{"title":"Epigenetic scars of Brca1 loss point toward breast cancer cell of origin","authors":"Steven M. Lewis, Camila dos Santos","doi":"10.1038/s41588-024-02021-0","DOIUrl":null,"url":null,"abstract":"The two-hit hypothesis suggests that a second mutation is necessary for cancer development in cells with a defective tumor-suppressor gene, such as BRCA1. However, a study now shows that the loss of just one Brca1 allele in mice can pre-program cells for cancer-promoting changes, indicating cancer may progress earlier than previously thought.","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":"18 1","pages":""},"PeriodicalIF":31.7000,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1038/s41588-024-02021-0","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
The two-hit hypothesis suggests that a second mutation is necessary for cancer development in cells with a defective tumor-suppressor gene, such as BRCA1. However, a study now shows that the loss of just one Brca1 allele in mice can pre-program cells for cancer-promoting changes, indicating cancer may progress earlier than previously thought.
期刊介绍：
Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation.
Integrative genetic topics comprise, but are not limited to:
-Genes in the pathology of human disease
-Molecular analysis of simple and complex genetic traits
-Cancer genetics
-Agricultural genomics
-Developmental genetics
-Regulatory variation in gene expression
-Strategies and technologies for extracting function from genomic data
-Pharmacological genomics
-Genome evolution
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