1.Real-world effectiveness of an immunosuppressant combined with different chemoth-erapy regimens in the neoadjuvant treatment of advanced gastric cancer
Che SHENGFU ; Gao ZHONGTI ; Qing HUIGUO ; Han JINGJING ; Wang KESHEN ; Li LONG ; Long BO ; Yu ZEYUAN
Chinese Journal of Clinical Oncology 2025;52(9):447-453
Objective:The aims of this study were to compare the clinical effectiveness of an immunosuppressant(sintilimab)combined with different chemotherapy regimens(two-and three-drug regimens)in the neoadjuvant treatment of advanced gastric cancer and to explore the efficacy-associated clinical features.Methods:A retrospective analysis was conducted on patients with advanced gastric cancer who re-ceived treatment at Lanzhou University Second Hospital between August 2020 and February 2024.Overall,133 patients were included in the study and assigned into groups A(three-drug regimens)and B(two-drug regimens),according to the treatment regimen received.Recent ef-ficacy outcomes,including the pathological complete response rate(pCR),major pathological response rate(MPR),objective response rate(ORR),and disease control rate(DCR),as well as long-term efficacy outcomes,including overall survival(OS)and disease-free survival(DFS),were compared.Subgroup analyses were performed to identify clinical features associated with treatment efficacy.Results:The recent effic-acy outcomes were similar between groups A(two-drug regimen)and B(three-drug regimen),with pCRs of 18.46%and 27.94%,MPRs of 52.31%and 58.82%,ORRs of 76.92%and 76.47%,and DCRs of 87.69%and 95.59%,respectively.However,the three-drug regimen led to significantly improved OS and DFS,compared with the two-drug regimen(P<0.05).Subgroup analysis revealed that male patients and those with gastric antrum cancer,an ECOG score of 0,a T4 stage tumor,and no vascular or nerve invasion benefited more from the three-drug re-gimen.Conclusions:Sintilimab combined with the three-drug chemotherapy regimen demonstrated superior long-term efficacy in the neo-adjuvant treatment of advanced gastric cancer,compared with the combination with the two-drug regimen.Certain clinical features may predict greater benefit from the three-drug regimen.
2.Dosiomics model for predicting radiation-induced temporal lobe injury in nasopharyngeal carcinoma after intensity-modulated radiotherapy
Junyi LIU ; Yang LI ; Li WANG ; Jiawei ZHOU ; Ting QIU ; Han GAO ; Yinsu ZHU ; Guanyu YANG ; Shengfu HUANG ; Xia HE ; Lirong WU
Chinese Journal of Radiation Oncology 2025;34(3):240-248
Objective:To investigate and validate the performance of a dosiomics model that utilized 3D dose distribution to forecast radiation-induced temporal lobe injury (RTLI) in nasopharyngeal carcinoma (NPC) patients following intensity-modulated radiotherapy (IMRT).Methods:Clinical data of 3578 patients diagnosed with NPC admitted to Jiangsu Cancer Hospital from January 2011 to December 2021 were retrospectively analyzed. According to the inclusion and exclusion criteria, 97 NPC patients who developed RTLI were assigned into the case group. A 1:1 propensity score matching (PSM) method was used to match 97 NPC patients without RTLI as the control group. Patients were assigned into the training cohort ( n=135) and the validation cohort ( n=59) at a 7:3 ratio by simple random method. Dosiomics features were extracted from the patients' three-dimensional dose distribution maps. Spearman rho and the least absolute shrinkage and selection operator regression were used to select dosiomics features. Clinical features were collected and screened by univariate and multivariate analyses. Eight machine learning classifiers were then trained to build dosiomics models and clinical models, respectively. The area under the ROC curve (AUC), sensitivity, and specificity were calculated to compare the predictive performance of the dosiomics and clinical models. Multivariate analysis was conducted using logistic regression to assess the influencing factors, while comparisons of the ROC curves between two different models were performed using the DeLong test. Results:A total of 1130 dosiomics features were extracted from the three-dimensional dose distribution maps, and 14 features were retained for model building after feature selection. The model based on the support vector machine (SVM) classifier achieved the highest AUC value of 0.977 (95% CI: 0.949-1.000) in the validation cohort, with an AUC of 1.000 (95% CI: 1.000-1.000) in the training cohort. By conducting univariate and multivariate analyses of the patients' clinical features, 2 clinical features were retained to build the clinical model. The model based on the SVM classifier achieved the optimal AUC value of 0.667 (95% CI: 0.523-0.810) in the validation cohort, with an AUC of 0.804 (95% CI: 0.730-0.878) in the training cohort. DeLong test showed that the difference between the dosiomics and clinical models was statistically significant ( P<0.05). Conclusion:The dosiomics model based on 3D dose distribution yields high predictive performance for RTLI in NPC patients after IMRT, which surpasses the clinical feature model, providing a new approach for early clinical prediction of RTLI.
3.Real-world effectiveness of an immunosuppressant combined with different chemoth-erapy regimens in the neoadjuvant treatment of advanced gastric cancer
Che SHENGFU ; Gao ZHONGTI ; Qing HUIGUO ; Han JINGJING ; Wang KESHEN ; Li LONG ; Long BO ; Yu ZEYUAN
Chinese Journal of Clinical Oncology 2025;52(9):447-453
Objective:The aims of this study were to compare the clinical effectiveness of an immunosuppressant(sintilimab)combined with different chemotherapy regimens(two-and three-drug regimens)in the neoadjuvant treatment of advanced gastric cancer and to explore the efficacy-associated clinical features.Methods:A retrospective analysis was conducted on patients with advanced gastric cancer who re-ceived treatment at Lanzhou University Second Hospital between August 2020 and February 2024.Overall,133 patients were included in the study and assigned into groups A(three-drug regimens)and B(two-drug regimens),according to the treatment regimen received.Recent ef-ficacy outcomes,including the pathological complete response rate(pCR),major pathological response rate(MPR),objective response rate(ORR),and disease control rate(DCR),as well as long-term efficacy outcomes,including overall survival(OS)and disease-free survival(DFS),were compared.Subgroup analyses were performed to identify clinical features associated with treatment efficacy.Results:The recent effic-acy outcomes were similar between groups A(two-drug regimen)and B(three-drug regimen),with pCRs of 18.46%and 27.94%,MPRs of 52.31%and 58.82%,ORRs of 76.92%and 76.47%,and DCRs of 87.69%and 95.59%,respectively.However,the three-drug regimen led to significantly improved OS and DFS,compared with the two-drug regimen(P<0.05).Subgroup analysis revealed that male patients and those with gastric antrum cancer,an ECOG score of 0,a T4 stage tumor,and no vascular or nerve invasion benefited more from the three-drug re-gimen.Conclusions:Sintilimab combined with the three-drug chemotherapy regimen demonstrated superior long-term efficacy in the neo-adjuvant treatment of advanced gastric cancer,compared with the combination with the two-drug regimen.Certain clinical features may predict greater benefit from the three-drug regimen.
4.Dosiomics model for predicting radiation-induced temporal lobe injury in nasopharyngeal carcinoma after intensity-modulated radiotherapy
Junyi LIU ; Yang LI ; Li WANG ; Jiawei ZHOU ; Ting QIU ; Han GAO ; Yinsu ZHU ; Guanyu YANG ; Shengfu HUANG ; Xia HE ; Lirong WU
Chinese Journal of Radiation Oncology 2025;34(3):240-248
Objective:To investigate and validate the performance of a dosiomics model that utilized 3D dose distribution to forecast radiation-induced temporal lobe injury (RTLI) in nasopharyngeal carcinoma (NPC) patients following intensity-modulated radiotherapy (IMRT).Methods:Clinical data of 3578 patients diagnosed with NPC admitted to Jiangsu Cancer Hospital from January 2011 to December 2021 were retrospectively analyzed. According to the inclusion and exclusion criteria, 97 NPC patients who developed RTLI were assigned into the case group. A 1:1 propensity score matching (PSM) method was used to match 97 NPC patients without RTLI as the control group. Patients were assigned into the training cohort ( n=135) and the validation cohort ( n=59) at a 7:3 ratio by simple random method. Dosiomics features were extracted from the patients' three-dimensional dose distribution maps. Spearman rho and the least absolute shrinkage and selection operator regression were used to select dosiomics features. Clinical features were collected and screened by univariate and multivariate analyses. Eight machine learning classifiers were then trained to build dosiomics models and clinical models, respectively. The area under the ROC curve (AUC), sensitivity, and specificity were calculated to compare the predictive performance of the dosiomics and clinical models. Multivariate analysis was conducted using logistic regression to assess the influencing factors, while comparisons of the ROC curves between two different models were performed using the DeLong test. Results:A total of 1130 dosiomics features were extracted from the three-dimensional dose distribution maps, and 14 features were retained for model building after feature selection. The model based on the support vector machine (SVM) classifier achieved the highest AUC value of 0.977 (95% CI: 0.949-1.000) in the validation cohort, with an AUC of 1.000 (95% CI: 1.000-1.000) in the training cohort. By conducting univariate and multivariate analyses of the patients' clinical features, 2 clinical features were retained to build the clinical model. The model based on the SVM classifier achieved the optimal AUC value of 0.667 (95% CI: 0.523-0.810) in the validation cohort, with an AUC of 0.804 (95% CI: 0.730-0.878) in the training cohort. DeLong test showed that the difference between the dosiomics and clinical models was statistically significant ( P<0.05). Conclusion:The dosiomics model based on 3D dose distribution yields high predictive performance for RTLI in NPC patients after IMRT, which surpasses the clinical feature model, providing a new approach for early clinical prediction of RTLI.
5.Long-term follow-up of salivary gland protection and improvement of late xerostomia by optimizing clinical target volume in IIB region of nasopharyngeal carcinoma
Jiawei ZHOU ; Li WANG ; Ting QIU ; Han GAO ; Shengfu HUANG ; Xia HE ; Lirong WU
Chinese Journal of Radiation Oncology 2023;32(9):791-797
Objective:To explore the effect of clinical target volume (CTV) optimization on long-term survival and late xerostomia of patients with nasopharyngeal carcinoma (NPC).Methods:Clinical data of 763 patients with NPC treated with intensity-modulated radiotherapy (IMRT) in the Jiangsu Cancer Hospital from January 2015 to November 2018 were retrospectively analyzed. All patients were divided into the modified and conventional CTV groups. Propensity score matching (PSM) was applied to balance the distribution of baseline features. The degree of xerostomia was evaluated by Radiation Therapy Oncology Group (RTOG) / European Organisation for Research and Treatment of Cancer (EORTC) standard and Jiangsu Cancer Hospital Multi-dimensional Radiotherapy-Induced Xerostomia scale. Survival analysis was performed by Kaplan-Meier method. The difference of xerostomia between two groups was compared by rank-sum test. The dose parameters of salivary glands were compared by independent sample t-test. Prognostic factors of survival and xerostomia were assessed by univariate / multivariate regression analyses. Results:There were no significant differences in overall survival, local recurrence-free survival, distant metastasis-free survival and progression-free survival between conventional and modified CTV groups before and after PSM. There were no significant differences in the incidence of late xerostomia above grade 2 of RTOG/EORTC standard between two groups. Using multi-dimensional scale criteria, NPC patients in the modified CTV group developed less late xerostomia than those in the conventional CTV group ( P<0.05). D mean and V 26 Gy of bilateral parotid glands, D mean and V 39 Gy of bilateral submandibular glands, and D mean of sublingual glands and mouths were reduced after optimization of CTV (all P<0.001). Univariate analysis showed that clinical staging, T staging and N staging were the independent prognostic factors of overall survival. Multivariate analysis demonstrated that clinical staging was the independent prognostic factor of overall survival. The risk factor for xerostomia during night sleep was the D mean of sublingual glands. Conclusion:The optimization of CTV in IIb region in NPC treated with IMRT can better protect salivary glands and reduce the incidence of late radiation-induced xerostomia on the premise of ensuring long-term survival.
6."Development of Key Disciplines to Promote the Construction of Research-Oriented Hospital --- Comprehensive Data Analysis on the ""Eleventh Five-Year Program""of the National TCM Clinical Research Base Construction Units"
Chao MA ; Yongjun WANG ; Shengfu YOU ; Xuejun CUI ; Ming YANG ; Jie GAO ; Ming ZHANG
World Science and Technology-Modernization of Traditional Chinese Medicine 2013;(5):1116-1120
This article elaborated the connotation and characteristics of research-oriented hospital as well as its inner connection with the development of key disciplines , based on the system dynamics model data analysis of the National TCM Clinical Research Base . It gave suggestions in increasing discipline input , strengthening personnel training , and improving achievement output to research-oriented hospital construction in order to promote the construction of research-oriented hospitals .
7."Guidance of Scientific Development Concept, Improvement of Medical and Health Service Efficiency --- Comprehensive Data Analysis on the ""Eleventh Five-Year Program""of the National TCM Clinical Research Base Construction Units"
Chao MA ; Yongjun WANG ; Shengfu YOU ; Xuejun CUI ; Ming YANG ; Jie GAO ; Ming ZHANG
World Science and Technology-Modernization of Traditional Chinese Medicine 2013;(5):1108-1115
This article took the research work of 16 national clinical research base construction units as its background in order to dig the connotation of health service efficiency . Through data envelopment analysis , a comprehensive exposition was given on the inputs and outputs relation of medical and health service efficiency in order to propose appropriate policy recommendations. The study was guided by the scientific development concept in order to gradually improve the efficiency of health services and achieve a comprehensive , coordinat-ed and sustainable development of the hospital .
8.Isolation, culturing and growth characteristics of mesenchymal stem cells from bone marrow of Rhesus monkey, Macaca mulatta.
Kun GAO ; Yanrong LU ; Shengfu LI ; Cong CONG ; Yu YUAN ; Jie ZHANG ; Jingqiu CHENG ; Hongxia LI ; Li WANG
Journal of Biomedical Engineering 2007;24(6):1343-1351
Mesenchymal stem cells from bone marrow of Rhesus monkey (RhBMSCs) were isolated by density gradient centrifugation, purified by adherence separation, and further identified by phenotype and karyotype analysis. Growth characteristics of RhBMSCs were investigated by observation of cell proliferation and detection of apoptosis. Density gradient centrifugation and adherence separation revealed a simple method to obtain fairly pure RhBMSCs. Fusiform was the most common form of cell under observation, and cell karyotype was normal. Phenotyping assay revealed that the RhBMSCs are highly positive (99.2%) for CD29 when compared with the low positive rates (less than 3.2%) for CD34, CD45 and HLA-DR, which indicated a successful isolation of high purity RhBMSCs and a vigorous activity of cells to proliferate. But the proliferation activity of RhBMSCs gradually decreased following the increasing of cell generations. The methods and results of isolation, expansion, identification and growth characteristics of RhBMSCs were discussed in this paper, which may be helpful to understanding the bone marrow mesenchymal stem cells of human, and may serve as the groundwork for orientated differentiation of RhBMSCs and tissue repairment on experimental animal model of rhesus monkey.
Animals
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Bone Marrow Cells
;
cytology
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Cell Culture Techniques
;
Cell Separation
;
Cells, Cultured
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Integrin beta1
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blood
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Macaca mulatta
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Mesenchymal Stromal Cells
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cytology
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Phenotype
9.Experimental study on the dose-response relation of myocardial protection:hyperpolarized cardioplegic arrest with nicorandil
Zhiyou ZHOU ; Hua JING ; Shijiang ZHANG ; Demin LI ; Zhongdong LI ; Jianfeng ZHOU ; Weidong GU ; Shengfu GAO
Journal of Medical Postgraduates 2001;14(2):139-142
Objectives:Dose-response effect of nicorandil cardioplegia at various concentrations was studied to optimize its myocardial protective effect.Methods:Forty-eight isolated working rat hearts were divided into 6 groups randomly.They were group A:control (depolarized cardiac arrest with St.Thomas solution No.2),group B,C,E,F and G:hyperpolarized cardiac arrest (nicorandil concentration were 25,50,100,125 and 150μmol/L respectively).The hearts underwent a 120-minute hypothermic arrest (15±1)℃ with cardioplegia (40 ml/kg) and reinfused with cardioplegia (40 ml/kg) at interval of 30 minutes.Mechanical arrest time,cardiac functional recoveries,myocardial content of malondialdehyde (MDA) and ultrastructure were measured.Results:The protective effect of nicorandil cardioplegia was dose-related.Conclusions:The optimal concentration of nicorandil in cardiplegia may be 100μmol/L for myocardial protection.
10.Protective effect of warm blood cardioplegia on ischemic rabbit myocardium
Li YANG ; Shijiang ZHANG ; Shengfu GAO ;
Chinese Journal of Clinical Pharmacology and Therapeutics 2000;0(03):-
0.05 ). GLDH was significantly higher (P 0.05 ). The value of CK MB was significantly lower (P 0.05 ). Myocardium water content in group Ⅰ was the lowest among the three groups (P 0.05 ). Myocardial ultrastructure study showed that group Ⅰ was better protected than the other two groups, and group Ⅱ better than group Ⅲ. Stereological quantitative analysis determined by calculation of mitochondria area density revealed significant differences between the three groups, in which group Ⅰ was lower than group Ⅱ (P

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