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Sökning: WFRF:(Ye WM) > (2020-2024)

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51.
  • Man, JY, et al. (författare)
  • Healthy Lifestyle Factors, Cancer Family History, and Gastric Cancer Risk: A Population-Based Case-Control Study in China
  • 2021
  • Ingår i: Frontiers in nutrition. - : Frontiers Media SA. - 2296-861X. ; 8, s. 774530-
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: We aimed to explore the relationship between lifestyle factors, cancer family history, and gastric cancer risk.Methods: We examined the association between lifestyle factors, cancer family history, and gastric cancer risk based on a population-based case-control study in Taixing, China, with 870 cases and 1928 controls. A lifestyle score was constructed considering body shape, smoking, alcohol drinking, tooth brushing habit, and food storage method. Unconditional logistic regression models were used to calculate odd ratios (ORs) and 95% confidence intervals (CIs).Results: Compared with participants with a lifestyle score of 0, subjects with a lifestyle score of 1 (OR 0.59, 95%CI 0.43–0.83), 2 (OR 0.42, 95%CI 0.30–0.59), 3 (OR 0.29, 95%CI 0.20–0.41), 4 (OR 0.20, 95%CI 0.13–0.32), or 5 (OR 0.10, 95%CI 0.04–0.22) had a lower risk of gastric cancer (P for trend < 0.001). Overall, 34% of gastric cancer cases (95%CI 27–41%) can be attributed to non-compliance with ≥3 healthy lifestyle. Family history of early-onset cancer is closely related to the occurrence of gastric cancer, with an OR ranging from 1.77 to 3.27. Regardless of family history, a good lifestyle is associated with a reduced risk of gastric cancer, with an OR value between 0.38 and 0.70.Conclusions: The early-onset cancer family history is closely related to the occurrence of gastric cancer and a good lifestyle is associated with a reduced risk of gastric cancer regardless of family history. Our results provide a basis for identifying and providing behavior guidance of high-risk groups of gastric cancer.
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52.
  • Molina-Montes, E, et al. (författare)
  • Deciphering the complex interplay between pancreatic cancer, diabetes mellitus subtypes and obesity/BMI through causal inference and mediation analyses
  • 2021
  • Ingår i: Gut. - : BMJ. - 1468-3288 .- 0017-5749. ; 70:2, s. 319-329
  • Tidskriftsartikel (refereegranskat)abstract
    • To characterise the association between type 2 diabetes mellitus (T2DM) subtypes (new-onset T2DM (NODM) or long-standing T2DM (LSDM)) and pancreatic cancer (PC) risk, to explore the direction of causation through Mendelian randomisation (MR) analysis and to assess the mediation role of body mass index (BMI).DesignInformation about T2DM and related factors was collected from 2018 PC cases and 1540 controls from the PanGenEU (European Study into Digestive Illnesses and Genetics) study. A subset of PC cases and controls had glycated haemoglobin, C-peptide and genotype data. Multivariate logistic regression models were applied to derive ORs and 95% CIs. T2DM and PC-related single nucleotide polymorphism (SNP) were used as instrumental variables (IVs) in bidirectional MR analysis to test for two-way causal associations between PC, NODM and LSDM. Indirect and direct effects of the BMI-T2DM-PC association were further explored using mediation analysis.ResultsT2DM was associated with an increased PC risk when compared with non-T2DM (OR=2.50; 95% CI: 2.05 to 3.05), the risk being greater for NODM (OR=6.39; 95% CI: 4.18 to 9.78) and insulin users (OR=3.69; 95% CI: 2.80 to 4.86). The causal association between T2DM (57-SNP IV) and PC was not statistically significant (ORLSDM=1.08, 95% CI: 0.86 to 1.29, ORNODM=1.06, 95% CI: 0.95 to 1.17). In contrast, there was a causal association between PC (40-SNP IV) and NODM (OR=2.85; 95% CI: 2.04 to 3.98), although genetic pleiotropy was present (MR-Egger: p value=0.03). Potential mediating effects of BMI (125-SNPs as IV), particularly in terms of weight loss, were evidenced on the NODM-PC association (indirect effect for BMI in previous years=0.55).ConclusionFindings of this study do not support a causal effect of LSDM on PC, but suggest that PC causes NODM. The interplay between obesity, PC and T2DM is complex.
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56.
  • Nartey, YA, et al. (författare)
  • Ambulatory end-stage liver disease in Ghana; patient profile and utility of alpha fetoprotein and aspartate aminotransferase: platelet ratio index
  • 2020
  • Ingår i: BMC gastroenterology. - : Springer Science and Business Media LLC. - 1471-230X. ; 20:1, s. 428-
  • Tidskriftsartikel (refereegranskat)abstract
    • BackgroundEnd-stage liver disease (ESLD) is a major burden on public health, particularly in sub-Saharan Africa, where hepatitis B virus (HBV) is an important risk factor. We aimed to describe clinical characteristics of ESLD from cirrhosis or hepatocellular carcinoma (HCC) and the performance of aspartate aminotransferase (AST)—platelet ratio index (APRI) and alpha fetoprotein (AFP) in Ghana.MethodsWe performed an observational cross-sectional study in outpatient hepatology clinics at three teaching hospitals in Ghana, West Africa. One hundred and forty-one HCC, 216 cirrhosis and 218 chronic HBV patients were recruited by convenience sampling. Sociodemographic, history and examination, laboratory, and disease staging information were shown using descriptive statistics. Performance of the APRI score in diagnosis of cirrhosis and AFP in the diagnosis of HCC was determined using AUROC analysis.ResultsMedian age at presentation was 44 years for HCC and 46 years for cirrhosis. HBV was found in 69.5% of HCC and 47.2% of cirrhosis cases, and HCV in 6.4% and 3.7% respectively. APRI cut-off of 2 had sensitivity of 45.4% and specificity of 95% in diagnosis of cirrhosis, and cut-off of 1 had sensitivity of 75.9% and specificity of 89%. AUC of AFP was 0.88 (95% CI 0.81–0.94) in diagnosis of HCC. Low monthly income was associated with lower odds of undertaking AFP. Thirty one percent of cirrhotic persons were Child–Pugh C, and 67.9% of HCC patients had advanced or terminal disease at presentation.ConclusionsOur findings emphasize the young age of ESLD patients in Ghana and the advanced nature at presentation. It highlights shortcomings in surveillance and the need for policies to address the burden and improve outcomes in Ghana.
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  • Polewko-Klim, A, et al. (författare)
  • Identification of Candidate Therapeutic Genes for More Precise Treatment of Esophageal Squamous Cell Carcinoma and Adenocarcinoma
  • 2022
  • Ingår i: Frontiers in genetics. - : Frontiers Media SA. - 1664-8021. ; 13, s. 844542-
  • Tidskriftsartikel (refereegranskat)abstract
    • The standard therapy administered to patients with advanced esophageal cancer remains uniform, despite its two main histological subtypes, namely esophageal squamous cell carcinoma (SCC) and esophageal adenocarcinoma (AC), are being increasingly considered to be different. The identification of potential drug target genes between SCC and AC is crucial for more effective treatment of these diseases, given the high toxicity of chemotherapy and resistance to administered medications. Herein we attempted to identify and rank differentially expressed genes (DEGs) in SCC vs. AC using ensemble feature selection methods. RNA-seq data from The Cancer Genome Atlas and the Fudan-Taizhou Institute of Health Sciences (China). Six feature filters algorithms were used to identify DEGs. We built robust predictive models for histological subtypes with the random forest (RF) classification algorithm. Pathway analysis also be performed to investigate the functional role of genes. 294 informative DEGs (87 of them are newly discovered) have been identified. The areas under receiver operator curve (AUC) were higher than 99.5% for all feature selection (FS) methods. Nine genes (i.e., ERBB3, ATP7B, ABCC3, GALNT14, CLDN18, GUCY2C, FGFR4, KCNQ5, and CACNA1B) may play a key role in the development of more directed anticancer therapy for SCC and AC patients. The first four of them are drug targets for chemotherapy and immunotherapy of esophageal cancer and involved in pharmacokinetics and pharmacodynamics pathways. Research identified novel DEGs in SCC and AC, and detected four potential drug targeted genes (ERBB3, ATP7B, ABCC3, and GALNT14) and five drug-related genes.
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