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Immunohistochemical subtypes of diffuse large B-cell lymphoma in the head and neck region

J M Li1, J Hou2, L Li2

  • 1Department of Pathology, Sichuan Cancer Hospital, Chengdu, China lijiman_ljm@126.com.

Genetics and Molecular Research : GMR
|May 13, 2015
PubMed

Insights

This study found that head and neck diffuse large B-cell lymphoma (DLBCL) is predominantly the activated B-cell (ABC) subtype, not the germinal center B-cell (GCB) subtype. The Hans, Choi, and Tally algorithms showed no significant differences in classifying DLBCL subtypes.

Area of Science:

  • Oncology
  • Immunohistochemistry
  • Molecular Pathology

Background:

  • Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous lymphoid malignancy.
  • Accurate subtyping of DLBCL is crucial for predicting patient outcomes and guiding treatment strategies.
  • Head and neck DLBCL presents unique characteristics that warrant specific investigation.

Purpose of the Study:

  • To determine the immunohistochemical subtypes of head and neck DLBCL using established algorithms.
  • To compare the performance of the Hans, Choi, and Tally algorithms in classifying DLBCL subtypes.
  • To investigate the correlation between protein expression (CD10, Bcl-6, MUM1, GCET1, FOXP1, LMO2) and DLBCL subtypes.

Main Methods:

  • Immunohistochemistry was performed on 103 head and neck DLBCL patient samples.
  • Proteins analyzed included CD10, B-cell lymphoma 6 protein (Bcl-6), mutated melanoma-associated antigen 1 (MUM1), germinal center B-cell-expressed transcript 1 (GCET1), forkhead box protein P1 (FOXP1), and LIM domain only 2 (LMO2).
  • DLBCL subtypes were classified using the Hans, Choi, and Tally algorithms.

Main Results:

  • The majority of head and neck DLBCL cases were classified as the activated B-cell (ABC) subtype (74.8% by Hans, 75.7% by Choi, 80.6% by Tally), rather than the germinal center B-cell (GCB) subtype.
  • Expression of CD10, MUM1, GCET1, FOXP1, and LMO2 showed significant correlation with the determined subtypes across algorithms (P < 0.05).
  • Bcl-6 expression did not correlate with the Hans and Choi algorithms.

Conclusions:

  • Head and neck DLBCL predominantly exhibits the ABC subtype.
  • The Hans, Choi, and Tally algorithms demonstrated comparable performance in classifying head and neck DLBCL subtypes.
  • Protein expression analysis provides valuable insights into the molecular characteristics of different DLBCL subtypes.

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