Exact(19)
Localized PCa (Stage A + B + C) versus Metastatic PCa (Stage D) P = 0.931 and 0.005 by the chi-square test for 149 T/C and 950T/C, respectively.
This study has illustrated the inability of the current clinical variables to accurately predict PCa stage.
Tobacco smoking characteristics by PCa stage and race/ethnicity are presented in Table S1.
The C allele was found at a significantly lower frequency in patients with metastatic (stage D) and extraprostatic PCa (stage C+D) than in patients with localized (stage A+B+C) and organ confined PCa (stage A+B) (Table 2).
Prostate MRI has long time been used to assess PCa stage only, after positive biopsies, in selected patients.
This proof of principle study demonstrates a novel association of carcinogenic and tumourigenic gene expression with PCa stage and prognosis.
Similar(39)
Computed tomography (CT) is a commonly used noninvasive procedure for prostate cancer (PCa) staging.
Therefore, we developed an innovative optimization method to select a proper data preprocessing strategy for metabolomic data fusion using a design of experiment approach for improving the classification of prostate cancer (PCa) stages.
Using the fused metabolomic data from urine and serum, PLS-DA model with the optimal data preprocessing (R2 = 0.729, Q2 = 0.504, P < 0.0001) can effectively improve model performance and achieve a better classification result for PCa stages as compared with that without data preprocessing (R2 = 0.139, Q2 = 0.006, P = 0.450).
Following this data reduction was carried out through two principal component analysis (PCA) stages which enables analysis of large data sets [20].
Real-time elastography seems to offer new potential in PCa staging, compared with radical prostatectomy findings.
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