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Comparative study of droplet-digital PCR and absolute Q digital PCR for ctDNA detection in early-stage breast cancer patients by Victoria Sánchez-Martín; Esperanza López-López; Diego Reguero-Paredes; Ana Godoy-Ortiz; Maria Emilia Domínguez-Recio; Begoña Jiménez-Rodríguez; Alfonso Alba-Bernal; Maria Elena Quirós-Ortega; María Dunia Roldán-Díaz; Jesús Velasco-Suelto; Noelia Linares-Valencia; Alicia Garrido-Aranda; Rocío Lavado-Valenzuela; Martina Álvarez; Javier Pascual; Emilio Alba; Iñaki Comino-Méndez is a Medicine article available to read on EtoBox.
What is Comparative study of droplet-digital PCR and absolute Q digital PCR for ctDNA detection in early-stage breast cancer patients about?
Background: Analysis of circulating tumor DNA (ctDNA) is increasingly used for clinical decision-making in oncology. However, ctDNA could represent ≤ 0.1 % of cell-free DNA in early-stage tumors and its detection requires high-sensitive techniques such as digital PCR (dPCR). Methods: In 46 samples from patients with early-stage breast cancer, we compared two leading dPCR assays for ctDNA analysis: QX200 droplet digital PCR (ddPCR) system from Bio-Rad which is the gold-standard in the field, and Absolute Q plate-based digital PCR (pdPCR) system from Thermo Fisher Scientific which has not been reported before. We analyzed 5 mL of baseline plasma samples prior to any treatment. Results: Both systems displayed a comparable sensitivity with no significant differences observed in mutant allele frequency. In fact, ddPCR and pdPCR possessed a concordance > 90 % in ctDNA positivity. Nevertheless, ddPCR exhibited higher variability and a longer workflow. Finally, we explored the association between ctDNA levels and clinicopathological features. Significantly higher ctDNA levels were present in patients with a Ki67 score > 20 % or with estrogen receptor-negative or triple-negative breast canc
Who reads Comparative study of droplet-digital PCR and absolute Q digital PCR for ctDNA detection in early-stage breast cancer patients?
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- Author
- Victoria Sánchez-Martín; Esperanza López-López; Diego Reguero-Paredes; Ana Godoy-Ortiz; Maria Emilia Domínguez-Recio; Begoña Jiménez-Rodríguez; Alfonso Alba-Bernal; Maria Elena Quirós-Ortega; María Dunia Roldán-Díaz; Jesús Velasco-Suelto; Noelia Linares-Valencia; Alicia Garrido-Aranda; Rocío Lavado-Valenzuela; Martina Álvarez; Javier Pascual; Emilio Alba; Iñaki Comino-Méndez
- Publisher
- Elsevier BV
- Published
- 2024
- Language
- EN
- Field
- Medicine (Health Sciences)