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BACKGROUND Leukaemias comprise a heterogenous group of haematological malignancies. In CONCORD-3, we analysed data for children (aged 0-14 years) and adults (aged 15-99 years) diagnosed with a haematological malignancy during 2000-14 in 61 countries. Here, we aimed to examine worldwide trends in survival from leukaemia, by age and morphology, in young patients (aged 0-24 years). METHODS We analysed data from 258 population-based cancer registries in 61 countries participating in CONCORD-3 that submitted data on patients diagnosed with leukaemia. We grouped patients by age as children (0-14 years), adolescents (15-19 years), and young adults (20-24 years). We categorised leukaemia subtypes according to the International Classification of Childhood Cancer (ICCC-3), updated with International Classification of Diseases for Oncology, third edition (ICD-O-3) codes. We estimated 5-year net survival by age and morphology, with 95% CIs, using the non-parametric Pohar-Perme estimator. To control for background mortality, we used life tables by country or region, single year of age, single calendar year and sex, and, where possible, by race or ethnicity. All-age survival estimates were standardised to the marginal distribution of young people with leukaemia included in the analysis. FINDINGS 164 563 young people were included in this analysis: 121 328 (73·7%) children, 22 963 (14·0%) adolescents, and 20 272 (12·3%) young adults. In 2010-14, the most common subtypes were lymphoid leukaemia (28 205 [68·2%] patients) and acute myeloid leukaemia (7863 [19·0%] patients). Age-standardised 5-year net survival in children, adolescents, and young adults for all leukaemias combined during 2010-14 varied widely, ranging from 46% in Mexico to more than 85% in Canada, Cyprus, Belgium, Denmark, Finland, and Australia. Individuals with lymphoid leukaemia had better age-standardised survival (from 43% in Ecuador to ≥80% in parts of Europe, North America, Oceania, and Asia) than those with acute myeloid leukaemia (from 32% in Peru to ≥70% in most high-income countries in Europe, North America, and Oceania). Throughout 2000-14, survival from all leukaemias combined remained consistently higher for children than adolescents and young adults, and minimal improvement was seen for adolescents and young adults in most countries. INTERPRETATION This study offers the first worldwide picture of population-based survival from leukaemia in children, adolescents, and young adults. Adolescents and young adults diagnosed with leukaemia continue to have lower survival than children. Trends in survival from leukaemia for adolescents and young adults are important indicators of the quality of cancer management in this age group. FUNDING Children with Cancer UK, the Institut National du Cancer, La Ligue Contre le Cancer, Centers for Disease Control and Prevention, Swiss Re, Swiss Cancer Research foundation, Swiss Cancer League, Rossy Family Foundation, US National Cancer Institute, and the American Cancer Society.

BACKGROUND: Urinary bladder cancer (UBC) is one of few cancers with an established gene-environment interaction (GxE) with smoking. However, it is unknown whether the interaction with tobacco use is present non-muscle invasive bladder cancer (NMIBC) and characteristics of prognostic relevance. We aimed to investigate if smoking status and/or smoking intensity interact with the effect of discovered variants on key NMIBC characteristics of tumor grade, stage, size, and patient age within the Bladder Cancer Prognosis Programme (BCPP) cohort. METHODS: Analyzed sample consisted of 546 NMIBC patients with valid smoking data from the BCPP. In a previous genome-wide association study (GWAS), we have identified 61 single nucleotide polymorphisms (SNPs) potentially associated with the NMIBC characteristics of tumor stage, grade, size, and patient age. In the current analysis, we have tested these SNPs for GxE with smoking. RESULTS: Out of 61 SNPs, 10 have showed suggestion (statistical significance level of P

Since its emergence in late 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a pandemic with more than 55 million reported cases and 1.3 million estimated deaths worldwide. While epidemiological and clinical characteristics of COVID-19 have been reported, risk factors underlying the transition from mild to severe disease among patients remain poorly understood. In this retrospective study, we analysed data of 879 confirmed SARS-CoV-2 positive patients admitted to a two-site NHS Trust hospital in London, England, between January 1st and May 26th, 2020, with a majority of cases occurring in March and April. We extracted anonymised demographic data, physiological clinical variables and laboratory results from electronic healthcare records (EHR) and applied multivariate logistic regression, random forest and extreme gradient boosted trees. To evaluate the potential for early risk assessment, we used data available during patients’ initial presentation at the emergency department (ED) to predict deterioration to one of three clinical endpoints in the remainder of the hospital stay: admission to intensive care, need for invasive mechanical ventilation and in-hospital mortality. Based on the trained models, we extracted the most informative clinical features in determining these patient trajectories. Considering our inclusion criteria, we have identified 129 of 879 (15%) patients that required intensive care, 62 of 878 (7%) patients needing mechanical ventilation, and 193 of 619 (31%) cases of in-hospital mortality. Our models learned successfully from early clinical data and predicted clinical endpoints with high accuracy, the best model achieving area under the receiver operating characteristic (AUC-ROC) scores of 0.76 to 0.87 (F1 scores of 0.42–0.60). Younger patient age was associated with an increased risk of receiving intensive care and ventilation, but lower risk of mortality. Clinical indicators of a patient’s oxygen supply and selected laboratory results, such as blood lactate and creatinine levels, were most predictive of COVID-19 patient trajectories. Among COVID-19 patients machine learning can aid in the early identification of those with a poor prognosis, using EHR data collected during a patient’s first presentation at ED. Patient age and measures of oxygenation status during ED stay are primary indicators of poor patient outcomes.

The severity of COVID-19 varies dramatically, ranging from asymptomatic infection to severe respiratory failure and death. Currently, few prognostic markers for disease outcomes exist, impairing patient triaging and treatment. Here, we train feed-forward neural networks on electronic health records of 819 confirmed SARS-CoV-2 positive patients admitted to a two-site NHS Trust hospital in London, England. To allow early risk assessment, the models ingest data collected in the emergency department (ED) to predict subsequent admission to intensive care, need for mechanical ventilation and in-hospital mortality. We apply univariate selection and recursive feature elimination to find the minimal subset of clinical variables needed for accurate prediction. Our models achieve AUC-ROC scores of 0.78 to 0.87, outperforming standard clinical risk scores. This accuracy is reached with as few as 13% of clinical variables routinely collected within the ED, which increases the practical applicability of such algorithms. Hence, state-of-the-art neural networks can predict severe COVID-19 accurately and early from a small subset of clinical variables.

BackgroundMutations in UGT1A gene have been associated with the development and prognosis of urinary bladder cancer (UBC). UGT1A proteins are involved in a spectrum of detoxification processes, hence the biological mechanism between UGT1A and UBC is difficult to elucidate. Concurrently, mild hyperbilirubinemia, caused by alterations in UGT1A, has been associated with multiple health outcomes. We have investigated the potential effect of mild hyperbilirubinemia on UBC risk and prognosis, using a Mendelian Randomization (MR) approach in the UK Biobank.MethodsData on 1,281 UBC patients and 4,071 controls was available for a two-stage least squares MR estimation with rs6742078 as an instrumental variable. First, linear regression was fitted to establish the relationship between the rs6742078 and bilirubin levels (total and unconjugated). Secondly, bilirubin values were used to predict tested outcomes under a logistic model. Both stages were adjusted for participant sex, smoking status, and age.ResultsMR analysis showed no significant effects of bilirubin levels on UBC risk (total bilirubin: OR=1.02, 95% CI: 0.99-1.04; unconjugated bilirubin: OR=1.02, 95% CI: 0.99-1.05). No effects were observed for events of UBC recurrence, progression, or survival.ConclusionOur study suggests mild hyperbilirubinemia is not associated with urinary bladder cancer risk and prognosis.

Non-muscle invasive bladder cancer (NMIBC) cases show high recurrence and progression rates, resulting in a substantial burden on patients and health systems. The evidence for genetic risk factors having a role in NMIBC susceptibility and prognosis make NMIBC a good candidate for personalised medicine approaches; however, multiple genome-wide association studies (GWAS) have primarily focused on NMIBC risk alone, even though investigating prognostic factors would arguably yield more benefit.This project aimed to identify genetic variants of genome-wide significance that might be associated with certain NMIBC characteristics at diagnosis, and potential gene-environment interaction effects with smoking. Furthermore, it aimed to address the importance of replication in genetic association studies by utilising a resource of UK Biobank, whilst introducing a novel approach for identifying prognostic events from routinely collected data. In conclusion, the current thesis provides additional evidence to the field of bladder cancer genetics and suggests further research topics of interest that could lead to optimising NMIBC patients’ care.

The reported treatment outcomes of children treated for cancer in Eastern European countries are inferior to those in Northern/Western Europe. We hypothesized that recent survival rates could be comparable to the current standards and performed a population-based analysis of treatment outcome of childhood acute myeloid leukemia (AML) in Lithuania, a small Eastern European country. Children 18 years old who were treated for AML from 2000 to 2013 were included (n = 54). Estimates of 5-year event-free (EFSThe current survival rate of Lithuanian children treated for AML was comparable to the expected rate in other parts of Europe. What is Known: • In the last three decades, significant improvement has been achieved in treating childhood cancer, with an overall survival (OS) rate of 80% in high-income countries. The difference in survival rates between Northern/Western and Eastern European countries as well as between high- and middle-/low-income countries is as much as 20%. Recently, the 5-year event-free survival rate of acute myeloid leukemia (AML) has reached60% in high-income countries. The survival rates for myeloproliferative diseases were the lowest in Eastern European countries. • The reported inferior survival rates were calculated based on outcome data of patients treated until 2007. The recent survival rates in Eastern European countries are unknown. What is New: • Being a small Eastern European country, Lithuania has experienced good economic growth during the last decade. We hypothesized that economic growth and gain of experience could result in better survival rates of children treated for cancer in our country in recent years. • A population-based analysis of treatment outcome of childhood AML treated in Lithuania in the recent years was performed for the first time. The survival rates of childhood AML in Lithuania are comparable to those of other high-income countries. Current survival rates of children treated for cancer in Eastern European countries could be comparable to the best current standards contributing to better European survival rates of childhood cancer in general.

Background: Non-muscle-invasive bladder cancer (NMIBC) causes a considerable health burden due to the high recurrence and progression rates. Past studies have identified multiple candidate loci associated with NMIBC prognosis, albeit lacking validation. Moreover, scarce reports exist on genetic susceptibility to independent prognostic predictors of NMIBC, such as stage or grade.Objective: To investigate genetic associations with NMIBC tumour and patient characteristics at the time of diagnosis.Design, setting, and participants: A sample of 653 NMIBC cases comes from the Bladder Cancer Prognosis Programme. Replication of the significant findings was conducted in the Nijmegen Bladder Cancer Study cohort (N = 1470).Outcome measurements and statistical analysis: A genome-wide association study (GWAS) was carried out for outcomes of tumour size (as a continuous variable in centimetres), stage (Tis and T1 vs Ta), grade (G3 vs G2 and G1), and age (as continuous [years] and dichotomous [70.2 yr as a cut-off] variables).Results and limitations: Significant (p Conclusions: Our study suggests that rs180940944 (NBEA) is associated with an increased NMIBC tumour size at the time of diagnosis. Given study limitations, further eplication is essential to validate the finding.Patient summary: The current study reports on a genome-wide association study on non-muscle-invasive bladder cancer tumour and patient characteristics. We suggest that NBEA gene might be associated with increased tumour size at the time of diagnosis. The result must be replicated to establish validity.

Epidemiological studies have shown inconsistent associations between dietary acrylamide exposure and the risk for various malignancies. This is the first epidemiological study on the association between acrylamide intake and the risk for cutaneous malignant melanoma (CMM). A case-cohort analysis was carried out within the prospective Netherlands Cohort Study on diet and cancer. Acrylamide intake was estimated from a food frequency questionnaire combined with acrylamide data for Dutch foods. After 17.3 years of follow-up, 501 microscopically confirmed cases of CMM were identified. There was an increased risk for CMM when dietary acrylamide was modeled as a continuous variable [hazard ratio: 1.13 (95% confidence interval: 1.01-1.26)] per 10 mu g increment among men but there was no clear linear trend over the quintiles (P-trend= 0.12). No associations were observed for women. Our study provides some indications that dietary acrylamide may increase the risk for CMM in men. Copyright (C) 2017 Wolters Kluwer Health, Inc. All rights reserved.

Introduction:Many germline associations have been reported for urinary bladder cancer (UBC) outcomes and prognostic characteristics. It is unclear whether there are overlapping genetic patterns for various prognostic endpoints. We aimed to review contemporary literature on genetic associations with UBC prognostic outcomes and to identify potential overlap in reported genes.Methods:EMBASE, MEDLINE, and PubMed databases were queried for relevant articles in English language without date restrictions. The initial search identified 1346 articles. After exclusions, 112 studies have been summarized. Cumulatively, 316 single-nucleotide polymorphisms (SNPs) were reported across prognostic outcomes (recurrence, progression, death) and characteristics (tumor stage, grade, size, age, risk group). There were considerable differences between studied outcomes in the context of genetic associations. The most commonly reported SNPs were located in OGG1, TP53, and MDM2. For outcomes with the highest number of reported associations (ie, recurrence and death), functional enrichment annotation yields different terms, potentially indicating separate biological mechanisms.Conclusions:Our study suggests that all UBC prognostic outcomes may have different biological origins with limited overlap. Further validation of these observations is essential to target a phenotype that could best predict patient outcome and advance current management practices.