Correlation between lung cancer markers and air pollutants in western China population.

The relationship between serum lung cancer markers and the air pollution remains unclear. To further reveal the correlation between air pollutants and lung cancer, a retrospective analysis of 446,032 asymptomatic healthy people and symptomatic healthy people from the Health Management Center of the First Affiliated Hospital of Chongqing Medical University from 2014 to 2019 was performed. The distribution characteristics of serum lung cancer markers, cancer embryo antigens (CEA), cytokeratin 19 fragment (CYFRA211), squamous cell carcinoma antigen (SCC), and nerve-specific enolase (NSE) was analyzed in these population. Two independent sample man-Whitney U test was used to analyze the correlation of lung cancer markers and age, and a Chi-square test was used to analyze the relationship between lung cancer markers and gender. The daily change trend was profiled for six main air quality indicators PM10, PM2.5, SO2, NO2, CO, O3 during the same period. The correlation between lung markers and air pollutants was investigated by Spearman and multiple linear regression. The results showed that CYFRA211 had the highest excess rate in the screening population. There were differences in the number of cases with concentrated expression of lung cancer markers in the different age groups. Among them, the people with NSE exceeding the standard were the youngest, and most of them were 40-55 years old. Besides SCC, the expression levels of other markers increased with age, and the expression levels of the four markers in males were significantly higher than those in females. Although the levels of PM10 and PM2.5 exceeded the WHO standard (World Health Organization. 2011), they were not correlated with lung cancer markers. Multiple comparisons showed that the air pollutants SO2 and CYFRA211, as well as NO2 and NSE were closely related, but there was no significant linear relationship between CEA, SCC, and air pollutants. In conclusion, among the four lung cancer markers, CYFRA211 had the highest abnormal excess rate in total screening population, and the expression levels of these markers varied by gender and age, with males showing significantly higher expression levels than females, and they increased significantly with age except for SCC. The differential expression of these lung cancer markers may provide more strategies for lung cancer screening in the corresponding population. Lung cancer markers, CYFRA211 and NSE, can be used as sensitive biomarkers for exposure to certain air pollutants and provide references for the prevention and management of air pollution.

The predictive prognostic values of CBFA2T3, STX3, DENR, EGLN1, FUT4, and PCDH7 in lung cancer.

BACKGROUND: Lung cancer is one of the most malignant tumors. However, neither the pathogenesis of lung cancer nor the prognosis markers are completely clear. The purpose of this study is to screen the diagnostic or prognostic markers of lung cancer. METHODS: TCGA and GEO datasets were used to analyze the relationship between lung cancer-related genes and lung cancer samples. Common differential genes were screened, and a univariate Cox regression analysis was used to screen survival related genes. A univariable Cox proportional hazards regression analysis was used to verify the genes and construct risk model. The key factors affecting the prognosis of lung cancer were determined by univariate and multivariate regression analyses. The ROC curve, AUC and the survival of each risk gene was analyzed. Finally, the biological functions of high- and low-risk patients were explored by GSEA and an immune-infiltration analysis. RESULTS: Based on the common differential genes, 13 genes significantly related to lung cancer survival were identified. Eight risk genes (CBFA2T3, DENR, EGLN1, FUT2, FUT4, PCDH7, PHF14, and STX3) were screened out. The results showed that risk status may be an independent prognostic factor, and the risk score predicted the prognosis of lung cancer. CBFA2T3 and STX3 are protective genes, while DENR, EGLN1, FUT4 and PCDH7 are dangerous genes. These 6 genes can be used as independent lung cancer prognosis markers. The corresponding biological functions of genes expressed in high-risk patients were mostly related to tumor proliferation and inflammatory infiltration. Neutrophil, CD8+T, Macrophage M0, Macrophage M1- and mDC-activated cells were high in high-risk status samples. CONCLUSIONS: CBFA2T3, STX3, DENR, EGLN1, FUT4, and PCDH7 are important participants in the occurrence and development of lung cancer. High-risk patients display serious inflammatory infiltration. This study not only provides insight into the mechanism of occurrence and development of lung cancer, but also provides potential targets for targeted therapy of lung cancer.

Lung cancer increases H2O2 concentration in the exhaled breath condensate, extent of mtDNA damage, and mtDNA copy number in buccal mucosa.

We have shown that the H2O2 concentration in exhaled breath condensate (EBC) in lung cancer patients increases significantly compared to the EBC of healthy people and revealed the correlation between the H2O2 level in the EBC and amount of mtDNA damage in buccal mucosa cells. The H2O2 hyper-production may trigger mitochondrial biogenesis, thereby resulting in an increase in mtDNA copy number. However, we did not observe a significant difference in the studied parameters between smokers and non-smokers. Overall, our data suggest that H2O2 concentration in the EBC, the extent of mtDNA damage, and mtDNA copy number in buccal mucosa could be potential as an early diagnostic marker of lung cancer.

Analytical capability of flow cytometric bead array for lung cancer markers / 药物评价研究

Objective To appraise the analytical capability of flow cytometric bead array for lung cancer markers through the tests of limit of detection,relative standard deviation,specificity,methods comparation and linearity rang.Methods The limit of detection,relative standard deviation,specificity and linearity rang in detection of Carcinoembryonic antigen (CEA),cytokeratin 19 (Cyfra21-1) and neuron specific enolase (NSE) in serum were evaluated by flow cytometer.Western blotting method was ultilized to validate the specificity of antibody-antigen recognization.The interference of hemoglobin,three acyl glycerol and bilirubin on the detection of CEA,Cyfra21-1 and NSE was tested.Compared to electrochemiluminescence immunoassay,the relative error for flow cytometric bead array was assessed.Results Flow cytometric bead array demonstrated that the limit of detection was 1.71 pg/mL for CEA,3.97 pg/mL for cyfra21-1,and 2.27 pg/mL for NSE.The relative standard deviation for intra-assay and inter-assay were below 10％ and 15％,respectively.The pair of antibodies can defferentially recognize antigens.The measurement for CEACAM6,CK18,NSE appeared that there was no significant cross-talking reaction.Three acyl glycerol and bilirubin did not significantly interfere with the detection for serum samples.Hemoglobin of 500 ng/mL can significantly interfere with the detection of Cyfra21-1 (P ＜ 0.05) and NSE (P ＜ 0.05).The correlation coefficient between flow cytometric array and electrochemiluminescence immunoassay was 0.984 2 for serum CEA,0.962 2 for serum cyfra 21-1 and 0.982 0 for serum NSE.The linearity ranged from 355.76 pg/mL to 367.74 ng/mL for CEA,from 87.89 pg/mL to 107.8 ng/mL for cyfra21-1,and from 90.12 pg/mL to 86.07 ng/mL for NSE.Conclusion Flow cytometric array for lung cancer markers may be of use in clinical detection.