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Record W2953047243 · doi:10.1002/hon.108_2629

DECIPHERING THE CONTRIBUTION OF MACROPHAGES TO FOLLICULAR LYMPHOMA PATHOGENESIS: NEW INSIGHTS INTO THERAPY

2019· article· en· W2953047243 on OpenAlexaff
Patricia Pérez Galán, Juan García Valero, Alba Matas‐Céspedes, Vanina Rodríguez, Fabián Arenas, Joaquim Carreras, Neus Serrat, Martina Guerrero‐Hernández, M. Corbera, A. Yahiaoui, Silvia Martín, Alfredo Rivas‐Delgado, Stacey Tannheimer, María C. Cid, Elı́as Campo, Armando López‐Guillermo, Dolors Colomer

Bibliographic record

VenueHematological Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsGilead Sciences (Canada)
Fundersnot available
KeywordsCD163Follicular lymphomaFollicular dendritic cellsCancer researchIn vivoM2 MacrophageCD68Tumor microenvironmentCell cultureCD20LymphomaTumor-associated macrophageChemistryMolecular biologyMacrophageMedicineImmunologyBiologyImmunohistochemistryIn vitroT cellImmune systemAntigen-presenting cellTumor cells

Abstract

fetched live from OpenAlex

Introduction: Follicular Lymphoma (FL) represents the paradigm of a lymphoid neoplasia depending on microenvironment. Early studies by gene expression profiling (GEP) in FL tumor biopsies found that those cases enriched in certain genes expressed mainly in macrophages and Follicular Dendritic Cells (FDC) showed an inferior outcome (Dave et al, NEJM 2004). In the current study we have analyzed the three-way crosstalk of FL-FDC-M2, the correlation of CSF1-R expression, the M-CSF receptor essential for macrophage differentiation, with FL clinical data, and explored the potential antitumor effect of FL-M2 disruption using a specific CSF1-R inhibitor in combination with anti-B cell therapies. Methods: Primary FL cells (n=5) were co-culture (48h) with M2 macrophages at 4:1 ratio, generated from peripheral blood monocytes of healthy donors (100ng/mL M-CSF). Purified B cells (CD20 beads, Miltenyi) were subjected to GEP using HG-U219 microarray (Affymetrix). Data mining analysis was done with GSEA software. IHC analysis of CSF1-R and CD163 expression were performed in FFPE of FL patients (grade 0-2 (n=59) grade 3a-3b (n=28)). In vivo FL-FDC mouse model was generated by sc inoculation of the FL cell lines RL or WSU-FSCCL w/wo the FDC non-immortalized cell line HK in SCID mice. Results: In vivo, FDC significantly increased FL cell lines tumorigenicity (p<0.001), being these FL-FDC co-xenografts highly infiltrated with mouse M2 macrophages (CD206+). Remarkably, macrophage depletion (liposomal clodronate) significantly (p< 0.001) decreased tumor growth, supporting the contribution of macrophages to FL progression. Cell culture supernatants from FL-FDC co-cultures were enriched in pro-angiogenic factors and in the macrophage-attractant CCL2, favoring in vitro monocyte recruitment to the tumor. Moreover, primary cultures of FL cells induce monocyte differentiation towards M2-like macrophages (Fig.1). FL viability was significantly increased in FL-M2 co-cultures, and gene sets related to migration, adhesion and invasion were enriched in FL cells (Fig.2). Interestingly, in FL tumor biopsies, while the well-established M2 maker CD163 did not correlate with FL clinical parameters, CSF1-R expression correlated with the histological grade. The CSF1-R inhibitor Pexidartinib (PLX3397) changed M2 integrin profile decreasing their adhesion, and switching the M2 macrophage polarization towards a M1 phenotype (Fig.3). PLX3397 hampers the in vitro pro-survival effect provided by M2 to FL primary cells. In vivo, the simultaneous targeting of FL tumor cells with anti-CD20 Rituximab and Macrophages with PLX3397, led to a cooperative and significant reduction of tumor growth (Fig.4). Keywords: dendritic cells; follicular lymphoma (FL); macrophages.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.273
Threshold uncertainty score0.347

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.019
GPT teacher head0.299
Teacher spread0.280 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

Quick stats

Citations2
Published2019
Admission routes1
Has abstractyes

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