Tumor invasion or infiltration of adjacent tissues is the source of clinical challenges in diagnosis as well as prevention and treatment. Among brain tumors, infiltration of the adjacent tissues with diverse pleiotropic mechanisms is frequently encountered in benign meningiomas. We assessed whether a multiparametric analysis of meningiomas based on data from both clinical observations and molecular analyses could provide a consistent and accurate appraisal of invasive and infiltrative phenotypes and help determine the diagnosis of these tumors. Tissue analyses of 37 meningiomas combined enzyme-linked immunosorbent assay (ELISA) and surface-enhanced laser desorption/ionization time-of-flight (SELDI-TOF) assays of two different protein biomarkers (thrombospondin 1 and a phosphorylated form of vimentin) as well as gene expression analyses with oligonucleotide micro-arrays. Up to four different clinical and molecular parameters were then examined for tumor classification. From this study, we were able to cluster 36 out of the 37 tumors into two different subsets corresponding to infiltrative/invasive and non-infiltrative tumors. In addition, meningiomas that invade brain and those that infiltrate the neighboring skull bone exhibited no distinguishable molecular features. Our multi-parameter analysis that combines clinical data, transcriptomic and molecular assays clearly reveals the heterogeneity of meningiomas and distinguishes the intrinsically infiltrative/invasive tumors from the non-infiltrative meningiomas.

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