title: New classification scheme for the prognostic stratification of meningioma on the basis of chromosome 14 abnormalities, patient age, and tumor histopathology.
abstract: OBJECTIVE
  Meningiomas are usually considered benign tumors. However, relapses occur in 10% to 20% of all patients, including both histopathologically aggressive and benign tumors. This study explored the value of numerical abnormalities for 10 different chromosomes in meningiomas for predicting relapse-free survival (RFS).
  
  
  METHODS
  This study prospectively analyzed the frequency of numerical abnormalities of chromosomes 1, 9, 10, 11, 14, 15, 17, 22, X, and Y in 70 meningioma patients by fluorescence in situ hybridization and their relationship with disease characteristics at diagnosis and patients' outcome.
  
  
  RESULTS
  Results showed the presence of numerical abnormalities for one or more chromosomes in most patients (77%). Chromosome 22 in the whole series and chromosome Y in males were those more frequently altered, followed by chromosomes 1, 14, and X in females. Patients with abnormalities of chromosomes 1, 9, 10, 11, 14, 15, 17, the sex chromosomes, and gains of chromosome 22 were associated with adverse prognostic features, more frequent relapses, and shorter RFS. Multivariate analysis showed that tumor grade together with chromosome 14 status and age were the best combination of independent variables for predicting RFS. According to these variables, all patients with a score of two or more than two adverse prognostic factors had experienced relapse at 5 years, whereas none of those with a score of zero had experienced relapse 10 years after surgery.
  
  
  CONCLUSIONS
  In addition to age and histologic grade, abnormalities of chromosome 14 contribute to a better prognostic stratification of meningioma patients at diagnosis. Additional prospective studies in larger series of patients, also including larger numbers of patients who experienced relapse, are necessary to confirm the utility of the proposed predictive model.
authors.affiliation: Neurosurgery Service, Hospital Universitario de Salamanca, Salamanca, Spain. a_maillo@yahoo.es.
authors.forename: Angel
authors.initials: A
authors.lastname: Maillo
authors.forename: Alberto
authors.initials: A
authors.lastname: Orfao
authors.forename: José María
authors.initials: JM
authors.lastname: Sayagues
authors.forename: Pedro
authors.initials: P
authors.lastname: Diaz
authors.forename: Juan Antonio
authors.initials: JA
authors.lastname: Gómez-Moreta
authors.forename: Marcelino
authors.initials: M
authors.lastname: Caballero
authors.forename: David
authors.initials: D
authors.lastname: Santamarta
authors.forename: Angel
authors.initials: A
authors.lastname: Santos-Briz
authors.forename: Francisco
authors.initials: F
authors.lastname: Morales
authors.forename: María Dolores
authors.initials: MD
authors.lastname: Tabernero
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D016009:Chi-Square Distribution; D002869:Chromosome Aberrations / Q000145:classification / Q000706:statistics & numerical data; D002883:Chromosomes, Human, Pair 14 / Q000235:genetics*; D005260:Female; D005434:Flow Cytometry; D006801:Humans; D017404:In Situ Hybridization, Fluorescence / Q000379:methods; D008297:Male; D008577:Meningeal Neoplasms / Q000235:genetics* / Q000473:pathology; D008579:Meningioma / Q000235:genetics* / Q000473:pathology; D008875:Middle Aged; D011379:Prognosis; D011446:Prospective Studies; D012008:Recurrence; D012044:Regression Analysis; D018709:Statistics, Nonparametric