1.Clinical Efficacy of Docetaxel Combined with Fluorouracil in the Treatment of Advanced Gastric Carcino-ma
Lili GU ; Xiaolian LI ; Ye CHEN
China Pharmacist 2015;(5):804-806
Objective:To observe the clinical efficacy and safety of docetaxel combined with 5-fluorouracil in the treatment of pa-tients with advanced gastric cancer. Methods:Totally 84 cases of gastric cancer patients were randomly divided into group A and group B with 42 ones in each. Group A was given chemotherapy of docetaxel combined with 5-fluorouracil, and group B was treated with chemotherapy of Tegafur combined with docetaxel. One cycle was 21 days, and the patients were given at least two cycles of chemother-apy. The recent clinical curative effect, physical state improvement and adverse reactions in the two groups after the treatment were ob-served. Results:The total effective rate of the two groups showed no significant difference (P<0. 05), however, the physical state improvement rate of group A (40. 48%) was significantly higher than that of group B (20. 24%) with statistical significance (P<0. 05). The incidence of thrombocytopenia and neutropenia decrease of group A was significantly lower than that of group B with statis-tically significant difference (P<0. 05). Conclusion:The treatment of advanced gastric cancer patients with docetaxel combined with 5-fluorouracil can achieve significant clinical efficacy with relatively mild toxicity,it can significantly improve the physical state of pa-tient.
2.Clinical study on relationship between Helicobacter pylori infection and type 2 diabetes complications
Weiping PENG ; Chunsong WU ; Xiaolian YE ; Suqiong TANG ; Dengpeng HUANG
Chinese Journal of Postgraduates of Medicine 2013;36(22):26-28
Objective To investigate the relationship between Helicobacter prlori (Hp) infection and type 2 diabetes related complications.Methods Eighty-five patients with type 2 diabetes had been tested and divided into Hp negative group (42 cases) and Hp positive group (43 cases),the triglyceride (TG),low density lipoprotein cholesterol (LDL-C),fasting plasma glucose (FPG),glycosylated hemoglobin (HbA1c),tumor necrosis factor-α (TNF-α) and complications occurred were compared between two groups.Results The TG,LDL-C,FPG,HbA1c and TNF-α in Hp positive group was significantly higher than that in Hp negative group [(4.83 ± 0.95) mmol/L vs.(3.03 ± 0.75) mmol/L,(4.99 ± 0.96) mmol/L vs.(3.91 ±0.87)mmol/L,(10.85 ±2.97) mmol/L vs.(8.11 ±2.69) mmol/L,(9.35 ± 1.96)% vs.(7.08 ± 1.53)%,(7.33 ± 0.78) ng/L vs.(3.65 ± 0.98) ng/L] (P< 0.01).The cardiovascular disease,cerebrovascular disease,kidney disease,retinal changes and podiatric complication rate in Hp positive group was 51.16% (22/43),37.21%(16/43),27.91%(12/43),34.88%(15/43),23.26%(10/43),significantly higher than that in Hp negative group [28.57% (12/42),16.67% (7/42),9.52% (4/42),14.29% (6/42),7.14% (3/42)],there was significant difference between two groups (P < 0.05).Conclusion Type 2 diabetes Hp infection can make the higher TG,LDL-C,FPG,HbA1c,TNF-α and can increase the risk of diabetes complications.
3.RITA selectively inhibits proliferation of BAP1-deficient cutaneous melanoma cells in vitro.
Wenhui SHI ; Xiaolian LIU ; Guiming ZHANG ; Linxuan YE ; Runhua ZHOU ; Yilei LI ; Le YU
Journal of Southern Medical University 2023;43(5):710-717
OBJECTIVE:
To screen for small molecular compounds with selective inhibitory activity against cutaneous melanoma cells with BAP1 deletion.
METHODS:
Cutaneous melanoma cells expressing wild-type BAP1 were selected to construct a BAP1 knockout cell model using CRISPR-Cas9 system, and small molecules with selective inhibitory activity against BAP1 knockout cells were screened from a compound library using MTT assay. Rescue experiment was carried out to determine whether the sensitivity of BAP1 knockout cells to the candidate compounds was directly related to BAP1 deletion. The effects of the candidate compounds on cell cycle and apoptosis were detected with flow cytometry, and the protein expressions in the cells were analyzed with Western blotting.
RESULTS:
The p53 activator RITA from the compound library was shown to selectively inhibit the viability of BAP1 knockout cells. Overexpression of wild-type BAP1 reversed the sensitivity of BAP1 knockout cells to RITA, while overexpression of the mutant BAP1 (C91S) with inactivated ubiquitinase did not produce any rescue effect. Compared with the control cells expressing wild-type BAP1, BAP1 knockout cells were more sensitive to RITA-induced cell cycle arrest and apoptosis (P < 0.0001) and showed an increased expression of p53 protein, which was further increased by RITA treatment (P < 0.0001).
CONCLUSION
Loss of BAP1 results in the sensitivity of cutaneous melanoma cells to p53 activator RITA. In melanoma cells, the activity of ubiquitinase in BAP1 is directly related to their sensitivity to RITA. An increased expression of p53 protein induced by BAP1 knockout is probably a key reason for RITA sensitivity of melanoma cells, suggesting the potential of RITA as a targeted therapeutic agent for cutaneous melanoma carrying BAP1-inactivating mutations.
Humans
;
Melanoma
;
Skin Neoplasms
;
Tumor Suppressor Protein p53
;
Apoptosis
;
Cell Division
;
Tumor Suppressor Proteins/genetics*
;
Ubiquitin Thiolesterase/genetics*
4.Serological evaluation and antibody prediction model for inactivated COVID-19 vaccination in school children
Li ZHANG ; Yingfeng CHEN ; Chuanwu MAO ; Yuyang XIE ; Pinkai YE ; Xiaolian DONG ; Lufang JIANG ; Qingwu JIANG
Shanghai Journal of Preventive Medicine 2024;36(4):368-374
ObjectiveTo determine the serum antibody level and risk factors in the adolescent population in a county in Zhejiang Province, following the immunization with inactivated COVID-19 vaccine, and to construct a prediction model for antibody concentration. MethodsWe conducted the study in a county in Zhejiang Province, employing a stratified cluster random sampling strategy in school children who had received the inactivated COVID-19 vaccine. Data on gender, age, type of vaccine, and time of vaccination was collected. Serum samples were also collected to test for anti-S and N IgG antibody against the SARS-CoV-2 by using chemiluminescent immunoassay (CLIA). Risk factors were determined to construct a prediction model for antibody concentration. ResultsThe IgG antibody concentration was significantly higher in girls, those who received two doses, and those who had simply received the KX vaccine . It decreased with age and time interval between the sampling and last vaccination. The prediction model constructed by random forest regression in the study had a better model fit and predictive ability than that by the multivariable linear stepwise regression. ConclusionGender, age, vaccination dose, type of vaccine, and time of vaccination are associated with vaccination effectiveness of inactivated COVID-19 vaccines in adolescents. Prediction model could predict the antibody level in the vaccinated population, which can provide a new tool for better evaluation of vaccination effectiveness against emerging infectious diseases in future.