{"title":"从进化的角度预测前列腺癌复发的风险。","authors":"","doi":"10.1038/s43018-024-00792-3","DOIUrl":null,"url":null,"abstract":"Current prostate cancer risk predictors are not able to fully capture a patient’s risk of recurrence at the time of diagnosis. Evolutionary metrics of tumor diversity, based on low-cost sequencing and digital pathology, might provide a new dimension of information to close the gap between prediction and outcome.","PeriodicalId":18885,"journal":{"name":"Nature cancer","volume":null,"pages":null},"PeriodicalIF":23.5000,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting the risk of prostate cancer recurrence through the lens of evolution\",\"authors\":\"\",\"doi\":\"10.1038/s43018-024-00792-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Current prostate cancer risk predictors are not able to fully capture a patient’s risk of recurrence at the time of diagnosis. Evolutionary metrics of tumor diversity, based on low-cost sequencing and digital pathology, might provide a new dimension of information to close the gap between prediction and outcome.\",\"PeriodicalId\":18885,\"journal\":{\"name\":\"Nature cancer\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":23.5000,\"publicationDate\":\"2024-07-23\",\"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/s43018-024-00792-3\",\"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/s43018-024-00792-3","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
Predicting the risk of prostate cancer recurrence through the lens of evolution
Current prostate cancer risk predictors are not able to fully capture a patient’s risk of recurrence at the time of diagnosis. Evolutionary metrics of tumor diversity, based on low-cost sequencing and digital pathology, might provide a new dimension of information to close the gap between prediction and outcome.
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.
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