Literature DB >> 9574635

Accumulation of p53 and Ki-67 expression do not predict survival in patients with fibrillary astrocytomas or the response of these tumors to radiotherapy.

D A Hilton1, S Love, R Barber, D Ellison, D R Sandeman.   

Abstract

OBJECTIVE: Although radiotherapy is often used in the treatment of patients with low-grade astrocytomas, its value is still uncertain. Radiotherapy carries a risk of morbidity for patients and has time and cost implications for health services. We have assessed the value of two histological variables, p53 accumulation and Ki-67 expression, in predicting the response of astrocytomas to radiotherapy. The former antigen was assessed because many astrocytic tumors show mutations in the p53 gene, the function of which is crucial for mediating cell death after radiotherapy, and the latter was assessed because it is expressed only in proliferating tumor cells, which may show greater radiosensitivity than nonproliferating cells.
METHODS: Immunohistochemistry was used to detect the accumulation of p53 and expression of Ki-67 in a retrospective series of 96 patients with supratentorial fibrillary astrocytomas, 58 of whom had received postoperative radiotherapy. The immunohistochemical data were correlated with survival after radiotherapy.
RESULTS: There was no significant difference in survival between the patients who did and those who did not receive radiotherapy. The p53 and Ki-67 labeling indices did not correlate with survival in either the irradiated or the nonirradiated cohort, nor with overall survival in the series as a whole.
CONCLUSION: Immunohistochemical assessment of p53 accumulation and Ki-67 expression does not help in predicting the survival of patients with supratentorial fibrillary astrocytomas or in predicting whether particular patients are likely to benefit from radiotherapy.

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Year:  1998        PMID: 9574635     DOI: 10.1097/00006123-199804000-00021

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  12 in total

1.  Prognostic value of histological features in diffuse astrocytomas WHO grade II.

Authors:  Tove Lind-Landström; Andreas Hanssøn Habberstad; Stein Sundstrøm; Sverre Helge Torp
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2.  Brain tumor invasion rate measured in vitro does not correlate with Ki-67 expression.

Authors:  S Khoshyomn; S Lew; J DeMattia; E B Singer; P L Penar
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3.  Clinicopathological features, MIB-1 labeling index and apoptotic index in recurrent astrocytic tumors.

Authors:  A M Ralte; M C Sharma; A K Karak; V S Mehta; C Sarkar
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4.  Spontaneous regression of residual low-grade cerebellar pilocytic astrocytomas in children.

Authors:  Roxana S Gunny; Richard D Hayward; Kim P Phipps; Brian N Harding; Dawn E Saunders
Journal:  Pediatr Radiol       Date:  2005-07-27

5.  Treatment of low-grade diffuse astrocytomas by surgery and human fibroblast interferon without radiation therapy.

Authors:  Takao Watanabe; Yoichi Katayama; Atsuo Yoshino; Chiaki Komine; Takakazu Yokoyama; Takao Fukushima
Journal:  J Neurooncol       Date:  2003-01       Impact factor: 4.130

Review 6.  The clinical value of Ki-67/MIB-1 labeling index in human astrocytomas.

Authors:  Anne Linn Johannessen; Sverre Helge Torp
Journal:  Pathol Oncol Res       Date:  2006-09-23       Impact factor: 3.201

Review 7.  P53 immunoexpression as a prognostic marker for human astrocytomas: a meta-analysis and review of the literature.

Authors:  Georgia Levidou; Elias El-Habr; Angelica A Saetta; Christine Bamias; Klea Katsouyanni; Klea Katsougiannis; Efstratios Patsouris; Penelope Korkolopoulou
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Review 8.  Low-grade glioma: supratentorial astrocytoma, oligodendroglioma, and oligoastrocytoma in adults.

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Journal:  Curr Neurol Neurosci Rep       Date:  2004-05       Impact factor: 5.081

9.  The expression level of sphingosine-1-phosphate receptor type 1 is related to MIB-1 labeling index and predicts survival of glioblastoma patients.

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Review 10.  The role of radiotherapy in the management of patients with diffuse low grade glioma: A systematic review and evidence-based clinical practice guideline.

Authors:  Timothy C Ryken; Ian Parney; John Buatti; Steven N Kalkanis; Jeffrey J Olson
Journal:  J Neurooncol       Date:  2015-11-03       Impact factor: 4.130

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