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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Detalles Bibliográficos
Autores principales: Hood, Simon P, Cosma, Georgina, Foulds, Gemma A, Johnson, Catherine, Reeder, Stephen, McArdle, Stéphanie E, Khan, Masood A, Pockley, A Graham
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Cancer Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386909/
https://www.ncbi.nlm.nih.gov/pubmed/32717179
http://dx.doi.org/10.7554/eLife.50936

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386909/
https://www.ncbi.nlm.nih.gov/pubmed/32717179
http://dx.doi.org/10.7554/eLife.50936

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