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Assessment of Bone Marrow Involvement in B-Cell non-Hodgkin Lymphoma Using Immunoglobulin Gene Rearrangement Analysis with Next-Generation Sequencing.
Jeon, Min Ji; Yu, Eun Sang; Kim, Dae Sik; Choi, Chul Won; Kim, Ha Nui; Kwon, Jung Ah; Yoon, Soo-Young; Yoon, Jung.
Affiliation
  • Jeon MJ; Division of Hematology-Oncology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, South Korea.
  • Yu ES; Division of Hematology-Oncology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, South Korea.
  • Kim DS; Division of Hematology-Oncology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, South Korea.
  • Choi CW; Division of Hematology-Oncology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, South Korea.
  • Kim HN; Department of Laboratory Medicine, College of Medicine, Korea University Seoul, Seoul, South Korea.
  • Kwon JA; Department of Laboratory Medicine, College of Medicine, Korea University Seoul, Seoul, South Korea.
  • Yoon SY; Department of Laboratory Medicine, College of Medicine, Korea University Seoul, Seoul, South Korea.
  • Yoon J; Department of Laboratory Medicine, College of Medicine, Korea University Seoul, Seoul, South Korea.
J Clin Lab Anal ; 38(6): e25027, 2024 Mar.
Article in En | MEDLINE | ID: mdl-38506403
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.
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Lymphoma, Non-Hodgkin / Lymphoma, B-Cell Limits: Humans Language: En Journal: J Clin Lab Anal Journal subject: TECNICAS E PROCEDIMENTOS DE LABORATORIO Year: 2024 Document type: Article Affiliation country: Corea del Sur Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Lymphoma, Non-Hodgkin / Lymphoma, B-Cell Limits: Humans Language: En Journal: J Clin Lab Anal Journal subject: TECNICAS E PROCEDIMENTOS DE LABORATORIO Year: 2024 Document type: Article Affiliation country: Corea del Sur Country of publication: Estados Unidos