Literature DB >> 25124644

Fast cell cycle analysis for intraoperative characterization of brain tumor margins and malignancy.

George A Alexiou1, George Vartholomatos2, Anna Goussia3, Anna Batistatou3, Konstantinos Tsamis4, Spyridon Voulgaris5, Athanasios P Kyritsis6.   

Abstract

Flow cytometry, although indispensable for the characterization of hematologic malignancies, has not been extensively evaluated in solid tumors. To date intraoperative pathology evaluation of frozen sections of tissue obtained during surgery is the gold standard for intraoperative diagnosis. We investigated the value of a modified rapid protocol for cell cycle analysis for the intraoperative characterization of intracranial lesions and their surgical margins. We investigated patients who underwent surgery for an intracranial lesion suspicious for a tumor. DNA analysis and frozen sections were performed on tumor samples that were taken during surgery. Thirty-one patients met the inclusion criteria for the study. There was a significant difference in G0/G1 phase between high-grade and low-grade tumors. Receiver operating characteristic (ROC) analysis provided 75% of G0/G1 fraction as the optimal cutoff value thresholding the discrimination between low and high-grade tumors. There was a significant difference in S-phase and mitoses fraction between high-grade and low-grade tumors. ROC analysis indicated 6% of S-phase and 9.7% of mitoses as the optimal cutoff values thresholding the discrimination between these two groups. In the glioblastoma patients, we also analyzed the perilesional tissue and found significant differences between tumor mass and margins regarding the G0/G1 phase, the S-phase and mitoses fraction. In conclusion rapid cell cycle analysis is a method capable of differentiating low from high-grade tumors and delineating tumor margins in gliomas. Thus, the role of cell cycle analysis in brain tumors warrants further investigation.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cell cycle; Flow cytometry; Glioma; Meningioma

Mesh:

Substances:

Year:  2014        PMID: 25124644     DOI: 10.1016/j.jocn.2014.05.029

Source DB:  PubMed          Journal:  J Clin Neurosci        ISSN: 0967-5868            Impact factor:   1.961


  5 in total

1.  Intraoperative cell-cycle analysis to guide brain tumor removal.

Authors:  George Vartholomatos; George Alexiou; Anna Batistatou; Athanasios P Kyritsis
Journal:  Proc Natl Acad Sci U S A       Date:  2014-08-13       Impact factor: 11.205

Review 2.  Future directions of operative neuro-oncology.

Authors:  Robert C Rennert; David R Santiago-Dieppa; Javier Figueroa; Nader Sanai; Bob S Carter
Journal:  J Neurooncol       Date:  2016-06-22       Impact factor: 4.130

3.  FLAIRectomy: Resecting beyond the Contrast Margin for Glioblastoma.

Authors:  Alexander F Haddad; Jacob S Young; Ramin A Morshed; Mitchel S Berger
Journal:  Brain Sci       Date:  2022-04-25

4.  Prognostic significance of S-phase fractions in peritumoral invading zone analyzed by laser scanning cytometry in patients with high-grade glioma: A preliminary study.

Authors:  Syoichi Nakajima; Ken Morii; Hitoshi Takahashi; Yukihiko Fujii; Ryuya Yamanaka
Journal:  Oncol Lett       Date:  2016-02-09       Impact factor: 2.967

Review 5.  Surgical oncology for gliomas: the state of the art.

Authors:  Nader Sanai; Mitchel S Berger
Journal:  Nat Rev Clin Oncol       Date:  2017-11-21       Impact factor: 66.675

  5 in total

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