UNASSIGNED: 4660 Background: The 2 most popular prognostic systems for @entity1 with @entity1358 ( @entity1358 ) are MSKCC and French Group of Immunotherapy (FGI) models. Both systems have initially been established by using cohorts of @entity1 treated with cytokines. No direct comparison of these 2 models has been published so far in the modern era of targeted therapies. Our goal was to compare their effectiveness in predicting @entity1349 ( @entity1349 ) in @entity1358 @entity1 treated with anti-angiogenic drugs. METHODS: Based on an international cohort of 965 @entity1358 @entity1 from 18 tertiary care centers treated with systemic treatment, we assessed @entity1349 in univariate @entity797 regression according to both prognostic models stratification. Then, variables of each model were compared in multivariate @entity797 regression. Area under the curve (AUC) of both model was also calculated. RESULTS: Median @entity1349 for the entire population was 31.8 months. Both systems were able to distinguish 3 groups with statistically significantly different survivals. Median @entity1349 in good, intermediate and poor prognostic group were 45.9, 23.5, 13.5 months and 50.9, 33.4, 13.5 months in MSKCC and FGI models, respectively. In multivariate @entity797 regression analysis, 3 out of the 5 variables of MSKCC model achieved independent prognostic value (haemoglobin level (HR=1.79, p=0.001), LDH elevation (HR=4.3; p=0.001) and Performance Status (HR=1.71; p=0.006). Similarly, 3 out of the 5 variables of the FGI model achieved independent prognostic status (haemoglobin level (HR=1.74; p=0.04); number of @entity3 (HR=2.2; p=0.008) and performance status (HR=2.12; p=0.006). AUC of MSKCC and FGI models were 0.57 and 0.65, respectively. When focusing on 369 @entity1 who received @entity2240 as first line treatment, AUC of MSKCC and FGI models were 0.66 and 0.75, respectively. CONCLUSIONS: MSKCC and FGI are both effective prognostic models in predicting @entity1349 in @entity1358 @entity1 treated in the contemporary period. However, based on our data, FGI model seems to exhibit a better predictive accuracy than MSKCC model. The prognostic role of FGI model should be therefore revisited in the era of targeted therapies.

Comparison of two major prognostic models for @entity1 with XXXX treated in the contemporary era of targeted therapies.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity2240 :: ('MESH:C473478', 'Chemical') :: ['sunitinib'] @entity797 :: ('1351', 'Gene') :: ['Cox'] @entity1358 :: ('MESH:D002292', 'Disease') :: ['mRCC', 'metastatic renal cell carcinoma'] @entity3 :: ('MESH:D009362', 'Disease') :: ['metastasis'] @entity1349 :: ('MESH:D011475', 'Disease') :: ['OS', 'overall survival']
@entity1358 :: (MESH:D002292,Disease) :: ['metastatic renal cell carcinoma']
