Literature DB >> 36219238

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

Alberto Zamò1,2, Elena Gerhard-Hartmann1,2, German Ott3, Ioannis Anagnostopoulos1,2, David W Scott4, Andreas Rosenwald1,2, Hilka Rauert-Wunderlich5,6.   

Abstract

The subclassification of diffuse large B-cell lymphoma (DLBCL) into germinal center B-cell-like (GCB) and activated B-cell-like (ABC) subtypes has become mandatory in the 2017 update of the WHO classification of lymphoid neoplasms and will continue to be used in the WHO 5th edition. The RNA-based Lymph2Cx assay has been validated as a reliable surrogate of high-throughput gene expression profiling assays for distinguishing between GCB and ABC DLBCL and provides reliable results from formalin-fixed, paraffin-embedded (FFPE) material. This test has been previously used in clinical trials, but experience from real-world routine application is rare. We routinely applied the Lymph2Cx assay to day-to-day diagnostics on a series of 147 aggressive B-cell lymphoma cases and correlated our results with the immunohistochemical subclassification using the Hans algorithm and fluorescence in situ hybridization findings using break-apart probes for MYC, BCL2, and BCL6. The routine use of the Lymph2Cx assay had a high technical success rate (94.6%) with a low rate of failure due to poor material and/or RNA quality. The Lymph2Cx assay was discordant with the Hans algorithm in 18% (23 of 128 cases). Discordant cases were mainly classified as GCB by the Hans algorithm and as ABC by Lymph2Cx (n = 11, 8.6%). Only 5 cases (3.9%) were classified as non-GCB by the Hans algorithm and as GCB by Lymph2Cx. Additionally, 5.5% of cases (n = 7) were left unclassified by Lymph2Cx, whereas they were defined as GCB (n = 4) or non-GCB (n = 3) by the Hans algorithm. Our data support the routine applicability of the Lymph2Cx assay.
© 2022. The Author(s).

Entities:  

Keywords:  Cell of origin; Diffuse large B-cell lymphoma; Hans algorithm; Lymph2Cx assay

Year:  2022        PMID: 36219238     DOI: 10.1007/s00428-022-03420-6

Source DB:  PubMed          Journal:  Virchows Arch        ISSN: 0945-6317            Impact factor:   4.535


  32 in total

1.  Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning.

Authors:  Margaret A Shipp; Ken N Ross; Pablo Tamayo; Andrew P Weng; Jeffery L Kutok; Ricardo C T Aguiar; Michelle Gaasenbeek; Michael Angelo; Michael Reich; Geraldine S Pinkus; Tane S Ray; Margaret A Koval; Kim W Last; Andrew Norton; T Andrew Lister; Jill Mesirov; Donna S Neuberg; Eric S Lander; Jon C Aster; Todd R Golub
Journal:  Nat Med       Date:  2002-01       Impact factor: 53.440

2.  A gene expression-based method to diagnose clinically distinct subgroups of diffuse large B cell lymphoma.

Authors:  George Wright; Bruce Tan; Andreas Rosenwald; Elaine H Hurt; Adrian Wiestner; Louis M Staudt
Journal:  Proc Natl Acad Sci U S A       Date:  2003-08-04       Impact factor: 11.205

3.  Lenalidomide combined with R-CHOP overcomes negative prognostic impact of non-germinal center B-cell phenotype in newly diagnosed diffuse large B-Cell lymphoma: a phase II study.

Authors:  Grzegorz S Nowakowski; Betsy LaPlant; William R Macon; Craig B Reeder; James M Foran; Garth D Nelson; Carrie A Thompson; Candido E Rivera; David J Inwards; Ivana N Micallef; Patrick B Johnston; Luis F Porrata; Stephen M Ansell; Randy D Gascoyne; Thomas M Habermann; Thomas E Witzig
Journal:  J Clin Oncol       Date:  2014-08-18       Impact factor: 44.544

4.  Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling.

Authors:  A A Alizadeh; M B Eisen; R E Davis; C Ma; I S Lossos; A Rosenwald; J C Boldrick; H Sabet; T Tran; X Yu; J I Powell; L Yang; G E Marti; T Moore; J Hudson; L Lu; D B Lewis; R Tibshirani; G Sherlock; W C Chan; T C Greiner; D D Weisenburger; J O Armitage; R Warnke; R Levy; W Wilson; M R Grever; J C Byrd; D Botstein; P O Brown; L M Staudt
Journal:  Nature       Date:  2000-02-03       Impact factor: 49.962

5.  Molecular profiling of diffuse large B-cell lymphoma identifies robust subtypes including one characterized by host inflammatory response.

Authors:  Stefano Monti; Kerry J Savage; Jeffery L Kutok; Friedrich Feuerhake; Paul Kurtin; Martin Mihm; Bingyan Wu; Laura Pasqualucci; Donna Neuberg; Ricardo C T Aguiar; Paola Dal Cin; Christine Ladd; Geraldine S Pinkus; Gilles Salles; Nancy Lee Harris; Riccardo Dalla-Favera; Thomas M Habermann; Jon C Aster; Todd R Golub; Margaret A Shipp
Journal:  Blood       Date:  2004-11-18       Impact factor: 22.113

6.  Targeting B cell receptor signaling with ibrutinib in diffuse large B cell lymphoma.

Authors:  Wyndham H Wilson; Ryan M Young; Roland Schmitz; Yandan Yang; Stefania Pittaluga; George Wright; Chih-Jian Lih; P Mickey Williams; Arthur L Shaffer; John Gerecitano; Sven de Vos; Andre Goy; Vaishalee P Kenkre; Paul M Barr; Kristie A Blum; Andrei Shustov; Ranjana Advani; Nathan H Fowler; Julie M Vose; Rebecca L Elstrom; Thomas M Habermann; Jacqueline C Barrientos; Jesse McGreivy; Maria Fardis; Betty Y Chang; Fong Clow; Brian Munneke; Davina Moussa; Darrin M Beaupre; Louis M Staudt
Journal:  Nat Med       Date:  2015-07-20       Impact factor: 53.440

7.  Confirmation of the molecular classification of diffuse large B-cell lymphoma by immunohistochemistry using a tissue microarray.

Authors:  Christine P Hans; Dennis D Weisenburger; Timothy C Greiner; Randy D Gascoyne; Jan Delabie; German Ott; H Konrad Müller-Hermelink; Elias Campo; Rita M Braziel; Elaine S Jaffe; Zenggang Pan; Pedro Farinha; Lynette M Smith; Brunangelo Falini; Alison H Banham; Andreas Rosenwald; Louis M Staudt; Joseph M Connors; James O Armitage; Wing C Chan
Journal:  Blood       Date:  2003-09-22       Impact factor: 22.113

8.  The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma.

Authors:  Andreas Rosenwald; George Wright; Wing C Chan; Joseph M Connors; Elias Campo; Richard I Fisher; Randy D Gascoyne; H Konrad Muller-Hermelink; Erlend B Smeland; Jena M Giltnane; Elaine M Hurt; Hong Zhao; Lauren Averett; Liming Yang; Wyndham H Wilson; Elaine S Jaffe; Richard Simon; Richard D Klausner; John Powell; Patricia L Duffey; Dan L Longo; Timothy C Greiner; Dennis D Weisenburger; Warren G Sanger; Bhavana J Dave; James C Lynch; Julie Vose; James O Armitage; Emilio Montserrat; Armando López-Guillermo; Thomas M Grogan; Thomas P Miller; Michel LeBlanc; German Ott; Stein Kvaloy; Jan Delabie; Harald Holte; Peter Krajci; Trond Stokke; Louis M Staudt
Journal:  N Engl J Med       Date:  2002-06-20       Impact factor: 91.245

9.  Leveraging gene expression subgroups to classify DLBCL patients and select for clinical benefit from a novel agent.

Authors:  Alberto Risueño; Patrick R Hagner; Fadi Towfic; Celia Fontanillo; Amira Djebbari; Joel S Parker; Clifton P Drew; Grzegorz S Nowakowski; Matthew J Maurer; James R Cerhan; Xin Wei; Yan Ren; Chung-Wein Lee; Suzana Couto; Maria Wang; Michael Pourdehnad; Anita K Gandhi; Matthew W B Trotter
Journal:  Blood       Date:  2020-03-26       Impact factor: 22.113

10.  Stromal gene signatures in large-B-cell lymphomas.

Authors:  G Lenz; G Wright; S S Dave; W Xiao; J Powell; H Zhao; W Xu; B Tan; N Goldschmidt; J Iqbal; J Vose; M Bast; K Fu; D D Weisenburger; T C Greiner; J O Armitage; A Kyle; L May; R D Gascoyne; J M Connors; G Troen; H Holte; S Kvaloy; D Dierickx; G Verhoef; J Delabie; E B Smeland; P Jares; A Martinez; A Lopez-Guillermo; E Montserrat; E Campo; R M Braziel; T P Miller; L M Rimsza; J R Cook; B Pohlman; J Sweetenham; R R Tubbs; R I Fisher; E Hartmann; A Rosenwald; G Ott; H-K Muller-Hermelink; D Wrench; T A Lister; E S Jaffe; W H Wilson; W C Chan; L M Staudt
Journal:  N Engl J Med       Date:  2008-11-27       Impact factor: 91.245

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