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 com...

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Veröffentlicht in:NPJ breast cancer 2024-05, Vol.10 (1), p.36-36, Article 36
Hauptverfasser: Alba-Bernal, Alfonso, Godoy-Ortiz, Ana, Domínguez-Recio, María Emilia, López-López, Esperanza, Quirós-Ortega, María Elena, Sánchez-Martín, Victoria, Roldán-Díaz, María Dunia, Jiménez-Rodríguez, Begoña, Peralta-Linero, Jesús, Bellagarza-García, Estefanía, Troyano-Ramos, Laura, Garrido-Ruiz, Guadalupe, Hierro-Martín, M. Isabel, Vicioso, Luis, González-Ortiz, Álvaro, Linares-Valencia, Noelia, Velasco-Suelto, Jesús, Carbajosa, Guillermo, Garrido-Aranda, Alicia, Lavado-Valenzuela, Rocío, Álvarez, Martina, Pascual, Javier, Comino-Méndez, Iñaki, Alba, Emilio
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Sprache:eng
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Zusammenfassung: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.
ISSN:2374-4677
2374-4677
DOI:10.1038/s41523-024-00642-6