235 Background: The management of locally advanced pancreatic cancer (LAPC) patients remains controversial and complex. Better discrimination for Overall Survival (OS) is needed to improve therapeutic decisions. We address this issue, with the largest Phase III cohort of LAPC, by establishing the first prognosis model for OS with the full spectrum of parameters currently available at diagnosis. Methods: We enrolled 442 LAPC patients recruited in LAP07, an international multicenter randomized phase III trial (NCT00634725). 30 baseline variables among demographic, cancer history, clinical, biological and radiological parameters were evaluated in univariate and multivariate analyses as prognostic factors for OS. The predictive value of the final model was evaluated with Harrell’s C index. This analysis was repeated 1,000 times with the use of bootstrap sample to derive 95%CI for the C. A prognostic score and nomogramm were then developed based on the identified prognostic factors in the final model. Results: Independent prognostic factors identified in multivariate analysis (n=370) for OS were: Age (HR= 1.01; 95%CI 1.00 - 1.03; p=0.0418), Pain (HR= 1.36 ; 95%CI 1.08 - 1.71; p=0.0094), Albumin (HR= 0.96; 95%CI 0.94 - 0.98; p=0.0001), and RECIST size (HR= 1.01; 95%CI 1.00 - 1.02; p=0.0033), Harrell’s C-statistic for the final model was 0.60 (95% bootstrap CI 0.56 0.63). A prognostic score between 0 and 4 was then calculated for each patient, based on the previous model. Three risk-groups for death could be identified: lower risk (n=17; median OS time = 18.8 months; group of reference); intermediate risk (n=166 ;median OS time = 13.4 months; HR=1.7); higher risk (n=187 ; median OS time = 11.8 months; HR=2.1); p = 0.0101 by the global log rank test. A score and nomogramm were also developped with the addition of CA19.9 information. Conclusions: Our results highlighted 4 OS’s independent pronostic factors among a broad spectrum of parameters at time of diagnosis. We identified 3 groups with different OS’s prognosis profile. The determination of this simple prognostic score allows risk stratification that may help guiding clinical management of patients and the design for future clinical trials.