Factors influencing p53 expression in ovarian cancer as a biomarker of clinical outcome in multicentre studies

被引:31
作者
de Graeff, P.
Hall, J.
Crijns, A. P. G.
de Bock, G. H.
Paul, J.
Oien, K. A.
ten Hoor, K. A.
de Jong, S.
Hollema, H.
Bartlett, J. M. S.
Brown, R. [1 ]
van der Zee, A. G. J.
机构
[1] Univ Glasgow, Ctr Oncol & Appl Pharmacol, Canc Res UK Beatson Labs, Glasgow G61 1BD, Lanark, Scotland
[2] Univ Groningen, Med Ctr, Dept Gynaecol Oncol, NL-9700 RB Groningen, Netherlands
[3] Univ Groningen, Med Ctr, Dept Epidemiol & Stat, NL-9700 RB Groningen, Netherlands
[4] Univ Groningen, Med Ctr, Dept Med Oncol, NL-9700 RB Groningen, Netherlands
[5] Univ Groningen, Med Ctr, Dept Pathol, NL-9700 RB Groningen, Netherlands
[6] Univ Glasgow, Royal Infirm, Dept Surg, Endocrine Canc Grp, Glasgow G31 2ER, Lanark, Scotland
关键词
ovarian cancer; prognosis; p53;
D O I
10.1038/sj.bjc.6603300
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The prognostic impact of p53 immunostaining in a large series of tumours from epithelial ovarian cancer patients in a two-centre study was analysed. The study population (n = 476) comprised of a retrospective series of 188 patients (Dutch cohort) and a prospective series of 288 patients (Scottish cohort) enrolled in clinical trials. P53 expression was determined by immunohistochemistry on tissue microarrays. Association with progression-free survival (PFS) and overall survival (OS) was analysed by univariate and multivariate Cox regression analysis. Aberrant p53 overexpression was significantly associated with PFS in the Dutch and Scottish cohorts (P = 0.001 and 0.038, respectively), but not with OS in univariate analysis. In multivariate analysis, when the two groups were combined and account taken of clinical factors and country of origin of the cohort, p53 expression was not an independent prognostic predictor of PFS or OS. In this well-powered study with minimal methodological variability, p53 immunostaining is not an independent prognostic marker of clinical outcome in epithelial ovarian cancer. The data demonstrate the importance of methodological standardisation, particularly defining patient characteristics and survival end-point data, if biomarker data from multicentre studies are to be combined.
引用
收藏
页码:627 / 633
页数:7
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