RT Journal Article SR Electronic T1 Normative data for flow cytometry immunophenotyping of benign lymph nodes sampled by surgical biopsy JF Journal of Clinical Pathology JO J Clin Pathol FD BMJ Publishing Group Ltd and Association of Clinical Pathologists SP 174 OP 179 DO 10.1136/jclinpath-2017-204687 VO 71 IS 2 A1 Gregory David Scott A1 Susan K Atwater A1 Dita A Gratzinger YR 2018 UL http://jcp.bmj.com/content/71/2/174.abstract AB 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.