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Normative data for flow cytometry immunophenotyping of benign lymph nodes sampled by surgical biopsy.

Normative data for flow cytometry immunophenotyping of benign lymph nodes sampled by surgical biopsy.
Author Information (click to view)

Scott GD, Atwater SK, Gratzinger DA,


Scott GD, Atwater SK, Gratzinger DA, (click to view)

Scott GD, Atwater SK, Gratzinger DA,

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Journal of clinical pathology 2017 09 1571(2) 174-179 doi 10.1136/jclinpath-2017-204687

Abstract
AIMS
To create clinically relevant normative flow cytometry data for understudied benign lymph nodes and characterise outliers.

METHODS
Clinical, histological and flow cytometry data were collected and distributions summarised for 380 benign lymph node excisional biopsies. Outliers for kappa:lambda light chain ratio, CD10:CD19 coexpression, CD5:CD19 coexpression, CD4:CD8 ratios and CD7 loss were summarised for histological pattern, concomitant diseases and follow-up course.

RESULTS
We generated the largest data set of benign lymph node immunophenotypes by an order of magnitude. B and T cell antigen outliers often had background immunosuppression or inflammatory disease but did not subsequently develop lymphoma.

CONCLUSIONS
Diagnostic immunophenotyping data from benign lymph nodes provide normative ranges for clinical use. Outliers raising suspicion for B or T cell lymphoma are not infrequent (26% of benign lymph nodes). Caution is indicated when interpreting outliers in the absence of excisional biopsy or clinical history, particularly in patients with concomitant immunosuppression or inflammatory disease.

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