npj Breast Cancer (May 2024)

Increased blood draws for ultrasensitive ctDNA and CTCs detection in early breast cancer patients

  • 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
https://doi.org/10.1038/s41523-024-00642-6
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 14

Abstract

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Abstract 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.