I. Garcia-Murillas , C.W. Abbott , R.J. Cutts , S.M. Boyle , J. Pugh , K.C. Keough , B. Li , R.M. Pyke , F.C.P. Navarro , R.O. Chen , K. Dunne , C. Bunce , S.R.D. Johnston , A. Ring , S. Russell , A. Evans , A. Skene , I.E. Smith , N.C. Turner
{"title":"全基因组测序支持ctDNA测序用于乳腺癌检测。","authors":"I. Garcia-Murillas , C.W. Abbott , R.J. Cutts , S.M. Boyle , J. Pugh , K.C. Keough , B. Li , R.M. Pyke , F.C.P. Navarro , R.O. Chen , K. Dunne , C. Bunce , S.R.D. Johnston , A. Ring , S. Russell , A. Evans , A. Skene , I.E. Smith , N.C. Turner","doi":"10.1016/j.annonc.2025.01.021","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Circulating tumour DNA (ctDNA)-based detection of molecular residual disease (MRD) presents a strategy to identify patients at high risk of relapse. In this article, we profile early breast cancer patients with an ultrasensitive, whole genome sequencing (WGS)-based, tumour-informed ctDNA platform.</div></div><div><h3>Materials and methods</h3><div>We analysed 617 plasma samples (median 8, range 2-14) from 78 patients (23 triple-negative breast cancer, 35 human epidermal growth factor receptor 2-positive, 18 hormone receptor-positive, and 2 unknown). Samples were collected at diagnosis before therapy, cycle 2 of neoadjuvant chemotherapy, post-surgery after neoad’juvant therapy if administered, every 3 months during the first year, and every 6 months thereafter. Plasma DNA was analysed using the NeXT Personal MRD platform, a tumour-informed WGS approach to produce personalized ctDNA sequencing panels tracking a median of 1451 variants per patient. MRD detection was correlated with clinical outcomes.</div></div><div><h3>Results</h3><div>ctDNA was detected at levels ranging from 2.19 parts per million (PPM) to 204 900 PPM (median 405 PPM), with 39% of all ctDNA detections in the ultra-low range <100 PPM. Of patients with samples at diagnosis, 98% (49/50) had ctDNA detected before treatment. At a median follow-up of 76 months (range 5-118 months), detection of ctDNA was associated with high risk of future relapse (<em>P</em> < 0.0001; log-rank test) and shortened overall survival (<em>P</em> < 0.0001) with a median lead time from ctDNA detection to clinical relapse of 15 months (range 0.9-61.5 months). MRD was identified in 100% (11/11) of patients who relapsed, with a median level of ctDNA at first MRD detection of 13.1 PPM. No ctDNA-undetected patients relapsed throughout follow-up (64/64). Comparison with exome-powered MRD detection assays showed improved sensitivity and lead time.</div></div><div><h3>Conclusions</h3><div>A whole genome-powered MRD assay detected breast cancer relapse with a long lead time over clinical relapse, and was strongly associated with relapse-free survival. Rates of ctDNA detection at diagnosis were higher than those reported with exome-based tumour-informed assays.</div></div>","PeriodicalId":8000,"journal":{"name":"Annals of Oncology","volume":"36 6","pages":"Pages 673-681"},"PeriodicalIF":56.7000,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Whole genome sequencing-powered ctDNA sequencing for breast cancer detection\",\"authors\":\"I. Garcia-Murillas , C.W. Abbott , R.J. Cutts , S.M. Boyle , J. Pugh , K.C. Keough , B. Li , R.M. Pyke , F.C.P. Navarro , R.O. Chen , K. Dunne , C. Bunce , S.R.D. Johnston , A. Ring , S. Russell , A. Evans , A. Skene , I.E. Smith , N.C. Turner\",\"doi\":\"10.1016/j.annonc.2025.01.021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Circulating tumour DNA (ctDNA)-based detection of molecular residual disease (MRD) presents a strategy to identify patients at high risk of relapse. In this article, we profile early breast cancer patients with an ultrasensitive, whole genome sequencing (WGS)-based, tumour-informed ctDNA platform.</div></div><div><h3>Materials and methods</h3><div>We analysed 617 plasma samples (median 8, range 2-14) from 78 patients (23 triple-negative breast cancer, 35 human epidermal growth factor receptor 2-positive, 18 hormone receptor-positive, and 2 unknown). Samples were collected at diagnosis before therapy, cycle 2 of neoadjuvant chemotherapy, post-surgery after neoad’juvant therapy if administered, every 3 months during the first year, and every 6 months thereafter. Plasma DNA was analysed using the NeXT Personal MRD platform, a tumour-informed WGS approach to produce personalized ctDNA sequencing panels tracking a median of 1451 variants per patient. MRD detection was correlated with clinical outcomes.</div></div><div><h3>Results</h3><div>ctDNA was detected at levels ranging from 2.19 parts per million (PPM) to 204 900 PPM (median 405 PPM), with 39% of all ctDNA detections in the ultra-low range <100 PPM. Of patients with samples at diagnosis, 98% (49/50) had ctDNA detected before treatment. At a median follow-up of 76 months (range 5-118 months), detection of ctDNA was associated with high risk of future relapse (<em>P</em> < 0.0001; log-rank test) and shortened overall survival (<em>P</em> < 0.0001) with a median lead time from ctDNA detection to clinical relapse of 15 months (range 0.9-61.5 months). MRD was identified in 100% (11/11) of patients who relapsed, with a median level of ctDNA at first MRD detection of 13.1 PPM. No ctDNA-undetected patients relapsed throughout follow-up (64/64). Comparison with exome-powered MRD detection assays showed improved sensitivity and lead time.</div></div><div><h3>Conclusions</h3><div>A whole genome-powered MRD assay detected breast cancer relapse with a long lead time over clinical relapse, and was strongly associated with relapse-free survival. Rates of ctDNA detection at diagnosis were higher than those reported with exome-based tumour-informed assays.</div></div>\",\"PeriodicalId\":8000,\"journal\":{\"name\":\"Annals of Oncology\",\"volume\":\"36 6\",\"pages\":\"Pages 673-681\"},\"PeriodicalIF\":56.7000,\"publicationDate\":\"2025-02-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0923753425000535\",\"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":"Annals of Oncology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0923753425000535","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
Whole genome sequencing-powered ctDNA sequencing for breast cancer detection
Background
Circulating tumour DNA (ctDNA)-based detection of molecular residual disease (MRD) presents a strategy to identify patients at high risk of relapse. In this article, we profile early breast cancer patients with an ultrasensitive, whole genome sequencing (WGS)-based, tumour-informed ctDNA platform.
Materials and methods
We analysed 617 plasma samples (median 8, range 2-14) from 78 patients (23 triple-negative breast cancer, 35 human epidermal growth factor receptor 2-positive, 18 hormone receptor-positive, and 2 unknown). Samples were collected at diagnosis before therapy, cycle 2 of neoadjuvant chemotherapy, post-surgery after neoad’juvant therapy if administered, every 3 months during the first year, and every 6 months thereafter. Plasma DNA was analysed using the NeXT Personal MRD platform, a tumour-informed WGS approach to produce personalized ctDNA sequencing panels tracking a median of 1451 variants per patient. MRD detection was correlated with clinical outcomes.
Results
ctDNA was detected at levels ranging from 2.19 parts per million (PPM) to 204 900 PPM (median 405 PPM), with 39% of all ctDNA detections in the ultra-low range <100 PPM. Of patients with samples at diagnosis, 98% (49/50) had ctDNA detected before treatment. At a median follow-up of 76 months (range 5-118 months), detection of ctDNA was associated with high risk of future relapse (P < 0.0001; log-rank test) and shortened overall survival (P < 0.0001) with a median lead time from ctDNA detection to clinical relapse of 15 months (range 0.9-61.5 months). MRD was identified in 100% (11/11) of patients who relapsed, with a median level of ctDNA at first MRD detection of 13.1 PPM. No ctDNA-undetected patients relapsed throughout follow-up (64/64). Comparison with exome-powered MRD detection assays showed improved sensitivity and lead time.
Conclusions
A whole genome-powered MRD assay detected breast cancer relapse with a long lead time over clinical relapse, and was strongly associated with relapse-free survival. Rates of ctDNA detection at diagnosis were higher than those reported with exome-based tumour-informed assays.
期刊介绍:
Annals of Oncology, the official journal of the European Society for Medical Oncology and the Japanese Society of Medical Oncology, offers rapid and efficient peer-reviewed publications on innovative cancer treatments and translational research in oncology and precision medicine.
The journal primarily focuses on areas such as systemic anticancer therapy, with a specific emphasis on molecular targeted agents and new immune therapies. We also welcome randomized trials, including negative results, as well as top-level guidelines. Additionally, we encourage submissions in emerging fields that are crucial to personalized medicine, such as molecular pathology, bioinformatics, modern statistics, and biotechnologies. Manuscripts related to radiotherapy, surgery, and pediatrics will be considered if they demonstrate a clear interaction with any of the aforementioned fields or if they present groundbreaking findings.
Our international editorial board comprises renowned experts who are leaders in their respective fields. Through Annals of Oncology, we strive to provide the most effective communication on the dynamic and ever-evolving global oncology landscape.