Cotton dust exposure and risk of lung cancer: A meta-analysis of observational studies

Occupational exposure to endotoxins and small cell lung cancer: a systematic review with meta-analysis

The relationship of occupational exposure to endotoxins with different histologic subtypes of lung cancer has not been established. Our objective was to conduct a systematic review with meta-analysis to assess the effect of exposure to endotoxins on the development of small cell lung cancer (SCLC). A bibliographic search was conducted using MEDLINE, Embase, CENTRAL, and Web of Science databases until December 2022, including all cohort and/or case-control studies that examined occupational exposure to endotoxins and SCLC. Risk of bias was assessed using the U.S. Office of Health Assessment and Translation tool. A random effects model was applied, publication bias were assessed, and a sensitivity analysis was conducted. Four papers were selected for meta-analysis purposes. A total of 144 incident cases of SCLC and 897 population or hospital controls were included. Occupational exposure to endotoxins was considered for textile/leather industry and agricultural sector workers exposed to endotoxins originating from wool, cotton, or leather dust. Except for one study, all investigations were classified as having a low probability of risk of biases. The results of the meta-analysis were not statistically significant (pooled OR: 0.86; 95% CI:0.69-1.08). In addition, neither between-study heterogeneity (I2=0%;p=0.92) nor publication bias was observed (p=0.49). The results of the sensitivity analysis, after including five studies that assessed the risk of SCLC among textile industry and crop/livestock farm workers (not specifically exposed to endotoxins), showed a negative statistically non-significant association and low between-study heterogeneity (pooled OR: 0.90; 95% CI:0.79-1.02; I2=22%;p=0.23). Subjects exposed to occupational exposure to endotoxins seem to exhibit a negative association with the development of SCLC, although the results are not conclusive.

Cognitive Impairment in Liver Transplant Recipients With a History of Cirrhosis: A Systematic Review

Cognitive impairment is common among patients with cirrhosis and may persist post-transplantation. This systematic review seeks to (1) describe the prevalence of cognitive impairment in liver transplant (LT) recipients with a history of cirrhosis, (2) describe risk factors for this population, and (3) describe associations between post-transplant cognitive impairment and quality outcome measures.

Methods

Studies in PubMed, Embase, Scopus, PsychINFO, and the Cochrane Database of Controlled Trials were included through May 2022. Inclusion criteria included (1) population - LT recipient, age ≥18 y, (2) exposure - history of cirrhosis before transplant, and (3) outcome - cognitive impairment after transplant (per validated cognitive testing). Exclusion criteria included (1) wrong study type, (2) abstract-only publication, (3) full-text unavailable, (4) wrong population, (5) wrong exposure, and (6) wrong outcome. The risk of bias was assessed using the Newcastle-Ottawa Scale and the Appraisal tool for Cross-Sectional Studies. The Grading of Recommendations, Assessment, Development, and Evaluations system was used to assess evidence certainty. Data from individual tests were categorized into six cognitive domains: attention, executive function, working memory, long-term memory, visuospatial, and language.

Results

Twenty-four studies were included covering 847 patients. Follow-up ranged from 1 mo to 1.8 y after LT. Studies had a median of 30 (interquartile range 21.5-50.5) patients. The prevalence of cognitive impairment after LT ranged from 0% to 36%. Forty-three unique cognitive tests were used, the most common being the Psychometric Hepatic Encephalopathy Score. The most frequently assessed cognitive domains were attention (10 studies) and executive function (10 studies).

Conclusions

The prevalence of cognitive impairment after LT varied across studies depending on cognitive tests utilized and follow-up duration. Attention and executive function were most impacted. Generalizability is limited due to small sample size and heterogeneous methodology. Further studies are needed to examine differences in the prevalence of post-LT cognitive impairment by etiology, risk factors, and ideal cognitive measures.

The potential diagnostic value of extracellular vesicle miRNA for human non-small cell lung cancer: a systematic review and meta-analysis

Background: This meta-analysis aimed to evaluate the diagnostic accuracy of extracellular vesicles (EV) miRNAs for non-small cell lung cancer (NSCLC).Methods: All eligible studies were searched in an online database. Stata 15.0, Meta-disc 14.0 and Review Manager 5.2 software packages were used to perform all statistical analysis.Results: The analysis included 16 articles and 70 studies. Pooled sensitivity (SEN) and specificity (SPE), positive predictive value and negative predictive value were 0.77 (95% CI: 0.72-0.80), 0.83 (95% CI: 0.78-0.86), 0.88 (95% CI: 0.86-0.90) and 0.63 (95% CI: 0.58-0.68), respectively. The overall diagnostic odds ratio (DOR) was 16 (95% CI: 11-21) and the area under the curve (AUC) was 0.86 (95% CI: 0.83-0.89). 3 EV miRNAs could identify metastatic NSCLC from healthy, and 10 distinguish early-stage NSCLC. The respective targets of EV miR-21, miR-210, and miR-1290 could activate PI3K/AKT-related pathway.Conclusion: EV miRNAs had high diagnostic accuracy (AUC = 0.86) for NSCLC, especially metastatic NSCLC (AUC = 0.90), and early-stage NSCLC (AUC = 0.88). Besides, multitudinous EV miRNAs combined showed higher diagnostic value than alone. EV miR-21, miR-210, and miR-1290 might be associated with PI3K/AKT-related pathway and the valuable diagnostic biomarkers for NSCLC.

Accumulated ambient air pollution and colon cancer incidence in Thailand

This research examined the relationship between colon cancer risks and pollution in various areas of Thailand, using satellites to gather quantities of aerosols in the atmosphere. Bayesian hierarchical spatio-temporal model and the Poisson log-linear model were used to examine the incidence rates of colon cancer standardized by national references; from the database of the National Health Security Office, Ministry of Public Health of Thailand and NASA's database from aerosol diagnostics model. Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) was used to explore disease-gender-specific spatio-temporal patterns of colon cancer incidences and accumulated air pollution-related cancers in Thailand between 2010 and 2016. A total of 59,605 patients were selected for the study. Due to concerns regarding statistical reliability between aerosol diagnostics model and colon cancer incidences, the posterior probabilities of risk appeared the most in dust PM_2.5. It could be interpreted as relative risk in every increase of 10 μg/m³ in black carbon, organic carbon, and dust-PM_2.5 levels were associated respectively with an increase of 4%, 4%, and 15% in the risks of colon cancer. A significant increase in the incidence of colon cancer with accumulated ambient air quality raised concerns regarding the prevention of air pollution. This study utilized data based on the incidences of colon cancer; the country's database and linked cancer data to pollution. According to the database from NASA's technology, this research has never been conducted in Thailand.