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 < 20 ng ml(-1), of whom 31 had benign disease (no c...

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Bibliographic Details
Published in:eLife
Main Authors: Hood, Simon P, Cosma, Georgina, Foulds, Gemma A, Johnson, Catherine, Reeder, Stephen, McArdle, Stéphanie E, Khan, Masood A, Pockley, A Graham
Format: Artigo
Language:Inglês
Published: eLife Sciences Publications, Ltd 2020
Subjects:
Cancer Biology
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7386909/
https://ncbi.nlm.nih.gov/pubmed/32717179
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7554/eLife.50936
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