Literature DB >> 27279154

Impact of histopathological transformation and overall survival in patients with progressive anaplastic glioma.

Allen L Ho1, Matthew J Koch2, Shota Tanaka3, April F Eichler4, Tracy T Batchelor4, Jantima Tanboon5, David N Louis6, Daniel P Cahill7, Andrew S Chi4, William T Curry8.   

Abstract

Progression of anaplastic glioma (World Health Organization [WHO] grade III) is typically determined radiographically, and transformation to glioblastoma (GB) (WHO grade IV) is often presumed at that time. However, the frequency of actual histopathologic transformation of anaplastic glioma and the subsequent clinical impact is unclear. To determine these associations, we retrospectively reviewed all anaplastic glioma patients who underwent surgery at our center at first radiographic progression, and we examined the effects of histological diagnosis, clinical history, and molecular factors on transformation rate and survival. We identified 85 anaplastic glioma (39 astrocytoma, 24 oligodendroglioma, 22 oligoastrocytoma), of which 38.8% transformed to GB. Transformation was associated with shorter overall survival (OS) from the time of diagnosis (3.4 vs. 10.9years, p=0.0005) and second surgery (1.0 vs. 3.5years, p<0.0001). Original histologic subtype did not significantly impact the risk of transformation or OS. No other factors, including surgery, adjuvant therapy or molecular markers, significantly affected the risk of transformation. However, mutations in isocitrate dehydrogenase 1 (IDH1) was associated with longer time to progression (median 4.6 vs. 1.4years, p=0.008) and OS (median 10.0 vs. 4.2years, p=0.046). At radiographic progression, tissue diagnosis may be warranted as histologic grade may provide valuable prognostic information and affect therapeutic clinical trial selection criteria for this patient population.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anaplastic glioma; Glioblastoma; Malignant glioma; Recurrent glioma; Transformation

Mesh:

Substances:

Year:  2016        PMID: 27279154     DOI: 10.1016/j.jocn.2016.02.019

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


  5 in total

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Authors:  Chao Liu; Ligang Wang; Hongmei Qiu; Qing Dong; Yong Feng; Dawei Li; Chengli Li; Cundong Fan
Journal:  Neurochem Res       Date:  2018-05-26       Impact factor: 3.996

2.  A novel brain tumour model in zebrafish reveals the role of YAP activation in MAPK- and PI3K-induced malignant growth.

Authors:  Marie Mayrhofer; Victor Gourain; Markus Reischl; Pierre Affaticati; Arnim Jenett; Jean-Stephane Joly; Matteo Benelli; Francesca Demichelis; Pietro Luigi Poliani; Dirk Sieger; Marina Mione
Journal:  Dis Model Mech       Date:  2016-11-24       Impact factor: 5.758

3.  Salinomycin exhibits anti-angiogenic activity against human glioma in vitro and in vivo by suppressing the VEGF-VEGFR2-AKT/FAK signaling axis.

Authors:  Yan-Ling Bi; Pei-Yan Mi; Shi-Jun Zhao; Heng-Ming Pan; Hui-Juan Li; Fei Liu; Lu-Rong Shao; Hui-Fang Zhang; Pu Zhang; Shi-Liang Jiang
Journal:  Int J Mol Med       Date:  2017-03-29       Impact factor: 4.101

4.  Preoperative albumin-to-globulin ratio and prognostic nutrition index predict prognosis for glioblastoma.

Authors:  Wen-Zhe Xu; Feng Li; Zhen-Kuan Xu; Xuan Chen; Bin Sun; Jing-Wei Cao; Yu-Guang Liu
Journal:  Onco Targets Ther       Date:  2017-02-08       Impact factor: 4.147

5.  Identification of an IFN-β-associated gene signature for the prediction of overall survival among glioblastoma patients.

Authors:  Lijing Cheng; Meiling Yuan; Shu Li; Zhiying Lian; Junjing Chen; Weibiao Lin; Jianbo Zhang; Shupeng Zhong
Journal:  Ann Transl Med       Date:  2021-06
  5 in total

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