Genome-wide scan of long noncoding RNA single nucleotide polymorphisms and pancreatic cancer susceptibility.

Pancreatic ductal adenocarcinoma (PDAC) is projected to become the second cancer-related cause of death by 2030. Identifying novel risk factors, including genetic risk loci, could be instrumental in risk stratification and implementation of prevention strategies. Long noncoding RNAs (lncRNAs) are involved in regulation of key biological processes, and the possible role of their genetic variability has been unexplored so far. Combining genome wide association studies and functional data, we investigated the genetic variability in all lncRNAs. We analyzed 9893 PDAC cases and 9969 controls and identified a genome-wide significant association between the rs7046076 SNP and risk of developing PDAC (P = 9.73 × 10-9 ). This SNP is located in the NONHSAG053086.2 (lnc-SMC2-1) gene and the risk allele is predicted to disrupt the binding of the lncRNA with the micro-RNA (miRNA) hsa-mir-1256 that regulates several genes involved in cell cycle, such as CDKN2B. The CDKN2B region is pleiotropic and its genetic variants have been associated with several human diseases, possibly though an imperfect interaction between lncRNA and miRNA. We present a novel PDAC risk locus, supported by a genome-wide statistical significance and a plausible biological mechanism.

Infection Control Practices and Outcomes of Endoscopy Units in the Lombardy Region of Italy: A Survey From the Italian Society of Digestive Endoscopy During COVID-19 Spread.

GOALS: The present survey from the Italian Society of Digestive Endoscopy (SIED-Società Italiana di Endoscopia Digestiva) was aimed at reporting infection control practice and outcomes at Digestive Endoscopy Units in a high-incidence area. BACKGROUND: Lombardy was the Italian region with the highest coronavirus disease-2019 (COVID-19) prevalence, at the end of March 2020 accounting for 20% of all worldwide deaths. Joint Gastro-Intestinal societies released recommendations for Endoscopy Units to reduce the risk of the contagion. However, there are few data from high-prevalence areas on adherence to these recommendations and on their efficacy. METHODS: A survey was designed by the Lombardy section of SIED to analyze (a) changes in activity and organization, (b) adherence to recommendations, (c) rate of health care professionals' (HCP) infection during the COVID-19 outbreak. RESULTS: In total, 35/61 invited centers (57.4%) participated; most modified activities were according to recommendations and had filtering face piece 2/filtering face piece 3 and water-repellent gowns available, but few had negative-pressure rooms or provided telephonic follow-up; 15% of HCPs called in sick and 6% had confirmed COVID-19. There was a trend (P=0.07) toward different confirmed COVID-19 rates among endoscopists (7.9%), nurses (6.6%), intermediate-care technicians (3.4%), and administrative personnel (2.2%). There was no correlation between the rate of sick HCPs and COVID-19 incidence in the provinces and personal protective equipment availability and use, whereas an inverse correlation with hospital volume was found. CONCLUSIONS: Adherence to recommendations was rather good, though a minority were able to follow all recommendations. Confirmed COVID-19 seemed higher among endoscopists and nurses, suggesting that activities in the endoscopy rooms are at considerable viral spread risk.

Identification of Recessively Inherited Genetic Variants Potentially Linked to Pancreatic Cancer Risk.

Although 21 pancreatic cancer susceptibility loci have been identified in individuals of European ancestry through genome-wide association studies (GWASs), much of the heritability of pancreatic cancer risk remains unidentified. A recessive genetic model could be a powerful tool for identifying additional risk variants. To discover recessively inherited pancreatic cancer risk loci, we performed a re-analysis of the largest pancreatic cancer GWAS, the Pancreatic Cancer Cohort Consortium (PanScan) and the Pancreatic Cancer Case-Control Consortium (PanC4), including 8,769 cases and 7,055 controls of European ancestry. Six single nucleotide polymorphisms (SNPs) showed associations with pancreatic cancer risk according to a recessive model of inheritance. We replicated these variants in 3,212 cases and 3,470 controls collected from the PANcreatic Disease ReseArch (PANDoRA) consortium. The results of the meta-analyses confirmed that rs4626538 (7q32.2), rs7008921 (8p23.2) and rs147904962 (17q21.31) showed specific recessive effects (p<10-5) compared with the additive effects (p>10-3), although none of the six SNPs reached the conventional threshold for genome-wide significance (p < 5×10-8). Additional bioinformatic analysis explored the functional annotations of the SNPs and indicated a possible relationship between rs36018702 and expression of the BCL2L11 and BUB1 genes, which are known to be involved in pancreatic biology. Our findings, while not conclusive, indicate the importance of considering non-additive genetic models when performing GWAS analysis. The SNPs associated with pancreatic cancer in this study could be used for further meta-analysis for recessive association of SNPs and pancreatic cancer risk and might be a useful addiction to improve the performance of polygenic risk scores.