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Minimally invasive detection of cancer using metabolic changes in tumor-associated natural killer cells with Oncoimmune probes

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  • Deeptha Ishwar

    (Partnership between Ryerson University and St. Michael’s Hospital
    Ryerson University
    Ryerson University
    Ryerson University)

  • Rupa Haldavnekar

    (Partnership between Ryerson University and St. Michael’s Hospital
    Ryerson University
    Ryerson University
    Ryerson University)

  • Krishnan Venkatakrishnan

    (Partnership between Ryerson University and St. Michael’s Hospital
    Ryerson University
    Ryerson University
    Keenan Research Center for Biomedical Science, Unity Health Toronto)

  • Bo Tan

    (Partnership between Ryerson University and St. Michael’s Hospital
    Ryerson University
    Keenan Research Center for Biomedical Science, Unity Health Toronto)

Abstract

Natural Killer (NK) cells, a subset of innate immune cells, undergo cancer-specific changes during tumor progression. Therefore, tracking NK cell activity in circulation has potential for cancer diagnosis. Identification of tumor associated NK cells remains a challenge as most of the cancer antigens are unknown. Here, we introduce tumor-associated circulating NK cell profiling (CNKP) as a stand-alone cancer diagnostic modality with a liquid biopsy. Metabolic profiles of NK cell activation as a result of tumor interaction are detected with a SERS functionalized OncoImmune probe platform. We show that the cancer stem cell-associated NK cell is of value in cancer diagnosis. Through machine learning, the features of NK cell activity in patient blood could identify cancer from non-cancer using 5uL of peripheral blood with 100% accuracy and localization of cancer with 93% accuracy. These results show the feasibility of minimally invasive cancer diagnostics using circulating NK cells.

Suggested Citation

  • Deeptha Ishwar & Rupa Haldavnekar & Krishnan Venkatakrishnan & Bo Tan, 2022. "Minimally invasive detection of cancer using metabolic changes in tumor-associated natural killer cells with Oncoimmune probes," Nature Communications, Nature, vol. 13(1), pages 1-20, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-32308-x
    DOI: 10.1038/s41467-022-32308-x
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    References listed on IDEAS

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    1. Tannishtha Reya & Sean J. Morrison & Michael F. Clarke & Irving L. Weissman, 2001. "Stem cells, cancer, and cancer stem cells," Nature, Nature, vol. 414(6859), pages 105-111, November.
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    3. Rupa Haldavnekar & Krishnan Venkatakrishnan & Bo Tan, 2018. "Non plasmonic semiconductor quantum SERS probe as a pathway for in vitro cancer detection," Nature Communications, Nature, vol. 9(1), pages 1-18, December.
    4. Keith T. Butler & Daniel W. Davies & Hugh Cartwright & Olexandr Isayev & Aron Walsh, 2018. "Machine learning for molecular and materials science," Nature, Nature, vol. 559(7715), pages 547-555, July.
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