Alfonso Alba-Bernal, Ana Godoy-Ortiz, María Emilia Domínguez-Recio, Esperanza López-López, María Elena Quirós-Ortega, Victoria Sánchez-Martín, María Dunia Roldán-Díaz, Begoña Jiménez-Rodríguez, Jesús Peralta-Linero, Estefanía Bellagarza-García, Laura Troyano-Ramos, Guadalupe Garrido-Ruiz, M Isabel Hierro-Martín, Luis Vicioso, Álvaro González-Ortiz, Noelia Linares-Valencia, Jesús Velasco-Suelto, Guillermo Carbajosa, Alicia Garrido-Aranda, Rocío Lavado-Valenzuela, Martina Álvarez, Javier Pascual, Iñaki Comino-Méndez, Emilio Alba
{"title":"增加抽血量,对早期乳腺癌患者进行超灵敏 ctDNA 和 CTCs 检测。","authors":"Alfonso Alba-Bernal, Ana Godoy-Ortiz, María Emilia Domínguez-Recio, Esperanza López-López, María Elena Quirós-Ortega, Victoria Sánchez-Martín, María Dunia Roldán-Díaz, Begoña Jiménez-Rodríguez, Jesús Peralta-Linero, Estefanía Bellagarza-García, Laura Troyano-Ramos, Guadalupe Garrido-Ruiz, M Isabel Hierro-Martín, Luis Vicioso, Álvaro González-Ortiz, Noelia Linares-Valencia, Jesús Velasco-Suelto, Guillermo Carbajosa, Alicia Garrido-Aranda, Rocío Lavado-Valenzuela, Martina Álvarez, Javier Pascual, Iñaki Comino-Méndez, Emilio Alba","doi":"10.1038/s41523-024-00642-6","DOIUrl":null,"url":null,"abstract":"<p><p>Early breast cancer patients often experience relapse due to residual disease after treatment. Liquid biopsy is a methodology capable of detecting tumor components in blood, but low concentrations at early stages pose challenges. To detect them, next-generation sequencing has promise but entails complex processes. Exploring larger blood volumes could overcome detection limitations. Herein, a total of 282 high-volume plasma and blood-cell samples were collected for dual ctDNA/CTCs detection using a single droplet-digital PCR assay per patient. ctDNA and/or CTCs were detected in 100% of pre-treatment samples. On the other hand, post-treatment positive samples exhibited a minimum variant allele frequency of 0.003% for ctDNA and minimum cell number of 0.069 CTCs/mL of blood, surpassing previous investigations. Accurate prediction of residual disease before surgery was achieved in patients without a complete pathological response. A model utilizing ctDNA dynamics achieved an area under the ROC curve of 0.92 for predicting response. We detected disease recurrence in blood in the three patients who experienced a relapse, anticipating clinical relapse by 34.61, 9.10, and 7.59 months. This methodology provides an easily implemented alternative for ultrasensitive residual disease detection in early breast cancer patients.</p>","PeriodicalId":19247,"journal":{"name":"NPJ Breast Cancer","volume":"10 1","pages":"36"},"PeriodicalIF":6.5000,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11096188/pdf/","citationCount":"0","resultStr":"{\"title\":\"Increased blood draws for ultrasensitive ctDNA and CTCs detection in early breast cancer patients.\",\"authors\":\"Alfonso Alba-Bernal, Ana Godoy-Ortiz, María Emilia Domínguez-Recio, Esperanza López-López, María Elena Quirós-Ortega, Victoria Sánchez-Martín, María Dunia Roldán-Díaz, Begoña Jiménez-Rodríguez, Jesús Peralta-Linero, Estefanía Bellagarza-García, Laura Troyano-Ramos, Guadalupe Garrido-Ruiz, M Isabel Hierro-Martín, Luis Vicioso, Álvaro González-Ortiz, Noelia Linares-Valencia, Jesús Velasco-Suelto, Guillermo Carbajosa, Alicia Garrido-Aranda, Rocío Lavado-Valenzuela, Martina Álvarez, Javier Pascual, Iñaki Comino-Méndez, Emilio Alba\",\"doi\":\"10.1038/s41523-024-00642-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Early breast cancer patients often experience relapse due to residual disease after treatment. Liquid biopsy is a methodology capable of detecting tumor components in blood, but low concentrations at early stages pose challenges. To detect them, next-generation sequencing has promise but entails complex processes. Exploring larger blood volumes could overcome detection limitations. Herein, a total of 282 high-volume plasma and blood-cell samples were collected for dual ctDNA/CTCs detection using a single droplet-digital PCR assay per patient. ctDNA and/or CTCs were detected in 100% of pre-treatment samples. On the other hand, post-treatment positive samples exhibited a minimum variant allele frequency of 0.003% for ctDNA and minimum cell number of 0.069 CTCs/mL of blood, surpassing previous investigations. Accurate prediction of residual disease before surgery was achieved in patients without a complete pathological response. A model utilizing ctDNA dynamics achieved an area under the ROC curve of 0.92 for predicting response. We detected disease recurrence in blood in the three patients who experienced a relapse, anticipating clinical relapse by 34.61, 9.10, and 7.59 months. This methodology provides an easily implemented alternative for ultrasensitive residual disease detection in early breast cancer patients.</p>\",\"PeriodicalId\":19247,\"journal\":{\"name\":\"NPJ Breast Cancer\",\"volume\":\"10 1\",\"pages\":\"36\"},\"PeriodicalIF\":6.5000,\"publicationDate\":\"2024-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11096188/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NPJ Breast Cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s41523-024-00642-6\",\"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/s41523-024-00642-6","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
Increased blood draws for ultrasensitive ctDNA and CTCs detection in early breast cancer patients.
Early breast cancer patients often experience relapse due to residual disease after treatment. Liquid biopsy is a methodology capable of detecting tumor components in blood, but low concentrations at early stages pose challenges. To detect them, next-generation sequencing has promise but entails complex processes. Exploring larger blood volumes could overcome detection limitations. Herein, a total of 282 high-volume plasma and blood-cell samples were collected for dual ctDNA/CTCs detection using a single droplet-digital PCR assay per patient. ctDNA and/or CTCs were detected in 100% of pre-treatment samples. On the other hand, post-treatment positive samples exhibited a minimum variant allele frequency of 0.003% for ctDNA and minimum cell number of 0.069 CTCs/mL of blood, surpassing previous investigations. Accurate prediction of residual disease before surgery was achieved in patients without a complete pathological response. A model utilizing ctDNA dynamics achieved an area under the ROC curve of 0.92 for predicting response. We detected disease recurrence in blood in the three patients who experienced a relapse, anticipating clinical relapse by 34.61, 9.10, and 7.59 months. This methodology provides an easily implemented alternative for ultrasensitive residual disease detection in early 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.