Medical Significance of Uterine Corpus Endometrial Carcinoma Patients Infected With SARS-CoV-2 and Pharmacological Characteristics of Plumbagin

被引:14
作者
Li, Yongming [1 ]
Yu, Songzuo [2 ]
Li, Yu [3 ]
Liang, Xiao [3 ]
Su, Min [3 ,4 ]
Li, Rong [3 ,4 ]
机构
[1] Guigang Maternal & Child Hlth Care Hosp, Dept Gynecol, Guigang, Peoples R China
[2] Guangxi Med Univ, Affiliated Hosp 8, Guigang City Peoples Hosp, Dept Neurosurg, Guigang, Peoples R China
[3] Guilin Med Univ, Lab Environm Pollut & Integrat Omics, Guilin, Peoples R China
[4] Guilin Med Univ, Guangxi Key Lab Tumor Immunol & Microenvironm, Guilin, Peoples R China
来源
FRONTIERS IN ENDOCRINOLOGY | 2021年 / 12卷
基金
中国国家自然科学基金;
关键词
cancer; clinical; pharmacologic (drug) therapy; target; mechanism and characterization; NETWORK PHARMACOLOGY; VITAMIN-C; CANCER; MECHANISMS; TARGETS; COVID-19;
D O I
10.3389/fendo.2021.714909
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Clinically, evidence shows that uterine corpus endometrial carcinoma (UCEC) patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) may have a higher death-rate. However, current anti-UCEC/coronavirus disease 2019 (COVID-19) treatment is lacking. Plumbagin (PLB), a pharmacologically active alkaloid, is an emerging anti-cancer inhibitor. Accordingly, the current report was designed to identify and characterize the anti-UCEC function and mechanism of PLB in the treatment of patients infected with SARS-CoV-2 via integrated in silico analysis. Methods The clinical analyses of UCEC and COVID-19 in patients were conducted using online-accessible tools. Meanwhile, in silico methods including network pharmacology and biological molecular docking aimed to screen and characterize the anti-UCEC/COVID-19 functions, bio targets, and mechanisms of the action of PLB. Results The bioinformatics data uncovered the clinical characteristics of UCEC patients infected with SARS-CoV-2, including specific genes, health risk, survival rate, and prognostic index. Network pharmacology findings disclosed that PLB-exerted anti-UCEC/COVID-19 effects were achieved through anti-proliferation, inducing cytotoxicity and apoptosis, anti-inflammation, immunomodulation, and modulation of some of the key molecular pathways associated with anti-inflammatory and immunomodulating actions. Following molecular docking analysis, in silico investigation helped identify the anti-UCEC/COVID-19 pharmacological bio targets of PLB, including mitogen-activated protein kinase 3 (MAPK3), tumor necrosis factor (TNF), and urokinase-type plasminogen activator (PLAU). Conclusions Based on the present bioinformatic and in silico findings, the clinical characterization of UCEC/COVID-19 patients was revealed. The candidate, core bio targets, and molecular pathways of PLB action in the potential treatment of UCEC/COVID-19 were identified accordingly.
引用
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页数:12
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