Literature DB >> 7561922

Prognostic indicators in a range of astrocytic tumours: an immunohistochemical study with Ki-67 and p53 antibodies.

D W Ellison1, P V Steart, A C Bateman, R M Pickering, J D Palmer, R O Weller.   

Abstract

The treatment and prognosis of patients with cerebral astrocytic tumours are currently guided by histopathological classification. This study evaluates immunohistochemistry using Ki-67, an antibody to a nuclear protein expressed in proliferating cells, and DO-7, an antibody to the product of the tumour suppressor gene p53, as prognostic indicators for these tumours. Immunohistochemistry with Ki-67 has been correlated with the behaviour of many different tumours, but its value as a prognostic indicator in astrocytic tumours is diminished by the conflicting results of previous studies. Immunohistochemistry with antibodies to the p53 protein has been used as a prognostic indicator in melanomas and some carcinomas, but the relation between prognosis and accumulation of this protein in astrocytic tumours has not been clarified. We have tested the hypothesis that survival is correlated with Ki-67 immunolabelling indices (LIs) and patterns of p53 immunolabelling in the cerebral astrocytic tumours of a large cohort of patients (n = 123) for whom clinical indices were well documented. Astrocytic tumours were divided into three histological types: fibrillary astrocytoma (n = 24), anaplastic astrocytoma (n = 31), and glioblastoma (n = 68). Histological type and patient age were independent predictors of survival. Median Ki-67 LIs differed significantly (P < 0.0001) between the types of astrocytic tumour, and tumours with a Ki-67 LI < 2% had a significantly (P < 0.0001) better prognosis. Ki-67 LI as a continuous variable carried a significant (P = 0.0043) unadjusted hazard to survival which was lost when adjusted for other variables, notably histological type. By contrast, no relation was found between survival and three categories of p53 labeling (p53-negative, p53 LI < 40%, and p53 LI > 60%). The results indicate that, whereas Ki-67 immunohistochemistry predicts survival in patients with astrocytic tumours, conventional histological appraisal remains the best guide to prognosis, and immunohistochemistry for p53 has no value in the assessment of these tumours.

Entities:  

Mesh:

Substances:

Year:  1995        PMID: 7561922      PMCID: PMC486079          DOI: 10.1136/jnnp.59.4.413

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  41 in total

1.  Immunobiochemical and molecular biologic characterization of the cell proliferation-associated nuclear antigen that is defined by monoclonal antibody Ki-67.

Authors:  J Gerdes; L Li; C Schlueter; M Duchrow; C Wohlenberg; C Gerlach; I Stahmer; S Kloth; E Brandt; H D Flad
Journal:  Am J Pathol       Date:  1991-04       Impact factor: 4.307

Review 2.  Monoclonal antibody Ki-67: its use in histopathology.

Authors:  D C Brown; K C Gatter
Journal:  Histopathology       Date:  1990-12       Impact factor: 5.087

3.  Patient age, histologic features, and length of survival in patients with glioblastoma multiforme.

Authors:  P C Burger; S B Green
Journal:  Cancer       Date:  1987-05-01       Impact factor: 6.860

4.  Cell proliferation patterns in the diagnosis of astrocytomas, anaplastic astrocytomas and glioblastoma multiforme: a Ki-67 study.

Authors:  R Raghavan; P V Steart; R O Weller
Journal:  Neuropathol Appl Neurobiol       Date:  1990-04       Impact factor: 8.090

5.  Presence of a potent transcription activating sequence in the p53 protein.

Authors:  S Fields; S K Jang
Journal:  Science       Date:  1990-08-31       Impact factor: 47.728

6.  In situ analysis of cell kinetics in human brain tumors. A comparative immunocytochemical study of S phase cells by a new in vitro bromodeoxyuridine-labeling technique, and of proliferating pool cells by monoclonal antibody Ki-67.

Authors:  T Morimura; K Kitz; H Budka
Journal:  Acta Neuropathol       Date:  1989       Impact factor: 17.088

7.  Correlates of survival and the Daumas-Duport grading system for astrocytomas.

Authors:  T S Kim; A L Halliday; E T Hedley-Whyte; K Convery
Journal:  J Neurosurg       Date:  1991-01       Impact factor: 5.115

8.  Prognostic implications of p53 overexpression in supratentorial astrocytic tumors.

Authors:  B S Chozick; J C Pezzullo; M H Epstein; P W Finch
Journal:  Neurosurgery       Date:  1994-11       Impact factor: 4.654

9.  Identification of proliferating cells in human gliomas using the monoclonal antibody Ki-67.

Authors:  P Zuber; M F Hamou; N de Tribolet
Journal:  Neurosurgery       Date:  1988-02       Impact factor: 4.654

10.  Glioblastoma multiforme and anaplastic astrocytoma. Pathologic criteria and prognostic implications.

Authors:  P C Burger; F S Vogel; S B Green; T A Strike
Journal:  Cancer       Date:  1985-09-01       Impact factor: 6.860

View more
  10 in total

1.  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
Journal:  Pathol Oncol Res       Date:  2001       Impact factor: 3.201

2.  Ki-67 labeling is correlated with the time to recurrence in primary glioblastomas.

Authors:  Roland Schröder; Klaus D Feisel; Ralf-Ingo Ernestus
Journal:  J Neurooncol       Date:  2002-01       Impact factor: 4.130

3.  Prognostic value of the expression of tumor suppressor genes p53, p21, p16 and prb, and Ki-67 labelling in high grade astrocytomas treated with radiotherapy.

Authors:  R Kirla; E Salminen; S Huhtala; J Nuutinen; L Talve; H Haapasalo; H Kalimo
Journal:  J Neurooncol       Date:  2000       Impact factor: 4.130

Review 4.  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
Journal:  J Neurooncol       Date:  2010-05-12       Impact factor: 4.130

5.  Cell kinetic analysis in recurrent neuro-epithelial tumours.

Authors:  E Gömöri; I Mészáros; G Méhes; T Dóczi; L Pajor
Journal:  Acta Neurochir (Wien)       Date:  1996       Impact factor: 2.216

6.  Invasiveness in vitro and biological markers in human primary glioblastomas.

Authors:  O D Laerum; S J Nygaar; S Steine; S J Mørk; O Engebraaten; A Peraud; P Kleihues; H Ohgaki
Journal:  J Neurooncol       Date:  2001-08       Impact factor: 4.130

7.  Immunohistochemical markers for prognosis of anaplastic astrocytomas.

Authors:  Andrey Korshunov; Andrey Golanov; Regina Sycheva
Journal:  J Neurooncol       Date:  2002-07       Impact factor: 4.130

8.  Immunohistochemical markers for prognosis of cerebral glioblastomas.

Authors:  Andrey Korshunov; Andrey Golanov; Regina Sycheva
Journal:  J Neurooncol       Date:  2002-07       Impact factor: 4.130

9.  Insights into the prognostic value of DJ-1 and MIB-1 in astrocytic tumors.

Authors:  Rasha M Abd El Atti; Hoda H Abou Gabal; Wesam M Osman; Amr S Saad
Journal:  Diagn Pathol       Date:  2013-07-31       Impact factor: 2.644

10.  Mindbomb Homolog-1 Index in the Prognosis of High-Grade Glioma and Its Clinicopathological Correlation.

Authors:  Shyam Sundar Krishnan; Shanmugam Muthiah; Shilpa Rao; Suganthi Srinivasan Salem; Vasudevan Chakravarthy Madabhushi; Anita Mahadevan
Journal:  J Neurosci Rural Pract       Date:  2019 Apr-Jun
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.