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Identifying prostate cancer and its clinical risk in asymptomatic men using machine learning of high dimensional peripheral blood flow cytometric natural killer cell subset phenotyping data
We demonstrate that prostate cancer can be identified by flow cytometric profiling of blood immune cell subsets. Herein, we profiled natural killer (NK) cell subsets in the blood of 72 asymptomatic men with Prostate Specific Antigen (PSA) levels < 20ng ml, of whom 31 had benign disease (no cancer...
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| Main Authors: | , , , , , , , |
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| Format: | Default Article |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/12562178.v1 |
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