Air pollution and kidney cancer risk: a systematic review and meta-analysis.

BACKGROUND: Although several risk factors of kidney cancer have already been well-addressed, many remain underappreciated, such as chronic exposure to air pollution. This systematic review and meta-analysis aims to assess the association between air pollutant exposure and the risk of kidney cancer. METHODS: With an exhaustive search equation including keywords related to air pollution and kidney cancer on EMBASE, PubMed, Web of science, Cochrane Library and CINAHL database, we identified all relevant articles published before March 23rd, 2023 (Prospero registration number: CRD42020187956). Using random-effects meta-analysis, we present pooled hazard ratios (with their respective 95% confidence interval) associated with a 10 µg/m3 increase in each pollutant level. Heterogeneity was quantified by the I2 statistic. Risks of methodological and publication bias were also both assessed using appropriate tools. RESULTS: Of the 1919 records identified, our review included 19 articles (13 cohort, 5 registry-based and 1 case-control studies), of which 9 were suitable for the meta-analysis. We found a significantly increased risk of kidney cancer incidence for a 10 µg/m3 elevation of both particulate matter of less than 10 µm (PM10) (HR = 1.29 [1.10; 1.51], I2 = 0%, p = 0.002) and nitrogen dioxide (NO2) (HR = 1.10 [1.03; 1.18], I2 = 20%, p = 0.004). Secondary analyses also suggest an increased risk of kidney cancer-related morbidity-mortality associated with PM10 exposure. CONCLUSIONS: Overall, our findings suggest a potential association between exposure to increased levels of PM10 and NO2 and the risk of kidney cancer. These results should nonetheless be interpreted with caution due to the limited number of included studies and their significant risk of methodological bias.

Prognostic impact of positive microscopic margins (R1 resection) in patients with GIST (gastrointestinal stromal tumours): Results of a multicenter European study.

BACKGROUND: Although several prognostic factors in GIST have been well studied such as tumour size, mitotic rate, or localization, the influence of microscopic margins or R1 resection remains controversial. The aim of this study was to evaluate the influence of R1 resection on the prognosis of GIST in a large multicentre retrospective series of patients. METHODS: From 2001 to 2013, 1413 patients who underwent surgery for any site of GIST were identified from 61 European centers. 1098 patients were included, excluding synchronous metastases, concurrent malignancies, R2 resection or GIST recurrence. Tumour rupture (TR) was reclassified according to the Oslo sarcoma classification. Cox proportional hazards ratio and Kaplan-Meier survival estimates were used to analyse 5-year recurrence-free survival (RFS). RESULTS: Of 1098 patients, 38 (3%) underwent R1 resection with a risk of TR of 11%. The 5-year RFS was 89.6% with a median follow-up of 81 months [range: 31.2-152 months]. On univariate analysis, lower RFS was significantly associated with R1 resection [HR = 2.13; p = 0.04], high risk score according to the modified NIH classification, administration of adjuvant therapy [HR = 2.24; p < 0.001] and intraoperative complications [HR = 2.82; p < 0.001]. Only intraoperative complications [HR = 1.79; p = 0.02] and high risk according to the modified NIH classification including the updated definition of TR [HR = 3.43; p = 0.04] remained significant on multivariate analysis. CONCLUSION: This study shows that positive microscopic margins are not an independent predictive factor for RFS in GIST when taking into account the up-dated classification of TR. R1 resection may be considered a reasonable alternative to avoid major functional sequelae and should not lead to reoperation.

The relationship between residential exposure to atmospheric pollution and circulating miRNA in adults living in an urban area in northern France.

INTRODUCTION: MicroRNAs are epigenetic regulatory factors capable of silencing the expression of target genes and might mediate the effects of air pollution on health. The objective of the present population-based study was to investigate the association between microRNA expression and long-term, residential exposure to atmospheric PM10 and NO2. METHOD: We included 998 non-smoking adult participants from the cross-sectional ELISABET survey (2010-2014) in the Lille urban area of France. The mean residential annual pollution levels were estimated with an atmospheric dispersion modelling system. Ten microRNAs were selected on the basis of the literature data, together with two housekeeping microRNAs (miR-93-5p and miR-191-5p) and were quantified with RT-qPCRs. Multivariate linear regression models were used to study the association between microRNAs and air pollution. The threshold for statistical significance (after correction for the FDR) was set to p < 0.1. RESULTS: The mean annual exposure between 2011 and the year of inclusion was 26.4 ± 2.0 µg/m3 for PM10 and 24.7 ± 5.1 µg/m3 for NO2. Each 2 µg/m3 increment in PM10 exposure was associated with an 8.6% increment (95%CI [3.1; 14.3]; pFDR = 0.019) in miR-451a expression. A 5 µg/m3 increment in NO2 exposure was associated with a 5.3% increment ([0.7; 10]; pFDR = 0.056) in miR451a expression, a 3.6% decrement (95%CI [-6.1; -1.1]; pFDR = 0.052) in miR-223-3p expression, a 3.8% decrement (95%CI[-6.8; -0.7]; pFDR = 0.079) in miR-28-3p expression, a 4.3% decrement (95%CI [-7.7; -0.8]; pFDR = 0.055) in miR-146a-5p expression, and a 4.0% decrement (95% CI[-7.4; -0.4]; pFDR = 0.059) in miR-23a-5p expression. The difference between the two housekeeping microRNAs miR-93-5p and miR-191-5p was also associated with PM10 and NO2 exposure. CONCLUSION: Our results suggest that circulating miRNAs are potentially valuable biomarkers of the effects of air pollution.