Skip to main navigation Skip to search Skip to main content

Applying DDX3X Biomarker to Discriminate Atypical from Benign Meningiomas in Tissue Microarray

  • Wen Chiuan Tsai
  • , Dueng Yuan Hueng
  • , Chii Ruey Lin
  • , Thomas C.K. Yang
  • , Shin Nieh
  • , Hong Wei Gao

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Patients with atypical meningiomas have a higher recurrence rate and poorer prognosis than patients with benign meningeal tumors. However, differentiating atypical from benign meningiomas based on fragmented specimens from brain tumor biopsy is complicated. We tested the association of DDX3X cytoplasmic expression and World Health Organization grading system in various subtypes of meningiomas. In our study, DDX3X expression was evaluated immunohistochemically in 10 non-neoplastic brain tissues and 71 meningiomas. The immunostaining scores were calculated as the product of cytoplasmic DDX3X intensity and the percentage of positively stained cells. Our results revealed most of the non-neoplastic brain tissues were immunonegative for DDX3X. The average DDX3X immunostaining score was significantly higher in meningiomas than non-neoplastic brain tissues and significantly higher in atypical meningiomas than in various subtypes of benign meningiomas. In conclusion, DDX3X immunohistochemistry combined with hematoxylin and eosin staining may help differentiate atypical meningiomas from benign meningeal tumors.

Original languageEnglish
Pages (from-to)263-267
Number of pages5
JournalApplied Immunohistochemistry and Molecular Morphology
Volume26
Issue number4
DOIs
StatePublished - 2018

Bibliographical note

Publisher Copyright:
© Copyright 2016 Wolters Kluwer Health, Inc. All rights reserved.

Keywords

  • DDX3X
  • atypical
  • benign
  • immunostaining score
  • meningioma
  • survival

Fingerprint

Dive into the research topics of 'Applying DDX3X Biomarker to Discriminate Atypical from Benign Meningiomas in Tissue Microarray'. Together they form a unique fingerprint.

Cite this