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In vivo capture and label-free detection of early metastatic cells

Author

Listed:
  • Samira M. Azarin

    (University of Minnesota)

  • Ji Yi

    (Northwestern University)

  • Robert M. Gower

    (University of South Carolina)

  • Brian A. Aguado

    (Northwestern University)

  • Megan E. Sullivan

    (Northwestern University Feinberg School of Medicine)

  • Ashley G. Goodman

    (Northwestern University)

  • Eric J. Jiang

    (Northwestern University)

  • Shreyas S. Rao

    (Northwestern University)

  • Yinying Ren

    (Northwestern University)

  • Susan L. Tucker

    (The University of Texas MD Anderson Cancer Center)

  • Vadim Backman

    (Northwestern University
    Chemistry of Life Processes Institute (CLP), Northwestern University
    The Robert H. Lurie Comprehensive Cancer Center of Northwestern University)

  • Jacqueline S. Jeruss

    (University of Michigan
    Northwestern University)

  • Lonnie D Shea

    (Northwestern University
    Institute for BioNanotechnology in Medicine (IBNAM), Northwestern University
    University of Michigan
    University of Michigan)

Abstract

Breast cancer is a leading cause of death for women, with mortality resulting from metastasis. Metastases are often detected once tumour cells affect the function of solid organs, with a high disease burden limiting effective treatment. Here we report a method for the early detection of metastasis using an implanted scaffold to recruit and capture metastatic cells in vivo, which achieves high cell densities and reduces the tumour burden within solid organs 10-fold. Recruitment is associated with infiltration of immune cells, which include Gr1hiCD11b+ cells. We identify metastatic cells in the scaffold through a label-free detection system using inverse spectroscopic optical coherence tomography, which identifies changes to nanoscale tissue architecture associated with the presence of tumour cells. For patients at risk of recurrence, scaffold implantation following completion of primary therapy has the potential to identify metastatic disease at the earliest stage, enabling initiation of therapy while the disease burden is low.

Suggested Citation

  • Samira M. Azarin & Ji Yi & Robert M. Gower & Brian A. Aguado & Megan E. Sullivan & Ashley G. Goodman & Eric J. Jiang & Shreyas S. Rao & Yinying Ren & Susan L. Tucker & Vadim Backman & Jacqueline S. Je, 2015. "In vivo capture and label-free detection of early metastatic cells," Nature Communications, Nature, vol. 6(1), pages 1-9, November.
  • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms9094
    DOI: 10.1038/ncomms9094
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    Cited by:

    1. Jing Wang & Ramon Ocadiz-Ruiz & Matthew S. Hall & Grace G. Bushnell & Sophia M. Orbach & Joseph T. Decker & Ravi M. Raghani & Yining Zhang & Aaron H. Morris & Jacqueline S. Jeruss & Lonnie D. Shea, 2023. "A synthetic metastatic niche reveals antitumor neutrophils drive breast cancer metastatic dormancy in the lungs," Nature Communications, Nature, vol. 14(1), pages 1-20, December.

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