BACKGROUND: Identification of screening tests for the detection of head and neck cancer (HNC) at an early stage is an important strategy to improving prognosis. Our objective was to identify plasma circulating miRNAs for the diagnosis of HNC (oral and laryngeal subsites), within a multicenter International Head and Neck Cancer Epidemiology consortium. METHODS: A high-throughput screening phase with 754 miRNAs was performed in plasma samples of 88 cases and 88 controls, followed by a validation phase of the differentially expressed miRNAs, identified in the screening, in samples of 396 cases and 396 controls. Comparison of the fold changes (FC) was carried out using the Wilcoxon rank-sum test and the Dunn multiple comparison test. RESULTS: We identified miR-151-3p (FC = 1.73, P = 0.007) as differentially expressed miRNAs in the screening and validation phase. The miR-151-3p was the only overexpressed miRNA in validation sample of patients with HNC with early stage at diagnosis (FC = 1.81, P = 0.008) and it was confirmed upregulated both in smoker early-stage cases (FC = 3.52, P = 0.024) and in nonsmoker early-stage cases (FC = 1.60, P = 0.025) compared with controls. CONCLUSIONS: We identified miR-151-3p as an early marker of HNC. This miRNA was the only upregulated in patients at early stages of the disease, independently of the smoking status. IMPACT: The prognosis for HNC is still poor. The discovery of a new diagnostic biomarker could lead to an earlier tumor discovery and therefore to an improvement in patient prognosis.
- MeSH
- cirkulující mikroRNA * MeSH
- lidé MeSH
- mikro RNA * genetika MeSH
- nádorové biomarkery genetika MeSH
- nádory hlavy a krku * diagnóza genetika MeSH
- průřezové studie MeSH
- stanovení celkové genové exprese MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
- práce podpořená grantem MeSH
With the aim to dissect the effect of adult height on head and neck cancer (HNC), we use the Mendelian randomization (MR) approach to test the association between genetic instruments for height and the risk of HNC. 599 single nucleotide polymorphisms (SNPs) were identified as genetic instruments for height, accounting for 16% of the phenotypic variation. Genetic data concerning HNC cases and controls were obtained from a genome-wide association study. Summary statistics for genetic association were used in complementary MR approaches: the weighted genetic risk score (GRS) and the inverse-variance weighted (IVW). MR-Egger regression was used for sensitivity analysis and pleiotropy evaluation. From the GRS analysis, one standard deviation (SD) higher height (6.9 cm; due to genetic predisposition across 599 SNPs) raised the risk for HNC (Odds ratio (OR), 1.14; 95% Confidence Interval (95%CI), 0.99-1.32). The association analyses with potential confounders revealed that the GRS was associated with tobacco smoking (OR = 0.80, 95% CI (0.69-0.93)). MR-Egger regression did not provide evidence of overall directional pleiotropy. Our study indicates that height is potentially associated with HNC risk. However, the reported risk could be underestimated since, at the genetic level, height emerged to be inversely associated with smoking.
- MeSH
- celogenomová asociační studie MeSH
- genetická predispozice k nemoci MeSH
- jednonukleotidový polymorfismus * MeSH
- lidé středního věku MeSH
- lidé MeSH
- mendelovská randomizace metody MeSH
- nádory hlavy a krku genetika MeSH
- senioři MeSH
- studie případů a kontrol MeSH
- tělesná výška genetika MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Background: Influenza and pneumococcal vaccines have been proved to be effective and safe in preventing and controlling infection among elderly, reducing morbidity and mortality. However, some evidences raised health concerns related to these vaccinations. This study aims to identify prevalence and outcomes related to influenza and pneumococcal vaccinations in a large European population of frail old people living in nursing homes (NHs). Methods: We conducted a survival analysis of NH residents participating to the Services and Health for Elderly in Long-TERm project, a prospective cohort study collecting information on residents admitted to 57 NH in eight countries (Czech Republic, England, Finland, France, Germany, Italy, The Netherlands and Israel). Clinical and demographical data were collected using the international resident assessement instrument for long-term care facilities. Incident mortality was recorded during 1-year follow-up. A shared-frailty Cox regression model was used to assess the impact of vaccination status on mortality. Results: Mean age of 3510 participants was 84.6 years (SD = 7.7). In total, 81.7 and 27.0% received influenza and pneumococcal vaccination, respectively. Overall, 727 (20.7%) residents died during the follow-up period. After adjusting for potential confounders, which included age, sex, number of diseases, depression, cognitive and functional status, influenza (HR = 0.80; 95% CI 0.66-0.97) and the combination of influenza and pneumococcal vaccination (HR = 0.72; 95% CI 0.57-0.91), but not pneumococcal vaccination alone (HR = 0.52; 95% CI 0.25-1.06), were associated with a statistically significant reduction in mortality in respect of no vaccinations. Conclusion: In a population of older adult living in NH influenza and the combination of influenza and pneumococcal vaccination were associated with a reduction in all-cause mortality respect to no vaccination.
- MeSH
- analýza přežití MeSH
- křehký senior statistika a číselné údaje MeSH
- lidé MeSH
- mortalita MeSH
- pečovatelské domovy statistika a číselné údaje MeSH
- pneumokokové vakcíny terapeutické užití MeSH
- proporcionální rizikové modely MeSH
- senioři nad 80 let MeSH
- vakcíny proti chřipce terapeutické užití MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Evropa epidemiologie MeSH