DNA Repair Biomarker for Lung Cancer Risk and its Correlation With Airway Cells Gene Expression

BACKGROUND

Improving lung cancer risk assessment is required because current early-detection screening criteria miss most cases. We therefore examined the utility for lung cancer risk assessment of a DNA Repair score obtained from OGG1, MPG, and APE1 blood tests. In addition, we examined the relationship between the level of DNA repair and global gene expression.

METHODS

We conducted a blinded case-control study with 150 non-small cell lung cancer case patients and 143 control individuals. DNA Repair activity was measured in peripheral blood mononuclear cells, and the transcriptome of nasal and bronchial cells was determined by RNA sequencing. A combined DNA Repair score was formed using logistic regression, and its correlation with disease was assessed using cross-validation; correlation of expression to DNA Repair was analyzed using Gene Ontology enrichment.

RESULTS

DNA Repair score was lower in case patients than in control individuals, regardless of the case's disease stage. Individuals at the lowest tertile of DNA Repair score had an increased risk of lung cancer compared to individuals at the highest tertile, with an odds ratio (OR) of 7.2 (95% confidence interval [CI] = 3.0 to 17.5; P < .001), and independent of smoking. Receiver operating characteristic analysis yielded an area under the curve  of 0.89 (95% CI = 0.82 to 0.93). Remarkably, low DNA Repair score correlated with a broad upregulation of gene expression of immune pathways in patients but not in control individuals.

CONCLUSIONS

The DNA Repair score, previously shown to be a lung cancer risk factor in the Israeli population, was validated in this independent study as a mechanism-based cancer risk biomarker and can substantially improve current lung cancer risk prediction, assisting prevention and early detection by computed tomography scanning.

A Geospatial Analysis of Adult Major Trauma Transit Time in Dublin

Aims To estimate ambulance transit time of Major Trauma patients from scene to Emergency Department (ED) in order to inform future trauma network design. Methods Dublin Fire Brigade data was analysed and each Major Trauma incident was mapped. Actual distance and time to the receiving ED was measured and estimates of distances and times from each of these incidents to any ED in Dublin (any potential Major Trauma Centre) were formulated using Google Maps in Internet Explorer 11. Results Adult trauma (n=500) was evenly distributed throughout Dublin. The median transit time to each ED varied from 5 to 8 minutes with a longest time of 26 minutes. The calculated median transit time from an incident to any ED was 18 minutes with a maximum estimated transit time of 40 minutes. Conclusion The data demonstrated that all patients could get to any Dublin ED with a median time of 18 minutes and within the internationally recommended transfer time of 45 minutes to a Major Trauma Centre.

Barriers for unaccompanied refugee minors in accessing mental health care: Is it the therapy or the therapist?

Introduction

Refugee children, particularly unaccompanied refugee minors, present with disproportionately high prevalence of mental health and emotional difficulties. However, the mental health service access and treatment engagement of this vulnerable group has been consistently shown to be poorer than the general population. Despite of this, so far there hasn’t been much research to explore the possible underlying reasons or barriers for these young people to access mental health service in their host countries.

Aims and objectives

This research aims to understand unaccompanied refugee children's barriers to access and utilize mental health services. To explore any potential characteristics in the service provision that can be linked with the observed poor treatment engagement and service access is also an objective of this study.

Methods

The study was conducted by using semi-structured interviews with 15 unaccompanied asylum seeking minors and their carers to elicit their views, perceptions and beliefs based on their experience of receiving treatment from a specialist mental health service in the UK.

Results

The interview transcripts were analysed using thematic analysis. The main findings were categorised into two broad themes, the participants’ perceptions of the intervention received, and perception of the professionals involved. The different elements and pertinent issues within these two broad areas were discussed.

Conclusions

Findings will help stimulate further exploratory research gaining better understanding of the barriers for these young people to access treatment, and contribute in developing innovative services that are more efficient in engaging this vulnerable group and suitable to meet their specific needs.

Disclosure of interest

The authors have not supplied their declaration of competing interest.

Functional variants at the 11q13 risk locus for breast cancer regulate cyclin D1 expression through long-range enhancers

Analysis of 4,405 variants in 89,050 European subjects from 41 case-control studies identified three independent association signals for estrogen-receptor-positive tumors at 11q13. The strongest signal maps to a transcriptional enhancer element in which the G allele of the best candidate causative variant rs554219 increases risk of breast cancer, reduces both binding of ELK4 transcription factor and luciferase activity in reporter assays, and may be associated with low cyclin D1 protein levels in tumors. Another candidate variant, rs78540526, lies in the same enhancer element. Risk association signal 2, rs75915166, creates a GATA3 binding site within a silencer element. Chromatin conformation studies demonstrate that these enhancer and silencer elements interact with each other and with their likely target gene, CCND1.

Master regulators of FGFR2 signalling and breast cancer risk

The fibroblast growth factor receptor 2 (FGFR2) locus has been consistently identified as a breast cancer risk locus in independent genome-wide association studies. However, the molecular mechanisms underlying FGFR2-mediated risk are still unknown. Using model systems we show that FGFR2-regulated genes are preferentially linked to breast cancer risk loci in expression quantitative trait loci analysis, supporting the concept that risk genes cluster in pathways. Using a network derived from 2,000 transcriptional profiles we identify SPDEF, ERα, FOXA1, GATA3 and PTTG1 as master regulators of fibroblast growth factor receptor 2 signalling, and show that ERα occupancy responds to fibroblast growth factor receptor 2 signalling. Our results indicate that ERα, FOXA1 and GATA3 contribute to the regulation of breast cancer susceptibility genes, which is consistent with the effects of anti-oestrogen treatment in breast cancer prevention, and suggest that fibroblast growth factor receptor 2 signalling has an important role in mediating breast cancer risk.