Microarray analysis identifies a death-from-cancer signature predicting therapy failure in patients with multiple types of cancer
J. Clin. Invest. Gennadi V. Glinsky, et al. 115:1503 doi:10.1172/JCI23412 [Go to this article.]

Figure 4
Selection of the best-performing small signature based on evaluation of the metastatic-phenotype-discrimination performance and therapy-outcome prediction power of candidate prognostic signatures. Expression profiles of the 3 small signatures (11-gene MTTS/PNS signature, A–C; 11-gene MTTS/CNS signature, D–F; and 14-gene MTTS/PNS/CNS signature, G–I) were evaluated in metastatic lesions at multiple distant target organs and primary prostate carcinomas in the TRAMP transgenic mouse model of prostate cancer (A, D, and G) and prostate cancer patients (B, E, and H) for presence of a stem cell–like expression profile. (B, E, and H) Data from the analysis of 9 distant metastatic lesions and 23 primary human prostate carcinoma samples. (C, F, and I) Kaplan-Meier analysis of the probability that patients would remain disease-free among 21 prostate cancer patients constituting clinical outcome set 1, according to whether they had a good-prognosis or a poor-prognosis signature as defined by the expression profiles of the small prognostic signatures. The y axes in A, B, D, E, G, and H show the SPAI values in corresponding metastatic and primary tumor samples (see Methods for a description of SPAI definition and calculation). CI, confidence interval.