1.Construction of a predictive model for efficacy of neoadjuvant immunotherapy combined with chemotherapy in gastric cancer based on CT radiomics
Huo JUNJIE ; Chen FENGJU ; Duan YINGXIN ; Li MAN ; Shen LIJIE ; Wu YONGCUN ; Wang LIJUN
Chinese Journal of Clinical Oncology 2025;52(1):16-23
Objective:To investigate the value of a computed tomography(CT)radiomics-based model for predicting the efficacy of neoad-juvant immunotherapy combined with chemotherapy for locally advanced gastric cancer(LAGC).Methods:Data on 114 patients with LAGC who underwent radical surgery after neoadjuvant immunotherapy combined with chemotherapy at The Second Affiliated Hospital of Xingtai Medical College between June 2019 and June 2021 were retrospectively collected.These patients'data were divided into a training set(n=67)and a validation set(n=47)based on the time of admission.High-throughput features were extracted from baseline portal phase CT images of all patients,and the selected features were used to construct the radiomics prediction model.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)and calibration curves.The prognostic ability of the model was assessed using Kaplan-Meier curves.Results:Based on the maximum relevancy min-redundancy(mRMR)algorithm and least absolute shrinkage and selection operator(LASSO)regression model,5 out of 584 assessed features were incorporated into the radiomics(Rad)score.The respect-ive areas under the curve for predicting pathological complete response(pCR)in the training and validation sets were 0.865 and 0.830,re-spectively,and good fits were obtained(Hosmer-Lemeshow test:P>0.05).The optimal cut-off value for the Rad score was determined based on the Youden index.Patients with high Rad scores had significantly higher 3-year recurrence-free survival rates(82.7%vs.60.4%in the training set and 78.9%vs.53.8%in the validation set)and 3-year overall survival rates(78.9%vs.60.2%in the training set and 79.3%vs.50.0%in the validation set)than those with low Rad scores(P<0.05).Conclusions:The CT radiomics prediction model effectively predicted the pathological response and prognosis of patients with LAGC after neoadjuvant immunotherapy combined with chemotherapy and is ex-pected to serve as a practical clinical tool.
2.Construction of a predictive model for efficacy of neoadjuvant immunotherapy combined with chemotherapy in gastric cancer based on CT radiomics
Huo JUNJIE ; Chen FENGJU ; Duan YINGXIN ; Li MAN ; Shen LIJIE ; Wu YONGCUN ; Wang LIJUN
Chinese Journal of Clinical Oncology 2025;52(1):16-23
Objective:To investigate the value of a computed tomography(CT)radiomics-based model for predicting the efficacy of neoad-juvant immunotherapy combined with chemotherapy for locally advanced gastric cancer(LAGC).Methods:Data on 114 patients with LAGC who underwent radical surgery after neoadjuvant immunotherapy combined with chemotherapy at The Second Affiliated Hospital of Xingtai Medical College between June 2019 and June 2021 were retrospectively collected.These patients'data were divided into a training set(n=67)and a validation set(n=47)based on the time of admission.High-throughput features were extracted from baseline portal phase CT images of all patients,and the selected features were used to construct the radiomics prediction model.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)and calibration curves.The prognostic ability of the model was assessed using Kaplan-Meier curves.Results:Based on the maximum relevancy min-redundancy(mRMR)algorithm and least absolute shrinkage and selection operator(LASSO)regression model,5 out of 584 assessed features were incorporated into the radiomics(Rad)score.The respect-ive areas under the curve for predicting pathological complete response(pCR)in the training and validation sets were 0.865 and 0.830,re-spectively,and good fits were obtained(Hosmer-Lemeshow test:P>0.05).The optimal cut-off value for the Rad score was determined based on the Youden index.Patients with high Rad scores had significantly higher 3-year recurrence-free survival rates(82.7%vs.60.4%in the training set and 78.9%vs.53.8%in the validation set)and 3-year overall survival rates(78.9%vs.60.2%in the training set and 79.3%vs.50.0%in the validation set)than those with low Rad scores(P<0.05).Conclusions:The CT radiomics prediction model effectively predicted the pathological response and prognosis of patients with LAGC after neoadjuvant immunotherapy combined with chemotherapy and is ex-pected to serve as a practical clinical tool.
3.Impact of pembrolizumab combined with chemotherapy on angiogenesis and circulating endothelial cells in patients with advanced non-small cell lung cancer
Xi JIANG ; Yongcun WU ; Yan LIANG ; Li CHU ; Yingxin DUAN ; Lijun WANG ; Junjie HUO
Journal of International Oncology 2024;51(2):89-94
Objective:To explore the impact of pembrolizumab combined with chemotherapy on angiogenesis and circulating endothelial cells in patients with advanced non-small cell lung cancer (NSCLC) .Methods:The retrospective analysis of clinical data from 121 patients diagnosed with advanced NSCLC who were admitted to the Second Affiliated Hospital of Xingtai Medical College from August 2021 to January 2023 was conducted. These patients were divided into a control group ( n=57) and an observation group ( n=64) based on the designated treatment protocol. Specifically, individuals in the control group received standard chemotherapy (cisplatin+paclitaxel), while those in the observation group underwent penpilimab therapy in conjunction with conventional chemotherapy. The comparative assessment encompassed short-term clinical efficacy, quality of life, immune function parameters, angiogenic factors [including endostatin, insulin-like growth factor 1 (IGF-1), and vascular endothelial growth factor (VEGF) ], circulating endothelial cells, and adverse reactions within the two groups. Results:After 6 courses of treatment, the objective response rate [67.19% (43/64) vs. 49.12% (28/57) ] and disease control rate [87.50% (56/64) vs. 70.18% (40/57) ] in observation group were higher than those in control group, with statistically significant differences ( χ2=4.06, P=0.044; χ2=5.52, P=0.019). The quality of life score of observation group [ (56.77±6.81) points] was significantly higher than that of control group [ (47.73±8.23) points], with a statistically significant difference ( t=6.61, P<0.001) ; The T cell subgroup CD3 + levels [ (63.59±9.00) % vs. (53.06±8.80%), t=6.49, P<0.001], CD4 + levels [ (46.54±8.20) % vs. (30.74±7.32) %, t=11.13, P<0.001] and CD4 +/CD8 + ratio (1.90±0.36 vs. 1.21±0.28, t=11.66, P<0.001) in observation group were significantly higher than those in control group, with statistically significant differences; Endostatin in observation group [ (48.99±3.43) μmol/L] was significantly higher than that in control group [ (31.35±3.87) μmol/L], with a statistically significant difference ( t=26.58, P<0.001), IGF-1 [ (102.31±20.35) μg/L vs. (134.98±19.02) μg/L] and VEGF [ (31.70±4.32) pg/ml vs. (58.71±5.99) pg/ml] were significantly lower in observation group than those in control group, with statistically significant differences ( t=18.73, P<0.001; t=28.14, P<0.001). The number of circulating endothelial cells in observation group [ (58.77±10.03) /ml] was significantly lower than that in control group [ (87.01±8.01) /ml], with a statistically significant difference ( t=17.20, P<0.001). During treatment, there were no statistically significant differences in the incidence of gastrointestinal reaction ( χ2=0.01, P=0.908), leukopenia ( χ2=0.64, P=0.424), thrombocytopenia ( χ2=0.28, P=0.597), anemia ( χ2=1.66, P=0.197), nephrotoxicity ( χ2=0.64, P=0.424), skin rash ( χ2=1.33, P=0.249) between the two groups. Conclusion:The combination therapy of pembrolizumab and chemotherapy for the treatment of advanced NSCLC has demonstrated noteworthy effectiveness. This regimen has the potential to enhance patients' immune functionality, ameliorate their overall quality of life, suppress angiogenesis, and exhibits a commendable profile of safety and reliability.
4.The relationship between blood uric acid levels and non-alcoholic fatty liver disease in patients with type H hypertension
Yao ZHANG ; Yingxin HUO ; Wei ZHAO ; Rongjie TANG ; Qiufang LIAN
The Journal of Practical Medicine 2024;40(18):2561-2565
Objective To explore the relationship between blood uric acid levels and non-alcoholic fatty liver disease in patients with type H hypertension.Methods The clinical data of 284 patients with type H hyper-tension admitted to the Cardiovascular Department,Xianyang Hospital,Yan'an University in 2022 were collected and retrospectively reviewed.The patients were divided into NAFLD group(n=88)and normal group(n=196)according to whether they had NAFLD.The general information and laboratory indicators were compared between the two groups.Multivariate logistic regression analysis was conducted to explore the influencing factors of NAFLD in H-type hypertension patients.The draw ROC curves were plotted to observe the role of SUA in predicting NAFLD and select the optimal cutoff value based on the maximum Youden index.Results The NAFLD group demonstrated higher levels in body mass index,systolic blood pressure,diastolic blood pressure,total cholesterol,triglycerides,low-density lipoprotein cholesterol,SUA,γ-Glutamyl transpeptidase and alanine aminotransferase compared to the normal group,but significantly lower levels at age and high-density lipoprotein cholesterol(P<0.05).The multivariate logistic regression analysis showed that elevated levels of BMI(OR=1.173,95%CI:1.066~1.291),SUA(OR=1.005,95%CI:1.001~1.010),and TG(OR=1.929,95%CI:1.042~3.574)were risk factors for NAFLD in patients with type H hypertension(P<0.05).The ROC curves showed that the area under the curve(AUC)of SUA,TG,BMI,and their combination were 0.709,0.707,0.750,and 0.796,respectively.Conclusion type H hypertensive NAFLD patients have high levels of BMI,SUA,TG compared to non-NAFLD patients.Elevated SUA is a risk factor for type H hypertensive NAFLD patients,with SUA>337 μmol/L as a significant value for predicting NAFLD.

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