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Sökning: WFRF:(Finelli Antonio)

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1.
  • Dadaev, Tokhir, et al. (författare)
  • Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants.
  • 2018
  • Ingår i: Nature Communications. - 2041-1723 .- 2041-1723. ; 9:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Prostate cancer is a polygenic disease with a large heritable component. A number of common, low-penetrance prostate cancer risk loci have been identified through GWAS. Here we apply the Bayesian multivariate variable selection algorithm JAM to fine-map 84 prostate cancer susceptibility loci, using summary data from a large European ancestry meta-analysis. We observe evidence for multiple independent signals at 12 regions and 99 risk signals overall. Only 15 original GWAS tag SNPs remain among the catalogue of candidate variants identified; the remainder are replaced by more likely candidates. Biological annotation of our credible set of variants indicates significant enrichment within promoter and enhancer elements, and transcription factor-binding sites, including AR, ERG and FOXA1. In 40 regions at least one variant is colocalised with an eQTL in prostate cancer tissue. The refined set of candidate variants substantially increase the proportion of familial relative risk explained by these known susceptibility regions, which highlights the importance of fine-mapping studies and has implications for clinical risk profiling.
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  • Campi, Riccardo, et al. (författare)
  • Novel Liquid Biomarkers and Innovative Imaging for Kidney Cancer Diagnosis : What Can Be Implemented in Our Practice Today? A Systematic Review of the Literature
  • 2021
  • Ingår i: European urology oncology. - : Elsevier. - 2588-9311. ; 4:1, s. 22-41
  • Forskningsöversikt (refereegranskat)abstract
    • CONTEXT: The epidemiological signature of renal cell carcinoma (RCC) during the past decades is explained by overdetection and overtreatment of indolent cancers; furthermore, a non-negligible proportion of patients undergoing surgery for suspected RCC harbour benign renal tumours. As the gold standard for RCC diagnosis remains histopathological analysis of surgical or biopsy specimens, implementation of noninvasive diagnostic strategies to discriminate between benign and malignant renal masses is an urgent unmet need. OBJECTIVE: To systematically review novel liquid biomarkers and imaging modalities for RCC diagnosis. EVIDENCE ACQUISITION: A systematic review of the recent English-language literature was conducted according to the European Association of Urology guidelines and the PRISMA statement recommendations (PROSPERO ID: CRD42020190773) using the MEDLINE, Cochrane Central Register of Controlled Trials, Web of Science, and ClinicalTrials.gov databases. Risk-of-bias assessment was performed according to the QUADAS 2 tool. EVIDENCE SYNTHESIS: Overall, 15 studies (six on biomarkers and nine on imaging) and eight clinical trials were included. None of the biomarkers or imaging modalities has been validated or shown to have a distinct clinical value for RCC. Specific combinations of urinary cell-free and exosomal miRNAs, urinary miR-15a, and specific panels of urinary metabolites assessed by metabolomics appear promising. In addition, machine/deep learning algorithms and radiomics applied to cross-sectional images may have potential to improve RCC diagnosis. Most studies are limited by the retrospective design, size, and lack of external validation. CONCLUSIONS: Liquid biomarkers or imaging modalities are not ready for integration in the clinic and further well-designed studies must validate preliminary findings and explore utility in clinical decision-making. PATIENT SUMMARY: We provide a comprehensive overview of the currently available biomarkers (measured in blood or urine) and novel imaging tests (other than conventional imaging) to discriminate kidney cancer from benign renal masses in a noninvasive fashion. None of the biomarkers or imaging modalities studied was validated or added clinical value; therefore, none of them can be implemented in the clinic. However, these approaches appear to be promising for improving the diagnosis of kidney cancer in the future.
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