Riccardo Scandino, Agostina Nardone, Nicola Casiraghi, Francesca Galardi, Mattia Genovese, Dario Romagnoli, Marta Paoli, Chiara Biagioni, Andrea Tonina, Ilenia Migliaccio, Marta Pestrin, Erica Moretti, Luca Malorni, Laura Biganzoli, Matteo Benelli, Alessandro Romanel
{"title":"通过乳腺癌体细胞拷贝数畸变实现ctDNA的敏感和精确检测。","authors":"Riccardo Scandino, Agostina Nardone, Nicola Casiraghi, Francesca Galardi, Mattia Genovese, Dario Romagnoli, Marta Paoli, Chiara Biagioni, Andrea Tonina, Ilenia Migliaccio, Marta Pestrin, Erica Moretti, Luca Malorni, Laura Biganzoli, Matteo Benelli, Alessandro Romanel","doi":"10.1038/s41523-025-00739-6","DOIUrl":null,"url":null,"abstract":"<p><p>Cell-free DNA (cfDNA) extracted from peripheral blood has emerged as a crucial biomarker source in oncology research. To enhance the detection of somatic copy number alterations (SCNAs) and circulating tumor DNA (ctDNA), we developed eSENSES, a 2 Mb breast cancer-targeted NGS panel. It includes 15,000 genome-wide SNPs, 500 focal SNPs in breast cancer driver regions, and exons from 81 commonly altered genes, alongside a custom computational approach. We assessed the performance of eSENSES using both synthetic and clinical samples showing that eSENSES can detect ctDNA levels below 1%, exhibiting high sensitivity and specificity at 2-3% ctDNA levels. In patients with metastatic breast cancer, ctDNA estimations correlated with disease progression. When compared with other technologies and state-of-the-art approaches, eSENSES demonstrated enhanced performance. eSENSES provides a reliable, powerful and cost-effective tool for monitoring disease progression and guiding therapeutic decisions in breast cancer patients.</p>","PeriodicalId":19247,"journal":{"name":"NPJ Breast Cancer","volume":"11 1","pages":"25"},"PeriodicalIF":7.6000,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11890748/pdf/","citationCount":"0","resultStr":"{\"title\":\"Enabling sensitive and precise detection of ctDNA through somatic copy number aberrations in breast cancer.\",\"authors\":\"Riccardo Scandino, Agostina Nardone, Nicola Casiraghi, Francesca Galardi, Mattia Genovese, Dario Romagnoli, Marta Paoli, Chiara Biagioni, Andrea Tonina, Ilenia Migliaccio, Marta Pestrin, Erica Moretti, Luca Malorni, Laura Biganzoli, Matteo Benelli, Alessandro Romanel\",\"doi\":\"10.1038/s41523-025-00739-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Cell-free DNA (cfDNA) extracted from peripheral blood has emerged as a crucial biomarker source in oncology research. To enhance the detection of somatic copy number alterations (SCNAs) and circulating tumor DNA (ctDNA), we developed eSENSES, a 2 Mb breast cancer-targeted NGS panel. It includes 15,000 genome-wide SNPs, 500 focal SNPs in breast cancer driver regions, and exons from 81 commonly altered genes, alongside a custom computational approach. We assessed the performance of eSENSES using both synthetic and clinical samples showing that eSENSES can detect ctDNA levels below 1%, exhibiting high sensitivity and specificity at 2-3% ctDNA levels. In patients with metastatic breast cancer, ctDNA estimations correlated with disease progression. When compared with other technologies and state-of-the-art approaches, eSENSES demonstrated enhanced performance. eSENSES provides a reliable, powerful and cost-effective tool for monitoring disease progression and guiding therapeutic decisions in breast cancer patients.</p>\",\"PeriodicalId\":19247,\"journal\":{\"name\":\"NPJ Breast Cancer\",\"volume\":\"11 1\",\"pages\":\"25\"},\"PeriodicalIF\":7.6000,\"publicationDate\":\"2025-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11890748/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NPJ Breast Cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s41523-025-00739-6\",\"RegionNum\":2,\"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":"NPJ Breast Cancer","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41523-025-00739-6","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
Enabling sensitive and precise detection of ctDNA through somatic copy number aberrations in breast cancer.
Cell-free DNA (cfDNA) extracted from peripheral blood has emerged as a crucial biomarker source in oncology research. To enhance the detection of somatic copy number alterations (SCNAs) and circulating tumor DNA (ctDNA), we developed eSENSES, a 2 Mb breast cancer-targeted NGS panel. It includes 15,000 genome-wide SNPs, 500 focal SNPs in breast cancer driver regions, and exons from 81 commonly altered genes, alongside a custom computational approach. We assessed the performance of eSENSES using both synthetic and clinical samples showing that eSENSES can detect ctDNA levels below 1%, exhibiting high sensitivity and specificity at 2-3% ctDNA levels. In patients with metastatic breast cancer, ctDNA estimations correlated with disease progression. When compared with other technologies and state-of-the-art approaches, eSENSES demonstrated enhanced performance. eSENSES provides a reliable, powerful and cost-effective tool for monitoring disease progression and guiding therapeutic decisions in breast cancer patients.
期刊介绍:
npj Breast Cancer publishes original research articles, reviews, brief correspondence, meeting reports, editorial summaries and hypothesis generating observations which could be unexplained or preliminary findings from experiments, novel ideas, or the framing of new questions that need to be solved. Featured topics of the journal include imaging, immunotherapy, molecular classification of disease, mechanism-based therapies largely targeting signal transduction pathways, carcinogenesis including hereditary susceptibility and molecular epidemiology, survivorship issues including long-term toxicities of treatment and secondary neoplasm occurrence, the biophysics of cancer, mechanisms of metastasis and their perturbation, and studies of the tumor microenvironment.