Cell lines and animal model in the analysis of pharmacogenomics markers in childhood acute lymphoblastic leukemia

La leucémie aiguë lymphoblastique (LAL) est le cancer pédiatrique le plus fréquent. Elle est la cause principale de mortalité liée au cancer chez les enfants due à un groupe de patient ne répondant pas au traitement. Les patients peuvent aussi souffrir de plusieurs toxicités associées à un traitement intensif de chimiothérapie. Les études en pharmacogénétique de notre groupe ont montré une corrélation tant individuelle que combinée entre les variants génétiques particuliers d’enzymes dépendantes du folate, particulièrement la dihydrofolate réductase (DHFR) ainsi que la thymidylate synthase (TS), principales cibles du méthotrexate (MTX) et le risque élevé de rechute chez les patients atteints de la LAL. En outre, des variations dans le gène ATF5 impliqué dans la régulation de l’asparagine synthetase (ASNS) sont associées à un risque plus élevé de rechute ou à une toxicité ASNase dépendante chez les patients ayant reçu de l’asparaginase d’E.coli (ASNase). Le but principal de mon projet de thèse est de comprendre davantage d’un point de vue fonctionnel, le rôle de variations génétiques dans la réponse thérapeutique chez les patients atteints de la LAL, en se concentrant sur deux composants majeurs du traitement de la LAL soit le MTX ainsi que l’ASNase. Mon objectif spécifique était d’analyser une association trouvée dans des paramètres cliniques par le biais d’essais de prolifération cellulaire de lignées cellulaires lymphoblastoïdes (LCLs, n=93) et d’un modèle murin de xénogreffe de la LAL. Une variation génétique dans le polymorphisme TS (homozygosité de l’allèle de la répétition triple 3R) ainsi que l’haplotype *1b de DHFR (défini par une combinaison particulière d’allèle dérivé de six sites polymorphiques dans le promoteur majeur et mineur de DHFR) et de leurs effets sur la sensibilité au MTX ont été évalués par le biais d’essais de prolifération cellulaire. Des essais in vitro similaires sur la réponse à l’ASNase de E. Coli ont permis d’évaluer l’effet de la variation T1562C de la région 5’UTR de ATF5 ainsi que des haplotypes particuliers du gène ASNS (définis par deux variations génétiques et arbitrairement appelés haplotype *1). Le modèle murin de xénogreffe ont été utilisé pour évaluer l’effet du génotype 3R3R du gène TS. L’analyse de polymorphismes additionnels dans le gène ASNS a révélé une diversification de l’haplotype *1 en 5 sous-types définis par deux polymorphismes (rs10486009 et rs6971012,) et corrélé avec la sensibilité in vitro à l’ASNase et l’un d’eux (rs10486009) semble particulièrement important dans la réduction de la sensibilité in vitro à l’ASNase, pouvant expliquer une sensibilité réduite de l’haplotype *1 dans des paramètres cliniques. Aucune association entre ATF5 T1562C et des essais de prolifération cellulaire en réponse à ASNase de E.Coli n’a été détectée. Nous n’avons pas détecté une association liée au génotype lors d’analyse in vitro de sensibilité au MTX. Par contre, des résultats in vivo issus de modèle murin de xénogreffe ont montré une relation entre le génotype TS 3R/3R et la résistance de manière dose-dépendante au traitement par MTX. Les résultats obtenus ont permis de fournir une explication concernant un haut risque significatif de rechute rencontré chez les patients au génotype TS 3R/3R et suggèrent que ces patients pourraient recevoir une augmentation de leur dose de MTX. À travers ces expériences, nous avons aussi démontré que les modèles murins de xénogreffe peuvent servir comme outil préclinique afin d’explorer l’option d’un traitement individualisé. En conclusion, la connaissance acquise à travers mon projet de thèse a permis de confirmer et/ou d’identifier quelques variants dans la voix d’action du MTX et de l’ASNase qui pourraient faciliter la mise en place de stratégies d’individualisation de la dose, permettant la sélection d’un traitement optimum ou moduler la thérapie basé sur la génétique individuelle.

Automatic spiral analysis for objective assessment of motor symptoms in Parkinson's disease

Objective: To develop a method for objective quantification of PD motor symptoms related to Off episodes and peak dose dyskinesias, using spiral data gathered by using a touch screen telemetry device. The aim was to objectively characterize predominant motor phenotypes (bradykinesia and dyskinesia), to help in automating the process of visual interpretation of movement anomalies in spirals as rated by movement disorder specialists. Background: A retrospective analysis was conducted on recordings from 65 patients with advanced idiopathic PD from nine different clinics in Sweden, recruited from January 2006 until August 2010. In addition to the patient group, 10 healthy elderly subjects were recruited. Upper limb movement data were collected using a touch screen telemetry device from home environments of the subjects. Measurements with the device were performed four times per day during week-long test periods. On each test occasion, the subjects were asked to trace pre-drawn Archimedean spirals, using the dominant hand. The pre-drawn spiral was shown on the screen of the device. The spiral test was repeated three times per test occasion and they were instructed to complete it within 10 seconds. The device had a sampling rate of 10Hz and measured both position and time-stamps (in milliseconds) of the pen tip. Methods: Four independent raters (FB, DH, AJ and DN) used a web interface that animated the spiral drawings and allowed them to observe different kinematic features during the drawing process and to rate task performance. Initially, a number of kinematic features were assessed including ‘impairment’, ‘speed’, ‘irregularity’ and ‘hesitation’ followed by marking the predominant motor phenotype on a 3-category scale: tremor, bradykinesia and/or choreatic dyskinesia. There were only 2 test occasions for which all the four raters either classified them as tremor or could not identify the motor phenotype. Therefore, the two main motor phenotype categories were bradykinesia and dyskinesia. ‘Impairment’ was rated on a scale from 0 (no impairment) to 10 (extremely severe) whereas ‘speed’, ‘irregularity’ and ‘hesitation’ were rated on a scale from 0 (normal) to 4 (extremely severe). The proposed data-driven method consisted of the following steps. Initially, 28 spatiotemporal features were extracted from the time series signals before being presented to a Multilayer Perceptron (MLP) classifier. The features were based on different kinematic quantities of spirals including radius, angle, speed and velocity with the aim of measuring the severity of involuntary symptoms and discriminate between PD-specific (bradykinesia) and/or treatment-induced symptoms (dyskinesia). A Principal Component Analysis was applied on the features to reduce their dimensions where 4 relevant principal components (PCs) were retained and used as inputs to the MLP classifier. Finally, the MLP classifier mapped these components to the corresponding visually assessed motor phenotype scores for automating the process of scoring the bradykinesia and dyskinesia in PD patients whilst they draw spirals using the touch screen device. For motor phenotype (bradykinesia vs. dyskinesia) classification, the stratified 10-fold cross validation technique was employed. Results: There were good agreements between the four raters when rating the individual kinematic features with intra-class correlation coefficient (ICC) of 0.88 for ‘impairment’, 0.74 for ‘speed’, 0.70 for ‘irregularity’, and moderate agreements when rating ‘hesitation’ with an ICC of 0.49. When assessing the two main motor phenotype categories (bradykinesia or dyskinesia) in animated spirals the agreements between the four raters ranged from fair to moderate. There were good correlations between mean ratings of the four raters on individual kinematic features and computed scores. The MLP classifier classified the motor phenotype that is bradykinesia or dyskinesia with an accuracy of 85% in relation to visual classifications of the four movement disorder specialists. The test-retest reliability of the four PCs across the three spiral test trials was good with Cronbach’s Alpha coefficients of 0.80, 0.82, 0.54 and 0.49, respectively. These results indicate that the computed scores are stable and consistent over time. Significant differences were found between the two groups (patients and healthy elderly subjects) in all the PCs, except for the PC3. Conclusions: The proposed method automatically assessed the severity of unwanted symptoms and could reasonably well discriminate between PD-specific and/or treatment-induced motor symptoms, in relation to visual assessments of movement disorder specialists. The objective assessments could provide a time-effect summary score that could be useful for improving decision-making during symptom evaluation of individualized treatment when the goal is to maximize functional On time for patients while minimizing their Off episodes and troublesome dyskinesias.

Efeitos da automonitoração sobre o comportamento de adesão a dois tipos de regras nutricionais em adultos com diabetes tipo 2

O diabetes mellitus é uma doença crônica de etiologia múltipla, cujo tratamento inclui mudanças no estilo de vida, onde a adoção de hábitos alimentares saudáveis é de suma importância para o controle da doença. No entanto, a adesão ao plano alimentar é um dos aspectos de maior desafio para o tratamento desta patologia. Esta pesquisa teve como objetivo comparar a eficácia do uso de procedimentos de automonitoração sobre o comportamento de adesão a dois tipos de regras nutricionais (Plano Alimentar – PA e Contagem Total de Carboidratos - CTC) em adultos com diabetes Tipo 2. Participaram quatro adultos inscritos no Programa HiperDia de uma Unidade Municipal de Saúde, na cidade de Belém, apresentando dificuldades de adesão à dieta. A coleta de dados aconteceu no laboratório de Patologia da Nutrição e em ambiente domiciliar dos participantes. O procedimento constou de: (1) Composição da amostra e entrevista para confirmação dos critérios de inclusão; (2) Caracterização da linha de base (LB) do comportamento alimentar; (3) Intervenção: Treino de Automonitoração (AM) com PA para dois participantes da Condição A (CTa) e com CTC para dois participantes da Condição B (CTb); (4) Reversão das condições de Treino; (5) Follow-up e (6) Entrevista Final. O Treino em AM incluiu a verificação da correspondência entre o registro do comportamento alimentar e as regras nutricionais; a análise dos custos e benefícios da emissão dos comportamentos de seguimento das regras estabelecidas; análises funcionais da emissão ou não do comportamento de seguir as regras e o planejamento das ações de adesão. O participante foi solicitado a registrar todas as refeições realizadas em intervalos de dois em dois dias a cada visita domiciliar da pesquisadora. Calculou-se o Índice de Adesão à Dieta (IAD) por dia de registro. Nos resultados, observou-se que, na linha de base os IADs de todos os participantes estavam abaixo de 50%. No entanto, após o Treino em AM, a média dos IADs obtidos pelos participantes quando submetidos ao PA foi igual a 62,49%, enquanto a obtida em CTC foi de 75,50%. Os valores absolutos dos IADs encontrados nos participantes da CTa foram maiores do que os IADs dos participantes da CTb. Todos os participantes, independente da condição, apresentaram aumento nos IADs ao serem comparados com a LB, com declínio após a suspensão da AM. Ao término da AM, dois participantes escolheram PA e dois a CTC para seguir o tratamento; entretanto, observou-se que todos mantiveram o seguimento do PA no follow-up. Inferiu-se que a CTC parece ser mais eficaz em instalar comportamentos alimentares adequados e o PA parece obter bons resultados na manutenção dos comportamentos instalados. Todos os participantes se encontravam com excesso de peso na LB, dois participantes reduziram o peso após a intervenção, mas todos mantiveram o diagnóstico nutricional da LB. Quanto à hemoglobina glicada, todos os participantes apresentavam valores acima de 6% durante a LB e, após a intervenção, três participantes reduziram esse valor. Discute-se a importância de nutricionistas auxiliarem o paciente a ficar sob o controle das mudanças observadas em seu repertório por meio da análise de contingências, prescrevendo um tratamento individualizado e para além do foco na doença.

Cultivo de milho verde em sucessão ao arroz no Vale do Ribeira, SP: subsídios para adoção de zonas de manejo

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Trace elements as tumor biomarkers and prognostic factors in breast cancer: a study through energy dispersive x-ray fluorescence

Background The application and better understanding of traditional and new breast tumor biomarkers and prognostic factors are increasing due to the fact that they are able to identify individuals at high risk of breast cancer, who may benefit from preventive interventions. Also, biomarkers can make possible for physicians to design an individualized treatment for each patient. Previous studies showed that trace elements (TEs) determined by X-Ray Fluorescence (XRF) techniques are found in significantly higher concentrations in neoplastic breast tissues (malignant and benign) when compared with normal tissues. The aim of this work was to evaluate the potential of TEs, determined by the use of the Energy Dispersive X-Ray Fluorescence (EDXRF) technique, as biomarkers and prognostic factors in breast cancer. Methods By using EDXRF, we determined Ca, Fe, Cu, and Zn trace elements concentrations in 106 samples of normal and breast cancer tissues. Cut-off values for each TE were determined through Receiver Operating Characteristic (ROC) analysis from the TEs distributions. These values were used to set the positive or negative expression. This expression was subsequently correlated with clinical prognostic factors through Fisher’s exact test and chi-square test. Kaplan Meier survival curves were also evaluated to assess the effect of the expression of TEs in the overall patient survival. Results Concentrations of TEs are higher in neoplastic tissues (malignant and benign) when compared with normal tissues. Results from ROC analysis showed that TEs can be considered a tumor biomarker because, after establishing a cut-off value, it was possible to classify different tissues as normal or neoplastic, as well as different types of cancer. The expression of TEs was found statistically correlated with age and menstrual status. The survival curves estimated by the Kaplan-Meier method showed that patients with positive expression for Cu presented a poor overall survival (p < 0.001). Conclusions This study suggests that TEs expression has a great potential of application as a tumor biomarker, once it was revealed to be an effective tool to distinguish different types of breast tissues and to identify the difference between malignant and benign tumors. The expressions of all TEs were found statistically correlated with well-known prognostic factors for breast cancer. The element copper also showed statistical correlation with overall survival.

THE INFLUENCE OF CHILDHOOD ABUSE ON LONGITUDINAL COURSE OF RECOVERY IN PSYCHIATRIC REHABILITATION

Background: Empirical outcome studies have identified specific symptomatic, cognitive, emotional and functional sequelae of childhood abuse in people with severe mental illness (SMI). These findings illuminate the need for an integrated understanding of biological, psychological, environmental, and developmental aspects of SMI. Purpose: The purpose of the present study includes the following: 1) to examine reliability and validity of the comprehensive child abuse rating system in a sample of individuals with SMI, 2) to examine the influence of childhood abuse severity on recovery of psychotic symptoms, neurocognition and social-cognition, and social functioning in people with SMI during 12 months of inpatient psychiatric rehabilitation, and 3) to examine moderating effects of social cognition on the relationship between severity of different types of child abuse history and social functioning. Results: In Study I (N=171), the child abuse rating system produced reliable ratings and some subtypes of child abuse history were related to poorer premorbid functioning and cognition, higher overall psychiatric symptoms, and lower social functioning. In Study II (N=161), the longitudinal factor pattern invariance of the measures of social functioning, externality, and psychiatric symptoms were confirmed across 3 time points (e.g., at admission, at 6 months, and at 12 months). In addition, significant but varied linear relationships between subtypes of child abuse and each level of assessment of functioning were identified. In Study III (N=143), the results showed that higher baseline social inference, independent of history of child physical abuse (CPA), played a protective role in improvements in social functioning. High externality appeared to be counter-therapeutic for individuals with no history of CPA but protective for individuals with a more severe history of CPA. Conclusion: The child abuse rating system appears to provide reliable and valid assessment of subtypes of child abuse history of individuals with SMI. Considering the extreme heterogeneity in both SMI and child maltreatment, the current finding sheds light on providing individualized treatment and assessment planning for individuals with SMI and a history of childhood abuse.

Trace elements as tumor biomarkers and prognostic factors in breast cancer: a study through energy dispersive x-ray fluorescence

Abstract Background The application and better understanding of traditional and new breast tumor biomarkers and prognostic factors are increasing due to the fact that they are able to identify individuals at high risk of breast cancer, who may benefit from preventive interventions. Also, biomarkers can make possible for physicians to design an individualized treatment for each patient. Previous studies showed that trace elements (TEs) determined by X-Ray Fluorescence (XRF) techniques are found in significantly higher concentrations in neoplastic breast tissues (malignant and benign) when compared with normal tissues. The aim of this work was to evaluate the potential of TEs, determined by the use of the Energy Dispersive X-Ray Fluorescence (EDXRF) technique, as biomarkers and prognostic factors in breast cancer. Methods By using EDXRF, we determined Ca, Fe, Cu, and Zn trace elements concentrations in 106 samples of normal and breast cancer tissues. Cut-off values for each TE were determined through Receiver Operating Characteristic (ROC) analysis from the TEs distributions. These values were used to set the positive or negative expression. This expression was subsequently correlated with clinical prognostic factors through Fisher’s exact test and chi-square test. Kaplan Meier survival curves were also evaluated to assess the effect of the expression of TEs in the overall patient survival. Results Concentrations of TEs are higher in neoplastic tissues (malignant and benign) when compared with normal tissues. Results from ROC analysis showed that TEs can be considered a tumor biomarker because, after establishing a cut-off value, it was possible to classify different tissues as normal or neoplastic, as well as different types of cancer. The expression of TEs was found statistically correlated with age and menstrual status. The survival curves estimated by the Kaplan-Meier method showed that patients with positive expression for Cu presented a poor overall survival (p < 0.001). Conclusions This study suggests that TEs expression has a great potential of application as a tumor biomarker, once it was revealed to be an effective tool to distinguish different types of breast tissues and to identify the difference between malignant and benign tumors. The expressions of all TEs were found statistically correlated with well-known prognostic factors for breast cancer. The element copper also showed statistical correlation with overall survival.

From nature versus nurture, via nature and nurture, to gene x environment interaction in mental disorders

It is now generally accepted that complex mental disorders are the results of interplay between genetic and environmental factors. This holds out the prospect that by studying G x E interplay we can explain individual variation in vulnerability and resilience to environmental hazards in the development of mental disorders. Furthermore studying G x E findings may give insights in neurobiological mechanisms of psychiatric disorder and so improve individualized treatment and potentially prevention. In this paper, we provide an overview of the state of field with regard to G x E in mental disorders. Strategies for G x E research are introduced. G x E findings from selected mental disorders with onset in childhood or adolescence are reviewed [such as depressive disorders, attention-deficit/hyperactivity disorder (ADHD), obesity, schizophrenia and substance use disorders]. Early seminal studies provided evidence for G x E in the pathogenesis of depression implicating 5-HTTLPR, and conduct problems implicating MAOA. Since then G x E effects have been seen across a wide range of mental disorders (e.g., ADHD, anxiety, schizophrenia, substance abuse disorder) implicating a wide range of measured genes and measured environments (e.g., pre-, peri- and postnatal influences of both a physical and a social nature). To date few of these G x E effects have been sufficiently replicated. Indeed meta-analyses have raised doubts about the robustness of even the most well studied findings. In future we need larger, sufficiently powered studies that include a detailed and sophisticated characterization of both phenotype and the environmental risk.

Coupling biomechanics to a cellular level model: An approach to patient-specific image driven multi-scale and multi-physics tumor simulation

Modeling of tumor growth has been performed according to various approaches addressing different biocomplexity levels and spatiotemporal scales. Mathematical treatments range from partial differential equation based diffusion models to rule-based cellular level simulators, aiming at both improving our quantitative understanding of the underlying biological processes and, in the mid- and long term, constructing reliable multi-scale predictive platforms to support patient-individualized treatment planning and optimization. The aim of this paper is to establish a multi-scale and multi-physics approach to tumor modeling taking into account both the cellular and the macroscopic mechanical level. Therefore, an already developed biomodel of clinical tumor growth and response to treatment is self-consistently coupled with a biomechanical model. Results are presented for the free growth case of the imageable component of an initially point-like glioblastoma multiforme tumor. The composite model leads to significant tumor shape corrections that are achieved through the utilization of environmental pressure information and the application of biomechanical principles. Using the ratio of smallest to largest moment of inertia of the tumor material to quantify the effect of our coupled approach, we have found a tumor shape correction of 20\% by coupling biomechanics to the cellular simulator as compared to a cellular simulation without preferred growth directions. We conclude that the integration of the two models provides additional morphological insight into realistic tumor growth behavior. Therefore, it might be used for the development of an advanced oncosimulator focusing on tumor types for which morphology plays an important role in surgical and/or radio-therapeutic treatment planning.

Vascular Diseases of the Spinal Cord: A Review

OPINION STATEMENT: • In acute spinal cord ischemia syndrome (ASCIS), treatment recommendations are derived from data of cerebral ischemic stroke, atherosclerotic vascular disease and acute spinal cord injury. Besides acute management, secondary prevention is of major importance. Pathologies affecting the aorta as well as underlying cerebrovascular conditions should be treated whenever possible.• ASCIS may occur after aortic surgery, less often after thoracic endovascular aortic repair (TEVAR). Protocols are proposed.• Acute spinal cord hemorrhage can be treated surgically and/or pharmacologically.• Symptomatic treatment in patients with a spinal cord lesion is of major importance. Depending on level and extension of the lesion, there is a risk for systemic and neurological complications, which may be life-threatening.• Each spinal vascular malformation is a unique lesion that needs an individualized treatment algorithm. In case of a symptomatic vascular malformation, endovascular intervention is the primary treatment option.• Spinal dural Arteriovenous fistula (AVF) may be treated endovascularly or surgically. If preoperative localization of the fistula is possible, surgery is feasible with a low complication rate. In comparison, endovascular approaches are less invasive.• Spinal AVM are rather treated endovascularly than surgically or in a stepwise multidisciplinary approach.• Symptomatic and exophytic spinal cavernous angiomas should be treated surgically. Deep spinal cavernous angiomas that are asymptomatic or only show mild symptoms can be observed.

[Approach to prostate cancer in men older than 75 years: active or passive?]

Based on the exponential aging of the population and the increasing life expectancy in industrialized western countries, prostate cancer (PCa) in elderly men is becoming a disease of increasing significance. Consensus exists that men over the age of 75 years should not be screened for PCa; however, higher age as a single parameter should not exclude men from being diagnosed with prostate cancer and treated accordingly. It is well-known that overdiagnosis and overtreatment are frequent in this age group. Competing mortality risks of men older than 75 years may supersede the risk of dying from PCa several fold. Both the treating physician and the patient himself should therefore balance the possible risks and benefits of diagnosing and treating prostate cancer concerning the impact on quality of life. This is of special importance when taking into account that the complication rates of curative treatment modalities are higher in older patients than in younger men and that hormonal treatment might have negative effects especially in older men.Age, existing comorbidities, cognitive and physical status in combination with specific tumor parameters are useful tools for an individualized treatment.Therapy should be considered for healthy, active men aged 75 years or older who present with high-risk PCa and/or with a PSA doubling time <12 months. Elderly men who are unfit or have low to intermediate risk PCa will most likely not benefit from treatment.

Extent and structure of health insurance expenditures for complementary and alternative medicine in Swiss primary care

BACKGROUND: The study is part of a nationwide evaluation of complementary and alternative medicine (CAM) in primary care in Switzerland. The goal was to evaluate the extent and structure of basic health insurance expenditures for complementary and alternative medicine in Swiss primary care. METHODS: The study was designed as a cross-sectional evaluation of Swiss primary care providers and included 262 certified CAM physicians, 151 noncertified CAM physicians and 172 conventional physicians. The study was based on data from a mailed questionnaire and on reimbursement information obtained from health insurers. It was therefore purely observational, without interference into diagnostic and therapeutic procedures applied or prescribed by physicians. Main outcome measures included average reimbursed costs per patient, structured into consultation- and medication-related costs, and referred costs. RESULTS: Total average reimbursed cost per patient did not differ between CAM physicians and conventional practitioners, but considerable differences were observed in cost structure. The proportions of reimbursed costs for consultation time were 56% for certified CAM, 41% for noncertified CAM physicians and 40% for conventional physicians; medication costs--including expenditures for prescriptions and directly dispensed drugs--respectively accounted for 35%, 18%, and 51% of costs. CONCLUSION: The results indicate no significant difference for overall treatment cost per patient between CAM and COM primary care in Switzerland. However, CAM physicians treat lower numbers of patients and a more cost-favourable patient population than conventional physicians. Differences in cost structure reflect more patient-centred and individualized treatment modalities of CAM physicians.

Stem cell-related "self-renewal" signature and high epidermal growth factor receptor expression associated with resistance to concomitant chemoradiotherapy in glioblastoma

PURPOSE: Glioblastomas are notorious for resistance to therapy, which has been attributed to DNA-repair proficiency, a multitude of deregulated molecular pathways, and, more recently, to the particular biologic behavior of tumor stem-like cells. Here, we aimed to identify molecular profiles specific for treatment resistance to the current standard of care of concomitant chemoradiotherapy with the alkylating agent temozolomide. PATIENTS AND METHODS: Gene expression profiles of 80 glioblastomas were interrogated for associations with resistance to therapy. Patients were treated within clinical trials testing the addition of concomitant and adjuvant temozolomide to radiotherapy. RESULTS: An expression signature dominated by HOX genes, which comprises Prominin-1 (CD133), emerged as a predictor for poor survival in patients treated with concomitant chemoradiotherapy (n = 42; hazard ratio = 2.69; 95% CI, 1.38 to 5.26; P = .004). This association could be validated in an independent data set. Provocatively, the HOX cluster was reminiscent of a "self-renewal" signature (P = .008; Gene Set Enrichment Analysis) recently characterized in a mouse leukemia model. The HOX signature and EGFR expression were independent prognostic factors in multivariate analysis, adjusted for the O-6-methylguanine-DNA methyltransferase (MGMT) methylation status, a known predictive factor for benefit from temozolomide, and age. Better outcome was associated with gene clusters characterizing features of tumor-host interaction including tumor vascularization and cell adhesion, and innate immune response. CONCLUSION: This study provides first clinical evidence for the implication of a "glioma stem cell" or "self-renewal" phenotype in treatment resistance of glioblastoma. Biologic mechanisms identified here to be relevant for resistance will guide future targeted therapies and respective marker development for individualized treatment and patient selection.

A rare case of a large spinal meningioma with mediastinal extension and malignant behavior classified histologically as benign

AIM To report a rare case of a spinal WHO grade I meningioma extending through intervertebral foramina C7 to D4 with an extensive mediastinal mass and infiltration of the vertebrae, and to discuss the malignant behavior of a tumor classified as benign. METHODS (Clinical Presentation, Histology, and Imaging): A 54-year-old man suffered from increasing lower back pain with gait difficulties, weakness and numbness of the lower extremities, as well as urge incontinence. CT scan of the thorax and MRI scan of the spine revealed a large prevertebral tumor, which extended to the spinal canal and caused compression of the spinal cord at the levels of C7 to D4 leading to myelopathy with hyperintense signal alteration on T2-weighted MRI images. The signal constellation (T1 with and without contrast, T2, TIR) was highly suspicious for infiltration of vertebrae C7 to D5. Somatostatin receptor SPECT/CT with (111)In-DTPA-D: -Phe-1-octreotide detected a somatostatin receptor-positive mediastinal tumor with infiltration of multiple vertebrae, dura, and intervertebral foramina C7-D4, partially with Krenning score >2. Percutaneous biopsies of the mediastinal mass led to histopathological findings of WHO grade I meningioma of meningothelial subtype. RESULTS (Therapy): C7 to D4 laminoplasty was performed, and the intraspinal, extradural part of the tumor was microsurgically removed. Postoperative stereotactic radiation therapy was done using the volumetric modulated arc therapy (VMAT) technique (RapidArc). No PRRNT with (90)Y-DOTA-TOC was done. CONCLUSIONS Due to the rare incidence and complex presentation of this disease not amenable to complete surgical resection, an individualized treatment approach should be worked out interdisciplinarily. The treatment approach should be based not only on histology but also on clinical and imaging findings. Close clinical and radiological follow-up may be mandatory even for benign tumors.

Predictive oncology: a review of multidisciplinary, multiscale in silico modeling linking phenotype, morphology and growth.

Empirical evidence and theoretical studies suggest that the phenotype, i.e., cellular- and molecular-scale dynamics, including proliferation rate and adhesiveness due to microenvironmental factors and gene expression that govern tumor growth and invasiveness, also determine gross tumor-scale morphology. It has been difficult to quantify the relative effect of these links on disease progression and prognosis using conventional clinical and experimental methods and observables. As a result, successful individualized treatment of highly malignant and invasive cancers, such as glioblastoma, via surgical resection and chemotherapy cannot be offered and outcomes are generally poor. What is needed is a deterministic, quantifiable method to enable understanding of the connections between phenotype and tumor morphology. Here, we critically assess advantages and disadvantages of recent computational modeling efforts (e.g., continuum, discrete, and cellular automata models) that have pursued this understanding. Based on this assessment, we review a multiscale, i.e., from the molecular to the gross tumor scale, mathematical and computational "first-principle" approach based on mass conservation and other physical laws, such as employed in reaction-diffusion systems. Model variables describe known characteristics of tumor behavior, and parameters and functional relationships across scales are informed from in vitro, in vivo and ex vivo biology. We review the feasibility of this methodology that, once coupled to tumor imaging and tumor biopsy or cell culture data, should enable prediction of tumor growth and therapy outcome through quantification of the relation between the underlying dynamics and morphological characteristics. In particular, morphologic stability analysis of this mathematical model reveals that tumor cell patterning at the tumor-host interface is regulated by cell proliferation, adhesion and other phenotypic characteristics: histopathology information of tumor boundary can be inputted to the mathematical model and used as a phenotype-diagnostic tool to predict collective and individual tumor cell invasion of surrounding tissue. This approach further provides a means to deterministically test effects of novel and hypothetical therapy strategies on tumor behavior.