Relationship of p53 Genotype to Second-look Recurrence and Survival in Ovarian Epithelial Malignancy.

Background: Clinical stage at presentation and tumor status at second-look laparotomy are currently the best predictors of patient survival in epithelial ovarian carcinoma (EOC). Methods and Results: To evaluate the predictive value of genetic analysis, the presence and type of p53 mutation (p53 genotype) was determined in 76 patients treated for EOC between 1987 and 1992 and subjected to second-look laparotomy following initial treatment. Mutational analysis of p53 was performed retrospectively by means of topographic genotyping (TG), using formalin-fixed, paraffin-embedded tissue of the primary and recurrent tumor. In TG, minute tissue samples were dissected from unstained histologic sections, amplified for p53 exons 5-8 with the polymerase chain reaction (PCR), and then direct sequenced. The p53 genotype was correlated with tumor stage, histologic grade and type, tumor status at second look, and survival at 3 and 5 years. Mutational change involving p53 exons 5-8 was found in 41 of 76 tumors (54%), consisting of 29 cases manifesting missense alterations and 12 cases having truncations (deletions, insertions, or stop codons). Tumor mutational change for each patient was strictly limited to a single type, being identical in all recurrences of an individual primary cancer. Mutations of p53 were distributed over exons 5-8, with certain "hot spots" being evident (codons 220, 245, and 273). Mutational change was present in all stages of primary EOC, but was relatively more frequent in tumors of advanced stage (III and IV). Epithelial ovarian carcinoma manifesting p53 mutational damage was significantly more likely to show recurrence at second-look laparotomy (P <.001) and to have shorter survival at the 3- and 5-year follow-up (P <.001) evaluation. The predictive value of p53 genotype was independent of stage at presentation, histologic grade, or histopathologic type. Conclusions: Genotyping of p53 provides useful information on tumor aggressiveness and is an informative predictive marker of biologic tumor behavior, treatment response, and survival in EOC.