Recently, roles of Delta-like 4 (Dll4)-Notch signaling in angiogenesis have been demonstrated by a series of reports (Ridgway et al., 2006;Hellstrom et al., 2007;Siekmann and Lawson, 2007;Suchting et al., 2007). Murine retina heterozygous for a null mutation of the Dll4 gene showed excessive branching and this was recapitulated by administering a -secretase inhibitor, Development 138, 4763-4776 (2011Development 138, 4763-4776 ( ) doi:10.1242 SUMMARYAngiogenesis is a complex process, which is accomplished by reiteration of modules such as sprouting, elongation and bifurcation, that configures branching vascular networks. However, details of the individual and collective behaviors of vascular endothelial cells (ECs) during angiogenic morphogenesis remain largely unknown. Herein, we established a time-lapse imaging and computer-assisted analysis system that quantitatively characterizes behaviors in sprouting angiogenesis. Surprisingly, ECs moved backwards and forwards, overtaking each other even at the tip, showing an unknown mode of collective cell movement with dynamic 'cell-mixing'. Mosaic analysis, which enabled us to monitor the behavior of individual cells in a multicellular structure, confirmed the 'cell-mixing' phenomenon of ECs that occurs at the whole-cell level. Furthermore, an in vivo EC-tracking analysis revealed evidence of cell-mixing and overtaking at the tip in developing murine retinal vessels. In parametrical analysis, VEGF enhanced tip cell behavior and directed EC migration at the stalk during branch elongation. These movements were counter-regulated by EC-EC interplay via -secretase-dependent Dll4-Notch signaling, and might be promoted by EC-mural cell interplay. Finally, multiple regression analysis showed that these molecule-mediated tip cell behaviors and directed EC migration contributed to effective branch elongation. Taken together, our findings provide new insights into the individual and collective EC movements driving angiogenic morphogenesis. The methodology used for this analysis might serve to bridge the gap in our understanding between individual cell behavior and branching morphogenesis.

BackgroundThis study compared the detection rates for clinically significant prostate cancer (CSPC) between magnetic resonance imaging and ultrasonography (MRI/US)-fusion-targeted biopsy (TB), systematic biopsy (SB) and combination of TB and SB.MethodsThis prospective study evaluated simultaneous TB and SB for consecutive patients with suspicious lesions that were detected using pre-biopsy multiparametric MRI. A commercially available real-time virtual sonography system was used to perform the MRI/US-fusion TB with the transperineal technique. The prostate imaging reporting and data system version 2 (PI-RADS v2) was assigned to categorize the suspicious lesions.ResultsA total of 177 patients were included in this study. The detection rate for CSPC was higher using SB, compared to TB (57.1% vs 48.0%, p = 0.0886). The detection rate for CSPC was higher using the combination of TB and SB, compared to only SB (63.3% vs 57.1%, p = 0.2324). Multivariate analysis revealed that PIRADS v2 category 4 and an age of <65 years were independent predictors for TB upgrading (vs. the SB result).ConclusionsPI-RADS v2 category 4 and an age of <65 years were predictive factors of upgrading the Gleason score by MRI/US-fusion TB. Thus, MRI/US-fusion TB may be appropriate for patients with those characteristics.Trial registrationThis study was retrospectively registered at the University Hospital Medical Information Network (UMINID000025911) in Jan 30, 2017.

Objectives To evaluate the detection rates of clinically significant prostate cancer classified according to the prostate imaging reporting and data system scoring system using magnetic resonance imaging/ultrasound rigid fusion targeted biopsy. Methods A total of 339 patients underwent transperineal magnetic resonance imaging/ultrasound rigid fusion targeted biopsy in our institution between January 2015 and July 2017. Patients with prostate imaging reporting and data system category 1 or 2 and those with a pre‐biopsy prostate‐specific antigen value of >30 ng/mL were excluded from this study. Finally, 310 patients were recruited. Results The detection rates of clinically significant prostate cancer with prostate imaging reporting and data system category 3, 4, and 5 were 1.0% (1/98), 35.1% (47/134) and 73.1% (57/78), respectively. The factors affecting the detection of clinically significant prostate cancer with prostate imaging reporting and data system categories 4 and 5 were: (i) prostate imaging reporting and data system category 5; (ii) prostate volume <40 cc; (iii) no previous biopsy; (iv) lesion located in the peripheral zone; and (v) prostate‐specific antigen density >0.35 ng/mL/mL. Conclusions The detection rate of clinically significant prostate cancer on magnetic resonance imaging/ultrasound rigid fusion targeted biopsy is very low in patients with prostate imaging reporting and data system category 3; therefore, patients with this classification should not undergo targeted biopsy. Prostate‐specific antigen density, prostate volume, locations of suspected cancer and history of biopsy should be considered to predict the detection rate of clinically significant prostate cancer with prostate imaging reporting and data system categories 4 and 5.

Background The objective of this study is to investigate the clinical significance and risk factors of upgrading in the International Society of Urological Pathology (ISUP) Grade Group System in men undergoing robot-assisted radical prostatectomy (RARP) for prostate cancer. Methods A total of 583 patients diagnosed with prostate cancer by systematic biopsy were treated with RARP without neoadjuvant therapy from November 2011 to December 2018. Clinicopathological data were obtained from our clinical records. ISUP grade upgrading (IGU) was defined as ‘ISUP grade in prostatectomy specimen determined to be higher than that in the biopsy specimen’. Clinicopathological factors, including age, PSA, prostate volume at biopsy (PV), PSA density, clinical stage, body mass index (BMI), interval from biopsy to prostatectomy, maximum percentage of cancer involvement per core (%CI), total number of biopsy cores, percentage of cancer positive biopsy cores (%PC), and sampling density were analyzed to detect potential risk factors of IGU. Biochemical recurrence (BCR) rates were calculated to analyze the effect of IGU on cancer prognosis. Results In univariate analysis, BMI was a positive predictor of IGU, while %CI, %PC, and sampling density were negative predictors of IGU. BMI and %PC were statistically significant predictors of IGU in multivariate analysis. For cases diagnosed as ISUP grade group 2 or higher at biopsy, there was a significant difference in BCR rates between cases with and without IGU. Conclusions The results from our cohort showed that elements of both high-grade cancer risk (such as BMI) and sampling efficiency (such as %PC) contribute to IGU. Excluding cases diagnosed as ISUP grade group 1 at biopsy, BCR-free rates were significantly worse in cases with IGU, highlighting the need for more accurate pathological diagnosis at biopsy.

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