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[Significance of PCNA proliferating fraction for prognosis of ovarian carcinoma].

作者信息

Schönborn I, Minguillon C, Reles A, Bartel U, Lichtenegger W

机构信息

Frauenklinik Standort Charlottenburg, Virchow-Klinikum, Medizinische Fakultät, Humboldt-Universität zu Berlin.

出版信息

Geburtshilfe Frauenheilkd. 1996 Jul;56(7):357-64. doi: 10.1055/s-2007-1023268.

Abstract

The prognostic value of the PCNA-proliferative fraction as compared to conventional clinical and histomorphological factors (FIGO-stage, tumour type, histological grading, lymph node status, size of residual tumour) was investigated in 81 ovarian cancer patients. Categorisation of PCNA-expression into tumours with low and high proliferative activity (< 20%/ > or = 20% according to laboratory standards) had the highest prognostic value. Categorisation on the basis of the median value (< or = 34%/> 34%) or classification of PCNA as a continuous variable did not prove advantageous. PCNA-proliferative fraction was significantly directly correlated with histological grading (p = 0.006). Tumours with a high PCNA expression had a greater frequency of macroscopically detectable residual tumours. In univariate survival analyses patients with highly proliferating tumours had a worse outcome than patients with tumour of low proliferation (PCNA </> or = 20%/20%, p = 0.012; PCNA < or = 34%/ > 34%, p = 0.08). The result was consistent in subgroup of FIGO III-tumours (p = 0.031, PCNA < 20%/> or = 20%), of FIGO l-tumours (p = 0.036, PCNA < 20%/> or = 20%), of carcinomas without post-operative residual tumour (p = 0.03 PCNA < 20%/> or = 20%) and also of FIGO III-tumour without residual tumours (p = 0.041 PCNA < 20%/> or = 20%). Multivariate survival analysis comprising all the patients revealed PCNA expression (< 20%/> or = 20%) as an independent prognostic factor second to the size of the residual tumour. In patients with FIGO III-tumours PCNA proves significant as an independent factor after the size of the residual tumour was removed from the model. Thus, PCNA provides additional information which may prove beneficial in determining prognostic estimates for ovarian cancer.

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