The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019

BACKGROUND: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. METHODS: The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk–outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. FINDINGS: Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01–4·94) deaths and 105 million (95·0–116) DALYs for both sexes combined, representing 44·4% (41·3–48·4) of all cancer deaths and 42·0% (39·1–45·6) of all DALYs. There were 2·88 million (2·60–3·18) risk-attributable cancer deaths in males (50·6% [47·8–54·1] of all male cancer deaths) and 1·58 million (1·36–1·84) risk-attributable cancer deaths in females (36·3% [32·5–41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6–28·4) and DALYs by 16·8% (8·8–25·0), with the greatest percentage increase in metabolic risks (34·7% [27·9–42·8] and 33·3% [25·8–42·0]). INTERPRETATION: The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden

Single-cell multi-omics analysis identifies context-specific gene regulatory gates and mechanisms

There is a growing interest in inferring context specific gene regulatory networks from single-cell RNA sequencing (scRNA-seq) data. This involves identifying the regulatory relationships between transcription factors (TFs) and genes in individual cells, and then characterizing these relationships at the level of specific cell types or cell states. In this study, we introduce scGATE (single-cell gene regulatory gate) as a novel computational tool for inferring TF–gene interaction networks and reconstructing Boolean logic gates involving regulatory TFs using scRNA-seq data. In contrast to current Boolean models, scGATE eliminates the need for individual formulations and likelihood calculations for each Boolean rule (e.g. AND, OR, XOR). By employing a Bayesian framework, scGATE infers the Boolean rule after fitting the model to the data, resulting in significant reductions in time-complexities for logic-based studies. We have applied assay for transposase-accessible chromatin with sequencing (scATAC-seq) data and TF DNA binding motifs to filter out non-relevant TFs in gene regulations. By integrating single-cell clustering with these external cues, scGATE is able to infer context specific networks. The performance of scGATE is evaluated using synthetic and real single-cell multi-omics data from mouse tissues and human blood, demonstrating its superiority over existing tools for reconstructing TF-gene networks. Additionally, scGATE provides a flexible framework for understanding the complex combinatorial and cooperative relationships among TFs regulating target genes by inferring Boolean logic gates among them

Phylogenetic and phylodynamic study of Human T-cell lymphotropic virus Type 1 (HTLV-1) in Iran

Human T-lymphotropic virus type-1 (HTLV-1) is a retrovirus that causes the neurological disorder HTLV-1 associated myelopathy/ tropical spastic paraparesis (HAM/TSP) and/or adult T-cell leukemia/lymphoma (ATLL). Iran is one of the endemic regions of the HTLV-1 in the Middle East. To infer the origin of the virus in Iran and to follow the movements of human population and routes of virus spread to this country, phylogenetic and phylodynamic analyses were performed. To this purpose, the long terminal repeat (LTR) region of HTLV-1 was used. New LTR sequences were obtained from 100 blood samples which infected with HTLV-1. Moreover, all Iranian LTR sequences which have been reported so far, were obtained from GenBank database. Sequences were aligned and maximum-likelihood and Bayesian tree topologies were explored. After identification of Iranian specific cluster, molecular-clock and coalescent models were used to estimate time to the most recent common ancestor (tMRCA). Bayesian Skyline Plots (BSP), representing population dynamics HTLV-1 strains back to the MRCA, were estimated using BEAST software. Phylogenetic analysis demonstrated that the Iranian, Kuwaiti, German, Israelite and southern Indian isolates are located within the widespread �transcontinental� subgroup A clade of HTLV-1 Cosmopolitan subtype a. Molecular clock analysis of the Iranian cluster dated back their respective tMRCA to be 1290 AC with a 95 HPD confidence intervals (918, 1517). BSPs indicated a rapid exponential growth rate in the effective number of infections prior the 15th century. Our results support the hypothesis of a multiple introductions of HTLV-1 into Iran with the majority of introductions occurring in prior the 15th century, at the same time the Mongol invasion of Iran. Our results further suggest that HTLV-1 introduction into Iran was facilitated by the commercial/migratory linkage as known as the ancient Silk Road which linked China to Antioch (now in Turkey). © 202

Phylogenetic and phylodynamic study of Human T-cell lymphotropic virus Type 1 (HTLV-1) in Iran

Human T-lymphotropic virus type-1 (HTLV-1) is a retrovirus that causes the neurological disorder HTLV-1 associated myelopathy/ tropical spastic paraparesis (HAM/TSP) and/or adult T-cell leukemia/lymphoma (ATLL). Iran is one of the endemic regions of the HTLV-1 in the Middle East. To infer the origin of the virus in Iran and to follow the movements of human population and routes of virus spread to this country, phylogenetic and phylodynamic analyses were performed. To this purpose, the long terminal repeat (LTR) region of HTLV-1 was used. New LTR sequences were obtained from 100 blood samples which infected with HTLV-1. Moreover, all Iranian LTR sequences which have been reported so far, were obtained from GenBank database. Sequences were aligned and maximum-likelihood and Bayesian tree topologies were explored. After identification of Iranian specific cluster, molecular-clock and coalescent models were used to estimate time to the most recent common ancestor (tMRCA). Bayesian Skyline Plots (BSP), representing population dynamics HTLV-1 strains back to the MRCA, were estimated using BEAST software. Phylogenetic analysis demonstrated that the Iranian, Kuwaiti, German, Israelite and southern Indian isolates are located within the widespread �transcontinental� subgroup A clade of HTLV-1 Cosmopolitan subtype a. Molecular clock analysis of the Iranian cluster dated back their respective tMRCA to be 1290 AC with a 95 HPD confidence intervals (918, 1517). BSPs indicated a rapid exponential growth rate in the effective number of infections prior the 15th century. Our results support the hypothesis of a multiple introductions of HTLV-1 into Iran with the majority of introductions occurring in prior the 15th century, at the same time the Mongol invasion of Iran. Our results further suggest that HTLV-1 introduction into Iran was facilitated by the commercial/migratory linkage as known as the ancient Silk Road which linked China to Antioch (now in Turkey). © 202

Molecular evolution and phylodynamics of hepatitis B virus infection circulating in Iran

Previous local and national Iranian publications indicate that all Iranian hepatitis B virus (HBV) strains belong to HBV genotype D. The aim of this study was to analyze the evolutionary history of HBV infection in Iran for the first time, based on an intensive phylodynamic study. The evolutionary parameters, time to most recent common ancestor (tMRCA), and the population dynamics of infections were investigated using the Bayesian Monte Carlo Markov chain (BMCMC). The effective sample size (ESS) and sampling convergence were then monitored. After sampling from the posterior distribution of the nucleotide substitution rate and other evolutionary parameters, the point estimations (median) of these parameters were obtained. All Iranian HBV isolates were of genotype D, sub-type ayw2. The origin of HBV is regarded as having evolved first on the eastern border, before moving westward, where Isfahan province then hosted the virus. Afterwards, the virus moved to the south and west of the country. The tMRCA of HBV in Iran was estimated to be around 1894, with a 95 credible interval between the years 1701 and 1957. The effective number of infections increased exponentially from around 1925 to 1960. Conversely, from around 1992 onwards, the effective number of HBV infections has decreased at a very high rate. Phylodynamic inference clearly demonstrates a unique homogenous pattern of HBV genotype D compatible with a steady configuration of the decreased effective number of infections in the population in recent years, possibly due to the implementation of blood donation screening and vaccination programs. Adequate molecular epidemiology databases for HBV are crucial for infection prevention and treatment programs. © 2018, Springer-Verlag GmbH Austria, part of Springer Nature

Molecular evolution and phylodynamics of hepatitis B virus infection circulating in Iran

Previous local and national Iranian publications indicate that all Iranian hepatitis B virus (HBV) strains belong to HBV genotype D. The aim of this study was to analyze the evolutionary history of HBV infection in Iran for the first time, based on an intensive phylodynamic study. The evolutionary parameters, time to most recent common ancestor (tMRCA), and the population dynamics of infections were investigated using the Bayesian Monte Carlo Markov chain (BMCMC). The effective sample size (ESS) and sampling convergence were then monitored. After sampling from the posterior distribution of the nucleotide substitution rate and other evolutionary parameters, the point estimations (median) of these parameters were obtained. All Iranian HBV isolates were of genotype D, sub-type ayw2. The origin of HBV is regarded as having evolved first on the eastern border, before moving westward, where Isfahan province then hosted the virus. Afterwards, the virus moved to the south and west of the country. The tMRCA of HBV in Iran was estimated to be around 1894, with a 95 credible interval between the years 1701 and 1957. The effective number of infections increased exponentially from around 1925 to 1960. Conversely, from around 1992 onwards, the effective number of HBV infections has decreased at a very high rate. Phylodynamic inference clearly demonstrates a unique homogenous pattern of HBV genotype D compatible with a steady configuration of the decreased effective number of infections in the population in recent years, possibly due to the implementation of blood donation screening and vaccination programs. Adequate molecular epidemiology databases for HBV are crucial for infection prevention and treatment programs. © 2018, Springer-Verlag GmbH Austria, part of Springer Nature

National, sub-national, and risk-attributed burden of thyroid cancer in Iran from 1990 to 2019

An updated exploration of the burden of thyroid cancer across a country is always required for making correct decisions. The objective of this study is to present the thyroid cancer burden and attributed burden to the high Body Mass Index (BMI) in Iran at national and sub-national levels from 1990 to 2019. The data was obtained from the GBD 2019 study estimates. To explain the pattern of changes in incidence from 1990 to 2019, decomposition analysis was conducted. Besides, the attribution of high BMI in the thyroid cancer DALYs and deaths were obtained. The age-standardized incidence rate of thyroid cancer was 1.57 (95 UI: 1.33�1.86) in 1990 and increased 131 (53�191) until 2019. The age-standardized prevalence rate of thyroid cancer was 30.19 (18.75�34.55) in 2019 which increased 164 (77�246) from 11.44 (9.38�13.85) in 1990. In 2019, the death rate, and Disability-adjusted life years of thyroid cancer was 0.49 (0.36�0.53), and 13.16 (8.93�14.62), respectively. These numbers also increased since 1990. The DALYs and deaths attributable to high BMI was 1.91 (0.95�3.11) and 0.07 (0.04�0.11), respectively. The thyroid cancer burden and high BMI attributed burden has increased from 1990 to 2019 in Iran. This study and similar studies� results can be used for accurate resource allocation for efficient management and all potential risks� modification for thyroid cancer with a cost-conscious view. © 2022, The Author(s)

The global burden of adolescent and young adult cancer in 2019: a systematic analysis for the Global Burden of Disease Study 2019

Background In estimating the global burden of cancer, adolescents and young adults with cancer are often overlooked, despite being a distinct subgroup with unique epidemiology, clinical care needs, and societal impact. Comprehensive estimates of the global cancer burden in adolescents and young adults (aged 15–39 years) are lacking. To address this gap, we analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, with a focus on the outcome of disability-adjusted life-years (DALYs), to inform global cancer control measures in adolescents and young adults. Methods Using the GBD 2019 methodology, international mortality data were collected from vital registration systems, verbal autopsies, and population-based cancer registry inputs modelled with mortality-to-incidence ratios (MIRs). Incidence was computed with mortality estimates and corresponding MIRs. Prevalence estimates were calculated using modelled survival and multiplied by disability weights to obtain years lived with disability (YLDs). Years of life lost (YLLs) were calculated as age-specific cancer deaths multiplied by the standard life expectancy at the age of death. The main outcome was DALYs (the sum of YLLs and YLDs). Estimates were presented globally and by Socio-demographic Index (SDI) quintiles (countries ranked and divided into five equal SDI groups), and all estimates were presented with corresponding 95% uncertainty intervals (UIs). For this analysis, we used the age range of 15–39 years to define adolescents and young adults. Findings There were 1·19 million (95% UI 1·11–1·28) incident cancer cases and 396 000 (370 000–425 000) deaths due to cancer among people aged 15–39 years worldwide in 2019. The highest age-standardised incidence rates occurred in high SDI (59·6 [54·5–65·7] per 100 000 person-years) and high-middle SDI countries (53·2 [48·8–57·9] per 100 000 person-years), while the highest age-standardised mortality rates were in low-middle SDI (14·2 [12·9–15·6] per 100 000 person-years) and middle SDI (13·6 [12·6–14·8] per 100 000 person-years) countries. In 2019, adolescent and young adult cancers contributed 23·5 million (21·9–25·2) DALYs to the global burden of disease, of which 2·7% (1·9–3·6) came from YLDs and 97·3% (96·4–98·1) from YLLs. Cancer was the fourth leading cause of death and tenth leading cause of DALYs in adolescents and young adults globally. Interpretation Adolescent and young adult cancers contributed substantially to the overall adolescent and young adult disease burden globally in 2019. These results provide new insights into the distribution and magnitude of the adolescent and young adult cancer burden around the world. With notable differences observed across SDI settings, these estimates can inform global and country-level cancer control efforts