Gene Expression Profiling of Microdissected Hodgkin Reed Sternberg Cells: Molecular Subtypes and Treatment Outcome Correlations.
Notice bibliographique
Résumé
Abstract Abstract 268 INTRODUCTION: Classical Hodgkin lymphoma (cHL) is unique among lymphomas due to the scarcity of the malignant Hodgkin Reed Sternberg (HRS) cells, which are derived from clonal germinal center B cells. Investigations using laser capture microdissection permit more detailed analysis of these cells. However, most recent studies were limited by low case numbers and lack of available clinical data. PATIENTS AND METHODS: We studied 29 cases of cHL and the 5 HL lines KMH2, HDLM2, L428, L540, and L1236 by gene expression profiling. All patients were treated at the BC Cancer Agency between 1984 and 2006 and received at least 4 cycles of polychemotherapy and stage-dependent radiotherapy. The cohort also included 5 biopsies taken at relapse. Treatment failure was defined as disease progression or relapse at any time (n=14) after initiation of treatment; treatment success as absence of progression (n=15). We used laser microdissection (Molecular Machines & Industries Cellcut with Nikon Eclipse TE2000-S microscope) to study the enriched HRS cell compartment separately from the microenvironment. RNA extraction was performed on pools of 1000 microdissected HRS cells in each case. Gene expression profiles were generated using Affymetrix HG UA133 2.0 Plus arrays using two-cycle labeling reactions. HRS cell profiles were compared to microdissected germinal centers (GC), and HL cell line profiles compared to enriched tonsillar CD77+ centroblasts (MACS cell separation, Miltenyi). Furthermore, we compared gene expression profiles of treatment failures to those of treatment successes. RESULTS: We identified 1342 differentially expressed probesets (fold change >5, False Discovery Rate (FDR) adjusted p value <0.001) between HRS and GC cells. Using overrepresentation analysis we found genes involved in NFκB, JAK/Stat, IL-6, IL-9 signaling, cytotoxic T lymphocyte-mediated apoptosis and IL-15 production to be significantly over-expressed in HRS cells and genes involved in B cell, T cell receptor signaling and many transcriptional regulators such as FOXO1, E2F5, IRF8, NFATC1, NFYB, POU2AF1 to be significantly under-expressed in HRS cell. Comparison of these data to differentially expressed genes in the HL cell lines (1004 genes, fold change >5, FDR-adjusted p value <0.001) showed significant overlap of genes involved in proliferation, apoptosis, IL15 signaling and B cell receptor signaling, while overrepresentation of metabolism genes was unique to the cell lines. Hierarchical clustering of all 29 primary HL cases identified 3 separate clusters characterized by 1) a cytotoxic signature, 2) TNF/TGFB receptor signaling or 3) a residual B cell signature. Dichotomizing the profiles into the two treatment outcome groups demonstrated that NFγB signaling, complement system genes and genes involved in the developmental process of hematopoietic progenitor cells, macrophages and blood vessels were overexpressed in treatment failure samples. DISCUSSION: Using microdissection of HRS cells in a large number of cases we were able to further characterize the unique expression program of HL and refine the data inventory about dysregulated cellular functions and pathways in this disease. Overexpression of genes associated with NFκB, complement and hematopoietic progenitor cells proliferation correlate strongly with treatment failure. Further study using immunohistochemistry is currently ongoing to validate these findings and to develop clinically useful biomarkers. Disclosures: Gascoyne: Roche Canada: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.
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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 | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| 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 ».