Study Of Therapeutic Reginen And Core Prescription Based On Data Mining Ovarian Cancer With TCM Treatment

Study 1: Research on Data MiningObjective: To analyze the Tradictional Chinese Medicine prescriptions in the journal papers on the treatment of ovarian cancer with Traditional Chinese Medicine published in CKNI by using the method of data mining,and summarize,summarize and analyze the characteristics and laws of Traditional Chinese Medicine in the treatment of ovarian cancer.Methods: The journal papers on the treatment of ovarian cancer with Traditional Chinese Medicine published in CKNI from January 2001 to March 2021 were searched.The literature was screened through the inclusion and exclusion criteria,and then the prescription information was extracted from the literature and standardized.The processed data information was made into a Traditional Chinese Medicine prescription data table by Microsoft Excel 2019,and the Traditional Chinese Medicine,drug properties,drug taste the frequency and frequency of drug meridian tropism and drug efficacy were statistically analyzed.Finally,Spss statistic 24.0 and Spss molder 18.0cluster and association rule analysis of traditional Chinese medicine prescription data table.Results:(1)A total of 632 literatures were collected,most of which were clinical trial research and expert experience summary of Traditional Chinese Medicine.Finally,68 literatures were included and 74 Traditional Chinese Medicine prescriptions were extracted.(2)Overall analysis results: among the 74 prescriptions of Traditional Chinese Medicine,there were 213 Traditional Chinese Medicine,and the cumulative frequency of drugs was 1088 times.Among them,74 prescriptions mainly correspond to Qi deficiency and blood stasis syndrome and phlegm accumulation and toxin accumulation syndrome;The top 1% of 213 Traditional Chinese Medicines were Astragalus membranaceus,Atractylodes macrocephala,zedoary turmeric,Poria cocos,Hedyotis diffusa,licorice,Codonopsis pilosula,Angelica sinensis,Scutellaria barbadensis,Sparganium,coix seed,white peony,yam,tangerine peel,Ligustrum lucidum,peach kernel,Cinnamon Twig,Solanum nigrum,Radix Pseudostellariae,Radix Bupleuri and Chinese wolfberry.The highest proportion of drug properties were warm,cold and flat,and the highest proportion of drug flavors were sweet,bitter and pungent,The meridians of drugs are mainly classified into spleen meridians,liver meridians,lung meridians and stomach meridians.(3)Results of cluster and association analysis: Astragalus membranaceus,Atractylodes macrocephala,zedoary turmeric,Sparganium,and Hedyotis diffusa have a high degree of association with other Traditional Chinese Medicine.In the two association rules,"Curcuma-Sparganium","Astragalus-Sparganium","Astragalus-Atractylodes macrocephala" and "Hedyotis diffusa-Atractylodes macrocephala" have a strong association.In the three association rules,"Astragalus-Atractylodes macrocephala-yam" "Atractylodes macrocephala-Sparganium-Hedyotis diffusa","Atractylodes macrocephala-zedoary","Astragalus-Sparganium-Hedyotis diffusa" are highly correlated.Among the four association rules,"Astragalus-zedoary-Hedyotis diffusa-Atractylodes macrocephala" is highly correlated.High frequency Traditional Chinese Medicine can be divided into three groups: C1: Astragalus membranaceus,zedoary turmeric,medlar,Ligustrum lucidum,Sparganium,Atractylodes macrocephala,tangerine peel,Hedyotis diffusa,yam,licorice and pseudoginseng;C2: peach kernel,Cinnamon Twig,tuckahoe,Codonopsis pilosula;C3: Scutellaria barbata,coix seed,Angelica sinensis,white peony,bupleurum,Solanum nigrum.Conclusion: It is found that Traditional Chinese Medicine in the treatment of ovarian cancer mostly adopts the combination of deficiency tonifying drugs,blood activating and stasis removing drugs and heat clearing and detoxification drugs for syndrome differentiation.The drug properties mostly use warm,flat or cold Traditional Chinese Medicine,the drug flavor mostly uses sweet,pungent or bitter Traditional Chinese Medicine,and the drug meridian is mostly used in the treatment of spleen meridian,liver meridian,lung meridian and stomach meridian.In the clinical treatment of the real world,Astragalus membranaceus,Atractylodes macrocephala,zedoary turmeric,Sparganium and Hedyotis diffusa were selected as the core drugs for syndrome differentiation and treatment.Study 2: Research on network pharmacologyObjective: To analyze the main active components and action targets of the core compound "Astragalus-Atractylodes macrocephala-zedoary-Sparganium-Hedyotis diffusa" by using the method of network pharmacology,and to reveal the possible mechanism of Traditional Chinese Medicine in the treatment of ovarian cancer at the system level.Methods: Tcmsp was used to search and collect the main active chemical components of core compound Traditional Chinese Medicine,and OB ≥ 30% and DL ≥0 18.Tcmsp drug targeted prediction model(Related Targets)was used to predict the potential targets of the main active components of the core compound;Use Uni Prot to normalize the obtained potential protein targets,set the species source as "Human",and select "Reviewed";Genecards was used to retrieve the relevant target information of ovarian cancer,and the screening keyword was set as "ovarian cancer";Then use venny 21.0 take the intersection of the targets of the main active components of the core compound and the important targets of ovarian cancer related pathogenesis;Use string to PPI the intersection target,set the target type as "Homo sapiens",and get the key target;Finally,Metascape is used to do KEGG and GO(BP,MF,CC)enrichment analysis for key targets.Results:(1)32 active components were extracted from the core compound,including 17 Astragalus,4 Atractylodes macrocephala,1 zedoary,5 Sparganium and 5Hedyotis diffusa;A total of 865 active components were extracted,including 441 Astragalus,22 Atractylodes macrocephala,22 zedoary turmeric,133 Sparganium and247 Hedyotis diffusa;A total of 1048 important targets related to the pathogenesis of ovarian cancer were collected;104 target genes were obtained from the intersection;After PPI treatment,52 key targets were obtained.(2)Among the main active ingredients of the core compound,quercetin β-Sitosterol,7-o-methylisoxylitol,formononetin,kaempferol,2-methoxy-3-methyl-9,10-anthraquinone,ivy,stigmasterol and isorhamnetin,as important components,have a large number of targets.Among them,there are 8 core targets,namely TP53(cell tumor antigen p53),ESR1(estrogen receptor)and AKT1(RAC)-α Serine / threonine protein kinase),myc(myc proto oncogene protein),VEGFA(vascular endothelial growth factor a),CASP3(caspase-3),EGFR(epidermal growth factor receptor),Jun(transcription factor AP-1).Key targets are mainly through the pathway of cancer,mitochondrial autophagy-animals,transcriptional disorders in cancer,insulin resistance and TGF-β Signaling pathways,necrotic apoptosis,thyroid hormone signaling pathways,AGE-RAGE signaling pathways in the role of diabetes complications,lipid and atherosclerosis,pancreatic cancer,plaque,endocrine resistance,prolactin signaling pathway,cell cycle,inflammatory bowel disease,p53 signaling pathway,NF-κ B signal pathway,HIF-1signal pathway and JAK-STAT signal pathway play a therapeutic role;It is mainly distributed in protein DNA complex,membrane raft,PML body,serine threonine protein kinase complex,nuclear membrane,plasma membrane protein complex,vesicle cavity,endoplasmic reticulum cavity,transcription regulatory complex,centrosome,membrane side and other cellular components.Biological processes mainly involve the positive regulation of cell migration,response to cytokines,response to hormones,negative regulation of cell differentiation Positive regulation of cell death,regulation of apoptosis signal pathway,gland development,regulation of smooth muscle cell proliferation,regulation of cell adhesion,response to growth factors,reproductive structure development,cell response to lipids,response to inorganic substances,regulation of proteolysis,response to peptides and development of hematopoietic or lymphoid organs.Molecular biological functions mainly involve kinase binding Protease binding and p53 binding,p53 binding,cytokine receptor binding,protein kinase activity,scaffold protein binding,cysteine endopeptidase activity involved in the execution stage of apoptosis,general transcription initiation factor binding,cyclin dependent protein,nuclear receptor binding,protein domain specific binding Nitric oxide synthase regulator activity and chemokine receptor binding,ubiquitin like protein ligase binding and so on.Conclusion: It is considered that Traditional Chinese Medicine mainly acts on TP53(cell tumor antigen p53),ESR1(estrogen receptor)and AKT1(RAC)in the treatment of ovarian cancer-α Serine / threonine protein kinase),myc(myc proto oncogene protein),VEGFA(vascular endothelial growth factor a),CASP3(caspase-3),EGFR(epidermal growth factor receptor),Jun(transcription factor AP-1)and other targets,and through the pathway of cancer,mitochondrial autophagy-animals,transcriptional imbalance in cancer,insulin resistance,TGF-β Signaling pathways,necrotic apoptosis,thyroid hormone signaling pathways,AGE-RAGE signaling pathways in the role of diabetes complications,lipid and atherosclerosis,pancreatic cancer,plaque,endocrine resistance,prolactin signaling pathway,cell cycle,inflammatory bowel disease,p53 signaling pathway,NF-κ B signaling pathway,HIF-1signaling pathway and JAK-STAT signaling pathway play a therapeutic role.