MétaCan
Menu
← Retour à la cohorte
Enregistrement W2902802838 · doi:10.1182/blood-2018-99-116827

The Double-Hit Gene Expression Signature Defines a Clinically and Biologically Distinct Subgroup within GCB-DLBCL

2018· article· en· W2902802838 sur OpenAlexaffabout
Daisuke Ennishi, Aixiang Jiang, Merrill Boyle, Brett Collinge, Bruno M. Grande, Susana Ben‐Neriah, Graham W. Slack, Pedro Farinha, Diego Villa, Anja Mottok, Barbara Meissner, Saeed Saberi, Ali Bashashati, Kerry J. Savage, Laurie H. Sehn, Robert Kridel, Marco A. Marra, Sohrab P. Shah, Christian Steidl, Joseph M. Connors, Randy D. Gascoyne, Ryan D. Morin, David W. Scott

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensCanada's Michael Smith Genome Sciences CentreSimon Fraser UniversityPrincess Margaret Cancer CentreUniversity of TorontoUniversity of British ColumbiaSpinal Cord Injury BC
Organismes subventionnairesnon disponible
Mots-clésBCL6LymphomaDiffuse large B-cell lymphomaPopulationOncologyBiologyGene signatureGeneInternal medicineCancer researchGene expressionMedicineGeneticsB cellGerminal centerAntibody

Résumé

récupéré en direct d'OpenAlex

Abstract Recognizing biological heterogeneity in diffuse large B-cell lymphoma (DLBCL), significant effort has been made to define distinct molecular subgroups of prognostic importance which harbor potentially targetable biology. Reflecting this, in the recent revision of the WHO classification, DLBCL was divided into cell-of-origin molecular subtypes and a new entity was defined - high-grade B-cell lymphoma with MYC and BCL2 and/or BCL6 rearrangements (HGBL-DH/TH). ~8% of tumors with DLBCL morphology are HGBL-DH/TH and all HGBL-DH/TH with BCL2 translocations (HGBL-DH/TH-BCL2) are of the GCB molecular subtype. To explore specific biology operating in HGBL-DH/TH-BCL2, we analyzed RNAseq data from 157 de novo GCB DLBCL tumors (25 being HGBL-DH/TH-BCL2) with the aim of defining gene expression signatures that distinguish such cases from other GCB-DLBCLs. We identified 104 genes that were most significantly differentially expressed between HGBL-DH/TH-BCL2 and other GCB-DLBCLs, defined as having a 95% confidence interval of the Importance Score that did not cross 0. A model constructed from the expression of these genes clustered 42 tumors into one group ("double-hit signature" positive - DHITsig pos), and 115 tumors into the DHITsig neg group. 22 tumors were HGBL-DH/TH-BCL2 within the DHITsig pos group compared with only 3 tumors in the DHITsig neg group. We next assessed the clinical impact of the DHITsig within a uniformly R-CHOP treated cohort of de novo GCB-DLBCL drawn from a population-based registry, which included the discovery cases. The DHITsig pos group had significantly inferior outcomes for time to progression (TTP) and overall survival (OS) (P < 0.001 and P = 0.01, respectively) similar to ABC-DLBCL (Figs A, B). Notably, the non-HGBL-DH/TH-BCL2 cases sharing the DHITsig showed the same poor prognosis as the HGBL-DH/TH-BCL2 cases. A multivariate Cox model of TTP revealed that DHITsig remained prognostic, independent of IPI and MYC/BCL2 dual protein expression (HR = 3.1 [1.5 - 6.4], P = 0.002). We then applied this gene expression model to GCB-DLBCL in an independent dataset (n = 262 GCB-DLBCLs; Reddy et al,Cell 2017). Validating the prognostic significance, the DHITsig pos group had significantly inferior OS compared with other GCB-DLBCLs (P < 0.001) similar to ABC-DLBCL (Fig C). We then sought to determine whether differentially expressed genes, according to DHITsig, could inform on the biology of the DHITsig pos group. Gene set enrichment analysis (GSEA) strongly suggested a germinal centre dark-zone (DZ) cell-of-origin for the DHITsig pos tumors with significant enrichment of DZ and light-zone (LZ) gene signatures (Victora et al, Blood 2012) in DHITsig pos and neg tumors, respectively (FDR = 0.002 and < 0.001). Furthermore, the DHITsig pos group had up-regulation of pathways related to mitochondrial metabolism and RNA synthesis (both FDR < 0.001). We separately identified mutations associated with DHITsig pos cases within GCB-DLBCL. In addition to the expected enrichment of MYC and BCL2 mutations, chromatin modifiers EZH2 and CREBBP, as well as RFX7 and DDX3X (mutated in Burkitt lymphoma), were more frequently mutated in DHITsig pos tumors. In contrast, mutations of TNFAIP3, MYD88 and IRF4, more typical of ABC-DLBCLs, were more prevalent in DHITsig neg tumors. To enable application to FFPE biopsies, the DLBCL90 NanoString assay was developed by translating the DHIT gene expression signature into a 30-gene module that was then added to the Lymph2Cx assay. The DLBCL90 assay was applied to 171 DLBCL tumors (including 156 from the discovery cohort), yielding 26% DHITsig pos, 64% DHITsig neg, and 10% unclassified, with a frank misclassification rate of 3% against the RNAseq comparator. The prognostic significance of the groups was maintained (Fig D). Importantly, the DHITsig neg group had a disease specific survival of 91% at 5 years. To validate the association between the DHITsig and HGBL-DH/TH-BCL2 tumors, the DLBCL90 assay was applied to 113 transformed follicular lymphoma tumors. Within the DHITsig pos group, 19/34 tumors were HGBL-DH/TH-BCL2 compared with 0/58 in the DHITsig neg group. In conclusion, we have identified a clinically and biologically distinct subgroup of GCB-DLBCL tumors that are defined by the HGBL-DH/TH-BCL2 gene signature. The translation to an assay applicable to FFPE allows exploration of its utility to guide patient management within the context of clinical trials. Figure. Figure. Disclosures Sehn: Merck: Consultancy, Honoraria; TG Therapeutics: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Lundbeck: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Morphosys: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Roche/Genentech: Consultancy, Honoraria; Janssen: Consultancy, Honoraria. Steidl:Nanostring: Patents & Royalties: patent holding; Roche: Consultancy; Tioma: Research Funding; Seattle Genetics: Consultancy; Bristol-Myers Squibb: Research Funding; Juno Therapeutics: Consultancy. Connors:Cephalon: Research Funding; Amgen: Research Funding; F Hoffmann-La Roche: Research Funding; Roche Canada: Research Funding; Bristol Myers-Squibb: Research Funding; Janssen: Research Funding; Bayer Healthcare: Research Funding; Takeda: Research Funding; NanoString Technologies: Patents & Royalties: Named Inventor on a patent licensed to NanoString Technologies, Research Funding; Seattle Genetics: Honoraria, Research Funding; Merck: Research Funding; Genentech: Research Funding; Lilly: Research Funding. Gascoyne:NanoString: Patents & Royalties: Named Inventor on a patent licensed to NanoString Technologies. Scott:Roche: Research Funding; Celgene: Consultancy, Honoraria; NanoString: Patents & Royalties: Named Inventor on a patent licensed to NanoString Technologies, Research Funding; Janssen: Research Funding.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,003

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,023
Tête enseignante GPT0,282
Écart entre enseignants0,259 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2018
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueBlood→Même sujetLymphoma Diagnosis and Treatment→Travaux en français237 207→