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网络药理学结合分子对接探索芫青治疗肺腺癌的作用机制。

Network Pharmacology Integrated Molecular Docking to Explore the Mechanism of Blister Beetle Therapy for Lung Adenocarcinoma.

机构信息

Department of Thoracic Surgery II, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Kunming 650118, China.

Department of Thyroid Breast Surgery, The Second Affiliated Hospital of Kunming Medical University, Kunming 650101, China.

出版信息

Contrast Media Mol Imaging. 2022 Jul 14;2022:1892384. doi: 10.1155/2022/1892384. eCollection 2022.

Abstract

Lung adenocarcinoma (LUAD) is one of the major causes of cancer death in the world. Studies show that the effective anticancer component in blister beetles is cantharidin, which can improve chemotherapy efficacy, median survival, and prognosis of LUAD. However, the antitumor mechanism of blister beetles has not been fully clarified. This study aimed to identify the key targets of the treatment of LUAD by blister beetles based on the principle of network pharmacology. An integrated approach including network pharmacology and a molecular docking technique was conducted, which mainly comprises target prediction, weighted gene correlation network analysis (WGCNA) analysis, network construction, gene ontology, and pathway enrichment analysis. 35 key targets were obtained and significantly associated with response to external stimuli, collagen binding, cyclin binding, organic acid binding, pyruvate metabolism, glycolysis, and amino acid biosynthesis pathways. Both LASSO regression and the RF model had a high predictive ability, and 9 candidate genes were screened, among which BIRC5 and PLK1 were the key targets for the treatment of LUAD by using blister beetles and showed significant survival significance. Cantharidin exerts its antitumor effects through 8 targets in 32 pathways, while BIRC5 and PLK1 have obvious survival significance.

摘要

肺腺癌 (LUAD) 是世界上癌症死亡的主要原因之一。研究表明,斑蝥中的有效抗癌成分是斑蝥素,它可以提高 LUAD 的化疗疗效、中位生存期和预后。然而,斑蝥的抗肿瘤机制尚未完全阐明。本研究旨在基于网络药理学原理,确定斑蝥治疗 LUAD 的关键靶点。采用网络药理学和分子对接技术相结合的综合方法,进行了靶点预测、加权基因相关网络分析(WGCNA)分析、网络构建、基因本体论和通路富集分析。获得了 35 个关键靶点,这些靶点与对外界刺激的反应、胶原结合、周期蛋白结合、有机酸结合、丙酮酸代谢、糖酵解和氨基酸生物合成途径显著相关。LASSO 回归和 RF 模型均具有较高的预测能力,筛选出 9 个候选基因,其中 BIRC5 和 PLK1 是斑蝥治疗 LUAD 的关键靶点,具有显著的生存意义。斑蝥素通过 32 条通路中的 8 个靶点发挥其抗肿瘤作用,而 BIRC5 和 PLK1 具有明显的生存意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efdc/9303499/f70ee536aded/CMMI2022-1892384.001.jpg

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