1.Long-term efficacy analysis of salvage re-irradiation therapy for patients with locally recurrent esophageal cancer after definitive chemoradiotherapy
Guangbin GAO ; Chen ZHENG ; Qihui LI ; Qing LIU ; Wenpeng JIAO ; Yajing WU ; Yunjie CHENG ; Chang ZHAI ; Yueping LIU ; Jun WANG
Chinese Journal of Radiation Oncology 2024;33(8):711-718
Objective:To analyze clinical features, short-term efficacy and side effects of salvage re-irradiation therapy for patients with locally recurrent esophageal cancer after definitive chemoradiotherapy, to investigate the prognostic factors of re-irradiation with precise radiotherapy techniques.Methods:A retrospective analysis was performed on patients with locally recurrent esophageal squamous cell carcinoma after definitive chemoradiotherapy treated in the Fourth Hospital of Hebei Medical University from January 2008 to December 2016. The patients underwent re-irradiation therapy (re-RT) or re-irradiation therapy concurrent chemotherapy (re-CCRT). The main observation index was after-recurrence survival (ARS), which was calculated by Kaplan-Meier method for survival analysis. Univariate analysis was conducted by log-rank test, and multivariate analysis was performed by Cox regression model.Results:A total of 109 patients were included, with a median age of 66 years (43-89 years), and a median follow-up time of 120.8 months (79.0-176.5 months). The objective response rates (ORR) and dysphagia improvement rates (DIR) in all patients were 64.2% and 63.0%, respectively. The median ARS and 1-, 3-, 5-, 8-year survival rates in all patients were 7.8 months and 32.1%, 9.2%, 7.3% and 2.3%, respectively. The median ARS and 1-, 3-, 5-years survival rates were 10.8 months and 45.9%, 13.5%, 10.8% for patients with time to recurrence (TTR) ≥24 months, significantly longer than those of 5.7 months and 25.0%, 6.9%, 5.6% for patients with TTR<24 months ( χ2=7.99, P=0.005). The median ARS in groups with re-irradiation dose of ≤50 Gy,>50-54 Gy, and>54 Gy groups were 5.7, 10.0 and 8.1 months, respectively ( χ2=6.94, P=0.031). The 1-, 3- and 5-year survival rates were 30.4%, 5.1%, and 3.8% for re-RT versus 36.7%, 20.0%, and 16.7% for re-CCRT ( χ2=2.12, P=0.145). Multivariate analysis showed that TTR ( HR=0.607, 95% CI=0.372-0.991, P=0.046) and lesion length ( HR=0.603, 95% CI=0.371-0.982, P=0.042) were the independent factors for ARS. There was no significant difference in ≥2 grade pneumonitis and 2-3 grade radiation esophagitis between the re-RT and re-CCRT groups ( χ2=0.25, P=0.619; χ2=0.51, P=0.808). The morbidity of ≥2 grade myelosuppression in the re-RT group was significantly lower than that in the re-CCRT group (3.7% vs. 36.7%, χ2=18.15, P<0.001). Conclusions:Precise re-irradiation therapy for patients with locally recurrent esophageal cancer after definitive chemoradiotherapy can alleviate dysphagia, but ARS remains poor. Re-irradiation dose range from>50-54 Gy may be suitable for locally relapse patients as salvage treatment. Patients with TTR≥24 months and lesion length ≤5 cm obtain favorable prognosis.
2.Olfactory electroencephalogram signal recognition based on wavelet energy moment.
Wenpeng ZHAI ; Xiaonei ZHANG ; Huirang HOU ; Qinghao MENG
Journal of Biomedical Engineering 2020;37(3):399-404
Studying the ability of the brain to recognize different odors is of great significance in the assessment and diagnosis of olfactory dysfunction. The wavelet energy moment (WEM) was proposed as a feature of olfactory electroencephalogram (EEG) signal and used for odor classification. Firstly, the olfactory evoked EEG data of 13 odors were collected by an experiment. Secondly, the WEM was extracted from olfactory evoked EEG data as the signal feature, and the power spectrum density (PSD), approximate entropy, sample entropy and wavelet entropy were used as the contrast features. Finally, -nearest neighbor ( -NN), support vector machine (SVM), random forest (RF) and decision tree classifier were used to identify different odors. The results showed that using the above four classifiers, the classification accuracy of WEM feature was higher than other features, and the -NN classifier combined with WEM feature had the highest classification accuracy (91.07%). This paper further explored the characteristics of different EEG frequency bands, and found that most of the classification accuracy based on the features of γ band was better than that of the full band and other bands, among which the WEM feature of the γ band combined with the -NN classifier had the highest classification accuracy (93.89 %). The research results of this paper could provide a new objective basis for the evaluation of olfactory function. On the other hand, it could also provide new ideas for the study of olfactory-induced emotions.
3.Identification and optimization of peptide inhibitors to block VISTA/PSGL-1 interaction for cancer immunotherapy.
Xiaoshuang NIU ; Menghan WU ; Guodong LI ; Xiuman ZHOU ; Wenpeng CAO ; Wenjie ZHAI ; Aijun WU ; Xiaowen ZHOU ; Shengzhe JIN ; Guanyu CHEN ; Yanying LI ; Jiangfeng DU ; Yahong WU ; Lu QIU ; Wenshan ZHAO ; Yanfeng GAO
Acta Pharmaceutica Sinica B 2023;13(11):4511-4522
Developing new therapeutic agents for cancer immunotherapy is highly demanding due to the low response ratio of PD-1/PD-L1 blockade in cancer patients. Here, we discovered that the novel immune checkpoint VISTA is highly expressed on a variety of tumor-infiltrating immune cells, especially myeloid derived suppressor cells (MDSCs) and CD8+ T cells. Then, peptide C1 with binding affinity to VISTA was developed by phage displayed bio-panning technique, and its mutant peptide VS3 was obtained by molecular docking based mutation. Peptide VS3 could bind VISTA with high affinity and block its interaction with ligand PSGL-1 under acidic condition, and elicit anti-tumor activity in vivo. The peptide DVS3-Pal was further designed by d-amino acid substitution and fatty acid modification, which exhibited strong proteolytic stability and significant anti-tumor activity through enhancing CD8+ T cell function and decreasing MDSCs infiltration. This is the first study to develop peptides to block VISTA/PSGL-1 interaction, which could act as promising candidates for cancer immunotherapy.