1.Liver and Kidney Safety Assessment of Chinese Herbal Compound in Treatment of Gastric Cancer Based on Real-World Data
Yumiao SHEN ; Xiaohong ZHU ; Yi WANG ; Ya'nan ZHANG ; Ruohan ZHAO ; Fangqi MA ; Yan XU ; Lin ZENG ; Mingjie CHEN ; Aiguang ZHAO
China Cancer 2025;34(5):408-415
[Purpose]To evaluate the liver and kidney safety of traditional Chinese medicine(TCM)compounds in the treatment of gastric cancer.[Methods]The clinical data of gastric cancer patients who attended in Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from January 2012 to February 2022 were collected.The results of liver and renal func-tion tests were rated according to National Cancer Institute-Common Terminology Criteria for Ad-verse Events(NCI-CTCAE)V5.0.The patients were divided into 4 groups:TCM group,TCM+chemotherapy/targeted/antivascular therapy group,TCM+TCM preparation group and TCM+chemotherapy/targeted/antivascular therapy+TCM preparation group,and the effects of TCM on liver and renal functions were analyzed.[Results]A total of 7 943 patients were included in the analysis,of which 2 941 cases receiving TCM ≥12 months,1 468 months ≥36 months,and 687 months≥60 months.The highest incidence rate of liver function abnormality was 13.71%,the highest in-cidence rate of grade 3/4 abnormality was 2.58%;the highest incidence of creatinine abnormality was 2.32%,the highest incidence rate of grade 3/4 abnormality was 0.37%in patients with differ-ent duration of taking TCM.Most of liver and renal function abnormalities occurred in the early stage of drug taking.The incidence of liver and renal function abnormalities in the TCM group was lower than that of the other three groups.The incidence of grade 3/4 abnormality for direct biliru-bin(DBIL)in the TCM group was 0.14%,for aspartate transaminase(AST)was 0.11%,for alka-line phosphatase(ALP)was 0.16%,for alanine aminotransferase(ALT)was 0.06%and for total bilirubin(TBIL)was 0.07%,and there was no grade 3/4 creatinine abnormality observed.The ab-normal liver and renal function indexes were not increased with the increase of the length of herbal medicine taking.[Conclusion]The study shows that long term taking TCM drugs and stan-dardized prescriptions for gastric cancer patients are safe.
2.Liver and Kidney Safety Assessment of Chinese Herbal Compound in Treatment of Gastric Cancer Based on Real-World Data
Yumiao SHEN ; Xiaohong ZHU ; Yi WANG ; Ya'nan ZHANG ; Ruohan ZHAO ; Fangqi MA ; Yan XU ; Lin ZENG ; Mingjie CHEN ; Aiguang ZHAO
China Cancer 2025;34(5):408-415
[Purpose]To evaluate the liver and kidney safety of traditional Chinese medicine(TCM)compounds in the treatment of gastric cancer.[Methods]The clinical data of gastric cancer patients who attended in Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from January 2012 to February 2022 were collected.The results of liver and renal func-tion tests were rated according to National Cancer Institute-Common Terminology Criteria for Ad-verse Events(NCI-CTCAE)V5.0.The patients were divided into 4 groups:TCM group,TCM+chemotherapy/targeted/antivascular therapy group,TCM+TCM preparation group and TCM+chemotherapy/targeted/antivascular therapy+TCM preparation group,and the effects of TCM on liver and renal functions were analyzed.[Results]A total of 7 943 patients were included in the analysis,of which 2 941 cases receiving TCM ≥12 months,1 468 months ≥36 months,and 687 months≥60 months.The highest incidence rate of liver function abnormality was 13.71%,the highest in-cidence rate of grade 3/4 abnormality was 2.58%;the highest incidence of creatinine abnormality was 2.32%,the highest incidence rate of grade 3/4 abnormality was 0.37%in patients with differ-ent duration of taking TCM.Most of liver and renal function abnormalities occurred in the early stage of drug taking.The incidence of liver and renal function abnormalities in the TCM group was lower than that of the other three groups.The incidence of grade 3/4 abnormality for direct biliru-bin(DBIL)in the TCM group was 0.14%,for aspartate transaminase(AST)was 0.11%,for alka-line phosphatase(ALP)was 0.16%,for alanine aminotransferase(ALT)was 0.06%and for total bilirubin(TBIL)was 0.07%,and there was no grade 3/4 creatinine abnormality observed.The ab-normal liver and renal function indexes were not increased with the increase of the length of herbal medicine taking.[Conclusion]The study shows that long term taking TCM drugs and stan-dardized prescriptions for gastric cancer patients are safe.
3.Role and mechanism of XPOT inhibition by atractylenolide I in gastric cancer cells
Yi ZHANG ; Fangqi MA ; Siyuan WEI ; Xuejun LI
The Journal of Practical Medicine 2024;40(14):1928-1934
Objective This study aimed to investigate the role and mechanism of atractylenolide Ⅰ in inhibiting XPOT proliferation and invasion in gastric cancer cells.Methods This study included exploration of XPOT expression in gastric cancer tissues,analysis of gene expression data from GC patients in TCGA and GEO databases,as well as various cellular assays to detect the ability of cancer cells to proliferate,migrate,and invade.Protein expression levels of XPOT,SKP2,CyclinA,and P27 mRNA were also detected by qPCR and Western Blot.Results Analysis confirmed that XPOT was highly expressed in gastric cancer tissues,indicating a poor prognosis.In vitro studies revealed that AT-1 inhibits the proliferation and invasion ability of GC cells;XPOT down-regulation also inhibits these abilities.Furthermore,AT-1 down-regulates the expression of XPOT which then regulates SKP2,P27,and CyclinA-ultimately inhibiting the proliferation and invasion of gastric cancer cells through the regulation of the XPOT pathway.Conclusion The overexpression of XPOT in gastric cancer tissues can indicate a poor prognosis.Atractylenolide Ⅰ down-regulates the XPOT-regulated ubiquitination-proteasome pathway to inhibit proliferation and invasion of gastric cancer cells.
4.Construction of a predictive nomogram model for the risk of type 2 diabetic nephropathy
Jin MA ; Fangqi MA ; Xiaoying DONG
Chinese Journal of Primary Medicine and Pharmacy 2024;31(5):734-741
Objective:To explore the risk factors of diabetic nephropathy in type 2 diabetes patients, establish a risk prediction model for diabetic nephropathy and provide scientific reference for the prevention and screening of diabetic nephropathy.Methods:Clinical data of 1 223 patients admitted at Department of Endocrinology, General Hospital of Ningxia Medical University from January 2018 to December 2022 were retrospectively collected. In the training set, LASSO regression analysis and 10-fold cross-validation were used to screen the optimal feature variables by RStudio 4.2.1 software, and then multivariate logistic regression analysis was used to determine the final predictors selected from LASSO regression to construct the risk prediction model and draw the nomogram diagram. The receiver operating characteristic curve, C-index, calibration curve, and Hosmer-Lemeshow test were used to assess the discrimination and accuracy of the model; and the decision curve analysis was used to assess the clinical validity of the model.Results:The multivariate logistic regression analysis showed that the duration of diabetes, glycosylated hemoglobin [odds ratio ( OR) = 1.14, 95% confidence interval ( CI): 1.05-1.24], serum creatinine ( OR = 1.02, 95% CI: 1.01-1.04), 25-(OH)-D ( OR = 0.97, 95% CI: 0.95-1.00) were the best predictors of diabetic nephropathy in patients with type 2 diabetes ( P < 0.05). The predictive model was constructed by plotting the nomogram graph based on the predictor variables. In the training cohort, the diabetic nephropathy risk model displayed medium predictive power with a C-index of 0.762 (95% CI: 0.734-0.790). Meanwhile, the risk model was also well validated in the validation set, where the C-index was 0.742 (95% CI: 0.689-0.790). Hosmer-Lemeshow test showed excellent degree of fit ( P = 0.108), and the results of the decision curve analysis showed that the prediction model could be clinically beneficial. Conclusion:The establishment of the risk prediction nomogram model provides clinicians with a more convenient and scientific method for early screening and prevention of diabetic nephropathies.

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