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基于網(wǎng)絡(luò)藥理學(xué)探討黃芩治療肺癌的有效成分和作用機制

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Abstract:ObjeciveToanalyethepotentialtargetsandmechansmofadixsuteliaeinthetreatmentoflungcancerbasedoetwork pharacologetodshecieomponntsndargegnesofdiutellieerebandPndeungnced wereobtainedyeCardndOaabasndeintersectioeesofttoeretakenTePetwkdagaofttio geneswasobtaiedusingteStringdatabaseandthGOanalysisndKEGGerichmentanalysisoftekeyargetgeneswereperfodusingthe R (2 softwareustelcagsultsotalofouds4opodgetsd4ngceadetd Therewere55odesnd8eodesinproteininteractionetworkGOfucioalrichentaalysisaied93ologicalprod KEGGpathwayeichentaalysisbained37igalingpathwayseainactivecomponentssuchsogoninicaleincacetind β 1 siosteroleredededUGAKa mainlyncludeEosallellgedialisiis radix scutellariae,such as wogonin,baicalein,acacetin and β -sitosterol,mayact onAKT1,IL6,HIF1A,JUN,CCND1,ESR1,PTGS2,VEGFAand othertargetstougAGERAGE,I7poptosisallcellungancer5ndhersigaigpathwandnplaeolefd scutellariae inanti-lung cancer,showing thecharacteristicsof multi-component,multi-targetand multi-pathway.

KeyWords:Network pharmacology;Radix scutellariae;Lung cancer;Active component

肺癌(lungcancer)作為全球范圍內(nèi)發(fā)病率和致死率均居于首位的惡性腫瘤類型,其的疾病負(fù)擔(dān)在臨床腫瘤學(xué)領(lǐng)域備受關(guān)注,從全球癌癥流行病學(xué)分布特征分析,肺癌呈現(xiàn)出顯著的疾病負(fù)擔(dān)二元性特征[1。(剩余11085字)

目錄
monitor