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Omics · study · 2026

Elucidating the role of IRF4 in reprogramming the tumor microenvironment in follicular lymphoma

Listed in NCBI GEO

Despite a characteristic indolent course, a substantial subset of follicular lymphoma (FL) patients has an early relapse with a poor outcome.

Description

Thus far, efforts to identify factors that predict survival have been unsuccessful. However, we and others have demonstrated the prognostic relevance of the tumor microenvironment (TME) in FL and provided initial evidence for the role of specific genetic alterations in shaping different environments with highly dissimilar clinical courses.

Yet, the crosstalk between malignant B cells and other immune cells of the TME is poorly understood, as is the role of molecular alterations in modulating this interplay. This underscores the urgent need to improve our understanding of how tumor-immune interactions may drive lymphomagenesis and represent therapeutic vulnerabilities. Through massive genetic and transcriptomic sequencing, we found that FL patients with increased expression of IRF4, an NF-kB target with a critical role in B cell differentiation, display dysregulated immune signatures and an immunosuppressive TME with a poor prognosis.

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We hypothesize that increased IRF4 expression disrupts the immune synapse between B cells and T follicular helper (TFH) cells while promoting suppressive T follicular regulatory (TFR) cells, in part by preventing induction of selection molecules such as CD40 and PDL1, and in part by rewiring cytokines release. To test our hypothesis, we propose three specific aims. In Aim 1, we will use novel transgenic mouse models with overexpression and deletion of irf4 to investigate whether and how IRF4 controls tumor immunity in normal and malignant B cells by integrating single-cell transcriptional and translational (CITE-seq) analysis.

In Aim 2, we will use high dimensional cytometry (CyTOF), spatially resolved proteomics (CODEX), and CITE-seq in the same mouse models to define the effect of B cells with different IRF4 status on TFH cells. In Aim 3, we will use single-cell transcriptomic and proteomic tools to elucidate the role of TFR cells in response to B cells differently expressing IRF4. The findings of all aims will be validated in human FL samples.

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Life Sciences
Inferred from text
Cancer 65% · Mass spectrometry 65% · Sequencing 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE3379227 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[disease].local:disease:cancerenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[method].geo_series_type:othersource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:mass-spectrometryenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
concepts[modality].local:modality:sequencingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[organism].NCBITaxon:10090source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title