Fig. 5: Pan-cancer protein panel and multiclassification of the pan-cancer test cohort.
From: Next generation pan-cancer blood proteome profiling using proximity extension assay
a Nework visualization of proteins included in the panel. Protein nodes are colored according to the importance score in the specific cancer. b Summarized expression profiles of panel proteins across the cancer types. For each protein, the scaled expression is calculated as the average NPX per cancer which is rescaled between 0 and 1. c Summary of the AUC for the different cancers based on models run with four different protein selections. “Top 1” and “top 3” refers to the one or three proteins with the highest importance scores for each of the individual 12 cancers models ran in the previous step, respectively, resulting in sets of 12 and 36 proteins as input to the multiclassification model. d Cancer probabilities for samples in the test set in the pan-cancer classification model using the panel of 83 proteins. Source data are provided as a Source data file. AML acute myeloid leukemia, CLL chronic lymphocytic leukemia, DLBCL diffuse large B-cell lymphoma.
