e15561 Background: Comorbidity as a prognostic marker has been reported in several solid tumors. We examined whether co-morbidity indices predict survival in Veterans with metastatic renal cell carcinoma (RCC) who were treated with signal transduction inhibitors. Methods: In an IRB-approved protocol, we reviewed the records of patients (Pts) diagnosed with RCC at a VA Medical Center from 1/1/2000 to 12/31/2011. Age, ECOG Performance Status (ECOG PS), Hemoglobin (Hgb), Albumin (Alb), Corrected Calcium (CCa), history of Nephrectomy, and histology (clear cell (CC) vs. non clear cell (NCC)) were abstracted. Co-morbidity was assessed with Charlson Comorbidity Index (CCI), and the Kaplan-Feinstein Index (KFI). We developed a survival model with age, ECOG PS, Hgb, Alb, CCa, history of nephrectomy, and histology. Co-morbidity indices were tested by determining if they were independent predictors of survival after inclusion in this model. Cox regression analyses were performed with SAS V9.2. Results: There were 24 Pts;6 (25%) are alive. The Median (M) age when seen at VA was 64 years (54-85). The M Hgb level was 12.1g/dL (6.7-16.5), Alb was 4.1g/dL (2.8-5.0), and CCa was 9.19mg/dL (7.9-12.5). The M CCI was 4.2 (1.4-12.0) and KFI was 2.0 (1-3). The M Survival was 823 days (24-3482). 17(68%) pts had clear cell carcinoma and 18(72%) had nephrectomies Median ECOG PS was one range(0-4). The median number of treatments was 2, range 1-7. Results of univariate analyses with co-morbidity indices were significant for age (p < ,029) and history of nephrectomy p< .068). There were no multivariate predictors of survival. Conclusions: In the univariate analysis, ECOG PS as well as Nephrectomy status were significant predictors for M survival. CCI and KFI did not predict M survival. In distinction to other solid tumor histologies where chemotherapy is used, KFI and CCI in RCC may not be associated with overall survival due to either RCC histology or use of signal transduction inhibitors as treatment. Confirmatory studies should be done in larger populations. This was supported by the New Jersey Commission for Cancer Research.