{"title":"Integrating Circulating Tumor DNA Dynamics and Sequential Organoid Drug Screening Enhances Breast Cancer Treatment Efficacy.","authors":"Jialin Liu,Fang Fang,Weiguang Yuan,Tao Chen,Ji Wang,Xiaping Miao,Yuhuan Meng,Chen Song,Wanchun Tan,Jing An,Abiyasi Nanding,Dalin Li,Youxue Zhang,Yongdong Jiang,Yanbo Chen,Shouping Xu,Guoqiang Zhang,Yanni Song,Hui Li,Yajie Gong,Yuanyuan Yu,Siwei Li,Xingda Zhang,Shilu Zhao,Wenhui Hao,Da Pang,Jun Tian,Shihui Yu,Xianyu Zhang","doi":"10.1158/0008-5472.can-25-0608","DOIUrl":null,"url":null,"abstract":"Dynamic changes in circulating tumor DNA (ctDNA) variant allele frequency (VAF) reflect real-time therapeutic efficacy. Timely treatment modification guided by ctDNA VAF may enable precision selection of optimized regimens to counteract evolving resistance in breast cancer. Here, we developed a therapeutic approach integrating ctDNA dynamics with sequential organoid drug screening to optimize breast cancer treatment. Targeted deep sequencing on plasma samples from 71 breast cancer patients revealed that ctDNA clearance correlates with improved disease-free survival. Additionally, analysis of 40 breast cancer organoid models demonstrated the potential of organoid culture supernatants for comprehensive mutation profiling and drug sensitivity testing. Together, these findings suggest that combining ctDNA monitoring with organoid-based drug screening can guide adjustments to treatment strategies, offering a promising solution to optimize patient outcomes.","PeriodicalId":9441,"journal":{"name":"Cancer research","volume":"2 1","pages":""},"PeriodicalIF":16.6000,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1158/0008-5472.can-25-0608","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Dynamic changes in circulating tumor DNA (ctDNA) variant allele frequency (VAF) reflect real-time therapeutic efficacy. Timely treatment modification guided by ctDNA VAF may enable precision selection of optimized regimens to counteract evolving resistance in breast cancer. Here, we developed a therapeutic approach integrating ctDNA dynamics with sequential organoid drug screening to optimize breast cancer treatment. Targeted deep sequencing on plasma samples from 71 breast cancer patients revealed that ctDNA clearance correlates with improved disease-free survival. Additionally, analysis of 40 breast cancer organoid models demonstrated the potential of organoid culture supernatants for comprehensive mutation profiling and drug sensitivity testing. Together, these findings suggest that combining ctDNA monitoring with organoid-based drug screening can guide adjustments to treatment strategies, offering a promising solution to optimize patient outcomes.
期刊介绍:
Cancer Research, published by the American Association for Cancer Research (AACR), is a journal that focuses on impactful original studies, reviews, and opinion pieces relevant to the broad cancer research community. Manuscripts that present conceptual or technological advances leading to insights into cancer biology are particularly sought after. The journal also places emphasis on convergence science, which involves bridging multiple distinct areas of cancer research.
With primary subsections including Cancer Biology, Cancer Immunology, Cancer Metabolism and Molecular Mechanisms, Translational Cancer Biology, Cancer Landscapes, and Convergence Science, Cancer Research has a comprehensive scope. It is published twice a month and has one volume per year, with a print ISSN of 0008-5472 and an online ISSN of 1538-7445.
Cancer Research is abstracted and/or indexed in various databases and platforms, including BIOSIS Previews (R) Database, MEDLINE, Current Contents/Life Sciences, Current Contents/Clinical Medicine, Science Citation Index, Scopus, and Web of Science.