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

Deeptha Ishwar, Rupa Haldavnekar, Krishnan Venkatakrishnan () and Bo Tan
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Deeptha Ishwar: Partnership between Ryerson University and St. Michael’s Hospital
Rupa Haldavnekar: Partnership between Ryerson University and St. Michael’s Hospital
Krishnan Venkatakrishnan: Partnership between Ryerson University and St. Michael’s Hospital
Bo Tan: Partnership between Ryerson University and St. Michael’s Hospital

Nature Communications, 2022, vol. 13, issue 1, 1-20

Abstract: 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.

Date: 2022
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DOI: 10.1038/s41467-022-32308-x

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