Objective To analyze the monitoring status of occupational hazard factors in key industry workplaces in a city of the Pearl River Delta area from 2019 to 2023. Methods A total of 1 548 enterprises in 12 key industries of the city were selected as the research subjects using the judgmental sampling method. Their monitoring data for dust, chemical factors, and noise, along with the occupational health management status of the enterprises were analyzed. Results Among the 1 548 enterprises, large and medium-sized enterprises accounted for 2.7% and 13.4%, while small and micro enterprises accounted for 83.9%. A total of 474 enterprises exceeded the national limit in the detection of occupational hazard factors, with an exceedance rate of 30.6%. The rates of workers exposed to occupational hazard factors, dust, chemical factors, and noise were 29.4%, 6.9%, 21.0%, and 13.0%, respectively, all showing a downward trend year by year (all P<0.05). The training rates for occupational health among enterprise managers, responsible persons, and workers were 84.1%, 84.2%, and 91.2%, respectively. The detection rates for abnormal occupational health examinations among workers exposed to dust, chemical factors, and noise were 0.2%, 0.3%, and 0.5%, respectively. The setting rates of warning signs and warning instructions among enterprises for dust, chemical toxins, and noise were 87.3%, 91.1%, and 89.5%, respectively. The setting rates for dust, toxic chemical, and noise control facilities were 72.4%, 75.4%, and 46.0%, with effectiveness rates of 70.5%, 56.6%, and 55.2%, respectively. The distribution rates of personal protective dust masks, gas masks, and noise earplugs/earmuffs were 91.9%, 83.8%, and 86.4%, with wearing rates of 80.8%, 70.5%, and 76.4%, respectively. The detection rates of exceeding national limits for dust, chemical factors, and noise in the work site of occupational hazard factors were15.2%, 1.0%, and 21.6%, respectively. The detection rates of exceeding national limits for dust, chemical factors, and noise in the workplace of occupational hazard factors were 2.4%, 2.5%, and 12.3%, respectively. The exceedance rate for noise in work site showed an upward trend year by year (P<0.01). Conclusion Occupational disease prevention and control work in the key industries of this city needs strengthening. It is essential to further enhance the regular monitoring and preventive measures of occupational hazard factors in enterprises, improve protective measures, strengthen the use of personal protective equipment, and enhance occupational health training and supervision, to effectively reduce the risk of occupational diseases and protect workers' occupational health rights.

Objective:To investigate the risk factors and prognostic value of the textbook outcome (TO) in patients with advanced gastric cancer (AGC) who underwent neoadjuvant chemotherapy followed by surgical resection.Methods:This is a retrospective cohort study. A total of 253 patients with AGC who underwent neoadjuvant chemotherapy combined with gastrectomy and D2 lymphadenectomy in the Department of Gastric Surgery, Fujian Medical University Union Hospital from January 2010 to December 2019 were retrospectively included. There were 195 males and 58 females, aged (60.3±10.0) years (range: 27 to 75 years). The patients were then divided into the TO group ( n=168) and the non-TO group ( n=85). Multivariate Logistic regression was used to analyze the independent predictors of TO. Univariate and multivariate Cox analysis were used to analyze independent prognosis factors for overall survival (OS) and disease-free survival (DFS). Propensity score matching was performed to balance the TO and non-TO groups, and the Kaplan-Meier method was used to calculate survival rates and draw survival curves. Results:Among the 253 patients, 168 patients (66.4%) achieved TO. The Eastern Cooperative Oncology Group score ( OR=0.488, 95% CI: 0.278 to 0.856, P=0.012) and ypN stage ( OR=0.626, 95% CI:0.488 to 0.805, P<0.01) were independently predictive of TO. Multivariate analysis revealed that TO was an independent risk factor for both OS ( HR=0.662, 95% CI: 0.457 to 0.959, P=0.029) and DFS ( HR=0.687, 95% CI: 0.483 to 0.976, P=0.036). After matching, the 5-year OS rate (42.2% vs. 27.8%) and the 5-year DFS rate (37.5% vs. 27.8%) were significantly higher in the TO group than in the non-TO group (both P<0.05). Furthermore, patients in the non-TO group benefited significantly from postoperative chemotherapy (both P<0.05), but those in the TO group did not (both P>0.05). Conclusion:TO is an independent prognosis factor in patients undergoing neoadjuvant chemotherapy and surgery for AGC and is associated with postoperative chemotherapy benefits.

Objective:To elucidate the etiological and epidemiological characteristics and epidemiological patterns of viral acute respiratory infections (ARI) in Shanghai during 2023, with the aim of providing robust laboratory evidence for effective prevention and control strategies against related respiratory diseases and facilitating risk assessment.Methods:Respiratory pathogens were detected in the clinical surveillance specimens submitted by sentinel hospitals through multiplex PCR, as part of the multi-pathogen surveillance of acute respiratory infections in Shanghai during 2023. The obtained detection result were statistically analyzed in conjunction with sample information.Results:The positive detection rate of viral pathogens in 2023 was 21.17% (984/4 648), with rates of 33.53% (504/1 503) observed in ILI cases and 15.62% (480/3 145) in SARI cases. Influenza A virus (FluA) was the predominant virus detected, accounting for 13.7% (637/4 648). Other viruses identified in the surveillance samples included influenza B virus (Flu B), human rhinovirus/enterovirus (HRV/HEV), respiratory syncytial virus (RSV), human metapneumovirus (HMPV), parainfluenza virus (PIV), adenovirus (ADV) and human bocavirus (HBoV). Regarding temporal distribution, HRV/HEV and RSV exhibited the highest detection rates during the second quarter at 2.27% each (28/1 236). PIV had its peak during the third quarter at a rate of 2.49% (35/1 405), and HMPV showed prevalence mainly during the third and fourth quarters, with detection rates of 2.63% (37/1 405) and 2.35% (32/1 360), respectively.Conclusions:In acute respiratory infection surveillance cases in Shanghai in 2023, Flu A emerged as the predominant respiratory pathogen. The detection rate of HMPV ranked second only to Flu A, while other respiratory viruses such as HRV/HEV, RSV, and PIV were detected during different seasons and co-circulated. The prevalence of various respiratory viruses varied among different infected populations and over times.

Objective:To investigate the risk factors and prognostic value of the textbook outcome (TO) in patients with advanced gastric cancer (AGC) who underwent neoadjuvant chemotherapy followed by surgical resection.Methods:This is a retrospective cohort study. A total of 253 patients with AGC who underwent neoadjuvant chemotherapy combined with gastrectomy and D2 lymphadenectomy in the Department of Gastric Surgery, Fujian Medical University Union Hospital from January 2010 to December 2019 were retrospectively included. There were 195 males and 58 females, aged (60.3±10.0) years (range: 27 to 75 years). The patients were then divided into the TO group ( n=168) and the non-TO group ( n=85). Multivariate Logistic regression was used to analyze the independent predictors of TO. Univariate and multivariate Cox analysis were used to analyze independent prognosis factors for overall survival (OS) and disease-free survival (DFS). Propensity score matching was performed to balance the TO and non-TO groups, and the Kaplan-Meier method was used to calculate survival rates and draw survival curves. Results:Among the 253 patients, 168 patients (66.4%) achieved TO. The Eastern Cooperative Oncology Group score ( OR=0.488, 95% CI: 0.278 to 0.856, P=0.012) and ypN stage ( OR=0.626, 95% CI:0.488 to 0.805, P<0.01) were independently predictive of TO. Multivariate analysis revealed that TO was an independent risk factor for both OS ( HR=0.662, 95% CI: 0.457 to 0.959, P=0.029) and DFS ( HR=0.687, 95% CI: 0.483 to 0.976, P=0.036). After matching, the 5-year OS rate (42.2% vs. 27.8%) and the 5-year DFS rate (37.5% vs. 27.8%) were significantly higher in the TO group than in the non-TO group (both P<0.05). Furthermore, patients in the non-TO group benefited significantly from postoperative chemotherapy (both P<0.05), but those in the TO group did not (both P>0.05). Conclusion:TO is an independent prognosis factor in patients undergoing neoadjuvant chemotherapy and surgery for AGC and is associated with postoperative chemotherapy benefits.

[Objective]To summarize Professor CHAI Kequn's clinical experience in the treatment of breast cancer based on his theory of four principles and four laws of TCM prevention and treatment of cancer.[Methods]Professor CHAI Kequn's understanding of breast cancer was analyzed through medical records,and his clinical experience in treating breast cancer with the theory of four principles and four laws was expounded and vertified by clinical medical records.[Results]Professor CHAI Kequn belives that breast cancer is related to liver,spleen,kidney and Yin cold toxic evil,with liver Qi stagnation as the main pathogenesis,so it is paticularly important to soothe liver and eliminate depression and regulate spirit throughout the whole process,and put foward the treatment method of"speech therapy".Professor CHAI Kequn uses the four principles of Fuzheng as the foundation,limited dispelling evil,the whole process of regulating the spirit and treatment based on syndromes,and the four laws of strengthening spleen and kidney,resolving phlegm and detoxification,soothing liver and resolving stagnation and warming Yang to conduct channels for syndrome differentiation and treatment.Under the guidance of the four printiples,soothing liver and resolving stagnation was used as treatment method,and combined with the treatment of strengthening spleen and kidney,resolving phlegm and detoxification,the clinical effect was remarkable.[Conclusion]By expounding the connotation of the four principles and the four laws and their application in clinical diagnosis of breast cancer,it is concluded that Professor CHAI Kequn's treatment of breast cancer focuses on soothing liver and elimanating depression,and increases or decreases the srugs according to the changes of the syndromes,which has guiding significance for the clinical treatment of breast cancer.

Objective:To establish Wistar rat models of acute radiation esophagitis, and observe the histopathological changes at different time points after modeling.Methods:Wistar rats were locally irradiated with different doses of 6 MV X-rays, and the rats were sacrificed on the 3 rd, 5 th, 7 th, and 14 th days after irradiation. The full-length esophagus tissue was taken for paraffin embedding, sectioning, and hematoxylin and eosin (HE) staining for pathological assessment. The pathological changes of the esophagus of the rats were observed at the 3 rd, 5 th, 7 th, and 14 th days after 25 Gy and 30 Gy irradiation. The changes of daily dietary intake of rats in different irradiation groups within 1-2 weeks after radiation exposure were observed. Results:No rat died in two groups after being irradiated with 25 Gy and 30 Gy rays. All the rats in the 30 Gy group had esophagus injury. On the 7 th day, the degree of injury was the most serious, with a pathological score of 5.00±0.75 and a food intake of 0 g. On the 14 th day, the degree of injury was relieved, and the food intake was restored to the level before irradiation. Conclusions:The Wistar rat model of acute radiation esophagitis can be established by a single dose of 6 MV X-ray 30 Gy irradiation to the esophagus. The 7 th day after irradiation is an ideal observation time for the acute injury phase, which is gradually alleviated after the 7 th day. The time can be chosen from 7-14 days after irradiation as the observation point for the healing repair phase.

Objectives:To construct a nomogram prediction model using common preoperative indicators for early weight loss (EWL) 1 year after laparoscopic sleeve gastrectomy (LSG).Methods:Relevant data of obese patients who had undergone LSG from January 2015 to May 2022 in Fujian Medical University Union Hospital and Quanzhou First Hospital Affiliated Fujian Medical University were analyzed. Patients with a history of major abdominal surgery, severe gastroesophageal reflux disease, pregnancy within 1 year after surgery, or who were lost to follow-up were excluded, resulting in a total of 200 patients in the study (190 from Fujian Medical University Union Hospital and 10 from Quanzhou First Hospital Affiliated Fujian Medical University). The participants were 51 men and 149 women of a mean age 29.9±8.2 years and a body mass index (BMI) 38.7±6.5 kg/m 2. All patients in this group underwent standardized LSG procedure. Achieving ideal weight (BMI≤25 kg/m 2) 1 year after LSG was defined as goal of EWL. Logistic regression analyses were performed to identify factors that independently influenced EWL. These factors were incorporated into the nomogram model. Receiver operating characteristic (ROC) curves (the larger the area under the curve [AUC], the better the predictive ability and accuracy of the model), likelihood ratio test (higher likelihood ratio indicates greater model homogeneity), decision curve analysis (higher net benefit indicates a better model), Akaike information criterion (AIC; smaller AIC indicates a better model), and Bayesian information criterion (BIC; smaller BIC indicates a better model) were used to validate the predictive ability of the column line diagram model. Results:In this study of 200 obese patients who underwent LSG surgery, 136 achieved EWL goal, whereas the remaining 64 did not. The rate of EWL goal achievement of the entire group was 68.0%. Compared with patients who did not achieve EWL goal, those who did had lower BMI, alanine transaminase, aspartate transaminase, triglycerides, and higher cholesterol. Additionally, the proportion of female was higher and the proportions of patients with fatty liver and hypertension lower in those who achieved EWL goal (all P<0.05). Univariate and multivariate logistic regression analysis revealed that preoperative BMI (OR=0.852, 95%CI: 0.796-0.912, P<0.001), alanine transaminase (OR=0.992, 95%CI: 0.985-0.999, P=0.024), presence of fatty liver (OR=0.185, 95%CI: 0.038-0.887, P=0.035) and hypertension (OR=0.374, 95%CI: 0.144-0.969, P=0.043) were independently associated with failure to achieve EWL goal. Cholesterol (OR=1.428, 95%CI: 1.052-1.939, P=0.022) was independently associated with achieving EWL goal. We used the above variables to establish an EWL nomogram model. ROC analysis, the likelihood ratio test, decision curve analysis, and AIC all revealed that the predictive value of the model was better than that of BMI alone (nomogram model vs. BMI: area under the curve 0.840 vs. 0.798, P=0.047; likelihood ratio: 58.785 vs. 36.565, AIC: 193.066 vs. 207.063, BIC: 212.856 vs. 213.660). Conclusion:Our predictive model is more accurate in predicting EWL after LSG compared with using BMI.

Objectives:To construct a nomogram prediction model using common preoperative indicators for early weight loss (EWL) 1 year after laparoscopic sleeve gastrectomy (LSG).Methods:Relevant data of obese patients who had undergone LSG from January 2015 to May 2022 in Fujian Medical University Union Hospital and Quanzhou First Hospital Affiliated Fujian Medical University were analyzed. Patients with a history of major abdominal surgery, severe gastroesophageal reflux disease, pregnancy within 1 year after surgery, or who were lost to follow-up were excluded, resulting in a total of 200 patients in the study (190 from Fujian Medical University Union Hospital and 10 from Quanzhou First Hospital Affiliated Fujian Medical University). The participants were 51 men and 149 women of a mean age 29.9±8.2 years and a body mass index (BMI) 38.7±6.5 kg/m 2. All patients in this group underwent standardized LSG procedure. Achieving ideal weight (BMI≤25 kg/m 2) 1 year after LSG was defined as goal of EWL. Logistic regression analyses were performed to identify factors that independently influenced EWL. These factors were incorporated into the nomogram model. Receiver operating characteristic (ROC) curves (the larger the area under the curve [AUC], the better the predictive ability and accuracy of the model), likelihood ratio test (higher likelihood ratio indicates greater model homogeneity), decision curve analysis (higher net benefit indicates a better model), Akaike information criterion (AIC; smaller AIC indicates a better model), and Bayesian information criterion (BIC; smaller BIC indicates a better model) were used to validate the predictive ability of the column line diagram model. Results:In this study of 200 obese patients who underwent LSG surgery, 136 achieved EWL goal, whereas the remaining 64 did not. The rate of EWL goal achievement of the entire group was 68.0%. Compared with patients who did not achieve EWL goal, those who did had lower BMI, alanine transaminase, aspartate transaminase, triglycerides, and higher cholesterol. Additionally, the proportion of female was higher and the proportions of patients with fatty liver and hypertension lower in those who achieved EWL goal (all P<0.05). Univariate and multivariate logistic regression analysis revealed that preoperative BMI (OR=0.852, 95%CI: 0.796-0.912, P<0.001), alanine transaminase (OR=0.992, 95%CI: 0.985-0.999, P=0.024), presence of fatty liver (OR=0.185, 95%CI: 0.038-0.887, P=0.035) and hypertension (OR=0.374, 95%CI: 0.144-0.969, P=0.043) were independently associated with failure to achieve EWL goal. Cholesterol (OR=1.428, 95%CI: 1.052-1.939, P=0.022) was independently associated with achieving EWL goal. We used the above variables to establish an EWL nomogram model. ROC analysis, the likelihood ratio test, decision curve analysis, and AIC all revealed that the predictive value of the model was better than that of BMI alone (nomogram model vs. BMI: area under the curve 0.840 vs. 0.798, P=0.047; likelihood ratio: 58.785 vs. 36.565, AIC: 193.066 vs. 207.063, BIC: 212.856 vs. 213.660). Conclusion:Our predictive model is more accurate in predicting EWL after LSG compared with using BMI.

Objective:To investigate the influencing factors of operation time for laparos-copic sleeve gastrectomy (LSG) and analyze the learning curve of LSG in sarcopenic obesity (SO) and non-sarcopenic obesity (NSO).Methods:The retrospective cohort study was conducted. The clinical data of 240 obesity patients who underwent LSG in the Fujian Medical University Union Hospital from January 2018 to June 2022 were collected. There were 52 males and 188 females, aged (30±8)years. Patients underwent L3 vertebral body horizontal axial computer tomography (CT) scanning before and after receiving LSG to accurately segment muscles and fats. Observation indicators: (1) treatment and follow-up; (2) influencing factors of operation time for LSG; (3) cumulative sum (CUSUM) of learning curve; (4) comparison of clinical data between patients in the initial and profi-cient stages. Measurement data with normal distribution were represent as Mean± SD, and comparison between groups was conducted using the t test. Measurement data with skewed distribution were represented as M(IQR), and comparison between groups was conducted using the non-parameter test. Count data were described as absolute numbers, and comparison between groups was conducted using the chi-square test. Univariate and multivariate analyses were conducted using the Logistic regression model. The CUSUM of learning curve was calculated and the fitting process was conducted on scatter plot of learning curves. Results:(1) Treatment and follow-up. Of the 240 patients, there were 97 cases of SO and 143 cases of NSO. All 240 patients underwent LSG successfully, without conversion to open surgery. The operation time of 240 patients was (108±23)minutes. None of patient died during the perioperative period and all patients underwent follow-up during the postoperative 6 months. (2) Influencing factors of operation time for LSG. Results of multivariate analysis showed that SO was an independent factor influencing operation time for LSG ( odds ratio=2.207, 95% confidence interval as 1.207-4.038, P<0.05). (3) CUSUM of learning curve. Results of CUSUM of operation time in patients of SO and NSO showed that the best fit equation of patients of SO was y=-4E-08x 6+1E-05x 5-0.001 1x 4+0.063 1x 3-1.89x 2+28.126x-48.671 (x means the number of surgical cases), with goodness-of-fit R 2 as 0.833, and the best fit equation of patients of NSO was y=3E-09x 6-1E-06x 5+0.000 2x 4-0.010 9x 3+0.063 8x 2+12.053x-65.025 (x means the number of surgical cases), with goodness-of-fit R 2 as 0.716. Based on the trend of CUSUM of learning curve of operation time, the peak value of number of surgical cases in patients of SO and NSO was 81 and 36, respec-tively, which was used to divide the learning curve as two stages of the initial stage and the proficient stage. (4) Comparison of clinical data between patients in the initial and proficient stages. ① Of the 97 patients of SO, there were 81 cases and 16 cases in the initial stage and the proficient stage of LSG, with the operation time, postoperative duration of hospital stay as (119±23)minutes, (5.9±2.3)days and (106±21)minutes, (4.7±0.5)days, showing significant differences between them ( t=2.074, 2.147, P<0.05). ②Of the 143 patients of NSO, there were 36 cases and 107 cases in the initial stage and the proficient stage of LSG, with gender (female), height, preoperative body mass, defatted body mass, operation time, postoperative duration of hospital stay, body mass at postoperative 6 month, body mass index (BMI) at postoperative 6 month, percentage of excess weight loss (EWL%) at postoperative 6 month, cases with EWL% >100% at postoperative 6 month, excess BMI at post-operative 6 month as 20, (170±10)cm, (110±25)kg, (57±12)kg, (108±22)minutes, (6.1±1.6)days, (80±16)kg, (27.63±4.22)kg/m2, 83%±35%, 9, 1.99(6.03)kg/m2 and 87, (164±8)cm, (99±20)kg, (52±12)kg, (100±19)minutes, (4.7±1.1)days, (71±16)kg, (25.89±4.48)kg/m2, 103%±42%, 48, 0.31(5.82)kg/m2, showing significant differences between them ( χ2=9.484, t=3.266, 2.424, 2.141, 2.137, 5.821, 2.740, 1.993, -2.524, χ2=4.432, Z=-2.300, P<0.05). Conclusions:SO is an independent factor influencing operation time for LSG. It is suggested that the surgeons need to finish 81 cases and 36 cases master LSG in patients of SO and NSO.

Objective:To investigate the mechanism of action and prognostic value of Dynamin 3 (DNM3) in gastric cancer.Methods:The bioinformatic analysis, experimental study and retrospective cohort study was conducted. The clinicopathological data, fresh gastric cancer tissues, paired normal tissues and the corresponding paraffin sections of 153 gastric cancer patients who underwent radical gastrectomy in Fujian Medical University Union Hospital from January 2013 to July 2018 were collected. Tissues and the corresponding paraffin sections were subjected to quanti-tative real-time polymerase chain reaction, immunoblotting assay, flow cytometric cell cycle assay and immunohistochemical staining, respectively, and clinicopathological data were used for prognostic analysis. The stomach adenocarcinoma (STAD) dataset from the Cancer Genome Atlas (TCGA) database was collected for bioinformatic analysis. Observation indicators: (1) DNM3 gene expression in TCGA-STAD in gastric cancer; (2) mutations and copy number alterations of DNM3 in gastric cancer; (3) methylation level of promoter of DNM3 in gastric cancer; (4) relative protein expression of DNM3 and p53 in gastric cancer; (5) DNM3 correlation and enrichment analysis; (6) ratio of G0/G1 phase, S phase and G2/M phase of cell cycle progression; (7) correlation between immune cell infiltration and DNM3 in gastric cancer; (8) correlation between results of immunohistochemical (IHC) staining and clinical features; (9) analysis of independent factors influencing 5-year overall survival rate of gastric cancer patients. Measurement data with normal distribution were represented as Mean±SD, and comparison among multiple groups was conducted using the ANOVA and further comparison between two groups was conducted using the LSD. Comparison between two groups was conducted using the t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was conducted using the Mann-Whitney U test. Count data were described as absolute numbers or percentages, and compari-son between groups was conducted using the chi-square test or Fisher exact probability. Comparison of ordinal data was conducted using the rank sum test. The Pearson correlation coefficient or Spearman correlation coefficient was used to test the correlation between groups. Univariate and multivariate analyses were conducted using the COX proportional risk regression model. The Kaplan-Meier method was used to draw survival curves and calculate survival rates, and the Log-Rank test was used for survival analysis. The Benjamini-Hochberg false discovery rate correction was used for adjusting of the P-value. Results:(1) DNM3 gene expression in TCGA-STAD. The expression levels of DNM3 gene in the 27 tumor tissues and paired normal tissues of the TCGA-STAD database were 0.775(0.605,1.161) and 1.216(0.772,1.681), showing a significant difference between them ( Z=?2.64, P<0.05). The messenger RNA (mRNA) expression levels of DNM3 gene in 48 pairs of gastric cancer tissues and paired normal tissues of the author′s center were 4.370(2.870,6.040) and 2.520(0.850,4.170), showing a significant difference between them ( Z=?4.39, P<0.05). (2) Mutations and copy number alterations of DNM3 in gastric cancer. There were 16 gastric cancer patients in the TCGA-STAD database with DNM3 mutation or somatic copy number alterations, including 6 cases with missense mutations, 1 case with truncated mutation, 8 cases with copy number gain and 1 case with copy number loss. The mRNA expression levels of DNM3 gene before and after mutation in the 370 gastric cancer patients of the TCGA-STAD database were 6.13(5.40,7.08) and 5.02(3.98,5.46), showing a significant difference between them (Log 2FC=?1.11, Z=?2.59, P<0.05). (3) Methylation level of promoter of DNM3 in gastric cancer. There were 372 gastric cancer patients in the TCGA-STAD database undergoing DNM3 methylation and mRNA examinations, and the results showed that levels of methylation and mRNA expression of DNM3 was 0.198 (-0.458, 0.301) and 6.014 (5.141, 6.628), respectively. The levels of methylation in DNM3 was negatively correlated with its mRNA expression ( r=?0.38, P<0.05). Results of follow-up in 32 patients showed that the 3-year overall survival rate of 16 cases with high levels of methylation in DNM3 and 16 cases with low levels of methylation in DNM3 was 18.8% and 41.3%, respectively, showing a significant difference between them ( hazard ratio=1.40, P<0.05). Results of immunoblot-ting assay showed that the relative expression level of DNM3 protein in the AGS cells treated with 0, 0.5, and 1.0 μmol/L of 5-azacytidin was 0.270±0.020, 0.357±0.051 and 0.599±0.039, respectively, showing a significant difference among the three groups ( F=57.84, P<0.05). The relative expression level of DNM3 protein in the HGC-27 cells treated with 0, 0.5, and 1.0 μmol/L of 5-azacytidin was 0.316±0.038, 0.770±0.031 and 0.877±0.052, respectively, showing a significant difference among the three groups ( F=156.30, P<0.05). (4) Relative protein expression of DNM3 and p53 in gastric cancer. Results of immunoblotting assay showed that the relative expression of DNM3 and p53 protein was 0.688±0.047 and 0.872±0.041 in the AGS cells transfected with pCMV-DNM3 plasmid, versus 0.249±0.029 and 0.352±0.020 in the AGS cells transfected with control plasmid, showing significant differences in the above indicators between the two types of cells ( t=13.77,19.74, P<0.05). The relative expression of DNM3 and p53 protein was 0.969±0.069 and 1.464±0.081 in the HGC-27 cells transfected with pCMV-DNM3 plasmid, versus 0.456±0.048 and 0.794±0.052 in the HGC-27 cells transfected with control plasmid, showing significant differences in the above indicators between the two types of cells ( t=10.57, 12.06, P<0.05). (5) DNM3 correlation and enrichment analysis. Results of correlation analysis showed that DNM3 was positively correlated with genes such as RBMS3, CNTN4 and PDE1A ( r=0.52, 0.52, 0.50, P<0.05) and negatively correlated with genes such as SLC25A39, PAICS and GAPDH ( r=?0.41, ?0.40, ?0.40, P<0.05) in gastric cancer. Results of gene set enrichment analysis showed that the set of genes related to ribosome and oxidative phosphorylation were upregulated in gastric cancer patients with DNM3 low expression [normalized enrichment score (NES)=?3.30, ?2.16, P<0.05], while the set of genes related to immunomodulatory interactions between lymphocytes and non-lymphoid cells were upregulated in gastric cancer patients with DNM3 high expression (NES=1.67, P<0.05). Results of gene ontology analysis showed that the low expression of DNM3 was associated with the separation of mitotic sister chromatid (No.0000070), nonsense-mediation of nuclear transcriptional mRNA catabolic process, sister chromatid separation (No.0000819), nuclear transcriptional mRNA catabolic process and regulation of oxidative phos-phorylation (NES=?2.29, ?3.10, ?2.33, ?2.56, ?2.68, P<0.05). Results of Kyoto encycl opedia of genes and genomes analysis showed that metabolic pathway related to ribosome and oxidative phosphory-lation were upregulated and crosstalked in gastric cancer with low expression of DNM3 (NES=?3.34, ?2.21, P<0.05). (6) Ratio of G0/G1 phase, S phase and G2/M phase of cell cycle progression. Results of flow cytometric cell cycle experiments showed that the proportions of G0/G1 phase, S phase and G2/M phase in the cell cycle was 65.1%±3.0%, 17.3%±3.0% and 17.6%±1.0% in the AGS cells transfected with pCMV-DNM3 plasmid, versus 53.4%±4.0%, 26.3%±2.0% and 20.3%±3.0% in the AGS cells transfected with control plasmid, showing significant differences in the proportions of G0/G1 phase and S phase in the two types of cells ( t=4.05, 4.32, P<0.05). (7) Correlation between immune cell infiltration and DNM3 in gastric cancer. Results of immune cell infiltration examination showed that the expression level of DNM3 was positively associated with mast cells, NK cells, pDCs, B cells, follicular helper T cells, effector memory T cells, T cells, central memory T cells, CD8 T cells, DC cells, macrophages, γ-δ T cells (Tgd), iDCs and eosinophils infiltration (Spearman correlation coefficients as 0.41, 0.29, 0.26, 0.20, 0.22, 0.22, 0.13, 0.16, 0.15, 0.14, 0.14, 0.17, 0.18, 0.22, P<0.05) and negatively associated with Th17 cell, Th2 cells and NK CD56 dim cells infiltration ( r=?0.18, ?0.23, ?0.10, P<0.05). (8) Correlation between results of IHC staining and clinical features. Results of IHC staining analysis showed that the IHC score of DNM3 was 3(2,4) in the 105 gastric cancer tissues, versus 6(4,9) in the 105 paired normal tissues, showing a significant difference between them ( Z=-7.35, P<0.05). There were significant differences in gender, tumor location and N stating between the 70 patients with low expression of DNM3 and the 35 patients with high expression of DNM3 ( χ2=4.29, 7.67, 6.86, P<0.05). (9) Analysis of independent factors influencing 5-year overall survival rate of gastric cancer patients. Results of multivariate analysis showed that stage pT3?4 and low IHC score of DNM3 were independent risk factors for 5-year overall survival rate of gastric cancer patients ( hazard ratio=1.91, 0.51, 95% confidence interval as 1.06?3.43, 0.26?0.98, P<0.05). The 5-year overall survival rate was 44.3% in patients with low expression of DNM3, versus 65.7% in gastric cancer patients with high expression of DNM3, showing a significant difference between them ( χ2=5.02, P<0.05). Conclusion:DNM3 is a tumor suppressor and an independent predictor of poor prognosis for gastric cancer, which may regulate gastric cancer cell cycle and immunosuppression in the tumor microenvironment through methylation.