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A Simple and Rapid Protocol to Non-enzymatically Dissociate Fresh Human Tissues for the Analysis of Infiltrating Lymphocytes
Published on: December 6, 2014
Normative data for flow cytometry immunophenotyping of benign lymph nodes sampled by surgical biopsy
Gregory David Scott1, Susan K Atwater1, Dita A Gratzinger1
1Department of Pathology, Stanford Hospital and Clinics, Stanford, California, USA.
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.
