Literature DB >> 12569607

Prognostic implication of clinical, radiologic, and pathologic features in patients with anaplastic gliomas.

Avelina Tortosa1, Núria Viñolas, Salvador Villà, Eugènia Verger, Juan M Gil, Marta Brell, Lluís Caral, Teresa Pujol, Juan J Acebes, Teresa Ribalta, Isidre Ferrer, Francesc Graus.   

Abstract

BACKGROUND: The clinical evolution of anaplastic glioma (anaplastic astrocytoma, oligodendroglioma, and oligoastrocytoma) is variable. Previous studies merged patients with anaplastic glioma and the much more common glioblastoma multiforme. Therefore, the conclusions on prognostic factors reflected in part the consequences of an analysis in a heterogeneous population.
METHODS: To identify clinical, neuroradiologic, pathologic, and molecular factors with prognostic significance, we analyzed 95 treated patients with a histologic diagnosis of anaplastic glioma. Variables included age, gender, clinical manifestations at diagnosis (seizures, focal neurologic deficit, and cognitive changes), computed tomographic (CT) scan characteristics (diffuse, ring, and no enhancement), tumor location, extent of resection, histopathology, postoperative Karnofsky performance status (KPS) score, adjuvant chemotherapy, tumor response, proliferation index (Ki-67 expression), and p53, p16, pRb, and epidermal growth factor receptor immunohistochemical expression.
RESULTS: Ninety-five patients with a histologic diagnosis of anaplastic astrocytoma (73%), anaplastic oligoastrocytoma (16.6%), or anaplastic oligodendroglioma (10.4%) constituted the basis of this study. Median overall survival was 29 months. Multivariate analysis revealed that an age of 49 years or younger (P < 0.03), postoperative KPS score of 80 or higher (P < 0.007), absence of ring enhancement (P = 0.03), and a proliferation index of 5.1% or lower (P = 0.044) were independently associated with longer survival. The presence of an oligodendroglial component was associated with better prognosis in the univariate analysis (P = 0.009), although this lost power in the multivariate analysis.
CONCLUSIONS: In addition to previously recognized prognostic variables such as age and KPS score, CT ring enhancement and tumor proliferation index were identified as independent predictors of survival in a homogeneous series of patients with anaplastic gliomas. Copyright 2003 American Cancer Society

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Year:  2003        PMID: 12569607     DOI: 10.1002/cncr.11120

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  48 in total

1.  1p/19q-driven prognostic molecular classification for high-grade oligodendroglial tumors.

Authors:  Haihui Jiang; Zhe Zhang; Xiaohui Ren; Wei Zeng; Wenqing Jia; Junmei Wang; Song Lin
Journal:  J Neurooncol       Date:  2014-08-24       Impact factor: 4.130

2.  Patterns of Tumor Contrast Enhancement Predict the Prognosis of Anaplastic Gliomas with IDH1 Mutation.

Authors:  Y Y Wang; K Wang; S W Li; J F Wang; J Ma; T Jiang; J P Dai
Journal:  AJNR Am J Neuroradiol       Date:  2015-08-27       Impact factor: 3.825

3.  Radiotherapy and temozolomide in anaplastic astrocytoma: a retrospective multicenter study by the Central Nervous System Study Group of AIRO (Italian Association of Radiation Oncology).

Authors:  Silvia Scoccianti; Stefano Maria Magrini; Umberto Ricardi; Beatrice Detti; Marco Krengli; Salvatore Parisi; Filippo Bertoni; Guido Sotti; Samantha Cipressi; Vincenzo Tombolini; Stefano Dall'oglio; Marco Lioce; Calogero Saieva; Michela Buglione; Cristina Mantovani; Giovanni Rubino; Paolo Muto; Vincenzo Fusco; Laura Fariselli; Costantino de Renzis; Laura Masini; Riccardo Santoni; Luigi Pirtoli; Giampaolo Biti
Journal:  Neuro Oncol       Date:  2012-04-25       Impact factor: 12.300

4.  Survival following adjuvant PCV or temozolomide for anaplastic astrocytoma.

Authors:  Alba A Brandes; Linda Nicolardi; Alicia Tosoni; Marina Gardiman; Paolo Iuzzolino; Claudio Ghimenton; Michele Reni; Antonino Rotilio; Guido Sotti; Mario Ermani
Journal:  Neuro Oncol       Date:  2006-05-24       Impact factor: 12.300

5.  Performance evaluation of radiologists with artificial neural network for differential diagnosis of intra-axial cerebral tumors on MR images.

Authors:  K Yamashita; T Yoshiura; H Arimura; F Mihara; T Noguchi; A Hiwatashi; O Togao; Y Yamashita; T Shono; S Kumazawa; Y Higashida; H Honda
Journal:  AJNR Am J Neuroradiol       Date:  2008-04-03       Impact factor: 3.825

Review 6.  Operative techniques for gliomas and the value of extent of resection.

Authors:  Nader Sanai; Mitchel S Berger
Journal:  Neurotherapeutics       Date:  2009-07       Impact factor: 7.620

7.  Type 2 diabetes mellitus and obesity are independent risk factors for poor outcome in patients with high-grade glioma.

Authors:  Lola B Chambless; Scott L Parker; Laila Hassam-Malani; Matthew J McGirt; Reid C Thompson
Journal:  J Neurooncol       Date:  2011-08-11       Impact factor: 4.130

8.  Diagnostic discrepancies in malignant astrocytoma due to limited small pathological tumor sample can be overcome by IDH1 testing.

Authors:  Betty Y S Kim; Wen Jiang; Jason Beiko; Sujit S Prabhu; Franco DeMonte; Mark R Gilbert; Raymond Sawaya; Kenneth D Aldape; Daniel P Cahill; Ian E McCutcheon
Journal:  J Neurooncol       Date:  2014-04-29       Impact factor: 4.130

9.  Salvage chemotherapy with bevacizumab for recurrent alkylator-refractory anaplastic astrocytoma.

Authors:  Marc C Chamberlain; Sandra Johnston
Journal:  J Neurooncol       Date:  2008-10-25       Impact factor: 4.130

10.  Recursive partitioning analysis of prognostic factors in WHO grade III glioma patients treated with radiotherapy or radiotherapy plus chemotherapy.

Authors:  Chul-Kee Park; Se-Hoon Lee; Jung Ho Han; Chae-Yong Kim; Dong-Wan Kim; Sun Ha Paek; Dong Gyu Kim; Dae Seog Heo; Il Han Kim; Hee-Won Jung
Journal:  BMC Cancer       Date:  2009-12-18       Impact factor: 4.430

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