145 research outputs found

    Molecular strategies to reduce unnecessary repeat prostate biopsies of men with elevated serum PSA

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    Prostate cancer (PCa) is the most common cancer in men. It is a heterogeneous disease and currently there are no reliable biomarkers available to stratify men for prostate biopsy (PBx) and treatment. Hence, there is a risk of over-diagnosing insignificant disease, or under-diagnosing significant disease. We aimed to evaluate FDA approved Prostate Cancer gene 3 (PCA3, FDA approved) and N6-methyladenosine (m6A) for diagnostic properties. PCA3 is a long non-coding RNA (ncRNA) that is unstable, has an unclear biological role and is expensive to chemically treat to prevent degradation prior to analysis. Furthermore, the biological role of this RNA is unclear. Long ncRNAs are degraded into shorter forms, we explored whether this was the fatecase for PCA3. We identified a short segment of RNA within intron 1 of PCA3 bioinformatically which we termed PCA3 short RNA2 (PCA3-shRNA2). The and showed that PCA3-shRNA2 expression of this short RNA correlated to that of PCA3 in PCa cell lines, urinary samples and PBx tissue. PCA3-shRNA2 was overexpressed in urinary samples obtained from men with PCa compared to BPH, was regulated by testosterone and had a diagnostic accuracy similar to that of PCA3. We identified oncogenic mRNA targets of PCA3-shRNA2 and that are involved in oncogenesis and found that COPS2 was underexpressed in cancerous urinary samples. There are over a hundred RNA modifications described and methylation of N6-adenosine base is the most common methylated site. m6A is reversible and may be, involved in oncogenesis. and has recently been mapped throughout the transcriptome. We profiled m6A in PCa cell lines by immunoprecipitation and RNA sequencing, and found interesting oncogenic RNAs (e.g. PARG,) that were differentially expressed in LNCaP-LN3 cells. We identified a novel RNA within PCA3 that is stable, easy to measure, overexpressed in PCa samples and appeared to target oncogenic mRNAs. We profiled m6A in PCa cell lines and have identified important N6-adenosine methylated RNAs associated with PCa development. In conclusion PCA3-shRNA2 and m6A have evolving roles in cancer and may function well as biomarkers

    APOLAS - More Accurate Areal Precipitation Over Land and Sea

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    Long-term feild comparisons of four progressive precipitation sensors demonstrate their superior performance. Measurements yield differences in cloud micro physics between land and sea and between surface and higher altitutdes. A pattern recognition algorithm based on CAPPI-fields of Rostock weather radar was developed to separate convective from stratiform rain area

    Annual educational expenses of European urology residents and the role of sponsorship in urology training: a survey-based analysis.

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    Introduction The aim of this article was to evaluate the personal monetary costs associated with the urology residency. Material and methods The European Society of Residents in Urology (ESRU) designed a 35-item survey and distributed it via email and social media to urology residents in Europe.Monthly net salary and educational expenses (general expenses, literature, congresses and courses) and opinions regarding sponsorship and expenditure were evaluated. Comparisons between different countries and salary cut-offs were made. Results A total of 211 European urology residents completed the survey from 21 European countries. The median interquartile range (IQR) age was 30 (18-42) years and 83.0% were male. A total of 69.6% receive less than €1500 net per month and 34.6% spent ≥€3000 on education in the previous 12 months. Sponsorships came mainly from the pharmaceutical industry (57.8%), but 56.4% of trainees thought that the ideal sponsor should be the hospital/urology department. Only 14.7% of respondents stated that their salary is sufficient to cover training expenses, and 69.2% agreed that training costs have an influence on family dynamics. Conclusions Personal expenses during training are high, are not sufficiently covered by the salary and impact family dynamics for a majority of residents in Europe. The majority thought that hospitals/national urology associations should contribute to the educational costs. For homogeneous opportunities across Europe, institutions should strive to increase sponsorship.post-print1388 K

    Evaluation of a short RNA within Prostate Cancer Gene 3 in the predictive role for future cancer using non-malignant prostate biopsies.

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    BACKGROUND: Prostate Cancer 3 (PCA3) is a long non-coding RNA (ncRNA) upregulated in prostate cancer (PCa). We recently identified a short ncRNA expressed from intron 1 of PCA3. Here we test the ability of this ncRNA to predict the presence of cancer in men with a biopsy without PCa. METHODS: We selected men whose initial biopsy did not identify PCa and selected matched cohorts whose subsequent biopsies revealed PCa or benign tissue. We extracted RNA from the initial biopsy and measured PCA3-shRNA2, PCA3 and PSA (qRT-PCR). RESULTS: We identified 116 men with and 94 men without an eventual diagnosis of PCa in 2-5 biopsies (mean 26 months), collected from 2002-2008. The cohorts were similar for age, PSA and surveillance period. We detected PSA and PCA3-shRNA2 RNA in all samples, and PCA3 RNA in 90% of biopsies. The expression of PCA3 and PCA3-shRNA2 were correlated (Pearson's r = 0.37, p<0.01). There was upregulation of PCA3 (2.1-fold, t-test p = 0.02) and PCA3-shRNA2 (1.5-fold) in men with PCa on subsequent biopsy, although this was not significant for the latter RNA (p = 0.2). PCA3 was associated with the future detection of PCa (C-index 0.61, p = 0.01). This was not the case for PCA3-shRNA2 (C-index 0.55, p = 0.2). CONCLUSIONS: PCA3 and PCA3-shRNA2 expression are detectable in historic biopsies and their expression is correlated suggesting co-expression. PCA3 expression was upregulated in men with PCa diagnosed at a future date, the same did not hold for PCA3-shRNA2. Futures studies should explore expression in urine and look at a time course between biopsy and PCa detection

    Systematic Review of Active Surveillance for Clinically Localised Prostate Cancer to Develop Recommendations Regarding Inclusion of Intermediate-risk Disease, Biopsy Characteristics at Inclusion and Monitoring, and Surveillance Repeat Biopsy Strategy

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    none38siContext: There is uncertainty regarding the most appropriate criteria for recruitment, monitoring, and reclassification in active surveillance (AS) protocols for localised prostate cancer (PCa). Objective: To perform a qualitative systematic review (SR) to issue recommendations regarding inclusion of intermediate-risk disease, biopsy characteristics at inclusion and monitoring, and repeat biopsy strategy. Evidence acquisition: A protocol-driven, Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA)-adhering SR incorporating AS protocols published from January 1990 to October 2020 was performed. The main outcomes were criteria for inclusion of intermediate-risk disease, monitoring, reclassification, and repeat biopsy strategies (per protocol and/or triggered). Clinical effectiveness data were not assessed. Evidence synthesis: Of the 17 011 articles identified, 333 studies incorporating 375 AS protocols, recruiting 264 852 patients, were included. Only a minority of protocols included the use of magnetic resonance imaging (MRI) for recruitment (n = 17), follow-up (n = 47), and reclassification (n = 26). More than 50% of protocols included patients with intermediate or high-risk disease, whilst 44.1% of protocols excluded low-risk patients with more than three positive cores, and 39% of protocols excluded patients with core involvement (CI) >50% per core. Of the protocols, ≥80% mandated a confirmatory transrectal ultrasound biopsy; 72% (n = 189) of protocols mandated per-protocol repeat biopsies, with 20% performing this annually and 25% every 2 yr. Only 27 protocols (10.3%) mandated triggered biopsies, with 74% of these protocols defining progression or changes on MRI as triggers for repeat biopsy. Conclusions: For AS protocols in which the use of MRI is not mandatory or absent, we recommend the following: (1) AS can be considered in patients with low-volume International Society of Urological Pathology (ISUP) grade 2 (three or fewer positive cores and cancer involvement ≤50% CI per core) or another single element of intermediate-risk disease, and patients with ISUP 3 should be excluded; (2) per-protocol confirmatory prostate biopsies should be performed within 2 yr, and per-protocol surveillance repeat biopsies should be performed at least once every 3 yr for the first 10 yr; and (3) for patients with low-volume, low-risk disease at recruitment, if repeat systematic biopsies reveal more than three positive cores or maximum CI >50% per core, they should be monitored closely for evidence of adverse features (eg, upgrading); patients with ISUP 2 disease with increased core positivity and/or CI to similar thresholds should be reclassified. Patient summary: We examined the literature to issue new recommendations on active surveillance (AS) for managing localised prostate cancer. The recommendations include setting criteria for including men with more aggressive disease (intermediate-risk disease), setting thresholds for close monitoring of men with low-risk but more extensive disease, and determining when to perform repeat biopsies (within 2 yr and 3 yearly thereafter).noneWillemse, Peter-Paul M; Davis, Niall F; Grivas, Nikolaos; Zattoni, Fabio; Lardas, Michael; Briers, Erik; Cumberbatch, Marcus G; De Santis, Maria; Dell'Oglio, Paolo; Donaldson, James F; Fossati, Nicola; Gandaglia, Giorgio; Gillessen, Silke; Grummet, Jeremy P; Henry, Ann M; Liew, Matthew; MacLennan, Steven; Mason, Malcolm D; Moris, Lisa; Plass, Karin; O'Hanlon, Shane; Omar, Muhammad Imran; Oprea-Lager, Daniela E; Pang, Karl H; Paterson, Catherine C; Ploussard, Guillaume; Rouvière, Olivier; Schoots, Ivo G; Tilki, Derya; van den Bergh, Roderick C N; Van den Broeck, Thomas; van der Kwast, Theodorus H; van der Poel, Henk G; Wiegel, Thomas; Yuan, Cathy Yuhong; Cornford, Philip; Mottet, Nicolas; Lam, Thomas B LWillemse, Peter-Paul M; Davis, Niall F; Grivas, Nikolaos; Zattoni, Fabio; Lardas, Michael; Briers, Erik; Cumberbatch, Marcus G; De Santis, Maria; Dell'Oglio, Paolo; Donaldson, James F; Fossati, Nicola; Gandaglia, Giorgio; Gillessen, Silke; Grummet, Jeremy P; Henry, Ann M; Liew, Matthew; Maclennan, Steven; Mason, Malcolm D; Moris, Lisa; Plass, Karin; O'Hanlon, Shane; Omar, Muhammad Imran; Oprea-Lager, Daniela E; Pang, Karl H; Paterson, Catherine C; Ploussard, Guillaume; Rouvière, Olivier; Schoots, Ivo G; Tilki, Derya; van den Bergh, Roderick C N; Van den Broeck, Thomas; van der Kwast, Theodorus H; van der Poel, Henk G; Wiegel, Thomas; Yuan, Cathy Yuhong; Cornford, Philip; Mottet, Nicolas; Lam, Thomas B

    A Macroecological Analysis of SERA Derived Forest Heights and Implications for Forest Volume Remote Sensing

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    Individual trees have been shown to exhibit strong relationships between DBH, height and volume. Often such studies are cited as justification for forest volume or standing biomass estimation through remote sensing. With resolution of common satellite remote sensing systems generally too low to resolve individuals, and a need for larger coverage, these systems rely on descriptive heights, which account for tree collections in forests. For remote sensing and allometric applications, this height is not entirely understood in terms of its location. Here, a forest growth model (SERA) analyzes forest canopy height relationships with forest wood volume. Maximum height, mean, H100, and Lorey's height are examined for variability under plant number density, resource and species. Our findings, shown to be allometrically consistent with empirical measurements for forested communities world-wide, are analyzed for implications to forest remote sensing techniques such as LiDAR and RADAR. Traditional forestry measures of maximum height, and to a lesser extent H100 and Lorey's, exhibit little consistent correlation with forest volume across modeled conditions. The implication is that using forest height to infer volume or biomass from remote sensing requires species and community behavioral information to infer accurate estimates using height alone. SERA predicts mean height to provide the most consistent relationship with volume of the height classifications studied and overall across forest variations. This prediction agrees with empirical data collected from conifer and angiosperm forests with plant densities ranging between 102–106 plants/hectare and heights 6–49 m. Height classifications investigated are potentially linked to radar scattering centers with implications for allometry. These findings may be used to advance forest biomass estimation accuracy through remote sensing. Furthermore, Lorey's height with its specific relationship to remote sensing physics is recommended as a more universal indicator of volume when using remote sensing than achieved using either maximum height or H100
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