Identification of smoking cessation phenotypes as a basis for individualized counseling: An explorative real-world cohort study.

Introduction: The rate of relapse in smokers attempting to quit is generally high. In order to maximize the chances of success, it is of interest to better understand the dynamic of lapse and relapse during smoking cessation. We hypothesized that specific behavioral patterns in tobacco consumption could predict the probability of quitting success and could open the possibility for a more targeted approach.

15q12 variants, sputum gene promoter hypermethylation, and lung cancer risk: a GWAS in smokers.

Background: Lung cancer is the leading cause of cancer-related mortality worldwide. Detection of promoter hypermethylation of tumor suppressor genes in exfoliated cells from the lung provides an assessment of field cancerization that in turn predicts lung cancer. The identification of genetic determinants for this validated cancer biomarker should provide novel insights into mechanisms underlying epigenetic reprogramming during lung carcinogenesis.

[Ophthalmic emergencies for the general practitioner].

This article point out guidelines for the general practitioner when he can manage himself ophthalmic emergencies, which patients an ophthamologist should see on the same day and when an immediate intervention by an ophthalmologist is necessary.

Discovery of common SNPs in the miR-205/200 family-regulated epithelial to mesenchymal transition pathway and their association with risk for non-small cell lung cancer.

The activation of the epithelial-to-mesenchymal transition (EMT) program is an important step for tumor initiation, invasion, and metastasis in solid tumors, including lung cancer. The purpose of this study was to identify the sequence variants in the miR-205/200 family-regulated EMT pathway and test their association with risk for lung cancer. Fifty samples were resequenced to identify sequence variants in the miR-205/200 family-regulated EMT pathway.

Clinical evaluation of a novel population-based regression analysis for detecting glaucomatous visual field progression.

Background: The distinction of real progression from test variability in visual field (VF) series may be based on clinical judgment, on trend analysis based on follow-up of test parameters over time, or on identification of a significant change related to the mean of baseline exams (event analysis). The aim of this study was to compare a new population-based method (Octopus field analysis, OFA) with classic regression analyses and clinical judgment for detecting glaucomatous VF changes.

Patients And Methods: 240 VF series of 240 patients with at least 9 consecutive examinations available were included into this study.