Sexual Development in Plasmodium: Lessons from Functional Analyses

Malaria is a devastating global disease with several hundred million clinical cases and just under 1 million deaths each yea

Accurate prediction of response to endocrine therapy in breast cancer patients: current and future biomarkers

WOS: 000390900700001PubMed ID: 27903276Approximately 70% of patients have breast cancers that are oestrogen receptor alpha positive (ER+) and are therefore candidates for endocrine treatment. Many of these patients relapse in the years during or following completion of adjuvant endocrine therapy. Thus, many ER+ cancers have primary resistance or develop resistance to endocrine therapy during treatment. Recent improvements in our understanding of how tumours evolve during treatment with endocrine agents have identified both changes in gene expression and mutational profiles, in the primary cancer as well as in circulating tumour cells. Analysing these changes has the potential to improve the prediction of which specific patients will respond to endocrine treatment. Serially profiled biopsies during treatment in the neoadjuvant setting offer promise for accurate and early prediction of response to both current and novel drugs and allow investigation of mechanisms of resistance. In addition, recent advances in monitoring tumour evolution through non-invasive (liquid) sampling of circulating tumour cells and cell-free tumour DNA may provide a method to detect resistant clones and allow implementation of personalized treatments for metastatic breast cancer patients. This review summarises current and future biomarkers and signatures for predicting response to endocrine treatment, and discusses the potential for using approved drugs and novel agents to improve outcomes. Increased prediction accuracy is likely to require sequential sampling, utilising preoperative or neoadjuvant treatment and/or liquid biopsies and an improved understanding of both the dynamics and heterogeneity of breast cancer.European CommissionEuropean Commission Joint Research Centre [658170]This work was funded by the European Commission H2020 Marie Sklodowska Curie Action Individual Fellowship (H2020-MSCA-IF, 658170) to CS and Breast Cancer Now to JMD and AHS

Compositional and urban form effects on residential property value patterns in Greater London

The objective of this research is to determine the role of urban street layout design in the process of shaping property values. The effect of spatial accessibility on rent is a classic finding of spatial economics. Using space syntax fine-grained spatial design analysis, which indexes the spatial centrality and accessibility, the patterns of property prices are analysed for a large contiguous sample of over 60 000 residential dwellings in a North London borough, using the council tax band as a proxy variable for the property price. Few studies have examined the effect of spatial contiguity on the housing sub-market classification. The findings demonstrate that the council tax band proxy is a good indicator of residential property sale prices. In addition, a hedonic model framework shows that spatial centrality and accessibility, as indexed by the space syntax spatial design analysis, accounts for the variations in residential property values for single and multiple dwellings when controlling for the property size, relative density and building age. Multivariate analysis is used to establish the weighting of the different variables. The single most important spatial factor is the property size, followed by the ambient density, the local and global spatial accessibility and the building age. Non-residential land use location, the proximity to main arterial roads and the associated traffic and air pollution are shown to inhibit the residential property location