Objective:To investigate the predictive value of preoperative coagulation function and inflammation response biomarkers for postoperative recurrence of non-muscle-invasive bladder cancer (NMIBC) patients.Methods:The clinical data of 390 NMIBC patients underwent surgical treatment from May 2014 to May 2021 in the Second Affiliated Hospital of Xi′an Jiaotong University were retrospectively analyzed. The baseline characteristics coagulation function, inflammation response indexes and tumor characteristics were recorded. The baseline characteristics included gender, age and smoking history; the coagulation function included prothrombin time (PT), activated partial thromboplastin time (APTT), fibrinogen (FIB) and D-dimer; the inflammation response indexes included neutrophil count, lymphocyte count, platelet count and monocyte count, and the systemic inflammatory response index (SIRI) and systemic immune-inflammation index (SII) were calculated; tumor characteristics included TNM stage, pathological grade, tumor length, tumor amount and postoperative instillation drugs. The patients were followed up until May 2022, with recurrence records and grouping. The "pROC" package was used to draw the receiver operating characteristic (ROC) curve, and calculate the optimal cutoff values of biomarkers. Multivariate Cox regression analysis was used to analyze the independent risk factors of recurrence in patients with NMIBC (variables were selected with P<0.1). The nomogram and its calibration curve were drawn by the "survival" and "rms" packages, and the area under the curve (AUC) was calculated with the "pROC" package for assessing the predictive ability of the model. The "caret" package was used for ten-fold cross-validation to evaluate the external applicability of the nomogram. Results:The ROC curve analysis result showed that the optimal cutoff values of PT, APTT, FIB, D-dimer, SIRI and SII were 11.95 s, 17.65 s, 0.233 mg/L, 565 ng/L, 0.62 and 291.5, respectively. The 390 patients with NMIBC were followed up 29 to 71 months, with a median follow-up time of 49 months. Among them, 113 patients experienced postoperative recurrence (recurrence group), and the recurrence rate was 29.0%; while 277 patients did not experience recurrence (non-recurrence group). The rate of FIB≥0.233 mg/L, D-dimmer ≥565 ng/L, SIRI≥0.62 and SII≥291.5, T 1 stage, high-grade tumor, tumor length ≥2.3 cm and multiple tumor in recurrence group were significantly higher than those in non-recurrence group: 90.3% (102/113) vs. 71.5% (198/277), 33.6% (38/113) vs. 23.5% (65/277), 74.3% (84/113) vs. 56.7% (157/277), 84.1% (95/113) vs. 60.6% (168/277), 77.9% (88/113) vs. 38.6% (107/277), 25.7% (29/113) vs. 8.3% (23/277), 49.6% (56/113) vs. 32.1% (89/277) and 41.6% (47/113) vs. 19.9% (55/277), and there were statistical differences ( P<0.01 or <0.05); there were no statistical differences in gender ratio, age, smoking history, PT, APTT and postoperative instillation drugs between the two groups ( P>0.05). Multivariate Cox regression analysis result showed that FIB≥0.233 mg/L, SII≥291.5, T 1 stage, high pathological grade, tumor length≥2.3 cm and multiple tumor were independent risk factors of postoperative recurrence in patients with NMIBC ( HR = 2.186, 1.627, 3.182, 1.675, 1.775 and 2.052; 95% CI 1.149 to 4.159, 0.913 to 2.902, 1.988 to 5.095, 1.067 to 2.630, 1.208 to 2.608 and 1.388 to 3.033; P<0.1). A nomogram model was constructed to predict postoperative 1-, 3- and 5-year non-recurrence based on FIB, SII, T stage, tumor length, pathological grade and tumor amount. The calibration curve analysis result showed that the nomogram model predicted good consistency between the postoperative 1-, 3-, 5-year non-recurrence rates and the actual incidence rate in patients with NMIBC. ROC curve analysis result showed that the AUC of the nomogram model for predicting postoperative 1-, 3- and 5-year non-recurrence in patients with NMIBC were 0.746, 0.789 and 0.835 (95% CI 0.695 to 0.832, 0.703 to 0.875 and 0.756 to 0.915). The ten-fold cross-validation result showed that the nomogram model had good external applicability for predicting postoperative 1-, 3- and 5-year non-recurrence in patients with NMIBC, with AUC of 0.754, 0.781 and 0.832 (95% CI 0.689 to 0.817, 0.724 to 0.832 and 0.778 to 0.879). Conclusions:The nomogram model based on FIB, SII, T stage, tumor length, pathological grade and tumor amount can accurately predict the postoperative 1-, 3- and 5-year recurrence risks in patients with NMIBC. The model helps clinical doctors early identify high-risk recurrent NMIBC patients, and provides reference for the development of individualized treatment plans.

Objective:To identify the relevant factors for the first-course remission of acute myeloid leukemia (AML) and to develop a predictive model as well as assess its predictive capability.Methods:Clinical data of 749 patients newly diagnosed with AML admitted to the Department of Hematology, the First Affiliated Hospital, Zhejiang University, School of Medicine from January 1, 2019, to April 30, 2023, were collected and randomly divided into training and validation sets. Multivariate logistic regression analysis was conducted to determine variables associated with complete remission in the first course of induction therapy, and a predictive model was established based on these variables. The receiver operating characteristic (ROC) curve of the predictive model was plotted, and the area under the curve (AUC) was calculated.Results:The indicators predicting the first remission course included peripheral blood white blood cell count during onset, CBF::MYH11 fusion gene, CEBPA bZIP region mutation, myelodysplastic syndrome-related gene mutation, and induction chemotherapy regimen selection as independent factors for the first remission course. The model’s area under the training and validation curves was 0.738 (95% CI: 0.696-0.780) and 0.726 (95% CI: 0.650-0.801), respectively. The Hosmer-Lemeshow test results yielded P-values of 0.993 and 0.335, respectively. Conclusion:In this study, the developed model demonstrates a strong predictive capability for the efficacy of the first course of patients with AML, providing valuable guidance to clinicians in assessing patient prognosis and selecting appropriate treatment strategies.

Stereotactic radiotherapy is widely favored because of its high treatment precision and less fractionations.ZND-A is a new domestic gamma-ray cone-beam focused stereotactic radiotherapy system.Herein the technical characteristics of ZND-A system are described in detail from the aspects of the treatment frame,gamma-ray module,collimator module,six-dimensional treatment couch module and image-guided system module,and the main parameters are compared with the mainstream gamma knife equipments at home and abroad.With reference to Response Evaluation Criteria in Solid Tumors(RECIST 1.1),the initial efficacy of the patients treated by the ZND-A system is analyzed to evaluate the advantages and disadvantages of the ZND-A system for providing a reference for the hospital clinical use of this type of gamma knife.

Objective:To investigate the association between serum uric acid trajectories and the risk of renal function decline and diabetic kidney disease(DKD) incidence in elderly patients with type 2 diabetes mellitus.Methods:This retrospective cohort study included 5 037 elderly patients with type 2 diabetes mellitus aged 60 years and above who underwent at least three health examinations between 2019 and 2023, with 2019 as the baseline. Latent growth mixture modeling(LGMM) was employed to identify distinct serum uric acid trajectories. Renal function changes and DKD incidence were followed from 2020 to 2023. Binary logistic regression models were used to assess the association between serum uric acid trajectories and the risks of renal function decline and DKD.Results:Two distinct serum uric acid trajectory groups were identified based on model selection criteria: A stable group( n=4 485, 89.04%) and an inverted U-shaped group( n=552, 10.96%). After adjusting for potential confounders, compared with the stable trajectory group, the inverted U-shaped group showed a significantly increased risk of estimated glomerular filtration rate(eGFR) <60 mL·min -1·(1.73 m 2) -1, ≥25% decline in eGFR, doubling of serum creatinine, and DKD events, with OR(95% CI) of 1.99(1.28-3.09), 2.27(1.65-3.13), 1.52(1.09-3.02), and 1.52(1.27-1.82), respectively(all P<0.05). In addition, multivariate analysis indicated that elevated baseline serum uric acid levels were also associated with an increased risk of adverse renal outcomes and DKD incidence; However, the magnitude of the associations was lower than that observed for serum uric acid trajectory groups. Conclusions:An inverted U-shaped serum uric acid trajectory is significantly associated with an increased risk of renal function progression and DKD in elderly patients with type 2 diabetes mellitus. These findings highlight the importance of long-term dynamic monitoring of serum uric acid levels to facilitate early identification and intervention for high-risk individuals.

IL-32 is a multifunctional cytokine with both pro-inflammatory and anti-inflammatory properties.It has been proved that expression of IL-32 increases with progression of gastric mucosal diseases and severity of gastric cancer(GC),thus participating in process of gastric"inflammation-cancer"transformation.However,how IL-32 affects malignant transformation of gastric"inflamma-tion-cancer"and finally leads to adverse outcome of GC invasion and migration is still controversial.In order to better clarify regulatory effect and possible mechanism of abnormal expression of IL-32 on different histopathological stages of gastric"inflammation-cancer"transformation,and to explore new directions and breakthroughs in molecular mechanism of early truncation and treatment of gastric precancerous lesion(GPL),we searched literatures related to IL-32 in six authoritative databases at home and abroad,such as Pubmed,Web of Science and CNKI,in past 30 years.It was found that pathogenicity or protective function of IL-32 in different histo-pathological stages of gastric"inflammation-cancer"transformation depended on its different subtypes,secretory forms,surrounding cytokine environment,disease status and genetic factors.IL-32 may regulate polarization of macrophages through NF-κB,MAPK,COX2,PR3,IDO,NOD,PKCδ,FAK and STAT3,amplify or inhibit chronic inflammatory stimulation of gastric mucosa,and thus participate in process of gastric"inflammation-cancer"transformation.Our new understanding of role of IL-32 in different stages of Cor-rea cascade may contribute to development of cytokine-directed therapy,and therapy aimed at regulating different alternative splicing subtypes of IL-32 and targeting IL-32 signals can be used as a new strategy for medical treatment of GPL and GC in future.

Stereotactic radiotherapy is widely favored because of its high treatment precision and less fractionations.ZND-A is a new domestic gamma-ray cone-beam focused stereotactic radiotherapy system.Herein the technical characteristics of ZND-A system are described in detail from the aspects of the treatment frame,gamma-ray module,collimator module,six-dimensional treatment couch module and image-guided system module,and the main parameters are compared with the mainstream gamma knife equipments at home and abroad.With reference to Response Evaluation Criteria in Solid Tumors(RECIST 1.1),the initial efficacy of the patients treated by the ZND-A system is analyzed to evaluate the advantages and disadvantages of the ZND-A system for providing a reference for the hospital clinical use of this type of gamma knife.

Objective:To investigate the predictive value of preoperative coagulation function and inflammation response biomarkers for postoperative recurrence of non-muscle-invasive bladder cancer (NMIBC) patients.Methods:The clinical data of 390 NMIBC patients underwent surgical treatment from May 2014 to May 2021 in the Second Affiliated Hospital of Xi′an Jiaotong University were retrospectively analyzed. The baseline characteristics coagulation function, inflammation response indexes and tumor characteristics were recorded. The baseline characteristics included gender, age and smoking history; the coagulation function included prothrombin time (PT), activated partial thromboplastin time (APTT), fibrinogen (FIB) and D-dimer; the inflammation response indexes included neutrophil count, lymphocyte count, platelet count and monocyte count, and the systemic inflammatory response index (SIRI) and systemic immune-inflammation index (SII) were calculated; tumor characteristics included TNM stage, pathological grade, tumor length, tumor amount and postoperative instillation drugs. The patients were followed up until May 2022, with recurrence records and grouping. The "pROC" package was used to draw the receiver operating characteristic (ROC) curve, and calculate the optimal cutoff values of biomarkers. Multivariate Cox regression analysis was used to analyze the independent risk factors of recurrence in patients with NMIBC (variables were selected with P<0.1). The nomogram and its calibration curve were drawn by the "survival" and "rms" packages, and the area under the curve (AUC) was calculated with the "pROC" package for assessing the predictive ability of the model. The "caret" package was used for ten-fold cross-validation to evaluate the external applicability of the nomogram. Results:The ROC curve analysis result showed that the optimal cutoff values of PT, APTT, FIB, D-dimer, SIRI and SII were 11.95 s, 17.65 s, 0.233 mg/L, 565 ng/L, 0.62 and 291.5, respectively. The 390 patients with NMIBC were followed up 29 to 71 months, with a median follow-up time of 49 months. Among them, 113 patients experienced postoperative recurrence (recurrence group), and the recurrence rate was 29.0%; while 277 patients did not experience recurrence (non-recurrence group). The rate of FIB≥0.233 mg/L, D-dimmer ≥565 ng/L, SIRI≥0.62 and SII≥291.5, T 1 stage, high-grade tumor, tumor length ≥2.3 cm and multiple tumor in recurrence group were significantly higher than those in non-recurrence group: 90.3% (102/113) vs. 71.5% (198/277), 33.6% (38/113) vs. 23.5% (65/277), 74.3% (84/113) vs. 56.7% (157/277), 84.1% (95/113) vs. 60.6% (168/277), 77.9% (88/113) vs. 38.6% (107/277), 25.7% (29/113) vs. 8.3% (23/277), 49.6% (56/113) vs. 32.1% (89/277) and 41.6% (47/113) vs. 19.9% (55/277), and there were statistical differences ( P<0.01 or <0.05); there were no statistical differences in gender ratio, age, smoking history, PT, APTT and postoperative instillation drugs between the two groups ( P>0.05). Multivariate Cox regression analysis result showed that FIB≥0.233 mg/L, SII≥291.5, T 1 stage, high pathological grade, tumor length≥2.3 cm and multiple tumor were independent risk factors of postoperative recurrence in patients with NMIBC ( HR = 2.186, 1.627, 3.182, 1.675, 1.775 and 2.052; 95% CI 1.149 to 4.159, 0.913 to 2.902, 1.988 to 5.095, 1.067 to 2.630, 1.208 to 2.608 and 1.388 to 3.033; P<0.1). A nomogram model was constructed to predict postoperative 1-, 3- and 5-year non-recurrence based on FIB, SII, T stage, tumor length, pathological grade and tumor amount. The calibration curve analysis result showed that the nomogram model predicted good consistency between the postoperative 1-, 3-, 5-year non-recurrence rates and the actual incidence rate in patients with NMIBC. ROC curve analysis result showed that the AUC of the nomogram model for predicting postoperative 1-, 3- and 5-year non-recurrence in patients with NMIBC were 0.746, 0.789 and 0.835 (95% CI 0.695 to 0.832, 0.703 to 0.875 and 0.756 to 0.915). The ten-fold cross-validation result showed that the nomogram model had good external applicability for predicting postoperative 1-, 3- and 5-year non-recurrence in patients with NMIBC, with AUC of 0.754, 0.781 and 0.832 (95% CI 0.689 to 0.817, 0.724 to 0.832 and 0.778 to 0.879). Conclusions:The nomogram model based on FIB, SII, T stage, tumor length, pathological grade and tumor amount can accurately predict the postoperative 1-, 3- and 5-year recurrence risks in patients with NMIBC. The model helps clinical doctors early identify high-risk recurrent NMIBC patients, and provides reference for the development of individualized treatment plans.

IL-32 is a multifunctional cytokine with both pro-inflammatory and anti-inflammatory properties.It has been proved that expression of IL-32 increases with progression of gastric mucosal diseases and severity of gastric cancer(GC),thus participating in process of gastric"inflammation-cancer"transformation.However,how IL-32 affects malignant transformation of gastric"inflamma-tion-cancer"and finally leads to adverse outcome of GC invasion and migration is still controversial.In order to better clarify regulatory effect and possible mechanism of abnormal expression of IL-32 on different histopathological stages of gastric"inflammation-cancer"transformation,and to explore new directions and breakthroughs in molecular mechanism of early truncation and treatment of gastric precancerous lesion(GPL),we searched literatures related to IL-32 in six authoritative databases at home and abroad,such as Pubmed,Web of Science and CNKI,in past 30 years.It was found that pathogenicity or protective function of IL-32 in different histo-pathological stages of gastric"inflammation-cancer"transformation depended on its different subtypes,secretory forms,surrounding cytokine environment,disease status and genetic factors.IL-32 may regulate polarization of macrophages through NF-κB,MAPK,COX2,PR3,IDO,NOD,PKCδ,FAK and STAT3,amplify or inhibit chronic inflammatory stimulation of gastric mucosa,and thus participate in process of gastric"inflammation-cancer"transformation.Our new understanding of role of IL-32 in different stages of Cor-rea cascade may contribute to development of cytokine-directed therapy,and therapy aimed at regulating different alternative splicing subtypes of IL-32 and targeting IL-32 signals can be used as a new strategy for medical treatment of GPL and GC in future.

Objective:To identify the relevant factors for the first-course remission of acute myeloid leukemia (AML) and to develop a predictive model as well as assess its predictive capability.Methods:Clinical data of 749 patients newly diagnosed with AML admitted to the Department of Hematology, the First Affiliated Hospital, Zhejiang University, School of Medicine from January 1, 2019, to April 30, 2023, were collected and randomly divided into training and validation sets. Multivariate logistic regression analysis was conducted to determine variables associated with complete remission in the first course of induction therapy, and a predictive model was established based on these variables. The receiver operating characteristic (ROC) curve of the predictive model was plotted, and the area under the curve (AUC) was calculated.Results:The indicators predicting the first remission course included peripheral blood white blood cell count during onset, CBF::MYH11 fusion gene, CEBPA bZIP region mutation, myelodysplastic syndrome-related gene mutation, and induction chemotherapy regimen selection as independent factors for the first remission course. The model’s area under the training and validation curves was 0.738 (95% CI: 0.696-0.780) and 0.726 (95% CI: 0.650-0.801), respectively. The Hosmer-Lemeshow test results yielded P-values of 0.993 and 0.335, respectively. Conclusion:In this study, the developed model demonstrates a strong predictive capability for the efficacy of the first course of patients with AML, providing valuable guidance to clinicians in assessing patient prognosis and selecting appropriate treatment strategies.

Objective:To investigate the association between serum uric acid trajectories and the risk of renal function decline and diabetic kidney disease(DKD) incidence in elderly patients with type 2 diabetes mellitus.Methods:This retrospective cohort study included 5 037 elderly patients with type 2 diabetes mellitus aged 60 years and above who underwent at least three health examinations between 2019 and 2023, with 2019 as the baseline. Latent growth mixture modeling(LGMM) was employed to identify distinct serum uric acid trajectories. Renal function changes and DKD incidence were followed from 2020 to 2023. Binary logistic regression models were used to assess the association between serum uric acid trajectories and the risks of renal function decline and DKD.Results:Two distinct serum uric acid trajectory groups were identified based on model selection criteria: A stable group( n=4 485, 89.04%) and an inverted U-shaped group( n=552, 10.96%). After adjusting for potential confounders, compared with the stable trajectory group, the inverted U-shaped group showed a significantly increased risk of estimated glomerular filtration rate(eGFR) <60 mL·min -1·(1.73 m 2) -1, ≥25% decline in eGFR, doubling of serum creatinine, and DKD events, with OR(95% CI) of 1.99(1.28-3.09), 2.27(1.65-3.13), 1.52(1.09-3.02), and 1.52(1.27-1.82), respectively(all P<0.05). In addition, multivariate analysis indicated that elevated baseline serum uric acid levels were also associated with an increased risk of adverse renal outcomes and DKD incidence; However, the magnitude of the associations was lower than that observed for serum uric acid trajectory groups. Conclusions:An inverted U-shaped serum uric acid trajectory is significantly associated with an increased risk of renal function progression and DKD in elderly patients with type 2 diabetes mellitus. These findings highlight the importance of long-term dynamic monitoring of serum uric acid levels to facilitate early identification and intervention for high-risk individuals.