ABSTRACT
BACKGROUND: Aspirin and statins have been suggested to have potential chemopreventive effects against gastric cancer (GC), although the results of previous studies have been inconsistent. This study therefore aimed to investigate the association between the use of aspirin and statins and GC. METHODS: A pooled analysis of seven case-control studies within the Stomach Cancer Pooling Project, including 3220 cases and 9752 controls, was conducted. Two-stage modeling analyses were used to estimate the association between aspirin and statin use and GC after adjusting for potential confounders. RESULTS: The pooled odds ratio (OR) of GC for aspirin users versus nonusers was 0.72 (95% confidence interval [CI], 0.54-0.95). The protective effect of aspirin appeared stronger in individuals without a GC family history (OR, 0.60; 95% CI, 0.37-0.95), albeit with borderline heterogeneity between those with and without a family history (p = .064). The OR of GC decreased with increasing duration of aspirin use, with an OR of 0.41 (95% CI, 0.18-0.95) for durations of ≥15 years. An inverse, nonsignificant association with the risk of GC was observed for the use of statins alone (OR, 0.79; 95% CI, 0.52-1.18). CONCLUSIONS: These findings suggest that aspirin use, particularly long-term use, is associated with a reduced risk of GC, whereas a similar association was not observed with statins, possibly because of the low frequency of use.
ABSTRACT
BACKGROUND: Previous studies suggest that dietary vitamin C is inversely associated with gastric cancer (GC), but most of them did not consider intake of fruit and vegetables. Thus, we aimed to evaluate this association within the Stomach cancer Pooling (StoP) Project, a consortium of epidemiological studies on GC. METHODS: Fourteen case-control studies were included in the analysis (5362 cases, 11,497 controls). We estimated odds ratios (ORs) and corresponding 95% confidence intervals (CIs) for the association between dietary intake of vitamin C and GC, adjusted for relevant confounders and for intake of fruit and vegetables. The dose-response relationship was evaluated using mixed-effects logistic models with second-order fractional polynomials. RESULTS: Individuals in the highest quartile of dietary vitamin C intake had reduced odds of GC compared with those in the lowest quartile (OR: 0.64; 95% CI: 0.58, 0.72). Additional adjustment for fruit and vegetables intake led to an OR of 0.85 (95% CI: 0.73, 0.98). A significant inverse association was observed for noncardia GC, as well as for both intestinal and diffuse types of the disease. The results of the dose-response analysis showed decreasing ORs of GC up to 150-200 mg/day of vitamin C (OR: 0.54; 95% CI: 0.41, 0.71), whereas ORs for higher intakes were close to 1.0. CONCLUSIONS: The findings of our pooled study suggest that vitamin C is inversely associated with GC, with a potentially beneficial effect also for intakes above the currently recommended daily intake (90 mg for men and 75 mg for women).
Subject(s)
Ascorbic Acid , Stomach Neoplasms , Male , Humans , Female , Stomach Neoplasms/prevention & control , Diet , Fruit , Vegetables , Case-Control Studies , Eating , Risk FactorsABSTRACT
BACKGROUND: The advent of Personalized Medicine (PM) holds significant promise in revolutionizing healthcare by tailoring treatments to individual patients based on their data. However, its successful implementation requires the seamless integration of innovative technologies and presents formidable challenges in terms of sustainability. To tackle these challenges head-on, the International Consortium for Personalized Medicine (ICPerMed) was established, and the IC2PerMed project, as part of this consortium, seeks to foster collaboration between the European Union (EU) and China in the field of Personalized Medicine. Based on the results collected by the project, the objective of this study is to discern the key priorities for the implementation of Personalised Medicine concerning Information and Communication Technologies (ICT) and Big Data and digital solutions, with a particular emphasis on data management and protection. METHODS: A Delphi survey was conducted to gather expert's consensus on the main priorities for actions on Information and Communication Technologies (ICT) and Big Data and digital solutions in the field of Personalized Medicine. RESULTS: The survey identified seven priorities in the area of Big Data and digital solutions, including data interoperability, standards, security measures, and international partnerships. Additionally, twelve priorities were identified for the innovation-to-market process, emphasizing cost-effectiveness, need assessment, and value definition in resource allocation. CONCLUSIONS: The effective implementation of new technologies in Personalized Medicine research and practice is essential for the advancement of healthcare systems in both the European and Chinese contexts. The identified priorities play a pivotal role in promoting the sustainability of health systems and driving innovation in the implementation of Personalized Medicine. Addressing challenges related to data interoperability, standards, security, international collaboration, cost-effectiveness, and value assessment is of utmost importance in order to propel the progress of Personalized Medicine in healthcare systems.
Subject(s)
Delivery of Health Care , Precision Medicine , Humans , European Union , ChinaABSTRACT
Advancements in genomics have significant implications for public health, making citizens' education vital for informed decision-making. Based on two literature reviews' findings and a survey conducted with experts from the Italian Network of Genomics in Public Health, we conducted a pilot survey on Italian citizens' attitudes, knowledge and educational needs toward genetic testing and omics sciences. Our results demonstrate a widespread interest in genetic testing and uncertainties regarding associated risks, with 99% of participants acknowledging insufficient knowledge of genetic testing. There is an urgent need for educational tools to improve citizens' literacy and engagement in this rapidly evolving field.
Subject(s)
Genetic Testing , Public Opinion , Humans , Italy , Educational Status , Surveys and QuestionnairesABSTRACT
Influenza is an important public health issue given its significant burden of disease. In Italy, the unsatisfactory coverage rate in people ≥65 years underlines the need to improve the current vaccination pathway. This study aims to define an integrated pathway across primary and secondary care, facilitated by a digital clinical decision support system (CDSS), to enhance vaccination coverage in people ≥65 years by actively recruiting patients in hospitals and administering vaccination. Moreover, the study seeks to gauge the potential epidemiological and economic impact of this approach. The methodology consisted of two main phases: definition of the integrated pathway and CDSS and estimation of the potential epidemiological and economic impact resulting from the implementation of the pathway in the whole Lazio region. Assuming an increase of influenza vaccination coverage from the current rate of 60% to 65% in ≥65 years old population in the Lazio region thanks to the pathway implementation, an increase of 8% in avoided influenza cases, avoided influenza- or pneumonia-related hospitalizations and avoided influenza-related outpatient visits was estimated with a relative increase in savings for hospitalizations and outpatient visits of up to 11.85%. Setting the vaccination coverage at 70%, the impact is doubled. Alongside offering a predictive estimate of the pathway's potential impact, both epidemiological and economic, this project, with its robust methodology, may serve as a scalable and transferable model for enhancing vaccination coverage at national and international level.
ABSTRACT
Head and neck squamous cell carcinoma (HNSCC), which includes cancers of the oral cavity and oropharynx, is a cause of substantial global morbidity and mortality. Strategies to reduce disease burden include discovery of novel therapies and repurposing of existing drugs. Statins are commonly prescribed for lowering circulating cholesterol by inhibiting HMG-CoA reductase (HMGCR). Results from some observational studies suggest that statin use may reduce HNSCC risk. We appraised the relationship of genetically-proxied cholesterol-lowering drug targets and other circulating lipid traits with oral (OC) and oropharyngeal (OPC) cancer risk using two-sample Mendelian randomization (MR). For the primary analysis, germline genetic variants in HMGCR, NPC1L1, CETP, PCSK9 and LDLR were used to proxy the effect of low-density lipoprotein cholesterol (LDL-C) lowering therapies. In secondary analyses, variants were used to proxy circulating levels of other lipid traits in a genome-wide association study (GWAS) meta-analysis of 188,578 individuals. Both primary and secondary analyses aimed to estimate the downstream causal effect of cholesterol lowering therapies on OC and OPC risk. The second sample for MR was taken from a GWAS of 6,034 OC and OPC cases and 6,585 controls (GAME-ON). Analyses were replicated in UK Biobank, using 839 OC and OPC cases and 372,016 controls and the results of the GAME-ON and UK Biobank analyses combined in a fixed-effects meta-analysis. We found limited evidence of a causal effect of genetically-proxied LDL-C lowering using HMGCR, NPC1L1, CETP or other circulating lipid traits on either OC or OPC risk. Genetically-proxied PCSK9 inhibition equivalent to a 1 mmol/L (38.7 mg/dL) reduction in LDL-C was associated with an increased risk of OC and OPC combined (OR 1.8 95%CI 1.2, 2.8, p = 9.31 x10-05), with good concordance between GAME-ON and UK Biobank (I2 = 22%). Effects for PCSK9 appeared stronger in relation to OPC (OR 2.6 95%CI 1.4, 4.9) than OC (OR 1.4 95%CI 0.8, 2.4). LDLR variants, resulting in genetically-proxied reduction in LDL-C equivalent to a 1 mmol/L (38.7 mg/dL), reduced the risk of OC and OPC combined (OR 0.7, 95%CI 0.5, 1.0, p = 0.006). A series of pleiotropy-robust and outlier detection methods showed that pleiotropy did not bias our findings. We found limited evidence for a role of cholesterol-lowering in OC and OPC risk, suggesting previous observational results may have been confounded. There was some evidence that genetically-proxied inhibition of PCSK9 increased risk, while lipid-lowering variants in LDLR, reduced risk of combined OC and OPC. This result suggests that the mechanisms of action of PCSK9 on OC and OPC risk may be independent of its cholesterol lowering effects; however, this was not supported uniformly across all sensitivity analyses and further replication of this finding is required.
Subject(s)
Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use , Proprotein Convertase 9/genetics , Receptors, LDL/genetics , Squamous Cell Carcinoma of Head and Neck/drug therapy , Cholesterol/biosynthesis , Cholesterol/genetics , Cholesterol Ester Transfer Proteins/genetics , Cholesterol, LDL/antagonists & inhibitors , Cholesterol, LDL/genetics , Genetic Predisposition to Disease , Genome-Wide Association Study , Germ-Line Mutation/genetics , Humans , Hydroxymethylglutaryl CoA Reductases/drug effects , Hydroxymethylglutaryl CoA Reductases/genetics , Hydroxymethylglutaryl-CoA Reductase Inhibitors/adverse effects , Membrane Transport Proteins/genetics , Mendelian Randomization Analysis , Squamous Cell Carcinoma of Head and Neck/genetics , Squamous Cell Carcinoma of Head and Neck/pathologyABSTRACT
Squamous cell carcinomas (SqCC) of the aerodigestive tract have similar etiological risk factors. Although genetic risk variants for individual cancers have been identified, an agnostic, genome-wide search for shared genetic susceptibility has not been performed. To identify novel and pleotropic SqCC risk variants, we performed a meta-analysis of GWAS data on lung SqCC (LuSqCC), oro/pharyngeal SqCC (OSqCC), laryngeal SqCC (LaSqCC) and esophageal SqCC (ESqCC) cancers, totaling 13,887 cases and 61,961 controls of European ancestry. We identified one novel genome-wide significant (Pmeta<5x10-8) aerodigestive SqCC susceptibility loci in the 2q33.1 region (rs56321285, TMEM273). Additionally, three previously unknown loci reached suggestive significance (Pmeta<5x10-7): 1q32.1 (rs12133735, near MDM4), 5q31.2 (rs13181561, TMEM173) and 19p13.11 (rs61494113, ABHD8). Multiple previously identified loci for aerodigestive SqCC also showed evidence of pleiotropy in at least another SqCC site, these include: 4q23 (ADH1B), 6p21.33 (STK19), 6p21.32 (HLA-DQB1), 9p21.33 (CDKN2B-AS1) and 13q13.1(BRCA2). Gene-based association and gene set enrichment identified a set of 48 SqCC-related genes rel to DNA damage and epigenetic regulation pathways. Our study highlights the importance of cross-cancer analyses to identify pleiotropic risk loci of histology-related cancers arising at distinct anatomical sites.
Subject(s)
Carcinoma, Squamous Cell/genetics , Digestive System Neoplasms/genetics , Genetic Loci , Genetic Predisposition to Disease , Genome-Wide Association Study , Alleles , Biomarkers, Tumor , Carcinoma, Squamous Cell/metabolism , Carcinoma, Squamous Cell/pathology , Digestive System Neoplasms/metabolism , Digestive System Neoplasms/pathology , Genotype , Humans , Odds Ratio , Signal TransductionABSTRACT
BACKGROUND: The current management of lung cancer patients has reached a high level of complexity. Indeed, besides the traditional clinical variables (e.g., age, sex, TNM stage), new omics data have recently been introduced in clinical practice, thereby making more complex the decision-making process. With the advent of Artificial intelligence (AI) techniques, various omics datasets may be used to create more accurate predictive models paving the way for a better care in lung cancer patients. METHODS: The LANTERN study is a multi-center observational clinical trial involving a multidisciplinary consortium of five institutions from different European countries. The aim of this trial is to develop accurate several predictive models for lung cancer patients, through the creation of Digital Human Avatars (DHA), defined as digital representations of patients using various omics-based variables and integrating well-established clinical factors with genomic data, quantitative imaging data etc. A total of 600 lung cancer patients will be prospectively enrolled by the recruiting centers and multi-omics data will be collected. Data will then be modelled and parameterized in an experimental context of cutting-edge big data analysis. All data variables will be recorded according to a shared common ontology based on variable-specific domains in order to enhance their direct actionability. An exploratory analysis will then initiate the biomarker identification process. The second phase of the project will focus on creating multiple multivariate models trained though advanced machine learning (ML) and AI techniques for the specific areas of interest. Finally, the developed models will be validated in order to test their robustness, transferability and generalizability, leading to the development of the DHA. All the potential clinical and scientific stakeholders will be involved in the DHA development process. The main goals aim of LANTERN project are: i) To develop predictive models for lung cancer diagnosis and histological characterization; (ii) to set up personalized predictive models for individual-specific treatments; iii) to enable feedback data loops for preventive healthcare strategies and quality of life management. DISCUSSION: The LANTERN project will develop a predictive platform based on integration of multi-omics data. This will enhance the generation of important and valuable information assets, in order to identify new biomarkers that can be used for early detection, improved tumor diagnosis and personalization of treatment protocols. ETHICS COMMITTEE APPROVAL NUMBER: 5420 - 0002485/23 from Fondazione Policlinico Universitario Agostino Gemelli IRCCS - Università Cattolica del Sacro Cuore Ethics Committee. TRIAL REGISTRATION: clinicaltrial.gov - NCT05802771.
Subject(s)
Lung Neoplasms , Precision Medicine , Humans , Artificial Intelligence , Multiomics , Quality of Life , Lung Neoplasms/diagnosis , Lung Neoplasms/genetics , Lung Neoplasms/therapyABSTRACT
OBJECTIVE: We analyzed the pooled case-control data from the International Head and Neck Cancer Epidemiology (INHANCE) consortium to compare cigarette smoking and alcohol consumption risk factors for head and neck cancer between less developed and more developed countries. SUBJECTS AND METHODS: The location of each study was categorized as either a less developed or more developed country. We compared the risk of overall head and neck cancer and cancer of specific anatomic subsites associated with cigarette smoking and alcohol consumption. Additionally, age and sex distribution between categories was compared. RESULTS: The odds ratios for head and neck cancer sites associated with smoking duration differed between less developed and more developed countries. Smoking greater than 20 years conferred a higher risk for oral cavity and laryngeal cancer in more developed countries, whereas the risk was greater for oropharynx and hypopharynx cancer in less developed countries. Alcohol consumed for more than 20 years conferred a higher risk for oropharynx, hypopharynx, and larynx cancer in less developed countries. The proportion of cases that were young (<45 years) or female differed by country type for some HNC subsites. CONCLUSION: These findings suggest the degree of industrialization and economic development affects the relationship between smoking and alcohol with head and neck cancer.
Subject(s)
Head and Neck Neoplasms , Laryngeal Neoplasms , Humans , Female , Developing Countries , Case-Control Studies , Risk Factors , Head and Neck Neoplasms/epidemiology , Alcohol Drinking/epidemiology , Alcohol Drinking/adverse effects , Laryngeal Neoplasms/epidemiology , EthanolABSTRACT
BACKGROUND: The increasing availability of Direct-to-Consumer Genetic Tests (DTC-GTs) has great implications for public health (PH) and requires literate healthcare professionals to address the challenges they pose. We designed and conducted a survey to assess the state of knowledge, attitudes and behaviours of PH professionals members of the European Public Health Association (EUPHA) towards DTC-GTs. METHODS: EUPHA members were invited to participate and fill in the survey. We performed multivariable logistic regression to evaluate associations between selected covariates and knowledge, attitudes and behaviours of healthcare professionals towards DTC-GT. RESULTS: Three hundred and two professionals completed the survey, 66.9% of whom were not involved in genetics or genomics within their professional activities. Although 74.5% of respondents were aware that DTC-GTs could be purchased on the web, most of them reported a low level of awareness towards DTC-GTs applications and regulatory aspects. The majority did not approve the provision of DTC-GTs without consultation of a healthcare professional (91.4%), were doubtful about the test utility and validity (61%) and did not feel prepared to address citizens' questions (65.6%). Predictors of knowledge on DTC-GT were the involvement in genetics/genomics and receiving training during the studies (P < 0.0001 and P = 0.043). Predictors of attitudes were medical degree and knowledge about DTC-GTs (P = 0.006 and P = 0.027). CONCLUSIONS: Our results revealed a high level of awareness of DTC-GT web purchasing and a moderate to low level of awareness towards their applications. Despite the overall positive attitudes, PH professionals reported a high need for strengthening regulatory aspects of DTC-GTs provision process.
Subject(s)
Genetic Testing , Public Health , Humans , Genetic Testing/methods , Health Personnel , Referral and Consultation , Surveys and QuestionnairesABSTRACT
INTRODUCTION: Personalized Medicine (PM) is one of the main priorities of the research agenda of the European Commission and the focus of the European Coordination and Support Action titled "Integrating China into the International Consortium for Personalized Medicine" (IC2PerMed). Similar to the European focus, PM is a current priority of the Chinese Government, through dedicated policies and its five-year investment plans. In the context of IC2PerMed, we implemented a survey to understand the state of the art of the implementation of PM related policies in EU and China, and to identify opportunities for future Sino-European collaborations. METHODS: The survey was elaborated by the IC2PerMed consortium and validated by a focus group of experts. The final version, in English and Chinese, was administered online to a pool of accurately selected experts. Participation was anonymous and voluntary. The survey consists of 19 questions in 3 sections: (1) personal information; (2) policy in PM; (3) facilitating and hindering factors for Sino-European collaboration in PM. RESULTS: Forty-seven experts completed the survey, 27 from Europe and 20 from China. Only four participants were aware of the implementation of PM-related policies in their working country. Expert reported that PM areas with greatest policy impact so far were: Big Data and digital solutions; citizen and patient literacy; and translational research. The main obstacles found were the lack of shared investment strategies and the limited application of scientific developments in clinical practice. Aligning European and Chinese efforts, finding common ground across cultural, social, and language barriers, were considered as actions needed to enhance efforts in applying PM strategies internationally. CONCLUSION: To achieve efficiency and sustainability of health systems, it remains crucial to transform PM into an opportunity for all citizens and patients with the commitment of all the stakeholders involved. The results obtained aim to help define common research and development approaches, standards and priorities and increase collaboration at international level, as well as provide key solutions to enable convergence towards a common PM research, innovation, development and implementation approach between Europe and China.
Subject(s)
Precision Medicine , Humans , China , European UnionABSTRACT
BACKGROUND: Personalised medicine (PM) has been fostered by technological and medical advances, but all stakeholders, including healthcare professionals, citizens and policy makers, should achieve adequate health literacy to promote PM implementation. The "Integrating China in the International Consortium for Personalised Medicine" (IC2PerMed) project, funded by the International Consortium for Personalised Medicine, focuses on this issue by highlighting the need to educate healthcare professionals and empower citizens. Within the aforementioned project, building on a mapping of European and Chinese policies in PM, experts in the field of PM participated in an online workshop and a following two-round Delphi survey, in order to identify the priority areas of intervention for healthcare professionals' education and curricula, engagement and empowerment of citizens and patients. RESULTS: Nine experts completed the survey and reached a consensus on seventeen priorities: seven were related to health professionals' education and curricula, whereas ten on citizen and patients' awareness and empowerment. CONCLUSION: These priorities emphasized the importance of education and health literacy, multidisciplinary and international collaboration, public trust, and consideration of ethical, legal, and social issues. The present experience highlights the relevance of the involvement of stakeholders in informing decision-makers, developing appropriate national plans, strategies, and policies, and ensuring the adequate implementation of PM in health systems.
Subject(s)
Curriculum , Precision Medicine , Humans , Educational Status , China , Delivery of Health CareABSTRACT
BACKGROUND: Evidence from epidemiological studies on the role of tea drinking in gastric cancer risk remains inconsistent. We aimed to investigate and quantify the relationship between tea consumption and gastric cancer in the Stomach cancer Pooling (StoP) Project consortium. METHODS: A total of 9438 cases and 20,451 controls from 22 studies worldwide were included. Odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) of gastric cancer for regular versus non-regular tea drinkers were estimated by one and two-stage modelling analyses, including terms for sex, age and the main recognised risk factors for gastric cancer. RESULTS: Compared to non-regular drinkers, the estimated adjusted pooled OR for regular tea drinkers was 0.91 (95% CI: 0.85-0.97). When the amount of tea consumed was considered, the OR for consumption of 1-2 cups/day was 1.01 (95% CI: 0.94-1.09) and for >3 cups/day was 0.91 (95% CI: 0.80-1.03). Stronger inverse associations emerged among regular drinkers in China and Japan (OR: 0.67, 95% CI: 0.49-0.91) where green tea is consumed, in subjects with H. pylori infection (OR: 0.68, 95% CI: 0.58-0.80), and for gastric cardia cancer (OR: 0.64, 95% CI: 0.49-0.84). CONCLUSION: Our results indicate a weak inverse association between tea consumption and gastric cancer.
Subject(s)
Helicobacter Infections , Stomach Neoplasms , Case-Control Studies , Helicobacter Infections/complications , Helicobacter Infections/epidemiology , Humans , Odds Ratio , Risk Factors , Stomach Neoplasms/epidemiology , Stomach Neoplasms/etiology , TeaABSTRACT
BACKGROUND: Human papilloma virus infection is known to influence oropharyngeal cancer (OPC) risk, likely via sexual transmission. However, sexual behaviour has been correlated with other risk factors including smoking and alcohol, meaning independent effects are difficult to establish. We aimed to evaluate the causal effect of sexual behaviour on the risk of OPC using Mendelian randomization (MR). METHODS: Genetic variants robustly associated with age at first sex (AFS) and the number of sexual partners (NSP) were used to perform both univariable and multivariable MR analyses with summary data on 2641 OPC cases and 6585 controls, obtained from the largest available genome-wide association studies (GWAS). Given the potential for genetic pleiotropy, we performed a number of sensitivity analyses: (i) MR methods to account for horizontal pleiotropy, (ii) MR of sexual behaviours on positive (cervical cancer and seropositivity for Chlamydia trachomatis) and negative control outcomes (lung and oral cancer), (iii) Causal Analysis Using Summary Effect estimates (CAUSE), to account for correlated and uncorrelated horizontal pleiotropic effects, (iv) multivariable MR analysis to account for the effects of smoking, alcohol, risk tolerance and educational attainment. RESULTS: In univariable MR, we found evidence supportive of an effect of both later AFS (IVW OR = 0.4, 95%CI (0.3, 0.7), per standard deviation (SD), p = < 0.001) and increasing NSP (IVW OR = 2.2, 95%CI (1.3, 3.8) per SD, p = < 0.001) on OPC risk. These effects were largely robust to sensitivity analyses accounting for horizontal pleiotropy. However, negative control analysis suggested potential violation of the core MR assumptions and subsequent CAUSE analysis implicated pleiotropy of the genetic instruments used to proxy sexual behaviours. Finally, there was some attenuation of the univariable MR results in the multivariable models (AFS IVW OR = 0.7, 95%CI (0.4, 1.2), p = 0.21; NSP IVW OR = 0.9, 95%CI (0.5 1.7), p = 0.76). CONCLUSIONS: Despite using genetic variants strongly related sexual behaviour traits in large-scale GWAS, we found evidence for correlated pleiotropy. This emphasizes a need for multivariable approaches and the triangulation of evidence when performing MR of complex behavioural traits.
Subject(s)
Mendelian Randomization Analysis , Oropharyngeal Neoplasms , Genome-Wide Association Study , Humans , Mendelian Randomization Analysis/methods , Oropharyngeal Neoplasms/epidemiology , Oropharyngeal Neoplasms/genetics , Polymorphism, Single Nucleotide , Sexual Behavior , Smoking/adverse effects , Smoking/epidemiologyABSTRACT
PURPOSE: Previous studies show that consuming foods preserved by salting increases the risk of gastric cancer, while results on the association between total salt or added salt and gastric cancer are less consistent and vary with the exposure considered. This study aimed to quantify the association between dietary salt exposure and gastric cancer, using an individual participant data meta-analysis of studies participating in the Stomach cancer Pooling (StoP) Project. METHODS: Data from 25 studies (10,283 cases and 24,643 controls) from the StoP Project with information on salt taste preference (tasteless, normal, salty), use of table salt (never, sometimes, always), total sodium intake (tertiles of grams/day), and high-salt and salt-preserved foods intake (tertiles of grams/day) were used. A two-stage approach based on random-effects models was used to pool study-specific adjusted (sex, age, and gastric cancer risk factors) odds ratios (aORs), and the corresponding 95% confidence intervals (95% CI). RESULTS: Gastric cancer risk was higher for salty taste preference (aOR 1.59, 95% CI 1.25-2.03), always using table salt (aOR 1.33, 95% CI 1.16-1.54), and for the highest tertile of high-salt and salt-preserved foods intake (aOR 1.24, 95% CI 1.01-1.51) vs. the lowest tertile. No significant association was observed for the highest vs. the lowest tertile of total sodium intake (aOR 1.08, 95% CI 0.82-1.43). The results obtained were consistent across anatomic sites, strata of Helicobacter pylori infection, and sociodemographic, lifestyle and study characteristics. CONCLUSION: Salty taste preference, always using table salt, and a greater high-salt and salt-preserved foods intake increased the risk of gastric cancer, though the association was less robust with total sodium intake.
Subject(s)
Helicobacter Infections , Helicobacter pylori , Stomach Neoplasms , Case-Control Studies , Helicobacter Infections/complications , Humans , Risk Factors , Sodium Chloride, Dietary/adverse effects , Stomach Neoplasms/epidemiology , Stomach Neoplasms/etiologyABSTRACT
BACKGROUND: Risk prediction models incorporating single nucleotide polymorphisms (SNPs) could lead to individualized prevention of colorectal cancer (CRC). However, the added value of incorporating SNPs into models with only traditional risk factors is still not clear. Hence, our primary aim was to summarize literature on risk prediction models including genetic variants for CRC, while our secondary aim was to evaluate the improvement of discriminatory accuracy when adding SNPs to a prediction model with only traditional risk factors. METHODS: We conducted a systematic review on prediction models incorporating multiple SNPs for CRC risk prediction. We tested whether a significant trend in the increase of Area Under Curve (AUC) according to the number of SNPs could be observed, and estimated the correlation between AUC improvement and number of SNPs. We estimated pooled AUC improvement for SNP-enhanced models compared with non-SNP-enhanced models using random effects meta-analysis, and conducted meta-regression to investigate the association of specific factors with AUC improvement. RESULTS: We included 33 studies, 78.79% using genetic risk scores to combine genetic data. We found no significant trend in AUC improvement according to the number of SNPs (p for trend = 0.774), and no correlation between the number of SNPs and AUC improvement (p = 0.695). Pooled AUC improvement was 0.040 (95% CI: 0.035, 0.045), and the number of cases in the study and the AUC of the starting model were inversely associated with AUC improvement obtained when adding SNPs to a prediction model. In addition, models constructed in Asian individuals achieved better AUC improvement with the incorporation of SNPs compared with those developed among individuals of European ancestry. CONCLUSIONS: Though not conclusive, our results provide insights on factors influencing discriminatory accuracy of SNP-enhanced models. Genetic variants might be useful to inform stratified CRC screening in the future, but further research is needed.
Subject(s)
Clinical Decision Rules , Colorectal Neoplasms/genetics , Multifactorial Inheritance/genetics , Adult , Area Under Curve , Asian People/genetics , Case-Control Studies , Colorectal Neoplasms/ethnology , Female , Genetic Predisposition to Disease/ethnology , Genetic Predisposition to Disease/genetics , Genome-Wide Association Study , Humans , Male , Middle Aged , Polymorphism, Single Nucleotide/genetics , Risk Assessment , Risk Factors , White People/geneticsABSTRACT
OBJECTIVES: Most countries initially deployed COVID-19 vaccines preferentially in elderly populations. We aimed to evaluate whether population-level vaccine effectiveness is heralded by an increase in the relative proportion of deaths among non-elderly populations that were less covered by vaccination programs. ELIGIBLE DATA: We collected data from 40 countries on age-stratified COVID-19 deaths during the vaccination period (1/14/2021-5/31/2021) and two control periods (entire pre-vaccination period and excluding the first wave). MAIN OUTCOME MEASURES: We meta-analyzed the proportion of deaths in different age groups in vaccination versus control periods in (1) countries with low vaccination rates; (2) countries with age-independent vaccination policies; and (3) countries with standard age-dependent vaccination policies. RESULTS: Countries that prioritized vaccination among older people saw an increasing share of deaths among 0-69 year old people in the vaccination versus the two control periods (summary proportion ratio 1.32 [95 CI% 1.24-1.41] and 1.35 [95 CI% 1.26-1.44)]. No such change was seen on average in countries with age-independent vaccination policies (1.05 [95 CI% 0.78-1.41 and 0.97 [95 CI% 0.95-1.00], respectively) and limited vaccination (0.93 [95 CI% 0.85-1.01] and 0.95 [95 CI% 0.87-1.03], respectively). Proportion ratios were associated with the difference of vaccination rates in elderly versus non-elderly people. No significant changes occurred in the share of deaths in age 0-49 among all 0-69 deaths in the vaccination versus pre-vaccination periods. CONCLUSIONS: The substantial shift in the age distribution of COVID-19 deaths in countries that rapidly implemented vaccination predominantly among elderly provides evidence for the population level-effectiveness of COVID-19 vaccination and a favorable evolution of the pandemic towards endemicity with fewer elderly deaths.
Subject(s)
COVID-19 Vaccines , COVID-19 , Adolescent , Adult , Age Distribution , Aged , Child , Child, Preschool , Humans , Infant , Infant, Newborn , Middle Aged , SARS-CoV-2 , Vaccination , Vaccine Efficacy , Young AdultABSTRACT
BACKGROUND: European countries are still searching to eliminate or contain the Covid-19 pandemic. A variety of approaches have achieved different levels of success in limiting the spread of the disease early and preventing avoidable deaths. Governmental policy responses may explain these differences and this study aims to describe evidence about the effectiveness of containment measures throughout the course of the pandemic in five European countries (France, Germany, Italy, Spain and the UK). METHODS: The research approach adopted consisted of three steps: 1) Build a Containment Index (C.I.) that considers nine parameters to make an assessment on the strength of measures; 2) Develop dynamic epidemiological models for forecasting purposes; 3) Predict case numbers by assuming containment measures remain constant for a period of 30 days. RESULTS: Our analysis revealed that in the five European countries we compared, the use of different approaches definitively affected the effectiveness of containment measures for the Covid-19 pandemic. CONCLUSION: The evidence found in our research can be useful to inform policy makers' decisions when deciding to introduce or relax containment measures and their timing, both during the current pandemic or in addressing possible future health crises.
Subject(s)
COVID-19 , COVID-19/epidemiology , COVID-19/prevention & control , Europe/epidemiology , France/epidemiology , Germany , Humans , Pandemics/prevention & controlABSTRACT
The continuous development and use of genomic sequencing requires healthcare professionals to constantly integrate these advancements into their clinical practice. There is a documented lack of cancer genomics contents in the teaching and learning programs. We aimed to identify the core competencies in cancer genomics for non-genetic healthcare professionals. We performed a literature review in PubMed, SCOPUS, and Web of Science databases to retrieve articles published from 2000 to 2018, in English or Italian language. We included articles that reported the competencies for non-genetic healthcare professionals in cancer genomics. A web-based modified Delphi survey was conducted, aiming to define, through consensus, a set of core competencies that should be covered in the curricula. The international expert panel included specialists in genetics, genomics, oncology, and medical specialists. In the literature review, we retrieved nine articles, from which we identified core competencies for general physicians and nurses. The competencies were organized in three main domains: knowledge, attitudes, and practical abilities. In the second round of Delphi survey, consensus of 83.3% was reached for the definition of the core competencies. Thirty-seven items were defined as the competencies required for physicians and forty-two items for nurses. Through a consensus-based approach, a set of core competencies in cancer genomics for non-genetic healthcare professionals has been identified. Our findings could benchmark standards for curriculum development and future educational strategies.
Subject(s)
Health Personnel , Neoplasms , Clinical Competence , Curriculum , Delivery of Health Care , Delphi Technique , Genomics , Humans , Neoplasms/geneticsABSTRACT
BACKGROUND: Head and Neck Cancer (HNC) survivors are at increased risk of developing a second primary cancer (SPC). Along with the environmental risk factors, genetic factors have been associated with a potential increased susceptibility to SPC development. We aim to identify the Single Nucleotide Polymorphisms (SNPs) that contribute to SPC development among HNC survivors through a systematic review and meta-analysis. METHODS: We searched PubMed, Scopus and ISI Web of Science for eligible studies published in English until January 31st, 2020. We included studies reporting primary data that evaluated the association between SNPs and SPC risk in HNC patients. Data were pooled in a random-effect meta-analyses, when at least two studies on the same SNP evaluated the same genotype model. Heterogeneity was assessed using the χ2-based Q-statistics and the I2 statistics. Quality of the included studies was assessed using the Q-Genie tool. RESULTS: Twenty-one studies, of moderate to good quality, were included in the systematic review. Fifty-one genes were reported across the included studies to have significant associations with an increased SPC risk. Overall, 81 out of 122 investigated SNPs were significantly associated with the SPC risk. Seven studies were included in the meta-analysis, which showed five SNPs associated with an increased risk of SPC: p21C70T, CT + TT (HR = 1.76; 95% CI: 1.28-2.43); FASLG -844C > T, CT + TT (HR = 1.82; 95% CI: 1.35-2.46), P21 C98A, CA + AA (HR = 1.75; 95% CI: 1.28-2.38); FAS -670A > G (HR = 1.84; 95% CI: 1.28-2.66) and GST-M1, Null genotype (HR = 1.54; 95% CI: 1.13-2.10). CONCLUSIONS: The identified SNPs in our systematic review and meta-analysis might serve as potential markers for identification of patients at high risk of developing SPC after primary HNC. PROSPERO REGISTRATION NUMBER: CRD42019135612 .