Mosloflavone from Fissistigma petelotii ameliorates oncogenic multidrug resistance by STAT3 signaling modulation and P-glycoprotein blockade.

BACKGROUND: Oncogenic multidrug resistance (MDR) is a tough question in cancer therapy. However, no effective medications targeting oncogenic MDR are currently available. Studies have demonstrated that mosloflavone exerts anti-inflammatory effects, yet, its potential to ameliorate MDR remains unclear. PURPOSE: This study aimed to access the capability and elucidate molecular mechanisms of mosloflavone as a MDR resensitizing candidate. METHODS: We investigated the ability of mosloflavone to reverse oncogenic MDR and investigated its underlying mechanisms through cytotoxicity assay, cell cycle assay, apoptosis assay, and zebrafish xenograft model. The modulatory interplay between mosloflavone and P-gp was investigated through analysis of calcein-AM uptake, substrate efflux, ATPase assays, and molecular docking simulation. RESULTS: Mosloflavone inhibited P-gp efflux function in an uncompetitive manner without altering ABCB1 gene expression. In addition, it stimulated P-gp ATPase activity by binding to an active site distinct from that of verapamil. Regarding MDR reversal potential, mosloflavone resensitized MDR cancer cells to chemotherapies by arresting cell cycle and triggering apoptosis, possibly by enhancing reactive oxygen species accumulation and reducing phospho-STAT3. Moreover, in the zebrafish xenograft model, mosloflavone significantly potentiated the antitumor effect of paclitaxel. CONCLUSION: Our findings underscore the potential of mosloflavone as a novel dual modulator of STAT3 and P-gp, indicating it is a promising candidate for overcoming MDR in cancer treatment.

Is Robotic Superior to Laparoscopic Approach for Radical Nephroureterectomy with Bladder Cuff Excision in Treating Upper Urinary Tract Urothelial Carcinoma?

Background: Laparoscopic nephroureterectomy (LNU) has become popular in treating upper urinary tract urothelial carcinoma (UTUC) and an emerging trend was observed in robotic approaches. Therefore, we compared robot-assisted radical nephroureterectomy (RANU) and LNU for the treatment of UTUC. Materials and Methods: This observational and retrospective case-series study included UTUC patients who underwent LNU or RANU. A pure laparoscopic approach was adopted in the LNU treatment group, and bladder cuff excision (BCE) was performed mostly with the open approach. Either the da Vinci Si or Xi surgical system was used for RANU. Extravesical BCE was performed, and bladder defects were closed intracorporeally. Perioperative and oncologic outcomes were compared between the LNU and RANU groups. Results: A total of 231 patients who underwent RANU (n = 87) or LNU (n = 144) were included. No significant differences were noted between the groups in terms of demographics, tumor characteristics, operative time, catheter time, or complications. Compared with LNU, RANU had a lower intraoperative blood loss (30 vs. 150 mL, p < 0.001) and shorter postoperative hospital stay (8 vs. 9 days, p = 0.009). The 5-year overall survival, cancer-specific survival, and bladder recurrence-free survival were comparable between the groups. Conclusion: Compared with LNU, RANU had similar perioperative and oncologic outcomes but was superior in terms of intraoperative blood loss and postoperative length of hospital stay. However, considering the potential biases owing to the heterogeneity of our cases, the interpretation of the results must be very cautious.

Combining prostate health index and multiparametric magnetic resonance imaging may better predict extraprostatic extension after radical prostatectomy.

BACKGROUND: In patients undergoing radical prostatectomy (RP) for prostate cancer (PCa), preoperative prediction of extraprostatic extension (EPE) can facilitate patient selection for nerve-sparing procedures. Since both multiparametric magnetic resonance imaging (mpMRI) and prostate health index (PHI) have shown promise for the diagnosis and prognostication of PCa, we investigated whether a combination of mpMRI and PHI evaluations can improve the prediction of EPE after RP. METHODS: Patients diagnosed with PCa and treated with RP were prospectively enrolled between February 2017 and July 2019. Preoperative blood samples were analyzed for PHI (defined as [p2PSA/fPSA] × âˆštPSA), and mpMRI examinations were performed and interpreted by a single experienced uroradiologist retrospectively. The area under the receiver operating characteristic curve (ROC) was used to determine the performance of mpMRI, PHI, and their combination in predicting EPE after RP. RESULTS: A total of 163 patients were included for analysis. The pathological T stage was T3a or more in 59.5%. Overall staging accuracy of mpMRI for EPE was 72.4% (sensitivity and specificity: 73.2% and 71.2%, respectively). The area under the ROC of the combination of mpMRI and PHI in predicting EPE (0.785) was higher than those of mpMRI alone (0.717; p = 0.0007) and PHI alone (0.722; p = 0.0236). mpMRI showed false-negative non-EPE results in 26 patients (16%), and a PHI threshold of >40 could avoid undiagnosed EPE before RP in 21 of these 26 patients. CONCLUSION: The combination of PHI and mpMRI may better predict the EPE preoperatively, facilitating preoperative counseling and tailoring the need for nerve-sparing RP.

Prostate health index density predicts aggressive pathological outcomes after radical prostatectomy in Taiwanese patients.

BACKGROUND: There are models to predict pathological outcomes based on established clinical and prostate-specific antigen (PSA)-derived parameters; however, they are not satisfactory. p2PSA and its derived biomarkers have shown promise for the diagnosis and prognosis of prostate cancer (PCa). The aim of this study was to investigate whether p2PSA-derived biomarkers can assist in the prediction of aggressive pathological outcomes after radical prostatectomy (RP). METHODS: We prospectively enrolled patients who were diagnosed with PCa and treated with RP between February 2017 and December 2018. Preoperative blood samples were analyzed for tPSA, free PSA (fPSA), percentage of fPSA (%fPSA), [-2]proPSA (p2PSA), and percentage of p2PSA (%p2PSA). Prostate health index (PHI) was calculated as (p2PSA/fPSA) × âˆštPSA. Prostate volume was determined by transrectal ultrasound using the ellipsoid formula, and PHI density was calculated as PHI/prostate volume. The areas under the receiver operating characteristic curve were estimated for various PSA/p2PSA derivatives. Aggressive pathological outcomes measured after RP were defined as pathological T3 or a Gleason score (GS) >6 as determined in RP specimens. RESULTS: One hundred and forty-four patients were included for analysis. Postoperative GS was >6 in 86.1% of the patients, and pT stage was T3a or more in 54.2%. Among all PSA- and p2PSA-derived biomarkers, PHI density was the best biomarker to predict aggressive pathological outcomes after RP. The odds ratio of having an aggressive pathological outcome of RP was 8.796 (p = 0.001). In multivariate analysis, adding %fPSA to base model did not improve the accuracy (area under curve), but adding PHI and PHI density to base model improved the accuracy by 2% and 16%, respectively, in predicting pT3 stage or GS ≥ 7. The risk of pT3 stage or GS ≥ 7 was 20.8% for PHI density <1.125, and 64.6% for PHI density >1.125 (sensitivity: 74.6% and specificity: 88.9%). CONCLUSION: PHI density may further aid in predicting aggressive pathological outcomes after RP. This biomarker may be useful in preoperative counseling and may have potential in decision making when choosing between definitive treatment and active surveillance of newly diagnosed PCa.