Table 2.

Features selected for systems pathology clinical failure models, in order of weighted importance. AR: androgen receptor, AMACR: α-methyl CoA racemase

Systems Pathology Model #1
1) Biopsy Gleason sum 2) Texture variation within cytoplasm 3) Lymph node involvement 4) Relative area of epithelial nuclei 5) Mean brightness of cytoplasm 6) Pre-op PSA 7) Prostatectomy Gleason sum 8) Variation of color between cytoplasm 9) Mean brightness of AR in AR+/AMACR+ epithelial nuclei 10) Surgical margins 11) Variation of color between cytoplasm
Systems Pathology Model #2
1) Mean brightness of cytoplasm 2) Biopsy Gleason sum 3) Lymph node involvement 4) Texture variation in stroma 5) Color variation between epithelial nuclei 6) Prostatectomy Gleason sum 7) Mean brightness of AR in AR+/AMACR+ epithelial nuclei