1.Current situation and problems of radioactive fallout monitoring by the Environmental Radiation Monitoring Network in China
Qin DU ; Yu ZHANG ; Xuejin FAN ; Xianbao GU ; Guobing YU
Chinese Journal of Radiological Health 2023;32(5):507-510
This paper investigates the current situation of fallout sample collection and preparation as well as radioactivity measurement methods in the Environmental Radiation Monitoring Network in China, analyzes the radioactivity levels of fallout nationwide in recent years, summarizes the problems in fallout measurement, and puts forward suggestions for improving fallout monitoring.
2.The influence of LncRNA MEG3 in temozolomide resistance of glioma cells
Jun Zhu ; Zhengchun Zhu ; Xuejin Qin ; Di Zhang ; Yuqiao Xi ; Jia Li ; Fei Zhong
Acta Universitatis Medicinalis Anhui 2022;57(10):1621-1626,1632
Objective :
To explore the effect of LncRNA MEG3 in temozolomide (TMZ) resistance of glioma cells.
Methods :
TMZ⁃resistant glioma cells U87(U87/TMZ) were constructed,qRT⁃PCR was used to detect the LncRNA
MEG3 expression level, and MTT was used to detect the cell proliferation ability. The LncRNA MEG3 in U87/TMZ was overexpressed by liposome method (pcDNA⁃MEG3 group), the empty vector was transfected as the empty vector group ( pcDNA group), and the conventionally cultured U87/TMZ was used as the blank group ( Control group),then treated with 10 μg/ml TMZ. The plasmid transfection effect was analyzed by qRT⁃PCR. The expression of LncRNA MEG3⁃related protein was confirmed by Western blot. The cell cloning experiment detects the effect of LncRNA MEG3 on cell proliferation. The effect of LncRNA MEG3 on cell invasion was tested by Transwell. The effect of LncRNA MEG3 on cell apoptosis was detected by flow cytometry. And mouse transplant tumoranimal model was constructed for in vivo experiments.
Results :
Compared with U87, the expression level of Ln cRNA MEG3 in U87/TMZ was lower (P < 0. 01), and the cell viability of U87/TMZ was higher than that of U87 (P < 0. 01) . After overexpression of MEG3 combined with TMZ, compared with the Control group and the pcDNA group, the pcDNA⁃MEG3 group up⁃regulated the expression of MEG3 mRNA and p53 protein, and down⁃regulated the expression of MDM2 protein, and the proliferation and invasion ability of the pcDNA⁃MEG3 group decreased while the apoptosis ability increased (P < 0. 01) . The construction of mouse transplant tumor animal model showed that the tumor volume and mass of the pcDNA⁃MEG3 group were reduced compared with the pcDNA group (P < 0. 01) .
Conclusion
Overexpression of LncRNA MEG3 can attenuate the drug resistance of TMZ⁃resistant glioma cells.
3.A novel nomogram-based model to predict the postoperative overall survival in patients with gastric and colorectal cancer
Siwen WANG ; Kangjing XU ; Xuejin GAO ; Tingting GAO ; Guangming SUN ; Yaqin XIAO ; Haoyang WANG ; Chenghao ZENG ; Deshuai SONG ; Yupeng ZHANG ; Lingli HUANG ; Bo LIAN ; Jianjiao CHEN ; Dong GUO ; Zhenyi JIA ; Yong WANG ; Fangyou GONG ; Junde ZHOU ; Zhigang XUE ; Zhida CHEN ; Gang LI ; Mengbin LI ; Wei ZHAO ; Yanbing ZHOU ; Huanlong QIN ; Xiaoting WU ; Kunhua WANG ; Qiang CHI ; Jianchun YU ; Yun TANG ; Guoli LI ; Li ZHANG ; Xinying WANG
Chinese Journal of Clinical Nutrition 2024;32(3):138-149
Objective:We aimed to develop a novel visualized model based on nomogram to predict postoperative overall survival.Methods:This was a multicenter, retrospective, observational cohort study, including participants with histologically confirmed gastric and colorectal cancer who underwent radical surgery from 11 medical centers in China from August 1, 2015 to June 30, 2018. Baseline characteristics, histopathological data and nutritional status, as assessed using Nutrition Risk Screening 2002 (NRS 2002) score and the scored Patient-Generated Subjective Global Assessment, were collected. The least absolute shrinkage and selection operator regression and Cox regression were used to identify variables to be included in the predictive model. Internal and external validations were performed.Results:There were 681 and 127 patients in the training and validation cohorts, respectively. A total of 188 deaths were observed over a median follow-up period of 59 (range: 58 to 60) months. Two independent predictors of NRS 2002 and Tumor-Node-Metastasis (TNM) stage were identified and incorporated into the prediction nomogram model together with the factor of age. The model's concordance index for 1-, 3- and 5-year overall survival was 0.696, 0.724, and 0.738 in the training cohort and 0.801, 0.812, and 0.793 in the validation cohort, respectively.Conclusions:In this study, a new nomogram prediction model based on NRS 2002 score was developed and validated for predicting the overall postoperative survival of patients with gastric colorectal cancer. This model has good differentiation, calibration and clinical practicability in predicting the long-term survival rate of patients with gastrointestinal cancer after radical surgery.