Estimating Local Cellular Density in Glioma Using MR Imaging Data.

BACKGROUND AND PURPOSE: Increased cellular density is a hallmark of gliomas, both in the bulk of the tumor and in areas of tumor infiltration into surrounding brain. Altered cellular density causes altered imaging findings, but the degree to which cellular density can be quantitatively estimated from imaging is unknown. The purpose of this study was to discover the best MR imaging and processing techniques to make quantitative and spatially specific estimates of cellular density. MATERIALS AND METHODS: We collected stereotactic biopsies in a prospective imaging clinical trial targeting untreated patients with gliomas at our institution undergoing their first resection. The data included preoperative MR imaging with conventional anatomic, diffusion, perfusion, and permeability sequences and quantitative histopathology on biopsy samples. We then used multiple machine learning methodologies to estimate cellular density using local intensity information from the MR images and quantitative cellular density measurements at the biopsy coordinates as the criterion standard. RESULTS: The random forest methodology estimated cellular density with R 2 = 0.59 between predicted and observed values using 4 input imaging sequences chosen from our full set of imaging data (T2, fractional anisotropy, CBF, and area under the curve from permeability imaging). Limiting input to conventional MR images (T1 pre- and postcontrast, T2, and FLAIR) yielded slightly degraded performance (R2 = 0.52). Outputs were also reported as graphic maps. CONCLUSIONS: Cellular density can be estimated with moderate-to-strong correlations using MR imaging inputs. The random forest machine learning model provided the best estimates. These spatially specific estimates of cellular density will likely be useful in guiding both diagnosis and treatment.

Imaging-Based Algorithm for the Local Grading of Glioma.

BACKGROUND AND PURPOSE: Gliomas are highly heterogeneous tumors, and optimal treatment depends on identifying and locating the highest grade disease present. Imaging techniques for doing so are generally not validated against the histopathologic criterion standard. The purpose of this work was to estimate the local glioma grade using a machine learning model trained on preoperative image data and spatially specific tumor samples. The value of imaging in patients with brain tumor can be enhanced if pathologic data can be estimated from imaging input using predictive models. MATERIALS AND METHODS: Patients with gliomas were enrolled in a prospective clinical imaging trial between 2013 and 2016. MR imaging was performed with anatomic, diffusion, permeability, and perfusion sequences, followed by image-guided stereotactic biopsy before resection. An imaging description was developed for each biopsy, and multiclass machine learning models were built to predict the World Health Organization grade. Models were assessed on classification accuracy, Cohen κ, precision, and recall. RESULTS: Twenty-three patients (with 7/9/7 grade II/III/IV gliomas) had analyzable imaging-pathologic pairs, yielding 52 biopsy sites. The random forest method was the best algorithm tested. Tumor grade was predicted at 96% accuracy (κ = 0.93) using 4 inputs (T2, ADC, CBV, and transfer constant from dynamic contrast-enhanced imaging). By means of the conventional imaging only, the overall accuracy decreased (89% overall, κ = 0.79) and 43% of high-grade samples were misclassified as lower-grade disease. CONCLUSIONS: We found that local pathologic grade can be predicted with a high accuracy using clinical imaging data. Advanced imaging data improved this accuracy, adding value to conventional imaging. Confirmatory imaging trials are justified.

IGFBP2 potentiates nuclear EGFR-STAT3 signaling.

Insulin-like growth factor binding protein 2 (IGFBP2) is a pleiotropic oncogenic protein that has both extracellular and intracellular functions. Despite a clear causal role in cancer development, the tumor-promoting mechanisms of IGFBP2 are poorly understood. The contributions of intracellular IGFBP2 to tumor development and progression are also unclear. Here we present evidence that both exogenous IGFBP2 treatment and cellular IGFBP2 overexpression lead to aberrant activation of epidermal growth factor receptor (EGFR), which subsequently activates signal transducer and activator of transcription factor 3 (STAT3) signaling. Furthermore, we demonstrate that IGFBP2 augments the nuclear accumulation of EGFR to potentiate STAT3 transactivation activities, via activation of the nuclear EGFR signaling pathway. Nuclear IGFBP2 directly influences the invasive and migratory capacities of human glioblastoma cells, providing a direct link between intracellular (and particularly nuclear) IGFBP2 and cancer hallmarks. These activities are also consistent with the strong association between IGFBP2 and STAT3-activated genes derived from The Cancer Genome Atlas database for human glioma. A high level of all three proteins (IGFBP2, EGFR and STAT3) was strongly correlated with poorer survival in an independent patient data set. These results identify a novel tumor-promoting function for IGFBP2 of activating EGFR/STAT3 signaling and facilitating EGFR accumulation in the nucleus, thereby deregulating EGFR signaling by two distinct mechanisms. As targeting EGFR in glioma has been relatively unsuccessful, this study suggests that IGFBP2 may be a novel therapeutic target.

Dynamic contrast-enhanced perfusion processing for neuroradiologists: model-dependent analysis may not be necessary for determining recurrent high-grade glioma versus treatment effect.

BACKGROUND AND PURPOSE: Dynamic contrast-enhanced perfusion MR imaging has proved useful in determining whether a contrast-enhancing lesion is secondary to recurrent glial tumor or is treatment-related. In this article, we explore the best method for dynamic contrast-enhanced data analysis. MATERIALS AND METHODS: We retrospectively reviewed 24 patients who met the following conditions: 1) had at least an initial treatment of a glioma, 2) underwent a half-dose contrast agent (0.05-mmol/kg) diagnostic-quality dynamic contrast-enhanced perfusion study for an enhancing lesion, and 3) had a diagnosis by pathology within 30 days of imaging. The dynamic contrast-enhanced data were processed by using model-dependent analysis (nordicICE) using a 2-compartment model and model-independent signal intensity with time. Multiple methods of determining the vascular input function and numerous perfusion parameters were tested in comparison with a pathologic diagnosis. RESULTS: The best accuracy (88%) with good correlation compared with pathology (P = .005) was obtained by using a novel, model-independent signal-intensity measurement derived from a brief integration beginning after the initial washout and by using the vascular input function from the superior sagittal sinus for normalization. Modeled parameters, such as mean endothelial transfer constant > 0.05 minutes(-1), correlated (P = .002) but did not reach a diagnostic accuracy equivalent to the model-independent parameter. CONCLUSIONS: A novel model-independent dynamic contrast-enhanced analysis method showed diagnostic equivalency to more complex model-dependent methods. Having a brief integration after the first pass of contrast may diminish the effects of partial volume macroscopic vessels and slow progressive enhancement characteristic of necrosis. The simple modeling is technique- and observer-dependent but is less time-consuming.

Pilot trial of sunitinib therapy in patients with von Hippel-Lindau disease.

BACKGROUND: Von Hippel-Lindau (VHL) disease induces vascular neoplasms in multiple organs. We evaluated the safety and efficacy of sunitinib in VHL patients and examined the expression of candidate receptors in archived tissue. METHODS: Patients with VHL were given four cycles of 50 mg sunitinib daily for 28 days, followed by 14 days off. Primary end point was toxicity. Modified RECIST were used for efficacy assessment. We evaluated 20 archival renal cell carcinomas (RCCs) and 20 hemangioblastomas (HBs) for biomarker expression levels using laser-scanning cytometry (LSC). RESULTS: Fifteen patients were treated. Grade 3 toxicity included fatigue in five patients. Dose reductions were needed in 10 patients. Eighteen RCC and 21 HB lesions were evaluable. Six of the RCCs (33%) responded partially, versus none of the HBs (P = 0.014). LSC revealed that mean levels of phosphorylated vascular endothelial growth factor receptor-2 were lower in HB than in RCC endothelium (P = 0.003) and mean phosphorylated fibroblast growth factor receptor substrate-2 (pFRS2) levels were higher in HB (P = 0.003). CONCLUSIONS: Sunitinib treatment in VHL patients showed acceptable toxicity. Significant response was observed in RCC but not in HB. Greater expression of pFRS2 in HB tissue than in RCC raises the hypothesis that treatment with fibroblast growth factor pathway-blocking agents may benefit patients with HB.

Inhibition of gliomagenesis and attenuation of mitotic transition by MIIP.

The migration and invasion inhibitor protein (MIIP, also known as IIp45) was discovered as a negative regulator of cell migration and invasion in glioma. Our previous studies have shown that the MIIP protein was reduced or undetectable in some tissue samples obtained from patients with glioblastoma. The significance of MIIP in gliomagenesis is unknown. In this study, we report that MIIP has an important role in the inhibition of gliomagenesis and attenuation of mitotic transition. Increased MIIP expression levels inhibited colony formation and cell growth of glioma cell lines in vitro, whereas decreased expression by specific small interfering RNA for MIIP resulted in increased cell growth. Expression of MIIP in a glial-specific mouse model blocked glioma development and progression, thus showing that MIIP is an inhibitor of gliomagenesis. Furthermore, we show that MIIP attenuates mitotic transition and results in increased mitotic catastrophe. The biochemical mechanism of MIIP in this process is associated with its regulation of anaphase-promoting complex (APC/C) activity. MIIP interacts directly with Cdc20, and the interaction of MIIP with Cdc20 inhibits APC/C-mediated degradation of cyclin B1. Thus, MIIP attenuates mitotic transition and increases mitotic catastrophe, thereby inhibiting glioma development and progression.

Multifocal epithelioid glioblastoma mimicking cerebral metastasis: case report.

OBJECTIVE: Epithelioid glioblastoma is a rare morphologic subtype of glioblastoma that closely mimics metastatic carcinoma or metastatic melanoma histologically. All previous case reports of this unusual glioblastoma variant have been solitary lesions. We report here the first case to our knowledge of multifocal epithelioid glioblastoma mimicking cerebral metastasis. CLINICAL PRESENTATION: A 67-year-old man with a prior history of mycosis fungoides, a common form of cutaneous T-cell lymphoma, presented with memory loss and impaired peripheral vision. Two discrete brain lesions highly suspicious for metastases were identified by magnetic resonance imaging (MRI). INTERVENTION: The patient underwent two separate craniotomies; both lesions were successfully resected in toto with an excellent post-surgical outcome. CONCLUSION: Epithelioid glioblastoma is one of the rarest morphologic subtypes of glioblastoma. Here we describe the first case to our knowledge of multifocal epithelioid glioblastoma that convincingly mimicked a secondary metastatic process. Multifocal epithelioid glioblastoma should be included in the differential diagnosis of patients who present with multiple discrete brain lesions. An attempt at gross total resection is recommended when anatomically feasible for definitive histopathological diagnosis and to improve progression free survival of patients who present with similarly ambiguous and potentially misleading multiple lesions.

Multifocal epithelioid glioblastoma mimicking cerebral metastasis: case report

Objective. Epithelioid glioblastoma is a rare morphologicsubtype of glioblastoma that closely mimicsmetastatic carcinoma or metastatic melanoma histologically.All previous case reports of this unusualglioblastoma variant have been solitary lesions.We report here the first case to our knowledge ofmultifocal epithelioid glioblastoma mimicking cerebralmetastasis.Clinical presentation. A 67-year-old man with aprior history of mycosis fungoides, a common form ofcutaneous T-cell lymphoma, presented with memoryloss and impaired peripheral vision. Two discretebrain lesions highly suspicious for metastases wereidentified by magnetic resonance imaging (MRI).Intervention. The patient underwent two separatecraniotomies; both lesions were successfully resectedin toto with an excellent post-surgical outcome.Conclusion. Epithelioid glioblastoma is one of therarest morphologic subtypes of glioblastoma. Here wedescribe the first case to our knowledge of multifocalepithelioid glioblastoma that convincingly mimicked asecondary metastatic process. Multifocal epithelioidglioblastoma should be included in the differentialdiagnosis of patients who present with multiple discretebrain lesions. An attempt at gross total resectionis recommended when anatomically feasible fordefinitive histopathological diagnosis and to improveprogression free survival of patients who present withsimilarly ambiguous and potentially misleading multiplelesions (AU)

Objetivo. El glioblastoma epiteloide es un subtipomorfológico poco común del glioblastoma que puedeimitar al carcinoma o melanoma metastásico histológicamente.Todos los casos reportados de esta varianteinusual de glioblastoma han sido lesiones solitarias.Presentamos el primer caso de glioblastoma multifocalepiteloide imitando metástasis cerebral.Presentación clínica. Varón de 67 años con historiaprevia de micosis fungoide, una forma común de linfomacutáneo de células T, cuyos síntomas fueron pérdida dememoria y alteraciones del campo visual periférico. Doslesiones sospechosas de metástasis fueron identificadaspor resonancia magnética.Intervención. Mediante dos craneotomías independientes,ambas lesiones se resecaron in toto con buenresultado post-quirúrgico.Conclusión. El glioblastoma epiteloide es uno de lossubtipos morfológicos mas raros de glioblastoma. Losautores describen aquí el primer caso de glioblastomaepiteloide multifocal con apariencia de metástasissecundaria. Este diagnóstico debe ser incluido en eldiferencial de pacientes con lesiones multifocales. Elintento de resección total se recomienda cuando éste seaviable para obtener un diagnóstico definitivo así comopara mejorar la supervivencia libre de enfermedad enpacientes cuya presentación incluya lesiones múltiplesque puedan dirigir a un tratamiento inadecuado (AU)

Dental injury during seizures associated with juvenile myoclonic epilepsy.

BACKGROUND: Patients can sustain injuries during seizures and the pattern and type of injury (eg, tongue biting) can be a useful silent witness in the diagnosis of seizures. In addition, the seizure type potentially influences the type of injury. METHODS: Patients with dental injury were identified from the Gloucestershire Epilepsy Database (n = 1673). These patients' notes were reviewed and the following data collected: demographic data; seizure types and age of onset; injury; EEG; and MRI. RESULTS: 14 people had dental injuries: 10 incisors (seven had >1 incisor) and five other teeth. Eight had juvenile myoclonic epilepsy (JME), two other primary generalised epilepsy and four focal onset epilepsy. Compared with the rest of the database population (JME; n = 81) there was a highly significant association of dental injury with JME (p<0.0001). CONCLUSIONS: Incisor injury is rare but appears to be associated with JME in patients with epilepsy, presumably reflecting the pattern of seizure onset. This pattern of injury should prompt consideration of this diagnosis. It is hoped that recognition of this can both facilitate earlier diagnosis and help educate patients to protect their teeth.

MR imaging of papillary tumor of the pineal region.

We report the imaging features of 4 cases of patients with papillary tumor of the pineal region, a tumor newly recognized in the 2007 World Health Organization "Classification of Tumors of the Nervous System." In each case, the tumor was intrinsically hyperintense on T1-weighted images with a characteristic location in the posterior commissure or pineal region. The pathologic hallmarks of the tumor are discussed, including a possible explanation for the MR imaging characteristics in our cases.

Tumor suppressor in lung cancer-1 (TSLC1) functions as a glioma tumor suppressor.

Tumor suppressor in lung cancer-1 (TSLC1) loss is common in many human cancers, including meningioma. In this study, we demonstrate that TSLC1 protein and RNA expression is lost in 60% to 65% of high-grade gliomas, and that TSLC1 reintroduction into glioma cells results in growth suppression. Moreover, Tslc1 loss in mice results in increased astrocyte proliferation in vivo and in vitro. These data indicate that TSLC1 functions as a glioma tumor suppressor.

Cerebellar degeneration and autoimmunity to zinc-finger proteins of the cerebellum.

The serum of a patient with subacute cerebellar dysfunction was used to probe a cDNA expression library and isolate two genes: Zic1 (zinc-finger of the cerebellum) and Zic4. The patient had intrathecal synthesis of Zic antibodies, suggesting that the Zic proteins were autoantigens of the neurologic disorder. The Zic proteins are involved in cerebellar development and are reported as being preferentially expressed by medulloblastomas. It was found that the expression of Zic proteins is enriched in, but not limited to, medulloblastomas and primitive neuroectodermal tumors.

Stable transfection of urokinase-type plasminogen activator antisense construct modulates invasion of human glioblastoma cells.

The diffuse and extensive infiltration of malignant gliomas into the surrounding normal brain is believed to rely on modifications of the proteolysis of extracellular matrix components. A key molecule in regulating plasminogen-mediated extracellular proteolysis is the urokinase-type plasminogen activator (uPA). To investigate the role of uPA in the invasive process of brain tumors, we stably transfected a human glioblastoma cell line SNB19 with a vector capable of expressing an antisense transcript complementary to the 1020 bases at the 3' end of the uPA cDNA. Parental, vector-, and antisense construct-stably transfected cell lines were analyzed for uPA mRNA transcript by Northern blot analysis, for uPA enzyme activity by zymography, and for uPA protein levels by Western blotting. The levels of uPA mRNA, protein, and enzyme activities were significantly lower in antisense clones than in parental and vector controls. Radioreceptor binding studies demonstrated that uPA receptor levels remained the same in parental, vector-, and antisense-transfected cells. The antisense-transfected cells showed a markedly lower level of invasion in the Matrigel invasion assays, and their spheroids failed to invade the fetal rat brain aggregates in the coculture system. Green fluorescent protein (GFP) expressing parental and antisense transfectants was generated for detection in mouse brain tissue without any posttreatment. Intracerebral injection of antisense stable transfectants significantly reduced tumor formation compared with that in controls. Our results suggested that down-regulation of uPA expression may be a feasible approach to reducing the malignancy and invasiveness of glial tumors.