Immune monitoring using the predictive power of immune profiles.

ABSTRACT:

Background

We have developed a novel approach to categorize immunity in patients that uses a combination of whole blood flow cytometry and hierarchical clustering.

Methods

Our approach was based on determining the number (cells/μl) of the major leukocyte subsets in unfractionated, whole blood using quantitative flow cytometry. These measurements were performed in 40 healthy volunteers and 120 patients with glioblastoma, renal cell carcinoma, non-Hodgkin lymphoma, ovarian cancer or acute lung injury. After normalization, we used unsupervised hierarchical clustering to sort individuals by similarity into discreet groups we call immune profiles.

Results

Five immune profiles were identified. Four of the diseases tested had patients distributed across at least four of the

SUBMITTER: Gustafson MP 

PROVIDER: S-EPMC4266565 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature