1.Research progress on engineered tumor whole-cell vaccines
Weifan WANG ; Fengze MIAO ; Zongguang TAI ; Quangang ZHU ; Zhongjian CHEN ; Cuiyun YU
Journal of Pharmaceutical Practice and Service 2026;44(5):221-227
The emergence of immunotherapy has provided new optimism for cancer treatment. Tumor vaccine, a promising immunotherapy strategy, can be categorized into those with identified single or multiple antigens and those with unidentified whole-tumor antigens as their antigenic sources. Currently, mainstream tumor vaccines are still based on identified antigens. However, due to their limitations, tumor vaccines prepared based on whole tumor antigens have unique advantages. However, the low immunogenicity of whole-tumor antigen vaccines affected their clinical efficacy. To improve the immunogenicity, researchers have employed various strategies such as immunogenic death, genetic engineering modifications, cell membrane modifications, and tumor cell lysates, which demonstrated significant clinical potential. The research progress of engineering whole-cell vaccines based on tumor cells in recent years was reviewed in this paper, with a focus on their clinical progress and application prospects.
2.Correlation between serum 25-hydroxyvitamin D levels and 24-h urinary calcium excretion and hypercalciuria in Chinese adults
Li SHEN ; Hao ZHANG ; Qi LU ; Shanshan LI ; Chao GAO ; Yazhao MEI ; Hua YUE ; Xiangtian YU ; Qi YAO ; Yanan HUO ; Yuhong ZENG ; Yin JIANG ; Zhongjian XIE ; Aijun CHAO ; Xiaolan JIN ; Li MAO ; Zhenlin ZHANG
Chinese Journal of Internal Medicine 2025;64(4):318-324
Objective:To investigate the association between serum 25-hydroxyvitamin D [25(OH)D] levels and 24-h urinary calcium excretion (24-h UCaE) and hypercalciuria in Chinese adults.Methods:This cross-sectional study was conducted from March 2022 to March 2023 in nine cities in China and included 1 239 residents. Demographic characteristics were collected through questionnaires and physical examinations, fasting blood samples were assessed for bone metabolism indicators, and 24-h urine samples were used to determine the 24-h UCaE. Multiple linear regression analysis was used to explore the relationship between serum 25(OH)D and 24-h UCaE and bone metabolism indexes. The relationship between serum 25(OH)D and hypercalciuria was analyzed using a multiple logistic regression model combined with restricted cubic spline modeling.Results:The mean participant age was (47.9±18.1) years, of which 453 (36.6%) were male. The percentages of vitamin D sufficiency, insufficiency, and deficiency were 7.6% (94/1 239), 29.0% (359/1 239), and 63.4% (786/1 239), respectively. The multiple linear regression model showed that after adjusting for the covariates the 24-h UCaE gradually increased with higher levels of 25(OH)D ( P overall <0.001, P nonlinear <0.001). The logistic regression analysis revealed that compared with the vitamin D deficient group, the OR for the prevalence of hypercalciuria in the vitamin D sufficient and vitamin D insufficient groups were 3.290 (95% CI 1.745 to 6.202) and 3.742 (95% CI 2.458 to 5.697), respectively. The results of the restricted cubic spline modeling showed a positive nonlinear relationship between 25(OH)D and the prevalence of hypercalciuria ( P overall <0.001, P nonlinear <0.001). The prevalence of hypercalciuria increased when 25(OH)D was >17.00 μg/L and peaked at 26.71 μg/L, after which there was a decreasing trend in the prevalence of hypercalciuria with increasing 25(OH)D. Conclusion:Associations between serum 25(OH)D levels and urinary calcium excretion and the prevalence of hypercalciuria were observed in the Chinese adult population.
3.Performance assessment of CyberKnife-based SBRT plans with VoLO and SO algorithm for liver cancer
Shaojuan WU ; Zhongjian JU ; Yu LI ; Hanshun GONG ; Baolin QU ; Xiaoliang LIU ; Shanshan GU ; Xiangkun DAI
China Medical Equipment 2025;22(6):7-13
Objective:To assess performance advantages of voxel-less optimization(VoLO)algorithm of CyberKnife-based S7 treatment plan system for the optimization of stereotactic body radiation therapy(SBRT)for liver cancer.Methods:The case data of 20 patients with hepatocellular carcinoma from Chinese PLA General Hospital during June 2022 and April 2023 were retrospectively selected,which included 10 patients with large hepatocellular carcinoma and 10 patients with small hepatocellular carcinoma.All patients adopted respectively sequential optimization(SO)and VoLO to conduct optimization for plan.The optimized quality of plan and execution efficiency of two kinds of algorithms were assessed,and the influences of different tumor volumes also were considered.The planed quality assessment included dosimetric parameters of the target region and organ at risk(OAR).The assessment parameters of execution efficiency included the numbers of monitor units(MUs),nodes and beams,and estimated treatment time.Paired t-test method was adopted to analyze quality of plan and treatment efficiency.Results:On the aspect of the dose of target region,for small hepatocellular carcinoma,the conformity index(CI)value(1.08±0.05)of target region of VoLO algorithm was significantly better than(1.17±0.06)of SO algorithm(t=4.631,P<0.05).The gradient index(GI),coverage rate and dose by 95%(D95%)of VoLO algorithm were better than those of SO algorithm,while the differences were not significant(P>0.05).According to the defined standards of liver surgery,for large hepatocellular carcinoma,the differences in CI,GI,coverage rate and D95%of target region between two kinds of algorithms were significant(t=3.337,4.238,-3.359,-3.311,P<0.05),respectively.On the aspect of dosimetry for OAR,for the target region of large hepatocellular carcinoma,the differences of liver Dmean and D700 cm3 between two kinds of algorithms were significant(t=4.114,3.415,P<0.05).However,for small hepatocellular carcinoma,there was no significant statistical difference in dosimetry parameters of OAR between two kinds of algorithms(P>0.05).The execution efficiency of the plan of VoLO group was obviously higher than that of SO group,and the differences of MU number,node number,beam number and estimated treatment time between two groups were significant(t=12.661,4.423,5.024,9.487,P<0.05).Conclusion:The quality of VoLO plan is significantly better than that of SO,which has a significant improvement in execution efficiency of treatment.For the cases of large hepatocellular carcinoma with more complexity,the VoLO optimization shows better advantages on the aspect of dose on target region,and protection for normal liver.
4.Performance assessment of CyberKnife-based SBRT plans with VoLO and SO algorithm for liver cancer
Shaojuan WU ; Zhongjian JU ; Yu LI ; Hanshun GONG ; Baolin QU ; Xiaoliang LIU ; Shanshan GU ; Xiangkun DAI
China Medical Equipment 2025;22(6):7-13
Objective:To assess performance advantages of voxel-less optimization(VoLO)algorithm of CyberKnife-based S7 treatment plan system for the optimization of stereotactic body radiation therapy(SBRT)for liver cancer.Methods:The case data of 20 patients with hepatocellular carcinoma from Chinese PLA General Hospital during June 2022 and April 2023 were retrospectively selected,which included 10 patients with large hepatocellular carcinoma and 10 patients with small hepatocellular carcinoma.All patients adopted respectively sequential optimization(SO)and VoLO to conduct optimization for plan.The optimized quality of plan and execution efficiency of two kinds of algorithms were assessed,and the influences of different tumor volumes also were considered.The planed quality assessment included dosimetric parameters of the target region and organ at risk(OAR).The assessment parameters of execution efficiency included the numbers of monitor units(MUs),nodes and beams,and estimated treatment time.Paired t-test method was adopted to analyze quality of plan and treatment efficiency.Results:On the aspect of the dose of target region,for small hepatocellular carcinoma,the conformity index(CI)value(1.08±0.05)of target region of VoLO algorithm was significantly better than(1.17±0.06)of SO algorithm(t=4.631,P<0.05).The gradient index(GI),coverage rate and dose by 95%(D95%)of VoLO algorithm were better than those of SO algorithm,while the differences were not significant(P>0.05).According to the defined standards of liver surgery,for large hepatocellular carcinoma,the differences in CI,GI,coverage rate and D95%of target region between two kinds of algorithms were significant(t=3.337,4.238,-3.359,-3.311,P<0.05),respectively.On the aspect of dosimetry for OAR,for the target region of large hepatocellular carcinoma,the differences of liver Dmean and D700 cm3 between two kinds of algorithms were significant(t=4.114,3.415,P<0.05).However,for small hepatocellular carcinoma,there was no significant statistical difference in dosimetry parameters of OAR between two kinds of algorithms(P>0.05).The execution efficiency of the plan of VoLO group was obviously higher than that of SO group,and the differences of MU number,node number,beam number and estimated treatment time between two groups were significant(t=12.661,4.423,5.024,9.487,P<0.05).Conclusion:The quality of VoLO plan is significantly better than that of SO,which has a significant improvement in execution efficiency of treatment.For the cases of large hepatocellular carcinoma with more complexity,the VoLO optimization shows better advantages on the aspect of dose on target region,and protection for normal liver.
5.Correlation between serum 25-hydroxyvitamin D levels and 24-h urinary calcium excretion and hypercalciuria in Chinese adults
Li SHEN ; Hao ZHANG ; Qi LU ; Shanshan LI ; Chao GAO ; Yazhao MEI ; Hua YUE ; Xiangtian YU ; Qi YAO ; Yanan HUO ; Yuhong ZENG ; Yin JIANG ; Zhongjian XIE ; Aijun CHAO ; Xiaolan JIN ; Li MAO ; Zhenlin ZHANG
Chinese Journal of Internal Medicine 2025;64(4):318-324
Objective:To investigate the association between serum 25-hydroxyvitamin D [25(OH)D] levels and 24-h urinary calcium excretion (24-h UCaE) and hypercalciuria in Chinese adults.Methods:This cross-sectional study was conducted from March 2022 to March 2023 in nine cities in China and included 1 239 residents. Demographic characteristics were collected through questionnaires and physical examinations, fasting blood samples were assessed for bone metabolism indicators, and 24-h urine samples were used to determine the 24-h UCaE. Multiple linear regression analysis was used to explore the relationship between serum 25(OH)D and 24-h UCaE and bone metabolism indexes. The relationship between serum 25(OH)D and hypercalciuria was analyzed using a multiple logistic regression model combined with restricted cubic spline modeling.Results:The mean participant age was (47.9±18.1) years, of which 453 (36.6%) were male. The percentages of vitamin D sufficiency, insufficiency, and deficiency were 7.6% (94/1 239), 29.0% (359/1 239), and 63.4% (786/1 239), respectively. The multiple linear regression model showed that after adjusting for the covariates the 24-h UCaE gradually increased with higher levels of 25(OH)D ( P overall <0.001, P nonlinear <0.001). The logistic regression analysis revealed that compared with the vitamin D deficient group, the OR for the prevalence of hypercalciuria in the vitamin D sufficient and vitamin D insufficient groups were 3.290 (95% CI 1.745 to 6.202) and 3.742 (95% CI 2.458 to 5.697), respectively. The results of the restricted cubic spline modeling showed a positive nonlinear relationship between 25(OH)D and the prevalence of hypercalciuria ( P overall <0.001, P nonlinear <0.001). The prevalence of hypercalciuria increased when 25(OH)D was >17.00 μg/L and peaked at 26.71 μg/L, after which there was a decreasing trend in the prevalence of hypercalciuria with increasing 25(OH)D. Conclusion:Associations between serum 25(OH)D levels and urinary calcium excretion and the prevalence of hypercalciuria were observed in the Chinese adult population.
6.Construction and verification of a risk prediction model for ventilator-associated pneumonia in trauma patients
Zhibing WANG ; Kejing YU ; Qianqian LIU ; Zhongjian LI ; Chunxia ZHANG ; Dongdong HAN
Chinese Journal of Integrated Traditional and Western Medicine in Intensive and Critical Care 2024;31(6):684-689
Objective To construct a risk prediction model for ventilator-associated pneumonia(VAP)in trauma patients and evaluate its efficacy.Methods A single-center retrospective study was conducted,trauma patients admitted to the department of emergency intensive care unit(EICU)of Hebei Cangzhou Hospital of Integrated Traditional Chinese Medicine and Western Medicine from January 1,2018 to January 1,2023 were selected as the study subjects,and the patients were divided into VAP group and non-VAP group.Differences between the two groups in variables including demographic characteristics,clinical data,and clinical scores.To prevent overfitting,differences between the groups were reduced using LASSO regression.Multifactor Logistic regression was used to identify risk factors for VAP in trauma patients and construct a risk prediction model.The model's discrimination was evaluated using the receiver operator characteristic curve(ROC curve)and area under the curve(AUC).The calibration curve was drawn and Hosmer-Lemeshow test were performed to evaluate the calibration degree of the model.Decision curve analysis(DCA)and clinical impact curve(CIC)were used to analyse the model's net benefit at different probability thresholds.Results A total of 888 trauma patients were included,among which 166 cases(18.7%)were diagnosed with VAP.Compared to the non-VAP group,the VAP group showed a significant increase in age,age-adjusted Charlson comorbidity index(aCCI)scores,white blood cell count(WBC),sequential organ failure assessment(SOFA)scores,length of ICU stay,and the proportion of patients with chest trauma,traumatic brain injury,and spinal cord injury.In contrast,hemoglobin(Hb),Glasgow coma scale(GCS)scores,and body mass index(BMI)were significantly lower in the VAP group(all P<0.05).Using LASSO regression,four variables were identified as important predictors for the occurrence of VAP in trauma patients:length of ICU stay,aCCI,WBC,and SOFA score.Multivariate Logistic regression showed that length of ICU stay[odds ratio(OR)and 95%confidence interval(95%CI)was 1.094(1.070-1.117)],aCCI[OR(95%CI)was 1.135(1.065-1.210)],WBC[OR(95%CI)was 1.139(1.104-1.176)],and SOFA score[OR(95%CI)was 1.137(1.080-1.197)]were independent risk factors for the occurrence of VAP in trauma patients(all P<0.05).Based on these influencing factors,a predictive model for VAP occurrence was constructed.ROC curve analysis showed that the AUC for predicting VAP occurrence in trauma patients was 0.876,with a 95%CI was 0.850-0.903,a sensitivity of 86.14%,and a specificity of 75.17%,indicating that the model has a high discriminative ability.Hosmer-Lemeshow test:χ2=7.7,P=0.2,Cox&Snell R2=0.236,Nagelkerke R2=0.387,the calibration curve was very close to the diagonal,and the mean absolute error(MAE)=0.03,indicating the model's predictions were highly consistent with actual clinical observations.The DCA and CIC curves indicate that within the threshold probability of<70%,using this model to identify high-risk groups for VAP in trauma patients and making clinical decisions can provide benefits in clinical practice.Conclusion The risk prediction model of VAP in trauma patients constructed in this study has high discrimination and calibration,which can provide reference for medical personnel to identify high-risk groups of VAP among trauma patients at an early stage and provide targeted intervention measures.
7.Construction and verification of a risk prediction model for ventilator-associated pneumonia in trauma patients
Zhibing WANG ; Kejing YU ; Qianqian LIU ; Zhongjian LI ; Chunxia ZHANG ; Dongdong HAN
Chinese Journal of Integrated Traditional and Western Medicine in Intensive and Critical Care 2024;31(6):684-689
Objective To construct a risk prediction model for ventilator-associated pneumonia(VAP)in trauma patients and evaluate its efficacy.Methods A single-center retrospective study was conducted,trauma patients admitted to the department of emergency intensive care unit(EICU)of Hebei Cangzhou Hospital of Integrated Traditional Chinese Medicine and Western Medicine from January 1,2018 to January 1,2023 were selected as the study subjects,and the patients were divided into VAP group and non-VAP group.Differences between the two groups in variables including demographic characteristics,clinical data,and clinical scores.To prevent overfitting,differences between the groups were reduced using LASSO regression.Multifactor Logistic regression was used to identify risk factors for VAP in trauma patients and construct a risk prediction model.The model's discrimination was evaluated using the receiver operator characteristic curve(ROC curve)and area under the curve(AUC).The calibration curve was drawn and Hosmer-Lemeshow test were performed to evaluate the calibration degree of the model.Decision curve analysis(DCA)and clinical impact curve(CIC)were used to analyse the model's net benefit at different probability thresholds.Results A total of 888 trauma patients were included,among which 166 cases(18.7%)were diagnosed with VAP.Compared to the non-VAP group,the VAP group showed a significant increase in age,age-adjusted Charlson comorbidity index(aCCI)scores,white blood cell count(WBC),sequential organ failure assessment(SOFA)scores,length of ICU stay,and the proportion of patients with chest trauma,traumatic brain injury,and spinal cord injury.In contrast,hemoglobin(Hb),Glasgow coma scale(GCS)scores,and body mass index(BMI)were significantly lower in the VAP group(all P<0.05).Using LASSO regression,four variables were identified as important predictors for the occurrence of VAP in trauma patients:length of ICU stay,aCCI,WBC,and SOFA score.Multivariate Logistic regression showed that length of ICU stay[odds ratio(OR)and 95%confidence interval(95%CI)was 1.094(1.070-1.117)],aCCI[OR(95%CI)was 1.135(1.065-1.210)],WBC[OR(95%CI)was 1.139(1.104-1.176)],and SOFA score[OR(95%CI)was 1.137(1.080-1.197)]were independent risk factors for the occurrence of VAP in trauma patients(all P<0.05).Based on these influencing factors,a predictive model for VAP occurrence was constructed.ROC curve analysis showed that the AUC for predicting VAP occurrence in trauma patients was 0.876,with a 95%CI was 0.850-0.903,a sensitivity of 86.14%,and a specificity of 75.17%,indicating that the model has a high discriminative ability.Hosmer-Lemeshow test:χ2=7.7,P=0.2,Cox&Snell R2=0.236,Nagelkerke R2=0.387,the calibration curve was very close to the diagonal,and the mean absolute error(MAE)=0.03,indicating the model's predictions were highly consistent with actual clinical observations.The DCA and CIC curves indicate that within the threshold probability of<70%,using this model to identify high-risk groups for VAP in trauma patients and making clinical decisions can provide benefits in clinical practice.Conclusion The risk prediction model of VAP in trauma patients constructed in this study has high discrimination and calibration,which can provide reference for medical personnel to identify high-risk groups of VAP among trauma patients at an early stage and provide targeted intervention measures.
8. Clinical effect of right subaxillary small incision approach on children with congenital heart disease
Penggao WANG ; Yu ZHANG ; Zhongjian CHEN ; Yazhou CUI ; Wenbo YU ; Xiangyang DONG
Chinese Journal of Applied Clinical Pediatrics 2020;35(1):41-45
Objective:
To analyze the clinical effect of right subaxillary small incision approach on children with congenital heart disease (CHD).
Methods:
Eighty-six patients with CHD admitted to Henan Children′s Hospital from January 2015 to September 2017 were enrolled in this study.The patients were randomly divided into the control group and the observation group with 43 cases each group.The control group underwent sternal median incision, and the observation group underwent right subaxillary small incision.The total effective rate, incision satisfaction, general conditions of surgery (cardiopulmonary bypass time, operation time, aortic occlusion time, intraoperative blood loss), postoperative related conditions (thoracic drainage volume, postoperative monitoring time, postoperative assisted ventilation time, hospitalization time, hospitalization expenses), Wong-Baker facial expression scale (FPS-R) score, as well as the respiratory function index including the levels of peak inspiratory pressure (PIP) and alveolar-arterial oxygen pressure difference [
9.Design and Pilot Study of Word-picture Matching Semantic Judgment Task Based on Chinese High Frequency Nouns
Jingling CHANG ; Binlong ZHANG ; Zhongjian TAN ; Ruiwen FAN ; Yufei WEI ; Yu GAO
Chinese Journal of Rehabilitation Theory and Practice 2018;24(8):917-923
Objective To explore the design of word-picture matching semantic judgment task based on Chinese high frequency nouns and further explore the way to apply the task in a functional magnetic resonance imaging (fMRI)/event-related potential (ERP) study.Methods The materials, stimuli and procedure of the word-picture matching semantic task were provided. Then, a healthy subject for the pilot study was included. In the pilot study, fMRI and ERP data of the subject were collected during the word-picture matching task. The fMRI and ERP data were analyzed to test the feasibility of the word-picture matching task in an fMRI/ERP task.Results The results of fMRI analysis showed an increased activity in the right middle frontal gyrus under the word-picture presenting condition compared with the "+" presenting condition. In addition, fMRI analysis showed an increased activity in the right middle temporal gyrus in the word-picture mismatching condition compared with the word-picture matching condition. The results of ERP analysis showed an increased activity in the left frontal/temporal area in the word-picture matching condition and an increased activity in the right frontal area in the word-picture mismatching condition.Conclusion Language associated brain regions can be identified in the fMRI/ERP research based on the word-picture matching task described in this article, which indicated that the task is effective in exploring language processing mechanism in the brain.
10.Pivotal Technology of Panax notoginseng Continuous Cropping
Zhongjian CHEN ; Fugang WEI ; Linlin DONG ; Yong WANG ; Chaoliang WANG ; Shaozhou YANG ; Yuqin SUN ; Guangfei WEI ; Lianjuan ZHANG ; Yuqi YU ; Shilin CHEN
World Science and Technology-Modernization of Traditional Chinese Medicine 2017;19(10):1629-1634
Research teams work together to solve the technical bottleneck in the Panax notoginseng industry.These research directions mainly focus on breeding of new variety,alleviating the continuous cropping obstacles,building standard system and so on.We used methods such as biotechnology,information technology and so on,to realize digitization,network and intellectualization in the process of selection of producing areas,field management,harvest storage,solved key issues of the precise selection of producing areas,variety breeding,soil improvement,fertilization management,and realized the precision and optimization of ginseng cultivation.We built the composite technology system of pollution-free notoginseng.This technology system mainly contained the breeding of new cultivar,the composite technology of soil improvement,the cultivation system of pollution-free notoginseng and quality traceability system.A new disease-resistant cultivar of notoginseng was bred,which offered feasibility for the notoginseng continuous cropping.We first presented composite improvement technology of notoginseng continuous cropping soil.This improvement technology has been used in the field.This technology system of soil restoration and improvement guaranteed notoginseng continuous cropping.A first standard system of pollution-free notoginseng was issued.It established standard of high-quality notoginseng materials.Finally,quality traceability system of notoginseng was finished,which safeguarded the controllable quality.This composite technology system offers references for the cultivation of other Chinese herbal medicines.

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