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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Vydáno v:eLife
Hlavní autoři: Hood, Simon P, Cosma, Georgina, Foulds, Gemma A, Johnson, Catherine, Reeder, Stephen, McArdle, Stéphanie E, Khan, Masood A, Pockley, A Graham
Médium: Artigo
Jazyk:Inglês
Vydáno: eLife Sciences Publications, Ltd 2020
Témata:
Cancer Biology
On-line přístup: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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