Immunohistochemical algorithms and gene expression profiling in primary cutaneous B-cell lymphoma

Pathol Res Pract. 2022 Mar;231:153804. doi: 10.1016/j.prp.2022.153804. Epub 2022 Feb 16.

Abstract

Objective: to assess whether immunohistochemical (IHC) algorithms used to classify the cell of origin (COO) of nodal Diffuse Large B-cell lymphoma (nDLBCL) in Germinal Center type (GCB) and non-GCB subtypes may be applied to Primary Cutaneous B-cell lymphoma (PCBCL) too, and which of these algorithms performs better on PCBCL.

Design: Retrospective case control study.

Setting: Pathology Department of the University Hospital "San Giovanni di Dio e Ruggi d'Aragona" Salerno, Italy.

Participants: Fourteen PCBCL, including Primary Cutaneous follicle centre lymphoma (PCFCL) and primary cutaneous diffuse large B-cell lymphoma, Leg type (PCDLBCL-LT) and 14 nDLBCL were evaluated for 7-year period (January 2011 to December 2017). Primary cutaneous marginal zone cell lymphoma (PCMZL) cases were not included in the present study.

Intervention: Evaluation of immunohistochemical CD10, BCL6, MUM1/IRF4, BCL2, MYC and Ki-67 expression and classification according to three different algorithms. Gene expression profiling (GEP) was performed on the same series using Lymph2Cx assay (Nanostring). The data obtained were compared and analysed.

Results: All the IHC algorithms showed 13 GCB and 15 non-GCB. GEP showed 12 GCB, 12 activated B cell-type and 4 unclassified.

Conclusions: The PCBCL were classifiable as GCB and non-GCB like the nDLBCL as IHC algorithms were concordant to GEP and produced the same results.

Keywords: Cell of Origin; Gene expression profiling; Nodal diffuse large B-cell lymphoma; Primary cutaneous B-cell lymphoma.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Algorithms*
  • Biomarkers, Tumor / analysis
  • Biomarkers, Tumor / blood
  • Case-Control Studies
  • Female
  • Gene Expression / genetics*
  • Gene Expression / physiology
  • Humans
  • Immunohistochemistry / methods
  • Immunohistochemistry / statistics & numerical data
  • Italy / epidemiology
  • Lymphoma, B-Cell / diagnosis
  • Lymphoma, B-Cell / epidemiology
  • Lymphoma, B-Cell / genetics*
  • Male
  • Middle Aged
  • Retrospective Studies

Substances

  • Biomarkers, Tumor