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Record W4405042679 · doi:10.1182/blood-2024-199981

<i>CSF2RB</i> Mutations Result in Cytokine-Dependent Gain-of-Function Phenotypes in Classic Hodgkin Lymphoma

2024· article· en· W4405042679 on OpenAlexaff
Shinya Rai, Tomohiro Aoki, Gerben Duns, Aixiang Jiang, Andrew Lytle, Yifan Yin, Makoto Kishida, Michael Y. Li, Denise Smorra, Chien‐Hsiu Lee, Katy Milne, Adèle Telenius, Luke O’Brien, Katsuyoshi Takata, Tomoko Miyata‐Takata, Merrill Boyle, Susana Ben‐Neriah, Andrew P. Weng, Andrew Roth, Brad H NelsonH, Laura K. Hilton, Pedro Farinha, Kerry J. Savage, David W. Scott, Christian Steidl

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsTerry Fox Research InstitutePrincess Margaret Cancer CentreUniversity of British ColumbiaSpinal Cord Injury BC
Fundersnot available
KeywordsBiologyCancer researchExome sequencingCytokineMutationGeneticsGene

Abstract

fetched live from OpenAlex

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.261
Teacher spread0.246 · 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 designBench or experimental
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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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