Socio-demographic inequalities in stage at diagnosis of lung cancer: A French population-based study.

Background: Diagnosing patients at a non-advanced stage has become a mainstay of lung cancer prevention and control strategies. Understanding socio-demographic inequalities in stage at diagnosis may improve the targeting of interventions on patients at higher risk. This study aimed to identify these socio-demographic determinants in a large-scale French population-based cancer registry.

Prediction methods for microRNA targets in bilaterian animals: Toward a better understanding by biologists.

MicroRNAs (miRNAs) are small noncoding RNAs that regulate gene expression at the posttranscriptional level. Because of their wide network of interactions, miRNAs have become the focus of many studies over the past decade, particularly in animal species. To streamline the number of potential wet lab experiments, the use of miRNA target prediction tools is currently the first step undertaken.

Improving Bioinformatics Prediction of microRNA Targets by Ranks Aggregation.

microRNAs are noncoding RNAs which downregulate a large number of target mRNAs and modulate cell activity. Despite continued progress, bioinformatics prediction of microRNA targets remains a challenge since available software still suffer from a lack of accuracy and sensitivity. Moreover, these tools show fairly inconsistent results from one another.

[Illogical association nalmefene and opioids: Analysis in the French pharmacovigilance database].

Introduction: Nalmefene, an opioid antagonist, causes withdrawal syndromes in patients exposed to an opioid agonist. Despite its contraindication, this illogical drug association persists, especially with opioid substitution drugs (ODS). We measured the benefits of the modification in the summary of product characteristics (SPC) in March 2015 and the package leaflet of Selincro in September 2016 on this misuse.