{"title":"利用单细胞转录组学预测哪些肿瘤会对靶向疗法产生反应","authors":"","doi":"10.1038/s43018-024-00757-6","DOIUrl":null,"url":null,"abstract":"We performed a proof-of-concept study showing that single-cell RNA sequencing, a method for capturing rich tumor information (not yet in clinics owing to high costs), can be used to identify patients likely to respond to targeted therapy and to monitor the emergence of resistance.","PeriodicalId":18885,"journal":{"name":"Nature cancer","volume":"5 6","pages":"825-826"},"PeriodicalIF":23.5000,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using single-cell transcriptomics to predict which tumors will respond to targeted therapy\",\"authors\":\"\",\"doi\":\"10.1038/s43018-024-00757-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We performed a proof-of-concept study showing that single-cell RNA sequencing, a method for capturing rich tumor information (not yet in clinics owing to high costs), can be used to identify patients likely to respond to targeted therapy and to monitor the emergence of resistance.\",\"PeriodicalId\":18885,\"journal\":{\"name\":\"Nature cancer\",\"volume\":\"5 6\",\"pages\":\"825-826\"},\"PeriodicalIF\":23.5000,\"publicationDate\":\"2024-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.nature.com/articles/s43018-024-00757-6\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature cancer","FirstCategoryId":"3","ListUrlMain":"https://www.nature.com/articles/s43018-024-00757-6","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
Using single-cell transcriptomics to predict which tumors will respond to targeted therapy
We performed a proof-of-concept study showing that single-cell RNA sequencing, a method for capturing rich tumor information (not yet in clinics owing to high costs), can be used to identify patients likely to respond to targeted therapy and to monitor the emergence of resistance.
期刊介绍:
Cancer is a devastating disease responsible for millions of deaths worldwide. However, many of these deaths could be prevented with improved prevention and treatment strategies. To achieve this, it is crucial to focus on accurate diagnosis, effective treatment methods, and understanding the socioeconomic factors that influence cancer rates.
Nature Cancer aims to serve as a unique platform for sharing the latest advancements in cancer research across various scientific fields, encompassing life sciences, physical sciences, applied sciences, and social sciences. The journal is particularly interested in fundamental research that enhances our understanding of tumor development and progression, as well as research that translates this knowledge into clinical applications through innovative diagnostic and therapeutic approaches. Additionally, Nature Cancer welcomes clinical studies that inform cancer diagnosis, treatment, and prevention, along with contributions exploring the societal impact of cancer on a global scale.
In addition to publishing original research, Nature Cancer will feature Comments, Reviews, News & Views, Features, and Correspondence that hold significant value for the diverse field of cancer research.