A genetic variant in CDKN2A/2B locus was associated with poor prognosis in patients with 1 esophageal squamous cell carcinoma

Esophageal squamous cell carcinoma (ESCC) is among the leading causes of cancer related death. Despite extensive efforts in identifying valid cancer prognostic biomarkers, only a very small number of markers have been identified. Several genetic variants in the 9p21 region have been identified that are associated with the risk of multiple cancers. Here, we explored the association of two genetic variants in the 9p21 region, CDKN2A/B, rs10811661 and rs1333049 for the first time in 273 subjects with, or without ESCC. We observed that patients with ESCC had a higher frequency of a TT genotype for rs10811661 than individuals in the control group, and this polymorphism was also associated with tumor size. Moreover, a CC genotype for the rs1333049 polymorphism was associated with a reduced OS of patients with ESCC. In particular, patients with a CC (rs1333049) genotype had a significantly shorter OS (CC genotype: 34.5±8.9 months vs. CG+GG: 47.7±5.9 months; p value= 0.03). We have also shown the association of a novel genetic variant in CDKN2B gene with clinical outcome of ESCC patients. Further investigations are warranted in a larger population to explore the value of emerging markers as a risk stratification marker in ESCC. Key word: Esophageal squamous cell carcinoma, risk marker, CDKN2A/B, polymorphis

Factors Associated with The Incidence of Coronary Heart Disease in The Mashad: A Cohort Study

Coronary heart disease (CHD) is the leading cause of morbidity and mortality globally, and specifically in Iran. Accurate assessments of Coronary heart disease (CHD) incidence is very necessary for public health. In current study we aimed to investigate the incidence of CHD and importance of several classical, modifiable and un-modifiable risk factors for CHD among an urban population in eastern Iran after 6 years of follow-up. Methods The population of MASHAD cohort study were followed up for 6 years, every 3 years in two step by phone and who reported symptoms of CVD were asked to attend for a cardiac examination, to estimate the incidence of CHD with 95% confidence interval (95% CI) as well multiple logistic regression analysis was performed to assess the association of several baseline characteristics with incidence of CHD event. Evaluation of goodness-of-fit was done using ROC analysis. CHD cases divided into four different classes which include: stable angina, unstable angina pectoris, myocardial infarction and sudden cardiac death. Results In the six years\u27 follow-up of Mashhad study, the incidence rate of all CHD event in men and women in 100,000 people-years with 95% confidence intervals were 1920 (810-3030) and 1160 (730-1590), respectively. The areas under ROC curve (AUC), based on multivariate predictors of CHD outcome, was 0.7825. Conclusion Our findings indicated that the incidence rate of coronary heart diseases in MASHAD cohort study increases with age as well as our final model designed, was able to predict approximately 78% of CHD events in Iranian population

A genetic polymorphism in the CYP1B1 gene in patients with squamous cell carcinoma of the esophagus: an Iranian Mashhad cohort study recruited over 10 years

Background: Esophageal-cancer is the seventh most common-cause of cancer-related-deaths in men. Cytochrome-P450-family-1-subfamily-B-polypeptide-1 (CYP1B1) plays a role in the metabolism of xenobiotics, and is associated with several cancers. Here we investigated the association between a genetic-variant, CYP1B1-rs1056836, with the clinical-characteristics of patients with esophagus-squamous-cell-carcinoma (ESCC). Method: 117-patients with ESCC and 208 healthy-subjects were recruited. DNA was extracted and genotyped. Kaplan-Meier curves were utilized to assess overall and progression-free survival. The relationship between clinicopathological-data, disease-prognosis, and survival, were evaluated with the genotypes. Results: the genotypic frequency for GG, GC, and CC were 58.6%, 29.8%, 11.5% respectively in the healthy subjects and 51.8%, 36.14% and 12% in the ESCC group. An association between the GG genotype and stage of ESCC was found. Conclusion: Our findings suggest a relationship between the CYP1B1-rs1056836 genetic polymorphism and clinical features of ESCC, supporting further studies in larger-populations in different-ethnic groups, taking into account potentially important environmental-factors

The potential for circulating microRNAs in the diagnosis of myocardial infarction: a novel approach to disease diagnosis and treatment

MicroRNAs (miRNAs) are a class of small regulatory RNAs that control several cellular processes that may contribute to development of cardiovascular disease (CVD) and the pathophysiological consequences of myocardial infarction (MI). Only a very small-numbers of biomarkers in MI (e.g., Troponin) have been identified, which are sufficiently sensitive, specific and robust. There is growing evidence of an association between specific miRNAs in the pathogenesis of MI. miRNAs are transported within the systemic circulation via exosomes and microparticles, and are therefore detectable in blood, urine, saliva, and other fluid compartments. Dysregulation of myocardial-derived miRNAs, such as miR-1, miR-133, miR-499, and miR-208, have been identified as potential biomarkers in MI. Furthermore, alteration of the levels of some miRNAs during stress-induced apoptosis is reported as a novel therapeutic strategy for cardiac disease. Modulation of mir-24 appears to inhibit cardiomyocyte apoptosis, attenuate infarct size, and reduce cardiac dysfunction. A greater knowledge on the molecular mechanism underlying the functional role of emerging miRNAs, could provide novel insights into identifying of new biomarkers. This review highlights several recent preclinical and clinical studies on the role of miRNAs in myocardial infarction; novel miRNA-based therapeutic approaches for therapeutic intervention, and potential circulating miRNA to be served as biomarkers in patients with suspected MI

The association between a variant of the cyclin-dependent kinase inhibitor 2A/B gene and risk of cardiovascular disease

Background Cardiovascular disease (CVD) is the most common cause of morbidity and mortality globally. Despite progress being made in the diagnosis and treatment of CVDs, one third of deaths are due to CVDs. We have investigated the association between the rs1333049 polymorphism of the cyclin-dependent kinase inhibitor 2A/B (CDKN2A/B) gene with CVD outcomes in a population sample recruited as part of the Mashhad-Stroke and Heart-Atherosclerotic-Disorders (MASHAD) cohort. Methods and results Five hundred and nine individuals who had a median follow-up period of 10 years were recruited as part of the MASHAD cohort. Anthropometric, and biochemical parameters were assessed followed by genotyping using TaqMan-real-time-PCR based method. Our data showed that carriers of the GG genotype were significantly more likely to develop CVD, compared to those with a CC or CG genotypes (OR: 4.77, 95%CI: 2.62–8.68, p = 0.001). Similar result we also found in second population which were follow up for 10 years. In particular cases who had an event in recessive genetic model (CC vs CG + GG) had a higher risk of developing CVD (OR: 5.57, 95%CI: 2.80–11.06, p = 0.001). Conclusion We have found that carriers of the GG genotype of the CDKN2A/B gene locus were at increased risk of CVD in a representative population-based cohort, indicating further functional analysis to explore the value of emerging marker as a risk stratification biomarker to identify high risk cases

Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021

BackgroundFuture trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050.MethodsUsing forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. All analyses were done at the cause-specific level so that only risk factors deemed causal by the GBD comparative risk assessment influenced future trajectories of mortality for each disease. Cause-specific mortality was modelled using mixed-effects models with SDI and time as the main covariates, and the combined impact of causal risk factors as an offset in the model. At the all-cause mortality level, we captured unexplained variation by modelling residuals with an autoregressive integrated moving average model with drift attenuation. These all-cause forecasts constrained the cause-specific forecasts at successively deeper levels of the GBD cause hierarchy using cascading mortality models, thus ensuring a robust estimate of cause-specific mortality. For non-fatal measures (eg, low back pain), incidence and prevalence were forecasted from mixed-effects models with SDI as the main covariate, and YLDs were computed from the resulting prevalence forecasts and average disability weights from GBD. Alternative future scenarios were constructed by replacing appropriate reference trajectories for risk factors with hypothetical trajectories of gradual elimination of risk factor exposure from current levels to 2050. The scenarios were constructed from various sets of risk factors: environmental risks (Safer Environment scenario), risks associated with communicable, maternal, neonatal, and nutritional diseases (CMNNs; Improved Childhood Nutrition and Vaccination scenario), risks associated with major non-communicable diseases (NCDs; Improved Behavioural and Metabolic Risks scenario), and the combined effects of these three scenarios. Using the Shared Socioeconomic Pathways climate scenarios SSP2-4.5 as reference and SSP1-1.9 as an optimistic alternative in the Safer Environment scenario, we accounted for climate change impact on health by using the most recent Intergovernmental Panel on Climate Change temperature forecasts and published trajectories of ambient air pollution for the same two scenarios. Life expectancy and healthy life expectancy were computed using standard methods. The forecasting framework includes computing the age-sex-specific future population for each location and separately for each scenario. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline.FindingsIn the reference scenario forecast, global and super-regional life expectancy increased from 2022 to 2050, but improvement was at a slower pace than in the three decades preceding the COVID-19 pandemic (beginning in 2020). Gains in future life expectancy were forecasted to be greatest in super-regions with comparatively low life expectancies (such as sub-Saharan Africa) compared with super-regions with higher life expectancies (such as the high-income super-region), leading to a trend towards convergence in life expectancy across locations between now and 2050. At the super-region level, forecasted healthy life expectancy patterns were similar to those of life expectancies. Forecasts for the reference scenario found that health will improve in the coming decades, with all-cause age-standardised DALY rates decreasing in every GBD super-region. The total DALY burden measured in counts, however, will increase in every super-region, largely a function of population ageing and growth. We also forecasted that both DALY counts and age-standardised DALY rates will continue to shift from CMNNs to NCDs, with the most pronounced shifts occurring in sub-Saharan Africa (60·1% [95% UI 56·8–63·1] of DALYs were from CMNNs in 2022 compared with 35·8% [31·0–45·0] in 2050) and south Asia (31·7% [29·2–34·1] to 15·5% [13·7–17·5]). This shift is reflected in the leading global causes of DALYs, with the top four causes in 2050 being ischaemic heart disease, stroke, diabetes, and chronic obstructive pulmonary disease, compared with 2022, with ischaemic heart disease, neonatal disorders, stroke, and lower respiratory infections at the top. The global proportion of DALYs due to YLDs likewise increased from 33·8% (27·4–40·3) to 41·1% (33·9–48·1) from 2022 to 2050, demonstrating an important shift in overall disease burden towards morbidity and away from premature death. The largest shift of this kind was forecasted for sub-Saharan Africa, from 20·1% (15·6–25·3) of DALYs due to YLDs in 2022 to 35·6% (26·5–43·0) in 2050. In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5–17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7–11·3) in the high-income super-region to 23·9% (20·7–27·3) in north Africa and the Middle East. The Safer Environment scenario had its largest decrease in sub-Saharan Africa (5·2% [3·5–6·8]), the Improved Behavioural and Metabolic Risks scenario in north Africa and the Middle East (23·2% [20·2–26·5]), and the Improved Nutrition and Vaccination scenario in sub-Saharan Africa (2·0% [–0·6 to 3·6]).InterpretationGlobally, life expectancy and age-standardised disease burden were forecasted to improve between 2022 and 2050, with the majority of the burden continuing to shift from CMNNs to NCDs. That said, continued progress on reducing the CMNN disease burden will be dependent on maintaining investment in and policy emphasis on CMNN disease prevention and treatment. Mostly due to growth and ageing of populations, the number of deaths and DALYs due to all causes combined will generally increase. By constructing alternative future scenarios wherein certain risk exposures are eliminated by 2050, we have shown that opportunities exist to substantially improve health outcomes in the future through concerted efforts to prevent exposure to well established risk factors and to expand access to key health interventions.FundingBill & Melinda Gates Foundation.</p