Association between long-term exposure to air pollution and the risk of incident laryngeal cancer: a longitudinal UK Biobank-based study.

We assessed the association between long-term joint exposure to ambient air pollutants and the risk of laryngeal cancer and whether this risk was modified by genetic susceptibility. We used a multivariable Cox proportional hazards regression model to analyze data from UK Biobank to determine the relationship between long-term exposure to air pollutants-nitric oxide (NO), nitrogen dioxide (NO2), and 2.5-µm and 10-µm particulate matter (PM2.5 and PM10) and the risk of laryngeal cancer. In multivariable-adjusted models, in model 3 and compared with the participants with lower quintile scores for air pollution, the participants with the highest quintile scores for air pollution had a higher laryngeal cancer risk. The observed association was more pronounced among the participants who were female, were smokers, had a systolic blood pressure equal to or greater than 120 mmHg, and had diabetes. Compared with the participants with a low GRS and the lowest quintile score for air pollution exposure, those with an intermediate GRS and the highest quintile score for air pollution exposure had a higher risk of laryngeal cancer. Long-term exposure to NO2, NO, or PM2.5, individually or jointly, was associated with a risk of incident laryngeal cancer, especially in the participants with an intermediate GRS.

Arylsulfatase I is a prognostic biomarker for head and neck squamous cell carcinoma and Pan-cancer.

BACKGROUND: Sulfatase gene family members mediate various biological functions in tumor stroma and tumor cell environments. However, the expressions and prognostic value of Arylsulfatase I (ARSI), a sulfatase gene family member, in head and neck squamous cell carcinoma (HNSC) have not been fully established. METHODS: Arylsulfatase I expressions in pan-cancer were profiled using publicly available databases. Then, univariate Cox regression, Kaplan-Meier, and the Pearson's correlation analyses were performed to determine correlations between ARSI expressions and cancer prognosis, immune cell status, and drug sensitivity. Gene set variation analysis (GSVA) and gene set enrichment analysis (GSEA) were used to assess the potential mechanisms underlying ARSI functions in HNSC. RESULTS: Arylsulfatase I was highly expressed in 15 cancer types, with significant expressions in HNSC. Elevated ARSI levels were associated with worse prognostic outcomes in HNSC patients. In addition, GSVA and GSEA showed that ARSI was highly involved in tumor cell escape and inflammatory responses. Expressions of ARSI negatively correlated with tumor mutation burden or microsatellite instability and positively correlated with immune-related genes. Elevated ARSI expressions conferred poor tolerance to daporinad and sinularin, but increased cell sensitivity to dasatinib and XAV939. CONCLUSION: Arylsulfatase I is a promising prognostic and therapeutic target for HNSC.

[Design of a wireless fetal electrocardiogram monitoring system based on S3C2410].

This paper introduces a new fetal electrocardiogram monitoring system based on S3C2410 and telecommunication, and its framework and flow chart. Based on the genetic algorithm, the improved IIR adaptive filter achieves the non-invasive, real-time extraction of FECG. The system provides the reliable gist for the diagnosis of fetal congenital diseases. FECG extraction, S3C2410, telecommunication, genetic algorithm, IIR adaptive filter.