Flow cytometry CD4(+)CD26(-)CD38(+) lymphocyte subset in the microenvironment of Hodgkin lymphoma-affected lymph

Rosa Di Gaetano1, Valentina Gasparetto, Andrea Padoan

  • 1Laboratory Department, Transfusion Service, Haemophilia Centre and Haematology, Castelfranco Veneto Hospital, Via Ospedale 18, 31033, Castelfranco Veneto, TV, Italy.

Annals of Hematology
|March 15, 2014
PubMed

Insights

Flow cytometry can identify a specific CD4(+)CD26(-)CD38(+) cell subset in Hodgkin lymphoma (HL) microenvironments. This method helps distinguish HL from benign conditions, aiding diagnosis.

Area of Science:

  • Immunology
  • Hematopathology
  • Flow Cytometry

Background:

  • Hodgkin lymphoma (HL) diagnosis relies on Hodgkin and Reed-Sternberg (HRS) cells within an inflammatory microenvironment.
  • Regulatory T cells (Tregs) are increasingly recognized for their immunosuppressive role in HL tumor persistence.

Purpose of the Study:

  • To identify Hodgkin lymphoma-specific lymphocyte subsets and potential biomarkers related to Treg cells.
  • To evaluate flow cytometric immunophenotyping for characterizing the HL microenvironment.

Main Methods:

  • Flow cytometric immunophenotyping of lymph node samples from 108 HL cases and 43 benign reactive lymphoid hyperplasia (BRLH) cases.
  • Analysis of CD3, CD19, and CD4(+)CD26(-)CD38(+) cell subsets within the lymphocytic infiltrate.
  • Logistic analysis and receiver operating characteristic (ROC) curves using CD38 and CD26 markers.

Main Results:

  • HL samples showed significantly decreased CD19(+) cells (23% vs 39%) and increased CD3(+) (74% vs 58%) and CD4(+)CD26(-)CD38(+) cells (38% vs 11.5%) compared to BRLH.
  • The CD4(+)CD26(-)CD38(+) subset was strongly expressed in HL (ROC AUC = 0.8639).
  • Flow cytometry effectively distinguished the HL microenvironmental pattern from BRLH.

Conclusions:

  • The CD4(+)CD26(-)CD38(+) cell subset is a potential biomarker for Hodgkin lymphoma.
  • Flow cytometry can accurately identify the cellular microenvironmental pattern in HL.
  • This technique offers a potentially rapid and accessible method for characterizing the inflammatory background in HL, complementing traditional histology.