<i>CSF2RB</i> Mutations Result in Cytokine-Dependent Gain-of-Function Phenotypes in Classic Hodgkin Lymphoma
Notice bibliographique
Résumé
Introduction: Classic Hodgkin lymphoma (CHL) is currently classified into subtypes based on morphology and pathological features. However, there is accumulating evidence that subtypes of CHL can also be distinguished by their genomic profiles. To delineate molecular subtypes of CHL, we applied non-negative matrix factorization (NMF) consensus clustering and discovered four robust subsets of tumors (clusters) using recurrent genomic events (Aoki, et al. ASH 2023). In particular, we found frequent CSF2RB mutations in cluster 1, which is characterized by mutations in TNFAIP3, CSF2RB and GNA13. CSF2RB is the common signaling subunit of the cytokine receptors for IL-3, IL-5, and GM-CSF, with cytokine-independent activating mutations previously reported in the transmembrane and extracellular domains in pediatric T-cell acute lymphoblastic leukemia, and breast cancer, respectively. However, the functional role of CSF2RB mutations in CHL pathogenesis remains unknown. Materials and methods: We performed targeted and whole exome sequencing of Hodgkin and Reed-Sternberg (HRS) cells (n=116) purified using laser capture microdissection and flow cytometry (FCM)-based cell sorting. For in vitro functional studies, we retrovirally expressed CSF2RB WT or mutants observed in CHL tumors into two CHL-derived cell lines (L428, U-HO1). Using these isogenic models, we characterized the full spectrum of domain-specific mutations and elucidated the role of CSF2RB alterations in oncogenic signaling. Moreover, to investigate spatial tumor microenvironment architecture, we performed imaging mass cytometry (IMC) on the exome/targeted sequencing cohort using a customized antibody panel. Results: In 26/107 cases (24.3%), we identified recurrent CSF2RB mutations, which clustered in the cytoplasmic domain (exon 14). Mutations were categorized as missense (n=2), multiple-hit (n=3), and truncating (n=21) mutations. Functional characterization in the L428 model showed that STAT5 was hyperphosphorylated in cells expressing all truncating mutants observed in cases with CHL (p.S723*, p.E788*, p.Lys838*, p.Q853*, p.Q867*, and p.Gln885*) compared to WT cells in an IL-5-dependent manner. Focusing on the functional consequences of the most commonly observed hotspot, the CSF2RB-p.E788* frameshift mutation, we generated cells with a CSF2RB heterozygous genotype by 1:1 transfection of WT and mutant alleles (WT/p.E788*) in U-HO1. With IL-3 or IL-5 (but not GM-CSF) stimulation, we validated that pSTAT5 was markedly higher in WT/p.E788* compared to WT cells. Differential gene expression analysis by RNA-seq revealed up-regulation of common IL-2 signaling pathway molecules and cytokine gene expression signatures, including genes such as IL-13 and CCL17 (TARC) in p.E788* cells compared to WT cells in the L428 model. These findings were validated in the U-HO1 model with IL-3 or IL-5 stimulation. In accord with the gene expression results, we detected higher amounts of IL-13 and TARC by ELISA in the supernatant from cells expressing all truncating mutants compared with WT cells in the L428 model. Furthermore, these gain-of-function phenotypes could be reversed by a selective JAK2 inhibitor (pacritinib), suggesting deregulated cytokine-dependent JAK2-STAT5 signaling leads to increases in IL-13 and CCL17 protein expression. Next, we performed an in-vitro transwell T-cell migration assay using peripheral blood mononuclear cells from healthy donors and found that supernatant from p.E788* cells significantly enhanced migration of CCR4+ T cells, which contains FOXP3+ Tregs, compared with supernatant from WT cells. Enhanced migration was completely blocked by an anti-CCR4 antagonist. Finally, spatial analysis using IMC data confirmed the close proximity between CCL17+ HRS cells and CCR4+ T cells in primary CHL samples. In particular, we observed a significant enrichment of FOXP3+ Tregs in close proximity to HRS cells in the CSF2RB-mutation enriched molecular cluster. Conclusion: CSF2RB mutations contribute to deregulated, cytokine-dependent, oncogenic signaling, leading to downstream IL-13 related cell-autonomous phenotypes and TARC related tumor microenvironment composition and functions. We predict these phenotypes will pinpoint therapeutically targetable vulnerabilities, and may provide precision therapeutic approaches based on genetic subtype definitions in CHL.
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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 ».