Objective To analyze the status of 2 649 suspected pertussis patients in Xi'an and the changes in laboratory diagnostic indi-cators.Methods 2 649 patients with suspected pertussis who visited the Second Affiliated Hospital of Xi'an Jiaotong University from June 2023 to May 2025 were collected as the research subjects.Nasopharyngeal swabs were collected from the patients,and pertussis nucleic acid was detected by polymerase chain reaction(PCR)-fluorescence probe method.Laboratory diagnostic indicators were an-alyzed.Results Among the 2 649 samples tested,250 were positive for pertussis nucleic acid,with a positive detection rate of 9.44%.The detection rate in male patients was 9.37%(127/1 356),and in female patients was 9.51%(123/1 293),with difference no was statis-tically significant between the two groups(χ2=0.019,P=0.894).There was a statistically significant difference in the positive detection rate among different age groups(χ2=46.473,P<0.05),with the highest positive detection rate in the 7～19 age group(14.98%).The prevalence of pertussis showed a seasonal characteristic with a peak from April to September.21.2%(53/250)of the positive patients were mixed infections.In the 1～14 age group,the white blood cell count(WBC),lymphocyte percentage(LYMP%),and lymphocyte count(LYMP#)in the pertussis infection group were higher than those in the Mycoplasma pneumoniae(MP)infection group(t=10.179,5.819,8.614)and the Respiratory syncytial virus(RSV)infection group(t=16.570,2.618,7.185),and the differences were statistically significant(all P<0.01),respectively.In the＞14 age group,the LYMP%and LYMP#in the pertussis infection group were higher than those in the MP infection group(t=3.275,2.319)and the RSV infection group(t=2.401,4.617),and the differences were statistically significant(all P<0.05),respectively.Conclusion The pertussis infection status in Xi'an area from 2023 to 2025 shows significant char-acteristics in terms of age,season and laboratory test results.It is necessary to further improve the pertussis surveillance system in this area,optimize the clinical diagnosis and treatment process and strengthen the vaccination work of pertussis vaccine.

Objective To analyze the status of 2 649 suspected pertussis patients in Xi'an and the changes in laboratory diagnostic indi-cators.Methods 2 649 patients with suspected pertussis who visited the Second Affiliated Hospital of Xi'an Jiaotong University from June 2023 to May 2025 were collected as the research subjects.Nasopharyngeal swabs were collected from the patients,and pertussis nucleic acid was detected by polymerase chain reaction(PCR)-fluorescence probe method.Laboratory diagnostic indicators were an-alyzed.Results Among the 2 649 samples tested,250 were positive for pertussis nucleic acid,with a positive detection rate of 9.44%.The detection rate in male patients was 9.37%(127/1 356),and in female patients was 9.51%(123/1 293),with difference no was statis-tically significant between the two groups(χ2=0.019,P=0.894).There was a statistically significant difference in the positive detection rate among different age groups(χ2=46.473,P<0.05),with the highest positive detection rate in the 7～19 age group(14.98%).The prevalence of pertussis showed a seasonal characteristic with a peak from April to September.21.2%(53/250)of the positive patients were mixed infections.In the 1～14 age group,the white blood cell count(WBC),lymphocyte percentage(LYMP%),and lymphocyte count(LYMP#)in the pertussis infection group were higher than those in the Mycoplasma pneumoniae(MP)infection group(t=10.179,5.819,8.614)and the Respiratory syncytial virus(RSV)infection group(t=16.570,2.618,7.185),and the differences were statistically significant(all P<0.01),respectively.In the＞14 age group,the LYMP%and LYMP#in the pertussis infection group were higher than those in the MP infection group(t=3.275,2.319)and the RSV infection group(t=2.401,4.617),and the differences were statistically significant(all P<0.05),respectively.Conclusion The pertussis infection status in Xi'an area from 2023 to 2025 shows significant char-acteristics in terms of age,season and laboratory test results.It is necessary to further improve the pertussis surveillance system in this area,optimize the clinical diagnosis and treatment process and strengthen the vaccination work of pertussis vaccine.

Objective To construct an XGBoost predictive model using clinical characteristic data from patients with chronic obstructive pulmonary disease(COPD)and evaluate the efficacy of the predictive model in early risk prediction of lung cancer occurrence in COPD patients.Methods In this retrospective cross-sectional study,cluster sampling was used.We selected clinically diagnosed COPD patients admitted to The Second Affiliated Hospital of Xi'an Jiaotong University from January 1,2018,to December 31,2022.A total of 4 008 patients with complete data were included.First,the baseline of each characteristic was analyzed,and then XGBoost was used to construct the lung cancer risk prediction model for COPD patients,and SHAP(SHapley Additive exPlanation)value was used to quantify and attribute the importance of each characteristic.DC A curve was used to evaluate the clinical application value.Results After constructing a lung cancer risk model for COPD patients using 28 variables,eight variables were selected according to the importance of the variables and clinical experience,and the prediction model was reconstructed.The model efficacy in the training set and the test set was 0.948(0.938,0.958)and 0.797(0.738,0.856),respectively.SHAP diagram showed that elevated CEA,CA125,FIB,eosinophils,PLT and D-dimer and reduced TT all contributed to an increased risk of lung cancer in COPD patients.DCA curve showed that the prediction model had clinical application value,which could help doctors make more accurate prognosis prediction and treatment decisions.Conclusion The successful establishment of an XGBoost predictive model,utilizing a subset of features,enables early prediction of lung cancer occurrence in COPD patients.

Objective To construct an XGBoost predictive model using clinical characteristic data from patients with chronic obstructive pulmonary disease(COPD)and evaluate the efficacy of the predictive model in early risk prediction of lung cancer occurrence in COPD patients.Methods In this retrospective cross-sectional study,cluster sampling was used.We selected clinically diagnosed COPD patients admitted to The Second Affiliated Hospital of Xi'an Jiaotong University from January 1,2018,to December 31,2022.A total of 4 008 patients with complete data were included.First,the baseline of each characteristic was analyzed,and then XGBoost was used to construct the lung cancer risk prediction model for COPD patients,and SHAP(SHapley Additive exPlanation)value was used to quantify and attribute the importance of each characteristic.DC A curve was used to evaluate the clinical application value.Results After constructing a lung cancer risk model for COPD patients using 28 variables,eight variables were selected according to the importance of the variables and clinical experience,and the prediction model was reconstructed.The model efficacy in the training set and the test set was 0.948(0.938,0.958)and 0.797(0.738,0.856),respectively.SHAP diagram showed that elevated CEA,CA125,FIB,eosinophils,PLT and D-dimer and reduced TT all contributed to an increased risk of lung cancer in COPD patients.DCA curve showed that the prediction model had clinical application value,which could help doctors make more accurate prognosis prediction and treatment decisions.Conclusion The successful establishment of an XGBoost predictive model,utilizing a subset of features,enables early prediction of lung cancer occurrence in COPD patients.

BACKGROUND: A lack of effective treatment for lung squamous cell carcinoma (LUSC) makes it an important factor restricting the 5-year survival rate of non-small cell lung cancer (NSCLC). Long non-coding RNA 00668 (LINC00668) was reported to play crucial regulatory roles in the tumorigenesis and progression of various cancers; however, its role in LUSC is unclear. The aim of this study was to investigate the prognosis value and biological function of LINC00668 in NSCLC, especially in LUSC. METHODS: The expression pattern of LINC00668 and its relationship with clinical characteristics and prognosis of patients were investigated in the NSCLC especially LUSC based on The Cancer Genome Altas (TCGA) database. Its function in LUSC cells was explored in vitro. RESULTS: LINC00668 expression was significantly up-regulated in LUSC patients and high expression level of LINC00668 was associated with advanced tumor-node-metastasis (TMN) stage. Moreover, the expression of LINC00668 significantly increased in smoking patients, and was a prognostic indicator for overall survival (OS) of smoking patients with LUSC. In vitro experiments showed that LINC00668 has significantly higher expression level in LUSC cell lines and tissues compared to normal bronchial epithelial cell and para-tumor tissues; meanwhile, functional assay indicated knockdown of LINC00668 effectively inhibited the migration and invasion of LUSC cells. CONCLUSIONS LINC00668 might closely relate to the development of LUSC, and inhibition of LINC00668 may reduce the metastasis of LUSC.
Carcinoma, Non-Small-Cell Lung ; Carcinoma, Squamous Cell/genetics* ; Cell Movement/genetics* ; Humans ; Lung ; Lung Neoplasms/genetics* ; RNA, Long Noncoding/genetics*

BACKGROUND: Solitary pulmonary nodule has received increasing attention in recent years. A couple of lung nodules have been recognized as primary malignant tumors, which leads to an urgent need in enhancing the diagnosis of benign/malignant lung nodules at clinical settings. This study aims to explore the value of the combined detection of cytokines and tumor markers in differencing benign and malignant solitary pulmonary nodules in diagnose. METHODS: With 81 solitary pulmonary nodules cases with a clear diagnosis, the general clinical data, nodule imaging features, pathological diagnosis data, serological index cytokine series and tumor marker expression levels were collected in groups. Both single factor and multi-factors analysis were conducted to screen out the serum influence indexes that can predict the malignant probability of lung nodules, and mean while binary logistic regression analysis was used to construct joint indexes; After receiver operating characteristic curve (ROC) was drawn, the area under the curve and the corresponding sensitivity, specificity and positive of each index predicted value, negative predicted value and accuracy could be calculated with a view to determine the statistical significance of area under the curve (AUC). RESULTS: There are differences in the distribution of malignant solitary pulmonary nodules at different locations, with the highest proportion of the right upper lobe (40.4%). The serum levels of carcinoembryonic antigen (CEA), cytokeratin 19 fragment 21-1 (CYFRA21-1), interleukin-6 (IL-6), interleukin-8 (IL-8) in the malignant nodule group were higher than those in the benign nodule group. Logistic regression analysis suggests that CEA, IL-6 and IL-8 are independent risk factors for predicting malignant nodules. ROC curve analysis shows that the areas under the curve of the individual indicators CEA, IL-6 and IL-8 are 0.642, 0.684 and 0.749. The comparison result of the test efficiency of the area under the curve suggests that CEA+IL-6+IL-8 has a larger area under the curve and higher detection efficiency. CONCLUSIONS CEA, IL-6 and IL-8 are independent risk factors for malignant solitary pulmonary nodules. The combined detection of cytokines and tumor markers has played a role in the differential diagnosis of benign and malignant lung nodules. The diagnostic value of the combined detection of CEA+IL-6+IL-8 is the highest.

Since mid-December 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has outbroken in Wuhan, Hubei Province, China, and spread rapidly to other provinces in China and dozens of countries and regions around the world, becoming the Public Health Emergency of International Concern (Public Health Emergency of International Concern). SARS-CoV-2 can mainly transmit by droplets or close contact, and is generally susceptible in the crowd. Tumor patients are at high risk of this pathogen because of their impaired immune function. Identifying tumor patients with 2019 novel coronavirus disease (COVID-19) early, and understanding its distribution characteristics can help to improve the cure rate of patients, and better control the epidemic and development of SARS-CoV-2 much better. With comprehensive analysis of relevant literature, this paper reviews the clinical characteristics of neoplastic patients with COVID-19, and puts forward some suggestions on how to deal with this epidemic.
Betacoronavirus ; Coronavirus Infections ; complications ; epidemiology ; prevention & control ; transmission ; Epidemics ; Humans ; Neoplasms ; complications ; Pandemics ; prevention & control ; Pneumonia, Viral ; complications ; epidemiology ; prevention & control ; transmission

BACKGROUND: It has been widely reported that the most types of cancer are probably originated from cancer stem cells (CSCs) which are subpopulations of tumor cells. Recent studies also suggested that lung cancer could arise from CSCs. However, the phenotypic characteristics of CSCs in lung cancer have not been precisely described.OBJECTIVE: To systematically analyze the expression of the most common CSC markers in cell line A549.METHODS: A549 cells were cultured for 1 week under the condition of conventional high glucose. After that, flow cytometry was used to assess the expression of putative stem cell markers, including CD133, CD24, CD44 and ABCG2.Cells were then sorted according to the expression of CD44 and CD24 markers by fluorescence-activated cell sorting (FACS) and characterized using their sphere-forming capacity in serum free medium supplemented with several growth factors.RESULTS AND CONCLUSION: A549 cells expressed the CSC markers CD44 and CD24 at 64.23％ and 58.62％,whereas the expression of both ABCG2 and CD133 was around 0.9％. Double-positive CD44/133 populations were rare.CD44+/CD24+ and CD44+/CD24- subpopulations respectively exhibited 54.64％ and 23.38％ expression. CD44+/CD24+ and CD44+/CD24- subsets were sorted by FACS. Both isolated subpopulations formed spheres in the serum free medium supplemented with basic fibroblast growth factor and epidermal growth factor. However, there was no significant difference in the sphere formation efficiency among CD44+/CD24+ and CD44+/CD24- subsets as well as A549 cells. Our findings suggest that CD44 and CD24 cannot be considered as potential markers for isolating lung CSCs in cell line A549, and further investigation using in vivo assays is required.

Objective To investigate the influence of S100A6 gene RNA interference on the biological behaviors of A549 lung adenocarcinoma cells.Methods The S100A6 gene RNA interference vector was transfected in A549 lung adenocarcinoma by lentivirus.The experiment was divided into three groups:pLenR-GPH group (the vector without S100A6 RNAi gene was transfected),negative control group (no vectors was transfected),and RNAi group (the vector with S100A6 RNAi gene was transfected).S100A6 mRNA and protein were detected using real-time PCR and Western blotting.The biological behavior including cell proliferation,invasion,cell cycle and cell apoptosis were detected by 3-(4,5-dimethyl-2-thiazoly)-2,5-diphenyl-2H-tetrazolium bromide,transwell,and flow cytometer,respectively.Results The expression of S100A6 mRNA of A549 lung adenocarcinoma cell line in RNAi group (0.009 ± 0.001) was significantly decreased than those in negative control group (0.049 ± 0.005) and pLenR-GPH group (0.030 ± 0.006),with statistically significant differences (t =57.56,P =0.000;t =48.21,P =0.000).The expression of S100A6 protein of A549 lung adenocarcinoma cell line in RNAi group (0.107 ± 0.002) was significantly decreased than those in negative control group (0.341 ± 0.005) and pLenR-GPH group (0.311 ± 0.006),with statistically significant differences (t =37.34,P =0.000;t =27.51,P =0.001).The ability of cell proliferation at 48 hours in RNAi group (0.230 ± 0.008) was significantly declined than those in negative control group (0.292 ± 0.038) and pLenR-GPH group (0.307 ± 0.013),with statistically significant differences (t =25.31,P =0.003;t =29.42,P =0.001).The number of transmembrane cells in RNAi group (11.40 ± 1.36) was significantly declined than those in negative control group (26.80 ± 1.83) and pLenR-GPH group (25.80 ± 1.93),with statistically significant differences (t =29.44,P =0.001;t =23.17,P =0.005).The cell proportion of S phase in RNAi group (28.26％ ± 0.38％) was significantly lower than those in pLenR-GPH group (44.73％±0.66％) and negative control group (45.15％ ± 1.69％),with statistically significant (t =63.69,P=0.000;t =71.55,P =0.000).Cell propotion of G2-M phase in RNAi group (26.99％ ± 0.29％) was signi-ficantly higher than those in negative control group (13.26％ ±0.49％) and pLenR-GPH group (12.41％ ± 0.46％),with statistically significant (t =56.31,P =0.000;t =51.39,P =0.000).The cell apoptosis proportion in RNAi group (8.90％ ±0.48％) was significantly higher than those in negative control group (5.84％ ±0.21％) and pLenR-GPH group (5.99％ ±0.37％),with statistically significant (t=51.34,P =0.000;t =47.27,P =0.000).Conclusion S100A6 gene involves the proliferation,invasion,cell cycle and apoptosis of tumor cells,which has close correlation with occurrence,development and metastasis of lung adenocarcinoma.S100A6 gene is hopeful to become a molecular target for the diagnosis and treatment of lung adenocarcinoma.

Background and objective Cathepsin X (Cat X) has been identiifed as a member of cathepsin family. Studies have shown that Cat X is involved in tumorigenesis and tumor development of various cancers. hTe aim of this study is to investigate the relationship between the clinicopathological prognosis and the levels of Cat X and cystatin C in the serum of patients with lung cancer. Methods Blood samples were collected from 84 patients with lung cancer and 36 healthy control subjects. Cat X and cystatin C were determined by quantitative ELISA. Results Cat X and cystatin C levels were signiifcantly higher in the patients with lung cancer than that in the healthy control subjects (P<0.01). Cat X level was correlated with the pathological types of lung cancer (P=0.076). Cystatin C was positively correlated with TNM stage (P=0.01). Furthermore, cystatin C/Cat X was correlated with lymph node metastasis (P=0.058). hTe patients with high Cat X levels experienced sig-niifcantly shorter overall survival rates compared with those with low Cat X. Univariate analysis indicated that Cat X and TNM stage were related to overall survival. Multivariate Cox analysis indicated that TNM stage may be used as an independent prog-nostic variable in patients with lung cancer. Conclusion Cat X and cystatin C levels were signiifcantly higher in patients with lung cancer. Cat X and cystatin C detection in the sera may contribute to the diagnosis of lung cancer and may be used to evalu-ate the prognosis of patients with NSCLC.