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. 2017 Oct 30;23:5176–5183. doi: 10.12659/MSM.906680

Figure 1.

Figure 1

Identification of genes expressing abnormalities in PCa by bioinformatics analysis from the Oncomine database. The top 20 candidate genes expression were found to be decreased (A) and the top 20 candidate genes expression were found to be increased in tumor samples by analyzing these 4 independent microarrays. (B): (1) Liu Prostate Statistics, 44 cases of prostate carcinoma and 13 prostate gland tissues; (2) Vanaja Prostate Statistics, 27 cases of prostate adenocarcinoma and 8 cases of prostate gland tissues; (3) Varambally Prostate Statistics, 7 cases of prostate carcinoma and 6 cases of prostate gland tissues; (4) Wallace Prostate Statistics, 69 cases of prostate adenocarcinoma and 20 cases of prostate gland tissues. The rank for a gene is the median rank among 4 microarrays.