Identification of predicting factors for DLBCL outcomes. (A) Schematic representation of overall study design. Thirty cases of newly diagnosed DLBCL were recruited for a pilot screen using nCounter and RNA-seq methods, followed by analysis of 2 larger nCounter cohorts (training and validation cohort). (B) GO analysis of candidate prognostic genes from the pilot screen, which was performed using the Metascape web application (http://metascape.org). Enriched GO terms are shown by ID, category, and derived pilot cohort. Probabilities (adjusted P values) are depicted by color. Most prognostic genes were linked to immune-related terms, irrespective of source. (C) A volcano plot indicates differentially expressed genes as favorable (left) and poor (right) prognostic factors in the training cohort. Most unfavorable indicators were cell cycle-related (magenta). Note that many microenvironmental cell-related genes were associated with favorable prognoses. A Mann-Whitney U test (unpaired) with bootstrap was performed to calculate P values.