Chen, Clark C.

Abstract Background Glioblastoma is the most aggressive malignant brain tumor with poor survival due to its invasive nature driven by cell migration, with unclear linkage to transcriptomic information. The aim of this study was to develop a physics-based framework connecting to transcriptomics to predict patient-specific glioblastoma cell migration. Methods and Results We applied a physics-based motor-clutch model, a cell migration simulator (CMS), to parameterize the migration of glioblastoma cells and define physical biomarkers on a patient-by-patient basis. We reduced the 11-dimensional parameter space of the CMS into 3 principal physical parameters that govern cell migration: motor number—describing myosin II activity, clutch number—describing adhesion level, and F-actin polymerization rate. Experimentally, we found that glioblastoma patient-derived (xenograft) cell lines across mesenchymal (MES), proneural, and classical subtypes and 2 institutions (N = 13 patients) had optimal motility and traction force on stiffnesses around 9.3 kPa, with otherwise heterogeneous and uncorrelated motility, traction, and F-actin flow. By contrast, with the CMS parameterization, we found that glioblastoma cells consistently had balanced motor/clutch ratios to enable effective migration and that MES cells had higher actin polymerization rates resulting in higher motility. The CMS also predicted differential sensitivity to cytoskeletal drugs between patients. Finally, we identified 18 genes that correlated with the physical parameters, suggesting transcriptomic data alone could potentially predict the mechanics and speed of glioblastoma cell migration. Conclusions We describe a general physics-based framework for parameterizing individual glioblastoma patients and connecting to clinical transcriptomic data that can potentially be used to develop patient-specific anti-migratory therapeutic strategies.

OBJECTIVEThe subspecialization of neurosurgical practice is an ongoing trend in modern neurosurgery. However, it remains unclear whether the degree of surgeon specialization is associated with improved patient outcomes. The authors hypothesized that a trend toward increased neurosurgeon specialization was associated with improved patient morbidity and mortality rates.METHODSThe Nationwide Inpatient Sample (NIS) was used (1998–2009). Patients were included in a spinal analysis cohort for instrumented spine surgery involving the cervical spine (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM] codes 81.31–81.33, 81.01–81.03, 84.61–84.62, and 84.66) or lumbar spine (codes 81.04–81.08, 81.34–81.38, 84.64–84.65, and 84.68). A cranial analysis cohort consisted of patients receiving a parenchymal excision or lobectomy operation (codes 01.53 and 01.59). Surgeon specialization was measured using unique surgeon identifiers in the NIS and defined as the proportion of a surgeon’s total practice dedicated to cranial or spinal cases.RESULTSA total of 46,029 and 231,875 patients were identified in the cranial and spinal analysis cohorts, respectively. On multivariate analysis in the cranial analysis cohort (after controlling for overall surgeon volume, patient demographic data/comorbidities, hospital characteristics, and admitting source), each percentage-point increase in a surgeon’s cranial specialization (that is, the proportion of cranial cases) was associated with a 0.0060 reduction in the log odds of patient mortality (95% CI 0.0034–0.0086) and a 0.0042 reduction in the log odds of morbidity (95% CI 0.0032–0.0052). This resulted in a 15% difference in the predicted probability of mortality for neurosurgeons at the 75th versus the 25th percentile of cranial specialization. In the spinal analysis cohort, each percentage-point increase in a surgeon’s spinal specialization was associated with a 0.0122 reduction in the log odds of mortality (95% CI 0.0074–0.0170) and a 0.0058 reduction in the log odds of morbidity (95% CI 0.0049–0.0067). This resulted in a 26.8% difference in the predicted probability of mortality for neurosurgeons at the 75th versus the 25th percentile of spinal specialization.CONCLUSIONSFor both spinal and cranial surgery patient cohorts derived from the NIS database, increased surgeon specialization was significantly and independently associated with improved mortality and morbidity rates, even after controlling for overall case volume.

Abstract BACKGROUND Cerebrospinal fluid (CSF) leak is a well-recognized complication after surgical resection of vestibular schwannomas and is associated with a number of secondary complications, including readmission and meningitis. OBJECTIVE To identify risk factors for and timing of 30-d readmission with CSF leak. METHODS Patients who had undergone surgical resection of a vestibular schwannoma from 1995 to 2010 were identified in the California Office of Statewide Health Planning and Development database. The most common admission diagnoses were identified by International Classification of Disease, ninth Revision, diagnosis codes, and predictors of readmission with CSF leak were determined using logistic regression. RESULTS A total of 6820 patients were identified. CSF leak, though a relatively uncommon cause of admission after discharge (3.52% of all patients), was implicated in nearly half of 490 readmissions (48.98%). Significant independent predictors of readmission with CSF leak were male sex (odds ratio [OR] 1.72, 95% confidence interval [CI] 1.32-2.25), first admission at a teaching hospital (OR 3.32, 95% CI 1.06-10.39), CSF leak during first admission (OR 1.84, 95% CI 1.33-2.55), obesity during first admission (OR 2.10, 95% CI 1.20-3.66), and case volume of first admission hospital (OR of log case volume 0.82, 95% CI 0.70-0.95). Median time to readmission was 6 d from hospital discharge. CONCLUSION This study has quantified CSF leak as an important contributor to nearly half of all readmissions following vestibular schwannoma surgery. We propose that surgeons should focus on technical factors that may reduce CSF leakage and take advantage of potential screening strategies for the detection of CSF leakage prior to first admission discharge.

It is well established that traumatic brain injury (TBI) is associated with the development of psychiatric disorders. However, the impact of psychiatric disorders on TBI outcome is less well understood. We examined the outcomes of patients who experienced a traumatic subdural hemorrhage and whether a comorbid psychiatric disorder was associated with a change in outcome. A retrospective observational study was performed in the California Office of Statewide Health Planning and Development (OSHPD) and the Nationwide Inpatient Sample (NIS). Patients hospitalized for acute subdural hemorrhage were identified using International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes. Patients with coexisting psychiatric diagnoses were identified. Outcomes studied included mortality and adverse discharge disposition. In OSPHD, diagnoses of depression (OR = 0.64, p < 0.001), bipolar disorder (OR = 0.45, p < 0.05), and anxiety (OR = 0.37, p < 0.001) were associated with reduced mortality during hospitalization for TBI, with a trend toward psychosis (OR = 0.56, p = 0.08). Schizophrenia had no effect. Diagnoses of psychosis (OR = 2.12, p < 0.001) and schizophrenia (OR = 2.60, p < 0.001) were associated with increased adverse discharge. Depression and bipolar disorder had no effect, and anxiety was associated with reduced adverse discharge (OR = 0.73, p = 0.01). Results were confirmed using the NIS. Analysis revealed novel associations between coexisting psychiatric diagnoses and TBI outcomes, with some subgroups having decreased mortality and increased adverse discharge. Potential mechanisms include pharmacological effects of frequently prescribed psychiatric medications, the pathophysiology of individual psychiatric disorders, or under-coding of psychiatric illness in the most severely injured patients. Because pharmacological mechanisms, if validated, might lead to improved outcome in TBI patients, further studies may provide significant public health benefit.

Extracellular RNAs (exRNAs) have been identified in all tested biofluids and have been associated with a variety of extracellular vesicles, ribonucleoprotein complexes and lipoprotein complexes. Much of the interest in exRNAs lies in the fact that they may serve as signalling molecules between cells, their potential to serve as biomarkers for prediction and diagnosis of disease and the possibility that exRNAs or the extracellular particles that carry them might be used for therapeutic purposes. Among the most significant bottlenecks to progress in this field is the lack of robust and standardized methods for collection and processing of biofluids, separation of different types of exRNA‐containing particles and isolation and analysis of exRNAs. The Sample and Assay Standards Working Group of the Extracellular RNA Communication Consortium is a group of laboratories funded by the U.S. National Institutes of Health to develop such methods. In our first joint endeavour, we held a series of conference calls and in‐person meetings to survey the methods used among our members, placed them in the context of the current literature and used our findings to identify areas in which the identification of robust methodologies would promote rapid advancements in the exRNA field.

Abstract The clinical efficacies of molecularly targeted glioblastomas therapies have been vastly disappointing. The multitudes of resistance mechanisms suggest that glioblastomas possess highly dynamic molecular circuits grounded in functional redundancy. Emerging data suggests that the expression of functionally redundant oncogenes induced similar forms of cellular stress, requiring hyper-activation of common compensatory pathways to ensure cell viability. Targeting these pathways, therefore, afford potential opportunities for tumor ablation while by-passing the redundancy of oncogenic circuitry. To explore this paradigm, we carried out a siRNA screen to identify synthetic lethal partners of the oncogenic Epidermal Growth Factor Receptor variant III (EGFRvIII) in glioblastoma cells and identified Polo-Like Kinase 1 (PLK1). Treatment using a PLK1 inhibitor, BI2536, or siRNAs induced preferential toxicity to the EGFRvIII expressing glioblastoma cells in multiple in vitro (serum and neurosphere lines) and in vivo models (heterotopic and orthotopic xenograft models). Consistent with the heightened PLK1 requirement, EGFRvIII expressing glioblastomas harbored increased levels of the p-Thr210 PLK1 (an activated form of PLK1). Inhibition of PLK1 by BI2536 treatment induced an increase in the proportion of cells that co-stained for p-Histone H3 and γH2AX foci, suggesting accumulation of mitotic DNA damage. This effect was exacerbated by EGFRvIII expression, implicating induction of mitotic DNA damage as a major contributor to the observed synthetic lethality. Consistent with this observation, EGFRvIII expression induced the formation of aberrant mitosis as well as prolonged mitotic progression. Further supporting an essential role for PLK1 in suppressing DNA damage accumulation, BI2536 treatment significantly enhanced the tumoricidal effect of the DNA damaging chemotherapy, temozolomide. Mechanistically, inhibition of PLK1 suppressed the expression of Rad51, the accumulation of pS14 Rad51 (an active form of Rad51), as well as overall homologous recombination efficiency in vitro. We validated the clinical pertinence of these results using three clinically annotated glioblastoma databases (TCGA, REMEBMRANDT, CGGA). In all three datasets, increased expression of a PLK1 signature consistently associated with increased expression of HR genes and lowered gene expression signature associated with DNA damage accumulation. Supporting our proposed paradigm, the tumoricidal effect of BI2536 was universally observed in a panel of eight murine ink4a/arf (-/-) EGFRvIII expressing glioblastoma clones that developed resistance to EGFR inhibitors by distinct and independent mechanisms. In aggregate, our results support the essential role of PLK1 in suppressing mitotic DNA damage and provide a novel framework for glioblastoma therapy. Citation Format: Ying Shen, Masayuki Nitta, Jie Li, Diahnn Futalan, Tyler Steed, Zack Taich, Jeffrey M. Treiber, Deanna Stevens, Mark A. Schroeder, Jann N. Sarkaria, Hong-Zhuan Chen, Tao Jiang, Bob S. Carter, Fumiko Esashi, Jill Wakosky, Frank Furnari, Webster K. Cavenee, Arshad Desai, Clark C. Chen. Modulation of mitotic DNA damage as a paradigm for glioblastoma therapy. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 2737. doi:10.1158/1538-7445.AM2014-2737