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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Bibliographic Details
Main Authors: Simon Hood, Georgina Cosma, Gemma Foulds A., Catherine Johnson, Stephen Reeder, Stéphanie McArdle E., Masood Khan, Graham Pockley A.
Format: Default Article
Published: 2020
Subjects:
Biochemistry and Cell Biology
Online Access:https://hdl.handle.net/2134/12562178.v1
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