{"title":"通过网络透镜观察癌症的特征","authors":"E. Capobianco","doi":"10.14800/CCM.943","DOIUrl":null,"url":null,"abstract":"Given the role and relevance of the heterogeneity hallmark in cancer, a current need is to advance the knowledge of the network dynamics building the complex architecture underlying the relationships between cell sub-populations. This step would shed light over obscure mechanisms such as acquired resistance to drugs, for instance. Network medicine has established itself as a systems integrative approach that leverages on the interpretation offered by community-like behavior of bio-entities and clinical variables. Translated over cell sub-population cells, there is a strong case for deciphering cooperative versus antagonist network dynamics in order to determine better therapeutic strategies.","PeriodicalId":9576,"journal":{"name":"Cancer cell & microenvironment","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2015-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Cancer hallmarks through the network lens\",\"authors\":\"E. Capobianco\",\"doi\":\"10.14800/CCM.943\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Given the role and relevance of the heterogeneity hallmark in cancer, a current need is to advance the knowledge of the network dynamics building the complex architecture underlying the relationships between cell sub-populations. This step would shed light over obscure mechanisms such as acquired resistance to drugs, for instance. Network medicine has established itself as a systems integrative approach that leverages on the interpretation offered by community-like behavior of bio-entities and clinical variables. Translated over cell sub-population cells, there is a strong case for deciphering cooperative versus antagonist network dynamics in order to determine better therapeutic strategies.\",\"PeriodicalId\":9576,\"journal\":{\"name\":\"Cancer cell & microenvironment\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer cell & microenvironment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14800/CCM.943\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer cell & microenvironment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14800/CCM.943","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Given the role and relevance of the heterogeneity hallmark in cancer, a current need is to advance the knowledge of the network dynamics building the complex architecture underlying the relationships between cell sub-populations. This step would shed light over obscure mechanisms such as acquired resistance to drugs, for instance. Network medicine has established itself as a systems integrative approach that leverages on the interpretation offered by community-like behavior of bio-entities and clinical variables. Translated over cell sub-population cells, there is a strong case for deciphering cooperative versus antagonist network dynamics in order to determine better therapeutic strategies.