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Background Pituitary tumors are a heterogeneous group of lesions that are usually benign. Therefore, a proper understanding of the anatomy, physiology, and pathology is mandatory to achieve favorable outcomes. Accordingly, diagnostic tests and treatment guidelines should be determined and implemented. Thus, we decided to perform a multicenter study among Italian neurosurgical centers performing pituitary surgery to provide an actual depiction from the neurosurgical standpoint. Methods On behalf of the SINch (Societa Italiana di Neurochirurgia), a survey was undertaken with the participants to explore the activities in the field of pituitary surgery within 41 public institutions. Results Of the 41 centers, 37 participated in the present study. The total number of neurosurgical procedures performed in 2016 was 1479. Most of the procedures were performed using the transsphenoidal approach (1320 transsphenoidal [1204 endoscopic, 53 microscopic, 53 endoscope-assisted microscopic] vs. 159 transcranial). A multidisciplinary tumor board is convened regularly in 32 of 37 centers, and a research laboratory is present in 18 centers. Conclusions Diagnosing pituitary/hypothalamus disorders and treating them is the result of teamwork, composed of several diverse experts. Regarding neurosurgery, our findings have confirmed the central role of the transsphenoidal approach, with preference toward the endoscopic technique. Better outcomes can be expected at centers with a multidisciplinary team and a full, or part of a, residency program, with a greater surgical caseload.

Malignant gliomas are lethal primary intracranial tumors. To date, little information on the role of deregulated genes in gliomas have been identified. As the involvement of miRNAs in the carcinogenesis is well known, we carried out a pilot study to identify, as potential biomarkers, differentially expressed microRNAs in blood samples of patients affected by glioma. We studied the miRNAs' expression, by means of microarray and Real-Time PCR, in 30 blood samples from glioma patients and in 82 blood samples of patients suffering from: (a) various neurological disorders (n=30), (b) primary B-lymphoma of the Central Nervous System (PCNSL, n=36) and (c) secondary brain metastases (n=16). By quantitative real time reverse-transcriptase polymerase chain reaction (qRT-PCR), we identified significantly increased levels of two candidate biomarkers, miR-15b and miR-21, in blood of patients affected by gliomas. ROC analysis of miR-15b biomarker levels allowed to differentiate patients with tumour from patients without glioma. Furthermore, combined expression analyses of miR15b and miR-21 distinguished between patients with and without glioma (90% sensitivity and 100% specificity). In addition, a decrement in the expression levels of miR-16 characterized glioblastomas compared to low grade and anaplastic gliomas. In conclusion, this pilot study suggest that it's possible to identify the disease state by meaning miR-15b and miR-21 markers in blood, while miR-16 can be used to distinguish glioblastoma from other grade gliomas. They can potentially be used as biomarkers for non-invasive diagnosis of gliomas; further studies are mandatory to confirm our preliminary findings.

An altered expression of microRNAs (miRNAs) contributes both to the development of cancer and to the progression of the disease. Malignant tumours and tumour cell lines have widespread deregulated expressions of miRNAs compared to normal tissues. In this study, we investigated the expression profiles of 340 mammalian miRNAs in 93 cases of multiform glioblastoma (primary and secondary glioblastoma tumours), by means of DNA microarrays. We show that the expression profiles of 10 miRNAs can distinguish primary from secondary glioblastoma types. Moreover, we found elevated miR-155 levels in primary and secondary glioblastoma tissues as well as in glioblastoma primary cultures. We hypoth- esised that γ-aminobutyric acid A receptor 1 (GABRA1) is a miR-155 target, and studied the correlation between miR-155 up-regulation and the GABRA1 protein in cultured glioblas- toma cells by miRNA silencing. We show that a decrease in miR-155 expression to normal levels restores the expression of GABRA1, making glioblastoma cells sensitive to signals that inhibit cell proliferation mediated by GABRA1. In conclu- sion, the expression patterns of different miRNAs characterise primary and secondary glioblastomas. The aberrant overex- pression of miR-155 contributes to the malignant phenotype of glioblastoma cells removing growth inhibition. * Contributed equally

Aberrant methylation of CpG islands in the promoter regions of tumour cells results in loss of gene function. In addition to genetic lesions, changes in the methylation profile of the promoters may be considered a factor for tumour-specific aberrant expression of the genes.We investigated the methylation status of E-cadherin gene (CDH1) promoter in low-grade glioma and correlated it with clinical outcome. Eighty-four cases of low-grade glioma (43 diffuse astrocytomas, 27 oligodendrogliomas and 14 oligoastrocytomas) with assessable paraffin-embedded tumour blocks and normal brain tissue, derived from non-cancerous tissue adjacent to tumour and commercially normal brain tissue, were collected, from which we determined CDH1 promoter methylation status and E-cadherin protein expression by methylation-specific polymerase chain reaction (MSP) and immunohistochemistry, respectively. CDH1 promoter was found hypermethylated in 54 out of 84 low grade gliomas (64%) compared with 84 normal brain tissue. CDH1 hypermethylation was found in 65% astrocytomas, 66% oligodendrogliomas and 57% oligoastrocytomas. A significant correlation between hypermethylation status, patient survival and progression-free survival was found (P = 0.04). Survival and progression-free survival were lower in patients with hypermethylated CDH1 promoter. We found that 15 astrocytomas, 9 oligodendrogliomas and 6 oligoastrocytomas were immunoreactive for E-cadherin. The incidence of loss of immunoreactivity for E-cadherin decreased significantly with age, overall survival and progression-free survival (P = 0.001, Kaplan–Meier test). We have demonstrated that CDH1 promoter hypermethylation significantly associated with down-regulated E-cadherin expression and overall survival of patients. This may have a bearing on the prognosis of low-grade glioma.

BACKGROUND: In modern clinical neuro-oncology, the pathologic diagnoses are very challenging, creating significant clinical confusion and affecting therapeutic decisions and prognosis. METHODS: TP53 and PTEN gene sequences were analyzed, and microarray expression profiling was also performed. The authors investigated whether gene expression profiling, coupled with class prediction methodology, could be used to determine the prognosis of gliomatosis cerebri in a more consistent manner than standard pathology. RESULTS: The authors reported the results of a molecular study in 59 cases of gliomatosis cerebri, correlating these results with prognosis. The well-known prognostic factors of gliomas (ie, age, Karnofsky performance status, histology [grade 2 vs 3], and contrast enhancement) were found to be predictive of response or outcome in only a percentage of patients but not in all patients. The authors identified a 23-gene signature that was able to predict patient prognosis with microarray gene expression profiling. With the aim of producing a prognosis tool that is useful in clinical investigation, the authors studied the expression of this 23-gene signature by real-time quantitative polymerase chain reaction. Real-time expression values relative to these 23 gene features were used to build a prediction method able to distinguish patients with a good prognosis (those more likely to be responsive to therapy) from patients with a poor prognosis (those less likely to be responsive to therapy). CONCLUSIONS: The results of the current study demonstrated not only a strong association between gene expression patterns and patient survival, but also a robust replicability of these gene expression–based predictors. Cancer 2009. © 2009 American Cancer Society.