Assessing the quality of patient-reported outcome measurements for gynecological cancers: a systematic review.

Aim: To provide perspective on patient-reported outcome measurement (PROM) instruments to adopt in patients diagnosed with gynecological cancers. Methods: A systematic search was conducted to identify PROMs developed for or applied in gynecological cancer populations. PROMs identified in more than one study subsequently underwent assessment according to the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) criteria. Results: Overall, 55 PROMs were identified within the gynecological cancer setting, and 20 were assessed according to COSMIN guidelines. Most PROMs had limited information reported, but a best fit approach was adopted to recommend a number of instruments for use in patients with gynecological cancer. Conclusion: Further study to assess the methodological quality of each PROM utilized in gynecological cancers is warranted to endorse the recommendations of this review.

Gynecological cancers are cancers which occur in the reproductive system of women. The cervical cancer screening program and development of new treatments mean that women with gynecological cancers are now living longer than before. However, these new treatments may have side effects that can affect the quality of life of women with cancer. Many care providers now agree that looking at women's quality of life during their gynecological cancer journey is an important part of their treatment. Patient-reported outcome measurements (PROMs) are questionnaires that the patient completes to measure their symptoms and quality of life. There are a lot of PROMs available to choose from, and it can be difficult to select one that is relevant and understandable for all women with gynecological cancer. This article searched the literature to find all PROMs that can be completed by women with gynecological cancer and then measured each of the PROM's quality. PROM quality was measured by looking at validity (whether the questionnaire measures what it is supposed to measure), reliability (that the questionnaire is not subject to different errors in measuring), and sensitivity (that the questionnaire can measure changes in questionnaire scores over time). Overall, this study found that there were a few PROMs that were of good enough quality to be completed by women with gynecological cancers. These questionnaires are called the European Organisation for Research and Treatment of Cancer Quality-of-Life Questionnaire Cervical Cancer Module (EORTC QLQ-CX24), the Functional Assessment of Cancer Therapy - General (FACT-G), European Organisation for Research and Treatment of Cancer Quality-of-Life Questionnaire Endometrial Cancer (EORTC QLQ-EN24), Functional Assessment of Cancer Therapy Gynecologic Oncology Group ­ Neurotoxicity (FACT-GOG/Ntx), Functional Assessment of Cancer Therapy ­ Ovarian (FACT-O) and Female Sexual Function Index (FSFI). Each questionnaire can be filled out by women with different types of gynecological cancer, and the FSFI measures sexual problems that women may experience after cancer treatment.

The Promise of Polygenic Risk Prediction in Smoking Cessation: Evidence From Two Treatment Trials.

INTRODUCTION: Tobacco use disorder is a complex behavior with a strong genetic component. Genome-wide association studies (GWAS) on smoking behaviors allow for the creation of polygenic risk scores (PRSs) to approximate genetic vulnerability. However, the utility of smoking-related PRSs in predicting smoking cessation in clinical trials remains unknown. AIMS AND METHODS: We evaluated the association between polygenic risk scores and bioverified smoking abstinence in a meta-analysis of two randomized, placebo-controlled smoking cessation trials. PRSs of smoking behaviors were created using the GWAS and Sequencing Consortium of Alcohol and Nicotine use (GSCAN) consortium summary statistics. We evaluated the utility of using individual PRS of specific smoking behavior versus a combined genetic risk that combines PRS of all four smoking behaviors. Study participants came from the Transdisciplinary Tobacco Use Research Centers (TTURCs) Study (1091 smokers of European descent), and the Genetically Informed Smoking Cessation Trial (GISC) Study (501 smokers of European descent). RESULTS: PRS of later age of smoking initiation (OR [95% CI]: 1.20, [1.04-1.37], p = .0097) was significantly associated with bioverified smoking abstinence at end of treatment. In addition, the combined PRS of smoking behaviors also significantly predicted bioverified smoking abstinence (OR [95% CI] 0.71 [0.51-0.99], p = .045). CONCLUSIONS: PRS of later age at smoking initiation may be useful in predicting smoking cessation at the end of treatment. A combined PRS may be a useful predictor for smoking abstinence by capturing the genetic propensity for multiple smoking behaviors. IMPLICATIONS: There is a potential for polygenic risk scores to inform future clinical medicine, and a great need for evidence on whether these scores predict clinically meaningful outcomes. Our meta-analysis provides early evidence for potential utility of using polygenic risk scores to predict smoking cessation amongst smokers undergoing quit attempts, informing further work to optimize the use of polygenic risk scores in clinical care.

The impact of hospital attendance on COVID-19 infection in cancer patients: an assessment of data from Guy's Cancer.

Objective: The authors monitored positivity rates of asymptomatic SARS-CoV-2 tests during the second wave of COVID-19 at Guy's Cancer Centre. Methods: Logistic regression was used to investigate factors associated with asymptomatic COVID-19 positivity rates between 1 December 2020 and 28 February 2021 (n = 1346). Results: Living 20-40 km and 40-60 km from the alpha variant was associated with a reduced chance of a positive SARS-CoV-2 test compared with 0-20 km (odds ratio [OR]: 0.20; CI: 0.07-0.53 and OR: 0.38; CI: 0.15-0.98, respectively). An increased number of tests was associated with an increased chance of a positive SARS-CoV-2 test (OR: 1.10; CI: 1.04-1.16). Conclusion: The COVID-19 positivity rate of asymptomatic cancer patients is partly due to increased testing, with some contribution from the proximity of the patient population to the epicenter of the alpha variant.

The UK's second wave of COVID-19 was partly driven by the emergence of the alpha variant in the southeast of England in November 2020, spreading farther to become the predominant variant across England in December 2020. The alpha variant is associated with a greater transmissibility rate, posing an increased risk to the vulnerable population. This raised concerns about the welfare of cancer patients, as the disease and its treatment can lower one's ability to fight infection. This resulted in some cancer treatments being interrupted or stopped on the grounds of clinical safety and some follow-up care being disrupted. In order to investigate the factors associated with asymptomatic COVID-19 positivity rates between 1 December 2020 and 28 February 2021, the authors gathered information on the number of tests taken per cancer patient at Guy's and extracted data from Guy's approved research database, which houses all routinely collected clinical data on cancer patients. This included demographic data, such as post code and age, as well as number of visits to the hospital. From their analysis, the authors concluded that living closer to the epicenter of the alpha variant was associated with a high positivity rate; also, the more tests taken, the more likely the patients are to test positive. Therefore, the authors can conclude that attending the hospital does not increase the risk of transmission.

An exploration of wellbeing in men diagnosed with prostate cancer undergoing active surveillance: a qualitative study.

PURPOSE: There is a growing emphasis on improving quality of life of people with prostate cancer. However, those undergoing active surveillance remain underrepresented in the literature with less known about their unique challenges. Therefore, we aimed to explore their lived experiences post diagnosis and its effect on their mental, social, and physical wellbeing. METHODS: Qualitative semi-structured interviews were conducted with 13 men undergoing active surveillance for low-risk disease. Thematic analysis was used to inductively co-construct themes through the lens of the biopsychosocial model. RESULTS: Mental wellbeing was strongly affected in our participants due to the overwhelming emotional impact of their diagnosis resulting in an 'Emotional Diagnostic Disequilibrium'. Informational awareness and education about prostate cancer helped patients with 'Recognition of the Impact'. Patients experienced an 'Unsettling Monitoring Cycle' due to the increased fear and anxiety around PSA monitoring appointments, with some men ignoring their mental wellbeing needs as their disease is 'A Future Problem'. 'Concealment of Diagnosis' left many feeling isolated and highlighted an important coping mechanisms in the 'Importance of a Social Support Network' theme. Finally, physical health mostly changed through alterations in health behaviour, leading to 'A Healthier Lifestyle' with increasing attribution of physical symptoms to age through 'Symptomatic Overshadowing'. CONCLUSION: The greatest disease impact on men's wellbeing was at the time of diagnosis, with a subsequent cyclical anxiety and fear of disease progression prominent around monitoring appointments. Future research should explore ways to better support patients with these issues and at these times, improving their quality of life.

Dissecting the genetic overlap of smoking behaviors, lung cancer, and chronic obstructive pulmonary disease: A focus on nicotinic receptors and nicotine metabolizing enzyme.

Smoking is a major contributor to lung cancer and chronic obstructive pulmonary disease (COPD). Two of the strongest genetic associations of smoking-related phenotypes are the chromosomal regions 15q25.1, encompassing the nicotinic acetylcholine receptor subunit genes CHRNA5-CHRNA3-CHRNB4, and 19q13.2, encompassing the nicotine metabolizing gene CYP2A6. In this study, we examined genetic relations between cigarettes smoked per day, smoking cessation, lung cancer, and COPD. Data consisted of genome-wide association study summary results. Genetic correlations were estimated using linkage disequilibrium score regression software. For each pair of outcomes, z-score-z-score (ZZ) plots were generated. Overall, heavier smoking and decreased smoking cessation showed positive genetic associations with increased lung cancer and COPD risk. The chromosomal region 19q13.2, however, showed a different correlational pattern. For example, the effect allele-C of the sentinel SNP (rs56113850) within CYP2A6 was associated with an increased risk of heavier smoking (z-score = 19.2; p = 1.10 × 10-81 ), lung cancer (z-score = 8.91; p = 5.02 × 10-19 ), and COPD (z-score = 4.04; p = 5.40 × 10-5 ). Surprisingly, this allele-C (rs56113850) was associated with increased smoking cessation (z-score = -8.17; p = 2.52 × 10-26 ). This inverse relationship highlights the need for additional investigation to determine how CYP2A6 variation could increase smoking cessation while also increasing the risk of lung cancer and COPD likely through increased cigarettes smoked per day.

The Current Evidence for Factors that Influence Treatment Decision Making in Localized Kidney Cancer: A Mixed Methods Systematic Review.

PURPOSE: With a growing number of treatment options for localized kidney cancer, patients and health care professionals have both the opportunity and the burden of selecting the most suitable management option. This mixed method systematic review aims to understand the barriers and facilitators of the treatment decision making process in localized kidney cancer. MATERIALS AND METHODS: We searched PubMed®, Embase® and Cochrane Central databases between January 1, 2004 and April 23, 2020 using the Joanna Briggs Manual for Evidence Synthesis and the Preferred Reporting Items for Systematic Review and Meta-analysis statement. We identified 553 unique citations; of these, 511 were excluded resulting in 42 articles included for synthesis. The Purpose, Respondents, Explanation, Findings and Significance and the Strengthening the Reporting of Observational Studies in Epidemiology checklist was applied. RESULTS: The key themes describing barriers and facilitators to treatment decision making were identified and categorized into 3 domains: 1) kidney cancer specific characteristics, 2) decision maker related criteria and 3) contextual factors. The main facilitators identified within these domains were size at diagnosis, age, comorbidities, body mass index, gender, nephrometry scoring systems, biopsy, socioeconomic status, family history of cancer, year of diagnosis, geographic region and practice pattern. The key barriers were race, gender, patient anxiety, low confidence in diagnostic and treatment options, cost of procedure, and practice patterns. CONCLUSIONS: Future interventions designed to improve the decision making process for localized kidney cancer should consider these barriers and facilitators to ensure a better patient experience.

Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium.

To provide insights into the biology of opioid dependence (OD) and opioid use (i.e., exposure, OE), we completed a genome-wide analysis comparing 4503 OD cases, 4173 opioid-exposed controls, and 32,500 opioid-unexposed controls, including participants of European and African descent (EUR and AFR, respectively). Among the variants identified, rs9291211 was associated with OE (exposed vs. unexposed controls; EUR z = -5.39, p = 7.2 × 10-8). This variant regulates the transcriptomic profiles of SLC30A9 and BEND4 in multiple brain tissues and was previously associated with depression, alcohol consumption, and neuroticism. A phenome-wide scan of rs9291211 in the UK Biobank (N > 360,000) found association of this variant with propensity to use dietary supplements (p = 1.68 × 10-8). With respect to the same OE phenotype in the gene-based analysis, we identified SDCCAG8 (EUR + AFR z = 4.69, p = 10-6), which was previously associated with educational attainment, risk-taking behaviors, and schizophrenia. In addition, rs201123820 showed a genome-wide significant difference between OD cases and unexposed controls (AFR z = 5.55, p = 2.9 × 10-8) and a significant association with musculoskeletal disorders in the UK Biobank (p = 4.88 × 10-7). A polygenic risk score (PRS) based on a GWAS of risk-tolerance (n = 466,571) was positively associated with OD (OD vs. unexposed controls, p = 8.1 × 10-5; OD cases vs. exposed controls, p = 0.054) and OE (exposed vs. unexposed controls, p = 3.6 × 10-5). A PRS based on a GWAS of neuroticism (n = 390,278) was positively associated with OD (OD vs. unexposed controls, p = 3.2 × 10-5; OD vs. exposed controls, p = 0.002) but not with OE (p = 0.67). Our analyses highlight the difference between dependence and exposure and the importance of considering the definition of controls in studies of addiction.

Gender Differences in Concerns About Participating in Cancer Research During the COVID-19 Pandemic.

INTRODUCTION: The ongoing SARS-CoV-2 pandemic is having major effects on cancer research, including major reductions in participant accrual to cancer clinical trials. Existing research has indicated that these steep drops in accrual rates to cancer clinical trials may be disproportionately affecting women. We sought to determine if there were gender differences in a dataset collected to examine participants' concerns about taking part in cancer research during the pandemic. METHODS: Between 5-19 June 2020, we distributed a fully anonymized survey via social media. We contacted 85 UK cancer patient organizations/charities and asked them to share our questionnaire on their platforms, of which 26 obliged. Patients aged 18 with a cancer diagnosis were eligible to participate and asked about their clinical and demographic characteristics, concerns about research participation given the COVID-19 pandemic, anxiety levels measured using the Generalized Anxiety Disorder-7 (GAD-7) scale, amongst other questions. Anxiety levels and concerns about participating were compared between men and women using univariate and multivariate analyses. RESULTS: 93 individuals, comprising n = 37 women and n = 56 men of various cancer types, provided survey responses. Independent t-tests showed that women reported higher anxiety scores, and concerns about participating in cancer research during COVID-19, than men. Linear regression analyses showed that anxiety scores predicted concerns about research participation in women but not men (pinteraction = 0.002). CONCLUSIONS: Cancer patients have concerns about participating in research during the COVID-19 pandemic that range from mild to serious. Furthermore, the relationship between general anxiety and concerns about research participation may be both more relevant and more pronounced in women than in men. Future work should examine the reasons why women are less likely to enrol in cancer trials during the COVID-19 pandemic.

Studying the Utility of Using Genetics to Predict Smoking-Related Outcomes in a Population-Based Study and a Selected Cohort.

INTRODUCTION: The purpose of this study is to examine the predictive utility of polygenic risk scores (PRSs) for smoking behaviors. AIMS AND METHODS: Using summary statistics from the Sequencing Consortium of Alcohol and Nicotine use consortium, we generated PRSs of ever smoking, age of smoking initiation, cigarettes smoked per day, and smoking cessation for participants in the population-based Atherosclerosis Risk in Communities (ARIC) study (N = 8638), and the Collaborative Genetic Study of Nicotine Dependence (COGEND) (N = 1935). The outcomes were ever smoking, age of smoking initiation, heaviness of smoking, and smoking cessation. RESULTS: In the European ancestry cohorts, each PRS was significantly associated with the corresponding smoking behavior outcome. In the ARIC cohort, the PRS z-score for ever smoking predicted smoking (odds ratio [OR]: 1.37; 95% confidence interval [CI]: 1.31, 1.43); the PRS z-score for age of smoking initiation was associated with age of smoking initiation (OR: 0.87; 95% CI: 0.82, 0.92); the PRS z-score for cigarettes per day was associated with heavier smoking (OR: 1.17; 95% CI: 1.11, 1.25); and the PRS z-score for smoking cessation predicted successful cessation (OR: 1.24; 95% CI: 1.17, 1.32). In the African ancestry cohort, the PRSs did not predict smoking behaviors. CONCLUSIONS: Smoking-related PRSs were associated with smoking-related behaviors in European ancestry populations. This improvement in prediction is greatest in the lowest and highest genetic risk categories. The lack of prediction in African ancestry populations highlights the urgent need to increase diversity in research so that scientific advances can be applied to populations other than those of European ancestry. IMPLICATIONS: This study shows that including both genetic ancestry and PRSs in a single model increases the ability to predict smoking behaviors compared with the model including only demographic characteristics. This finding is observed for every smoking-related outcome. Even though adding genetics is more predictive, the demographics alone confer substantial and meaningful predictive power. However, with increasing work in PRSs, the predictive ability will continue to improve.

The importance of patient and public involvement in cancer research: time to create a new job profile.

Tweetable abstract Need to add #PPI coordinator to required job profiles in #research: improve research quality, enthuse research team and ensure #patients and their families are the center of our research activities.

Effect of a brief physical activity-based presentation by a former patient for men treated with radical prostatectomy for prostate cancer: a mixed methods pilot study.

PURPOSE: Existing research indicates that physical activity (PA) is beneficial to men with prostate cancer (PCa). We examined the potential of a single-contact peer-support-based behavioural intervention to promote PA engagement in men treated for PCa. METHODS: A mixed methods design was employed, comprising a two-arm pragmatic trial and semi-structured interviews. The intervention was a 10-min PA-based presentation by a former patient, delivered in group seminars that are provided for patients as standard care. Seminars were alternately allocated to (a) cancer exercise specialist talk + patient speaker talk or (b) cancer exercise specialist talk only. Self-reported PA, exercise motivation, quality of life, fatigue and clinical and demographic characteristics were obtained from n = 148 (intervention: n = 69; control: n = 79) patients immediately prior to the seminar, and at follow-up ≈ 100 days later. Data were analysed using ANCOVA models and χ2 tests. Fourteen semi-structured interviews with intervention participants, which explored how the intervention was experienced, were analysed using a grounded theory-style approach. RESULTS: The intervention had no significant effect on quantitatively self-reported PA (p = 0.4). However, the intervention was statistically and clinically beneficial for fatigue (p = 0.04) and quality of life (p = 0.01). Qualitative analysis showed that the intervention was beneficial to psychological wellbeing and some participants had increased intention to engage in PA as a result of the intervention. CONCLUSIONS: A brief one-off PA-based presentation for men with PCa, delivered by a former patient alongside cancer exercise specialist advice, may result in clinically significant benefits to quality of life and may influence PA intention in certain individuals.

Development of a pre- and postoperative physical activity promotion program integrated in the electronic health system of patients with bladder cancer (The POPEYE study): An intervention mapping approach.

INTRODUCTION: Uptake of sufficient physical activity before and after radical cystectomy is important to improve physical and psychosocial outcomes in bladder cancer (BC) patients. METHODS: In this paper, we describe the development of an evidence-based and theory-informed intervention, guided by the steps of the Intervention Mapping approach, to promote physical activity before and after radical cystectomy in patients with BC. RESULTS: The intervention is a home-based physical activity program. The preoperative timeframe of the intervention is 4 or 12 weeks, depending on administration of neoadjuvant chemotherapy. Postoperatively, the intervention will last for 12 weeks. The intervention consists of a digital oncological platform (DOP), several consultations with healthcare professionals, personal booklet and follow-up phone calls. DOP includes information, diaries, visual representation of progress, mailbox, videos of peers and treating physician explaining the benefits of physical activity, photo material of exercises and a walking program with an activity tracker. Individual goals will be set and will be self-monitored by the patient through DOP. Patients will receive alerts and regular feedback. CONCLUSIONS: Intervention Mapping ensures transparency of all intervention components and offers a useful approach for the development of behaviour change interventions for cancer patients and for translation of theories into practice.

Barriers and facilitators to physical activity in men with prostate cancer: A qualitative and quantitative systematic review.

OBJECTIVE: Existing research indicates that moderate-to-vigorous physical activity (PA) alleviates treatment side effects and is associated with survival in men with prostate cancer. We aimed to ascertain the state of research investigating barriers and facilitators to PA in men with prostate cancer and synthesise existing qualitative research on this topic. METHODS: A systematic review of qualitative and quantitative studies was conducted. MEDLINE, Embase, PsycINFO, Web of Knowledge, CINAHL, PEDro, OATD, and WorldCat were searched to June 2019 for quantitative studies investigating causes or predictors of PA or qualitative studies describing patient-reported barriers/facilitators to PA, amongst men with prostate cancer of any stage. Thirty-two studies (n = 17 quantitative; n = 15 qualitative) were included from 3698 screened articles. RESULTS: Heterogeneity and unsystematic reporting of quantitative study methods prohibited a quantitative data synthesis. Thematic synthesis of qualitative studies produced five analytical themes: individual needs by treatment pathway, self-determination and its relationship with prostate cancer-related events, co-ordination and support of the clinical care team, individual preferences in discrete aspects of PA engagement style, and the potential for a bidirectional facilitative relationship between structured group PA and spontaneous peer support. Both qualitative and quantitative studies indicated incontinence as a barrier. CONCLUSIONS: Unsystematic reporting of interventions hinders a robust quantitative understanding of behavioural intervention research in this subject area. Good co-ordination of multidisciplinary care personnel could facilitate PA, by enabling a more comprehensive approach to targeting social cognitive processes. Well-timed intervention and access to highly individualised PA support, including optional group PA classes, seem to also be important facilitators.

Tobacco Use Prevalence and Smoking Cessation Pharmacotherapy Prescription Patterns Among Hospitalized Patients by Medical Specialty.

INTRODUCTION: Effective smoking cessation medications are readily available but may be underutilized in hospital settings. In our large, tertiary care hospital, we aimed to (1) characterize patient tobacco use prevalence across medical specialties, (2) determine smoking cessation pharmacotherapy prescription variation across specialties, and (3) identify opportunities for improvement in practice. METHODS: Using electronic health records at Barnes Jewish Hospital, we gathered demographic data, admitting service, admission route, length of stay, self-reported tobacco use, and smoking cessation prescriptions over a 6-year period, from 2010 to 2016. We then compared tobacco use prevalence and smoking cessation prescriptions across medical specialties using a cross-sectional, retrospective design. RESULTS: Past 12-month tobacco use was reported by patients in 27.9% of inpatient admissions; prescriptions for smoking cessation pharmacotherapy were provided during 21.5% of these hospitalizations. The proportion of patients reporting tobacco use was highest in psychiatry (55.3%) and lowest in orthopedic surgery (17.1%). Psychiatric patients who reported tobacco use were most likely to receive pharmacotherapy (71.8% of admissions), and plastic surgery patients were least likely (4.7% of admissions). Compared with Caucasian tobacco users, African American patients who used tobacco products were less likely to receive smoking cessation medications (adjusted odds ratio [aOR] = 0.65; 95% confidence interval [CI] = 0.62 to 0.68). CONCLUSIONS: Among hospitalized tobacco users, safe and cost-effective pharmacotherapies are under-prescribed. We identified substantial variation in prescribing practices across different medical specialties and demographic groups, suggesting the need for an electronic medical record protocol that facilitates consistent tobacco use cessation pharmacotherapy treatment. IMPLICATIONS: Tobacco use cessation pharmacotherapy is underutilized during hospitalization, and prescription rates vary greatly across medical specialties and patient characteristics. Hospitals may benefit from implementing policies and practices that standardize and automate the offer of smoking pharmacotherapy for all hospitalized patients who use tobacco.

Anxiety and depression in patients with non-site-specific cancer symptoms: data from a rapid diagnostic clinic.

Background: Rapid diagnostic clinics (RDCs) provide a streamlined holistic pathway for patients presenting with non-site specific (NSS) symptoms concerning of malignancy. The current study aimed to: 1) assess the prevalence of anxiety and depression, and 2) identify a combination of patient characteristics and symptoms associated with severe anxiety and depression at Guy's and St Thomas' Foundation Trust (GSTT) RDC in Southeast London. Additionally, we compared standard statistical methods with machine learning algorithms for predicting severe anxiety and depression. Methods: Patients seen at GSTT RDC between June 2019 and January 2023 completed the General Anxiety Disorder Questionnaire (GAD-7) and Patient Health Questionnaire (PHQ-8) questionnaires, at baseline. We used logistic regression (LR) and 2 machine learning (ML) algorithms (random forest (RF), support vector machine (SVM)) to predict risk of severe anxiety and severe depression. The models were constructed using a set of sociodemographic and clinical variables. Results: A total of 1734 patients completed GAD-7 and PHQ-8 questionnaires. Of these, the mean age was 59 years (Standard Deviation: 15.5), and 61.5% (n:1067) were female. Prevalence of severe anxiety (GAD-7 score ≥15) was 13.8% and severe depression (PHQ-8 score≥20) was 9.3%. LR showed that a combination of previous mental health condition (PMH, Adjusted Odds Rario (AOR) 3.28; 95% confidence interval (CI) 2.36-4.56), symptom duration >6 months (AOR 2.20; 95%CI 1.28-3.77), weight loss (AOR 1.88; 95% CI 1.36-2.61), progressive pain (AOR 1.71; 95%CI 1.26-2.32), and fatigue (AOR 1.36; 95%CI 1.01-1.84), was positively associated with severe anxiety. Likewise, a combination PMH condition (AOR 3.95; 95%CI 2.17-5.75), fatigue (AOR 2.11; 95%CI 1.47-3.01), symptom duration >6 months (AOR 1.98; 95%CI 1.06-3.68), weight loss (AOR 1.66; 95%CI 1.13-2.44), and progressive pain (AOR 1.50; 95%CI 1.04-2.16), was positively associated with severe depression. LR and SVM had highest accuracy levels for severe anxiety (LR: 86%, SVM: 85%) and severe depression (SVM: 89%, LR: 86%). Conclusion: High prevalence of severe anxiety and severe depression was found. PMH, fatigue, weight loss, progressive pain, and symptoms >6 months emerged as combined risk factors for both these psychological comorbidities. RDCs offer an opportunity to alleviate distress in patients with concerning symptoms by expediting diagnostic evaluations.

Genomic Insights for Personalized Care: Motivating At-Risk Individuals Toward Evidence-Based Health Practices.

Background: Lung cancer and tobacco use pose significant global health challenges, necessitating a comprehensive translational roadmap for improved prevention strategies. Polygenic risk scores (PRSs) are powerful tools for patient risk stratification but have not yet been widely used in primary care for lung cancer, particularly in diverse patient populations. Methods: We propose the GREAT care paradigm, which employs PRSs to stratify disease risk and personalize interventions. We developed PRSs using large-scale multi-ancestry genome-wide association studies and standardized PRS distributions across all ancestries. We applied our PRSs to 796 individuals from the GISC Trial, 350,154 from UK Biobank (UKBB), and 210,826 from All of Us Research Program (AoU), totaling 561,776 individuals of diverse ancestry. Results: Significant odds ratios (ORs) for lung cancer and difficulty quitting smoking were observed in both UKBB and AoU. For lung cancer, the ORs for individuals in the highest risk group (top 20% versus bottom 20%) were 1.85 (95% CI: 1.58 - 2.18) in UKBB and 2.39 (95% CI: 1.93 - 2.97) in AoU. For difficulty quitting smoking, the ORs (top 33% versus bottom 33%) were 1.36 (95% CI: 1.32 - 1.41) in UKBB and 1.32 (95% CI: 1.28 - 1.36) in AoU. Conclusion: Our PRS-based intervention model leverages large-scale genetic data for robust risk assessment across populations. This model will be evaluated in two cluster-randomized clinical trials aimed at motivating health behavior changes in high-risk patients of diverse ancestry. This pioneering approach integrates genomic insights into primary care, promising improved outcomes in cancer prevention and tobacco treatment.

A genome-wide association study of alcohol dependence.

Excessive alcohol consumption is one of the leading causes of preventable death in the United States. Approximately 14% of those who use alcohol meet criteria during their lifetime for alcohol dependence, which is characterized by tolerance, withdrawal, inability to stop drinking, and continued drinking despite serious psychological or physiological problems. We explored genetic influences on alcohol dependence among 1,897 European-American and African-American subjects with alcohol dependence compared with 1,932 unrelated, alcohol-exposed, nondependent controls. Constitutional DNA of each subject was genotyped using the Illumina 1M beadchip. Fifteen SNPs yielded P < 10(-5), but in two independent replication series, no SNP passed a replication threshold of P < 0.05. Candidate gene GABRA2, which encodes the GABA receptor alpha2 subunit, was evaluated independently. Five SNPs at GABRA2 yielded nominal (uncorrected) P < 0.05, with odds ratios between 1.11 and 1.16. Further dissection of the alcoholism phenotype, to disentangle the influence of comorbid substance-use disorders, will be a next step in identifying genetic variants associated with alcohol dependence.

Redefining Cancer Research Priorities in Low- and Middle-Income Countries in the Post-COVID-19 Global Context: A Modified Delphi Consensus Process.

PURPOSE: The post-COVID-19 funding landscape for cancer research globally has become increasingly challenging, particularly in resource-challenged regions (RCRs) lacking strong research ecosystems. We aimed to produce a list of priority areas for cancer research in countries with limited resources, informed by researchers and patients. METHODS: Cancer experts in lower-resource health care systems (as defined by the World Bank as low- and middle-income countries; N = 151) were contacted to participate in a modified consensus-seeking Delphi survey, comprising two rounds. In round 1, participants (n = 69) rated predetermined areas of potential research priority (ARPs) for importance and suggested missing ARPs. In round 2, the same participants (n = 49) rated an integrated list of predetermined and suggested ARPs from round 1, then undertook a forced choice priority ranking exercise. Composite voting scores (T-scores) were used to rank the ARPs. Importance ratings were summarized descriptively. Findings were discussed with international patient advocacy organization representatives. RESULTS: The top ARP was research into strategies adapting guidelines or treatment strategies in line with available resources (particularly systemic therapy) (T = 83). Others included cancer registries (T = 62); prevention (T = 52); end-of-life care (T = 53); and value-based and affordable care (T = 51). The top COVID-19/cancer ARP was strategies to incorporate what has been learned during the pandemic that can be maintained posteriorly (T = 36). Others included treatment schedule interruption (T = 24); cost-effective reduction of COVID-19 morbidity/mortality (T = 19); and pandemic preparedness (T = 18). CONCLUSION: Areas of strategic priority favored by cancer researchers in RCRs are related to adaptive treatment guidelines; sustainable implementation of cancer registries; prevention strategies; value-based and affordable cancer care; investments in research capacity building; epidemiologic work on local risk factors for cancer; and combatting inequities of prevention and care access.

Undergoing radical treatment for prostate cancer and its impact on wellbeing: A qualitative study exploring men's experiences.

INTRODUCTION: Quality of life in prostate cancer survivorship is becoming increasingly important, with mental and social wellbeing recognised as key components. However, limited global evaluation of psychosocial challenges experienced after treatment exists. Therefore, we aimed to explore the lived experiences of men who underwent radical treatment, and its psychosocial impact. MATERIAL AND METHODS: This qualitative study was conducted using 19 men who had undergone radical treatment (prostatectomy or radiotherapy) for their cancer. Semi-structured interviews were conducted exploring lived experiences of men after treatment. A Structured thematic analysis of collected data was undertaken, with an inductive co-construction of themes through the lens of the biopsychosocial model. Themes generated were considered within a psychological, social, and physical wellbeing framework. RESULTS: An initial knowledge gap meant mental wellbeing was strongly impacted initially leading to a 'Diagnostic Blow and the Search for Clarity'. Doubt over individuals' future resulted in 'An Uncertain Future' in many men. Once treatment was completed a 'Reflective journey' began, with men considering their outcomes and decisions made. Social wellbeing was also impacted with many identifying the 'Emotional Repercussions' on their relationships and the impact their diagnosis had on their partner and family. Many subsequently sought to increase their support through 'The Social Network and Advocacy', while physical changes led to an increased need for 'Social Planning'. Finally, physical wellbeing was highlighted by a continual acknowledgement of the 'Natural process of ageing' leading to a reluctancy to seek help, whilst simultaneously attempting to improve existing health via 'The Health Kick'. CONCLUSIONS: Radical treatments have a considerable impact on mental and social wellbeing of individuals. Anxiety after diagnosis and significant uncertainty over individual futures exist, with physical complications of treatment leading to social repercussions. Future research should aim to identify forms of support to improve quality of life of these men.