Mechanisms of Bcl-2 Protein Expression in Diffuse Large B-Cell Lymphoma (DLBCL).
Notice bibliographique
Résumé
Abstract Background: Bcl-2 protein expression is an important biomarker in DLBCL. Gene expression profiling also has prognostic relevance in DLBCL, establishing cell-of-origin (GCB vs non-GCB) as an important predictor of survival. Using tissue microarrays (TMA), immunohistochemical staining can be used to provide biomarker data that correlates closely with the results of gene expression profiling in predicting outcome (Hans et al, Blood 103; 275–82: 2004). The t(14;18) can be detected in DLBCL, with frequencies varying between 5–40%. The aim of this study was to clarify the different mechanisms leading to Bcl-2 expression in a cohort of patients with DLBCL. Methods: The study group consisted of 94 patients with de novo DLBCL, all with a clonal karyotype at diagnosis and treated with curative intent. A TMA was constructed with duplicate 0.6mm cores and stained for Bcl-2, CD10, Bcl-6, MUM1 and FOXP1. Cases were called positive if more than 30% of the tumor cells expressed a given protein. Cases were defined as GCB if they were CD10+. Non-GCB was defined as CD10−, MUM1+ and/or FOXP1+. Cytogenetic studies were performed routinely and locus-specific FISH was performed using commercially available Vysis probes (dual-color LSI IGH/BCL2) to detect the t(14;18). Unbalanced increases in BCL2 gene copy number were determined by comparison of BCL2 and IGH signals and correlation with the karyotype. Results: The IPI was highly predictive of overall survival (OS) (p < 0.00001). The t(14;18) was detected by both routine cytogenetics and FISH in 24 (25%) cases, but did not predict survival (p = 0.78). None of the non-GCB cases harbored a t(14;18). The t(14;18) and isolated BCL2 copy number gain were mutually exclusive. Expression of Bcl-2 protein and GCB-type immunostaining profile each predicted OS (p = 0.008 and 0.03, respectively). Expression of Bcl-2 was imperfectly correlated with either the t(14;18) or a non-GCB immunostaining profile, but was highly correlated with cases harboring an increased gene copy number for BCL2 (see Table, χ2 p=0.005). Increased BCL2 gene copy number did not predict OS (p = 0.43), a not unexpected finding as it accounts for only a proportion of Bcl-2 protein-positive cases. Cases lacking both the t(14;18) and increased BCL2 copy number were deemed cytogenetically “normal”, accounting for 47 cases. These were distributed between the GCB (42%) and non-GCB cases (62%). Of the cytogenetically “normal” cases, 35% of the GCB and 63% of the non-GCB expressed Bcl-2 protein. BCL2 Probe Result GCB(55) Non-GCB(39) n Bcl2 protein + n Bcl2 protein + t(14;18)(q32;21) 24 18 0 0 ⇑ Gene Copy# 8 6 15 14 “Normal” 23 8 24 15 Conclusions: We conclude that multiple mechanisms are responsible for Bcl-2 expression in DLBCL. Non-GCB cases do not harbor the t(14;18), more commonly have isolated BCL2 gene copy number gain and have a higher percentage of cytogenetically “normal” BCL2 protein-positive cases. The latter finding suggests a prominent role for transcriptional up-regulation of the BCL2 gene resulting from constitutive activation of NF- κB. DLBCL cases with a t(14;18) are always GCB and never show isolated BCL2 gene copy number gains, suggesting that these two events are mutually exclusive. The impact of other mechanisms (e.g. epigenetic changes, promoter hypomethylation) deregulating BCL2 expression requires further study. Bcl-2 protein expression and cell-of-origin (GCB vs non-GCB) are predictive biomarkers in DLBCL.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».