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Biochemistry, Cell and Molecular Biology

The research of the application of a new urinary biomarker PCA-M of prostate cancer (PSA from 4 to 20 ng/ml)

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Pages 234-239 | Received 16 Jun 2021, Accepted 02 Feb 2022, Published online: 14 Feb 2022

Figures & data

Table 1. General data of pyrophosphate sequencing.

Figure 1. Bioinformatics analysis of PRKY and TGIF2LY expression in prostate cancer. The expression of PRKY was high in cancer tissues and low in normal tissues, and the difference was statistically significant (P < 0.001, Figure (A)). The expression of TGIF2LY in prostate cancer tissues was significantly lower than that in normal tissues (P < 0.001, Figure (B)).

Figure 1. Bioinformatics analysis of PRKY and TGIF2LY expression in prostate cancer. The expression of PRKY was high in cancer tissues and low in normal tissues, and the difference was statistically significant (P < 0.001, Figure 1(A)). The expression of TGIF2LY in prostate cancer tissues was significantly lower than that in normal tissues (P < 0.001, Figure 1(B)).

Table 2. The clinical characteristics of the two groups of patients.

Figure 2. The ROC for urine PCA-M DNA in diagnosis of PCa. The AUC of PRKY, TGIF2LY, f/t PSA, PSAD was 0.8636, 0.9352, 0.6395, 0.6417, respectively.

Figure 2. The ROC for urine PCA-M DNA in diagnosis of PCa. The AUC of PRKY, TGIF2LY, f/t PSA, PSAD was 0.8636, 0.9352, 0.6395, 0.6417, respectively.

Data availability statement

All the original data of this study can be accessed from https://figshare.com/s/b2786bd44a844ba9b9c5. Publicly available data was also obtained from the UCSC Xena (https://xena.ucsc.edu/) TCGA database, reference [GDC TCGA Prostate Cancer (PRAD)].