Does plasma thiol and disulphide be a new marker for prostate cancer in prostate-specific antigen level between 10 and 20 ng/ml?

LncRNA NR2F2-AS1 positively regulates CDK4 to promote cancer cell proliferation in prostate carcinoma

We in this study investigated the role of lncRNA NR2F2-AS1 in prostate carcinoma (PC). We showed that NR2F2-AS1 was upregulated in PC and positively correlated with CDK4. In PC cells, NR2F2-AS1 overexpression led to upregulated, while NR2F2-AS1 siRNA silencing led to downregulated CDK4. Follow-up study revealed that high levels of NR2F2-AS1 and CDK4 in PC tissues were closely correlated with the poor survival of PC patients. Cell proliferation data showed that NR2F2-AS1 overexpression led to increased, while NR2F2-AS1 siRNA silencing led to proliferation rate of PC cells. Moreover, NR2F2-AS1 also showed positive effects on cell cycle progression. In addition, CDK4 overexpression reduced the effects of NR2F2-AS1 siRNA silencing. Therefore, NR2F2-AS1 positively regulates CDK4 to promote cancer cell proliferation in PC.

How can we predict the active surveillance candidates meeting all Epstein criteria prior to prostate biopsy to avoid overdiagnosis?

OBJECTIVE

To investigate the effectiveness of PSA, prostate volume (PV) and free-to-total PSA ratio (fPSA%) in predicting patients meeting all active surveillance criteria, including Epstein criteria.

METHOD

Retrospective analysis was made of the data of 1901 men who underwent transrectal ultrasound (TRUS)-guided prostate biopsy in our clinic between January 2015 and December 2019. The active surveillance criteria were determined as Gleason score ≤6, when specified ≤2 positive cores with <50% cancer involvement in every positive core, a clinical T1c, a PSA <10ng/mL and a PSA density <0.15 ng/mL/cc. Patients who met all active surveillance criteria were included in Group 1, and other patients with prostate cancer were included in Group 2.

RESULTS

The study included 336 patients with available data of age, total-free PSA levels, PV calculated by TRUS. Group 1 consisted of 82 patients and Group 2 consisted of 254 patients. PV and fPSA% were significantly higher and PSA was significantly lower in Group 1 than in Group 2. On multivariate analysis, the independent predictors were determined to be PSA and PV while fPSA% was not.

CONCLUSION

By using PSA and PV in predicting patients meeting all active surveillance criteria, unnecessary biopsies and ultimately overdiagnosis can be reduced.