PURPOSE Bevacizumab (BEV) is considered an effective treatment option for advanced ovarian carcinoma. However, to date, there are no biomarkers that define a BEV-responsive patient subpopulation. METHODS In the context of the MITO16A/MaNGO OV-2 trial, a phase IV study of chemotherapy combined with BEV in first-line treatment of advanced ovarian carcinoma, we evaluated TP53 mutations by next generation sequencing (NGS) and p53 protein expression by immunohistochemistry (IHC) on 202 and 311 cases, respectively. We further correlated NGS and IHC data with clinicopathological characteristics and survival of patients. RESULTS TP53 mutations of unknown function (named unclassified), mostly of the missense type, represented the majority of variants in our population (44.4%) and were associated with a significantly improved overall survival both in univariate (p=0.03, HR=0.43) and multivariate analysis (p=0.012, HR=0.39). Concordance between TP53 mutational analysis and protein expression was 91%. A trend toward improved OS was observed in patients with p53 IHC overexpression (HR=0.70, p=0.15) compared to p53 wild-type patients. CONCLUSION Our results indicate that the presence of unclassified TP53 mutations has favorable prognostic significance in patients with ovarian carcinoma receiving upfront BEV plus chemotherapy. In particular, unclassified missense TP53 mutations characterize a subpopulation of patients with a significant survival advantage, independently of clinicopathological characteristics. Our findings warrant future investigations to confirm the prognostic impact of TP53 mutations in BEV-treated ovarian carcinoma patients and deserve to be assessed for their potential predictive role in future randomized clinical studies.