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DOI 10.1038/s41523-025-00853-5

Медицинская библиотека · NPJ breast cancer · 2025

DTC-Flow: a flow cytometry-based detection platform for characterizing bone marrow disseminated tumor cells in breast cancer.

Chislock Elizabeth M, Pan Tien-Chi, Pant Dhruv, Chen Yan, Woodfield George, Graves Jewell, Lawrence-Paul Matthew R, Belka George K, Wang Jianping, Bayne Lauren, Blanchard Tatiana, Smith Meaghan, Ji Xiaodan, Shih Natalie N C, Soucier-Ernst Danielle, Goodman Noah, Nivar Isoris, Goodspeed Brooke, DeLuca Shannon, Ndicu John, Clark Candace, Langer Melissa, William Stavropoulos S, DeMuth William, Morschauser Andrew, Murphy William, Nayak Anupma, Feldman Michael, Clark Amy, Yu Liping, Judge Kevin, Bornheimer Scott, Pletcher Charles H, Moore Jonni S, DeMichele Angela, Chodosh Lewis A

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Аннотация

The presence of bone marrow (BM) disseminated tumor cells (DTCbm) identifies early-stage breast cancer patients at increased risk of recurrence and poorer overall survival. However, limitations in detecting DTCbm by standard immunohistochemical approaches have hampered clinical application. To address this gap, we developed a flow cytometry-based method, DTC-Flow, that enables the sensitive and efficient detection and molecular characterization of breast cancer DTCbm. Our analysis identified HER2 as a sensitive marker for detecting breast cancer cells, including those lacking HER2 amplification are claudin-low. DTC-Flow using a HER2/EpCAM/CD45 marker panel enabled >90% cancer cell recovery and sensitivity of one cancer cell per million nucleated BM cells across a range of breast cancer subtypes. Molecular analyses of DTC-Flow-sorted DTCbm from metastatic patients suggested a quiescent state and demonstrated their close genomic relationship to primary/metastatic tumors, as well as continued genetic evolution. In early-stage breast cancer patients, DTC-Flow detected DTCbm with greater sensitivity than cytokeratin-based immunohistochemical approaches. Our data support the development of DTC-Flow as a sensitive and specific platform to identify breast cancer patients harboring DTCbm and better understand the biology of minimal residual disease. Ultimately, this platform could enable the selection of personalized therapeutic approaches based on molecular features of DTCbm, monitoring of DTCbm to assess the efficacy of such therapies, and the development of novel therapeutic approaches targeting unique biological vulnerabilities of DTCs in order to eradicate these cells before they can give rise to lethal recurrent cancers.

Для цитирования: Chislock Elizabeth M, Pan Tien-Chi, Pant Dhruv, Chen Yan, Woodfield George, Graves Jewell, Lawrence-Paul Matthew R, Belka George K, Wang Jianping, Bayne Lauren, Blanchard Tatiana, Smith Meaghan, Ji Xiaodan, Shih Natalie N C, Soucier-Ernst Danielle, Goodman Noah, Nivar Isoris, Goodspeed Brooke, DeLuca Shannon, Ndicu John, Clark Candace, Langer Melissa, William Stavropoulos S, DeMuth William, Morschauser Andrew, Murphy William, Nayak Anupma, Feldman Michael, Clark Amy, Yu Liping, Judge Kevin, Bornheimer Scott, Pletcher Charles H, Moore Jonni S, DeMichele Angela, Chodosh Lewis A. DTC-Flow: a flow cytometry-based detection platform for characterizing bone marrow disseminated tumor cells in breast cancer.. NPJ breast cancer. 2025. DOI: 10.1038/s41523-025-00853-5.
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