Despite breakthroughs in immunotherapy for solid tumors, significant variations in treatment efficacy persist. Up to 80% of cancer patients suffer from malnutrition, which leads to: lymphoid atrophy and reduced T-cell reserves; deficiency of substrates required for T-cell activation and expansion; concurrent inflammation hindering T-cell infiltration into tumors; and cachexia accelerating PD-1 antibody clearance. Clinical studies confirm that severe malnutrition significantly impairs immune responses and increases the risk of treatment toxicity. Therefore, implementing standardized nutritional therapy is crucial for optimizing the reserve, activation, expansion, and infiltration capacity of immune cells, thereby providing a sound immune system foundation for immunotherapy. Immunonutrition therapy, by enhancing immunonutrients such as arginine, omega-3 polyunsaturated fatty acids, and nucleotides, reduces the secretion of pro-inflammatory mediators and promotes T-cell activation and proliferation. This enhances anti-tumor immune responses, prolongs survival, and advances cancer treatment towards multimodal combination and precision approaches.

This paper provides a systematic review of the policies, regulations, and management requirements in the development and use of in vitro diagnostic reagents by healthcare institutions, along with their current implementation status both domestically and internationally, and includes a case analysis of the pilot program at Peking Union Medical College Hospital (PUMCH). The Medical Affairs Department of PUMCH, serving as the leading and operational management unit, established a multi-department collaborative governance structure and developed a full-lifecycle management model encompassing project selection, manufacturing approach determination, regulatory submission and approval, batch production, and clinical implementation. Under this management model, the hospital successfully completed five projects within just one year, achieving the highest number of project filings nationwide. Economic benefit evaluation of the first approved reagent, which is urgently required by clinical practice and named allergen-specific immunoglobulin E detection assay for Fraxinus pennsylvanica pollen, demonstrates that the project realized controllable risk and predictable commercial value, and proves that proactive implementation of systematic management model and project systematic construction is the key to successfully advancing laboratory-developed test programs. The experiences provide both theoretical insights and practical guidance for peer medical institutions seeking to develop and implement self-developed in vitro diagnostic reagents.

To investigate the clinical application value of indocyanine green(ICG) fluorescence-guided thoracoscopic lung lesion resection under the diagnosis related group(DRG) payment system, and to provide reference for the management of new medical technologies in healthcare institutions.

Background As a pillar industry in China, the manufacturing sector has a high incidence of non-fatal occupational injuries. The factors influencing non-fatal occupational injuries in this industry are closely related at various levels, including individual, equipment, environment, and management, making the analysis of these influencing factors complex. Objective To identify influencing factors of non-fatal occupational injuries among manufacturing workers, providing a basis for targeted interventions and surveillance. Methods A total of 2243 frontline workers from cable and shipbuilding enterprises were selected as study subjects to investigate the incidence of non-fatal occupational injuries and collect information at four levels: individual, equipment, management, and environment in past 12 months. Data balancing was performed using resampling, and LASSO regression was used to select factors of non-fatal occupational injuries. The influence degree and type of variables were judged based on the magnitude of the estimated coefficients of each variable, where variables with estimated coefficients > 0 are risk factors, and those <0 are protective factors. The area under the receiver operating characteristic (ROC)curve (AUC) was used to test the performance of the model, with an AUC value > 0.7 indicating good model performance. Results Among the 2243 frontline workers, males accounted for 77.7% (1742 out of 2243), with the main age range being 40-49 years old, representing 29.5% (661 out of 2243), 82.7% of the workers (1854 out of 2243) were married, and 55.6% (1248 out of 2243) had a junior middle school education level. The average monthly income for 51.0% (1144 out of 2243) of the workers was between 5000 and 6999 Chinese Yuan. The incidence of non-fatal occupational injuries among the manufacturing workers was 8.4% (189/2243) in the past 12 months. Among the 22 factors associated with the occurrence of non-fatal occupational injuries (P<0.05), 10 were individual-level factors, including gender, smoking, alcohol consumption, colleague relationships, average exercise duration, job burnout, work fatigue, musculoskeletal disorders, cardiovascular diseases, and neurological and sensory organ diseases; 3 were equipment-level factors, including equipment operability, hazardous workpieces, and safety hazards; 5 were environmental-level factors, including low temperatures, special operations, noise, workspace size, and dirty and disorderly environment; and 4 were management-level factors, including daily working hours, weekly working days, overtime, and pre-job technical training. The AUC value of the LASSO regression model was 0.704 and the final model retained a total of 10 variables. Among them, there were 7 risk factors for non-fatal occupational injuries (coefficient > 0), including safety hazards, musculoskeletal disorders, dangerous workpieces, job burnout, dirty and disorderly environment, smoking, and male gender; and 3 protective factors (coefficient < 0), including pre-job technical training, good colleague relationship, and long working days per week. Conclusion Manufacturing enterprises need to focus on the incidence of non-fatal occupational injuries and conduct targeted interventions for non-fatal occupational injuries by controlling potential safety hazards, providing pre-job technical training, reducing dangerous workpieces, rectifying working environment, and reasonably arranging working hours.

Background Workers in the cable manufacturing industry are exposed to high-speed machinery and equipment for a long time, coupled with heavy workload, which poses significant risks to their physical health. However, the issue of occupational injuries in this industry has not received enough attention yet. Objective To understand the incidence of occupational injury of workers in cable manufacturing industry and to analyze the influencing factors. Method A basic information questionnaire and an occupational injury questionnaire were developed to investigate the occupational injuries of 1 343 workers in a cable manufacturing enterprise in the past year, and a total of 1 225 valid questionnaires were recovered, with an effective rate of 91.2%. Descriptive statistics were used to characterize the causes, injury locations, injury types, and other characteristics of employees’ occupational injuries. Chi-square test was used to analyze the occupational injury status of groups with different demographic characteristics, occupational characteristics, lifestyles, and interpersonal relationships. Logistic regression was used to analyze the influencing factors of occupational injuries. Result The incidence of occupational injuries among workers in a cable manufacturing enterprise in the past year was 8.6%, which mainly happened in male workers (80.0%) and occurred from May to July in summer (45.7%). The main causes were mechanical injuries (32.4%) and object blows (27.6%). The main sources of damage were machinery and equipment (36.2%) as well as raw materials and products (15.2%). The main injuries were located in upper limbs (53.3%) and lower limbs (22.9%). The main types of injuries were fractures (33.3%) and abrasions/contusions/puncture wounds (19.0%). The results of univariate analysis showed that there were statistically significant variations in the incidence of occupational injuries by gender, overtime, pre-job training, years of service in current position, alcohol consumption, physical exercise per week, and co-worker relationship (P<0.05). The logistic regression model showed that workers who exercised less than twice a week, did not participate in pre-job training, worked overtime, and had fair/poor/very poor colleague relationship had a higher risk of occupational injury, while women had a lower risk of occupational injury. Conclusion The distribution of occupational injury population is mainly male, and the time distribution is mainly from May to July. Gender, physical exercise, pre-job training, overtime, and colleague relationship are the influencing factors of occupational injuries. We should strengthen pre-job training, arrange work hours reasonably, and create a good working atmosphere to reduce the occurrence of occupational injuries.

Background Social psychological factors have emerged as a key area of research in occupational injury prevention. Occupational stress, a significant component of social psychology, has garnered widespread attention due to its potential impact on occupational injury. Objective To analyze the factors influencing occupational stress among cable manufacturing workers and explore the relationship between occupational stress and occupational injury, and to provide scientific evidence for reducing occupational stress and injury. Methods A questionnaire on basic demographics, occupational injury, and occupational stress (Effort-Reward Imbalance, ERI) was used to investigate 1343 workers in a cable enterprise. Chi-square test was employed to analyze the distribution of occupational stress across different worker characteristics. Logistic regression was used to identify factors influencing occupational stress, and a decision tree model was applied to assess the impact of occupational stress on injury risk. Results A total of 1225 valid questionnaires were collected, yielding a response rate of 91.2%. The positive rate of occupational stress was 28.7%, while the incidence of occupational injury in the past year was 8.6%. The results of univariate analysis revealed that workers who had experienced occupational injuries had a higher positive rate of occupational stress compared to those without injuries (P<0.05), and there were significant differences in the distribution of occupational stress by genders, overtime work, shift work, daily working hours, fatigue levels, sleep duration, family relationships, and colleague relationships (P<0.05). The logistic regression results showed that individuals who worked shifts, had fair/poor/very colleague relationships, and frequently worked overtime had a higher risk of occupational stress (P<0.05). The final decision tree model confirmed that occupational stress was a risk factor for occupational injury. Additional factors influencing occupational injury included physical exercise, colleague relationships, pre-job training participation, and gender. Workers who exercised less than twice per week and experienced occupational stress had a significantly higher risk of injury (23.6%) compared to those without occupational stress (10.9%). Conclusion Shift work, colleague relationships, and overtime work are correlated with the positive rate of occupational stress among cable manufacturing workers. Implementing a reasonable work schedule and fostering a positive work environment are recommended. Reducing occupational stress may help lower the risk of occupational injuries in this industry.

Background Diseases severely affect the efficiency of workers. Comorbidity refers to the coexistence of two or more chronic diseases or health problems in the same individual. Previous studies have primarily focused on occupational injuries caused by environmental exposures, while the analysis of the epidemiological characteristics of self-reported diseases and occupational injuries among manufacturing workers has been insufficient. Objective To analyze the distribution of self-reported diseases and occupational injuries among manufacturing workers, the strength of correlation between different diseases, and common disease combinations, and to preliminarily explore the relationship between self-reported diseases and occupational injuries. Methods A cross-sectional survey was conducted to investigate the occupational injuries of 2382 workers in 2 manufacturing enterprises over the past year, and 2355 questionnaires were valid after cleaning. The questionnaire included three parts: basic information, occupational injury occurrence, and disease prevalence. The self-reported diseases diagnosed by physicians included musculoskeletal diseases, cardiovascular diseases, respiratory diseases, mental health problems, neurological and sensory organ diseases, digestive organ diseases, reproductive and urinary organ diseases, skin diseases, tumors, endocrine and metabolic system diseases, blood diseases and birth defects, a total of 11 types. Log-binomial model was used to calculate the prevalence ratio (PR) value of the association between different diseases, and UpSet diagram was used to present the disease combination pattern. Results In total, 40.2% (946/2355) of the study participants reported at least one disease, while 8.6% (203/2355), 5.2% (122/2355), and 5.9% (140/2355) reported having two, three, and four or more diseases, respectively. A higher prevalence was observed for musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases, which accounted for 18.0% (423/2355), 13.8% (324/2355), 9.3% (218/2355), and 9.1% (214/2355), respectively. Workers with musculoskeletal disorders, cardiovascular diseases, or neurological and sensory organ diseases reported significantly higher incidence of occupational injuries compared with workers without the corresponding diseases (P<0.001, P=0.041, and P=0.006, respectively). Musculoskeletal diseases were strongly associated with comorbidities of neurological and sensory organ diseases (PR values were 1.86 and 1.98, respectively), and the other patters were musculoskeletal diseases and digestive organ diseases (PR and OR values were 1.57 and 2.35, respectively), and musculoskeletal diseases and cardiovascular diseases (PR and OR values were 1.46 and 2.22, respectively). The largest binomial comorbidity group involved musculoskeletal diseases and neurological and sensory organ diseases, accounting for 5.4% (25/465) of the comorbid workers. Conclusion Among the self-reported diseases of manufacturing workers, musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases are more common. Musculoskeletal diseases and neurological and sensory organ diseases are the most common in all comorbidities. Musculoskeletal diseases, cardiovascular diseases, and neurological and sensory organ diseases are associated with occupational injuries. In the prevention and control of occupational injuries, joint prevention strategies targeting multiple diseases should be strengthened.

Several types of arthritis share the common feature that the generation of inflammatory mediators leads to joint cartilage degradation. However, the shared mechanism is largely unknown. H2BK120ub1 was reportedly involved in various inflammatory diseases but its role in the shared mechanism in inflammatory joint conditions remains elusive. The present study demonstrated that levels of cartilage degradation, H2BK120ub1, and its regulator WW domain-containing adapter protein with coiled-coil (WAC) were increased in cartilage in human rheumatoid arthritis (RA) and osteoarthritis (OA) patients as well as in experimental RA and OA mice. By regulating H2BK120ub1 and H3K27me3, WAC regulated the secretion of inflammatory and cartilage-degrading factors. WAC influenced the level of H3K27me3 by regulating nuclear entry of the H3K27 demethylase KDM6B, and acted as a key factor of the crosstalk between H2BK120ub1 and H3K27me3. The cartilage-specific knockout of WAC demonstrated the ability to alleviate cartilage degradation in collagen-induced arthritis (CIA) and collagenase-induced osteoarthritis (CIOA) mice. Through molecular docking and dynamic simulation, doxercalciferol was found to inhibit WAC and the development of cartilage degradation in the CIA and CIOA models. Our study demonstrated that WAC is a key factor of cartilage degradation in arthritis, and targeting WAC by doxercalciferol could be a viable therapeutic strategy for treating cartilage destruction in several types of arthritis.

Objective To discuss the correlation between free prostate specific antigen(fPSA),serum ferritin(SF),blood uric acid(SUA)levels and Gleason grading in patients with prostate cancer(PCa).Methods The clinical data of 61 patients with prostate biopsy treated in 411 Hospital of Shanghai University from January to December of 2023 were retrospectively analyzed.According to the results of puncture,the patients were divided into benign prostatic hyperpla-sia(BPH)group(31 cases)and PCa group(30 cases).The levels of fPSA,SF and SUA in patients and Gleason grade in biopsy cases were analyzed.The correlation between fPSA,SF and SUA levels and Gleason grade was analyzed by the method of Spearman.And the diagnostic efficacy of fPSA,SF and SUA levels on PCa was analyzed by receiver operating characteristic curve(ROC).Results The levels of fPSA,SF and SUA in PCa group were significantly higher than those in BPH group(P＜0.05).There were statistically significant differences in levels of fPSA SF and SUA in PCA patients with different Gleason grades(P＜0.05).With the specificity reaching 96.08％and sensitivity reaching 94.35％,the ar-ea under the curve(AUC)of the combined fPSA,SF and SUA levels in the diagnosis of PCa was 0.982,which was higher than that of the single fPSA,SF and SUA levels(P＜0.05).SF and SUA levels in PCa patients were positively correlated with Gleason grade(P＜0.05),while fPSA levels were not correlated with Gleason grade(P＞0.05).Conclusion The levels of SF and SUA in PCa patients are positively correlated with Gleason grade,which can be used as an important index to predict Gleason grade in PCa patients.

Objective:To explore the correlation between serum hepcidin antimicrobial peptide (HAMP), secreted phosphoprotein 1 (SPP1), and regulator of G protein signaling 2 (RGS2) levels and the clinical pathological characteristics of gastric cancer patients, and their predictive value for postoperative recurrence or metastasis.Methods:A total of 92 gastric cancer patients treated at Handan First Hospital from March 2021 to March 2023 were selected as the gastric cancer group, and 92 healthy individuals who underwent physical examinations during the same period were selected as the control group. The serum levels of HAMP, SPP1 and RGS2 were compared between the two groups. According to the mean levels of HAMP, SPP1, and RGS2 in the serum of gastric cancer patients, they were divided into HAMP high level group and HAMP low level group, SPP1 high level group and SPP1 low level group, RGS2 high level group and RGS2 low level group. The clinicopathological characteristics of gastric cancer patients with different levels of HAMP, SPP1 and RGS2 were compared respectively. After a median follow-up of 18 months, gastric cancer patients were divided into a non-recurrence or metastasis group ( n=59) and a recurrence and metastasis group ( n=33) based on whether the tumor recurred or metastasized. The serum levels of HAMP, SPP1, and RGS2 were compared between the two groups of patients. The predictive value of HAMP, SPP1 and RGS2 for postoperative recurrence or metastasis in patients with gastric cancer was analyzed by using the receiver operator characteristic (ROC) curve. Results:Compared with the control group, the gastric cancer group had higher levels of serum HAMP [ (52.28±5.44) ng/ml vs. (31.22±4.18) ng/ml] and SPP1 [ (55.96±6.43) ng/ml vs. (36.99±5.25) ng/ml] ( t=29.44, P<0.001; t=21.92, P<0.001), and lower level of RGS2 [ (3.72±0.66) mg/L vs. (5.11±0.87) mg/L) ] ( t=12.21, P<0.001). There were statistically significant differences in maximum tumor diameter ( χ2=13.07, P<0.001; χ2=6.71, P=0.010; χ2=10.56, P=0.001), TNM staging ( χ2=7.42, P=0.006; χ2=6.36, P=0.012; χ2=5.39, P=0.020), lymph node metastasis ( χ2=23.41, P<0.001; χ2=6.52, P=0.011; χ2=13.11, P<0.001), and differentiation degree ( χ2=9.01, P=0.003; χ2=7.97, P=0.005; χ2=15.29, P<0.001) between the gastric cancer patients in the HAMP high level group ( n=44) and the HAMP low level group ( n=48), the SPP1 high level group ( n=43) and the SPP1 low level group ( n=49), and the RGS2 high level group ( n=50) and the RGS2 low level group ( n=42). Compared with the non-recurrence or metastatic group, the recurrence and metastatic group had higher levels of serum HAMP [ (59.26±5.66) ng/ml vs. (48.37±4.28) ng/ml] and SPP1 [ (62.85±6.36) ng/ml vs. (52.11±5.38) ng/ml] level ( t=10.40, P<0.001; t=8.60, P<0.001), and lower level of RGS2 [ (3.01±0.48) mg/L vs. (4.12±0.69) mg/L] ( t=8.19, P<0.001). ROC curve analysis showed that the area under the curve (AUC) values of serum HAMP, SPP1, and RGS2 levels alone for predicting postoperative recurrence or metastasis in gastric cancer patients were 0.777, 0.813, and 0.778, respectively. The AUC value of the combination of the three indicators for predicting postoperative recurrence or metastasis in gastric cancer patients was 0.871. The predictive efficacy of the combination of the three indicators for predicting postoperative recurrence or metastasis in gastric cancer patients was better than that alone ( Z=2.51, P=0.035; Z=2.61, P=0.032; Z=2.71, P=0.029) . Conclusions:The levels of HAMP and SPP1 in the serum of gastric cancer patients increase, while the level of RGS2 decreases, and the levels of the three are related to the maximum tumor diameter, TNM staging, lymph node metastasis and differentiation degree, and their combined detection has higher predictive value for postoperative recurrence or metastasis in gastric cancer patients.