New prognostic factors and calculators for outcome prediction in patients with recurrent glioblastoma: A pooled analysis of EORTC Brain Tumour Group phase I and II clinical trials.

BACKGROUND: Prognostic models have been developed to predict survival of patients with newly diagnosed glioblastoma (GBM). To improve predictions, models should be updated with information at the recurrence. We performed a pooled analysis of European Organization for Research and Treatment of Cancer (EORTC) trials on recurrent glioblastoma to validate existing clinical prognostic factors, identify new markers, and derive new predictions for overall survival (OS) and progression free survival (PFS).¦METHODS: Data from 300 patients with recurrent GBM recruited in eight phase I or II trials conducted by the EORTC Brain Tumour Group were used to evaluate patient's age, sex, World Health Organisation (WHO) performance status (PS), presence of neurological deficits, disease history, use of steroids or anti-epileptics and disease characteristics to predict PFS and OS. Prognostic calculators were developed in patients initially treated by chemoradiation with temozolomide.¦RESULTS: Poor PS and more than one target lesion had a significant negative prognostic impact for both PFS and OS. Patients with large tumours measured by the maximum diameter of the largest lesion (⩾42mm) and treated with steroids at baseline had shorter OS. Tumours with predominant frontal location had better survival. Age and sex did not show independent prognostic values for PFS or OS.¦CONCLUSIONS: This analysis confirms performance status but not age as a major prognostic factor for PFS and OS in recurrent GBM. Patients with multiple and large lesions have an increased risk of death. With these data prognostic calculators with confidence intervals for both medians and fixed time probabilities of survival were derived.

Brain multimodality monitoring: an update.

PURPOSE OF REVIEW: An important goal of neurocritical care is the management of secondary brain injury (SBI), that is pathological events occurring after primary insult that add further burden to outcome. Brain oedema, cerebral ischemia, energy dysfunction, seizures and systemic insults are the main components of SBI. We here review recent data showing the clinical utility of brain multimodality monitoring (BMM) for the management of SBI. RECENT FINDINGS: Despite being recommended by international guidelines, standard intracranial pressure (ICP) monitoring may be insufficient to detect all episodes of SBI. ICP monitoring, combined with brain oxygen (PbtO(2)), cerebral microdialysis and regional cerebral blood flow, might help to target therapy (e.g. management of cerebral perfusion pressure, blood transfusion, glucose control) to patient-specific pathophysiology. Physiological parameters derived from BMM, including PbtO(2) and microdialysis lactate/pyruvate ratio, correlate with outcome and have recently been incorporated into neurocritical care guidelines. Advanced intracranial devices can be complemented by quantitative electroencephalography to monitor changes of brain function and nonconvulsive seizures. SUMMARY: BMM offers an on-line comprehensive scrutiny of the injured brain and is increasingly used for the management of SBI. Integration of monitored data using new informatics tools may help optimize therapy of brain-injured patients and quality of care.

Decision making: singin' in the brain.

Which neurons in the brain "decide" to initiate particular behaviors in response to sensory information? In this issue of Neuron, two papers (Kohatsu et al. and von Philipsborn et al.) identify candidates in the courtship circuitry of Drosophila. The activity of these neurons is both regulated by sex pheromones and necessary and sufficient to trigger male love song.

Hyperammonemia: regulation of argininosuccinate synthetase and argininosuccinate lyase genes in aggregating cell cultures of fetal rat brain.

Hyperammonemia in the brain leads to poorly understood alterations of nitric oxide (NO) synthesis. Arginine, the substrate of nitric oxide synthases, might be recycled from the citrulline produced with NO by argininosuccinate synthetase (AS) and argininosuccinate lyase (AL). The regulation of AS and AL genes during hyperammonemia is unknown in the brain. We used brain cell aggregates cultured from dissociated telencephalic cortex of rat embryos to analyze the regulation of AS and AL genes in hyperammonemia. Using RNase protection assay and non-radioactive in situ hybridization on aggregate cryosections, we show that both AS and AL genes are induced in astrocytes but not in neurons of aggregates exposed to 5 mM NH4Cl. Our work suggests that the hyperammonemic brain might increase its recycling of citrulline to arginine.

Pregabalin in patients with primary brain tumors and seizures: a preliminary observation.

OBJECTIVES: Patients with brain tumors and seizures should be treated with non-enzyme-inducing antiepileptic drugs (AED). Some of the newer drugs seem particularly suited in these patients. METHODS: Here we describe our experience with pregabalin (PGB); its effectiveness was retrospectively studied in nine consecutive patients with primary brain tumors and seizures. RESULTS: Six subjects had secondarily generalized and three simple partial seizures. Patients mostly suffered from WHO grade IV gliomas. PGB replaced enzyme inducing, inefficacious or bad tolerated AED, as add-on or monotherapy. Median follow-up was 5 (2-19) months; three patients died of their tumor. Daily median dosage was 300 mg. All subjects experienced at least a 50% seizure reduction, six were seizure-free. Side effects were reported in four patients, leading to PGB discontinuation in two. CONCLUSION: PGB appears to have a promising effectiveness in this setting, even as a monotherapy. Based on these results we embarked on a prospective controlled trial.

MRS glucose mapping and PET joining forces: re-evaluation of the lumped constant in the rat brain under isoflurane anaesthesia.

Although numerous positron emission tomography (PET) studies with (18) F-fluoro-deoxyglucose (FDG) have reported quantitative results on cerebral glucose kinetics and consumption, there is a large variation between the absolute values found in the literature. One of the underlying causes is the inconsistent use of the lumped constants (LCs), the derivation of which is often based on multiple assumptions that render absolute numbers imprecise and errors hard to quantify. We combined a kinetic FDG-PET study with magnetic resonance spectroscopic imaging (MRSI) of glucose dynamics in Sprague-Dawley rats to obtain a more comprehensive view of brain glucose kinetics and determine a reliable value for the LC under isoflurane anaesthesia. Maps of Tmax /CMRglc derived from MRSI data and Tmax determined from PET kinetic modelling allowed to obtain an LC-independent CMRglc . The LC was estimated to range from 0.33 ± 0.07 in retrosplenial cortex to 0.44 ± 0.05 in hippocampus, yielding CMRglc between 62 ± 14 and 54 ± 11 μmol/min/100 g, respectively. These newly determined LCs for four distinct areas in the rat brain under isoflurane anaesthesia provide means of comparing the growing amount of FDG-PET data available from translational studies.

Ophthalmic features of PLA2G6-related paediatric neurodegeneration with brain iron accumulation.

BACKGROUND: Neurodegeneration with brain iron accumulation (NBIA) refers to genetically heterogenous paediatric neurodegenerative disorders characterised by basal ganglia iron deposition. One major cause is recessive mutations in the PLA2G6 gene. While strabismus and optic nerve pallor have been reported for PLA2G6-related disease, the ophthalmic phenotype is not carefully defined. In this study we characterise the ophthalmic phenotype of PLA2G6-related NBIA. METHODS: Prospective cohort study. RESULTS: The eight patients were 4-26 years old when examined. All had progressive cognitive and motor regression first noted between 9 months and 6 years of age that typically first manifested as difficulty walking (ataxia). Ophthalmic examination was sometimes limited by cognitive ability. Four of eight had exotropia, 7/7 bilateral supraduction defect, 5/7 poor convergence, 6/8 saccadic pursuit, 4/8 saccadic intrusions that resembled square-wave jerks, and 8/8 bilateral optic nerve head pallor. All patients lacked Bell phenomenon. CONCLUSIONS: Upgaze palsy, although not a previously reported finding, was confirmed in all patients (except in one for whom assessment could not be performed) and thus can be considered part of the phenotype in children and young adults. Other frequent findings not previously highlighted were abnormal convergence, saccadic pursuit, and saccadic intrusions. Optic nerve head pallor and strabismus, previously reported findings in the disease, were found in 100% and 50% of our cohort, respectively, and the strabismus in our series was always exotropia. Taken together, these clinical findings may be helpful in distinguishing PLA2G6-related neurodegeneration from the other major cause of NBIA, recessive PANK2 mutations.

Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images.

This paper presents a validation study on statistical nonsupervised brain tissue classification techniques in magnetic resonance (MR) images. Several image models assuming different hypotheses regarding the intensity distribution model, the spatial model and the number of classes are assessed. The methods are tested on simulated data for which the classification ground truth is known. Different noise and intensity nonuniformities are added to simulate real imaging conditions. No enhancement of the image quality is considered either before or during the classification process. This way, the accuracy of the methods and their robustness against image artifacts are tested. Classification is also performed on real data where a quantitative validation compares the methods' results with an estimated ground truth from manual segmentations by experts. Validity of the various classification methods in the labeling of the image as well as in the tissue volume is estimated with different local and global measures. Results demonstrate that methods relying on both intensity and spatial information are more robust to noise and field inhomogeneities. We also demonstrate that partial volume is not perfectly modeled, even though methods that account for mixture classes outperform methods that only consider pure Gaussian classes. Finally, we show that simulated data results can also be extended to real data.

Delta-9-tetrahydrocannabinol (THC) protects partly against demyelination by modulating the inflammatory response: an in vitro study in aggregating brain cell cultures

Delta 9-tetrahydrocannabinol (THC) has been proposed as therapeutic agent in the treatment of multiple sclerosis. In the present study, we examined whether a modulation of brain inflammatory by THC may protect against demyelination. Myelinating aggregating brain cell cultures were subjected to demyelination by a repeated treatment (3x) with the two inflammatory agents interferon-y (IFN-y) and lipopolysaccharide (LPS). The effects of THC on an acute inflammatory reponse were also examined by treating the aggregates with a single application of the two inflammatory agents. THC effects on the demyelinating process and on several mediators of the inflammatory reponse were analyzed. THC treatment partially prevented the decreased immunoreactivity for MBP, and the decrease in MBP content measured by immunoblotting. It prevented IFN-y + LPS -induced microglial reactivity; and decreased the IFN-y + LPS-induced i8ncreased phosphorylation of p44/42 MAP kinase. The other inflammatory markers, I-NOS and TNF-a mRNA expression, and p38 MAP kinase phosphorylation of p44/42 MAP kinase. The other inflammatory markers, I-NOS and TNF-a mRNA expression, and p38 MAP kinase phosphorylation were downregulated by THC treatment following a single application of the inflammatory agents, but not after repeated applications. THC protected partially against the IFN-y + LPS-induced demyelination. The protective effect of THC on IFN-y + LPS-induced demyelination may be due to a decrease of the inflammatory reponse. However, the anti-inflammatory effect of THC on some inflammatory markers is lost when the inflammatory response is more proeminent and of longer duration, suggesting either that the anti-inflammatory effect of a molecule may depend on the properties of the inflammatory response, or that the anti-inflammatory potential of THC decreases in case of repeated exposure.

Type of alcoholic beverage and risk of head and neck cancer: a pooled analysis within the INHANCE Consortium

The authors pooled data from 15 case-control studies of head and neck cancer (9,107 cases, 14,219 controls) to investigate the independent associations with consumption of beer, wine, and liquor. In particular, they calculated associations with different measures of beverage consumption separately for subjects who drank beer only (858 cases, 986 controls), for liquor-only drinkers (499 cases, 527 controls), and for wine-only drinkers (1,021 cases, 2,460 controls), with alcohol never drinkers (1,124 cases, 3,487 controls) used as a common reference group. The authors observed similar associations with ethanol-standardized consumption frequency for beer-only drinkers (odds ratios (ORs) = 1.6, 1.9, 2.2, and 5.4 for < or =5, 6-15, 16-30, and >30 drinks per week, respectively; P(trend) < 0.0001) and liquor-only drinkers (ORs = 1.6, 1.5, 2.3, and 3.6; P < 0.0001). Among wine-only drinkers, the odds ratios for moderate levels of consumption frequency approached the null, whereas those for higher consumption levels were comparable to those of drinkers of other beverage types (ORs = 1.1, 1.2, 1.9, and 6.3; P < 0.0001). Study findings suggest that the relative risks of head and neck cancer for beer and liquor are comparable. The authors observed weaker associations with moderate wine consumption, although they cannot rule out confounding from diet and other lifestyle factors as an explanation for this finding. Given the presence of heterogeneity in study-specific results, their findings should be interpreted with caution.

Brain dysfunctions, psychopathologies, and body image distortions

The major features in eating disorders are a preoccupation with food and its consumption and body dissatisfaction. Diagnostic manuals provide clusters of criteria according to which affected individuals can be categorized into one or other group of eating disorder. Yet, when considering the high proportion of comorbidities and ignoring the content of the symptoms (food, body), the major features seem to yield obsessional-compulsive, addictive, and impulsive qualities. In the present article, we review studies from the neuroscientific literature (mainly lesion studies) on eating disorder, obsessive-compulsive disorder, impulse control disorder, and addiction to investigate the possibility of a wider phenotype that can be related to a common brain network. The literature localizes this network to the right frontal lobe and its connectivities. This network, when dysfunctional, might result in a behavior that favors the preoccupation with particular thoughts, behaviors, anxieties, and uncontrollable urges that are accompanied by little scope for ongoing behavioral adjustments (e.g., impulse control). We reason that this network may turn out to be equally involved in understudied mental conditions of dysfunctional body processing such as muscle dysmorphia, body dysmorphic disorder (including esthetic surgery), and xelomelia. We finally consider previous notions of a wider phenotype approach to current diagnostic practice (using DSM), such as the possibility of a model with a reduced number of diagnostic categories and primary and secondary factors, and to etiological models of mental health conditions.