Adjusting the frequency of mammography screening on the basis of genetic risk: Attitudes among women in the UK.

Purpose To explore public attitudes towards modifying frequency of mammography screening based on genetic risk. Methods Home-based interviews were carried out with a population-based sample of 942 women aged 18–74 years in the UK. Demographic characteristics and perceived breast cancer (BC) risk were examined as predictors of support for risk-stratified BC screening and of the acceptability of raised or lowered screening frequency based on genetic risk, using multivariate logistic regression. Results Over two-thirds of respondents (65.8%) supported the idea of varying screening frequency on the basis of genetic risk. The majority (85.4%) were willing to have more frequent breast screening if they were found to be at higher risk, but fewer (58.8%) were willing to have less frequent screening if at lower risk (t (956) = 15.6, p < 0.001). Ethnic minority status was associated with less acceptability of more frequent screening (OR = 0.40, 95% CI = 0.21–0.74), but there were no other significant demographic correlates. Higher perceived risk of BC was associated with greater acceptability of more frequent screening (OR = 1.71, 95%CI = 1.27–2.30). Conclusion Women were positive about adjusting the frequency of mammography screening in line with personal genetic risk, but it will be important to develop effective communication materials to minimise resistance to reducing screening frequency for those at lower genetic risk

Topotecan Decreases the Expression of Programmed Death-Ligand 1 in Glioblastoma Cell Lines; Implications for Immunotherapy

Glioblastoma (GBM) is the most aggressive primary brain tumor and thrives in a microenvironment of relative immunosuppression. The poor clinical outcome of these malignant tumors requires the development of novel treatment options/therapeutic regimens. Accordingly, numerous immunotherapies for GBM are currently being tested in ongoing clinical trials. Herein we have examined the ability of the FDA approved drug topotecan to suppress programmed death-ligand 1 (PD-L1) expression. Our results suggest a role for topotecan as an adjuvant therapy in treatment regimens targeting certain GBM patient subpopulations in whom the expression of PD-L1 has been confirmed.This research was supported by the Intramural Research Program of the National Institute of Neurological Disorders and Stroke/National Institutes of Health (NINDS/NIH)

Vacuum Rabi splitting and intracavity dark state in a cavity-atoms system

We report experimental measurements of the transmission spectrum of an optical cavity coupled with cold Rb atoms. We observe the multi-atom vacuum Rabi splitting of a composite cavity and atom system. When a coupling field is applied to the atoms and induces the resonant two-photon Raman transition with the cavity field in a Lamda-type three-level system, we observe a cavity transmission spectrum with two vacuum Rabi sidebands and a central peak representing the intracavity dark state. The central peak linewidth is significantly narrowed by the dark-state resonance and its position is insensitive to the frequency change of the empty cavity.Comment: 11 pages, 4 figure

Inviting end-of-life talk in initial CALM therapy sessions: A conversation analytic study

OBJECTIVE: To examine how end-of-life talk is initiated in CALM therapy sessions with advanced cancer patients. METHODS: Conversation analysis was used to systematically examine the sequences where talk about death was raised in the first sessions of ten patients. RESULTS: Open questions about the patients' experiences, feelings or understanding in the context of talk about their troubles, were found to regularly elicit talk concerning end-of-life. These questions were designed in ways that invite patients to discuss troubling aspects of their cancer journey, without making discussion of this topic an interactional requirement. That is, the interactional work required to not engage in such talk is minimised. This choice is provided through the open question design, the degree to which negative feeling descriptors are specified, and the sequential context of the question. CONCLUSION: The analysis shows that therapists provide patients with the opportunity to talk about end-of-life in a way that is supportive of the therapeutic relationship. The readiness of patients to engage in end-of-life talk displays the salience of this topic, as well as the reflective space provided by CALM therapy. PRACTICE IMPLICATIONS: The results provide important insight into the process of CALM therapy, which can be used to guide training

Population-based, risk-stratified genetic testing for ovarian cancer risk: a focus group study

Study Purpose: A population-based risk stratification programme for ovarian cancer (OC) may improve OC survival by identifying women at increased risk and implementing an appropriate risk management strategy. The present study explored attitudes towards an OC risk stratification programme incorporating predictive genetic testing and risk-stratified screening as part of a larger study investigating OC screening. Methods: Focus groups consisting of 56 members of the general public (mean age 45 years; 34% non-white) were conducted using a hypothetical scenario. The group sessions were recorded, transcribed verbatim and analysed using Framework Analysis. Results: There was strong support for the proposed programme. Genetic testing and risk-stratified screening was thought to raise awareness, offer reassurance and offer opportunities for early intervention. Anxiety was only mentioned in relation to receiving a diagnosis of OC and not with screening per se. Perhaps because lay models of cancer already embrace both environmental and genetic factors, a low-risk result was not anticipated to result in a false sense of immunity. Unexpectedly, participants also wanted to receive cancer prevention advice in conjunction with genetic testing; screening alone was not regarded as sufficient. Conclusion: The encouraging results from this small study warrant further large-scale research into risk-stratified OC screening

Identification of functional apple scab resistance gene promoters

Apple scab (Venturia inaequalis) is one of the most damaging diseases affecting commercial apple production. Some wild Malus species possess resistance against apple scab. One gene, HcrVf2, from a cluster of three genes derived from the wild apple Malus floribunda clone 821, has recently been shown to confer resistance to apple scab when transferred into a scab-susceptible apple variety. For this proof-of-function experiment, the use of the 35S promoter from Cauliflower mosaic virus was reliable and appropriate. However, in order to reduce the amount of non-plant DNA in genetically modified apple to a minimum, with the aim of increasing genetically modified organism acceptability, these genes would ideally be regulated by their own promoters. In this study, sequences from the promoter region of the three members of the HcrVf gene family were compared. Promoter constructs containing progressive 5′ deletions were prepared and used for functional analyses. Qualitative assessment confirmed promoter activity in apple. Quantitative promoter comparison was carried out in tobacco (Nicotiana glutinosa) and led to the identification of several promoter regions with different strengths from a basal level to half the strength of the 35S promoter from Cauliflower mosaic viru

Pivotal role of families in doctor–patient communication in oncology: a qualitative study of patients, their relatives and cancer clinicians

Families are a unique source of support for many cancer patients. Most advanced communication skills training for oncologists are patient centred and do not cover interactions with family members. The current study used in-depth qualitative interviews of patients, relatives and cancer clinicians with thematic analysis to explore the role of family members in the communication process. Forty-one participants included 10 cancer patients, 10 relatives ensuring proportionate representation of both gender and primary cancer site and 21 doctors representing both medical and surgical oncology. Nineteen of 20 patients and relatives wanted an "open and honest" discussion with their doctors. All patients, relatives and doctors preferred involvement of the family at most stages of cancer treatment. Five themes were identified in relation to communication with family members. The participants highlighted the "importance of family for physical and psychological care," they emphasised the need to "balance patient autonomy and relatives desire to be protective" using varied "negotiating strategies" that are influenced by "socioeconomic circumstances of both patient and family." The doctor-patient-relative communication process was not static with preferences changing over time. The data suggests that communication skills training of cancer clinicians should incorporate modules on better communication with relatives

Controlling circular polarization of light emitted by quantum dots using chiral photonic crystal slab

We study the polarization properties of light emitted by quantum dots that are embedded in chiral photonic crystal structures made of achiral planar GaAs waveguides. A modification of the electromagnetic mode structure due to the chiral grating fabricated by partial etching of the wave\-guide layer has been shown to result in a high circular polarization degree $\rho_c$ of the quantum dot emission in the absence of external magnetic field. The physical nature of the phenomenon can be understood in terms of the reciprocity principle taking into account the structural symmetry. At the resonance wavelength, the magnitude of $|\rho_c|$ is predicted to exceed 98%. The experimentally achieved value of $|\rho_c|=81$% is smaller, which is due to the contribution of unpolarized light scattered by grating defects, thus breaking its periodicity. The achieved polarization degree estimated removing the unpolarized nonresonant background from the emission spectra can be estimated to be as high as 96%, close to the theoretical prediction

Characterizing forest succession with lidar data: An evaluation for the Inland Northwest, USA

Quantifying forest structure is important for sustainable forest management, as it relates to a wide variety of ecosystem processes and services. Lidar data have proven particularly useful for measuring or estimating a suite of forest structural attributes such as canopy height, basal area, and LAI. However, the potential of this technology to characterize forest succession remains largely untested. The objective of this study was to evaluate the use of lidar data for characterizing forest successional stages across a structurally diverse, mixed-species forest in Northern Idaho. We used a variety of lidar-derived metrics in conjunction with an algorithmic modeling procedure (Random Forests) to classify six stages of three-dimensional forest development and achieved an overall accuracy \u3e95%. The algorithmic model presented herein developed ecologically meaningful classifications based upon lidar metrics quantifying mean vegetation height and canopy cover, among others. This study highlights the utility of lidar data for accurately classifying forest succession in complex, mixed coniferous forests; but further research should be conducted to classify forest successional stages across different forests types. The techniques presented herein can be easily applied to other areas. Furthermore, the final classification map represents a significant advancement for forest succession modeling and wildlife habitat assessment

Characterizing forest succession with lidar data: An evaluation for the Inland Northwest, USA

Quantifying forest structure is important for sustainable forest management, as it relates to a wide variety of ecosystem processes and services. Lidar data have proven particularly useful for measuring or estimating a suite of forest structural attributes such as canopy height, basal area, and LAI. However, the potential of this technology to characterize forest succession remains largely untested. The objective of this study was to evaluate the use of lidar data for characterizing forest successional stages across a structurally diverse, mixed-species forest in Northern Idaho. We used a variety of lidar-derived metrics in conjunction with an algorithmic modeling procedure (Random Forests) to classify six stages of three-dimensional forest development and achieved an overall accuracy \u3e95%. The algorithmic model presented herein developed ecologically meaningful classifications based upon lidar metrics quantifying mean vegetation height and canopy cover, among others. This study highlights the utility of lidar data for accurately classifying forest succession in complex, mixed coniferous forests; but further research should be conducted to classify forest successional stages across different forests types. The techniques presented herein can be easily applied to other areas. Furthermore, the final classification map represents a significant advancement for forest succession modeling and wildlife habitat assessment