DOI: 10.1002/jcla.25027 ISSN: 0887-8013

Assessment of Bone Marrow Involvement in B‐Cell non‐Hodgkin Lymphoma Using Immunoglobulin Gene Rearrangement Analysis with Next‐Generation Sequencing

Min Ji Jeon, Eun Sang Yu, Dae Sik Kim, Chul Won Choi, Ha Nui Kim, Jung Ah Kwon, Soo‐Young Yoon, Jung Yoon
  • Microbiology (medical)
  • Biochemistry (medical)
  • Medical Laboratory Technology
  • Clinical Biochemistry
  • Public Health, Environmental and Occupational Health
  • Hematology
  • Immunology and Allergy

ABSTRACT

Background

Assessment of bone marrow involvement (BMI) in non‐Hodgkin lymphoma (NHL) is crucial for determining patient prognosis and treatment strategy. We assessed the prognostic value of next‐generation sequencing (NGS)–based immunoglobulin (Ig) gene clonality analysis as an ancillary test for BMI evaluation in NHL.

Methods

A retrospective cohort of 124 patients newly diagnosed with B‐cell NHL between 2019 and 2022 was included. NGS‐based Ig clonality analysis was conducted using LymphoTrak IGH FR1 Assay and IGK Assay (Invivoscribe Technologies, San Diego, CA, USA) on BM aspirate samples, and the results were compared with those of histopathological BMI (hBMI).

Results

Among the 124 patients, hBMI was detected in 16.9% (n = 21). The overall agreement of BMI between Ig clonality analyses and histopathological analysis for IGH, IGK, and either IGH or IGK was 86.3%, 92.7%, and 90.3%. The highest positive percent agreement was observed with clonal rearrangements of either IGH or IGK gene (90.5%), while the highest negative percent agreement was observed with clonal rearrangement of IGK gene (96.1%). For the prediction of hBMI, positive prediction value ranged between 59.1% and 80.0% and the negative prediction value ranged between 91.3% and 97.9%.

Conclusion

NGS‐based clonality analysis is an analytic platform with a substantial overall agreement with histopathological analysis. Assessment of both IGH and IGK genes for the clonal rearrangement analysis could be considered for the optimal diagnostic performance of BMI detection in B‐cell NHL.

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