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Characterising the phenotypic evolution of circulating tumour cells during treatment

Author

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  • Simon Chang-Hao Tsao

    (University of Queensland
    Olivia Newton-John Cancer Research Institute
    Austin Health)

  • Jing Wang

    (University of Queensland)

  • Yuling Wang

    (University of Queensland
    Macquarie University)

  • Andreas Behren

    (Olivia Newton-John Cancer Research Institute
    La Trobe University)

  • Jonathan Cebon

    (Olivia Newton-John Cancer Research Institute
    Austin Health
    La Trobe University)

  • Matt Trau

    (University of Queensland
    University of Queensland)

Abstract

Real-time monitoring of cancer cells’ phenotypic evolution during therapy can provide vital tumour biology information for treatment management. Circulating tumour cell (CTC) analysis has emerged as a useful monitoring tool, but its routine usage is restricted by either limited multiplexing capability or sensitivity. Here, we demonstrate the use of antibody-conjugated and Raman reporter-coated gold nanoparticles for simultaneous labelling and monitoring of multiple CTC surface markers (named as “cell signature”), without the need for isolating individual CTCs. We observe cell heterogeneity and phenotypic changes of melanoma cell lines during molecular targeted treatment. Furthermore, we follow the CTC signature changes of 10 stage-IV melanoma patients receiving immunological or molecular targeted therapies. Our technique maps the phenotypic evolution of patient CTCs sensitively and rapidly, and shows drug-resistant clones having different CTC signatures of potential clinical value. We believe our proposed method is of general interest in the CTC relevant research and translation fields.

Suggested Citation

  • Simon Chang-Hao Tsao & Jing Wang & Yuling Wang & Andreas Behren & Jonathan Cebon & Matt Trau, 2018. "Characterising the phenotypic evolution of circulating tumour cells during treatment," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-03725-8
    DOI: 10.1038/s41467-018-03725-8
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    Cited by:

    1. Benjamin Wölfl & Hedy te Rietmole & Monica Salvioli & Artem Kaznatcheev & Frank Thuijsman & Joel S. Brown & Boudewijn Burgering & Kateřina Staňková, 2022. "The Contribution of Evolutionary Game Theory to Understanding and Treating Cancer," Dynamic Games and Applications, Springer, vol. 12(2), pages 313-342, June.

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