The Differentially Expressed Genes of Human Sporadic Cerebral Cavernous Malformations.

OBJECTIVES: To understand the development of sporadic cerebral cavernous malformations (SCCM) comprehensively, we analyzed gene expression profiles in SCCMs by gene microarray. METHODS: The total number of the specimens collected in our study was 14, 7 of which were SCCMs, and the others were controls that were obtained from normal brain vessels. The total RNA was extracted and hybridized with oligonucleotide array containing 21522 genes. The analysis of Gene Ontology (GO) items and molecular pathways was performed based on the GO and Kyoto Encyclopedia of Genes and Genomes databases. The gene coexpression networks were constructed to identify the core genes regulating the progression of SCCMs. RESULTS: A total of 785 probes, showing differentially expressed genes (DEGs) between the 2 groups, were found by the gene chips. According to the analysis based on GO and Kyoto Encyclopedia of Genes and Genomes, 286 GO terms and 53 pathways were identified to be significantly relevant with the DEGs. All differential gene interactions were analyzed and the core genes were selected in the coexpression networks. CONCLUSIONS: The gene expression profiles obtained from SCCMs were significantly distinct from those of control brain vascular specimens. These DEGs are related to multiple molecular signal pathways, such as the mitogen-activated protein kinase pathway, cytokine-cytokine receptor interaction, focal adhesion, and inflammatory response. According to the analysis of the core genes selected in the gene coexpression networks, we postulated that CSF1R, XCL1, KCNMB1, RHOG, and TJP1 might exert enormous functions in the pathogenesis of SCCMs. However, further studies are required to aid in the clinical diagnosis and prevention of SCCMs.

The relation between angioarchitectural factors of developmental venous anomaly and concomitant sporadic cavernous malformation.

BACKGROUND: Past studies found that cerebral developmental venous anomaly (DVA) is often concurrent with cavernous malformation (CM). But the reason of the concurrency remains unknown. The purpose of this study was to confirm whether angioarchitectural factors relate to the concurrence and which angioarchitectural factors can induce the concurrency. METHODS: DVA cases were selected from the records of the same 3.0 T MR. The DVA cases was divided into two group which are DVA group and DVA concurrent with CM group. 8 angioarchitectural factors of the DVAs were selected and measured. Statistical analysis was performed by the Pearson chi-square statistic,analysis of variance (ANOVA) and multi-factor logistic regression analysis. RESULTS: Five hundred three DVA lesions were found and 76 CM lesions coexisting with DVA. In the single factor analysis, all the 8 angioarchitectural factors of DVA were related to the concurrency. In the multivariate analysis, 6 angioarchitectural factors. Result of multi-factor logistic regression analysis is Logit(P) = -4.858-0.932(Location) + 1.616(Direction) + 1.757(Torsion) + 0.237(Number) + 2.119(Stenosis rate of medullary vein)-0.015(Angle), goodness of fit is 90.1 %. CONCLUSIONS: The angioarchitectural factors of DVA are related to the concurrency of DVA and CM. 6 angioarchitectural factors may induce the concurrency.

The association between cerebral developmental venous anomaly and concomitant cavernous malformation: an observational study using magnetic resonance imaging.

BACKGROUND: Some studies reported that cerebral developmental venous anomaly (DVA) is often concurrent with cavernous malformation (CM). But there is lack of statistical evidence and study of bulk cases. The factors associated with concurrency are still unknown. The purpose of this study was to determine the prevalence of concomitant DVA and CM using observational data on Chinese patients and analyze the factors associated with the concurrency. METHODS: The records of all cranial magnetic resonance imaging (MRI) performed between January 2001 and December 2012 in Beijing Tiantan Hospital were reviewed retrospectively. The DVA and CM cases were selected according to imaging reports that met diagnostic criteria. Statistical analysis was performed using the Pearson chi-square statistic for binary variables and multivariable logistic regression analysis for predictors associated with the concurrent CM. RESULTS: We reviewed a total of 165,230 cranial MR images performed during the previous 12 year period, and identified 1,839 cases that met DVA radiographic criteria. There were 205 patients who presented concomitant CM among the 1,839 DVAs. The CM prevalence in DVA cases (11.1%) was significantly higher than that in the non-DVA cases (2.3%) (P<0.01). In the multivariate analysis, we found that DVAs with three or more medullary veins in the same MRI section (adjusted OR = 2.37, 95% CI: 1.73-3.24), infratentorial DVAs (adjusted OR = 1.71, 95% CI: 1.26-2.33) and multiple DVAs (adjusted OR = 2.08, 95% CI: 1.04-4.16) have a higher likelihood of being concomitant with CM. CONCLUSIONS: CM are prone to coexisting with DVA. There is a higher chance of concurrent CM with DVA when the DVA has three or more medullary veins in the same MRI scanning section, when the DVA is infratentorial, and when there are multiple DVAs. When diagnosing DVA cases, physicians should be alerted to the possibility of concurrent CM.