed HGGs, who were treated at our department between January 2009 and December 2012, was done.

Patients and Methods:

Age, gender, Karnofsky performance scale (KPS) score, extent of surgery, and use of temozolomide were evaluated using univariate and multivariate analyses. Survival was determined using the Kaplan–Meier method, and differences were compared using the log-rank test. Cox regression analysis was conducted to identify the independent prognostic factors.

Results:

The median overall survival of the patient cohort was 10 months. The 1- and 2-year survival rates were 45.8% and 16.6%, respectively. The analysis revealed that KPS score and use of concomitant chemotherapy were significant prognostic factors.

Conclusion:

The results of our analyses demonstrate that KPS score and use of concomitant chemotherapy yield encouraging outcomes in elderly patients with HGGs, validating the results published in research papers.

Effects of lentivirus-mediated CYP17A1 gene silencing on the biological activity of glioma

Gliomas are the most common malignant primary brain tumors with poor prognosis. We attempted to explore the role of CYP17A1 in glioma progression. We demonstrated that the expression of CYP17A1 was significantly higher in the glioma tissues than the normal brain tissues, especially in malignant glioma. Moreover, the expression of CYP17A1 gene was positively correlative with glioma pathological grades. In vitro, CYP17A1 gene silence inhibited the proliferation and invasion of glioma cells and promoted the apoptosis in glioma cells. Also, the subcutaneously transplanted tumour in BALB/C-nu showed that CYP17A1 gene silence inhibited glioma growth. These results reveal that CYP17A1 plays a major role in the progress of glioma.

Imaging Gliomas with Nanoparticle-Labeled Stem Cells

Objective:

Gliomas are the most common neoplasm of the central nervous system (CNS); however, traditional imaging techniques do not show the boundaries of tumors well. Some researchers have found a new therapeutic mode to combine nanoparticles, which are nanosized particles with various properties for specific therapeutic purposes, and stem cells for tracing gliomas. This review provides an introduction of the basic understanding and clinical applications of the combination of stem cells and nanoparticles as a contrast agent for glioma imaging.

Data Sources:

Studies published in English up to and including 2017 were extracted from the PubMed database with the selected key words of “stem cell,” “glioma,” “nanoparticles,” “MRI,” “nuclear imaging,” and “Fluorescence imaging.”

Study Selection:

The selection of studies focused on both preclinical studies and basic studies of tracking glioma with nanoparticle-labeled stem cells.

Results:

Studies have demonstrated successful labeling of stem cells with multiple types of nanoparticles. These labeled stem cells efficiently migrated to gliomas of varies models and produced signals sensitively captured by different imaging modalities.

Conclusion:

The use of nanoparticle-labeled stem cells is a promising imaging platform for the tracking and treatment of gliomas.

Immunotherapeutic Strategies for Malignant Glioma

BACKGROUND

Despite advances in surgery, radiation therapy, and chemotherapy, only modest improvement has been achieved in the survival of patients with malignant gliomas.

METHODS

The authors review the immunologic aspects of gliomas, potential targets for therapy, and issues surrounding current immunotherapeutic strategies directed against malignant gliomas.

RESULTS

The blood-brain barrier and the purported immunological privilege of the brain are not necessarily insurmountable obstacles to effective immunotherapy for brain tumors. Preclinical studies suggest a number of potential therapeutic avenues. Translational studies offer the prospect of providing substantial new information about immunological trafficking in the nervous system and suggesting the most fruitful approaches to immunotherapy for malignant gliomas.

CONCLUSIONS

More effective adjuvant treatments for malignant gliomas are needed. The applicability of immunological approaches in the treatment of these tumors warrants continued study.

Value of Minimum Apparent Diffusion Coefficient on Magnetic Resonance Imaging as a Biomarker for Predicting Progression of Disease Following Surgery and Radiotherapy in Glial Tumors from a Tertiary Care Center in Northern India

Purpose:

Studies have shown that cellularity of glial tumors are inversely correlated to minimum apparent diffusion coefficient (ADC) values derived on diffusion-weighted imaging (DWI). The purpose of this prospective exploratory study was to evaluate whether temporal change in “minimum ADC” values during follow-up predict progressive disease in glial tumors post radiotherapy and surgery.

Materials and Methods:

Adult patients of glial tumors, subjected to surgery followed by Radiotherapy (RT), were included in the study. Serial conventional magnetic resonance imaging with DWI at the following time points – presurgery, pre-RT, post-RT imaging at 3, 7, and 15 months were done. For “minimum ADC” values, multiple regions of interest (ROI) were identified on ADC maps derived from DWI. A mean of 5 minimum ADC values was chosen as “minimum ADC” value. The correlation was drawn between histology and minimum ADC values and time trends were studied.

Results:

Fourteen patients were included in this study. Histologies were low-grade glioma (LGG) – 5, anaplastic oligodendroglioma (ODG) -5, and glioblastoma multiforme (GBM) – 4. Minimum ADC values were significantly higher in LGG and GBM than ODG. Presurgery, the values were 0.812, 0.633, and 0.787 × 10⁻³ mm²/s for LGG, ODG, and GBM, respectively. DWI done at the time of RT planning showed values of 0.786, 0.636, 0.869 × 10⁻³ mm²/s, respectively. During follow-up, the increasing trend of minimum ADC was observed in LGG (P = 0.02). All these patients were clinically and radiologically stable. Anaplastic ODGs, however, showed an initial increase followed by the fall of minimum ADC in all the 5 cases (P = 0.00). Four of the five cases developed progressive disease subsequently. In all the 4 GBM cases, a consistent fall of minimum ADC values was observed (P = 0.00), and they all progressed in spite of RT.

Conclusions:

The DWI-derived minimum ADC values are an important yet simple quantitative tool to assess the treatment response and disease progression before they are evident on conventional imaging during the follow-up of glial tumors.

MiR-200c Inhibits the Tumor Progression of Glioma via Targeting Moesin

We attempt to demonstrate the regulatory role of miR-200c in glioma progression and its mechanisms behind. Here, we show that miR-200c expression was significantly reduced in the glioma tissues compared to paratumor tissues, especially in malignant glioma. Exogenous overexpression of miR-200c inhibited the proliferation and invasion of glioma cells. In addition, the in vivo mouse xenograft model showed that miR-200c inhibited glioma growth and liver metastasis, which is mainly regulated by targeting moesin (MSN). We demonstrated that the expression of MSN in glioma specimens were negatively correlated with miR-200c expression, and MSN overexpression rescued the phenotype about cell proliferation and invasion induced by miR-200c. Moreover, knockdown of MSN was able to mimic the effects induced by miR-200c in glioma cells. These results indicate that miR-200c plays an important role in the regulation of glioma through targeting MSN.

Investigating the impact of headaches on the quality of life of patients with glioblastoma multiforme: a qualitative study

OBJECTIVES

Headaches and facial pain have been identified as the most prevalent form of pain among patients with glioblastoma multiforme, the most common malignant primary brain tumour. Despite this, minimal research has been undertaken investigating the direct and indirect impact these headaches have on their quality of life. Therefore, in this study, we aimed at gaining a personal insight into the importance and impact that these headaches have on the quality of life of patients with glioblastoma multiforme.

DESIGN

Exploratory study using face-to-face semistructured interviews. Interviews were audio-recorded, transcribed verbatim and then qualitatively analysed using thematic analysis.

SETTING

Participants recruited from a tertiary referral hospital in Birmingham, UK.

PARTICIPANTS

Purposive sampling of 14 registered outpatients recently diagnosed with glioblastoma multiforme.

RESULTS

3 themes were identified: (1) an underlying attitude of determination and positivity; (2) impact of headache unpredictability on social interaction; (3) headaches found to act as a springboard onto thoughts regarding their disease and future.

CONCLUSIONS

While the quality of life of patients with glioblastoma multiforme is clearly multifactorial, headaches do indeed play a part for some. However, it is not the direct pain of the headache as one might expect that impacts on the quality of life of these patients, but the indirect effect of headaches through limiting patients' social lives and by serving as a painful psychological reminder of having a life-threatening illness. In clinical practice, using headache diaries for these patients may help provide a more comprehensive assessment and further aid management plans. Alongside acting as an important reminder of the potential secondary implications of this disease, suggestions for future research include quantitatively investigating whether headaches can act as a prognostic indicator for quality of life within this patient demographic and determining whether these conclusions also hold true for a wider spectrum of patients with brain tumour.

The use and impact of quality of life assessment tools in clinical care settings for cancer patients, with a particular emphasis on brain cancer: insights from a systematic review and stakeholder consultations

Purpose

Patient-reported data are playing an increasing role in health care. In oncology, data from quality of life (QoL) assessment tools may be particularly important for those with limited survival prospects, where treatments aim to prolong survival while maintaining or improving QoL. This paper examines the use and impact of using QoL measures on health care of cancer patients within a clinical setting, particularly those with brain cancer. It also examines facilitators and challenges, and provides implications for policy and practice.

Design

We conducted a systematic literature review, 15 expert interviews and a consultation at an international summit.

Results

The systematic review found no relevant intervention studies specifically in brain cancer patients, and after expanding our search to include other cancers, 15 relevant studies were identified. The evidence on the effectiveness of using QoL tools was inconsistent for patient management, but somewhat more consistent in favour of improving patient–physician communication. Interviews identified unharnessed potential and growing interest in QoL tool use and associated challenges to address.

Conclusion

Our findings suggest that the use of QoL tools in cancer patients may improve patient–physician communication and have the potential to improve care, but the tools are not currently widely used in clinical practice (in brain cancer nor some other cancer contexts) although they are in clinical trials. There is a need for further research and stakeholder engagement on how QoL tools can achieve most impact across cancer and patient contexts. There is also a need for policy, health professional, research and patient communities to strengthen information exchange and debate, support awareness raising and provide training on tool design, use and interpretation.

Electronic supplementary material

The online version of this article (doi:10.1007/s11136-016-1278-6) contains supplementary material, which is available to authorized users.

CCAAT/enhancer binding protein β induces motility and invasion of glioblastoma cells through transcriptional regulation of the calcium binding protein S100A4

We have previously shown that decreased expression of CCAAT/enhancer binding protein β (C/EBPβ) inhibits the growth of glioblastoma cells and diminishes their transformation capacity and migration. In agreement with this, we showed that C/EBPβ depletion decreases the mRNA levels of different genes involved in metastasis and invasion. Among these, we found S100 calcium binding protein A4 (S100A4) to be almost undetectable in glioblastoma cells deficient in C/EBPβ. Here, we have evaluated the possible role of S100A4 in the observed effects of C/EBPβ in glioblastoma cells and the mechanism through which S100A4 levels are controlled by C/EBPβ. Our results show that C/EBPβ suppression significantly reduced the levels of S100A4 in murine GL261 and human T98G glioblastoma cells. By employing an S100A4-promoter reporter, we observed a significant induction in the transcriptional activation of the S100A4 gene by C/EBPβ. Furthermore, overexpression of S100A4 in C/EBPβ-depleted glioblastoma cells reverses the enhanced migration and motility induced by this transcription factor. Our data also point to a role of S100A4 in glioblastoma cell invasion and suggest that the C/EBPβ gene controls the invasive potential of GL261 and T98G cells through direct regulation of S100A4. Finally, this study indicates a role of C/EBPβ on the maintenance of the stem cell population present in GL261 glioblastoma cells.

Magnetic resonance diffusion metrics indexing high focal cellularity and sharp transition at the tumour boundary predict poor outcome in glioblastoma multiforme

AIM

To investigate the prognostic power of intra-tumoural and gradient magnetic resonance imaging (MRI) diffusion metrics in patients with glioblastoma multiforme (GBM).

MATERIALS AND METHODS

Forty-six consecutive patients with histologically confirmed GBM who had undergone preoperative diffusion tensor imaging at 3 T were included. Mean diffusivity (MD) and MD gradient maps were computed. Regions of interest were analysed to determine the minimum MD within the enhancing tumour (minMD). MD gradients were calculated along the enhancing tumour boundary and subjected to histogram analysis. Overall survival (OS) and time to progression (TTP) were derived and survival analysis was undertaken.

RESULTS

There were 31 deaths and 37 patients progressed during the study period. Multivariate survival analysis, controlling for treatment and gender, showed that minMD values<6.1×10(-4) mm(2)/s predicted shorter OS (hazard ratio [HR]=2.82, 1.25-6.34; p=0.012) and TTP (HR=5.43, 1.96-15.05; p=0.001). Higher MD gradient values of the tumour boundary predicted shorter survival: MD gradient values >4.7×10(-5) mm(2)/s (10(th) centile) had a significantly shorter OS with a HR of 0.43 (0.19-0.96; p=0.04). Similarly, a value above 1.4×10(-4) mm(2)/s (75(th) centile) was a significant predictor for shorter OS (HR=0.39, 0.17-0.89; p=0.03).

CONCLUSIONS

Lower minMD and higher MD gradient values for the 10(th) and 75(th) percentile of the tumour boundary demonstrated prognostic value in preoperative GBM. This suggests that MRI diffusion metrics indicative of higher focal cellularity and steeper transition from high cellular tumour edge to low cellular oedema define more aggressive glioblastoma subtypes with a poorer prognosis.

Epilepsy in patients with primary brain tumors: The impact on mood, cognition, and HRQOL

BACKGROUND

A primary brain tumor (PBT) is often a fatal disease of the nervous system and has a serious impact on health-related quality of life (HRQOL). Presence of epilepsy and adverse reactions from tumor and epilepsy treatments may cause additional decline in HRQOL.

OBJECTIVES

We aimed to study the impact of epileptic seizures on cognition, mood, and HRQOL in patients with brain tumor-related epilepsy.

MATERIALS AND METHOD

Patients were grouped on an ordinal scale according to epilepsy burden from none to severe based on the presence of epileptic seizures and seizure frequency: L1, no epilepsy; L2, with epilepsy, seizure-free in the last 6 months with antiepileptic drugs; and L3, with epilepsy, at least one seizure in the last 6 months with AEDs. Health-related quality of life was measured by Functional Assessment of Cancer Therapy-Brain (FACT-Br) and Quality of Life in Epilepsy-31 (QOLIE-31) tools, cognition by the Montreal Cognitive Assessment (MoCA) tool and Frontal Assessment Battery (FAB), mood by the Hospital Anxiety and Depression Scale (HADS), activities of daily living (ADLs) by the Barthel Index (BI), and performance status by the Karnofsky Performance Status (KPS) scale in patients with primary brain tumors at least one month following neurosurgery with or without radiotherapy and chemotherapy.

RESULTS

Eighty-one patients with a diagnosis of primary brain tumors were recruited. Sixty-eight percent of patients were diagnosed with primary brain tumor-related epilepsy, 50.61% patients had cognitive impairment, 33% had abnormal scores in the anxiety scale, and 34% had abnormal scores in the depression scale. There were no statistically significant differences in these scores among L1, L2, and L3 groups. There were statistically significant differences in duration of disease and KPS and BI scores between L1 and L3 groups. The L3 group has significantly longer duration of disease and scored low in both the BI and KPS scale when compared to the L1 group. All patients with primary brain tumors scored significantly low in FACT-Br 'physical well-being' (PWB) and 'emotional well-being' (EWB) and high in 'social well-being' (SWB) when compared to healthy controls. When scores of each group were individually compared to healthy controls, the L3 group showed the lowest scores in PWB, EWB, and 'functional well-being'. In SWB, L1 and L2 groups showed statistically significantly high scores when compared to normative data. The QOLIE-31 applied to groups with epilepsy showed statistically significantly lower scores in the L3 group when compared to the L2 group in 'cognitive' and 'social functioning' domains. On multivariate analysis, both poor performance status and frequency of seizures were found to be independent risk factors for poor HRQOL when FACT-Br mean scores were compared. Level of seizures was found to be an independent risk factor for poor HRQOL when QOLIE-31 scores were compared between L2 and L3 groups.

DISCUSSION

Presence of brain tumors could be attributed to cognitive impairment irrespective of the presence of epilepsy in our cohort. High seizure burden is an independent risk factor for poor HRQOL in patients with primary brain tumors. The QOLIE-31 is a more sensitive tool than the FACT-Br because of the presence of a seizure-related questionnaire.

CD38 mediates the intracellular ATP levels and cell survival of C6 glioma cells

CD38 is a multifunctional enzyme that can act as a NADase, generate cyclic adenosine diphosphate-ribose (cADPR) - a key Ca²⁺-mobilizing second messenger - and transport cADPR into cells. There have only been a small number of studies on the functions of CD38 in the central nervous system. In this study, we applied CD38 small interfering RNA (siRNA) to determine the effects of decreased CD38 on the intracellular ATP levels and survival of C6 glioma cells. Our study showed that both CD38 siRNA and 8-bromo-cADPR - a ryanodine receptor antagonist - can lead to a significant increase in the intracellular ATP levels of C6 glioma cells. We further found that the siRNA-induced CD38 reductions can induce decreases in the number of surviving cells. Our study has also suggested that P2X receptors contribute toward the CD38 siRNA-induced decreases in the cell survival. In summary, our study has provided novel evidence suggesting that CD38 mediates both the intracellular ATP levels and the survival of C6 glioma cells, suggesting that CD38 may become a therapeutic target for gliomas.

Outcome of radiosurgery for recurrent malignant gliomas: assessment of treatment response using relative cerebral blood volume

Gamma knife radiosurgery (GKS) is efficacious for treating recurrent malignant gliomas as a salvage treatment. However, contrast enhancement alone on MR imaging remains difficult to determine the treatment response following GKS. The purpose of this study was to evaluate the radiosurgical effect for recurrent malignant gliomas and to clarify if relative cerebral blood volume (rCBV) derived from dynamic susceptibility-weighted contrast-enhanced (DSC) perfusion MR imaging could represent the treatment response. Between March 2006 and December 2008, 38 patients underwent GKS for recurrent malignant gliomas. Before and after GKS, DSC perfusion MR imaging datasets were retrospectively reprocessed and regions of interest were drawn around the contrast-enhancing region targeted with GKS. DSC-perfusion MR scans were assessed at a regular interval of two months. Following GKS for the recurrent lesions, MR images showed response (stable disease or partial response) in 26 of 38 patients (68.4 %) at post-GKS 2 months and 18 of 38 patients (47.3 %) at post-GKS 4 months. Initial mean rCBV value was 2.552 (0.586-6.178) at the pre-GKS MRI. In the response group, mean rCBV value was significantly decreased (P < 0.05) at the follow up of 2 and 4 months. However, in the treatment-failure group, mean rCBV value had no significant change. We suggest that GKS is an alternative treatment choice for the recurrent glioma. DSC-perfusion MR images are helpful to predict the treatment response after GKS.

Is intraoperative diffusion tensor imaging at 3.0T comparable to subcortical corticospinal tract mapping?

BACKGROUND

Primary brain tumors in motor eloquent areas are associated with high-risk surgical procedures because of potentially permanent and often disabling motor deficits. Intraoperative primary motor cortex mapping and corticospinal tract (CST) monitoring are well-developed and reliable techniques. Imaging of the CST by diffusion tensor tractography (DTT) is also feasible.

OBJECTIVE

To evaluate the practical value of 3.0T intraoperative MRI (iMRI) with intraoperative DTT (iDTT) in surgery close to the CST, and to compare high-field iDTT with intraoperative neurophysiological CST mapping during glioma and metastasis resection in a routine setting.

METHODS

Twenty-five patients (13 males, 12 females, median 47 years) were enrolled prospectively from June 2010 to June 2012. Patients were included if they had a solitary supratentorial intracerebral lesion compressing or infiltrating the CST according to preoperative MRI. Subcortical CST mapping was performed by monopolar (cathodal) stimulation (500 Hz, 400 μs, 5 pulses). CST DTT was made both at preoperative and intraoperative 3.0T MRI. Subcortical motor-evoked potential threshold current and probe-CST distance were recorded at 155 points before and at 103 points after iMRI. Current-distance correlations were performed both for pre-iMRI and for post-iMRI data.

RESULTS

The correlation coefficient pre-iMRI was R = 0.470 (P < .001); post-iMRI, the correlation coefficient was R = 0.338 (P < .001). MRI radical resection was achieved in 17 patients (68%), subtotal in 5 (24%), and partial in 3 (12%). Postoperative paresis developed in 8 patients (32%); the paresis was permanent in 1 case (4%).

CONCLUSION

The linear current-distance correlation was found both in pre-iMRI and in post-iMRI data. Intraoperative image distortion appeared in 36%. Neurophysiological subcortical mapping remains superior to DTT. Combining these 2 methods in selected cases can help increase the safety of tumor resection close to the CST.

Diagnostic discrepancies in malignant astrocytoma due to limited small pathological tumor sample can be overcome by IDH1 testing

The accurate grading of malignant astrocytomas has significant prognostic and therapeutic implications. Traditional histopathological grading can be challenging due to regional tumor heterogeneity, especially in scenarios where small amounts of tissue are available for pathologic review. Here, we hypothesized that a critical tumor resection volume is needed for correct grading of astrocytomas by histopathology. For insufficient tissue sampling, IDH1 molecular testing can act as a complementary marker to improve diagnostic accuracy. Volumetric analyses were obtained using preoperative and postoperative MRI images. Histological specimens were gathered from 403 patients with malignant astrocytoma who underwent craniotomy. IDH1 status was assessed by immunohistochemistry and sequencing. Patients with >20 cubic centimeters (cc) of the total tumor volume resected on MRI have higher rate of GBM diagnosis compared to <20 cc [odds ratio (OR) 2.57, 95% confidence interval (CI) 1.6-4.06, P < 0.0001]. The rate of IDH1 status remained constant regardless of the tumor volume resected (OR 0.81, 95% CI 0.48-1.36, P < 0.43). The rate of GBM diagnosis is twofold greater for individual surgical specimen >10 cc than those of lower volume (OR 2.48, 95% CI 1.88-3.28, P < 0.0001). Overall survival for AA patients with >20 cc tumor resection on MRI is significantly better than those with <20 cc tumor resected (P < 0.05). No volume-dependent differences were observed in patients with GBM (P < 0.4), IDH1 wild type (P < 0.1) or IDH1 mutation (P < 0.88). IDH1 status should be considered when total resection volume is <20 cc based on MRI analysis and for surgical specimen <10 cc to complement histopathologic diagnosis of malignant astrocytomas. In these specimens, under-diagnosis of GBM may occur when analysis is restricted to histopathology alone.

Continuous dynamic mapping of the corticospinal tract during surgery of motor eloquent brain tumors: evaluation of a new method

Object

The authors developed a new mapping technique to overcome the temporal and spatial limitations of classic subcortical mapping of the corticospinal tract (CST). The feasibility and safety of continuous (0.4–2 Hz) and dynamic (at the site of and synchronized with tissue resection) subcortical motor mapping was evaluated.

Methods

The authors prospectively studied 69 patients who underwent tumor surgery adjacent to the CST (< 1 cm using diffusion tensor imaging and fiber tracking) with simultaneous subcortical monopolar motor mapping (short train, interstimulus interval 4 msec, pulse duration 500 μsec) and a new acoustic motor evoked potential alarm. Continuous (temporal coverage) and dynamic (spatial coverage) mapping was technically realized by integrating the mapping probe at the tip of a new suction device, with the concept that this device will be in contact with the tissue where the resection is performed. Motor function was assessed 1 day after surgery, at discharge, and at 3 months.

Results

All procedures were technically successful. There was a 1:1 correlation of motor thresholds for stimulation sites simultaneously mapped with the new suction mapping device and the classic fingerstick probe (24 patients, 74 stimulation points; r2 = 0.98, p < 0.001). The lowest individual motor thresholds were as follows: > 20 mA, 7 patients; 11–20 mA, 13 patients; 6–10 mA, 8 patients; 4–5 mA, 17 patients; and 1–3 mA, 24 patients. At 3 months, 2 patients (3%) had a persistent postoperative motor deficit, both of which were caused by a vascular injury. No patient had a permanent motor deficit caused by a mechanical injury of the CST.

Conclusions

Continuous dynamic mapping was found to be a feasible and ergonomic technique for localizing the exact site of the CST and distance to the motor fibers. The acoustic feedback and the ability to stimulate the tissue continuously and exactly at the site of tissue removal improves the accuracy of mapping, especially at low (< 5 mA) stimulation intensities. This new technique may increase the safety of motor eloquent tumor surgery.

Synergistic inhibition of survival, proliferation, and migration of U87 cells with a combination of LY341495 and Iressa

Glioblastomas exploit various molecular pathways to promote glutamate- dependent growth by activating the AMPA (2-amino-3-(3-hydroxy-5-methyl-isoxazol-4-yl) propanoic acid) receptor, the group II metabotropic glutamate receptor, mGluR, and the epidermal growth factor receptor, EGFR. We hypothesized that targeting more than one of these pathways would be more effective in inhibiting glutamate-dependent growth. Using a model of U87 cell line, we show that blocking glutamate release by Riluzole inhibits cell proliferation. Glutamate-dependent growth is effectively inhibited by a combination of Iressa, an inhibitor of EGFR activation and LY341495, a group II mGluR inhibitor. Treatment of U87 cells with a combination of Iressa and LY341495 inhibits proliferation as indicated by Ki-67 staining, induces apoptosis and inhibits migration of U87 cells more effectively than the treatment by Iressa or LY341495 alone. These results demonstrate that a combinatorial therapy with Iressa and LY341495 is more effective due to synergistic effects of these drugs in inhibiting the growth of glioblastoma.

A data mining system for providing analytical information on brain tumors to public health decision makers

Cancer is the leading cause of death in economically developed countries and the second leading cause of death in developing countries. Malignant brain neoplasms are among the most devastating and incurable forms of cancer, and their treatment may be excessively complex and costly. Public health decision makers require significant amounts of analytical information to manage public treatment programs for these patients. Data mining, a technology that is used to produce analytically useful information, has been employed successfully with medical data. However, the large-scale adoption of this technique has been limited thus far because it is difficult to use, especially for non-expert users. One way to facilitate data mining by non-expert users is to automate the process. Our aim is to present an automated data mining system that allows public health decision makers to access analytical information regarding brain tumors. The emphasis in this study is the use of ontology in an automated data mining process. The non-experts who tried the system obtained useful information about the treatment of brain tumors. These results suggest that future work should be conducted in this area.

Fasting enhances the response of glioma to chemo- and radiotherapy

BACKGROUND

Glioma, including anaplastic astrocytoma and glioblastoma multiforme (GBM) are among the most commonly diagnosed malignant adult brain tumors. GBM is a highly invasive and angiogenic tumor, resulting in a 12 to 15 months median survival. The treatment of GBM is multimodal and includes surgical resection, followed by adjuvant radio-and chemotherapy. We have previously reported that short-term starvation (STS) enhances the therapeutic index of chemo-treatments by differentially protecting normal cells against and/or sensitizing tumor cells to chemotoxicity.

METHODOLOGY AND PRINCIPAL FINDINGS

To test the effect of starvation on glioma cells in vitro, we treated primary mouse glia, murine GL26, rat C6 and human U251, LN229 and A172 glioma cells with Temozolomide in ad lib and STS mimicking conditions. In vivo, mice with subcutaneous or intracranial models of GL26 glioma were starved for 48 hours prior to radio- or chemotherapy and the effects on tumor progression and survival were measured. Starvation-mimicking conditions sensitized murine, rat and human glioma cells, but not primary mixed glia, to chemotherapy. In vivo, starvation for 48 hours, which causes a significant reduction in blood glucose and circulating insulin-like growth factor 1 (IGF-1) levels, sensitized both subcutaneous and intracranial glioma models to radio-and chemotherapy.

CONCLUSION

Starvation-induced cancer sensitization to radio- or chemotherapy leads to extended survival in the in vivo glioma models tested. These results indicate that fasting and fasting-mimicking interventions could enhance the efficacy of existing cancer treatments against aggressive glioma in patients.

DW-MRI as a biomarker to compare therapeutic outcomes in radiotherapy regimens incorporating temozolomide or gemcitabine in glioblastoma

The effectiveness of the radiosensitizer gemcitabine (GEM) was evaluated in a mouse glioma along with the imaging biomarker diffusion-weighted magnetic resonance imaging (DW-MRI) for early detection of treatment effects. A genetically engineered murine GBM model [Ink4a-Arf^−/− Pten^loxP/loxP/Ntv-a RCAS/PDGF(+)/Cre(+)] was treated with gemcitabine (GEM), temozolomide (TMZ) +/− ionizing radiation (IR). Therapeutic efficacy was quantified by contrast-enhanced MRI and DW-MRI for growth rate and tumor cellularity, respectively. Mice treated with GEM, TMZ and radiation showed a significant reduction in growth rates as early as three days post-treatment initiation. Both combination treatments (GEM/IR and TMZ/IR) resulted in improved survival over single therapies. Tumor diffusion values increased prior to detectable changes in tumor volume growth rates following administration of therapies. Concomitant GEM/IR and TMZ/IR was active and well tolerated in this GBM model and similarly prolonged median survival of tumor bearing mice. DW-MRI provided early changes to radiosensitization treatment warranting evaluation of this imaging biomarker in clinical trials.

Prognostic factors and survival in a prospective cohort of patients with high-grade glioma treated with carmustine wafers or temozolomide on an intention-to-treat basis

BACKGROUND

Patients with high-grade glioma can be treated with carmustine wafers or following the Stupp protocol. As far as we are aware, no scientific evidence has been published comparing the two treatments. The primary objective of this study was to analyse the survival of groups of patients with each of these treatment modalities. The secondary objective was to assess the influence of the usual prognostic factors on the patients in our hospital.

METHODS

A prospective cohort of 110 patients with single, supratentorial high-grade glioma treated by craniotomy and tumour resection was retrospectively studied. Half of the patients had carmustine wafers placed during this operation while the others (55) did not, the latter group receiving first-line systemic chemotherapy on an intention-to-treat basis.

FINDINGS

Patients treated with carmustine wafers had a median survival of 13.414 months compared with 11.047 in the group without implants (p = 0.856). For the overall cohort of patients, the following factors were found to influence survival: age (p < 0.0001), postoperative KPS score (p = 0.001), histological grade (p = 0.004), RPA class (p = 0.001), extent of resection (p = 0.002) and salvage surgery (p = 0.028).

CONCLUSIONS

In this prospective cohort of patients, analysed on the basis of intention-to-treat at the time of the first surgery, no statistically significant differences in survival were found between the two treatment modalities (carmustine wafers vs. first-line systemic chemotherapy). On the other hand, age, preoperative KPS, histological grade, and RPA class were confirmed to be prognostic factors in this cohort. Finally, the extent of resection was also found to influence survival.

Independent prognostic value of pre-treatment 18-FDG-PET in high-grade gliomas

The prognostic value of PET with (18F)-fluoro-2-deoxy-D: -glucose (FDG) has been shown in high-grade gliomas (HGG), but not compared with consensual prognostic factors. We sought to evaluate the independent predictive value of pre-treatment FDG-PET on overall (OS) and event-free survival (EFS). We retrospectively analyzed 41 patients with histologically-confirmed HGG (31 glioblastomas and 10 anaplastic gliomas). The pre-treatment uptake of FDG was assessed qualitatively by five-step visual metabolic grading, and quantitatively by the ratio between the tumor and contralateral maximal standardized uptake value (T/CL). EFS and OS following PET were compared with FDG uptake by univariate analysis, and by two multivariate analyses: one including main consensual prognostic factors (age, KPS, extent of surgery and histological grade), and the other including the classification system of the Radiation Therapy Oncology Group (Recursive Partitioning Analysis, RPA). Median OS and EFS were 13.8 and 7.4 months, respectively, for glioblastomas, and over 25.8 and 12 months, respectively, for anaplastic gliomas (P = 0.040 and P = 0.027). The T/CL ratio predicted OS in the entire group [P = 0.003; Hazard Ratio (HR) = 2.3] and in the glioblastoma subgroup (P = 0.018; HR = 2), independently of age, Karnofsky performance status, histological grade, and surgery, and independently of RPA classification. T/CL ratio tended to predict EFS in the whole group (P = 0.052). The prognostic value of visual metabolic grade on OS was less significant than T/CL ratio, both in the entire group and in the glioblastoma subgroup (P = 0.077 and P = 0.059). Quantitative evaluation of the ratio between the maximal tumor and contralateral uptake in pre-treatment FDG-PET provides significant additional prognostic information in newly-diagnosed HGG, independently of consensual prognostic factors.

Quantification of Glioma Removal by Intraoperative High-Field Magnetic Resonance Imaging: An Update

BACKGROUND:

The beneficial role of the extent of resection (EOR) in glioma surgery in correlation to increased survival remains controversial. However, common literature favors maximum EOR with preservation of neurological function, which is shown to be associated with a significantly improved outcome.

OBJECTIVE:

In order to obtain a maximum EOR, it was examined whether high-field intraoperative magnetic resonance imaging (iMRI) combined with multimodal navigation contributes to a significantly improved EOR in glioma surgery.

METHODS:

Two hundred ninety-three glioma patients underwent craniotomy and tumor resection with the aid of intraoperative 1.5 T MRI and integrated multimodal navigation. In cases of remnant tumor, an update of navigation was performed with intraoperative images. Tumor volume was quantified pre- and intraoperatively by segmentation of T2 abnormality in low-grade and contrast enhancement in high-grade gliomas.

RESULTS:

In 25.9% of all cases examined, additional tumor mass was removed as a result of iMRI. This led to complete tumor resection in 20 cases, increasing the rate of gross-total removal from 31.7% to 38.6%. In 56 patients, additional but incomplete resection was performed because of the close location to eloquent brain areas. Volumetric analysis showed a significantly (P &lt; .01) reduced mean percentage of tumor volume following additional further resection after iMRI from 33.5% ± 25.1% to 14.7% ± 23.3% (World Health Organization [WHO] grade I, 32.8% ± 21.9% to 6.1% ± 18.8%; WHO grade II, 24.4% ± 25.1% to 10.8% ± 11.0%; WHO grade III, 35.1% ± 27.3% to 24.8% ± 26.3%; WHO grade IV, 34.2% ± 23.7% to 1.2% ± 16.2%).

CONCLUSION:

MRI in conjunction with multimodal navigation and an intraoperative updating procedure enlarges tumor-volume reduction in glioma surgery significantly without higher postoperative morbidity.

Metabolic management of brain cancer

Malignant brain tumors are a significant health problem in children and adults. Conventional therapeutic approaches have been largely unsuccessful in providing long-term management. As primarily a metabolic disease, malignant brain cancer can be managed through changes in metabolic environment. In contrast to normal neurons and glia, which readily transition to ketone bodies (β-hydroxybutyrate) for energy under reduced glucose, malignant brain tumors are strongly dependent on glycolysis for energy. The transition from glucose to ketone bodies as a major energy source is an evolutionary conserved adaptation to food deprivation that permits the survival of normal cells during extreme shifts in nutritional environment. Only those cells with a flexible genome and normal mitochondria can effectively transition from one energy state to another. Mutations restrict genomic and metabolic flexibility thus making tumor cells more vulnerable to energy stress than normal cells. We propose an alternative approach to brain cancer management that exploits the metabolic flexibility of normal cells at the expense of the genetically defective and metabolically challenged tumor cells. This approach to brain cancer management is supported from recent studies in mice and humans treated with calorie restriction and the ketogenic diet. Issues of implementation and use protocols are presented for the metabolic management of brain cancer.

Psychosocial implications for the patient with a high-grade glioma

The purpose of this article was to explore the psychosocial implications of being diagnosed with a high-grade glioma, World Health Organization III/IV and IV/IV, to better inform healthcare providers and researchers of the patient experience. The information is the cumulative data collected from hundreds of patient interviews in a large metropolitan brain tumor clinic over a 7-year period. Three themes of loss emerged--loss of independence, loss of self, and loss of relationships. This information is presented on behalf of the patients for acknowledgement of their experience and for identification of the need for increased psychological and concrete services to better serve this population.

Antitumor activity of cytokine-induced killer cells in nude mouse xenograft model

Malignant glioma is the most common primary brain tumor in adults and the median survival for patients is less than a year. Despite aggressive treatments including surgical resection, radiotherapy, and chemotherapy, only modest improvement has been achieved in the survival of patients with glioma. In this study, the antitumor activity of cytokine-induced killer (CIK) cells against human glioma cancer was evaluated in vitro and in vivo. Human peripheral blood mononuclear cells were cultured with IL-2-containing medium in anti-CD3 antibody-coated flasks for 5 days, followed by incubation in IL-2-containing medium for 9 days. The number of cells increased more than 200-fold and the viability was >90%. The resulting populations were consisted of 96% CD3(+), 2% CD3(-)CD56(+), 68% CD3(+)CD56(+), 2% CD4(+), <1% CD4(+)CD56(+), 80% CD8(+), and 49% CD8(+)CD56(+). This heterogeneous cell population was called as CIK cells. At an effector-target cell ratio of 30:1, CIK cells destroyed 43% of U-87 MG human glioma cells, as measured by the (51)Cr-release assay. In addition, CIK cells at doses of 0.3, 1, and 3 million cells per mouse inhibited 23%, 40%, and 50% of U-87 MG tumor growth in nude mouse xenograft assays, respectively. This study suggests that CIK cells may be used as an adoptive immunotherapy for glioma cancer patients.

Convection-enhanced delivery of liposomes to primate brain

Direct delivery of therapeutic agents to the human central nervous system remains an inadequately studied field. Our group has extensively studied and refined a powerful method for distributing various macromolecules and nanoparticles into the parenchyma by means of a procedure called convection-enhanced delivery (CED). First, we developed an improved design of infusion cannula that greatly decreased the likelihood of reflux of infusate up the outside of the cannula. Second, we began to use liposomes loaded with the MRI contrast reagent, Gadoteridol (Gd), to track infusions into brain parenchyma in real time. This innovation generated a wealth of quantitative and qualitative data that in turn drove further improvements in CED. In this chapter, we review many of the recently devised methods needed to ensure controlled distribution of therapeutic agents in the brain.

Health-related quality of life in patients with high-grade glioma

Health-related quality of life (HRQOL) has become an increasingly important endpoint in cancer studies; however, the research into the HRQOL of patients with high-grade glioma (HGG) is sparse compared with that for patients with other neoplasms. Owing to the specific location and poor prognosis, it is more important and difficult to study HRQOL in patients with HGG than in those with other tumors; furthermore, the study of HRQOL in patients with HGG differs from that for patients with other tumors. In this review, we identified and compared the most frequently used instruments to assess HRQOL; analyzed specific facets and determinants of HRQOL (such as sex, tumor location and histological classification, depression, and cognitive function), as well as the association between HRQOL and survival; and appraised the effects of new treatments on HRQOL in patients with HGG from randomized controlled trials. Furthermore, we detected broadly existing problems and many contradictory outcomes and gave some proper interpretation and suggestions regarding them.

Prognostic value of perfusion MR imaging of high-grade astrocytomas: long-term follow-up study

BACKGROUND AND PURPOSE

Although the prognostic value of perfusion MR imaging in various gliomas has been investigated, that in high-grade astrocytomas alone has not been fully evaluated. The purpose of this study was to evaluate retrospectively whether the tumor maximum relative cerebral blood volume (rCBV) on pretreatment perfusion MR imaging is of prognostic value in patients with high-grade astrocytoma.

MATERIALS AND METHODS

Between January 1999 and December 2002, 49 patients (30 men, 19 women; age range, 23-76 years) with supratentorial high-grade astrocytoma underwent MR imaging before the inception of treatment. The patient age, sex, symptom duration, neurologic function, mental status, Karnofsky Performance Scale, extent of surgery, histopathologic diagnosis, tumor component enhancement, and maximum rCBV were assessed to identify factors affecting survival. Kaplan-Meier survival curves, the logrank test, and the multivariate Cox proportional hazards model were used to evaluate prognostic factors.

RESULTS

The maximum rCBV was significantly higher in the 31 patients with glioblastoma multiforme than in the 18 with anaplastic astrocytoma (P < .03). The 2-year overall survival rate was 67% for 27 patients with a low (< or =2.3) and 9% for 22 patients with a high (>2.3) maximum rCBV value (P < .001). Independent important prognostic factors were the histologic diagnosis (hazard ratio = 9.707; 95% confidence interval (CI), 3.163-29.788), maximum rCBV (4.739; 95% CI, 1.950-11.518), extent of surgery (2.692; 95% CI, 1.196-6.061), and sex (2.632; 95% CI, 1.153-6.010).

CONCLUSION

The maximum rCBV at pretreatment perfusion MR imaging is a useful clinical prognostic biomarker for survival in patients with high-grade astrocytoma.

Mechanisms of Disease: the role of stem cells in the biology and treatment of gliomas

The study of neural stem cell and progenitor cell biology has improved our understanding of the biology of brain tumors in a developmental context. Recent work has demonstrated that brain tumors may harbor small subpopulations of cells that share characteristics of neural stem cells. There is still an ongoing debate about the specific role of these stem-like cells in cancer initiation, development and progression. Nonetheless, the concept of cancer stem cells has offered a new paradigm to understand tumor biology and resistance to current treatment modalities. Molecular aberrations in these cancer stem cells might be crucial targets for therapeutic intervention, with the hope of achieving more durable clinical responses. Recent studies have demonstrated that endogenous and transplanted neural stem cells and progenitor cells show a marked tropism to brain tumors. Although the mechanisms that govern these processes are poorly understood, the use of neural stem cells and progenitor cells as delivery vehicles for molecules toxic to tumors offers a promising experimental treatment strategy. This Review summarizes recent advances in the basic understanding of neural stem cell and cancer stem cell biology and the progress towards translating these novel concepts into the clinic.

Prognostic factors for survival in 676 consecutive patients with newly diagnosed primary glioblastoma

Reliable data on large cohorts of patients with glioblastoma are needed because such studies differ importantly from trials that have a strong bias toward the recruitment of younger patients with a higher performance status. We analyzed the outcome of 676 patients with histologically confirmed newly diagnosed glioblastoma who were treated consecutively at a single institution over a 7-year period (1997-2003) with follow-up to April 30, 2006. Survival probabilities were 57% at 1 year, 16% at 2 years, and 7% at 3 years. Progression-free survival was 15% at 1 year. Prolongation of survival was significantly associated with surgery in patients with a good performance status, whatever the patient's age, with an adjusted hazard ratio of 0.55 (p < 0.001) or a 45% relative decrease in the risk of death. Radiotherapy and chemotherapy improved survival, with adjusted hazard ratios of 0.61 (p = 0.001) and 0.89 (p = 0.04), respectively, regardless of age, performance status, or residual tumor volume. Recurrence occurred in 99% of patients throughout the follow-up. Reoperation was performed in one-fourth of these patients but was not effective, whether performed within 9 months (hazard ratio, 0.86; p = 0.256) or after 9 months (hazard ratio, 0.98; p = 0.860) of initial surgery, whereas second-line chemotherapy with procarbazine, lomustine, and vincristine (PCV) or with temozolomide improved survival (hazard ratio, 0.77; p = 0.008). Surgery followed by radiotherapy and chemotherapy should be considered in all patients with glioblastoma, and these treatments should not be withheld because of increasing age alone. The benefit of second surgery at recurrence is uncertain, and new trials are needed to assess its effectiveness. Chemotherapy with PCV or temozolomide seems to be a reasonable option at tumor recurrence.

Prognostic factors for survival in 676 consecutive patients with newly diagnosed primary glioblastoma

Reliable data on large cohorts of patients with glioblastoma are needed because such studies differ importantly from trials that have a strong bias toward the recruitment of younger patients with a higher performance status. We analyzed the outcome of 676 patients with histologically confirmed newly diagnosed glioblastoma who were treated consecutively at a single institution over a 7-year period (1997-2003) with follow-up to April 30, 2006. Survival probabilities were 57% at 1 year, 16% at 2 years, and 7% at 3 years. Progression-free survival was 15% at 1 year. Prolongation of survival was significantly associated with surgery in patients with a good performance status, whatever the patient's age, with an adjusted hazard ratio of 0.55 (p < 0.001) or a 45% relative decrease in the risk of death. Radiotherapy and chemotherapy improved survival, with adjusted hazard ratios of 0.61 (p = 0.001) and 0.89 (p = 0.04), respectively, regardless of age, performance status, or residual tumor volume. Recurrence occurred in 99% of patients throughout the follow-up. Reoperation was performed in one-fourth of these patients but was not effective, whether performed within 9 months (hazard ratio, 0.86; p = 0.256) or after 9 months (hazard ratio, 0.98; p = 0.860) of initial surgery, whereas second-line chemotherapy with procarbazine, lomustine, and vincristine (PCV) or with temozolomide improved survival (hazard ratio, 0.77; p = 0.008). Surgery followed by radiotherapy and chemotherapy should be considered in all patients with glioblastoma, and these treatments should not be withheld because of increasing age alone. The benefit of second surgery at recurrence is uncertain, and new trials are needed to assess its effectiveness. Chemotherapy with PCV or temozolomide seems to be a reasonable option at tumor recurrence.

The frequency and cause of anxiety and depression amongst patients with malignant brain tumours between surgery and radiotherapy

INTRODUCTION

Between surgery and radiotherapy patients with a malignant glioma may encounter a number of psychosocial issues that could invoke an anxious or depressive response. This study explored the frequency, severity and cause of anxiety and depression in patients with presumed malignant brain tumours in the period between their surgery and radiotherapy.

METHODS

A prospective study of 51 patients used mixed methods to measure anxiety and depression at three time points; post surgery, three weeks post surgery and pre radiotherapy. Analysis was undertaken using statistical and content analysis of the Hospital Anxiety and Depression (HAD) scores and unstructured interviews respectively.

RESULTS

Analysis of HAD scores indicated a heightened level of anxiety in patients pre radiotherapy. This anxiety is more prevalent in younger patients and is not related to the patients change in functional state. Five patients had a significant depression at one or more time points between surgery and radiotherapy. Four of the five patients who reported scores consistent with depression had past histories of depression. Content analysis of unstructured interviews indicated that the HAD scores underestimated the presence of anxiety and depression amongst this group of patients.

CONCLUSION

Anxiety was more common in younger patients. Anxiety was slightly more frequent pre-radiotherapy. A past medical history of depression is a predictor of significant depression in the post-operative period. The HAD scale although useful is not an adequate measurement tool for detecting anxiety and depression amongst all patients and health care professionals should adopt other means to monitor for these signs and symptoms.

Malignant Supratentorial Astrocytoma Treated with Postoperative Radiation Therapy: Prognostic Value of Pretreatment Quantitative Diffusion-weighted MR Imaging

PURPOSE

To retrospectively evaluate whether the minimum apparent diffusion coefficient (ADC) of the tumor seen on pretreatment magnetic resonance (MR) images is of prognostic value in patients with malignant supratentorial astrocytoma.

MATERIALS AND METHODS

The study was approved by the institutional review board; the requirement for informed patient consent was waived. Between June 1996 and November 2003, 79 patients (44 male, 35 female; age range, 16-76 years) with malignant supratentorial astrocytoma underwent pretreatment MR imaging. Patient age, symptom duration, neurologic function, mental status, Karnofsky performance scale (KPS) score, extent of surgery, histopathologic diagnosis, tumor component enhancement, and minimum ADC were assessed at factor analysis of survival. Radiation Therapy Oncology Group-recursive partitioning analysis (RTOG-RPA) criteria were used to validate the prognostic value of the minimum ADC. Kaplan-Meier survival curves, the log-rank test, and the multivariate Cox proportional hazards model were used to evaluate the prognostic factors.

RESULTS

Twenty-nine patients had anaplastic astrocytoma, and 50 had glioblastoma multiforme. The minimum ADC was significantly lower in patients with glioblastoma multiforme than in those with anaplastic astrocytoma (P < .001). The two-year survival rates associated with low (<or=1.0 x 10(-3) mm(2)/sec) and high (>1.0 x 10(-3) mm(2)/sec) minimum ADCs were 14% (six of 42 patients) and 84% (31 of 37 patients), respectively (P < .001). The minimum ADC was the most important prognostic factor (hazard ratio = 10.459; 95% confidence interval: 5.113, 21.396) and could be used to assign patients to different prognostic groups in each RTOG-RPA class.

CONCLUSION

The minimum ADC at pretreatment MR imaging is a useful clinical prognostic biomarker for survival in patients with malignant supratentorial astrocytoma.

Using the theory of planned behavior to understand the determinants of exercise intention in patients diagnosed with primary brain cancer

The purpose of the present study was to examine the demographic, medical, and social cognitive determinants of exercise intentions in a institution-based cohort of primary brain tumor patients. Using a cross-sectional survey, 100 primary brain tumor patients completed a mailed survey that assessed medical and demographic characteristics, past exercise behavior using the Godin Leisure Time Exercise Questionnaire (GLTEQ), and social cognitive beliefs towards exercise using Aizen's theory of planned behavior (TPB; i.e. intention, perceived behavioral control, subjective norm, affective and instrumental attitude). Descriptive statistics indicated that participants had positive social cognitive beliefs towards exercise. In support of the tenets of the TPB, we found moderate to large (>0.40) positive correlations between the majority of TPB constructs. Moreover, the TPB constructs combined to explain 32% of the variance in exercise intentions with affective attitude (beta = 0.24; p = 0.020) and perceived behavioral control (beta = 0.36; p<0.001) being the most important determinants. Except past exercise behavior, medical and demographic variables were not consistently correlated with any TPB constructs. Finally, participant's gender and body mass index influenced the association between instrumental attitude and exercise intention with male and overweight/obese patients (> or =25 kg/m(2)) considering the health benefits of exercise to be more important than their female and normal weight (<25 kg/m(2)) counterparts. Information gained from this study suggests that the TPB is a useful framework to design and implement theoretically based interventions to promote exercise in primary brain cancer patients.

Apoptosis in human glioblastoma cells produced using embryonic stem cell–derived astrocytes expressing tumor necrosis factor–related apoptosis-inducing ligand

Object

Embryonic stem (ES) cell–derived astrocytes have several theoretical and practical advantages as gene therapy vectors in the treatment of malignant gliomas. The aim of this study was to test the proapoptotic effects of ES cell–derived astrocytes expressing transgenic tumor necrosis factor–related apoptosis-inducing ligand (TRAIL) in human malignant glioma cells.

Methods

Mouse ES cells containing a doxycycline-inducible transgene were engineered with human TRAIL (hTRAIL) and then directed to differentiate into astrocytes. The ES cell-derived–TRAIL-expressing astrocytes were cocultured with human malignant glioma cells. Reverse transcriptase polymerase chain reaction, immunocytochemistry, terminal deoxynucleotidyl transferase–mediated deoxyuridine triphosphate nick-end labeling, and flow cytometry were used to quantify results.

In vitro coculture of ES cell–derived astrocytes expressing hTRAIL with A172 human malignant glioma cells after doxycycline induction caused a significant decrease in cell viability from 85 ± 2% at baseline to 8 ± 2% posttreatment (p < 0.001). Labeling with apoptotic markers showed that cell death occurred by means of apoptosis. A significant increase in apoptotic rate (88 ± 3%) from baseline (4 ± 2%) was found in A172 cells after doxycycline induction (p < 0.005). This effect was superior to the apoptotic rate seen after treatment with recombinant TRAIL (57 ± 2%). A decrease in cell viability and an increase in the apoptotic rate were not found in TRAIL-expressing–ES cell-derived astrocytes after induction with doxycycline or in A172 cells exposed to doxycycline alone.

Conclusions

Engineering of transgenic hTRAIL by using ES cell–derived astrocytes induced apoptosis in human malignant glioma cells while sparing nontumor astrocytes. The apoptotic effects of transgenic hTRAIL are greater than those of recombinant hTRAIL. Analysis of these results suggests that hTRAIL-expressing–ES cell-derived astrocytes should be considered in the development of new in vivo strategies to treat malignant human gliomas.

Patterns of exercise across the cancer trajectory in brain tumor patients

BACKGROUND

Exercise may represent a supportive intervention that may complement existing neurooncologic therapies and address a multitude of therapy-induced debilitating side effects in patients with brain tumors. Given the limited evidence, the authors conducted a survey to examine the exercise patterns of brain tumor patients across the cancer trajectory.

METHODS

Using a cross-sectional design, 386 brain tumor patients who received treatment at the Brain Tumor Center at Duke University were sent a questionnaire that assessed self-reported exercise behavior prior to diagnosis, during adjuvant therapy, and after the completion of therapy.

RESULTS

The response rate was 28% (106 of 383 patients). Descriptive analyses indicated that 42%, 38%, and 41% of participants, respectively, met national exercise prescription guidelines prior to diagnosis, during treatment, and after the completion of adjuvant therapy. Repeated measures analyses indicated no significant changes in the majority of exercise behavior outcomes over the cancer trajectory. However, exploratory analyses indicated that males and younger participants may be at the greatest risk of reducing exercise levels after a brain tumor diagnosis. These analyses remained unchanged after controlling for relevant demographic and medical covariates.

CONCLUSIONS

A relatively high percentage of brain tumor patients are exercising at recommended levels across the cancer trajectory. Moreover, these patients have unique exercise patterns that may be modified by select demographic variables. This preliminary study provides important informative data for future studies examining the potential role of exercise in patients diagnosed with neurologic malignancies.

Convection-enhanced delivery of Ls-TPT enables an effective, continuous, low-dose chemotherapy against malignant glioma xenograft model

Treatment of malignant gliomas represents one of the most formidable challenges in oncology. The combination of surgery, radiation, and chemotherapy yields median survivals of less than one year. Here we demonstrate the use of a minimally invasive surgical technique, convection-enhanced delivery (CED), for local administration of a novel nanoparticle liposome containing topotecan. CED of this liposomal topotecan (Ls-TPT) resulted in extended brain tissue retention (t1/2 = 1.5 days), whereas free topotecan was rapidly cleared (t1/2 = 0.1 days) after CED. The favorable pharmacokinetic profile of extended topotecan release for about seven days, along with biodistribution featuring perivascular accumulation of the nanoparticles, provided, in addition to the known topoisomerase I inhibition, an effective antiangiogenic therapy. In the rat intracranial U87MG tumor model, vascular targeting of Ls-TPT with CED was associated with reductions in laminin expression and vascular density compared to free topotecan or control treatments. A single CED treatment on day 7 showed that free topotecan conferred no survival benefit versus control. However, Ls-TPT produced a significant (P = 0.0002) survival benefit, with six of seven complete cures. Larger U87MG tumors, where CED of Ls-TPT on day 12 resulted in one of six cures, indicated the necessity to cover the entire tumor with the infused therapeutic agent. CED of Ls-TPT was also efficacious in the intracranial U251MG tumor model (P = 0.0005 versus control). We conclude that the combination of a novel nanoparticle Ls-TPT and CED administration was very effective in treating experimental brain tumors.