1.Effects of α-hederin alone or in combination with cisplatin on the proliferation and apoptosis of non-small cell lung cancer cells based on EGFR/AKT and JAK2/STAT3 pathways
ZHU Zhiminga ; WANG Sumeib ; TANG Qingb ; WANG Xib ; WAN Xinliangb ; MO Handanb ; JIA Luyub ; YU Xiaoyanb ; ZHOU Qichunb
Chinese Journal of Cancer Biotherapy 2024;31(4):333-341
		                        		
		                        			
		                        			[摘  要]  目的:探讨α-常春藤皂苷(α-Hed)诱导非小细胞肺癌(NSCLC)细胞凋亡的作用靶点及其潜在机制,明确α-Hed与顺铂(DDP)联用后对相应的靶点蛋白表达的影响。方法:采用CCK-8法检测不同浓度α-Hed处理后NSCLC细胞A549、H1299和PC-9的存活率,采用Annexin Ⅴ-FITC/PI染色流式细胞术检测细胞凋亡率,采用WB法检测细胞中C-caspase-3和Bcl-2蛋白的表达。通过网络药理学相关方法筛选α-Hed的潜在靶点,利用分子对接法分析其结合效果,WB法检测靶点蛋白的表达。通过CCK-8法、细胞集落形成实验和WB法检测α-Hed与DDP联用对NSCLC细胞的抑制作用。结果:给药24和48 h后,10、15和20 μmol/L α-Hed可以显著抑制NSCLC细胞增殖活力(均P<0.01);与对照组相比,20 μmol/L α-Hed处理后细胞凋亡率显著升高(P<0.01);α-Hed可上调NSCLC细胞中C-caspase-3的表达(P<0.05),下调Bcl-2的表达(P<0.05)。网络药理学和分子对接筛选出结合亲和力小于-5 kcal/mol的靶点AKT1、STAT3、EGFR和JAK2。WB法检测结果显示,α-Hed处理后A549、H1299细胞中EGFR、p-AKT/AKT、p-STAT3/STAT3和JAK2蛋白的表达均明显下调(均P<0.05)。α-Hed与DDP联用后,更显著地抑制NSCLC细胞的增殖(P<0.01),进一步下调EGFR、p-AKT/AKT、p-STAT3/STAT3和JAK2蛋白的表达(P<0.05或P<0.01)。结论:α-Hed通过下调EGFR和JAK2的表达抑制STAT3和AKT的磷酸化,诱导NSCLC细胞凋亡,与DDP联用后其抑制效果增强,EGFR/AKT和JAK2/STAT3通路也进一步被抑制。
		                        		
		                        		
		                        		
		                        	
2.A Preliminary Proteomic Study of Peitu Qingxin Granules for the Treatment of Atopic Dermatitis
Junfeng LIU ; Kai ZHANG ; Xiumei MO ; Saiya WANG ; Fenggen YAN ; Siqi YE ; Jinjing JIA ; Yu ZHANG ; Dacan CHEN ; Xiaobo YU
Traditional Chinese Drug Research & Clinical Pharmacology 2024;35(2):191-199
		                        		
		                        			
		                        			Objective A serum proteomic approach was used to explore the targets of action of Peitu Qingxin Granules(composed of Rhizoma Atractylodis Macrocephalae,Forsythiae Fructus,Imperatae Rhizoma,Pseudostellariae Radix,etc.)in the treatment of atopic dermatitis.Methods Five patients with atopic dermatitis were selected and treated with Peitu Qingxin Granules for 12 weeks,and five healthy volunteers were used as controls.The clinical core evaluation indexes of atopic dermatitis patients after treatment,including Eczema Area and Severity Index/Scoring Atopic Dermatitis(EASI/SCORAD),Pruritus Score,Patient-Oriented Eczema Measure(POEM),and quality of life index,were assessed.Serum samples were examined using data-independent acquisition-mass spectrometry(DIA-MS)technology,and serum differential proteins between atopic dermatitis patients and healthy people,as well as serum differential proteins in atopic dermatitis patients before and after treatment with Peitu Qingxin Granules were screened according to P<0.05 and Fold Change>1.2.GO function enrichment analysis and KEGG pathway enrichment analysis were performed on the differential proteins.Results(1)Compared with the pre-treatment period,the clinical core evaluation indexes of patients with atopic dermatitis,including the EASI/SCORAD,Pruritus Score,POEM,and quality-of-life index,were significantly improved after treatment,and the differences were all statistically significant(P<0.05,P<0.01).(2)A total of 28 differential proteins were analyzed in the healthy control group and atopic dermatitis group,of which 12 proteins expressions were increased and 16 proteins were decreased,including ALAD(δ-aminolevulinic acid dehydrogenase),LTA4H(leukotriene A-4 hydrolase),CA1(carbonic anhydrase 1),F11(coagulation factor XI),and LCP1(lymphocyte cytoplasmic protein 1),etc..The main signaling pathways involved are PI3K-AKT signaling pathway,lipids and atherosclerosis,ECM-receptor interaction,platelet activation,NF-κB signaling pathway,and neutrophil extracellular trap formation.(3)A total of 12 different proteins were analyzed in atopic dermatitis patients before and after treatment with Peitu Qingxin Granules,of which 8 proteins were increased and 4 proteins were decreased,including ALAD,FGA(fibrinogen α-chain),IGHV3-64D,and IGHV3-38.They were mainly involved in signaling pathways such as lipids and atherosclerosis,complement pathway,Staphylococcus aureus infection,NF-κB signaling pathway,fluid shear stress and atherosclerosis.(4)The expressions of three protein targets including ALAD,FGA and IGHV3-64D,were significantly down-regulated in patients with atopic dermatitis and significantly up-regulated after treatment with Peitu Qingxin Granules.Conclusion The differentially expressed proteins ALAD,FGA and IGHV3-64D may be the action targets of Peitu Qingxin Granules in the treatment of atopic dermatitis,which lays the foundation for further experimental validation.
		                        		
		                        		
		                        		
		                        	
3.Research progress on the role of leonurine in inflammation-related diseases
Jia-Wei XIONG ; Rui-Qi MA ; Hua-Peng YU ; Lin MOU ; Xiao-Fen MO
Fudan University Journal of Medical Sciences 2024;51(4):614-619
		                        		
		                        			
		                        			Leonurine(SCM-198)was discovered as one of the active constituents of the Herba Leonuri(HL).Now it can be artificially synthesized.Several recent researches has proven that it exhibits anti-inflammatory effect in several systems in animal models and cell culture in vitro.The key mechanism involves downgrading the activity of nuclear transcription factor-κB(NF-κB),thereby inhibiting the phosphorylation of several signal pathways such as PI3K/Akt,MAPK,ERK,and JNK,or upregulating the activity of Nrf2 related pathways,resulting in downregulated expression of inflammatory cytokines such as tumor necrosis factor-α(TNF-α),IL-1β,IL-2,IL-6,IL-8,inducible nitric oxide synthase(iNOS),cyclooxygenase-2(COX-2),chemokines,adhesion molecules,etc.Owing to the advantages of high safety and efficiency,the ease of administration,as well as its effectiveness in many organs and systems,leonurine has a widely prospect for future research and clinical applications.This article reviews the progress in the fundamental research of leonurine in multiple inflammation-related disease,and it could be expect to offer new possibilities for the treatment of these disease.
		                        		
		                        		
		                        		
		                        	
4.The effect of glucose-6-phosphate dehydrogenase deficiency on allogeneic hematopoietic stem cell transplantation in patients with hematological disorders
Jia WANG ; Haixia FU ; Yuanyuan ZHANG ; Xiaodong MO ; Tingting HAN ; Jun KONG ; Yuqian SUN ; Meng LYU ; Wei HAN ; Huan CHEN ; Yuhong CHEN ; Fengrong WANG ; Chenhua YAN ; Yao CHEN ; Jingzhi WANG ; Yu WANG ; Lanping XU ; Xiaojun HUANG ; Xiaohui ZHANG
Chinese Journal of Hematology 2024;45(2):121-127
		                        		
		                        			
		                        			Objectives:To determine the effect of glucose-6-phosphate-dehydrogenase (G6PD) deficiency on patients’ complications and prognosis following allogeneic stem cell hematopoietic transplantation (allo-HSCT) .Methods:7 patients with G6PD deficiency (study group) who underwent allo-HSCT at Peking University People's Hospital from March 2015 to January 2021 were selected as the study group, and thirty-five patients who underwent allo-HSCT during the same period but did not have G6PD deficiency were randomly selected as the control group in a 1∶5 ratio. Gender, age, underlying diseases, and donors were balanced between the two groups. Collect clinical data from two patient groups and perform a retrospective nested case-control study.Results:The study group consisted of six male patients and one female patient, with a median age of 37 (range, 2-45) years old. The underlying hematologic diseases included acute myeloid leukemia ( n=3), acute lymphocytic leukemia ( n=2), and severe aplastic anemia ( n=2). All 7 G6PD deficiency patients achieved engraftment of neutrophils within 28 days of allo-HSCT, while the engraftment rate of neutrophils was 94.5% in the control group. The median days of platelet engraftment were 21 (6–64) d and 14 (7–70) d ( P=0.113). The incidence rates of secondary poor graft function in the study group and control group were 42.9% (3/7) and 8.6% (3/35), respectively ( P=0.036). The CMV infection rates were 71.4% (5/7) and 31.4% (11/35), respectively ( P=0.049). The incidence rates of hemorrhagic cystitis were 57.1% (4/7) and 8.6% (3/35), respectively ( P=0.005), while the bacterial infection rates were 100% (7/7) and 77.1% (27/35), respectively ( P=0.070). The infection rates of EBV were 14.3% (1/7) and 14.3% (5/35), respectively ( P=1.000), while the incidence of fungal infection was 14.3% (1/7) and 25.7% (9/35), respectively ( P=0.497). The rates of post-transplant lymphoproliferative disease (PTLD) were 0% and 5.7%, respectively ( P=0.387) . Conclusions:The findings of this study indicate that blood disease patients with G6PD deficiency can tolerate conventional allo-HSCT pretreatment regimens, and granulocytes and platelets can be implanted successfully. However, after transplantation, patients should exercise caution to avoid viral infection, complications of hemorrhagic cystitis, and secondary poor graft function.
		                        		
		                        		
		                        		
		                        	
5.Correlation between Combined Urinary Metal Exposure and Grip Strength under Three Statistical Models: A Cross-sectional Study in Rural Guangxi
Jian Yu LIANG ; Hui Jia RONG ; Xiu Xue WANG ; Sheng Jian CAI ; Dong Li QIN ; Mei Qiu LIU ; Xu TANG ; Ting Xiao MO ; Fei Yan WEI ; Xia Yin LIN ; Xiang Shen HUANG ; Yu Ting LUO ; Yu Ruo GOU ; Jing Jie CAO ; Wu Chu HUANG ; Fu Yu LU ; Jian QIN ; Yong Zhi ZHANG
Biomedical and Environmental Sciences 2024;37(1):3-18
		                        		
		                        			
		                        			Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95% confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.
		                        		
		                        		
		                        		
		                        	
6.Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program
Ming-Ying LU ; Chung-Feng HUANG ; Chao-Hung HUNG ; Chi‐Ming TAI ; Lein-Ray MO ; Hsing-Tao KUO ; Kuo-Chih TSENG ; Ching-Chu LO ; Ming-Jong BAIR ; Szu-Jen WANG ; Jee-Fu HUANG ; Ming-Lun YEH ; Chun-Ting CHEN ; Ming-Chang TSAI ; Chien-Wei HUANG ; Pei-Lun LEE ; Tzeng-Hue YANG ; Yi-Hsiang HUANG ; Lee-Won CHONG ; Chien-Lin CHEN ; Chi-Chieh YANG ; Sheng‐Shun YANG ; Pin-Nan CHENG ; Tsai-Yuan HSIEH ; Jui-Ting HU ; Wen-Chih WU ; Chien-Yu CHENG ; Guei-Ying CHEN ; Guo-Xiong ZHOU ; Wei-Lun TSAI ; Chien-Neng KAO ; Chih-Lang LIN ; Chia-Chi WANG ; Ta-Ya LIN ; Chih‐Lin LIN ; Wei-Wen SU ; Tzong-Hsi LEE ; Te-Sheng CHANG ; Chun-Jen LIU ; Chia-Yen DAI ; Jia-Horng KAO ; Han-Chieh LIN ; Wan-Long CHUANG ; Cheng-Yuan PENG ; Chun-Wei- TSAI ; Chi-Yi CHEN ; Ming-Lung YU ;
Clinical and Molecular Hepatology 2024;30(1):64-79
		                        		
		                        			 Background/Aims:
		                        			Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. 
		                        		
		                        			Methods:
		                        			We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment.  
		                        		
		                        			Results:
		                        			The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. 
		                        		
		                        			Conclusions
		                        			Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure. 
		                        		
		                        		
		                        		
		                        	
7.Genetic Subtypes and Pretreatment Drug Resistance in the Newly Reported Human Immunodeficiency Virus-Infected Men Aged≥50 Years Old in Guangxi.
Ning-Ye FANG ; Wen-Cui WEI ; Jian-Jun LI ; Ping CEN ; Xian-Xiang FENG ; Dong YANG ; Kai-Ling TANG ; Shu-Jia LIANG ; Yu-Lan SHAO ; Hua-Xiang LU ; He JIANG ; Qin MENG ; Shuai-Feng LIU ; Qiu-Ying ZHU ; Huan-Huan CHEN ; Guang-Hua LAN ; Shi-Xiong YANG ; Li-Fang ZHOU ; Jing-Lin MO ; Xian-Min GE
Acta Academiae Medicinae Sinicae 2023;45(3):399-404
		                        		
		                        			
		                        			Objective To analyze the genetic subtypes of human immunodeficiency virus (HIV) and the prevalence of pretreatment drug resistance in the newly reported HIV-infected men in Guangxi. Methods The stratified random sampling method was employed to select the newly reported HIV-infected men aged≥50 years old in 14 cities of Guangxi from January to June in 2020.The pol gene of HIV-1 was amplified by nested reverse transcription polymerase chain reaction and then sequenced.The mutation sites associated with drug resistance and the degree of drug resistance were then analyzed. Results A total of 615 HIV-infected men were included in the study.The genetic subtypes of CRF01_AE,CRF07_BC,and CRF08_BC accounted for 57.4% (353/615),17.1% (105/615),and 22.4% (138/615),respectively.The mutations associated with the resistance to nucleoside reverse transcriptase inhibitors (NRTI),non-nucleoside reverse transcriptase inhibitors (NNRTI),and protease inhibitors occurred in 8 (1.3%),18 (2.9%),and 0 patients,respectively.M184V (0.7%) and K103N (1.8%) were the mutations with the highest occurrence rates for the resistance to NRTIs and NNRTIs,respectively.Twenty-two (3.6%) patients were resistant to at least one type of inhibitors.Specifically,4 (0.7%),14 (2.3%),4 (0.7%),and 0 patients were resistant to NRTIs,NNRTIs,both NRTIs and NNRTIs,and protease inhibitors,respectively.The pretreatment resistance to NNRTIs had much higher frequency than that to NRTIs (2.9% vs.1.3%;χ2=3.929,P=0.047).The prevalence of pretreatment resistance to lamivudine,zidovudine,tenofovir,abacavir,rilpivirine,efavirenz,nevirapine,and lopinavir/ritonavir was 0.8%, 0.3%, 0.7%, 1.0%, 1.3%, 2.8%, 2.9%, and 0, respectively. Conclusions CRF01_AE,CRF07_BC,and CRF08_BC are the three major strains of HIV-infected men≥50 years old newly reported in Guangxi,2020,and the pretreatment drug resistance demonstrates low prevalence.
		                        		
		                        		
		                        		
		                        			Male
		                        			;
		                        		
		                        			Humans
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		                        			Middle Aged
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		                        			Reverse Transcriptase Inhibitors/therapeutic use*
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		                        			HIV Infections/drug therapy*
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		                        			Drug Resistance, Viral/genetics*
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		                        			China/epidemiology*
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		                        			Mutation
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		                        			HIV-1/genetics*
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		                        			Protease Inhibitors/therapeutic use*
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		                        			Genotype
		                        			
		                        		
		                        	
8.Improved outcomes in E2A::HLF positive B-cell acute lymphoblastic leukemia by chimeric antigen receptor T cell therapy and BCL-2 inhibitor.
Shumin CHEN ; Ye LI ; Zheng WANG ; Lin FENG ; Yueping JIA ; Xiaodong MO ; Yu WANG ; Qian JIANG ; Xiaojun HUANG ; Yueyun LAI
Chinese Medical Journal 2023;136(11):1382-1384
9.Decreasing complexity of glucose time series derived from continuous glucose monitoring is correlated with deteriorating glucose regulation.
Cheng LI ; Xiaojing MA ; Jingyi LU ; Rui TAO ; Xia YU ; Yifei MO ; Wei LU ; Yuqian BAO ; Jian ZHOU ; Weiping JIA
Frontiers of Medicine 2023;17(1):68-74
		                        		
		                        			
		                        			Most information used to evaluate diabetic statuses is collected at a special time-point, such as taking fasting plasma glucose test and providing a limited view of individual's health and disease risk. As a new parameter for continuously evaluating personal clinical statuses, the newly developed technique "continuous glucose monitoring" (CGM) can characterize glucose dynamics. By calculating the complexity of glucose time series index (CGI) with refined composite multi-scale entropy analysis of the CGM data, the study showed for the first time that the complexity of glucose time series in subjects decreased gradually from normal glucose tolerance to impaired glucose regulation and then to type 2 diabetes (P for trend < 0.01). Furthermore, CGI was significantly associated with various parameters such as insulin sensitivity/secretion (all P < 0.01), and multiple linear stepwise regression showed that the disposition index, which reflects β-cell function after adjusting for insulin sensitivity, was the only independent factor correlated with CGI (P < 0.01). Our findings indicate that the CGI derived from the CGM data may serve as a novel marker to evaluate glucose homeostasis.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Glucose
		                        			;
		                        		
		                        			Blood Glucose
		                        			;
		                        		
		                        			Insulin Resistance/physiology*
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		                        			Diabetes Mellitus, Type 2/diagnosis*
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		                        			Blood Glucose Self-Monitoring
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		                        			Time Factors
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		                        			Insulin
		                        			
		                        		
		                        	
10.Efficacy of adjuvant programmed cell death 1 (PD-1) monoclonal antibody immunotherapy in Chinese patients with resected stage Ⅱ-Ⅲ melanoma.
Zhao Gan REN ; Yu XU ; Zhan qiang HUA ; Zong Yi MO ; Luo Wen WANG ; Gen Bing SHI ; Wan Lin LIU ; Wei SUN ; Bi Qiang ZHENG ; Chun Meng WANG ; Yong Jia JIN ; Yong CHEN
Chinese Journal of Oncology 2023;45(11):973-980
		                        		
		                        			
		                        			Objective: To explore the efficacy of adjuvant programmed cell death 1 (PD-1) monoclonal antibody immunotherapy in Chinese patients with resected stage Ⅱ-Ⅲ melanoma. Methods: A total of 296 patients who underwent radical surgery for stage Ⅱ-Ⅲ cutaneous orlimb melanoma at Fudan University Shanghai Cancer Center and Shanghai Electric Power Hospital between 2017 and 2021 and received adjuvant PD-1 monoclonal antibody immunotherapy, low-dose interferon (IFN), or observational follow-up were enrolled in this study. Patients were divided into the PD-1 monoclonal antibody group (164 cases) and the IFN or observation group (IFN/OBS group, 132 cases) based on postoperative adjuvant treatment methods. Patients' disease recurrence and survival were observed. Results: Among the 296 patients, 77 had cutaneous melanoma and 219 had limb melanoma; 110 were stage Ⅱ and 186 were stage Ⅲ. Among stage Ⅱ patients, the median recurrence-free survival (RFS) in the PD-1 monoclonal antibody group (46 cases) did not reach, while the median RFS in the IFN/OBS group (64 cases) was 36 months. The 1-year RFS rates were 85.3% and 92.1% and the 2-year RFS rates were 71.9% and 63.7% in the PD-1 monoclonal antibody group and the IFN/OBS group, respectively, with no statistically significant difference (P=0.394). Among stage Ⅲ patients, the median RFS rates in the PD-1 monoclonal antibody group (118 cases) and the IFN/OBS group (68 cases) were 23 and 13 months, respectively. The 1-year RFS rates were 70.0% and 51.8% and the 2-year RFS rates were 51.8% and 35.1%in the PD-1 monoclonal antibody group and the IFN/OBS group, respectively, with a statistically significant difference (P=0.010). Stratified analysis showed that the advantage of PD-1 monoclonal antibody adjuvant therapy in improving RFS persisted in the subgroups of primary ulceration (HR=0.558, 95% CI: 0.348-0.893), lymph node macroscopic metastasis (HR=0.486, 95% CI: 0.285-0.828), stage ⅢC (HR=0.389, 95% CI: 0.24-0.63), and the subgroup without BRAF/c-Kit/NRAS gene mutations (HR=0.347, 95% CI: 0.171-0.706). In terms of recurrence patterns, in stage Ⅱ patients, the recurrence and metastasis rate was 15.2% (7/46) in the PD-1 monoclonal antibody group, significantly lower than the IFN/OBS group [43.8% (28/64), P=0.002]. In stage Ⅲ melanoma patients, the recurrence and metastasis rate was 42.4% (50/118) in the PD-1 monoclonal antibody group, also lower than the IFN/OBS group [63.2% (43/68), P=0.006]. Conclusions: In real-world settings, compared with patients receiving low-dose IFN adjuvant therapy or observational follow-up, PD-1 monoclonal antibody immunotherapy can reduce the recurrence and metastasis rate of cutaneous and limb melanoma, and prolong the postoperative RFS of stage Ⅲ cutaneous and limb melanoma patients. Patients with a heavier tumor burden benefit more from immunotherapy.
		                        		
		                        		
		                        		
		                        			Humans
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		                        			Antibodies, Monoclonal/therapeutic use*
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		                        			Apoptosis
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		                        			China
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		                        			Disease-Free Survival
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		                        			East Asian People
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		                        			Immunotherapy
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		                        			Interferon-alpha/therapeutic use*
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		                        			Lymphatic Metastasis
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		                        			Melanoma/pathology*
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		                        			Programmed Cell Death 1 Receptor/therapeutic use*
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		                        			Skin Neoplasms/pathology*
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		                        			Melanoma, Cutaneous Malignant
		                        			
		                        		
		                        	
            
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