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...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:eLife
Main Authors: Hood, Simon P, Cosma, Georgina, Foulds, Gemma A, Johnson, Catherine, Reeder, Stephen, McArdle, Stéphanie E, Khan, Masood A, Pockley, A Graham
Formato: Artigo
Idioma:Inglês
Publicado em: eLife Sciences Publications, Ltd 2020
Assuntos:
Cancer Biology
Acesso em linha: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
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados