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The etiology of prostate cancer (PCa) remains largely unknown. Compliance with the 2018 World Cancer Research Fund/American Institute for Cancer Research (WCRC/AICR) cancer prevention recommendations and its relationship to PCa was evaluated. A total of 398 incident PCa cases and 302 controls were included. The selection criteria for both cases and controls were: (i) age between 40−80 years; and (ii) residence in the coverage area of the reference hospitals for 6 months or more prior to recruitment. A score to measure the compliance with the recommendations of 2018 WCRC/AICR criteria was built. The level of compliance was used as a continuous variable and categorized in terciles. The aggressiveness of PCa was determined according to the ISUP classification. Adjusted odds ratios (aOR) and their 95% confidence intervals (95% CI) were estimated using multivariable logistic regression models. A slight protective tendency was observed between the level of compliance with the preventive recommendations and PCa risk, aOR = 0.81 (95% CI 0.69−0.96) for the total cases of PCa. This association also was observed when the aggressiveness was considered. In addition, limiting consumption of “fast foods”, sugar-sweetened drinks, and alcohol were independently associated with lower risk of PCa.

The management and screening of prostate cancer (PC) is still the main problem in clinical practice. In this study, we investigated the role of aggressiveness genetic markers for PC stratification. We analyzed 201 plasma samples from PC patients and controls by digital PCR. For selection and validation, 26 formalin-fixed paraffin-embedded tissues, 12 fresh tissues, and 24 plasma samples were characterized by RNA-Seq, immunochemistry, immunofluorescence, Western blot, and extracellular-vesicles analyses. We identified three novel non-invasive biomarkers; all with an increased expression pattern in patients ( PCA3 : p = 0.002, S100A4 : p ≤ 0.0001 and MRC2 : p = 0.005). S100A4 presents the most informative AUC (area under the curve) (0.735). Combination of S100A4 , MRC2 , and PCA3 increases the discriminatory power between patients and controls and between different more and less aggressive stages (AUC = 0.761, p ≤ 0.0001). However, although a sensitivity of 97.47% in PCA3 and a specificity of 90.32% in S100A4 was reached, the detection signal level could be variable in some analyses owing to tumor heterogeneity. This is the first time that the role of S100A4 and MRC2 has been described in PC aggressiveness. Moreover, the combination of S100A4 , MRC2 , and PCA3 has never been described as a non-invasive biomarker for PC screening and aggressiveness.

Here, the role of non-invasive biomarkers in liquid biopsy was evaluated, mainly in exosomes and mitochondrial DNA (mtDNA) as promising, novel, and stable biomarkers for renal cell carcinoma (RCC). A total of 140 fractions (named from B to F) obtained by ultracentrifugations of whole blood samples from 28 individuals (13 patients and 15 controls) were included. Nanoparticle Tracking Analysis (NTA) was conducted to characterized exosomal fraction. Subsequently, an analysis of digital PCR (dPCR) using the QuantStudio™ 3D Digital PCR platform was performed and the quantification of mtDNA copy number by QuantStudioTM 12K Flex Real-Time PCR System (qPCR) was developed. Moreover, Next Generation Sequencing (NGS) analyses were included using MiSeq system (Illumina, San Diego, CA, USA). An F fraction, which contains all exosome data and all mitochondrial markers, was identified in dPCR and qPCR with statistically significant power (adjusted p values ≤ 0.03) when comparing cases and controls. Moreover, present analysis in mtDNA showed a relevant significance in RCC aggressiveness. To sum up, this is the first time a relation between exosomal mtDNA markers and clinical management of RCC is analyzed. We suggest a promising strategy for future liquid biopsy RCC analysis, although more analysis should be performed prior to application in routine clinical practice.

There is an urged need of non-invasive biomarkers for the implementation of precision medicine. These biomarkers are required to these days for improving prostate cancer (PCa) screening, treatment or stratification in current clinical strategies. There are several commercial kits (Oncotype DX genomic prostate score ® , Prolaris ® , among others) that use genomic changes, rearrangement or even non-coding RNA events. However, none of them are currently used in the routine clinical practice. Many recent studies indicate that miRNAs are relevant molecules (small single-stranded non-coding RNAs that regulate gene expression of more than 30% of human genes) to be implement non-invasive biomarkers. However, contrasting to others tumors, such as breast cancer where miR-21 seems to be consistently upregulated; PCa data are controversial. Here we reported an extended revision about the role of miRNAs in PCa including data of AR signaling, cell cycle, EMT process, CSCs regulation and even the role of miRNAs as PCa diagnostic, prognostic and predictive tool. It is known that current biomedical research uses big-data analysis like Next Generation Sequencing (NGS) analysis. We also conducted an extensive online search, including the main platforms and kits for miRNAs massive analysis (like MiSeq, Nextseq 550, or Ion S5™ systems) indicating their pros, cons and including pre-analytical and analytical issues of miRNA studies., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Objective: Candida could become the second most frequent cause of nosocomial urinary tract infection. Although Candida albicans is the most important species, others have arisen as emerging pathogens. The aim of this study was to analyze the presence of candiduria in inpatients., Methods: We performed a retrospective study of Candida isolates from adult inpatient urocultures over five years, gathering and tabulating data on: the species; susceptibility to fluconazole, amphotericin B, and voriconazole (Vitek2, BioMerieux); presence of catheter; hospital department of origin; and patient age and sex., Results: We detected 289 yeast episodes, observing an annual increase: 134 (46.4%) were non-C. albicans yeasts, with 57 (19.7%) being Candida glabrata, 37 (12.8%) Candida tropicalis, 25 (8.6%) Candida parapsilosis, and 10 (3.5%) Candida lusitaniae. Most isolates derived from catheterized (240, 83.0%) and Internal Medicine Department (118, 40.8%) patients, observing an annual increase; 152 (52.6%) isolates were from males, and the mean age was >65 years. Susceptibility to antifungals was >85%., Conclusions: Inpatient urocultures should include data on the presence of Candida, which is more prevalent in Internal Medicine Department inpatients, in those with urinary catheter, and in over 65-year-olds. Almost half of the isolates were non-C. albicans yeasts, and we recommend complete identification of the species involved., (©The Author 2018. Published by Sociedad Española de Quimioterapia. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)(https://creativecommons.org/licenses/by-nc/4.0/).)

Purpose: High-risk prostate cancer is a potentially lethal disease that is increasing in the diagnosis of prostate cancer patients. Compared to other prostate cancer patients (medium or low risk), management, diagnosis and treatment are not as successful among high-risk patients. Because the genetic characterization of prostate cancer patients is increasing, we aimed to determine whether genetic information in one of the primary associated genes, such as RNASEL (2', 5'-oligoadenylate-dependent RNase L), could be used as a biomarker to improve the quality of life and treatment among high-risk patients. The main objective is to identify genetic variants of RNASEL that could be associated with high-risk prostate cancer to improve the clinical managing of these patients., Methods: A total of 231 prostate cancer patients were genotyped for 7 variants of RNASEL gene. Clinical information was obtained from medical examinations and genetic analysis (amplification and sequencing 7 variants of RNASEL gene) were performed by the researchers. Data were processed by statistical analysis (Chi square and logistic regression) using SPSS v.15.0., Results: Comparisons between genotypes and clinical characteristics of patients revealed that individuals with GG in D541E, AA in R462Q and AG in I97L in RNASEL gene were high-risk patients according to the European Urology Guidelines., Conclusions: Genotyping the RNASEL gene with routine diagnostic techniques could confer a more precise diagnosis of high-risk prostate cancer patients and increase the diagnostic accuracy above the current rate of 70% due to the relation between the genetic variants of RNASEL gene and the risk of this cancer.