Literature DB >> 32287077

Comparison of the Lymph2Cx Assay and Hans Algorithm in Determining the Cell-of-Origin of Diffuse Large B-Cell Lymphomas, Not Otherwise Specified.

Inju Cho1,2, Nara Yoon3, Jiyeon Hyeon1,3, Jongmin Sim1, Hae Yong Yoo4, Seok Jin Kim5, Won Seog Kim5, Young Hyeh Ko1.   

Abstract

In the era of precision medicine, accurate and reproducible assignment of cell-of-origin (COO) in diffuse large B-cell lymphoma patients has become important. The Lymph2Cx assay is accurately determining COO by analyzing RNA expression of 20 selected genes while the Hans algorithm based on immunohistochemistry is the most popular method for routine daily diagnosis. However, there are discrepancies between the 2 methods, which need to be evaluated for better correlation. We prospectively analyzed 156 cases of diffuse large B-cell lymphoma, not otherwise specified to analyze the characteristics of discrepancy groups of COO determined by Lymph2Cx and Hans algorithm. We investigated the pattern and cause of discrepancy of COO assigned by the 2 methods. Hans algorithm classified 50 cases (32%) as germinal-center B-cell-like (GCB) type and 106 cases (68%) as non-GCB type. Lymph2Cx assay assigned 43 cases (28%) as GCB type, 94 cases (60%) as activated B-cell-like type, and 19 cases (12%) as intermediate/unclassified type. The agreement rate was 86% after exclusion of unclassified type. With regard to the clinicopathologic factors related with discrepancy between Hans algorithm and Lymph2Cx assay, endoscopic biopsy of the gastrointestinal tract (4/11, 36%) showed higher discrepancy rate (P=0.052). Immunophenotypically, CD10/BCL6/MUM1 GCB type and CD10/BCL6//MUM1 (=30%, low level expression) non-GCB type exhibited a significantly higher discrepancy rate (6/13, 46%; 4/13, 31%) (P=0.0001). Activated B-cell-like subgroup via Lymph2Cx assay predicted poor progression-free survival (mean survival duration 28.6 mo, P=0.049) compared with the GCB and unclassified type. Hans algorithm revealed no significant difference in progression-free survival and overall survival (P=0.122 and 0.121). These results suggest that when assigning COO via Hans algorithm, CD10/BCL6/MUM1 GCB type and CD10/BCL6/MUM1 (=30%, low level) non-GCB type require careful interpretation, especially if the MUM1 staining is weak and heterogeneous in the biopsied specimen.

Entities:  

Year:  2020        PMID: 32287077     DOI: 10.1097/PAI.0000000000000843

Source DB:  PubMed          Journal:  Appl Immunohistochem Mol Morphol        ISSN: 1533-4058


  5 in total

1.  Routine application of the Lymph2Cx assay for the subclassification of aggressive B-cell lymphoma: report of a prospective real-world series.

Authors:  Alberto Zamò; Elena Gerhard-Hartmann; German Ott; Ioannis Anagnostopoulos; David W Scott; Andreas Rosenwald; Hilka Rauert-Wunderlich
Journal:  Virchows Arch       Date:  2022-10-11       Impact factor: 4.535

Review 2.  Prognostic molecular biomarkers in diffuse large B-cell lymphoma in the rituximab era and their therapeutic implications.

Authors:  Sotirios G Papageorgiou; Thomas P Thomopoulos; Ioannis Katagas; Anthi Bouchla; Vassiliki Pappa
Journal:  Ther Adv Hematol       Date:  2021-05-24

3.  Immunophenotypic Landscape and Prognosis of Diffuse Large B-Cell Lymphoma with MYC/BCL2 Double Expression: An Analysis of A Prospectively Immunoprofiled Cohort.

Authors:  Bogyeong Han; Sehui Kim; Jiwon Koh; Jeemin Yim; Cheol Lee; Dae Seog Heo; Tae Min Kim; Jin Ho Paik; Yoon Kyung Jeon
Journal:  Cancers (Basel)       Date:  2020-11-09       Impact factor: 6.639

4.  Real-World, Single-Center Data for Lenalidomide Plus Rituximab in Relapsed or Refractory Diffuse Large B-Cell Lymphoma and Transformed Follicular Lymphoma.

Authors:  Yong-Pyo Lee; Jung Yong Hong; Sang Eun Yoon; Junhun Cho; Joon-Ho Shim; Yeonghak Bang; Won Seog Kim; Seok Jin Kim
Journal:  Cancer Manag Res       Date:  2021-05-28       Impact factor: 3.989

5.  Artificial Neural Networks Predicted the Overall Survival and Molecular Subtypes of Diffuse Large B-Cell Lymphoma Using a Pancancer Immune-Oncology Panel.

Authors:  Joaquim Carreras; Shinichiro Hiraiwa; Yara Yukie Kikuti; Masashi Miyaoka; Sakura Tomita; Haruka Ikoma; Atsushi Ito; Yusuke Kondo; Giovanna Roncador; Juan F Garcia; Kiyoshi Ando; Rifat Hamoudi; Naoya Nakamura
Journal:  Cancers (Basel)       Date:  2021-12-20       Impact factor: 6.639

  5 in total

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