{"title":"通过精确诊断实现精确肿瘤学。","authors":"Noah A Brown, Kojo S J Elenitoba-Johnson","doi":"10.1146/annurev-pathmechdis-012418-012735","DOIUrl":null,"url":null,"abstract":"<p><p>Genomic testing enables clinical management to be tailored to individual cancer patients based on the molecular alterations present within cancer cells. Genomic sequencing results can be applied to detect and classify cancer, predict prognosis, and target therapies. Next-generation sequencing has revolutionized the field of cancer genomics by enabling rapid and cost-effective sequencing of large portions of the genome. With this technology, precision oncology is quickly becoming a realized paradigm for managing the treatment of cancer patients. However, many challenges must be overcome to efficiently implement the transition of next-generation sequencing from research applications to routine clinical practice, including using specimens commonly available in the clinical setting; determining how to process, store, and manage large amounts of sequencing data; determining how to interpret and prioritize molecular findings; and coordinating health professionals from multiple disciplines.</p>","PeriodicalId":50753,"journal":{"name":"Annual Review of Pathology-Mechanisms of Disease","volume":"15 ","pages":"97-121"},"PeriodicalIF":28.4000,"publicationDate":"2020-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev-pathmechdis-012418-012735","citationCount":"38","resultStr":"{\"title\":\"Enabling Precision Oncology Through Precision Diagnostics.\",\"authors\":\"Noah A Brown, Kojo S J Elenitoba-Johnson\",\"doi\":\"10.1146/annurev-pathmechdis-012418-012735\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Genomic testing enables clinical management to be tailored to individual cancer patients based on the molecular alterations present within cancer cells. Genomic sequencing results can be applied to detect and classify cancer, predict prognosis, and target therapies. Next-generation sequencing has revolutionized the field of cancer genomics by enabling rapid and cost-effective sequencing of large portions of the genome. With this technology, precision oncology is quickly becoming a realized paradigm for managing the treatment of cancer patients. However, many challenges must be overcome to efficiently implement the transition of next-generation sequencing from research applications to routine clinical practice, including using specimens commonly available in the clinical setting; determining how to process, store, and manage large amounts of sequencing data; determining how to interpret and prioritize molecular findings; and coordinating health professionals from multiple disciplines.</p>\",\"PeriodicalId\":50753,\"journal\":{\"name\":\"Annual Review of Pathology-Mechanisms of Disease\",\"volume\":\"15 \",\"pages\":\"97-121\"},\"PeriodicalIF\":28.4000,\"publicationDate\":\"2020-01-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1146/annurev-pathmechdis-012418-012735\",\"citationCount\":\"38\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annual Review of Pathology-Mechanisms of Disease\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1146/annurev-pathmechdis-012418-012735\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PATHOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Review of Pathology-Mechanisms of Disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1146/annurev-pathmechdis-012418-012735","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PATHOLOGY","Score":null,"Total":0}
Enabling Precision Oncology Through Precision Diagnostics.
Genomic testing enables clinical management to be tailored to individual cancer patients based on the molecular alterations present within cancer cells. Genomic sequencing results can be applied to detect and classify cancer, predict prognosis, and target therapies. Next-generation sequencing has revolutionized the field of cancer genomics by enabling rapid and cost-effective sequencing of large portions of the genome. With this technology, precision oncology is quickly becoming a realized paradigm for managing the treatment of cancer patients. However, many challenges must be overcome to efficiently implement the transition of next-generation sequencing from research applications to routine clinical practice, including using specimens commonly available in the clinical setting; determining how to process, store, and manage large amounts of sequencing data; determining how to interpret and prioritize molecular findings; and coordinating health professionals from multiple disciplines.
期刊介绍:
The Annual Review of Pathology: Mechanisms of Disease is a scholarly journal that has been published since 2006. Its primary focus is to provide a comprehensive overview of recent advancements in our knowledge of the causes and development of significant human diseases. The journal places particular emphasis on exploring the current and evolving concepts of disease pathogenesis, as well as the molecular genetic and morphological changes associated with various diseases. Additionally, the journal addresses the clinical significance of these findings.
In order to increase accessibility and promote the broad dissemination of research, the current volume of the journal has transitioned from a gated subscription model to an open access format. This change has been made possible through the Annual Reviews' Subscribe to Open program, which allows all articles published in this volume to be freely accessible to readers. As part of this transition, all articles in the journal are published under a Creative Commons Attribution (CC BY) license, which encourages open sharing and use of the research.