CDC45 promotes the stemness and metastasis in lung adenocarcinoma by affecting the cell cycle.

OBJECTIVE: This study aimed to assess the functions of cell division cycle protein 45 (CDC45) in Non-small cell lung cancer (NSCLC) cancer and its effects on stemness and metastasis. METHODS: Firstly, differentially expressed genes related to lung cancer metastasis and stemness were screened by differential analysis and lasso regression. Then, in vitro, experiments such as colony formation assay, scratch assay, and transwell assay were conducted to evaluate the impact of CDC45 knockdown on the proliferation and migration abilities of lung cancer cells. Western blotting was used to measure the expression levels of related proteins and investigate the regulation of CDC45 on the cell cycle. Finally, in vivo model with subcutaneous injection of lung cancer cells was performed to verify the effect of CDC45 on tumor growth. RESULTS: This study identified CDC45 as a key gene potentially influencing tumor stemness and lymph node metastasis. Knockdown of CDC45 not only suppressed the proliferation and migration abilities of lung cancer cells but also caused cell cycle arrest at the G2/M phase. Further analysis revealed a negative correlation between CDC45 and cell cycle-related proteins, stemness-related markers, and tumor mutations. Mouse experiments confirmed that CDC45 knockdown inhibited tumor growth. CONCLUSION: As a novel regulator of stemness, CDC45 plays a role in regulating lung cancer cell proliferation, migration, and cell cycle. Therefore, CDC45 may serve as a potential target for lung cancer treatment and provide a reference for further mechanistic research and therapeutic development.

Identification of high-risk population of pneumoconiosis using deep learning segmentation of lung 3D images and radiomics texture analysis.

OBJECTION: The aim of this study is to develop an early-warning model for identifying high-risk populations of pneumoconiosis by combining lung 3D images and radiomics lung texture features. METHODS: A retrospective study was conducted, including 600 dust-exposed workers and 300 confirmed pneumoconiosis patients. Chest computed tomography (CT) images were divided into a training set and a test set in a 2:1 ratio. Whole-lung segmentation was performed using deep learning models for feature extraction of radiomics. Two feature selection algorithms and five classification models were used. The optimal model was selected using a 10-fold cross-validation strategy, and the calibration curve and decision curve were evaluated. To verify the applicability of the model, the diagnostic efficiency and accuracy between the model and human interpretation were compared. Additionally, the risk probabilities for different risk groups defined by the model were compared at different time intervals. RESULTS: Four radiomics features were ultimately used to construct the predictive model. The logistic regression model was the most stable in both the training set and testing set, with an area under curve (AUC) of 0.964 (95 % confidence interval [CI], 0.950-0.976) and 0.947 (95 %CI, 0.925-0.964). In the training and testing sets, the Brier scores were 0.092 and 0.14, respectively, with threshold probability ranges of 2 %-99 % and 2 %-85 %. These results indicate that the model exhibits good calibration and clinical benefit. The comparison between the model and human interpretation showed that the model was not inferior in terms of diagnostic efficiency and accuracy. Additionally, the high-risk population identified by the model was diagnosed as pneumoconiosis two years later. CONCLUSION: This study provides a meticulous and quantifiable method for detecting and assessing the risk of pneumoconiosis, building upon accurate diagnosis. Employing risk scoring and probability estimation, not only enhances the efficiency of diagnostic physicians but also provides a valuable reference for controlling the occurrence of pneumoconiosis.

Development of an invasion score based on metastasis-related pathway activity profiles for identifying invasive molecular subtypes of lung adenocarcinoma.

The invasive capacity of lung adenocarcinoma (LUAD) is an important factor influencing patients' metastatic status and survival outcomes. However, there is still a lack of suitable biomarkers to evaluate tumor invasiveness. LUAD molecular subtypes were identified by unsupervised consistent clustering of LUAD. The differences in prognosis, tumor microenvironment (TME), and mutation were assessed among different subtypes. After that, the invasion-related gene score (IRGS) was constructed by genetic differential analysis, WGCNA analysis, and LASSO analysis, then we evaluated the relationship between IRGS and invasive characteristics, TME, and prognosis. The predictive ability of the IRGS was verified by in vitro experiments. Next, the "oncoPredict" R package and CMap were used to assess the potential value of IRGS in drug therapy. The results showed that LUAD was clustered into two molecular subtypes. And the C1 subtype exhibited a worse prognosis, higher stemness enrichment activity, less immune infiltration, and higher mutation frequency. Subsequently, IRGS developed based on molecular subtypes demonstrated a strong association with malignant characteristics such as invasive features, higher stemness scores, less immune infiltration, and worse survival. In vitro experiments showed that the higher IRGS LUAD cell had a stronger invasive capacity than the lower IRGS LUAD cell. Predictive analysis based on the "oncoPredict" R package showed that the high IRGS group was more sensitive to docetaxel, erlotinib, paclitaxel, and gefitinib. Among them, in vitro experiments verified the greater killing effect of paclitaxel on high IRGS cell lines. In addition, CMap showed that purvalanol-a, angiogenesis-inhibitor, and masitinib have potential therapeutic effects in the high IRGS group. In summary we identified and analyzed the molecular subtypes associated with the invasiveness of LUAD and developed IRGS that can efficiently predict the prognosis and invasive ability of the tumor. IRGS may be able to facilitate the precision treatment of LUAD to some extent.

Resveratrol Enhances Anticancer Effects of Silybin on HepG2 Cells and H22 Tumor-bearing Mice via Inducing G2/M Phase Arrest and Increasing Bax/Bcl-2 Ratio.

BACKGROUND: Silybin, a major flavonoid extracted from the seeds of milk thistle, has a strong hepatoprotective but weak anti-hepatoma activity. Screening another natural ingredient and combining it with silybin is expected to improve the anti-hepatoma efficacy of silybin. OBJECTIVE: The objective of this study was to investigate the synergistic anti-hepatoma effect of resveratrol and silybin on HepG2 cells and H22 tumor-bearing mice in hepatocellular carcinoma (HCC) in vitro and in vivo, respectively. METHODS: Cell viability, scratch wound, clone formation, cell apoptosis, cell cycle, and western blot analysis of HepG2 cells were used to investigate the synergistic effects in vitro of the combination resveratrol with silybin. Growth rates, tumor weights, organ indexes, and histological pathological examination in H22 tumor-bearing mice were used to investigate the synergistic effects in vivo. RESULTS: The combination of resveratrol (50 µg/mL) and silybin (100 µg/mL) significantly suppressed cell viability, whose combination index (CI) was 1.63 (>1.15), indicating the best synergism. The combination exhibited the synergistic effect in blocking the migration and proliferative capacity of HepG2 cells in the measurement in vitro. In particular, resveratrol enhanced the upregulation of Bcl-2 expression and the downregulation of Bax expression with a concurrent increase in the Bax/Bcl-2 ratio. The combination of resveratrol (50 mg/kg) and silybin (100 mg/kg) reduced the tumor weight, inhibited the growth rate, increased the organ indexes, and destroyed the tumor tissue morphology in H22 tumor-bearing mice. CONCLUSION: Resveratrol was found to exhibit synergistic anti-cancer effects with silybin on HepG2 cells and H22 tumor-bearing mice.

RACGAP1 promotes the progression and poor prognosis of lung adenocarcinoma through its effects on the cell cycle and tumor stemness.

OBJECTION: Investigating the key genes and mechanisms that influence stemness in lung adenocarcinoma. METHODS: First, consistent clustering analysis was performed on lung adenocarcinoma patients using stemness scoring to classify them. Subsequently, WGCNA was utilized to identify key modules and hub genes. Then, machine learning methods were employed to screen and identify the key genes within these modules. Lastly, functional analysis of the key genes was conducted through cell scratch assays, colony formation assays, transwell migration assays, flow cytometry cell cycle analysis, and xenograft tumor models. RESULTS: First, two groups of patients with different stemness scores were obtained, where the high stemness score group exhibited poor prognosis and immunotherapy efficacy. Next, LASSO regression analysis and random forest regression were employed to identify genes (PBK, RACGAP1) associated with high stemness scores. RACGAP1 was significantly upregulated in the high stemness score group of lung adenocarcinoma and closely correlated with clinical pathological features, poor overall survival (OS), recurrence-free survival (RFS), and unfavorable prognosis in lung adenocarcinoma patients. Knockdown of RACGAP1 suppressed the migration, proliferation, and tumor growth of cancer cells. CONCLUSION: RACGAP1 not only indicates poor prognosis and limited immunotherapy benefits but also serves as a potential targeted biomarker influencing tumor stemness.

Integrating bulk-RNA sequencing and single-cell sequencing analyses to characterize adenosine-enriched tumor microenvironment landscape and develop an adenosine-related prognostic signature predicting immunotherapy in lung adenocarcinoma.

The adenosine-signaling axis has been recognized as an important immunomodulatory pathway in tumor immunity. However, the biological role of the adenosine-signaling axis in the remodeling of the tumor microenvironment (TME) in lung adenocarcinoma (LUAD) remains unclear. Here, we quantified adenosine signaling (ado_sig) in LUAD samples using the GSVA method and assessed the prognostic value of adenosine in LUAD. Afterward, we explored the heterogeneity of the tumor-immune microenvironment at different adenosine levels. In addition, we analyzed the potential biological pathways engaged by adenosine. Next, we established single-cell transcriptional profiles of LUAD and analyzed cellular composition and cell-cell communication analysis under different adenosine microenvironments. Moreover, we established adenosine-related prognostic signatures (ARS) based on comprehensive bioinformatics analysis and evaluated the efficacy of ARS in predicting immunotherapy. The results demonstrated that adenosine signaling adversely impacted the survival of immune-enriched LUAD. The high-adenosine microenvironment exhibited elevated pro-tumor-immune infiltration, including M2 macrophages and displayed notably increased epithelial-mesenchymal transition (EMT) transformation. Furthermore, adenosine signaling displayed significant associations with the expression patterns and prognostic value of immunomodulators within the TME. Single-cell sequencing data revealed increased fibroblast occupancy and a prominent activation of the SPP1 signaling pathway in the high adenosine-signaling microenvironment. The ARS exhibited promising effectiveness in prognostication and predicting immunotherapy response in LUAD. In summary, overexpression of adenosine can cause a worsened prognosis in the LUAD with abundant immune infiltration. Moreover, increased adenosine levels are associated with pro-tumor-immune infiltration, active EMT transformation, pro-tumor angiogenesis, and other factors promoting cancer progression, which collectively contribute to the formation of an immunosuppressive microenvironment. Importantly, the ARS developed in this study demonstrate high efficacy in evaluating the response to immunotherapy.

Mefloquine improves pulmonary fibrosis by inhibiting the KCNH2/Jak2/Stat3 signaling pathway in macrophages.

Idiopathic pulmonary fibrosis (IPF) is a life-threatening disease characterized by severe pulmonary fibrosis, for which there is an urgent need for effective therapeutic agents. Mefloquine (Mef) is a quinoline compound primarily used for the treatment of malaria. However, high doses (>25 mg/kg) may lead to side effects such as cardiotoxicity and psychiatric disorders. Here, we found that low-dose Mef (5 mg/kg) can safely and effectively treat IPF mice. Functionally, Mef can improve the pulmonary function of IPF mice (PIF, PEF, EF50, VT, MV, PENH), alleviating pulmonary inflammation and fibrosis by inhibiting macrophage activity. Mechanically, Mef probably regulates the Jak2/Stat3 signaling pathway by binding to the 492HIS site of Potassium voltage-gated channel subfamily H member 2 (KCNH2) protein in macrophages, inhibiting the secretion of macrophage inflammatory and fibrotic factors. In summary, Mef may inhibit macrophage activity by binding to KCNH2 protein, thereby slowing down the progress of IPF.

Screening of potential key genes in esophageal cancer based on RBP and expression verification of HENMT1.

To screen key biomarkers of esophageal cancer (ESCA) by bioinformatics and analyze the correlation between key genes and immune infiltration. Expression profile data of ESCA was downloaded from TCGA database, and DEGs in ESCA were screened with R software. After the RNA binding proteins (RBPs) in DEGs were screened, the protein interaction network was constructed using tools such as STRING and Cytoscape and the key genes (HENMT1) were screened. Survival analysis of HENMT1 was performed by Kaplan-Meier method. Functional enrichment analysis of HENMT1 interacting proteins was performed using the DAVID website, and GSEA predicted the signal pathways involved by HENMT1. CIBERSORT algorithm was used to analyze the infiltration of immune cells in ESCA. The expression of HENMT1 in ESCA was detected by immunohistochemistry. A total of 105 RNA binding proteins (RBPs) were differentially expressed in ESCA, and a PPI network was constructed to screen the key gene HENMT1. The expression level of hemmt1 gene was closely related to the infiltration of B cells naive, T cells regulatory (Tregs), neutrophils, T cells CD4 memory activated, master cells resting and dendritic cells resting in ESCA tissues (P < .05). Immunohistochemical results showed that HENMT1 was highly expressed in ESCA tissues and was positively correlated with the expression of MKI67. HENMT1 is related to the occurrence and prognosis of ESCA, and is also related to the infiltration of immune cells in ESCA tissue, which may provide a new idea for the targeted treatment of ESCA.

SPOCK1, as a potential prognostic and therapeutic biomarker for lung adenocarcinoma, is associated with epithelial-mesenchymal transition and immune evasion.

BACKGROUND: The occurrence of epithelial-mesenchymal transition (EMT) and immune evasion is considered to contribute to poor prognosis in lung adenocarcinoma (LUAD). Therefore, this study aims to explore the key oncogenes that promote EMT and immune evasion and reveal the expression patterns, prognostic value, and potential biological functions. METHODS: Firstly, we identified gene modules associated with EMT and Tumor Immune Dysfunction and Exclusion (TIDE) through weighted gene co-expression network analysis (WGCNA). Next, we utilized differential analysis and machine learning to identify the key genes and validate them. Moreover, we analyzed the correlation between key genes and tumor microenvironment remodeling, drug sensitivity, as well as mutation frequency. Furthermore, we explored and validated their malignant biological characteristics through in vitro experiments and clinical samples. Finally, potential drugs for LUAD were screened based on CMap and validated through experiments. RESULTS: Firstly, WGCNA analysis revealed that red and green modules were highly correlated with EMT and TIDE. Among them, upregulated expression of SPOCK1 was observed in lung adenocarcinoma tissues and was associated with poor prognosis. Additionally, patients in the high SPOCK1 group showed more activation of malignant oncogenic pathways, higher infiltration of immunosuppressive components, and a higher frequency of mutations. The knockdown of SPOCK1 suppressed invasion and metastasis capabilities of lung adenocarcinoma cells, and the high expression of SPOCK1 was associated with low infiltration of CD8+ T cells. Therapeutic aspects, SPOCK1 can be a candidate indicator for drug sensitivity and CMap showed that VER-155008 was the drug candidate with the largest perturbation effect on the SPOCK1 expression profile. In vitro and in vivo experiments validated the cancer-inhibitory effect of VER-155008 in LUAD. CONCLUSION: This study revealed through comprehensive bioinformatics analysis and experimental analysis that SPOCK1 can promote EMT and immune escape in LUAD, and it may serve as a promising candidate prognostic biomarker and therapeutic target for LUAD.

CD4 levels and NSCLC metastasis: the benefits of maintaining moderate levels.

OBJECTIVES: Prior researches indicate that peripheral blood CD4 levels have an inverse correlation with distant tumor metastasis in non-small cell lung cancer (NSCLC). However, the linear relationship between CD4 and distant metastasis lacks clarity. Hence, the objective of this study was to ascertain the linear relationship between CD4 and distant metastasis in NSCLC patients. METHODS: This retrospective study analyzed clinical and laboratory data of NSCLC patients between March 2016 and July 2022 at the Cancer Hospital of Anhui University of Technology. The study first applied a generalized summation model and smoothing curve fitting to determine if there was a linear relationship between CD4 and NSCLC metastasis. Secondarily, univariate logistic analysis and multiple linear regression were used to analyze the odds ratio (OR) of CD4 as a continuous variable, dichotomous variable, and trichotomous variable when predicting NSCLC metastasis. In addition, stratified and subgroup analyses were conducted to assess the reliability of CD4 in different NSCLC patient populations. RESULTS: The study included a total of 213 NSCLC patients, among which 122 had distant metastasis and 91 had no metastasis. The smoothing curve fitting analysis revealed a U-shaped relationship between CD4 and NSCLC metastasis with a threshold effect. The univariate logistic analysis indicated that continuous CD4 expression was not significantly associated with NSCLC metastasis (P = 0.051); however, high levels of CD4 expression (≥ 35.06%) were found to be a protective factor against NSCLC metastasis when CD4+ T was a dichotomous variable (OR = 0.49, P = 0.010). Furthermore, multivariate linear regression models showed that low (< 32%) or high levels (> 44%) of CD4 significantly increased the risk of NSCLC metastasis compared to medium levels (32-44%) when CD4+ T was trichotomized. The significance was maintained in stratified analysis in relation to age, sex, type of pathology, smoke, PS, and T stage. CD4 levels were U-shaped in relation to different sites of distant metastases (bone, brain, liver), but not with lung metastases. CONCLUSIONS: A threshold effect is shown to exist between the peripheral blood CD4 and distant metastasis in NSCLC patients. It was revealed that the risk of distant metastasis is lower when CD4 is maintained between 32 and 44%, whereas low (< 32%) or high (> 44) levels of CD4 are associated with an increased risk of distant metastasis in NSCLC patients.

A2aR on lung adenocarcinoma cells: A novel target for cancer therapy via recruiting and regulating tumor-associated macrophages.

Adenosine 2a receptor (A2aR), a typical GPCR with a high affinity for adenosine, is widely expressed on immune cells, inhibiting anti-tumor immune response accordingly. Here, we identify that A2aR is specifically expressed on tumor cells from lung adenocarcinoma (LUAD) patients, closely related to their prognosis and positively correlated with tumor-associated macrophages (TAMs) infiltration. We hypothesize that blocking A2aR on LUAD cells will inhibit the role of TAMs and control tumor growth. Constructing models of TAMs and LUAD mice, we find that A2aR highly expressed on LUAD cells promotes the secretion of chemokines and polarizing factors through activating PI3K/AKT/NF-κB pathway, thereby promoting the migration and invasion of TAMs. Functionally, blocking A2aR significantly suppresses TAMs infiltration and attenuates tumor burden in LUAD mice. Notably, the M2 polarization of TAMs can also be prevented by inhibiting A2aR in vitro. Together, our studies demonstrate that A2aR on LUAD cells drives TAMs migration and polarization, and blockade of A2aR may support a novel and potent therapeutic option for LUAD.

The Effects of Respiratory Training Combined with Limb Exercise on Pulmonary Function and Quality of Life in Patients with Bronchiectasis.

Objective: To investigate the effects of respiratory rehabilitation training combined with limb rehabilitation on sputum clearance and quality of life in patients with bronchiectasis. Methods: A retrospective analysis of 86 patients with bronchiectasis was divided into an intervention group and an observation group, with 43 cases in each group. All patients were above 18 years of age with no history of relevant drug allergies. Patients in the observation group were treated with conventional drugs, and those in the intervention group were given respiratory rehabilitation training and limb rehabilitation on this basis. After three months of treatment, the indexes of sputum discharge, sputum traits, lung function, and the 6-minute walk distance (6MWD) were compared and quality of life and survival skills were assessed using the Barthel index and a quality-of-life comprehensive assessment questionnaire (GQOLI-74). Results: The percentage of patients with mild Barthel index in the intervention group was higher than that in the observation group, and the difference between the groups was statistically significant (P < 0.05). After treatment, the scores of life quality and the lung function in the intervention group were higher than those in the observation group (both P < 0.05). After three months of treatment, the sputum volume and sputum viscosity scores of the two groups were higher than those before treatment (P < 0.05). Conclusion: Respiratory rehabilitation training with limb exercise rehabilitation can effectively improve the sputum clearance rate, lung function, and quality of life of patients with bronchiectasis and is thus worthy of clinical promotion and application.

Long-Term Immunogenicity and In Vitro Prophylactic Protective Efficacy of M. tuberculosis Fusion Protein DR2 Combined with Liposomal Adjuvant DIMQ as a Boosting Vaccine for BCG.

The resuscitation of dormant Mycobacterium tuberculosis is an important cause of adult tuberculosis (TB) transmission. According to the interaction mechanism between M. tuberculosis and the host, the latency antigen Rv0572c and region of difference 9 (RD9) antigen Rv3621c were selected in this study to prepare the fusion protein DR2. Stimulating clinically diagnosed active tuberculosis infections (i.e., TB patients), latent tuberculosis infections, and healthy controls confirmed that T lymphocytes could recognize DR2 protein in the peripheral blood of TB-infected individuals more than subcomponent protein. The DR2 protein was then emulsified in the liposome adjuvant dimethyl dioctadecyl ammonium bromide, and imiquimod (DIMQ) was administered to C57BL/6 mice immunized with Bacillus Calmette-Guérin (BCG) vaccine to evaluate their immunogenicity. Studies have shown that DR2/DIMQ, a booster vaccine for BCG primary immunization, can elicit robust CD4+ Th1 cell immune response and predominant IFN-γ+ CD4+ effector memory T cells (TEM) subsets. Furthermore, the serum antibody level and the expression of related cytokines increased significantly with the extension of immunization time, with IL2+, CD4+, or CD8+ central memory T cells (TCM) subsets predominant in the long term. This immunization strategy showed matched prophylactic protective efficacy by performing in vitro challenge experiment. This result provides robust evidence that the novel subunit vaccine prepared by fusion protein DR2 combined with liposomal adjuvant DIMQ is a promising TB vaccine candidate for further preclinical trials as a booster vaccine for BCG.

[Bioinformatic analysis of prognostic metabolism-related genes in lung adenocarcinoma].

Objective To construct and validate a prognostic model for lung adenocarcinoma based on bioinformatics of metabolic genes. Methods Lung adenocarcinoma-related data from The Cancer Genome Atlas (TCGA) database and gene expression omnibus (GEO) were acquired, and LASSO regression was used to construct multi-gene prognostic models and calculate risk-score (RS). Univariate and multivariate Cox independent prognostic analysis was performed. The area under receiver operating characteristic (ROC) curve (AUC) of the model was evaluated by ROC curve and survival analysis was performed. Nomogram were constructed to evaluate the feasibility of the model, and metabolic gene functional enrichment analysis was performed by GSEA. Tumor immune estimation resource (TIMER) database was used to analyze the correlation of patients RS with immune cell infiltration and with the expression of immune checkpoint molecules. Results The TCGA database was used to construct a prognostic model for lung adenocarcinoma based on 18 metabolism-related genes, and RS was used as an independent prognostic factor. The area under the ROC curve was 0.713. Survival analysis showed that overall survival was higher in the low-risk group compared to the high-risk group, and the prognostic model was associated with infiltration of immune cells and with the expression of immune checkpoint molecules. Conclusion RS is an independent prognostic factor in the prognostic model of lung adenocarcinoma with metabolic genes, suggesting a high prognostic value of this model.

Construction and Validation of a Novel Immune-Related Gene Pairs-Based Prognostic Model in Lung Adenocarcinoma.

OBJECT: Focus on immune-related gene pairs (IRGPs) and develop a prognostic model to predict the prognosis of patients with lung adenocarcinoma (LUAD). METHODS: First, the LUAD patient dataset was downloaded from The Cancer Genome Atlas database, and paired analysis of immune-related genes was subsequently conducted. Then, LASSO regression was used to screen prognostic IRGPs for building a risk prediction model. Meanwhile, the Gene Expression Omnibus database was used for external validation of the model. Next, the clinical predictive power of IRGPs features was assessed by uni-multivariate Cox regression analysis, the infiltration of key immune cells in high and low IRGPs risk groups was analyzed with CIBERSORT, quanTIseq, and Timer, and the key pathways enriched for IRGPs were assessed using the Kyoto Encyclopedia of Genes and Genomes. Finally, the expression and related functions of key immune cells and genes were verified by immunofluorescence and cell experiments of tissue samples. RESULTS: It was revealed that the risk score of 19 IRGPs could be used as accurate indicators to evaluate the prognosis of LUAD patients, and the risk score was mainly related to T cell infiltration based on CIBERSORT analysis. Two genes of IRGPs, IL6, and CCL2, were found to be closely associated with the expression of PD-1/PD-L1 and the function of T-cells. Depending on the results of tissue immunofluorescence, IL6, CCL2, and T cells were highly expressed in the LUAD tissues of patients. Furthermore, IL6 and CCL2 were positively correlated with the expression of T cells. Besides, qRT-PCR assay in four different LUAD cells proved that IL6 and CCL2 were positively correlated with the expression of PD-L1 (P < .001). CONCLUSIONS: Based on 19 IRGPs, an effective prognosis model was established to predict the prognosis of LUAD patients. In addition, IL6 and CCL2 are closely related to the function of T-cells.

Long-Term Exposure to Dust and Noise Can Increase the Risk of Hypertension-A Population Based, Cross-sectional Study.

OBJECTIVE: The aim of the study is to assess whether occupational groups exposed to dust and noise increase their risk of developing hypertension and to identify associated risk factors. METHODS: Logistic regression analysis was used to analyze the influence of exposure factors on the occurrence of hypertension, and confounding factors were adjusted to identify independent effects. Stratified analysis and smoothed curve fitting were used to explore the effects in different populations. RESULTS: Combined dust + noise exposure significantly increased the risk of hypertension in workers (model 1: odds ratio [OR], 2.75; model 2: OR, 2.66; model 3: OR, 2.85). Further analysis showed that when exposed to dust and noise for more than 17 years, the risk of hypertension increased by 15%. CONCLUSIONS: The combined exposure of dust and noise significantly increases the risk of hypertension among occupational groups, especially among workers who have worked for more than 17 years.

Surgical Treatment is Still Recommended for Patients Over 75 Years with IA NSCLC: A Predictive Model Based on Surveillance, Epidemiology and End Results Database.

BACKGROUND: To determine the populations who suitable for surgical treatment in elderly patients (age ≥ 75 y) with IA stage. METHODS: The clinical data of NSCLC patients diagnosed from 2010 to 2015 were collected from the SEER database and divided into surgery group (SG) and no-surgery groups (NSG). The confounders were balanced and differences in survival were compared between groups using PSM (Propensity score matching, PSM). Cox regression analysis was used to screen the independent factors that affect the Cancer-specific survival (CSS). The surgery group was defined as the patients who surgery-benefit and surgery-no benefit according to the median CSS of the no-surgery group, and then randomly divided into training and validation groups. A surgical benefit prediction model was constructed in the training and validation group. Finally, the model is evaluated using a variety of methods. RESULTS: A total of 7297 patients were included. Before PSM (SG: n = 3630; NSG: n = 3665) and after PSM (SG: n = 1725, NSG: n = 1725) confirmed that the CSS of the surgery group was longer than the no-surgery group (before PSM: 82 vs. 31 months, P < .0001; after PSM: 55 vs. 39 months, P < .0001). Independent prognostic factors included age, gender, race, marrital, tumor grade, histology, and surgery. In the surgery cohort after PSM, 1005 patients (58.27%) who survived for more than 39 months were defined as surgery beneficiaries, and the 720 patients (41.73%) were defined surgery-no beneficiaries. The surgery group was divided into training group 1207 (70%) and validation group 518 (30%). Independent prognostic factors were used to construct a prediction model. In training group (AUC = .678) and validation group (AUC = .622). Calibration curve and decision curve prove that the model has better performance. CONCLUSIONS: This predictive model can well identify elderly patients with stage IA NSCLC who would benefit from surgery, thus providing a basis for clinical treatment decisions.

Relationship between lymphocyte to monocyte ratio and brain metastasis in non-smalll cell lung cancer patients.

OBJECTIVE: To observe whether there is an association between the lymphocyte/monocyte ratio (LMR) and the occurrence of brain metastases in non-small cell lung cancer (BM-NSCLC) patients. METHOD: Retrospective collection of patients' information meeting the standards of nano-excretion, was done from January 2016 to September 2021. We calculated the odds ratio (OR) and 95% confidence interval (CI) of LMR versus BM-NSCLC using multivariate logistic regression, and stratified analysis was performed. The linear or nonlinear relationships that exist between the two were explored by generalized additive model and smoothed curve fitting. RESULTS: In all three models, LMR was negatively associated with BM-NSCLC (Model 1: OR, 0.72; 95% CI, 0.57-0.9; P=0.0037. Model 2: OR, 0.64; 95% CI, 0.50-0.82; P=0.0005. Model 3: OR, 0.62; 95% CI, 0.47-0.81; P=0.0005). This negative association was shown to be significant in patients with adenocarcinoma (ADC), who were, female, and in T2-T4 stages, and N1-N3 stages (ADC: OR, 0.59; 95% CI, 0.44-0.80; P=0.0006. female: OR, 0.37; 95% CI, 0.20-0.68; P=0.0013. T2-T4: OR, 0.59; 95% CI, 0.43-0.82; P=0.0014; N1-N3: OR, 0.62; 95% CI, 0.45-0.86; P=0.0042), according to subgroup analysis. CONCLUSION: After controlling for relevant confounders, this study demonstrated that increased LMR levels in NSCLC patients were substantially and inversely connected to their likelihood of BM, particularly in patients with ADC, who were female, or had T2-T4, and N1-N3 stages.

Use of DosR and Rpf antigens from Mycobacterium tuberculosis to screen for latent and relapse tuberculosis infection in a tuberculosis endemic community of Huainan City.

The dormancy survival regulator (DosR) antigens upgraded during latency and resuscitation-promoting factors (Rpfs) expressed over the reactivation from dormant Mycobacterium tuberculosis (M. tuberculosis) could be used to diagnose tuberculosis (TB) at different stages. We performed a retrospective cohort study based on four groups, including healthy controls (HCs), active tuberculosis infections (ATBs), latent tuberculosis infections (LTBIs), and relapse tuberculosis infections (RTBs) enrolled between November 2020 and June 2021. Compared to the fusion protein E6-C10, combined with early secreted antigenic target 6 kDa (ESAT-6) and culture filtrate of 10 kDa (CFP-10), the DosR- or Rpf-encoded antigens could not elicit significant IFN-γ concentration for the diagnosis of ATB. Of note, the DosR antigens produce significantly more antigen-specific IFN-γ in LTBIs than Rpfs, and the levels of antigen-specific IFN-γ elicited in RTBs stimulated by Rpfs were higher than the DosR antigens. Among the DosR antigens, Rv2003c was the most immunogenic in diagnosing LTBIs, followed by Rv2007c and Rv2005c. As far as Rpfs are concerned, Rv0867c was the best antigen to identify RTBs, followed by Rv2389c and Rv1009. Both Rv2450c and Rv1884c showed relatively limited IFN-γ concentration in RTBs. Besides, the selected DosR antigens and Rpfs showed ideal specificity and inadequate sensitivity, which could have been enhanced by the fusion antigens prepared by the DosR antigens or Rpfs, respectively. The results of this study can provide more accurate detection methods for LTBIs and RTBs and could be used for screening the dormant M. tuberculosis throughout reactivation.

[Artesunate upregulates the expression of CD39, CD279 and granzyme B in CD4+ and CD8+ T lymphocytes of patients with lung cancer].

Objective To investigate the effect of artesunate (ART) on T lymphocyte immune function in patients with lung cancer. Methods Fifteen healthy people (NC group) and twenty-one lung cancer patients (LC group) were randomly selected to collect their clinical information and isolate peripheral blood mononuclear cells (PBMCs). After 24 hour-treatment of PBMCs with ART, the median lethal concentration (LC50) and the optimal concentration of ART induced high expression of CD39 and CD279 in T cell membrane were determined by flow cytometry (FCM). Following the induction of ART with the best concentration, the expression levels of CD39 and CD279 on CD8+ and CD4+ T cells in NC group, and the expression levels of CD39, CD279, CD38, CD28, granzyme B (GrzB), perforin (PerF), interferon γ(IFN-γ) and interleukin-2 (IL-2) on CD8+ and CD4+ T cells in LC group were detected by FCM. Results LC50 and optimal concentration of ART were 522 µmol/L and 200 µmol/L, respectively. Compared with the NC group, the baseline expression levels of CD279 on CD8+ and CD4+ T cells in LC group was significantly higher. Moreover, the expression levels of CD39 increased significantly after inducing 200 µmol/L ART, in the CD8+ and CD4+ T cell of NC groups; In CD8+ and CD4+ T cells of LC group, the expression of CD39, CD279 and GrzB increased significantly, while that of IL-2 decreased markedly. No significant difference was detected in the expression levels of CD38, CD28, IFN-γ and PerF. The clinical factors that promote the expression of CD39 on CD8+ T cells induced by ART showed no radiotherapy. The clinical factors that promote the expression of CD279 on CD8+ T cells induced by ART include age>60 years old, lymphocyte count>1.26×109/L, NLR<5, radiotherapy, 0.29×109/L ≤monocyte count ≤0.95×109/L. Conclusion The expression of CD279 on T lymphocytes is higher in lung cancer patients; ART induces the upregulation of CD8+ and CD4+T cells CD39, CD279 and GrzB in lung cancer patients, thus regulating the immune function of T cell subsets.