Table 4.

Demographics of the 31 test set individuals separated from the Blume et al. 141 individual high dimensional proteomics dataset to assess generalizability in unseen data of DEcancer machine learning framework in distinguishing cancer-free from early non-small cell lung cancer patients via proteins measured using depleted plasma and nanoparticle corona spion approaches

	Cancer-free (n = 18)	Non-small cell lung cancer (n = 13)
Number of males, n (%)	6 (33)	6 (46)
Mean (standard deviation) age, years	64 (8)	63 (8)
Number of each stage of cancer, n (%)
Stage 1	N/A	5 (38)
Stage 2		2 (15)
Stage 3		6 (46)