9638 Background: Little is known about demographic variations in cancer symptom clusters (SC). Our objective was to determine whether SC are associated with age, gender, race, performance status (PS), or primary cancer site. Methods: Symptoms from 1000 advanced cancer patients referred to a palliative medicine program were recorded prospectively. Among 922 patients with complete symptom data, hierarchical cluster analysis identified 7 SC. A SC was considered present if the patient had ≥50% of the symptoms in the cluster. Comparisons were made between patients with and without each cluster using the chi-square test (age <65 vs. ≥65 years; gender female (F) vs. male (M); race Caucasian (C) vs. African American (AA); 10 primary site groups (PSG), or Wilcoxon rank sum test (ECOG PS 0-4). A p value <0.05 indicated statistical significance. Results: 83% of patients were C, 52% ≥65 years, 56% M, and 55% had ECOG PS 3-4 Most common PSG were lung (25%), genitourinary (18%), and gastrointestinal (GI) (11%). Fatigue/anorexia-cachexia cluster was associated with race (58% AA vs. 68% C, p=0.032) and PSG (range 47% melanoma to 83% pancreas, p=0.012); Neuropsychological cluster was associated with older age (29% ≥65 vs. 39% <65, p<0.001) and race (22% AA vs. 36% C, p=0.001). Upper GI cluster was associated with female gender (16% M vs. 22% F, p=0.035) and PSG (range 8% Head & Neck to 32% pancreas, p=0.035). Nausea/Vomiting cluster was associated with younger age (35% ≥65 vs. 43% <65, p=0.010) and female gender (33% M vs. 47% F, p<0.001). Aerodigestive cluster was associated with male gender (36% F vs. 44% M, p=0.010) and PSG (range 24% pancreas to 58% Head & Neck, p<0.001). Debility cluster was associated with race (33% AA vs. 44% C, p=0.016) and poor PS (range 17% PS0 to 54% PS4, p<0.001). Pain cluster was associated with younger age (88% ≥65 vs. 92% <65, p=0.028). Conclusions: We identified 7 SC whose prevalence were influenced by age, gender, race, PS, or primary cancer site. This supports the clinical relevance of the cluster concept in palliative and supportive care. Demographic characteristics may warrant different clinical approaches to patient care. Identification of these differences may help develop more effective cancer treatment and management strategies.