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Aberrant expression in lymphoma, a diagnostic pitfall.

Joo Y Song1, Zenggang Pan2

  • 1Department of Pathology, City of Hope National Medical Center, Duarte, CA, 91010, USA.

Human Pathology
|December 14, 2024
PubMed
Summary
This summary is machine-generated.

Accurately classifying lymphomas relies on cell lineage markers, but aberrant expression poses diagnostic challenges. This review covers aberrant antigen expression in lymphoid neoplasms to improve lymphoma diagnosis.

Keywords:
Aberrant expressionB-cell lymphomaHodgkin lymphomaT-cell lymphoma

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Area of Science:

  • Hematopathology
  • Immunophenotyping
  • Neoplastic Hematology

Background:

  • Accurate cell lineage assignment is crucial for lymphoma classification in hematopathology.
  • Immunohistochemistry and flow cytometry are standard methods for detecting lineage-specific markers.
  • Aberrant gain or loss of these markers, and expression of non-hematopoietic markers, present significant diagnostic challenges.

Purpose of the Study:

  • To review the aberrant expression of lineage-associated antigens in mature lymphoid neoplasms.
  • To provide recommendations for avoiding diagnostic pitfalls in lymphoma classification.
  • To enhance the accuracy of diagnoses in challenging hematopathology cases.

Main Methods:

  • Literature review of aberrant antigen expression in mature lymphoid neoplasms.
  • Analysis of diagnostic challenges posed by aberrant marker expression.
  • Synthesis of recommendations for accurate lymphoma diagnosis.

Main Results:

  • Aberrant gain of lineage-associated antigens is a recognized phenomenon in lymphoma diagnosis.
  • Non-hematopoietic marker expression can occur aberrantly in lymphoid neoplasms.
  • Diagnostic pitfalls arise from unexpected marker profiles.

Conclusions:

  • Understanding aberrant antigen expression is key to overcoming diagnostic challenges in hematopathology.
  • Implementing recommended strategies can improve the accuracy of lymphoma classification.
  • Accurate diagnosis of mature lymphoid neoplasms relies on careful interpretation of immunophenotypic data.