Rare variant associations with plasma protein levels in the UK Biobank.

Integrating human genomics and proteomics can help elucidate disease mechanisms, identify clinical biomarkers and discover drug targets1-4. Because previous proteogenomic studies have focused on common variation via genome-wide association studies, the contribution of rare variants to the plasma proteome remains largely unknown. Here we identify associations between rare protein-coding variants and 2,923 plasma protein abundances measured in 49,736 UK Biobank individuals. Our variant-level exome-wide association study identified 5,433 rare genotype-protein associations, of which 81% were undetected in a previous genome-wide association study of the same cohort5. We then looked at aggregate signals using gene-level collapsing analysis, which revealed 1,962 gene-protein associations. Of the 691 gene-level signals from protein-truncating variants, 99.4% were associated with decreased protein levels. STAB1 and STAB2, encoding scavenger receptors involved in plasma protein clearance, emerged as pleiotropic loci, with 77 and 41 protein associations, respectively. We demonstrate the utility of our publicly accessible resource through several applications. These include detailing an allelic series in NLRC4, identifying potential biomarkers for a fatty liver disease-associated variant in HSD17B13 and bolstering phenome-wide association studies by integrating protein quantitative trait loci with protein-truncating variants in collapsing analyses. Finally, we uncover distinct proteomic consequences of clonal haematopoiesis (CH), including an association between TET2-CH and increased FLT3 levels. Our results highlight a considerable role for rare variation in plasma protein abundance and the value of proteogenomics in therapeutic discovery.

Rare variant contribution to human disease in 281,104 UK Biobank exomes.

Genome-wide association studies have uncovered thousands of common variants associated with human disease, but the contribution of rare variants to common disease remains relatively unexplored. The UK Biobank contains detailed phenotypic data linked to medical records for approximately 500,000 participants, offering an unprecedented opportunity to evaluate the effect of rare variation on a broad collection of traits1,2. Here we study the relationships between rare protein-coding variants and 17,361 binary and 1,419 quantitative phenotypes using exome sequencing data from 269,171 UK Biobank participants of European ancestry. Gene-based collapsing analyses revealed 1,703 statistically significant gene-phenotype associations for binary traits, with a median odds ratio of 12.4. Furthermore, 83% of these associations were undetectable via single-variant association tests, emphasizing the power of gene-based collapsing analysis in the setting of high allelic heterogeneity. Gene-phenotype associations were also significantly enriched for loss-of-function-mediated traits and approved drug targets. Finally, we performed ancestry-specific and pan-ancestry collapsing analyses using exome sequencing data from 11,933 UK Biobank participants of African, East Asian or South Asian ancestry. Our results highlight a significant contribution of rare variants to common disease. Summary statistics are publicly available through an interactive portal ( http://azphewas.com/ ).

Effects of protein-coding variants on blood metabolite measurements and clinical biomarkers in the UK Biobank.

Genome-wide association studies (GWASs) have established the contribution of common and low-frequency variants to metabolic blood measurements in the UK Biobank (UKB). To complement existing GWAS findings, we assessed the contribution of rare protein-coding variants in relation to 355 metabolic blood measurements-including 325 predominantly lipid-related nuclear magnetic resonance (NMR)-derived blood metabolite measurements (Nightingale Health Plc) and 30 clinical blood biomarkers-using 412,393 exome sequences from four genetically diverse ancestries in the UKB. Gene-level collapsing analyses were conducted to evaluate a diverse range of rare-variant architectures for the metabolic blood measurements. Altogether, we identified significant associations (p < 1 × 10-8) for 205 distinct genes that involved 1,968 significant relationships for the Nightingale blood metabolite measurements and 331 for the clinical blood biomarkers. These include associations for rare non-synonymous variants in PLIN1 and CREB3L3 with lipid metabolite measurements and SYT7 with creatinine, among others, which may not only provide insights into novel biology but also deepen our understanding of established disease mechanisms. Of the study-wide significant clinical biomarker associations, 40% were not previously detected on analyzing coding variants in a GWAS in the same cohort, reinforcing the importance of studying rare variation to fully understand the genetic architecture of metabolic blood measurements.

The penetrance of rare variants in cardiomyopathy-associated genes: A cross-sectional approach to estimating penetrance for secondary findings.

Understanding the penetrance of pathogenic variants identified as secondary findings (SFs) is of paramount importance with the growing availability of genetic testing. We estimated penetrance through large-scale analyses of individuals referred for diagnostic sequencing for hypertrophic cardiomyopathy (HCM; 10,400 affected individuals, 1,332 variants) and dilated cardiomyopathy (DCM; 2,564 affected individuals, 663 variants), using a cross-sectional approach comparing allele frequencies against reference populations (293,226 participants from UK Biobank and gnomAD). We generated updated prevalence estimates for HCM (1:543) and DCM (1:220). In aggregate, the penetrance by late adulthood of rare, pathogenic variants (23% for HCM, 35% for DCM) and likely pathogenic variants (7% for HCM, 10% for DCM) was substantial for dominant cardiomyopathy (CM). Penetrance was significantly higher for variant subgroups annotated as loss of function or ultra-rare and for males compared to females for variants in HCM-associated genes. We estimated variant-specific penetrance for 316 recurrent variants most likely to be identified as SFs (found in 51% of HCM- and 17% of DCM-affected individuals). 49 variants were observed at least ten times (14% of affected individuals) in HCM-associated genes. Median penetrance was 14.6% (±14.4% SD). We explore estimates of penetrance by age, sex, and ancestry and simulate the impact of including future cohorts. This dataset reports penetrance of individual variants at scale and will inform the management of individuals undergoing genetic screening for SFs. While most variants had low penetrance and the costs and harms of screening are unclear, some individuals with highly penetrant variants may benefit from SFs.

Gene-SCOUT: identifying genes with similar continuous trait fingerprints from phenome-wide association analyses.

Large-scale phenome-wide association studies performed using densely-phenotyped cohorts such as the UK Biobank (UKB), reveal many statistically robust gene-phenotype relationships for both clinical and continuous traits. Here, we present Gene-SCOUT, a tool used to identify genes with similar continuous trait fingerprints to a gene of interest. A fingerprint reflects the continuous traits identified to be statistically associated with a gene of interest based on multiple underlying rare variant genetic architectures. Similarities between genes are evaluated by the cosine similarity measure, to capture concordant effect directionality, elucidating clusters of genes in a high dimensional space. The underlying gene-biomarker population-scale association statistics were obtained from a gene-level rare variant collapsing analysis performed on over 1500 continuous traits using 394 692 UKB participant exomes, with additional metabolomic trait associations provided through Nightingale Health's recent study of 121 394 of these participants. We demonstrate that gene similarity estimates from Gene-SCOUT provide stronger enrichments for clinical traits compared to existing methods. Furthermore, we provide a fully interactive web-resource (http://genescout.public.cgr.astrazeneca.com) to explore the pre-calculated exome-wide similarities. This resource enables a user to examine the biological relevance of the most similar genes for Gene Ontology (GO) enrichment and UKB clinical trait enrichment statistics, as well as a detailed breakdown of the traits underpinning a given fingerprint.

Plasma hPG80 (Circulating Progastrin) as a Novel Prognostic Biomarker for early-stage breast cancer in a breast cancer cohort.

BACKGROUND: Recurrence and metastases are still frequent outcomes after initial tumour control in women diagnosed with breast cancer. Although therapies are selected based on tumour characteristics measured at baseline, prognostic biomarkers can identify those at risk of poor outcomes. Circulating progastrin or hPG80 was found to be associated with survival outcomes in renal and hepatocellular carcinomas and was a plausible prognostic biomarker for breast cancer. METHODS: Women with incident breast cancers from Calgary, Alberta, Canada enrolled in the Breast to Bone (B2B) study between 2010 to 2016 and provided blood samples prior to any treatment initiation. Plasma from these baseline samples were analysed for circulating progastrin or hPG80. Participant characteristics as well as tumour ones were evaluated for their association with hPG80 and survival outcomes (time to recurrence, recurrence - free survival, breast cancer specific survival and overall survival) in Cox proportional hazards regression models. RESULTS: The 464 participants with measurable hPG80 in this study had an average age of 57.03 years (standard deviation of 11.17 years) and were predominantly diagnosed with Stage I (52.2%) and Stage II (40.1%) disease. A total of 50 recurrences and 50 deaths were recorded as of June 2022. In Cox PH regression models adjusted for chemotherapy, radiation therapy, cancer stage and age at diagnosis, log hPG80 (pmol/L) significantly increased the risks for recurrence (Hazard Ratio (HR) = 1.330, 95% Confidence Interval (CI) = (0.995 - 1.777, p = 0.054)), recurrence-free survival (HR = 1.399, 95% CI = (1.106 - 1.770), p = 0.005) and overall survival (HR = 1.385, 95% CI = (1.046 - 1.834), = 0.023) but not for breast cancer specific survival (HR = 1.015, 95% CI = (0.684 - 1.505), p = 0.942). CONCLUSIONS: hPG80 levels measured at diagnosis were significantly associated with the risk of recurrence or death from any cause in women with breast cancer. Since the recurrence rates of breast cancer are still relatively high amongst women diagnosed at an early stage, identifying women at high risk of recurrence at their time of diagnosis is important. hPG80 is a promising new prognostic biomarker that could improve the identification of women at higher risk of poor outcomes.

Improvement in patient-reported pain among patients with metastatic cancer and its association with opioid prescribing.

PURPOSE: Opioids are a mainstay of cancer pain management; however, patients with metastatic cancer are often excluded from studies, leading to a lack of evidence on whether increased prescribing (dosage and/or duration) results in improved outcomes for this population. This study aimed to investigate whether increased opioid prescribing is associated with an improvement in patient-reported pain among patients with metastatic cancer. PATIENTS AND METHODS: A retrospective cohort of all adult patients diagnosed with stage IV cancers, who completed at least two patient-reported outcomes (PROs) within 30 days of each other, was identified from administrative data. Opioid prescriptions were categorized by dosage level and number of prescription days. Multivariable logistic regression was used to investigate the association between opioid prescribing and clinically important improvement in pain score (≥ 1 point change on the Edmonton Symptom Assessment System). RESULTS: A total of 2169 patients were included, 770 (35.5%) of whom had active opioid prescription between PROs, with an average daily dosage of 86.1 mg of oral morphine equivalent. Active prescription was associated with improvement in pain (OR = 2.17, P < 0.001). However, among patients with active prescription, neither dosage nor number of prescription days was significantly associated with pain improvement. CONCLUSION: Opioid prescription is important for treating cancer-related pain; however, increased dosage or duration may not be leading to greater improvements in pain. Patients with metastatic cancer who are receiving increased opioid prescribing may have difficult-to-treat pain and may benefit from multidisciplinary pain management strategies to supplement opioid prescription and improve outcomes.

Access to Diarylmethanols by Wittig Rearrangement of ortho-, meta-, and para-Benzyloxy-N-Butylbenzamides.

The N-butyl amide group, CONHBu, has been found to be an effective promoter of the [1,2]-Wittig rearrangement of aryl benzyl ethers and thus allow the two-step synthesis of isomerically pure substituted diarylmethanols starting from simple hydroxybenzoic acid derivatives. The method is compatible with a wide range of functional groups including methyl, methoxy, and fluoro, although not with nitro and, unexpectedly, is applicable to meta as well as ortho and para isomeric series.

Data-driven modelling of mutational hotspots and in silico predictors in hypertrophic cardiomyopathy.

BACKGROUND: Although rare missense variants in Mendelian disease genes often cluster in specific regions of proteins, it is unclear how to consider this when evaluating the pathogenicity of a gene or variant. Here we introduce methods for gene association and variant interpretation that use this powerful signal. METHODS: We present statistical methods to detect missense variant clustering (BIN-test) combined with burden information (ClusterBurden). We introduce a flexible generalised additive modelling (GAM) framework to identify mutational hotspots using burden and clustering information (hotspot model) and supplemented by in silico predictors (hotspot+ model). The methods were applied to synthetic data and a case-control dataset, comprising 5338 hypertrophic cardiomyopathy patients and 125 748 population reference samples over 34 putative cardiomyopathy genes. RESULTS: In simulations, the BIN-test was almost twice as powerful as the Anderson-Darling or Kolmogorov-Smirnov tests; ClusterBurden was computationally faster and more powerful than alternative position-informed methods. For 6/8 sarcomeric genes with strong clustering, Clusterburden showed enhanced power over burden-alone, equivalent to increasing the sample size by 50%. Hotspot+ models that combine burden, clustering and in silico predictors outperform generic pathogenicity predictors and effectively integrate ACMG criteria PM1 and PP3 to yield strong or moderate evidence of pathogenicity for 31.8% of examined variants of uncertain significance. CONCLUSION: GAMs represent a unified statistical modelling framework to combine burden, clustering and functional information. Hotspot models can refine maps of regional burden and hotspot+ models can be powerful predictors of variant pathogenicity. The BIN-test is a fast powerful approach to detect missense variant clustering that when combined with burden information (ClusterBurden) may enhance disease-gene discovery.

Further Studies on the [1,2]-Wittig Rearrangement of 2-(2-Benzyloxy)aryloxazolines.

The behaviour of 14 ortho-functionalised 2-aryloxazolines (11 of them prepared and characterised for the first time) with butyllithium has been examined. Significant limitations to the Wittig rearrangement of such systems are revealed. In terms of asymmetric Wittig rearrangement, good diastereoselectivity is obtained with a valine-derived 4-isopropyl oxazoline, but this is compromised by racemisation upon hydrolysis. More encouraging selectivity is achieved in the Wittig rearrangement of an acyclic phenylalanine-derived ortho-benzyloxy benzamide.

Protective alleles and modifier variants in human health and disease.

The combination of next-generation sequencing technologies and high-throughput genotyping platforms has revolutionized the pursuit of genetic variants that contribute towards disease. Furthermore, these technologies have provided invaluable insight into the genetic factors that prevent individuals from developing disease. Exploiting the evolutionary mechanisms that were designed by nature to help prevent disease is an attractive line of enquiry. Such efforts have the potential to generate a therapeutic target roadmap and rejuvenate the current drug-discovery pathway. By delineating the genomic factors that are protective against disease, there is potential to derive highly effective, genomically anchored medicines that assist in maintaining health.

Incremental value of left atrial booster and reservoir strain in predicting atrial fibrillation in patients with hypertrophic cardiomyopathy: a cardiovascular magnetic resonance study.

BACKGROUND: Left atrial (LA) size and function are known predictors of new onset atrial fibrillation (AF) in hypertrophic cardiomyopathy (HCM) patients. Components of LA deformation including reservoir, conduit, and booster function provide additional information on atrial mechanics. Whether or not LA deformation can augment our ability to predict the risk of new onset AF in HCM patients beyond standard measurements is unknown. METHODS: We assessed LA size, function, and deformation on cardiovascular magnetic resonance (CMR) in 238 genotyped HCM patients and compared this with twenty age, sex, blood pressure and body mass index matched control subjects. We further evaluated the determinants of new onset AF in HCM patients. RESULTS: Compared to control subjects, HCM patients had higher LA antero-posterior diameter, lower LA ejection fraction and lower LA reservoir (19.9 [17.1, 22.2], 21.6 [19.9, 22.9], P = 0.047) and conduit strain (10.6 ± 4.4, 13.7 ± 3.3, P = 0.002). LA booster strain did not differ between healthy controls and HCM patients, but HCM patients who developed new onset AF (n = 33) had lower booster strain (7.6 ± 3.3, 9.5 ± 3.0, P = 0.001) than those that did not (n = 205). In separate multivariate models, age, LA ejection fraction, and LA booster and reservoir strain were each independent determinants of AF. Age ≥ 55 years was the strongest determinant (HR 6.62, 95% CI 2.79-15.70), followed by LA booster strain ≤ 8% (HR 3.69, 95% CI 1.81-7.52) and LA reservoir strain ≤ 18% (HR 2.56, 95% CI 1.24-5.27). Conventional markers of HCM phenotypic severity, age and sudden death risk factors were associated with LA strain components. CONCLUSIONS: LA strain components are impaired in HCM and, together with age, independently predicted the risk of new onset AF. Increasing age and phenotypic severity were associated with LA strain abnormalities. Our findings suggest that the routine assessment of LA strain components and consideration of age could augment LA size in predicting risk of AF, and potentially guide prophylactic anticoagulation use in HCM.

C-2 derivatized 8-sulfonamidoquinolines as antibacterial compounds.

A series of C-2 derivatized 8-sulfonamidoquinolines were evaluated for their antibacterial activity against the common mastitis causative pathogens Streptococcus uberis, Staphylococcus aureus and Escherichia coli, both in the presence and absence of supplementary zinc (50 µM ZnSO4). The vast majority of compounds tested were demonstrated to be significantly more active against S. uberis when in the presence of supplementary zinc (MICs as low as 0.125 µg/mL were observed in the presence of 50 µM ZnSO4). Compounds 5, 34-36, 39, 58, 79, 82, 94 and 95 were shown to display the greatest antibacterial activity against S. aureus (MIC ≤ 8 µg/mL; both in the presence and absence of supplementary zinc), while compounds 56, 58 and 66 were demonstrated to also exhibit activity against E. coli (MIC ≤ 16 µg/mL; under all conditions). Compounds 56, 58 and 66 were subsequently confirmed to be bactericidal against all three mastitis pathogens studied, with MBCs (≥3log10 CFU/mL reduction) of ≤ 32 µg/mL (in both the presence and absence of 50 µM ZnSO4). To validate the sanitizing activity of compounds 56, 58 and 66, a quantitative suspension disinfection (sanitizer) test was performed. Sanitizing activity (>5log10 CFU/mL reduction in 5 min) was observed against both S. uberis and E. coli at compound concentrations as low as 1 mg/mL (compounds 56, 58 and 66), and against S. aureus at 1 mg/mL (compound 58); thereby validating the potential of compounds 56, 58 and 66 to function as topical sanitizers designed explicitly for use in non-human applications.

Associations between baseline symptom burden as assessed by patient-reported outcomes and overall survival of patients with metastatic cancer.

BACKGROUND: Serial symptom assessments using patient-reported outcomes may be challenging to implement in routine clinical practices. We aimed to determine if a single measurement of symptom burden at the time of metastatic diagnosis is associated with survival. METHODS: We examined baseline patient-reported outcomes (within 90 days of diagnosis) of patients newly diagnosed with metastatic breast, lung, colorectal, or prostate cancer using the revised Edmonton Symptom Assessment System (ESASr) questionnaire. The ESASr was categorized into physical, psychological, and total symptom domains whereby scores were classified as none to mild (0-3) or moderate to severe (4-10). Multivariable Cox proportional hazards models were constructed to evaluate the effect of baseline symptom scores on overall survival. RESULTS: We identified 1316 patients eligible for analysis. There were 181, 601, 240, and 294 patients with breast, lung, colorectal, and prostate cancer, respectively. Approximately one-quarter of all patients reported moderate to severe physical, psychological, and total symptom subscores. On multivariable Cox regression analysis, older age (P < 0.001), male sex (P = 0.002), primary lung cancer (P < 0.001), and smoking in the previous month (P = 0.007) were predictive of inferior overall survival as were baseline moderate to severe physical (hazard ratio, 1.49; 95% confidence interval, 1.16-1.90; P = 0.002) and total symptom subscores (hazard ratio, 1.38; 95% confidence interval, 1.06-1.81; P = 0.017). CONCLUSIONS: A single assessment of baseline symptom burden using the ESASr in patients with metastatic cancer has significant prognostic value. This may represent a feasible first step towards routine collection of patient-reported outcomes in real-world settings where serial symptom measurements can be challenging to implement.

Symptom burden in patients with common cancers near end-of-life and its associations with clinical characteristics: a real-world study.

BACKGROUND: Patients dying with cancer can experience various physical and psychological symptoms. We aimed to determine the type and severity of symptoms within the last 6 months of life in a large real-world cohort of patients with cancer. METHODS: We examined prospectively collected patient-reported outcomes of patients with lung, colorectal, breast, prostate or pancreatic cancer using the revised Edmonton Symptom Assessment System (ESASr) questionnaire from a large province in Canada from 2016 to 2017. The ESASr was categorized into physical and psychological symptom subscores and total symptom score, and each was classified as none to mild (0-3) or moderate to severe (4-10) based on intensity. Multivariable logistic regression analyses were performed to evaluate the relationship between clinical characteristics and symptom scores. RESULTS: We identified 1159 patients eligible for analysis, of whom 52.2% were men and median age was 68 years. There were 613, 192, 149, 111 and 94 patients with lung, colorectal, breast, prostate and pancreatic cancer, respectively. While approximately half of patients reported moderate to severe physical symptom subscores and total symptom scores, only one-third reported moderate to severe psychological subscores. On multivariable logistic regression analyses, women were more likely to report moderate to severe physical (odds ratio [OR], 1.52; 95% confidence interval [CI], 1.08-2.12; P = 0.016), psychological (OR, 1.60; 95% CI, 1.14-2.26; P = 0.006) and total symptom scores (OR, 1.80; 95% CI, 1.28-2.51; P = 0.001). Patients with lung cancer were also more likely to report moderate to severe physical and psychological subscores (OR, 1.95; 95% CI, 1.28-2.96; P = 0.002 and OR, 1.78; 95% CI, 1.13-2.81; P = 0.013) and total symptom scores (OR, 1.83; 95% CI, 1.20-2.81; P = 0.005). Finally, those closer to death were more likely to report moderate to severe physical symptom subscores (OR, 2.07; 95% CI, 1.33-3.23; P = 0.001) and total symptom scores (OR, 2.29; 95% CI, 1.46-3.60; P < 0.001), but not psychological symptom scores (OR, 1.34; 95% CI, 0.84-2.14; P = 0.210). CONCLUSIONS: There is significant symptom burden in patients with cancer near the end-of-life. Further, physical symptoms appear to be more intense than psychological symptoms. Symptom-directed care is still needed to improve the quality of end-of-life.

The Impact of Color Fidelity on Evaluation of Patients in the Outpatient Dermatologic Setting.

BACKGROUND AND OBJECTIVES: To demonstrate that high color fidelity light-emitting diode (LED) sources are preferred by dermatologists for the evaluation of patients during standard-of-care, outpatient visits when compared to low color fidelity LED sources similar to fluorescent lighting. STUDY DESIGN/MATERIALS AND METHODS: Three different LED sources were installed in exam rooms at a single, academic, medical institution (low color fidelity [82 color rendering index (CRI)] similar to fluorescent lighting, and high color fidelity [97 CRI and 96+red CRI]). A cross-sectional survey study was conducted in three parts. Naturalness (i.e. ability to reproduce natural, daylight conditions), effectiveness, color contrast, comfort, and overall performance of each LED source were rated on a 5-point scale from 0 to 4 with 0 being the worse, and 4 being the best. The first part included a survey of board-certified dermatologists (n = 3) assessing their visual experience while clinically evaluating a subset of patients during standard-of-care outpatient visits. The second survey was completed by dermatologic medical providers (n = 55) at three separate monthly departmental Grand Rounds sessions in which standardized patients were evaluated with the LED sources. Lastly, patients (n = 75) finished a survey assessing the comfort level of the LED sources. RESULTS: In the first part of the study, all dermatologists significantly preferred the high color fidelity sources over low color fidelity sources based on all five evaluation criteria, with two preferring the 97 CRI LED source overall, while the third dermatologist favored 96+red CRI. Assessments provided by the 55 participants at Grand Rounds demonstrated that the 97 CRI was most "liked." Patients also preferred the high color fidelity LED source, reporting the 96+red CRI source was the "most comfortable." CONCLUSION: Dermatologists, dermatologists-in-training and mid-level providers significantly prefer high color fidelity LED sources for outpatient evaluation of dermatologist patients in enclosed spaces, rating them the more natural, effective, comfortable, and providing superior color contrast than low color sources. Patients also favor high color fidelity LED sources as being the most comfortable in the clinic room. Lasers Surg. Med. © 2020 Wiley Periodicals LLC.

Patient-Reported Symptom Burden Near the End of Life in Patients With Gynaecologic Cancers.

OBJECTIVE: There are limited data on patient-reported outcomes near the end of life in patients with gynaecologic cancers. This study aimed to assess the symptom burden in the last 6 months of life in a real-world cohort. METHODS: Patients diagnosed with metastatic gynaecologic malignancies from 2016 to 2019 who completed the revised Edmonton Symptom Assessment System (ESASr) questionnaire within 6 months of death in a large Canadian province were identified. Patient-reported symptom scores were categorized as none to mild (0-3) and moderate to severe (4-10). Individual symptoms were subsequently grouped into physical, psychological, and total subscores. The severity of symptoms was further analyzed for any associations with age, time to death, and primary tumour site (ovarian vs. uterocervical and vulvovaginal). RESULTS: We identified 107 patients with gynaecologic malignancies including 59 ovarian, 29 uterocervical, and 19 vulvovaginal cancers. The median ages at diagnosis and questionnaire completion were 64 and 65 years, respectively. The median time from completing the ESASr questionnaire to death was 65 days. Overall, physical and psychological symptoms were moderate to severe in 57.9% and 40.2% of patients, respectively. Among the individual symptoms, tiredness was the most commonly reported moderate to severe symptom (74.9%), while shortness of breath was least commonly reported (31.6%). While physical (P < 0.001) and total symptom (P = 0.009) subscores were more likely to be moderate to severe in intensity as death approached, the psychological subscore (P = 0.744) had no relationship with time to death. Longer time to death was predictive of lower physical (P = 0.002) and total symptom (P = 0.002) subscores, while a primary uterocervical cancer site was associated with a lower psychological symptom subscore (P = 0.042). CONCLUSIONS: In the real-world setting, unique symptom trajectories can emerge for patients with gynaecologic cancer near the end of life. Knowledge of these specific symptom patterns can help inform the development and delivery of targeted palliative interventions to improve quality of life for these patients.

Rationalisation of Patterns of Competing Reactivity by X-ray Structure Determination: Reaction of Isomeric (Benzyloxythienyl)oxazolines with a Base.

Three isomeric (benzyloxythienyl)oxazolines 9, 11 and 13 have been prepared and are found, upon treatment with a strong base, to undergo either Wittig rearrangement or intramolecular attack of the benzylic anion on the oxazoline function to give products derived from cleavage of the initially formed 3-aminothienofuran products. This pattern of reactivity is directly linked to the distance between the two reactive groups as determined by X-ray diffraction, with the greatest distance in 11 leading to exclusive Wittig rearrangement, the shortest distance in 13 giving exclusively cyclisation-derived products, and the intermediate distance in 9 leading to both processes being observed. The corresponding N-butyl amides were also obtained in two cases and one of these undergoes efficient Wittig rearrangement leading to a thieno[2,3-c]pyrrolone product.

Emerging cancer incidence trends in Canada: The growing burden of young adult cancers.

BACKGROUND: Recent studies have identified increases in cancer incidence among younger adults for some cancers. This study examined incidence trends for 28 cancers in Canada by age and birth cohort from 1983 to 2012. METHODS: Canadian incidence data for 20 to 84 year-olds were obtained from the Cancer Incidence in Five Continents Plus database. Age-period-cohort modeling was used to estimate the average annual percentage changes (AAPCs) and incidence rate ratios (IRRs) for 10-year birth cohorts (reference cohort, 1943) for 28 cancer types. RESULTS: Incidence increased for 13 cancer sites among adults younger than 50 years (1983-2012), with the largest increase occurring for rectal cancer (AAPC20-24 , 5.62; 95% confidence interval [CI], 3.77-7.51) and colon cancer (AAPC20-24 , 4.08; 95% CI, 2.89-5.29). Compared with the 1943 birth cohort, persons born circa 1988 had approximately 5- and 2-fold greater risks of rectal cancer (IRR, 4.98; 95% CI, 2.87-8.63) and colon cancer (IRR, 2.31; 95% CI, 1.62-3.30), respectively. Incidence decreased among younger adults for 9 sites (1983-2012), with the largest decreases observed for lung cancer (AAPC25-29 ,-2.29; 95% CI, -3.57 to -0.98), cervical cancer (AAPC25-29 , -1.29; 95% CI, -1.67 to -0.90), and melanoma (AAPC25-29 , -0.61; 95% CI, -0.97 to -0.24). Decreased risks in recent birth cohorts were observed for all sites with decreasing trends in younger adults. For example, the risk of lung cancer was 60% lower in the 1988 birth cohort than the 1943 birth cohort (IRR, 0.42; 95% CI, 0.23-0.78). CONCLUSIONS: Incidence among young adults is increasing for some cancers associated with obesity but decreasing for many cancers associated with infections or smoking. Although further studies are needed to replicate these findings and understand the etiology of early-onset cancers, measures to promote healthy behaviors in young adults warranted.

Substituted sulfonamide bioisosteres of 8-hydroxyquinoline as zinc-dependent antibacterial compounds.

A series of substituted sulfonamide bioisosteres of 8-hydroxyquinoline were evaluated for their antibacterial activity against the common mastitis causative pathogens Streptococcus uberis, Staphylococcus aureus and Escherichia coli, both in the presence and absence of supplementary zinc. Compounds 9a-e, 10a-c, 11a-e, 12 and 13 were demonstrated to have MICs of 0.0625 µg/mL against S. uberis in the presence of 50 µM ZnSO4. Against S. aureus compounds 9g (MIC 4 µg/mL) and 11d (MIC 8 µg/mL) showed the greatest activity, whereas all compounds were found to be inactive against E. coli (MIC > 256 µg/mL); again in the presence of 50 µM ZnSO4. All compounds were demonstrated to be significantly less active in the absence of supplementary zinc. Compound 9g was subsequently confirmed to be bactericidal, with an MBC (≥3log10 cfu/mL reduction) of 0.125 µg/mL against S. uberis in the presence of 50 µM ZnSO4. To validate the sanitising activity of compound 9g in the presence of supplementary zinc, a quantitative suspension disinfection (sanitizer) test was performed. In this preliminary test, sanitizing activity (>5log10 reduction of CFU/mL in 5 min) was observed against S. uberis for compound 9g at concentrations as low as 1 mg/mL, validating the potential of this compound to function as a topical sanitizer against the major environmental mastitis-causing microorganism S. uberis.