Identifying brain tumor patients' subtypes based on pre-diagnostic history and clinical characteristics: a pilot hierarchical clustering and association analysis.

Patients in Cluster 1 (N=26) were more frequently men (100% vs 17% in Cluster 2; p<0.0001) and smokers (80.8% vs 24.4%; p<0.0001), generally less educated (up to secondary education level: 46.1% vs 34.1%; p = 0.032) and mostly inactive workers (retired: 53.8% vs 17.1%; p<0.0001), with a lower income (≥25.000 Euros/year: 50.0% vs 26.8%; p = 0.002) and a marginal trend toward an older age (mean (SD) age: 60.7(13.3) vs 54.1(14.8); p = 0.061).

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