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. 2015 Jan 26;14(4):1127–1136. doi: 10.1074/mcp.M114.043364

Fig. 7.

Fig. 7.

Plasma microparticle-based proteomic signature of prostate cancer patients. A, Principal component analysis (PCA) of healthy donors samples and samples derived from prostate cancer patients segregates between the two groups. B, Receiver operating characteristic curve shows high predictive power for the selected protein signature of biomarkers for prostate cancer diagnosis. C, The fold changes of the three proteins that comprise the predictive biomarkers. Values are in log2 normalized ratio L/H.