{"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}
引用次数: 1
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.