{"title":"A simple genomic score to predict progression of multiple myeloma","authors":"","doi":"10.1038/s41588-025-02199-x","DOIUrl":null,"url":null,"abstract":"The ‘multiple myeloma-like’ genomic score identifies somatic mutations that are more commonly found in active forms of multiple myeloma. In patients with a precursor stage of multiple myeloma, this score helps in predicting who is at a higher risk of progressing to an active form of cancer and may benefit from early therapeutic interventions.","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":"5 1","pages":""},"PeriodicalIF":31.7000,"publicationDate":"2025-05-30","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/s41588-025-02199-x","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 ‘multiple myeloma-like’ genomic score identifies somatic mutations that are more commonly found in active forms of multiple myeloma. In patients with a precursor stage of multiple myeloma, this score helps in predicting who is at a higher risk of progressing to an active form of cancer and may benefit from early therapeutic interventions.
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