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Record W2586578392 · doi:10.1182/blood.v128.22.151.151

The Clinical Impact of the Cell-of-Origin Classification and the MYC+/BCL2+ Double Expresser Status in DLBCL Treated within Prospective Clinical Trials of the Dshnhl

2016· article· en· W2586578392 on OpenAlexaff
Annette M. Staiger, Marita Ziepert, Heike Horn, David W. Scott, Thomas F.E. Barth, Heinz‐Wolfram Bernd, Alfred C. Feller, Wolfgang Hiddemann, Michael Hummel, Harald Stein, Dido Lenze, Martin‐Leo Hansmann, Sylvia Hartmann, Peter Möeller, Sergio Cogliatti, Georg Lenz, Lorenz Truemper, Markus Loeffler, Norbert Schmitz, Michael Pfreundschuh, Andreas Rosenwald, German Ott

Bibliographic record

VenueBlood · 2016
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsBCL6Fluorescence in situ hybridizationDiffuse large B-cell lymphomaInternal medicineOncologyLymphomaClinical trialImmunohistochemistryMedicineCancer researchPathologyBiologyB cellImmunologyGeneGerminal centerAntibodyGenetics

Abstract

fetched live from OpenAlex

Abstract The Lymph2Cx Cell-of-origin (COO) assay enables the identification of molecular GCB and ABC subtypes of diffuse large B-cell lymphomas (DLBCL) using RNA from formalin-fixed paraffin-embedded (FFPE) samples. In order to explore the prognostic power of this COO assay within the frame of prospectively randomized clinical trials for the first time, we retrospectively performed COO analyses in patient samples from two clinical trials (RICOVER-60: n=360 and R-MegaCHOEP: n=92) of the German High Grade Lymphoma Study Group (DSHNHL) using the Nanostring nCounter®-platform. Immunohistochemistry was done for MYC, FOXP1, LMO2, GCET1, CD5, CD10, BCL2, BCL6, IRF4/MUM1 protein expression, and fluorescence in-situ hybridization was performed for MYC, BCL2 and BCL6 genes with break-apart probes. COO classification was successfully obtained from 414 samples (326/360 (91%) and 88/92 (96%) FFPE samples from the RICOVER60 and R-MegaCHOEP trials, respectively). In the RICOVER-60 study (patients aged > 60 and <80 years), 42% of tumors were classified as ABC-DLBCL, 44% as GCB-DLBCL, and 14% as unclassified. In the R-MegaCHOEP-trial (patient age 18 to 60 years) 27% were of ABC-type, 60% of GCB-type, and 13% were unclassified. Molecular classification provided by the Lymph2Cx correlated well with IPI factors and stringently with the presence or absence of genetic alterations. Upon FISH analysis, 41/44 (93%) BCL2 translocations and all double or triple hit constellations involving MYC/BCL2 or MYC/BCL2/BCL6 were encountered in the GCB group. A higher proportion of MYC breaks also clustered in GCB DLBCL (14% in GCB vs. 3% in ABC) in RICOVER-60 (p=0.005). In contrast, BCL6 translocations were equally distributed in the RICOVER-60 trial while a higher proportion of BCL6 translocations was observed in the ABC-subtype in the R-MegaCHOEP trial. In RICOVER-60, the ABC-DLBCL group was associated with inferior clinical outcome compared with the GCB subtype (p=0.041, p=0.022 and p=0.034 for EFS, PFS and OS, respectively). A significant survival difference was also seen in CHOP-treated patients. This effect, however, was completely abrogated in R-CHOP treated patients with no significant difference observed in EFS, PFS and OS. This result was confirmed in multivariable analyses adjusted for IPI factors. We found the same results for all RICOVER-60 patients after adjustment for IPI factors (EFS: HR=1.1, PFS: HR=1.2, OS: HR=1.2 for ABC vs. GCB) and after adjustment for IPI factors, bulky disease, gender and age > 70 years. In keeping with this result, no survival differences were observed between ABC-DLBCL and GCB-DLBCL patients in the R-MegaCHOEP trial for EFS, PFS and OS, and this was also confirmed in multivariable analysis (data not shown). In the RICOVER-60 trial, patients with concomitant over-expression of both BCL2 (50-100%) and MYC (40-100%) (MYC+/BCL2+ DE DLBCL) showed significantly inferior survival in all R-CHOP treated patients and especially in the GCB subgroup compared with non-expressers [MYC-/BCL2- DLBCL; MYC-/BCL2+] (p<0.001;<0.001 for EFS, p<0.001;0.003 for PFS and p<0.001;0.004 for OS, respectively), but not in the ABC group. When nonMYC+/BCL2+ DE DLBCL were separately analyzed, interestingly, the outcome of ABC DLBCL patients was inferior to that of GCB DLBCL patients and MYC+/BCL2+ DLBCL had a significantly inferior outcome in comparison with ABC non-MYC+/BCL2+ DLBCL (Figure 1: p=0.015, p=0.029 and p=0.008 for EFS, PFS and OS, respectively) and GCB. These results could be confirmed in a multivariable model adjusted for IPI factors for the comparison of dual MYC+/BCL2+ expressers with ABC(non-MYC+/BCL2+) patients, but was not significant for the ABC versus GCB group within the non-MYC+/BCL2+ for EFS (HR=1.6, p=0.301), PFS (HR=1.7, p=0.272)and OS (HR=1.3, p=0.604). In summary, COO profiling alone failed to identify prognostic subgroups, whereas MYC/BCL2 double expression was highly predictive of poor survival. These data from prospective randomized trials demonstrate that older patients and young high-risk patients show significant differences in molecular profiles and, furthermore, indicate that complete subtyping using different molecular methods will be necessary to predict survival under current standard therapy. Only comprehensive molecular analysis of individual patient samples will allow identification of optimal therapy including new molecules. Disclosures Scott: NanoString Technologies: Patents & Royalties: named inventor on a patent for molecular subtyping of DLBCL that has been licensed to NanoString Technologies. Klapper:Roche, Novartis, Amgen, Takeda: Research Funding.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.115
GPT teacher head0.433
Teacher spread0.318 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2016
Admission routes1
Has abstractyes

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