1.Research progress on dual blockade of TIGIT and PD-1/PD-L1 pathways in tumor im-munotherapy
Shunna WANG ; Liulu GAO ; Xiaofeng ZHENG ; Guojing XING ; Lifei WANG ; Huijuan SHAO ; Xiaohui YU ; Jiucong ZHANG
Chinese Journal of Clinical Oncology 2023;50(21):1124-1129
Programmed death-1 and programmed death-ligand 1(PD-1/PD-L1)are regulatory immune checkpoint molecules that inhibit T cell activation and,therefore,play an important role in tumor immunotherapy.In recent years,increasing numbers of targeted therapeutic agents have been developed,but single immune checkpoint blockers cannot completely inhibit tumor occurrence,and tumor escape sporadically occurs.Consequently,combination therapy of targeted drugs is considered a useful method to inhibit tumorigenesis and tumor development.T cell immunoglobulin and immunoreceptor tyrosine-based inhibition motif(ITIM)domain(TIGIT)is an inhibitory type 1 poliovirus receptor that has recently been a hotspot of targeted drug therapy research.It has been shown that the combination therapy of TIGIT plus PD-1/PD-L1 can reduce tumor escape and inhibit tumorigenesis more effectively.Therefore,this review summarizes and discusses the progress on the dual blockade of TIGIT and PD-1/PD-L1 pathways in tumor immunotherapy to provide a theoretical basis for tumor im-munotherapy.
2.Influencing Factors of Overall Survival of Elderly Patients with Hepatocellular Carcinoma and Construction of Prediction Model of Prognosis Nomogram:A Population-Based Study
Yang WU ; Tian LI ; Tingting SHI ; Lingling ZHU ; Yani ZHANG ; Peipei GUO ; Runbing ZHANG ; Shunna WANG ; Chun GAO ; Xiaohui YU ; Jiucong ZHANG
Cancer Research on Prevention and Treatment 2024;51(9):756-763
Objective To explore the independent risk factors that affect the overall survival(OS)of elderly patients with hepatocellular carcinoma(HCC,≥60 years old)and build a nomogram prediction model.Methods Clinical data of all elderly patients with HCC from the SEER database from 2005 to 2020 were downloaded from SEER database.In accordance with the inclusion and exclusion criteria,the screened patients were randomly assigned to a training group(70%)and a validation group(30%).The independent risk factors of elderly patients with HCC were determined by univariate and multivariate Cox regression analyses and further validated by Kaplan-Meier survival analysis.On the basis of the determined variables,nomograms were developed and verified to predict the OS of elderly patients with HCC at 6,12,and 24 months.The consistency index(C index),calibration curve,receiver's operating characteristic(ROC)curve,and area under curve(AUC)were used to evaluate the prediction efficiency and discrimination ability of the prediction model,and decision curve analysis(DCA)was used to evaluate the potential clinical application value of the nomogram.Results A total of 1134 elderly patients with HCC were included,with 793 in the training group and 341 in the validation group.Seven variables,including age,clinical grade,clinical stage,M stage,tumor size classification,and radiotherapy,were identified as independent prognostic factors of this population.The constructed nomogram shows excellent prediction performance,with C indices of 0.745 in the training group and 0.704 in the validation group.The AUC values of the training group at 6,12,and 24 months were 0.785,0.788,and 0.798,respectively,and those of the validation group were 0.780,0.725,and 0.607,respectively.The calibration curve shows good consistency from the predicted survival probability to the actual probability.The ROC curve and DCA show that the nomogram proposed in this study has good prediction ability.Conclusion Age,clinical grade,clinical stage,M stage,tumor size classification,and radiotherapy are important influencing factors for the survival of elderly patients with HCC.The prediction model of prognosis nomogram constructed in this study has good predictive value,and it can be used to predict the OS of elderly patients with HCC,which could be helpful for individualized survival assessment and clinical management of these patients.
3.Role of mesenchymal stem cells and their exosomes in the treatment of drug-induced liver injury
Guojing XING ; Longlong LUO ; Lifei WANG ; Shunna WANG ; Xiaofeng ZHENG ; Lixia LU ; Jiucong ZHANG
Journal of Clinical Hepatology 2024;40(3):633-638
The incidence rate of drug-induced liver injury (DILI) is increasing year by year with unknown mechanisms, and the treatment methods for DILI mainly include drugs, liver support systems, and liver transplantation, all of which have certain limitations. Therefore, the search for safer and more effective treatment methods has become a research hotspot at present. Studies have shown that mesenchymal stem cells and their exosomes can alleviate liver injury by reducing liver inflammation, promoting hepatocyte proliferation and regeneration, inhibiting the apoptosis of hepatocytes, improving oxidative stress, and regulating immunity. This article briefly reviews the role of mesenchymal stem cells and their exosomes in the treatment of DILI, so as to provide a reference for further research.