Study on medication regularity of traditional Chinese medicine cases in treatment of neoplastic fever based on data mining

Objective:To analyze the medication regularity of traditional Chinese medicine cases in treatment of neoplastic fever in order to guide clinical medication.Methods:The database of China National Knowledge Infrastructure,Vip database and WanFang medical network were searched.The cases involving traditional Chinese medicine prescription in the treatment of neoplastic fever were screened.After extracting the prescriptions and Chinese medicines,make statistics according to frequency analysis,cluster analysis and association analysis.Results:79 literatures were included which involving 123 decoctions.221 traditionalChinese medicines were included in the statistics,the most frequently used traditional Chinese medicines were Gancao,Chaihu,Huangqi and Shengdihuang.The proportion of heat-clearing drugs in Chinese medicines was the largest(23.98%).The most common property of the Chinese medicines is cold property,accounting for 51.13%.The higher frequencies of flavors of the Chinese medicines are bitter,sweet and acrid,the sum of which is 84.66%.The most common meridian of Chinese medicines is liver meridian,accounting for 19.82%.The cluster analysis and association analysis of high frequency Chinese medicines showed that high frequency Chinese medicines could form three clustering formulas,and could get 18 pairs of high frequency drug combinations.Conclusion:Traditional Chinese medicines for heat-clearing,deficiencytonifying,phlegm-resolving,blood stasis-dispeling are mostly used to the treatment of neoplastic fever.The results of cluster analysis and association analysis of high frequency traditional Chinese medicines can provide certain reference and guidance for clinical medication.

Mechanism of Weijing Decoction in the treatment of non-small cell lung cancer based on network pharmacology

Objective:To explore the potential mechanism of Weijing decoction in the treatment of non-small cell lung cancer based on the network pharmacology.Methods:The active constituent was collected based on the TCMSP database and the articles from CNKI and Pubmed databases.The targets of the active constituent were predicted by TCMSP database and Swiss Target Prediction.The drug-active components-targets network was built by utilizing Cytoscape3.7.2.OMIM,DrugBank,GeneCards and TTD databases were searched for the genes of NSCLC.Drug targets and disease targets were mapped and the protein-protein interaction(PPI)was acquired from the online STRING database.The hub genes were screened out through MCODE plug-in and the intersection targets were analyzed by Clue GO plug-in for GO functional enrichment and KEGG signaling pathway enrichment.Results:According to the threshold of OB≥30%and DL≥0.18,a total of 33 active components were selected.With 85 unique targets predicted,a total of 619 genes of NSCLC were obtained and 54 intersection targets were displayed through Venn diagram,among which the hub genes were EGFR、Casp3、MAPK8、PTGS2、JUN、TNF、JAK2,etc.GO enrichment analysis demonstrated vividly that the biological processes of Weijing decoction for NSCLC mainly focus on extrinsic apoptotic signaling pathway,nuclear receptor activity、positive regulation of blood vessel diameter.KEGG analysis illustrated that Weijing decoction might have an influence on Apoptosis signaling pathway,p53 signaling pathway,VEGF signaling pathway and so on.Conclusion:This article analyzed the main active constituent,hub genes,biological process and signaling pathways which were related to NSCLC on the basis of network of pharmacology,indicating that NSCLC can be treated by Weijing decoction through“multi-target and multi-pathway”.

Network pharmacology study on the mechanism of Shaoyao Gancao decoction in treating cancer pain

Objective:This paper aims to explore the key targets and mechanism of action of Shaoyao Gancao Decoction in the treatment of cancer pain.Methods:TCMSP database was adopted to screen the active components and potential targets of Shaoyao Gancao Decoction.Genecards and OMIM databases were used to collect disease targets for cancer pain.Cytoscape software was used to construct the drug-component-target-disease network diagram.STRING database was used to draw PPI network.Finally,gene ontology(GO)enrichment analysis and KEGG pathway enrichment analysis were performed on key targets.Results:There were 98 potential targets for the treatment of cancer pain in Shaoyao Gancao Decoction.The protein interaction network suggested that IL-6,VEGFA,CASP3,EGFR and MAPK8 may be the core targets for the treatment of cancer pain in Shaoyao Gancao Decoction.GO enrichment analysis showed 127 cellular biological processes,and KEGG pathway enrichment analysis showed 116 related signaling pathways,including MPAK,AGE-RAGE,TNF,ErbB and so on.Conclusions:The treatment of cancer pain by Shaoyao Gancao Decoction may be multi-target,multi-channel and multi-level.This consequence may provide ideas and basis for further research.