1.Epidemiological characteristics of a 2019-nCoV outbreak caused by Omicron variant BF.7 in Shenzhen.
Yan Peng CHENG ; Dong Feng KONG ; Jia ZHANG ; Zi Quan LYU ; Zhi Gao CHEN ; Hua Wei XIONG ; Yan LU ; Qing Shan LUO ; Qiu Ying LYU ; Jin ZHAO ; Ying WEN ; Jia WAN ; Fang Fang LU ; Jian Hua LU ; Xuan ZOU ; Zhen ZHANG
Chinese Journal of Epidemiology 2023;44(3):379-385
		                        		
		                        			
		                        			Objective: To explore the epidemiological characteristic of a COVID-19 outbreak caused by 2019-nCoV Omicron variant BF.7 and other provinces imported in Shenzhen and analyze transmission chains and characteristics. Methods: Field epidemiological survey was conducted to identify the transmission chain, analyze the generation relationship among the cases. The 2019-nCoV nucleic acid positive samples were used for gene sequencing. Results: From 8 to 23 October, 2022, a total of 196 cases of COVID-19 were reported in Shenzhen, all the cases had epidemiological links. In the cases, 100 were men and 96 were women, with a median of age, M (Q1, Q3) was 33(25, 46) years. The outbreak was caused by traverlers initial cases infected with 2019-nCoV who returned to Shenzhen after traveling outside of Guangdong Province.There were four transmission chains, including the transmission in place of residence and neighbourhood, affecting 8 persons, transmission in social activity in the evening on 7 October, affecting 65 persons, transmission in work place on 8 October, affecting 48 persons, and transmission in a building near the work place, affecting 74 persons. The median of the incubation period of the infection, M (Q1, Q3) was 1.44 (1.11, 2.17) days. The incubation period of indoor exposure less than that of the outdoor exposure, M (Q1, Q3) was 1.38 (1.06, 1.84) and 1.95 (1.22, 2.99) days, respcetively (Wald χ2=10.27, P=0.001). With the increase of case generation, the number and probability of gene mutation increased. In the same transmission chain, the proportion of having 1-3 mutation sites was high in the cases in the first generation. Conclusions: The transmission chains were clear in this epidemic. The incubation period of Omicron variant BF.7 infection was shorter, the transmission speed was faster, and the gene mutation rate was higher. It is necessary to conduct prompt response and strict disease control when epidemic occurs.
		                        		
		                        		
		                        		
		                        			Male
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			SARS-CoV-2
		                        			;
		                        		
		                        			COVID-19/epidemiology*
		                        			;
		                        		
		                        			Disease Outbreaks
		                        			;
		                        		
		                        			Epidemics
		                        			;
		                        		
		                        			China/epidemiology*
		                        			
		                        		
		                        	
2.Efficacy of partial nephrectomy in patients with localized renal carcinoma: a 20-year experience of 2 046 patients in a single center.
Xiang Peng ZOU ; Kang NING ; Zhi Ling ZHANG ; Long Bin XIONG ; Yu Lu PENG ; Zhao Hui ZHOU ; Yi Xin HUANG ; Xin LUO ; Ji Bin LI ; Pei DONG ; Sheng Jie GUO ; Hui HAN ; Fang Jian ZHOU
Chinese Journal of Surgery 2023;61(5):395-402
		                        		
		                        			
		                        			Objectives: To analyze the long-term survival of patients with localized renal cell carcinoma after partical nephrectomy. Methods: The clinicopathological records and survival follow-up data of 2 046 patients with localized renal cell carcinoma, who were treated with partial nephrectomy from August 2001 to February 2021 in the Department of Urology, Sun Yat-sen University Cancer Center, were retrospectively analyzed. There were 1 402 males and 644 females, aged (M(IQR)) 51 (19) years (range: 6 to 86 years). The primary end point of this study was cancer-specific survival. Survival curves were estimated using the Kaplan-Meier method, and the difference test was performed by Log-rank test. Univariate and multivariate Cox analysis were fitted to determine factors associated with cancer-specific survival. Results: The follow-up time was 49.2 (48.0) months (range: 1 to 229 months), with 1 974 patients surviving and 72 dying. The median cancer-specific survival time has not yet been reached. The 5- and 10-year cancer specific survival rates were 97.0% and 91.2%, respectively. The 10-year cancer-specific survival rates for stage pT1a (n=1 447), pT1b (n=523) and pT2 (n=58) were 95.3%, 81.8%, and 81.7%, respectively. The 10-year cancer-specific survival rates of patients with nuclear grade 1 (n=226), 2 (n=1 244) and 3 to 4 (n=278) were 96.6%, 89.4%, and 85.5%, respectively. There were no significant differences in 5-year cancer-specific survival rates among patients underwent open, laparoscopic, or robotic surgery (96.7% vs. 97.1% vs. 97.5%, P=0.600). Multivariate analysis showed that age≥50 years (HR=3.93, 95%CI: 1.82 to 8.47, P<0.01), T stage (T1b vs. T1a: HR=3.31, 95%CI: 1.83 to 5.99, P<0.01; T2+T3 vs. T1a: HR=2.88, 95%CI: 1.00 to 8.28, P=0.049) and nuclear grade (G3 to 4 vs. G1: HR=2.81, 95%CI: 1.01 to 7.82, P=0.048) were independent prognostic factors of localized renal cell carcinoma after partial nephrectomy. Conclusions: The long-term cancer-specific survival rates of patients with localized renal cancer after partial nephrectomy are satisfactory. The type of operation (open, laparoscopic, or robotic) has no significant effect on survival. However, patients with older age, higher nuclear grade, and higher T stage have a lower cancer-specific survival rate. Grasping surgical indications, attaching importance to preoperative evaluation, perioperative management, and postoperative follow-up, could benefit achieving satisfactory long-term survival.
		                        		
		                        		
		                        		
		                        	
3.Pharmacokinetics of Recombinant Human Coagulation Factor Ⅷ Preparations in Patients with Severe Hemophilia A.
Chuan-Ming LIN ; Zou-Fang HUANG ; Liu-Yan XIN ; Lin LI ; Xiang YANG ; Ting LI ; Yi-Jian CHEN
Journal of Experimental Hematology 2023;31(6):1787-1790
		                        		
		                        			OBJECTIVE:
		                        			To calculate the pharmacokinetic parameters of recombinant human coagulation factor Ⅷ using myPKFiT in patients with severe hemophilia A, and provide an individualized treatment plan for patients.
		                        		
		                        			METHODS:
		                        			A total of 42 patients with severe hemophilia A who were treated with recombinant human coagulation factor Ⅷ were included from January 2021 to December 2021. myPKFiT was used to calculate the pharmacokinetic parameters of FⅧ, and the individualized treatment plan for hemophilia A patients was formulated.
		                        		
		                        			RESULTS:
		                        			The median age of 42 patients with severe hemophilia A was 31(16-50) years old, the average weight was 54.0±9.9 kg, the half-life of FⅧ was 12.05±1.6 h, the time to more than 1% of the baseline was 62.3±15.3 h, and the 0 bleeding rate after the guidance of myPKFiT was significantly increased from 39% to 49%, the Annual bleeding rate was reduced from 3.6±2.5 to 2.1±2.0, and the Annual joint bleeding rate was reduced from 3.2±2.2 to 1.9±0.9, all of which were statistically different (P<0.05).
		                        		
		                        			CONCLUSION
		                        			Individualized therapy in patients with severe hemophilia A who were guided by myPKFiT assay of pharmacokinetics parameters can significantly reduce the annual bleeding rate and annual joint bleeding rate of patients.
		                        		
		                        		
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Blood Coagulation Factors
		                        			;
		                        		
		                        			Factor VIII/pharmacokinetics*
		                        			;
		                        		
		                        			Hemophilia A
		                        			;
		                        		
		                        			Hemorrhage
		                        			;
		                        		
		                        			Recombinant Proteins/pharmacokinetics*
		                        			;
		                        		
		                        			Adolescent
		                        			;
		                        		
		                        			Young Adult
		                        			
		                        		
		                        	
4.Recommendations for prescription review of commonly used anti-seizure medications in treatment of children with epilepsy
Qianqian QIN ; Qian DING ; Xiaoling LIU ; Heping CAI ; Zebin CHEN ; Lina HAO ; Liang HUANG ; Yuntao JIA ; Lingyan JIAN ; Zhong LI ; Hua LIANG ; Maochang LIU ; Qinghong LU ; Xiaolan MO ; Jing MIAO ; Yanli REN ; Huajun SUN ; Yanyan SUN ; Jing XU ; Meixing YAN ; Li YANG ; Shengnan ZHANG ; Shunguo ZHANG ; Xin ZHAO ; Jie DENG ; Fang FANG ; Li GAO ; Hong HAN ; Shaoping HUANG ; Li JIANG ; Baomin LI ; Jianmin LIANG ; Jianxiang LIAO ; Zhisheng LIU ; Rong LUO ; Jing PENG ; Dan SUN ; Hua WANG ; Ye WU ; Jian YANG ; Yuqin ZHANG ; Jianmin ZHONG ; Shuizhen ZHOU ; Liping ZOU ; Yuwu JIANG ; Xiaoling WANG
Chinese Journal of Applied Clinical Pediatrics 2023;38(10):740-748
		                        		
		                        			
		                        			Anti-seizure medications (ASMs) are the main therapy for epilepsy.There are many kinds of ASMs with complex mechanism of action, so it is difficult for pharmacists to examine prescriptions.This paper put forward some suggestions on the indications, dosage forms/routes of administration, appropriateness of usage and dosage, combined medication and drug interaction, long-term prescription review, individual differences in pathophysiology of children, and drug selection when complicated with common epilepsy, for the reference of doctors and pharmacists.
		                        		
		                        		
		                        		
		                        	
5.Alirocumab in the treatment of hypercholesterolemia:a rapid health technology assessment
Jian-Cheng ZHOU ; Chun-Mei JI ; Wen-Tong FANG ; Ying ZOU ; Yong-Qing WANG ; Yuan-Yuan FU
Chinese Journal of Pharmacoepidemiology 2023;32(12):1388-1400
		                        		
		                        			
		                        			Objective To evaluate the efficacy,safety and cost-effectiveness of alirocumab for the treatment of hypercholesterolemia in a rapid health technology assessment(rHTA).Methods PubMed,Embase,Cochrane Library,CNKI,WanFang Data and health technology assessment(HTA)relative websites were electronically searched to collect HTA reports,systematic reviews/Meta-analyses and pharmacoeconomic literatures on the alirocumab for the treatment of hypercholesterolemia from inception to August 14th,2022.Two reviewers independently screened the literature,extracted the data results and accessed the quality of included studies.Descriptive analysis and summary were then performed.Results A total of 38 documents were included,including 28 systematic reviews/Meta analyses,7 pharmacoeconomic studies and 3 HTA reports.This study showed that,compared with placebo or other lipid lowering therapy,alirocumab lowered the levels of LDL-C,Lp(a),TC,TG,Apo B,non-HDL-C,increased the levels of HDL-C and Apo A1,reduced the risk of major adverse cardiovascular events(MACE),all-cause mortality,cerebrovascular events,and unstable angina,but did not reduce cardiovascular death,myocardial infarction or coronary revascularization.Safety studies showed that,compared with placebo or other lipid lowering therapy,alirocumab did not increase the risk of other adverse reactions but associated with higher injection site reactions.Pharmacoeconomic studies showed that alirocumab was cost-effective in patients with three branch coronary artery disease and acute coronary syndrome with LDL-C≥2.59 mmol·L-1.Conclusion Alirocumab is effective and safe for the treatment of hypercholesterolemia,and cost-effective for the patients of coronary arteriosclerotic heart disease with multi-vessel disease or with high base-line level of LDL-C.
		                        		
		                        		
		                        		
		                        	
6.Establishment and validation of a novel nomogram to predict overall survival after radical nephrectomy.
Long Bin XIONG ; Xiang Peng ZOU ; Kang NING ; Xin LUO ; Yu Lu PENG ; Zhao Hui ZHOU ; Jun WANG ; Zhen LI ; Chun Ping YU ; Pei DONG ; Sheng Jie GUO ; Hui HAN ; Fang Jian ZHOU ; Zhi Ling ZHANG
Chinese Journal of Oncology 2023;45(8):681-689
		                        		
		                        			
		                        			Objective: To establish a nomogram prognostic model for predicting the 5-, 10-, and 15-year overall survival (OS) of non-metastatic renal cell carcinoma patients managed with radical nephrectomy (RN), compare the modelled results with the results of pure pathologic staging, the Karakiewicz nomogram and the Mayo Clinic Stage, Size, Grade, and Necrosis (SSIGN) score commonly used in foreign countries, and stratify the patients into different prognostic risk subgroups. Methods: A total of 1 246 non-metastatic renal cell carcinoma patients managed with RN in Sun Yat-sen University Cancer Center (SYSUCC) from 1999 to 2020 were retrospectively analyzed. Multivariate Cox regression analysis was used to screen the variables that influence the prognosis for nomogram establishment, and the bootstrap random sampling was used for internal validation. The time-receiver operating characteristic curve (ROC), the calibration curve and the clinical decision curve analysis (DCA) were applied to evaluate the nomogram. The prediction efficacy of the nomogram and that of the pure pathologic staging, the Karakiewicz nomogram and the SSIGN score was compared through the area under the curve (AUC). Finally, patients were stratified into different risk subgroups according to our nomogram scores. Results: A total of 1 246 patients managed with RN were enrolled in this study. Multivariate Cox regression analysis showed that age, smoking history, pathological nuclear grade, sarcomatoid differentiation, tumor necrosis and pathological T and N stages were independent prognostic factors for RN patients (all P<0.05). A nomogram model named SYSUCC based on these factors was built to predict the 5-, 10-, and 15-year survival rate of the participating patients. In the bootstrap random sampling with 1 000 iterations, all these factors occurred for more than 800 times as independent predictors. The Harrell's concordance index (C-index) of SYSUCC was higher compared with pure pathological staging [0.770 (95% CI: 0.716-0.823) vs 0.674 (95% CI: 0.621-0.728)]. The calibration curve showed that the survival rate as predicted by the SYSUCC model simulated the actual rate, while the clinical DCA showed that the SYSUCC nomogram has a benefit in certain probability ranges. In the ROC analysis that included 857 patients with detailed pathological nuclear stages, the nomogram had a larger AUC (5-/10-year AUC: 0.823/0.804) and better discriminating ability than pure pathological staging (5-/10-year AUC: 0.701/0.658), Karakiewicz nomogram (5-/10-year AUC: 0.772/0.734) and SSIGN score (5-/10-year AUC: 0.792/0.750) in predicting the 5-/10-year OS of RN patients (all P<0.05). In addition, the AUC of the SYSUCC nomogram for predicting the 15-year OS (0.820) was larger than that of the SSIGN score (0.709), and there was no statistical difference (P<0.05) between the SYSUCC nomogram, pure pathological staging (0.773) and the Karakiewicz nomogram (0.826). The calibration curve was close to the standard curve, which indicated that the model has good predictive performance. Finally, patients were stratified into low-, intermediate-, and high-risk subgroups (738, 379 and 129, respectively) according to the SYSUCC nomogram scores, among whom patients in intermediate- and high-risk subgroups had a worse OS than patients in the low-risk subgroup (intermediate-risk group vs. low-risk group: HR=4.33, 95% CI: 3.22-5.81, P<0.001; high-risk group vs low-risk group: HR=11.95, 95% CI: 8.29-17.24, P<0.001), and the high-risk subgroup had a worse OS than the intermediate-risk group (HR=2.63, 95% CI: 1.88-3.68, P<0.001). Conclusions: Age, smoking history, pathological nuclear grade, sarcomatoid differentiation, tumor necrosis and pathological stage were independent prognostic factors for non-metastasis renal cell carcinoma patients after RN. The SYSUCC nomogram based on these independent prognostic factors can better predict the 5-, 10-, and 15-year OS than pure pathological staging, the Karakiewicz nomogram and the SSIGN score of patients after RN. In addition, the SYSUCC nomogram has good discrimination, agreement, risk stratification and clinical application potential.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Nomograms
		                        			;
		                        		
		                        			Retrospective Studies
		                        			;
		                        		
		                        			Carcinoma, Renal Cell/pathology*
		                        			;
		                        		
		                        			Prognosis
		                        			;
		                        		
		                        			Risk Factors
		                        			;
		                        		
		                        			Nephrectomy
		                        			;
		                        		
		                        			Kidney Neoplasms/pathology*
		                        			;
		                        		
		                        			Necrosis
		                        			
		                        		
		                        	
7.Long-term survival analysis of 1 367 patients treated with radical nephrectomy from a single center.
Xiang Peng ZOU ; Kang NING ; Zhi Ling ZHANG ; Ling ZOU ; Long Bin XIONG ; Yu Lu PENG ; Zhao Hui ZHOU ; Hui Ming LIU ; Chun Ping YU ; Pei DONG ; Sheng Jie GUO ; Hui HAN ; Fang Jian ZHOU
Chinese Journal of Oncology 2023;45(11):981-987
		                        		
		                        			
		                        			Objective: To report the long-term survival of renal cell carcinoma (RCC) patients treated with radical nephrectomy in Sun Yat-sen University Cancer Center. Methods: We retrospectively analyzed the clinical, pathological and follow-up records of 1 367 non-metastatic RCC patients treated with radical nephrectomy from 1999 to 2020 in this center. The primary endpoint of this study was overall survival rate. Survival curves were estimated using the Kaplan-Meier method, and group differences were compared through Log-rank test. Univariate and multivariate Cox analysis were fit to determine the clinical and pathological features associated with overall survival rate. Results: A total of 1 367 patients treated with radical nephrectomy with complete follow-up data were included in the study. The median follow-up time was 52.6 months, and 1 100 patients survived and 267 died, with the median time to overall survival not yet reached. The 5-year and 10-year overall survival rates were 82.8% and 74.9%, respectively. The 5-year and 10-year overall survival rates of Leibovich low-risk patients were 93.3% and 88.2%, respectively; of Leibovich intermediate-risk patients were 82.2% and 72.3%, respectively; and of Leibovich high-risk patients were 50.5% and 30.2%, respectively. There were significant differences in the long-term survival among the three groups (P<0.001). The 10-year overall survival rates for patients with pT1, pT2, pT3 and pT4 RCC were 83.2%, 73.6%, 55.0% and 31.4%, respectively. There were significant differences among pT1, pT2, pT3 and pT4 patients(P<0.001). The 5-year and 10-year overall survival rates of patients with lymph node metastasis were 48.5% and 35.6%, respectively, and those of patients without lymph node metastasis were 85.1% and 77.5%, respectively. There was significant difference in the long-term survival between patients with lymph node metastasis and without lymph node metastasis. The 10-year overall survival rate was 96.2% for nuclear Grade 1, 81.6% for nuclear Grade 2, 60.5% for nuclear Grade 3, and 43.4% for nuclear Grade 4 patients. The difference was statistically significant. There was no significant difference in the long-term survival between patients with localized renal cancer (pT1-2N0M0) who underwent open surgery and minimally invasive surgery (10-year overall survival rate 80.5% vs 85.6%, P=0.160). Multivariate Cox analysis showed that age≥55 years (HR=2.11, 95% CI: 1.50-2.96, P<0.001), T stage(T3+ T4 vs T1a: HR=2.37, 95% CI: 1.26-4.46, P=0.008), local lymph node metastasis (HR=3.04, 95%CI: 1.81-5.09, P<0.001), nuclear grade (G3-G4 vs G1: HR=4.21, 95%CI: 1.51-11.75, P=0.006), tumor necrosis (HR=1.66, 95% CI: 1.17-2.37, P=0.005), sarcomatoid differentiation (HR=2.39, 95% CI: 1.31-4.35, P=0.005) and BMI≥24kg/m(2) (HR=0.56, 95%CI: 0.39-0.80, P=0.001) were independent factors affecting long-term survival after radical nephrectomy. Conclusions: The long-term survival of radical nephrectomy in patients with renal cell carcinoma is satisfactory. Advanced age, higher pathological stage and grade, tumor necrosis and sarcomatoid differentiation were the main adverse factors affecting the prognosis of patients. Higher body mass index was a protective factor for the prognosis of patients.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Carcinoma, Renal Cell/secondary*
		                        			;
		                        		
		                        			Lymphatic Metastasis
		                        			;
		                        		
		                        			Retrospective Studies
		                        			;
		                        		
		                        			Neoplasm Staging
		                        			;
		                        		
		                        			Kidney Neoplasms/pathology*
		                        			;
		                        		
		                        			Prognosis
		                        			;
		                        		
		                        			Nephrectomy
		                        			;
		                        		
		                        			Survival Analysis
		                        			;
		                        		
		                        			Necrosis/surgery*
		                        			;
		                        		
		                        			Survival Rate
		                        			
		                        		
		                        	
8.Establishment and validation of a novel nomogram to predict overall survival after radical nephrectomy.
Long Bin XIONG ; Xiang Peng ZOU ; Kang NING ; Xin LUO ; Yu Lu PENG ; Zhao Hui ZHOU ; Jun WANG ; Zhen LI ; Chun Ping YU ; Pei DONG ; Sheng Jie GUO ; Hui HAN ; Fang Jian ZHOU ; Zhi Ling ZHANG
Chinese Journal of Oncology 2023;45(8):681-689
		                        		
		                        			
		                        			Objective: To establish a nomogram prognostic model for predicting the 5-, 10-, and 15-year overall survival (OS) of non-metastatic renal cell carcinoma patients managed with radical nephrectomy (RN), compare the modelled results with the results of pure pathologic staging, the Karakiewicz nomogram and the Mayo Clinic Stage, Size, Grade, and Necrosis (SSIGN) score commonly used in foreign countries, and stratify the patients into different prognostic risk subgroups. Methods: A total of 1 246 non-metastatic renal cell carcinoma patients managed with RN in Sun Yat-sen University Cancer Center (SYSUCC) from 1999 to 2020 were retrospectively analyzed. Multivariate Cox regression analysis was used to screen the variables that influence the prognosis for nomogram establishment, and the bootstrap random sampling was used for internal validation. The time-receiver operating characteristic curve (ROC), the calibration curve and the clinical decision curve analysis (DCA) were applied to evaluate the nomogram. The prediction efficacy of the nomogram and that of the pure pathologic staging, the Karakiewicz nomogram and the SSIGN score was compared through the area under the curve (AUC). Finally, patients were stratified into different risk subgroups according to our nomogram scores. Results: A total of 1 246 patients managed with RN were enrolled in this study. Multivariate Cox regression analysis showed that age, smoking history, pathological nuclear grade, sarcomatoid differentiation, tumor necrosis and pathological T and N stages were independent prognostic factors for RN patients (all P<0.05). A nomogram model named SYSUCC based on these factors was built to predict the 5-, 10-, and 15-year survival rate of the participating patients. In the bootstrap random sampling with 1 000 iterations, all these factors occurred for more than 800 times as independent predictors. The Harrell's concordance index (C-index) of SYSUCC was higher compared with pure pathological staging [0.770 (95% CI: 0.716-0.823) vs 0.674 (95% CI: 0.621-0.728)]. The calibration curve showed that the survival rate as predicted by the SYSUCC model simulated the actual rate, while the clinical DCA showed that the SYSUCC nomogram has a benefit in certain probability ranges. In the ROC analysis that included 857 patients with detailed pathological nuclear stages, the nomogram had a larger AUC (5-/10-year AUC: 0.823/0.804) and better discriminating ability than pure pathological staging (5-/10-year AUC: 0.701/0.658), Karakiewicz nomogram (5-/10-year AUC: 0.772/0.734) and SSIGN score (5-/10-year AUC: 0.792/0.750) in predicting the 5-/10-year OS of RN patients (all P<0.05). In addition, the AUC of the SYSUCC nomogram for predicting the 15-year OS (0.820) was larger than that of the SSIGN score (0.709), and there was no statistical difference (P<0.05) between the SYSUCC nomogram, pure pathological staging (0.773) and the Karakiewicz nomogram (0.826). The calibration curve was close to the standard curve, which indicated that the model has good predictive performance. Finally, patients were stratified into low-, intermediate-, and high-risk subgroups (738, 379 and 129, respectively) according to the SYSUCC nomogram scores, among whom patients in intermediate- and high-risk subgroups had a worse OS than patients in the low-risk subgroup (intermediate-risk group vs. low-risk group: HR=4.33, 95% CI: 3.22-5.81, P<0.001; high-risk group vs low-risk group: HR=11.95, 95% CI: 8.29-17.24, P<0.001), and the high-risk subgroup had a worse OS than the intermediate-risk group (HR=2.63, 95% CI: 1.88-3.68, P<0.001). Conclusions: Age, smoking history, pathological nuclear grade, sarcomatoid differentiation, tumor necrosis and pathological stage were independent prognostic factors for non-metastasis renal cell carcinoma patients after RN. The SYSUCC nomogram based on these independent prognostic factors can better predict the 5-, 10-, and 15-year OS than pure pathological staging, the Karakiewicz nomogram and the SSIGN score of patients after RN. In addition, the SYSUCC nomogram has good discrimination, agreement, risk stratification and clinical application potential.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Nomograms
		                        			;
		                        		
		                        			Retrospective Studies
		                        			;
		                        		
		                        			Carcinoma, Renal Cell/pathology*
		                        			;
		                        		
		                        			Prognosis
		                        			;
		                        		
		                        			Risk Factors
		                        			;
		                        		
		                        			Nephrectomy
		                        			;
		                        		
		                        			Kidney Neoplasms/pathology*
		                        			;
		                        		
		                        			Necrosis
		                        			
		                        		
		                        	
9.Long-term survival analysis of 1 367 patients treated with radical nephrectomy from a single center.
Xiang Peng ZOU ; Kang NING ; Zhi Ling ZHANG ; Ling ZOU ; Long Bin XIONG ; Yu Lu PENG ; Zhao Hui ZHOU ; Hui Ming LIU ; Chun Ping YU ; Pei DONG ; Sheng Jie GUO ; Hui HAN ; Fang Jian ZHOU
Chinese Journal of Oncology 2023;45(11):981-987
		                        		
		                        			
		                        			Objective: To report the long-term survival of renal cell carcinoma (RCC) patients treated with radical nephrectomy in Sun Yat-sen University Cancer Center. Methods: We retrospectively analyzed the clinical, pathological and follow-up records of 1 367 non-metastatic RCC patients treated with radical nephrectomy from 1999 to 2020 in this center. The primary endpoint of this study was overall survival rate. Survival curves were estimated using the Kaplan-Meier method, and group differences were compared through Log-rank test. Univariate and multivariate Cox analysis were fit to determine the clinical and pathological features associated with overall survival rate. Results: A total of 1 367 patients treated with radical nephrectomy with complete follow-up data were included in the study. The median follow-up time was 52.6 months, and 1 100 patients survived and 267 died, with the median time to overall survival not yet reached. The 5-year and 10-year overall survival rates were 82.8% and 74.9%, respectively. The 5-year and 10-year overall survival rates of Leibovich low-risk patients were 93.3% and 88.2%, respectively; of Leibovich intermediate-risk patients were 82.2% and 72.3%, respectively; and of Leibovich high-risk patients were 50.5% and 30.2%, respectively. There were significant differences in the long-term survival among the three groups (P<0.001). The 10-year overall survival rates for patients with pT1, pT2, pT3 and pT4 RCC were 83.2%, 73.6%, 55.0% and 31.4%, respectively. There were significant differences among pT1, pT2, pT3 and pT4 patients(P<0.001). The 5-year and 10-year overall survival rates of patients with lymph node metastasis were 48.5% and 35.6%, respectively, and those of patients without lymph node metastasis were 85.1% and 77.5%, respectively. There was significant difference in the long-term survival between patients with lymph node metastasis and without lymph node metastasis. The 10-year overall survival rate was 96.2% for nuclear Grade 1, 81.6% for nuclear Grade 2, 60.5% for nuclear Grade 3, and 43.4% for nuclear Grade 4 patients. The difference was statistically significant. There was no significant difference in the long-term survival between patients with localized renal cancer (pT1-2N0M0) who underwent open surgery and minimally invasive surgery (10-year overall survival rate 80.5% vs 85.6%, P=0.160). Multivariate Cox analysis showed that age≥55 years (HR=2.11, 95% CI: 1.50-2.96, P<0.001), T stage(T3+ T4 vs T1a: HR=2.37, 95% CI: 1.26-4.46, P=0.008), local lymph node metastasis (HR=3.04, 95%CI: 1.81-5.09, P<0.001), nuclear grade (G3-G4 vs G1: HR=4.21, 95%CI: 1.51-11.75, P=0.006), tumor necrosis (HR=1.66, 95% CI: 1.17-2.37, P=0.005), sarcomatoid differentiation (HR=2.39, 95% CI: 1.31-4.35, P=0.005) and BMI≥24kg/m(2) (HR=0.56, 95%CI: 0.39-0.80, P=0.001) were independent factors affecting long-term survival after radical nephrectomy. Conclusions: The long-term survival of radical nephrectomy in patients with renal cell carcinoma is satisfactory. Advanced age, higher pathological stage and grade, tumor necrosis and sarcomatoid differentiation were the main adverse factors affecting the prognosis of patients. Higher body mass index was a protective factor for the prognosis of patients.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Carcinoma, Renal Cell/secondary*
		                        			;
		                        		
		                        			Lymphatic Metastasis
		                        			;
		                        		
		                        			Retrospective Studies
		                        			;
		                        		
		                        			Neoplasm Staging
		                        			;
		                        		
		                        			Kidney Neoplasms/pathology*
		                        			;
		                        		
		                        			Prognosis
		                        			;
		                        		
		                        			Nephrectomy
		                        			;
		                        		
		                        			Survival Analysis
		                        			;
		                        		
		                        			Necrosis/surgery*
		                        			;
		                        		
		                        			Survival Rate
		                        			
		                        		
		                        	
10.Research progress on liposome and nanomicelle targeted drug delivery system across blood-brain barrier.
Xu YANG ; Ling-Hui ZOU ; Wen-Ya DING ; Zhong-Bin ZHANG ; Jin-Qing CHEN ; Ji-Lang LI ; Hong-Li FENG ; Yu-Yang LI ; Ling TANG ; Jian-Fang FENG
China Journal of Chinese Materia Medica 2022;47(22):5965-5977
		                        		
		                        			
		                        			The blood-brain barrier(BBB), a protective barrier between brain tissues and brain capillaries, can prevent drugs from entering the brain tissues to exert the effect, which greatly increases the difficulty in treating brain diseases. The drug delivery system across the BBB can allow efficient drug delivery across the BBB by virtue of carriers and formulations, thereby enhancing the therapeutic effect of drugs on brain tissue diseases. Liposomes and micelles have been extensively studied with advances in the targeted therapy across the BBB for the brain due to their unique structures and drug delivery advantages. This study summarized the research status of liposome and micelle drug delivery systems across the BBB based on the literature in recent years and analyzed their application advantages and mechanism in terms of trans-BBB capability, targeting, and safety. Moreover, the problems and possible countermeasures in the research on trans-BBB liposomes and micelles were discussed according to the current clinical translation, which may provide refe-rences and ideas for the development of trans-BBB targeted nano-drugs.
		                        		
		                        		
		                        		
		                        			Humans
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		                        			Blood-Brain Barrier
		                        			;
		                        		
		                        			Liposomes
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		                        			Micelles
		                        			;
		                        		
		                        			Drug Delivery Systems
		                        			;
		                        		
		                        			Biological Transport
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		                        			Brain
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		                        			Brain Diseases
		                        			
		                        		
		                        	
            
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